Rare Disease Genetic Testing Market - A Global and Regional Analysis: Focus on Disease Type, Offering, Specialty Type, Sample Type, Trait Type, Technology, Age Group, End User, and Country Analysis - Analysis and Forecast, 2023-2033
Introduction of Rare Disease Genetic Testing
The global rare disease genetic testing market was valued at $4.11 billion in 2022 and is anticipated to reach $16.69 billion by 2033, witnessing a CAGR of 13.69% during the forecast period 2023-2033. Cutting-edge technologies, such as whole-genome sequencing (WGS) and whole-exome sequencing (WES), involve the analysis of an individual's complete genetic code (genome) or specific protein-coding regions (exome), respectively. These methods help identify genetic variations, mutations, or abnormalities responsible for rare diseases.
Market Introduction
Before the advent of NGS (which includes WGS and WES), physicians relied on the Sanger sequencing-based tests, which could detect rare diseases but were extremely time-consuming. Additionally, till all the tests were completed, physicians had to rely on a general diagnostic odyssey or general diagnosis until definitive results were available. This delayed the treatment process. As per BIS research, the global rare disease genetic testing market includes panels and tests that can be used for more rare disease genetic testing. These are predominantly polymerase chain reaction (PCR) and next-generation sequencing (NGS) based tests, panels, and assays. The most common rare disease genetic testing panels include gastroenterology, endocrine and metabolism, and neurology disease, among others.
Industrial Impact
The global rare disease genetic testing market has witnessed significant growth, attributed to the increasing demand for early detection of rare diseases. The increasing prevalence of rare diseases has played a critical role in market growth. Furthermore, growing recognition and emphasis on early detection and prevention of rare diseases in pediatric populations around the world are also expected to influence market growth.
Rare disease genetic testing has immense potential to deliver next-level healthcare solutions. For instance, in January 2023, BGI Genomics, in collaboration with the National Centre for Cardiovascular Diseases, Fuwai Hospital, and the State Key Laboratory of Cardiovascular Diseases, developed the 'CardioGen automated interpretation system,' which serves as the genotype and phenotype database of monogenic cardiovascular disease. Other factors also impact the market growth, including increased patient demand and low turnaround time of these tests.
Market Segmentation:
Segmentation 1: by Disease Type
Based on disease type, the rare disease genetic testing market is led by endocrine and metabolism, which held a 21.88% share in 2022. The burden of endocrine and metabolism diseases often has a high prevalence in the general population, making their diagnosis and management particularly challenging. Their diagnosis addresses genetic testing such as NGS. Further, it also includes biomarker analysis, newborn screening, and molecular diagnostic techniques.
Segmentation 2: Offering
Based on offerings, the rare disease genetic testing market is led by services, which held an 81.58% share in 2022. Services are specifically tailored to meet the distinct requirements of individuals affected by rare diseases, healthcare professionals, and researchers engaged in this field. The availability of these services complements the use of diagnostic products and facilitates comprehensive and personalized rare disease genetic testing.
Segmentation 3: by Specialty Type
Based on specialty type, the rare disease genetic testing market is led by molecular genetic tests, which held a 58.89% share in 2022. The key reason for the increasing popularity of molecular genetic testing is that it provides crucial information for genetic counseling and family planning for individuals and families affected by rare diseases. By identifying specific genetic mutations, families can gain insights into the likelihood of disease inheritance and assess the risk of passing on the condition to future generations. This type of testing is utilized to identify genetic disorders in newborns, allowing for prompt intervention and treatment initiation.
Segmentation 4: by Sample Type
Based on sample type, the rare disease genetic testing market is led by blood samples, and it held a 33.99% share in 2022. Blood samples undergo processing to isolate different components, including white blood cells, serum, or plasma. These isolated components are then subjected to further analysis to detect genetic abnormalities, identify biochemical markers, or explore other diagnostic indicators. Genetic testing methods such as PCR, DNA sequencing, and microarrays can be employed on blood samples to identify specific genetic mutations that are associated with rare diseases.
Segmentation 5: by Trait Type
Based on trait type, the rare disease genetic testing market is led by inherited traits, which held an 82.59% share in 2022. Inherited traits are characteristics or conditions that are passed down from parents to their offspring through genetic material, i.e., DNA. These traits result from variations or mutations in the genes and can increase the risk of developing certain rare diseases.
Segmentation 6: by Technology
Based on technology, the rare disease genetic testing market is led by next-generation sequencing (NGS), and it held a 43.80% share in 2022. NGS technology provides higher sensitivity and specificity in detecting genetic variants, including single-nucleotide variants (SNVs), insertions, deletions, and structural rearrangements. This technology also extends its applications to non-invasive prenatal testing, including the detection of fetal chromosomal abnormalities associated with certain rare genetic conditions.
Segmentation 7: by Age Group
Based on age group, the rare disease genetic testing market is led by the prenatal age group, which held a 39.68% share in 2022. Prenatal testing and diagnostics play a crucial role in identifying potential rare diseases and congenital abnormalities in the fetus. Prenatal testing methods such as chorionic villus sampling (CVS) and amniocentesis are employed to detect genetic disorders or developmental issues.
Segmentation 8: by End User
Based on end users, the rare disease genetic testing market is led by hospitals, which recorded a 53.12% share in 2022. Hospitals are at the forefront of adopting syndromic testing panels into routine healthcare procedures. Hospitals, particularly in leading regions such as North America and Europe, and also to a certain extent in Asia-Pacific, have incorporated syndromic testing panels and assays to provide superior care to patients.
Segmentation 9: by Region
Recent Developments in the Rare Disease Genetic Testing Market
Market Demand Drivers:
Rapid Technological Advancements in Rare Disease Diagnosis: Technological advancements, such as next-generation sequencing (NGS), targeted gene panels, and artificial intelligence (AI)-based algorithms, have significantly improved diagnostic accuracy for rare diseases. NGS enables comprehensive genomic analysis, allowing for the identification of disease-causing genetic mutations with higher precision. By identifying the underlying genetic mechanisms and individualizing treatment plans, technological advancements are improving patient outcomes, patient satisfaction, and overall market growth. These advancements have also led to the emergence of new areas of rare disease genetic testing, which have opened up new avenues for research and drug discovery.
Rising Prevalence of Genetic Disorders and Congenital Disorders: The rising prevalence of genetic disorders and congenital disorders has a significant impact on the growth of the global rare disease genetic testing market. Increased demand for diagnostic services, expansion of screening programs, focus on personalized medicine, research and development initiatives, supportive regulatory environment, and patient advocacy all contribute to the expanding market. Furthermore, the rising prevalence led to an expansion of screening programs. Governments and healthcare organizations are implementing newborn screening programs and prenatal genetic testing initiatives to identify these disorders early.
Growing Recognition and Emphasis on Early Detection and Prevention of Rare Diseases in Paediatric Populations: Increased consumer demand for early detection and prevention, coupled with a focus on personalized medicine and precision healthcare, is expected to fuel the growth of the global rare disease market. Awareness and education, patient empowerment, expanded screening programs, preventive healthcare strategies, supportive policies, and insurance coverage are all contributing to the expansion of diagnostic services and driving market demand for rare disease genetic testing.
Market Challenges:
Lack of Consolidation of Information Leading to Difficulty in Diagnosis: The lack of consolidation of information and the resulting difficulty in diagnosis poses significant challenges for the global rare disease genetic testing market. Rare diseases often have limited available information, fragmented research findings, and scattered expertise. The vast number of rare diseases, each with its unique set of symptoms and genetic variations, makes it challenging to consolidate comprehensive knowledge and expertise in a centralized manner.
Significant Capital Requirement for Research and Development Hindering Global Expansion Efforts: The significant capital requirement for research and development (R&D) poses a notable challenge for the global rare disease genetic testing market. Research and development in the field of rare diseases often involve extensive genetic studies, clinical trials, and the development of innovative diagnostic tools and therapies. These activities require substantial financial investment, as they involve specialized expertise, laboratory infrastructure, regulatory compliance, and patient recruitment. The high costs associated with R&D act as a barrier, particularly for smaller companies and research institutions with limited resources, hindering their ability to undertake comprehensive research and development efforts. Rare diseases, by definition, affect a small patient population. Hence, the limited commercial market potential for treatments and diagnostics creates challenges in attracting sufficient private investment.
Market Opportunities:
Whole-Genome Sequencing Putting an End to the Rare Disease Diagnostic Odysseys: Whole-genome sequencing (WGS) has the potential to put an end to rare disease genetic testing odysseys and presents significant opportunities for the global rare disease genetic testing market. This technology enables a comprehensive analysis of an individual's entire genome, providing a comprehensive view of the genetic variations and mutations. This approach allows for the detection of both common and rare genetic variants, including those associated with rare diseases.
AI-Based Diagnostic Tools Diagnosing Rare Diseases by Identifying Potential Diagnoses: AI-based diagnostic tools that utilize machine learning and artificial intelligence algorithms present significant opportunities for the global rare disease market by improving the diagnosis of rare diseases. Artificial intelligence (AI) and machine learning algorithms are revolutionizing rare disease genetic testing by analyzing large datasets, identifying patterns, and making accurate predictions. For instance, in July 2021, Sema4, the parent organization of GeneDx, successfully concluded a transaction with CM Life Sciences, marking its debut as a publicly traded company. The company now operates as an AI-driven genomics and clinical data platform company.
Transitioning toward Increased Genetics Coverage in Reimbursement Policies: Transitioning toward increased genetics coverage in reimbursement policies presents a valuable opportunity for the global rare disease genetic testing market. It improves access to genetic testing, encourages early diagnosis and intervention, supports research and development efforts, stimulates innovation, reduces financial burdens for patients, and aligns with the principles of personalized medicine. These factors collectively contribute to improved diagnostic rates and advancements in rare disease management.
How Can This Report Add Value to an Organization?
Product/Innovation Strategy: The global rare disease genetic testing market has been extensively segmented on the basis of various categories, such as disease type, specialty type, sample type, end-user, and region. This can help readers understand which segments account for the largest share and which are well-positioned to grow in the coming years.
Growth/Marketing Strategy: Partnerships, collaborations, product launches, and upgrades accounted for the maximum number of key developments, i.e., nearly 86.2% of the total developments in the global rare disease genetic testing market were between January 2021 and June 2023.
Competitive Strategy: The global rare disease genetic testing market has numerous established players paving their way into providing tests, panels, and assays in the market. Key players in the global rare disease genetic testing market analyzed and profiled in the study involve established players offering various disease-specific panels and multiplex instruments.
Key Market Players and Competition Synopsis
The companies that are profiled have been selected based on inputs gathered from primary experts and analyzing company coverage, product portfolio, and market penetration.
Key Companies Profiled:
The global rare disease genetic testing market was valued at $4.11 billion in 2022 and is anticipated to reach $16.69 billion by 2033, witnessing a CAGR of 13.69% during the forecast period 2023-2033. Cutting-edge technologies, such as whole-genome sequencing (WGS) and whole-exome sequencing (WES), involve the analysis of an individual's complete genetic code (genome) or specific protein-coding regions (exome), respectively. These methods help identify genetic variations, mutations, or abnormalities responsible for rare diseases.
Market Introduction
Before the advent of NGS (which includes WGS and WES), physicians relied on the Sanger sequencing-based tests, which could detect rare diseases but were extremely time-consuming. Additionally, till all the tests were completed, physicians had to rely on a general diagnostic odyssey or general diagnosis until definitive results were available. This delayed the treatment process. As per BIS research, the global rare disease genetic testing market includes panels and tests that can be used for more rare disease genetic testing. These are predominantly polymerase chain reaction (PCR) and next-generation sequencing (NGS) based tests, panels, and assays. The most common rare disease genetic testing panels include gastroenterology, endocrine and metabolism, and neurology disease, among others.
Industrial Impact
The global rare disease genetic testing market has witnessed significant growth, attributed to the increasing demand for early detection of rare diseases. The increasing prevalence of rare diseases has played a critical role in market growth. Furthermore, growing recognition and emphasis on early detection and prevention of rare diseases in pediatric populations around the world are also expected to influence market growth.
Rare disease genetic testing has immense potential to deliver next-level healthcare solutions. For instance, in January 2023, BGI Genomics, in collaboration with the National Centre for Cardiovascular Diseases, Fuwai Hospital, and the State Key Laboratory of Cardiovascular Diseases, developed the 'CardioGen automated interpretation system,' which serves as the genotype and phenotype database of monogenic cardiovascular disease. Other factors also impact the market growth, including increased patient demand and low turnaround time of these tests.
Market Segmentation:
Segmentation 1: by Disease Type
- Gastroenterology Disease
- Endocrine and Metabolism Disease
- Cardiovascular Disease
- Neurology Disease
- Hematology and Oncology Disease
- Dermatology Disease
- Other Diseases
Based on disease type, the rare disease genetic testing market is led by endocrine and metabolism, which held a 21.88% share in 2022. The burden of endocrine and metabolism diseases often has a high prevalence in the general population, making their diagnosis and management particularly challenging. Their diagnosis addresses genetic testing such as NGS. Further, it also includes biomarker analysis, newborn screening, and molecular diagnostic techniques.
Segmentation 2: Offering
- Products
- Services
Based on offerings, the rare disease genetic testing market is led by services, which held an 81.58% share in 2022. Services are specifically tailored to meet the distinct requirements of individuals affected by rare diseases, healthcare professionals, and researchers engaged in this field. The availability of these services complements the use of diagnostic products and facilitates comprehensive and personalized rare disease genetic testing.
Segmentation 3: by Specialty Type
- Molecular Genetic Tests
- Chromosomal Genetic Tests
- Biochemical Genetic Tests
Based on specialty type, the rare disease genetic testing market is led by molecular genetic tests, which held a 58.89% share in 2022. The key reason for the increasing popularity of molecular genetic testing is that it provides crucial information for genetic counseling and family planning for individuals and families affected by rare diseases. By identifying specific genetic mutations, families can gain insights into the likelihood of disease inheritance and assess the risk of passing on the condition to future generations. This type of testing is utilized to identify genetic disorders in newborns, allowing for prompt intervention and treatment initiation.
Segmentation 4: by Sample Type
- DNA Sample
- Buccal Swab Sample
- Blood Sample
- Saliva Sample
- Others
Based on sample type, the rare disease genetic testing market is led by blood samples, and it held a 33.99% share in 2022. Blood samples undergo processing to isolate different components, including white blood cells, serum, or plasma. These isolated components are then subjected to further analysis to detect genetic abnormalities, identify biochemical markers, or explore other diagnostic indicators. Genetic testing methods such as PCR, DNA sequencing, and microarrays can be employed on blood samples to identify specific genetic mutations that are associated with rare diseases.
Segmentation 5: by Trait Type
- Inherited Trait
- Acquired Trait
Based on trait type, the rare disease genetic testing market is led by inherited traits, which held an 82.59% share in 2022. Inherited traits are characteristics or conditions that are passed down from parents to their offspring through genetic material, i.e., DNA. These traits result from variations or mutations in the genes and can increase the risk of developing certain rare diseases.
Segmentation 6: by Technology
- Sanger Sequencing
- PCR
- NGS
- Microarrays
- Others (Targeted Cytogenetics, Karyotyping, and FISH)
Based on technology, the rare disease genetic testing market is led by next-generation sequencing (NGS), and it held a 43.80% share in 2022. NGS technology provides higher sensitivity and specificity in detecting genetic variants, including single-nucleotide variants (SNVs), insertions, deletions, and structural rearrangements. This technology also extends its applications to non-invasive prenatal testing, including the detection of fetal chromosomal abnormalities associated with certain rare genetic conditions.
Segmentation 7: by Age Group
- Prenatal
- Neonate and Infant
- Children and Adolescent
- Adult
Based on age group, the rare disease genetic testing market is led by the prenatal age group, which held a 39.68% share in 2022. Prenatal testing and diagnostics play a crucial role in identifying potential rare diseases and congenital abnormalities in the fetus. Prenatal testing methods such as chorionic villus sampling (CVS) and amniocentesis are employed to detect genetic disorders or developmental issues.
Segmentation 8: by End User
- Hospital
- Diagnostics Laboratories
- Other End Users
Based on end users, the rare disease genetic testing market is led by hospitals, which recorded a 53.12% share in 2022. Hospitals are at the forefront of adopting syndromic testing panels into routine healthcare procedures. Hospitals, particularly in leading regions such as North America and Europe, and also to a certain extent in Asia-Pacific, have incorporated syndromic testing panels and assays to provide superior care to patients.
Segmentation 9: by Region
- North America - U.S., Canada
- Europe - Germany, U.K., France, Italy, Russia, Spain, and Rest-of-Europe
- Asia-Pacific - Japan, India, China, South Korea, Australia, Singapore, and Rest-of-Asia-Pacific
- Latin America - Brazil, Mexico, and Rest-of-Latin America
- Rest-of-the-World
Recent Developments in the Rare Disease Genetic Testing Market
- In April 2023, Agilent Technologies, Inc. and Theragen Bio collaborated in South Korea to advance bioinformatic solutions for cancer genomic profiling.
- In April 2023, 3 billion receives accreditation from the California Department of Public Health (CDPH) as a clinical laboratory. With the CDPH accreditation, hospitals throughout California will now be able to utilize 3 billion's genetic tests for diagnostic purposes and can claim insurance for the tests.
- In February 2023, Akili Labs and BGI Genomics established the first commercial clinical sequencing facility in Africa.
- In January 2023, Premier Research and CENTOGENE formed a strategic partnership to hasten and reduce the risk of clinical development for rare diseases.
- In February 2023, Illumina delivers the first NovaSeq X Plus sequencer and workflow insights on Illumina Complete Long Reads unveiled at Advances in Genome Biology and Technology (AGBT).
- In March 2023, Invitae Announces Partnership with Epic to Streamline Genetic Testing. Through Aura, Epic's specialty diagnostics suite, Invitae will streamline interactions with provider organizations in the Epic community, making test result information available in providers' usual workflows so that it's easier to use genetic insights to inform treatment decisions.
Market Demand Drivers:
Rapid Technological Advancements in Rare Disease Diagnosis: Technological advancements, such as next-generation sequencing (NGS), targeted gene panels, and artificial intelligence (AI)-based algorithms, have significantly improved diagnostic accuracy for rare diseases. NGS enables comprehensive genomic analysis, allowing for the identification of disease-causing genetic mutations with higher precision. By identifying the underlying genetic mechanisms and individualizing treatment plans, technological advancements are improving patient outcomes, patient satisfaction, and overall market growth. These advancements have also led to the emergence of new areas of rare disease genetic testing, which have opened up new avenues for research and drug discovery.
Rising Prevalence of Genetic Disorders and Congenital Disorders: The rising prevalence of genetic disorders and congenital disorders has a significant impact on the growth of the global rare disease genetic testing market. Increased demand for diagnostic services, expansion of screening programs, focus on personalized medicine, research and development initiatives, supportive regulatory environment, and patient advocacy all contribute to the expanding market. Furthermore, the rising prevalence led to an expansion of screening programs. Governments and healthcare organizations are implementing newborn screening programs and prenatal genetic testing initiatives to identify these disorders early.
Growing Recognition and Emphasis on Early Detection and Prevention of Rare Diseases in Paediatric Populations: Increased consumer demand for early detection and prevention, coupled with a focus on personalized medicine and precision healthcare, is expected to fuel the growth of the global rare disease market. Awareness and education, patient empowerment, expanded screening programs, preventive healthcare strategies, supportive policies, and insurance coverage are all contributing to the expansion of diagnostic services and driving market demand for rare disease genetic testing.
Market Challenges:
Lack of Consolidation of Information Leading to Difficulty in Diagnosis: The lack of consolidation of information and the resulting difficulty in diagnosis poses significant challenges for the global rare disease genetic testing market. Rare diseases often have limited available information, fragmented research findings, and scattered expertise. The vast number of rare diseases, each with its unique set of symptoms and genetic variations, makes it challenging to consolidate comprehensive knowledge and expertise in a centralized manner.
Significant Capital Requirement for Research and Development Hindering Global Expansion Efforts: The significant capital requirement for research and development (R&D) poses a notable challenge for the global rare disease genetic testing market. Research and development in the field of rare diseases often involve extensive genetic studies, clinical trials, and the development of innovative diagnostic tools and therapies. These activities require substantial financial investment, as they involve specialized expertise, laboratory infrastructure, regulatory compliance, and patient recruitment. The high costs associated with R&D act as a barrier, particularly for smaller companies and research institutions with limited resources, hindering their ability to undertake comprehensive research and development efforts. Rare diseases, by definition, affect a small patient population. Hence, the limited commercial market potential for treatments and diagnostics creates challenges in attracting sufficient private investment.
Market Opportunities:
Whole-Genome Sequencing Putting an End to the Rare Disease Diagnostic Odysseys: Whole-genome sequencing (WGS) has the potential to put an end to rare disease genetic testing odysseys and presents significant opportunities for the global rare disease genetic testing market. This technology enables a comprehensive analysis of an individual's entire genome, providing a comprehensive view of the genetic variations and mutations. This approach allows for the detection of both common and rare genetic variants, including those associated with rare diseases.
AI-Based Diagnostic Tools Diagnosing Rare Diseases by Identifying Potential Diagnoses: AI-based diagnostic tools that utilize machine learning and artificial intelligence algorithms present significant opportunities for the global rare disease market by improving the diagnosis of rare diseases. Artificial intelligence (AI) and machine learning algorithms are revolutionizing rare disease genetic testing by analyzing large datasets, identifying patterns, and making accurate predictions. For instance, in July 2021, Sema4, the parent organization of GeneDx, successfully concluded a transaction with CM Life Sciences, marking its debut as a publicly traded company. The company now operates as an AI-driven genomics and clinical data platform company.
Transitioning toward Increased Genetics Coverage in Reimbursement Policies: Transitioning toward increased genetics coverage in reimbursement policies presents a valuable opportunity for the global rare disease genetic testing market. It improves access to genetic testing, encourages early diagnosis and intervention, supports research and development efforts, stimulates innovation, reduces financial burdens for patients, and aligns with the principles of personalized medicine. These factors collectively contribute to improved diagnostic rates and advancements in rare disease management.
How Can This Report Add Value to an Organization?
Product/Innovation Strategy: The global rare disease genetic testing market has been extensively segmented on the basis of various categories, such as disease type, specialty type, sample type, end-user, and region. This can help readers understand which segments account for the largest share and which are well-positioned to grow in the coming years.
Growth/Marketing Strategy: Partnerships, collaborations, product launches, and upgrades accounted for the maximum number of key developments, i.e., nearly 86.2% of the total developments in the global rare disease genetic testing market were between January 2021 and June 2023.
Competitive Strategy: The global rare disease genetic testing market has numerous established players paving their way into providing tests, panels, and assays in the market. Key players in the global rare disease genetic testing market analyzed and profiled in the study involve established players offering various disease-specific panels and multiplex instruments.
Key Market Players and Competition Synopsis
The companies that are profiled have been selected based on inputs gathered from primary experts and analyzing company coverage, product portfolio, and market penetration.
Key Companies Profiled:
- 23andMe Holding Co.
- 3billion, Inc.
- Agilent Technologies, Inc.
- Konica Minolta (Ambry Genetics, Inc.)
- BGI Group
- CENTOGENE N.V.
- Eurofins Scientific SE
- GeneDx, Holdings Corp.
- Azenta U.S., Inc. (GENEWIZ, Inc.)
- Illumina, Inc.
- Invitae Corporation
- Laboratory Corporation of America Holdings
- Medgenome
- Myriad Genetics, Inc.
- OPKO Health, Inc.
- PerkinElmer, Inc.
- Exact Sciences Corporation (Prevention Genetics)
- QIAGEN N.V.
- Quest Diagnostics Incorporated
- Strand Life Science Pvt Ltd.
1 MARKETS
1.1 Industry Outlook
1.1.1 Market Definition
1.1.2 Ongoing Trends
1.1.2.1 Development of Small Satellite Constellations
1.1.2.2 Integration with other technologies
1.1.3 Ecosystem/Ongoing Programs
1.1.3.1 Consortiums, Associations, and Regulatory Bodies
1.1.3.2 Government Initiatives and Impacts
1.2 Business Dynamics
1.2.1 Business Drivers
1.2.1.1 Increasing Requirements from Insurance Sector
1.2.1.2 Increasing Farm Consolidation
1.2.1.3 High Benefits over Other Remote Sensing Technology and Infield Monitoring Technology
1.2.1.4 Need for Sustainable Agriculture Practices
1.2.2 Business Challenges
1.2.2.1 Technical Challenges in Obtaining and Analyzing Satellite Imagery
1.2.2.1.1 Hindrance Due to Cloud Cover
1.2.2.1.2 Hindrance due to Spatial and Temporal Resolution
1.2.2.2 Limited Awareness and Understanding across Developing Countries
1.2.2.3 Geopolitical Issues
1.2.3 Market Strategies and Developments
1.2.3.1 Business Strategies
1.2.3.1.1 Product Developments
1.2.3.1.2 Market Developments
1.2.3.2 Corporate Strategies
1.2.3.2.1 Mergers and Acquisitions
1.2.3.2.2 Partnerships, Collaborations, and Joint Ventures
1.2.3.2.3 Snapshot of Corporate Strategies Adopted by the Key Players in the Market
1.2.3.3 Case Study
1.2.3.3.1 Airbus in Yield Optimization
1.2.3.3.2 Planet Labs PBC in Irrigation Intelligence
1.2.3.3.3 EOS Data Analytics,Inc in Precision Agriculture
1.2.4 Business Opportunities
1.2.4.1 Rising Threat of Climate Risk
1.2.4.2 Artificial Intelligence (AI) and Machine Learning (ML) in Action
1.2.4.3 Tapping Small Holding Farmer with Affordable Solutions
1.3 Start-Up Landscape
1.3.1 Key Start-Ups in the Ecosystem
1.3.2 Funding Analysis
1.3.2.1 Total Investment and Number of Funding Deals
1.3.2.2 Top Funding Deals by the Start-ups
1.3.2.3 Funding Analysis (by Country)
1.3.2.4 Top Investors
1.4 Active Satellites for Digital Agriculture Application and their Technicalities
1.5 Impact of Russia-Ukraine Crisis on the Global Satellite Imaging for Agriculture Market
2 APPLICATION
2.1 Global Satellite Imaging for Agriculture Market - by Application
2.1.1 Global Satellite Imaging for Agriculture Market (by Application)
2.1.1.1 Crop Health Monitoring
2.1.1.2 Soil Mapping
2.1.1.3 Forestry
2.1.1.4 Others
2.2 Demand Analysis of Global Satellite Imaging for Agriculture Market (by Application)
2.2.1 Demand Analysis of Global Satellite Imaging for Agriculture Market (by Application)
2.3 Global Satellite Imaging for Agriculture Market - by End User
2.3.1 Global Satellite Imaging for Agriculture Market (by End User)
2.3.1.1 Agribusiness
2.3.1.2 Government and Non-Government Agencies
2.3.1.3 Research Institutions
2.3.1.4 Others (Carbon Platforms and Financial Institutions)
2.4 Demand Analysis of Global Satellite Imaging for Agriculture Market (by End User)
2.4.1 Demand Analysis of Global Satellite Imaging for Agriculture Market (by End User)
3 PRODUCTS
3.1 Global Satellite Imaging for Agriculture Market (by Product)
3.1.1 Data Acquisition
3.1.2 Processing
3.1.3 Analytics
3.1.4 Integrated Delivery Platform
3.2 Demand Analysis of Global Satellite Imaging for Agriculture (by Product)
3.2.1 Demand Analysis of Global Satellite Imaging for Agriculture Market (by Product)
3.3 Value Chain Analysis or Operational Analysis
3.4 Technology Adoption Scenario
3.5 Patent Analysis
3.5.1 Patent Analysis (by Application)
3.5.2 Patent Analysis (by Organization)
3.5.3 Patent Analysis (by Patent Office)
4 REGION
4.1 Global Satellite Imaging for Agriculture Market - by Region
4.2 North America
4.2.1 Markets
4.2.1.1 Key Providers in North America
4.2.1.2 Buyer Attributes
4.2.1.2.1 Farm Size, Number of Farms, and State of Digitalization
4.2.1.2.2 Crop Pattern, Biotic, and Abiotic Stress Factors
4.2.1.3 Business Challenges
4.2.1.4 Business Drivers
4.2.2 Applications
4.2.2.1 North America Satellite Imaging for Agriculture Market (by Application)
4.2.2.2 North America Satellite Imaging for Agriculture Market (by End User)
4.2.3 Products
4.2.3.1 North America Satellite Imaging for Agriculture Market (by Product)
4.2.4 North America (by Country)
4.2.4.1 U.S.
4.2.4.1.1 Markets
4.2.4.1.1.1 Buyer Attributes
4.2.4.1.1.1.1 Farm Size, Number of Farms, and State of Digitalization
4.2.4.1.1.1.2 Crop Pattern, Biotic, and Abiotic Stress Factors
4.2.4.1.1.2 Business Challenges
4.2.4.1.1.3 Business Drivers
4.2.4.1.2 Application
4.2.4.1.2.1 U.S. Satellite Imaging for Agriculture Market (by Application)
4.2.4.1.2.2 U.S. Satellite Imaging for Agriculture Market (by End User)
4.2.4.1.3 Product
4.2.4.1.3.1 U.S. Satellite Imaging for Agriculture Market (by Product)
4.2.4.2 Canada
4.2.4.2.1 Markets
4.2.4.2.1.1 Buyer Attributes
4.2.4.2.1.1.1 Farm Size, Number of Farms, and State of Digitalization
4.2.4.2.1.1.2 Crop Pattern, Biotic, and Abiotic Stress Factors
4.2.4.2.1.2 Business Challenges
4.2.4.2.1.3 Business Drivers
4.2.4.2.2 Application
4.2.4.2.2.1 Canada Satellite Imaging for Agriculture Market (by Application)
4.2.4.2.2.2 Canada Satellite Imaging for Agriculture Market (by End User)
4.2.4.2.3 Product
4.2.4.2.3.1 Canada Satellite Imaging for Agriculture Market (by Product)
4.2.4.3 Mexico
4.2.4.3.1 Markets
4.2.4.3.1.1 Buyer Attributes
4.2.4.3.1.1.1 Farm Size, Number of Farms, and State of Digitalization
4.2.4.3.1.1.2 Crop Pattern, Biotic, and Abiotic Stress Factors
4.2.4.3.1.2 Business Challenges
4.2.4.3.1.3 Business Drivers
4.2.4.3.2 Application
4.2.4.3.2.1 Mexico Satellite Imaging for Agriculture Market (by Application)
4.2.4.3.2.2 Mexico Satellite Imaging for Agriculture Market (by End User)
4.2.4.3.3 Product
4.2.4.3.3.1 Mexico Satellite Imaging for Agriculture Market (by Product)
4.3 South America
4.3.1 Markets
4.3.1.1 Buyer Attributes
4.3.1.1.1 Farm Size, Number of Farms, and State of Digitalization
4.3.1.1.2 Crop Pattern, Biotic, and Abiotic Stress Factors
4.3.1.2 Business Challenges
4.3.1.3 Business Drivers
4.3.2 Applications
4.3.2.1 South America Satellite Imaging for Agriculture Market (by Application)
4.3.2.2 South America Satellite Imaging for Agriculture Market (by End User)
4.3.3 Products
4.3.3.1 South America Satellite Imaging for Agriculture Market (by Product)
4.3.4 South America (by Country)
4.3.4.1 Brazil
4.3.4.1.1 Markets
4.3.4.1.1.1 Buyer Attributes
4.3.4.1.1.1.1 Farm Size, Number of Farms, and State of Digitalization
4.3.4.1.1.1.2 Crop Pattern, Biotic, and Abiotic Stress Factors
4.3.4.1.1.2 Business Challenges
4.3.4.1.1.3 Business Drivers
4.3.4.1.2 Application
4.3.4.1.2.1 Brazil Satellite Imaging for Agriculture Market (by Application)
4.3.4.1.2.2 Brazil Satellite Imaging for Agriculture Market (by End User)
4.3.4.1.3 Product
4.3.4.1.3.1 Brazil Satellite Imaging for Agriculture Market (by Product)
4.3.4.1 Argentina
4.3.4.1.1 Markets
4.3.4.1.1.1 Buyer Attributes
4.3.4.1.1.1.1 Farm Size, Number of Farms, and State of Digitalization
4.3.4.1.1.1.2 Crop Pattern, Biotic, and Abiotic Stress Factors
4.3.4.1.1.2 Business Challenges
4.3.4.1.1.3 Business Drivers
4.3.4.1.2 Application
4.3.4.1.2.1 Argentina Satellite Imaging for Agriculture Market (by Application)
4.3.4.1.2.2 Argentina. Satellite Imaging for Agriculture Market (by End User)
4.3.4.1.3 Product
4.3.4.1.3.1 Argentina Satellite Imaging for Agriculture Market (by Product)
4.3.4.2 Rest-of-South America
4.3.4.2.1 Markets
4.3.4.2.1.1 Buyer Attributes
4.3.4.2.1.1.1 Farm Size, Number of Farms, and State of Digitalization
4.3.4.2.1.1.2 Crop Pattern, Biotic, and Abiotic Stress Factors
4.3.4.2.1.2 Business Challenges
4.3.4.2.1.3 Business Drivers
4.3.4.2.2 Application
4.3.4.2.2.1 Rest-of-South America Satellite Imaging for Agriculture Market (by Application)
4.3.4.2.2.2 Rest-of-South America Satellite Imaging for Agriculture Market (by End User)
4.3.4.2.3 Product
4.3.4.2.3.1 Rest-of-South America Satellite Imaging for Agriculture Market (by Product)
4.4 Europe
4.4.1 Markets
4.4.1.1 Key Providers in Europe
4.4.1.2 Buyer Attributes
4.4.1.2.1 Farm Size, Number of Farms, and State of Digitalization
4.4.1.2.2 Crop Pattern, Biotic, and Abiotic Stress Factors
4.4.1.3 Business Challenges
4.4.1.4 Business Drivers
4.4.2 Applications
4.4.2.1 Europe Satellite Imaging for Agriculture Market (by Application)
4.4.2.2 Europe Satellite Imaging for Agriculture Market (by End User)
4.4.3 Products
4.4.3.1 Europe Satellite Imaging for Agriculture Market (by Product)
4.4.4 Europe (by Country)
4.4.4.1 Italy
4.4.4.1.1 Markets
4.4.4.1.1.1 Buyer Attributes
4.4.4.1.1.1.1 Farm Size, Number of Farms, and State of Digitalization
4.4.4.1.1.1.2 Crop Pattern, Biotic, and Abiotic Stress Factors
4.4.4.1.1.2 Business Challenges
4.4.4.1.1.3 Business Drivers
4.4.4.1.2 Application
4.4.4.1.2.1 Italy Satellite Imaging for Agriculture Market (by Application)
4.4.4.1.2.2 Italy Satellite Imaging for Agriculture Market (by End User)
4.4.4.1.3 Product
4.4.4.1.3.1 Italy Satellite Imaging for Agriculture Market (by Product)
4.4.4.2 France
4.4.4.2.1 Markets
4.4.4.2.1.1 Buyer Attributes
4.4.4.2.1.1.1 Farm Size, Number of Farms, and State of Digitalization
4.4.4.2.1.1.2 Crop Pattern, Biotic, and Abiotic Stress Factors
4.4.4.2.1.2 Business Challenges
4.4.4.2.1.3 Business Drivers
4.4.4.2.2 Application
4.4.4.2.2.1 France Satellite Imaging for Agriculture Market (by Application)
4.4.4.2.2.2 France Satellite Imaging for Agriculture Market (by End User)
4.4.4.2.3 Product
4.4.4.2.3.1 France Satellite Imaging for Agriculture Market (by Product)
4.4.4.3 Netherlands
4.4.4.3.1 Markets
4.4.4.3.1.1 Buyer Attributes
4.4.4.3.1.1.1 Farm Size, Number of Farms, and State of Digitalization
4.4.4.3.1.1.2 Crop Pattern, Biotic, and Abiotic Stress Factors
4.4.4.3.1.2 Business Challenges
4.4.4.3.1.3 Business Drivers
4.4.4.3.2 Application
4.4.4.3.2.1 Netherlands Satellite Imaging for Agriculture Market (by Application)
4.4.4.3.2.2 Netherlands Satellite Imaging for Agriculture Market (by End User)
4.4.4.3.3 Product
4.4.4.3.3.1 Netherlands Satellite Imaging for Agriculture Market (by Product)
4.4.4.4 Germany
4.4.4.4.1 Markets
4.4.4.4.1.1 Buyer Attributes
4.4.4.4.1.1.1 Farm Size, Number of Farms, and State of Digitalization
4.4.4.4.1.1.2 Crop Pattern, Biotic, and Abiotic Stress Factors
4.4.4.4.1.2 Business Challenges
4.4.4.4.1.3 Business Drivers
4.4.4.4.2 Application
4.4.4.4.2.1 Germany Satellite Imaging for Agriculture Market (by Application)
4.4.4.4.2.2 Germany Satellite Imaging for Agriculture Market (by End User)
4.4.4.4.3 Product
4.4.4.4.3.1 Germany Satellite Imaging for Agriculture Market (by Product)
4.4.4.5 Switzerland
4.4.4.5.1 Markets
4.4.4.5.1.1 Buyer Attributes
4.4.4.5.1.1.1 Farm Size, Number of Farms, and State of Digitalization
4.4.4.5.1.1.2 Crop Pattern, Biotic, and Abiotic Stress Factors
4.4.4.5.1.2 Business Challenges
4.4.4.5.1.3 Business Drivers
4.4.4.5.2 Application
4.4.4.5.2.1 Switzerland Satellite Imaging for Agriculture Market (by Application)
4.4.4.5.2.2 Switzerland Satellite Imaging for Agriculture Market (by End User)
4.4.4.5.3 Product
4.4.4.5.3.1 Switzerland Satellite Imaging for Agriculture Market (by Product)
4.4.4.6 Belgium
4.4.4.6.1 Markets
4.4.4.6.1.1 Buyer Attributes
4.4.4.6.1.1.1 Farm Size, Number of Farms, and State of Digitalization
4.4.4.6.1.1.2 Crop Pattern, Biotic, and Abiotic Stress Factors
4.4.4.6.1.2 Business Challenges
4.4.4.6.1.3 Business Drivers
4.4.4.6.2 Application
4.4.4.6.2.1 Belgium Satellite Imaging for Agriculture Market (by Application)
4.4.4.6.2.2 Belgium Satellite Imaging for Agriculture Market (by End User)
4.4.4.6.3 Product
4.4.4.6.3.1 Belgium Satellite Imaging for Agriculture Market (by Product)
4.4.4.7 Spain
4.4.4.7.1 Markets
4.4.4.7.1.1 Buyer Attributes
4.4.4.7.1.1.1 Farm Size, Number of Farms, and State of Digitalization
4.4.4.7.1.1.2 Crop Pattern, Biotic, and Abiotic Stress Factors
4.4.4.7.1.2 Business Challenges
4.4.4.7.1.3 Business Drivers
4.4.4.7.2 Application
4.4.4.7.2.1 Spain Satellite Imaging for Agriculture Market (by Application)
4.4.4.7.2.2 Spain Satellite Imaging for Agriculture Market (by End User)
4.4.4.7.3 Product
4.4.4.7.3.1 Spain Satellite Imaging for Agriculture Market (by Product)
4.4.4.8 Rest-of-Europe
4.4.4.8.1 Markets
4.4.4.8.1.1 Buyer Attributes
4.4.4.8.1.1.1 Farm Size, Number of Farms, and State of Digitalization
4.4.4.8.1.1.2 Crop Pattern, Biotic, and Abiotic Stress Factors
4.4.4.8.1.2 Business Challenges
4.4.4.8.1.3 Business Drivers
4.4.4.8.2 Application
4.4.4.8.2.1 Rest-of-Europe Satellite Imaging for Agriculture Market (by Application)
4.4.4.8.2.2 Rest-of-Europe Satellite Imaging for Agriculture Market (by End User)
4.4.4.8.3 Product
4.4.4.8.3.1 Rest-of-Europe Satellite Imaging for Agriculture Market (by Product)
4.5 U.K.
4.5.1 Markets
4.5.1.1 Buyer Attributes
4.5.1.1.1 Farm Size, Number of Farms, and State of Digitalization
4.5.1.1.2 Crop Pattern, Biotic, and Abiotic Stress Factors
4.5.1.2 Business Challenges
4.5.1.3 Business Drivers
4.5.2 Applications
4.5.2.1 U.K. Satellite Imaging for Agriculture Market (by Application)
4.5.2.2 U.K. Satellite Imaging for Agriculture Market (by End User)
4.5.3 Products
4.5.3.1 U.K. Satellite Imaging for Agriculture Market, (by Product) (in terms of Volume and Value)
4.6 Middle East and Africa
4.6.1 Markets
4.6.1.1 Buyer Attributes
4.6.1.1.1 Farm Size, Number of Farms, and State of Digitalization
4.6.1.1.2 Crop Pattern, Biotic, and Abiotic Stress Factors
4.6.1.2 Business Challenges
4.6.1.3 Business Drivers
4.6.2 Applications
4.6.2.1 Middle East and Africa Satellite Imaging for Agriculture Market (by Application)
4.6.2.2 Middle East and Africa Satellite Imaging for Agriculture Market (by End User)
4.6.3 Products
4.6.3.1 Middle East and Africa Satellite Imaging for Agriculture Market (by Product)
4.6.4 Middle East and Africa (by Country)
4.6.4.1 South Africa
4.6.4.1.1 Markets
4.6.4.1.1.1 Buyer Attributes
4.6.4.1.1.1.1 Farm Size, Number of Farms, and State of Digitalization
4.6.4.1.1.1.2 Crop Pattern, Biotic, and Abiotic Stress Factors
4.6.4.1.1.2 Business Challenges
4.6.4.1.1.3 Business Drivers
4.6.4.1.2 Application
4.6.4.1.2.1 South Africa Satellite Imaging for Agriculture Market (by Application)
4.6.4.1.2.2 South Africa Satellite Imaging for Agriculture Market (by End User)
4.6.4.1.3 Product
4.6.4.1.3.1 South Africa Satellite Imaging for Agriculture Market (by Product)
4.6.4.2 Turkey
4.6.4.2.1 Markets
4.6.4.2.1.1 Buyer Attributes
4.6.4.2.1.1.1 Farm Size, Number of Farms, and State of Digitalization
4.6.4.2.1.1.2 Crop Pattern, Biotic, and Abiotic Stress Factors
4.6.4.2.1.2 Business Challenges
4.6.4.2.1.3 Business Drivers
4.6.4.2.2 Application
4.6.4.2.2.1 Turkey Satellite Imaging for Agriculture Market (by Application)
4.6.4.2.2.2 Turkey Satellite Imaging for Agriculture Market (by End User)
4.6.4.2.3 Product
4.6.4.2.3.1 Turkey Satellite Imaging for Agriculture Market (by Product)
4.6.4.3 Israel
4.6.4.3.1 Markets
4.6.4.3.1.1 Buyer Attributes
4.6.4.3.1.1.1 Farm Size, Number of Farms, and State of Digitalization
4.6.4.3.1.1.2 Crop Pattern, Biotic, and Abiotic Stress Factors
4.6.4.3.1.2 Business Challenges
4.6.4.3.1.3 Business Drivers
4.6.4.3.2 Application
4.6.4.3.2.1 Israel Satellite Imaging for Agriculture Market (by Application)
4.6.4.3.2.2 Israel Satellite Imaging for Agriculture Market (by End User)
4.6.4.3.3 Product
4.6.4.3.3.1 Israel Satellite Imaging for Agriculture Market (by Product)
4.6.4.4 Rest-of-Middle East and Africa
4.6.4.4.1 Markets
4.6.4.4.1.1 Buyer Attributes
4.6.4.4.1.1.1 Farm Size, Number of Farms, and State of Digitalization
4.6.4.4.1.1.2 Crop Pattern, Biotic, and Abiotic Stress Factors
4.6.4.4.1.2 Business Challenges
4.6.4.4.1.3 Business Drivers
4.6.4.4.2 Application
4.6.4.4.2.1 Rest-of-Middle East and Africa Satellite Imaging for Agriculture Market (by Application)
4.6.4.4.2.2 Rest-of-Middle East and Africa Satellite Imaging for Agriculture Market (by End User)
4.6.4.4.3 Product
4.6.4.4.3.1 Rest-of-Middle East and Africa Satellite Imaging for Agriculture Market (by Product)
4.7 China
4.7.1 Markets
4.7.1.1 Buyer Attributes
4.7.1.1.1 Farm Size, Number of Farms, and State of Digitalization
4.7.1.1.2 Crop Pattern, Biotic, and Abiotic Stress Factors
4.7.1.2 Business Challenges
4.7.1.3 Business Drivers
4.7.2 Applications
4.7.2.1 China Satellite Imaging for Agriculture Market (by Application)
4.7.2.2 China Satellite Imaging for Agriculture Market (by End User)
4.7.3 Products
4.7.3.1 China Satellite Imaging for Agriculture Market (by Product)
4.8 Asia-Pacific
4.8.1 Markets
4.8.1.1 Key Providers in Asia-Pacific
4.8.1.2 Buyer Attributes
4.8.1.2.1 Farm Size, Number of Farms, and State of Digitalization
4.8.1.2.2 Crop Pattern, Biotic, and Abiotic Stress Factors
4.8.1.3 Business Challenges
4.8.1.4 Business Drivers
4.8.2 Applications
4.8.2.1 Asia-Pacific Satellite Imaging for Agriculture Market (by Application)
4.8.2.2 Asia-Pacific Satellite Imaging for Agriculture Market (by End User)
4.8.3 Products
4.8.3.1 Asia-Pacific Satellite Imaging for Agriculture Market (by Product)
4.8.4 Asia-Pacific (by Country)
4.8.4.1 Japan
4.8.4.1.1 Markets
4.8.4.1.1.1 Buyer Attributes
4.8.4.1.1.1.1 Farm Size, Number of Farms, and State of Digitalization
4.8.4.1.1.1.2 Crop Pattern, Biotic, and Abiotic Stress Factors
4.8.4.1.1.2 Business Challenges
4.8.4.1.1.3 Business Drivers
4.8.4.1.2 Application
4.8.4.1.2.1 Japan Satellite Imaging for Agriculture Market (by Application)
4.8.4.1.2.2 Japan Satellite Imaging for Agriculture Market (by End User)
4.8.4.1.3 Product
4.8.4.1.3.1 Japan Satellite Imaging for Agriculture Market (by Product)
4.8.4.2 Australia and New Zealand
4.8.4.2.1 Markets
4.8.4.2.1.1 Buyer Attributes
4.8.4.2.1.1.1 Farm Size, Number of Farms, and State of Digitalization
4.8.4.2.1.1.2 Crop Pattern, Biotic, and Abiotic Stress Factors
4.8.4.2.1.2 Business Challenges
4.8.4.2.1.3 Business Drivers
4.8.4.2.2 Application
4.8.4.2.2.1 Australia and New Zealand Satellite Imaging for Agriculture Market (by Application)
4.8.4.2.2.2 Australia and New Zealand Satellite Imaging for Agriculture Market (by End User)
4.8.4.2.3 Product
4.8.4.2.3.1 Australia and New Zealand Satellite Imaging for Agriculture Market (by Product)
4.8.4.3 South Korea
4.8.4.3.1 Markets
4.8.4.3.1.1 Buyer Attributes
4.8.4.3.1.1.1 Farm Size, Number of Farms, and State of Digitalization
4.8.4.3.1.1.2 Crop Pattern, Biotic, and Abiotic Stress Factors
4.8.4.3.1.2 Business Challenges
4.8.4.3.1.3 Business Drivers
4.8.4.3.2 Application
4.8.4.3.2.1 South Korea Satellite Imaging for Agriculture Market (by Application)
4.8.4.3.2.2 South Korea Satellite Imaging for Agriculture Market (by End User)
4.8.4.3.3 Product
4.8.4.3.3.1 South Korea Satellite Imaging for Agriculture Market (by Product)
4.8.4.4 India
4.8.4.4.1 Markets
4.8.4.4.1.1 Buyer Attributes
4.8.4.4.1.1.1 Farm Size, Number of Farms, and State of Digitalization
4.8.4.4.1.1.2 Crop Pattern, Biotic, and Abiotic Stress Factors
4.8.4.4.1.2 Business Challenges
4.8.4.4.1.3 Business Drivers
4.8.4.4.2 Application
4.8.4.4.2.1 India Satellite Imaging for Agriculture Market (by Application)
4.8.4.4.2.2 India Satellite Imaging for Agriculture Market (by End User)
4.8.4.4.3 Product
4.8.4.4.3.1 India Satellite Imaging for Agriculture Market (by Product)
4.8.4.5 Rest-of-Asia-Pacific
4.8.4.5.1 Markets
4.8.4.5.1.1 Buyer Attributes
4.8.4.5.1.1.1 Farm Size, Number of Farms, and State of Digitalization
4.8.4.5.1.1.2 Crop Pattern, Biotic, and Abiotic Stress Factors
4.8.4.5.1.2 Business Challenges
4.8.4.5.1.3 Business Drivers
4.8.4.5.2 Application
4.8.4.5.2.1 Rest-of-Asia-Pacific Satellite Imaging for Agriculture Market (by Application)
4.8.4.5.2.2 Rest-of-Asia-Pacific Satellite Imaging for Agriculture Market (by End User)
4.8.4.5.3 Product
4.8.4.5.3.1 Rest-of-Asia-Pacific Satellite Imaging for Agriculture Market (by Product)
5 MARKETS - COMPETITIVE BENCHMARKING & COMPANY PROFILES
5.1 Competitive Benchmarking
5.2 Market Share Analysis
5.3 Company Profiles
5.3.1 Airbus
5.3.1.1 Company Overview
5.3.1.1.1 Role of Airbus in the Global Satellite Imaging for Agriculture Market
5.3.1.1.2 Product Portfolio
5.3.1.2 Business Strategies
5.3.1.2.1 Product Development
5.3.1.3 Corporate Strategies
5.3.1.3.1 Partnership, Joint Venture, Collaboration and Alliance
5.3.1.4 Customer Profile
5.3.1.4.1 Target Customer Segment
5.3.1.4.2 Key Clients
5.3.1.5 Analyst View
5.3.1.5.1 Regional Growth
5.3.2 Descartes Labs, Inc
5.3.2.1 Company Overview
5.3.2.1.1 Role of Descartes Labs, Inc in the Global Satellite Imaging for Agriculture Market
5.3.2.1.2 Product Portfolio
5.3.2.2 Business Strategies
5.3.2.2.1 Product Development
5.3.2.2.2 Market Development
5.3.2.3 Corporate Strategies
5.3.2.3.1 Merger and Acquisition
5.3.2.4 Customer Profile
5.3.2.4.1 Target Customer Segment
5.3.2.5 Analyst View
5.3.2.5.1 Regional Growth
5.3.3 EOS Data Analytics,Inc
5.3.3.1 Company Overview
5.3.3.1.1 Role of EOS Data Analytics,Inc in the Global Satellite Imaging for Agriculture Market
5.3.3.1.2 Product Portfolio
5.3.3.2 Corporate Strategies
5.3.3.2.1 Partnership, Joint Venture, Collaboration and Alliance
5.3.3.3 Customer Profile
5.3.3.3.1 Target Customer Segment
5.3.3.4 Analyst View
5.3.3.4.1 Regional Growth
5.3.4 Esri
5.3.4.1 Company Overview
5.3.4.1.1 Role of Esri in the Global Satellite Imaging for Agriculture Market
5.3.4.1.2 Product Portfolio
5.3.4.2 Corporate Strategies
5.3.4.2.1 Partnership, Joint Venture, Collaboration and Alliance
5.3.4.3 Customer Profile
5.3.4.3.1 Target Customer Segment
5.3.4.4 Analyst View
5.3.4.4.1 Regional Growth
5.3.5 European Space Imaging
5.3.5.1 Company Overview
5.3.5.1.1 Role of European Space Imaging in the Global Satellite Imaging for Agriculture Market
5.3.5.1.2 Product Portfolio
5.3.5.2 Corporate Strategies
5.3.5.2.1 Partnership, Joint Venture, Collaboration and Alliance
5.3.5.3 Customer Profile
5.3.5.3.1 Target Customer Segment
5.3.5.4 Analyst View
5.3.5.4.1 Regional Growth
5.3.6 Farmers Edge Inc
5.3.6.1 Company Overview
5.3.6.1.1 Role of Farmers Edge Inc in the Global Satellite Imaging for Agriculture Market
5.3.6.1.2 Product Portfolio
5.3.6.2 Corporate Strategies
5.3.6.2.1 Partnership, Joint Venture, Collaboration and Alliance
5.3.6.3 Customer Profile
5.3.6.3.1 Target Customer Segment
5.3.6.4 Analyst View
5.3.6.4.1 Regional Growth
5.3.7 Gamaya
5.3.7.1 Company Overview
5.3.7.1.1 Role of Gamaya in the Global Satellite Imaging for Agriculture Market
5.3.7.1.2 Product Portfolio
5.3.7.2 Business Strategies
5.3.7.2.1 Product Development
5.3.7.3 Customer Profile
5.3.7.3.1 Target Customer Segment
5.3.7.4 Analyst View
5.3.7.4.1 Regional Growth
5.3.8 ICEYE
5.3.8.1 Company Overview
5.3.8.1.1 Role of ICEYE in the Global Satellite Imaging for Agriculture Market
5.3.8.1.2 Product Portfolio
5.3.8.2 Business Strategies
5.3.8.2.1 Market Development
5.3.8.3 Customer Profile
5.3.8.3.1 Target Customer Segment
5.3.8.3.2 Key Clients
5.3.8.4 Analyst View
5.3.8.4.1 Regional Growth
5.3.9 NaraSpace Inc
5.3.9.1 Company Overview
5.3.9.1.1 Role of NaraSpace Inc in the Global Satellite Imaging for Agriculture Market
5.3.9.1.2 Product Portfolio
5.3.9.2 Corporate Strategies
5.3.9.2.1 Partnership, Joint Venture, Collaboration and Alliance
5.3.9.3 Customer Profile
5.3.9.3.1 Target Customer Segment
5.3.9.4 Analyst View
5.3.9.4.1 Regional Growth
5.3.10 Open Cosmos Ltd
5.3.10.1 Company Overview
5.3.10.1.1 Role of Open Cosmos Ltd in the Global Satellite Imaging for Agriculture Market
5.3.10.1.2 Product Portfolio
5.3.10.2 Business Strategies
5.3.10.2.1 Product Development
5.3.10.3 Corporate Strategies
5.3.10.3.1 Partnership, Joint Venture, Collaboration and Alliance
5.3.10.4 Customer Profile
5.3.10.4.1 Target Customer Segment
5.3.10.5 Analyst View
5.3.10.5.1 Regional Growth
5.3.11 Planet Labs PBC
5.3.11.1 Company Overview
5.3.11.1.1 Role of Planet Labs PBC in the Global Satellite Imaging for Agriculture Market
5.3.11.1.2 Product Portfolio
5.3.11.2 Business Strategies
5.3.11.2.1 Product Development
5.3.11.3 Corporate Strategies
5.3.11.3.1 Merger and Acquisition
5.3.11.3.2 Partnership, Joint Venture, Collaboration and Alliance
5.3.11.4 Customer Profile
5.3.11.4.1 Target Customer Segment
5.3.11.4.2 Key Clients
5.3.11.5 Analyst View
5.3.11.5.1 Regional Growth
5.3.12 Satellite Imaging Corporation
5.3.12.1 Company Overview
5.3.12.1.1 Role of Satellite Imaging Corporation in the Global Satellite Imaging for Agriculture Market
5.3.12.1.2 Product Portfolio
5.3.12.2 Customer Profile
5.3.12.2.1 Target Customer Segment
5.3.12.3 Analyst View
5.3.12.3.1 Regional Growth
5.3.13 Satellogic
5.3.13.1 Company Overview
5.3.13.1.1 Role of Satellogic in the Global Satellite Imaging for Agriculture Market
5.3.13.1.2 Product Portfolio
5.3.13.2 Business Strategies
5.3.13.2.1 Market Development
5.3.13.3 Corporate Strategies
5.3.13.3.1 Partnership, Joint Venture, Collaboration and Alliance
5.3.13.4 Customer Profile
5.3.13.4.1 Target Customer Segment
5.3.13.5 Analyst View
5.3.13.5.1 Regional Growth
5.3.14 SkyWatch
5.3.14.1 Company Overview
5.3.14.1.1 Role of SkyWatch in the Global Satellite Imaging for Agriculture Market
5.3.14.1.2 Product Portfolio
5.3.14.2 Business Strategies
5.3.14.2.1 Product Development
5.3.14.3 Corporate Strategies
5.3.14.3.1 Partnership, Joint Venture, Collaboration and Alliance
5.3.14.4 Customer Profile
5.3.14.4.1 Target Customer Segment
5.3.14.5 Analyst View
5.3.14.5.1 Regional Growth
5.3.15 SpaceKnow Inc.
5.3.15.1 Company Overview
5.3.15.1.1 Role of SpaceKnow Inc. in the Global Satellite Imaging for Agriculture Market
5.3.15.1.2 Product Portfolio
5.3.15.2 Customer Profile
5.3.15.2.1 Target Customer Segment
5.3.15.3 Analyst View
5.3.15.3.1 Regional Growth
5.3.16 Syngenta
5.3.16.1 Company Overview
5.3.16.2 Role of Syngenta in Global Satellite Imaging for Agriculture Market
5.3.16.3 Product Portfolio
5.3.16.4 Business Strategies
5.3.16.4.1 Market Developments
5.3.16.4.2 Product Developments
5.3.16.5 Customer Profile
5.3.16.5.1 Target Customers
5.3.16.6 Analyst View
5.4 Key Start-Ups in the Satellite Imaging for Agriculture Market
5.4.1 EarthDaily Analytics
5.4.1.1 Company Overview
5.4.1.1.1 Role of EarthDaily Analytics in the Global Satellite Imaging for Agriculture Market
5.4.1.1.2 Product Portfolio
5.4.1.2 Business Strategies
5.4.1.2.1 Market Development
5.4.1.3 Customer Profile
5.4.1.3.1 Target Customer Segment
5.4.1.3.2 Key Clients
5.4.1.4 Analyst View
5.4.1.4.1 Regional Growth
5.4.2 Maxar Technologies
5.4.2.1 Company Overview
5.4.2.1.1 Role of Maxar Technologies in the Global Satellite Imaging for Agriculture Market
5.4.2.1.2 Product Portfolio
5.4.2.2 Business Strategies
5.4.2.2.1 Product Development
5.4.2.3 Corporate Strategies
5.4.2.3.1 Merger and Acquisition
5.4.2.3.2 Partnership, Joint Venture, Collaboration and Alliance
5.4.2.4 Customer Profile
5.4.2.4.1 Target Customer Segment
5.4.2.5 Analyst View
5.4.2.5.1 Regional Growth
5.4.3 SatSure
5.4.3.1 Company Overview
5.4.3.1.1 Role of SatSure in the Global Satellite Imaging for Agriculture Market
5.4.3.1.2 Product Portfolio
5.4.3.2 Business Strategies
5.4.3.2.1 Product Development
5.4.3.3 Corporate Strategies
5.4.3.3.1 Merger and Acquisition
5.4.3.3.2 Partnership, Joint Venture, Collaboration and Alliance
5.4.3.4 Customer Profile
5.4.3.4.1 Target Customer Segment
5.4.3.5 Analyst View
5.4.3.5.1 Regional Growth
5.4.4 SpaceSense
5.4.4.1 Company Overview
5.4.4.1.1 Role of SpaceSense in the Global Satellite Imaging for Agriculture Market
5.4.4.1.2 Product Portfolio
5.4.4.2 Corporate Strategies
5.4.4.2.1 Partnership, Joint Venture, Collaboration and Alliance
5.4.4.3 Customer Profile
5.4.4.3.1 Target Customer Segment
5.4.4.3.2 Key Clients
5.4.4.4 Analyst View
5.4.4.4.1 Regional Growth
5.4.5 Synspective
5.4.5.1 Company Overview
5.4.5.1.1 Role of Synspective in the Global Satellite Imaging for Agriculture Market
5.4.5.1.2 Product Portfolio
5.4.5.2 Corporate Strategies
5.4.5.2.1 Partnership, Joint Venture, Collaboration and Alliance
5.4.5.3 Customer Profile
5.4.5.3.1 Target Customer Segment
5.4.5.3.2 Key Clients
5.4.5.4 Analyst View
5.4.5.4.1 Regional Growth
6 RESEARCH METHODOLOGY
6.1 Primary Data Sources
6.2 Secondary Data Sources
6.3 Market Estimation and Forecast
1.1 Industry Outlook
1.1.1 Market Definition
1.1.2 Ongoing Trends
1.1.2.1 Development of Small Satellite Constellations
1.1.2.2 Integration with other technologies
1.1.3 Ecosystem/Ongoing Programs
1.1.3.1 Consortiums, Associations, and Regulatory Bodies
1.1.3.2 Government Initiatives and Impacts
1.2 Business Dynamics
1.2.1 Business Drivers
1.2.1.1 Increasing Requirements from Insurance Sector
1.2.1.2 Increasing Farm Consolidation
1.2.1.3 High Benefits over Other Remote Sensing Technology and Infield Monitoring Technology
1.2.1.4 Need for Sustainable Agriculture Practices
1.2.2 Business Challenges
1.2.2.1 Technical Challenges in Obtaining and Analyzing Satellite Imagery
1.2.2.1.1 Hindrance Due to Cloud Cover
1.2.2.1.2 Hindrance due to Spatial and Temporal Resolution
1.2.2.2 Limited Awareness and Understanding across Developing Countries
1.2.2.3 Geopolitical Issues
1.2.3 Market Strategies and Developments
1.2.3.1 Business Strategies
1.2.3.1.1 Product Developments
1.2.3.1.2 Market Developments
1.2.3.2 Corporate Strategies
1.2.3.2.1 Mergers and Acquisitions
1.2.3.2.2 Partnerships, Collaborations, and Joint Ventures
1.2.3.2.3 Snapshot of Corporate Strategies Adopted by the Key Players in the Market
1.2.3.3 Case Study
1.2.3.3.1 Airbus in Yield Optimization
1.2.3.3.2 Planet Labs PBC in Irrigation Intelligence
1.2.3.3.3 EOS Data Analytics,Inc in Precision Agriculture
1.2.4 Business Opportunities
1.2.4.1 Rising Threat of Climate Risk
1.2.4.2 Artificial Intelligence (AI) and Machine Learning (ML) in Action
1.2.4.3 Tapping Small Holding Farmer with Affordable Solutions
1.3 Start-Up Landscape
1.3.1 Key Start-Ups in the Ecosystem
1.3.2 Funding Analysis
1.3.2.1 Total Investment and Number of Funding Deals
1.3.2.2 Top Funding Deals by the Start-ups
1.3.2.3 Funding Analysis (by Country)
1.3.2.4 Top Investors
1.4 Active Satellites for Digital Agriculture Application and their Technicalities
1.5 Impact of Russia-Ukraine Crisis on the Global Satellite Imaging for Agriculture Market
2 APPLICATION
2.1 Global Satellite Imaging for Agriculture Market - by Application
2.1.1 Global Satellite Imaging for Agriculture Market (by Application)
2.1.1.1 Crop Health Monitoring
2.1.1.2 Soil Mapping
2.1.1.3 Forestry
2.1.1.4 Others
2.2 Demand Analysis of Global Satellite Imaging for Agriculture Market (by Application)
2.2.1 Demand Analysis of Global Satellite Imaging for Agriculture Market (by Application)
2.3 Global Satellite Imaging for Agriculture Market - by End User
2.3.1 Global Satellite Imaging for Agriculture Market (by End User)
2.3.1.1 Agribusiness
2.3.1.2 Government and Non-Government Agencies
2.3.1.3 Research Institutions
2.3.1.4 Others (Carbon Platforms and Financial Institutions)
2.4 Demand Analysis of Global Satellite Imaging for Agriculture Market (by End User)
2.4.1 Demand Analysis of Global Satellite Imaging for Agriculture Market (by End User)
3 PRODUCTS
3.1 Global Satellite Imaging for Agriculture Market (by Product)
3.1.1 Data Acquisition
3.1.2 Processing
3.1.3 Analytics
3.1.4 Integrated Delivery Platform
3.2 Demand Analysis of Global Satellite Imaging for Agriculture (by Product)
3.2.1 Demand Analysis of Global Satellite Imaging for Agriculture Market (by Product)
3.3 Value Chain Analysis or Operational Analysis
3.4 Technology Adoption Scenario
3.5 Patent Analysis
3.5.1 Patent Analysis (by Application)
3.5.2 Patent Analysis (by Organization)
3.5.3 Patent Analysis (by Patent Office)
4 REGION
4.1 Global Satellite Imaging for Agriculture Market - by Region
4.2 North America
4.2.1 Markets
4.2.1.1 Key Providers in North America
4.2.1.2 Buyer Attributes
4.2.1.2.1 Farm Size, Number of Farms, and State of Digitalization
4.2.1.2.2 Crop Pattern, Biotic, and Abiotic Stress Factors
4.2.1.3 Business Challenges
4.2.1.4 Business Drivers
4.2.2 Applications
4.2.2.1 North America Satellite Imaging for Agriculture Market (by Application)
4.2.2.2 North America Satellite Imaging for Agriculture Market (by End User)
4.2.3 Products
4.2.3.1 North America Satellite Imaging for Agriculture Market (by Product)
4.2.4 North America (by Country)
4.2.4.1 U.S.
4.2.4.1.1 Markets
4.2.4.1.1.1 Buyer Attributes
4.2.4.1.1.1.1 Farm Size, Number of Farms, and State of Digitalization
4.2.4.1.1.1.2 Crop Pattern, Biotic, and Abiotic Stress Factors
4.2.4.1.1.2 Business Challenges
4.2.4.1.1.3 Business Drivers
4.2.4.1.2 Application
4.2.4.1.2.1 U.S. Satellite Imaging for Agriculture Market (by Application)
4.2.4.1.2.2 U.S. Satellite Imaging for Agriculture Market (by End User)
4.2.4.1.3 Product
4.2.4.1.3.1 U.S. Satellite Imaging for Agriculture Market (by Product)
4.2.4.2 Canada
4.2.4.2.1 Markets
4.2.4.2.1.1 Buyer Attributes
4.2.4.2.1.1.1 Farm Size, Number of Farms, and State of Digitalization
4.2.4.2.1.1.2 Crop Pattern, Biotic, and Abiotic Stress Factors
4.2.4.2.1.2 Business Challenges
4.2.4.2.1.3 Business Drivers
4.2.4.2.2 Application
4.2.4.2.2.1 Canada Satellite Imaging for Agriculture Market (by Application)
4.2.4.2.2.2 Canada Satellite Imaging for Agriculture Market (by End User)
4.2.4.2.3 Product
4.2.4.2.3.1 Canada Satellite Imaging for Agriculture Market (by Product)
4.2.4.3 Mexico
4.2.4.3.1 Markets
4.2.4.3.1.1 Buyer Attributes
4.2.4.3.1.1.1 Farm Size, Number of Farms, and State of Digitalization
4.2.4.3.1.1.2 Crop Pattern, Biotic, and Abiotic Stress Factors
4.2.4.3.1.2 Business Challenges
4.2.4.3.1.3 Business Drivers
4.2.4.3.2 Application
4.2.4.3.2.1 Mexico Satellite Imaging for Agriculture Market (by Application)
4.2.4.3.2.2 Mexico Satellite Imaging for Agriculture Market (by End User)
4.2.4.3.3 Product
4.2.4.3.3.1 Mexico Satellite Imaging for Agriculture Market (by Product)
4.3 South America
4.3.1 Markets
4.3.1.1 Buyer Attributes
4.3.1.1.1 Farm Size, Number of Farms, and State of Digitalization
4.3.1.1.2 Crop Pattern, Biotic, and Abiotic Stress Factors
4.3.1.2 Business Challenges
4.3.1.3 Business Drivers
4.3.2 Applications
4.3.2.1 South America Satellite Imaging for Agriculture Market (by Application)
4.3.2.2 South America Satellite Imaging for Agriculture Market (by End User)
4.3.3 Products
4.3.3.1 South America Satellite Imaging for Agriculture Market (by Product)
4.3.4 South America (by Country)
4.3.4.1 Brazil
4.3.4.1.1 Markets
4.3.4.1.1.1 Buyer Attributes
4.3.4.1.1.1.1 Farm Size, Number of Farms, and State of Digitalization
4.3.4.1.1.1.2 Crop Pattern, Biotic, and Abiotic Stress Factors
4.3.4.1.1.2 Business Challenges
4.3.4.1.1.3 Business Drivers
4.3.4.1.2 Application
4.3.4.1.2.1 Brazil Satellite Imaging for Agriculture Market (by Application)
4.3.4.1.2.2 Brazil Satellite Imaging for Agriculture Market (by End User)
4.3.4.1.3 Product
4.3.4.1.3.1 Brazil Satellite Imaging for Agriculture Market (by Product)
4.3.4.1 Argentina
4.3.4.1.1 Markets
4.3.4.1.1.1 Buyer Attributes
4.3.4.1.1.1.1 Farm Size, Number of Farms, and State of Digitalization
4.3.4.1.1.1.2 Crop Pattern, Biotic, and Abiotic Stress Factors
4.3.4.1.1.2 Business Challenges
4.3.4.1.1.3 Business Drivers
4.3.4.1.2 Application
4.3.4.1.2.1 Argentina Satellite Imaging for Agriculture Market (by Application)
4.3.4.1.2.2 Argentina. Satellite Imaging for Agriculture Market (by End User)
4.3.4.1.3 Product
4.3.4.1.3.1 Argentina Satellite Imaging for Agriculture Market (by Product)
4.3.4.2 Rest-of-South America
4.3.4.2.1 Markets
4.3.4.2.1.1 Buyer Attributes
4.3.4.2.1.1.1 Farm Size, Number of Farms, and State of Digitalization
4.3.4.2.1.1.2 Crop Pattern, Biotic, and Abiotic Stress Factors
4.3.4.2.1.2 Business Challenges
4.3.4.2.1.3 Business Drivers
4.3.4.2.2 Application
4.3.4.2.2.1 Rest-of-South America Satellite Imaging for Agriculture Market (by Application)
4.3.4.2.2.2 Rest-of-South America Satellite Imaging for Agriculture Market (by End User)
4.3.4.2.3 Product
4.3.4.2.3.1 Rest-of-South America Satellite Imaging for Agriculture Market (by Product)
4.4 Europe
4.4.1 Markets
4.4.1.1 Key Providers in Europe
4.4.1.2 Buyer Attributes
4.4.1.2.1 Farm Size, Number of Farms, and State of Digitalization
4.4.1.2.2 Crop Pattern, Biotic, and Abiotic Stress Factors
4.4.1.3 Business Challenges
4.4.1.4 Business Drivers
4.4.2 Applications
4.4.2.1 Europe Satellite Imaging for Agriculture Market (by Application)
4.4.2.2 Europe Satellite Imaging for Agriculture Market (by End User)
4.4.3 Products
4.4.3.1 Europe Satellite Imaging for Agriculture Market (by Product)
4.4.4 Europe (by Country)
4.4.4.1 Italy
4.4.4.1.1 Markets
4.4.4.1.1.1 Buyer Attributes
4.4.4.1.1.1.1 Farm Size, Number of Farms, and State of Digitalization
4.4.4.1.1.1.2 Crop Pattern, Biotic, and Abiotic Stress Factors
4.4.4.1.1.2 Business Challenges
4.4.4.1.1.3 Business Drivers
4.4.4.1.2 Application
4.4.4.1.2.1 Italy Satellite Imaging for Agriculture Market (by Application)
4.4.4.1.2.2 Italy Satellite Imaging for Agriculture Market (by End User)
4.4.4.1.3 Product
4.4.4.1.3.1 Italy Satellite Imaging for Agriculture Market (by Product)
4.4.4.2 France
4.4.4.2.1 Markets
4.4.4.2.1.1 Buyer Attributes
4.4.4.2.1.1.1 Farm Size, Number of Farms, and State of Digitalization
4.4.4.2.1.1.2 Crop Pattern, Biotic, and Abiotic Stress Factors
4.4.4.2.1.2 Business Challenges
4.4.4.2.1.3 Business Drivers
4.4.4.2.2 Application
4.4.4.2.2.1 France Satellite Imaging for Agriculture Market (by Application)
4.4.4.2.2.2 France Satellite Imaging for Agriculture Market (by End User)
4.4.4.2.3 Product
4.4.4.2.3.1 France Satellite Imaging for Agriculture Market (by Product)
4.4.4.3 Netherlands
4.4.4.3.1 Markets
4.4.4.3.1.1 Buyer Attributes
4.4.4.3.1.1.1 Farm Size, Number of Farms, and State of Digitalization
4.4.4.3.1.1.2 Crop Pattern, Biotic, and Abiotic Stress Factors
4.4.4.3.1.2 Business Challenges
4.4.4.3.1.3 Business Drivers
4.4.4.3.2 Application
4.4.4.3.2.1 Netherlands Satellite Imaging for Agriculture Market (by Application)
4.4.4.3.2.2 Netherlands Satellite Imaging for Agriculture Market (by End User)
4.4.4.3.3 Product
4.4.4.3.3.1 Netherlands Satellite Imaging for Agriculture Market (by Product)
4.4.4.4 Germany
4.4.4.4.1 Markets
4.4.4.4.1.1 Buyer Attributes
4.4.4.4.1.1.1 Farm Size, Number of Farms, and State of Digitalization
4.4.4.4.1.1.2 Crop Pattern, Biotic, and Abiotic Stress Factors
4.4.4.4.1.2 Business Challenges
4.4.4.4.1.3 Business Drivers
4.4.4.4.2 Application
4.4.4.4.2.1 Germany Satellite Imaging for Agriculture Market (by Application)
4.4.4.4.2.2 Germany Satellite Imaging for Agriculture Market (by End User)
4.4.4.4.3 Product
4.4.4.4.3.1 Germany Satellite Imaging for Agriculture Market (by Product)
4.4.4.5 Switzerland
4.4.4.5.1 Markets
4.4.4.5.1.1 Buyer Attributes
4.4.4.5.1.1.1 Farm Size, Number of Farms, and State of Digitalization
4.4.4.5.1.1.2 Crop Pattern, Biotic, and Abiotic Stress Factors
4.4.4.5.1.2 Business Challenges
4.4.4.5.1.3 Business Drivers
4.4.4.5.2 Application
4.4.4.5.2.1 Switzerland Satellite Imaging for Agriculture Market (by Application)
4.4.4.5.2.2 Switzerland Satellite Imaging for Agriculture Market (by End User)
4.4.4.5.3 Product
4.4.4.5.3.1 Switzerland Satellite Imaging for Agriculture Market (by Product)
4.4.4.6 Belgium
4.4.4.6.1 Markets
4.4.4.6.1.1 Buyer Attributes
4.4.4.6.1.1.1 Farm Size, Number of Farms, and State of Digitalization
4.4.4.6.1.1.2 Crop Pattern, Biotic, and Abiotic Stress Factors
4.4.4.6.1.2 Business Challenges
4.4.4.6.1.3 Business Drivers
4.4.4.6.2 Application
4.4.4.6.2.1 Belgium Satellite Imaging for Agriculture Market (by Application)
4.4.4.6.2.2 Belgium Satellite Imaging for Agriculture Market (by End User)
4.4.4.6.3 Product
4.4.4.6.3.1 Belgium Satellite Imaging for Agriculture Market (by Product)
4.4.4.7 Spain
4.4.4.7.1 Markets
4.4.4.7.1.1 Buyer Attributes
4.4.4.7.1.1.1 Farm Size, Number of Farms, and State of Digitalization
4.4.4.7.1.1.2 Crop Pattern, Biotic, and Abiotic Stress Factors
4.4.4.7.1.2 Business Challenges
4.4.4.7.1.3 Business Drivers
4.4.4.7.2 Application
4.4.4.7.2.1 Spain Satellite Imaging for Agriculture Market (by Application)
4.4.4.7.2.2 Spain Satellite Imaging for Agriculture Market (by End User)
4.4.4.7.3 Product
4.4.4.7.3.1 Spain Satellite Imaging for Agriculture Market (by Product)
4.4.4.8 Rest-of-Europe
4.4.4.8.1 Markets
4.4.4.8.1.1 Buyer Attributes
4.4.4.8.1.1.1 Farm Size, Number of Farms, and State of Digitalization
4.4.4.8.1.1.2 Crop Pattern, Biotic, and Abiotic Stress Factors
4.4.4.8.1.2 Business Challenges
4.4.4.8.1.3 Business Drivers
4.4.4.8.2 Application
4.4.4.8.2.1 Rest-of-Europe Satellite Imaging for Agriculture Market (by Application)
4.4.4.8.2.2 Rest-of-Europe Satellite Imaging for Agriculture Market (by End User)
4.4.4.8.3 Product
4.4.4.8.3.1 Rest-of-Europe Satellite Imaging for Agriculture Market (by Product)
4.5 U.K.
4.5.1 Markets
4.5.1.1 Buyer Attributes
4.5.1.1.1 Farm Size, Number of Farms, and State of Digitalization
4.5.1.1.2 Crop Pattern, Biotic, and Abiotic Stress Factors
4.5.1.2 Business Challenges
4.5.1.3 Business Drivers
4.5.2 Applications
4.5.2.1 U.K. Satellite Imaging for Agriculture Market (by Application)
4.5.2.2 U.K. Satellite Imaging for Agriculture Market (by End User)
4.5.3 Products
4.5.3.1 U.K. Satellite Imaging for Agriculture Market, (by Product) (in terms of Volume and Value)
4.6 Middle East and Africa
4.6.1 Markets
4.6.1.1 Buyer Attributes
4.6.1.1.1 Farm Size, Number of Farms, and State of Digitalization
4.6.1.1.2 Crop Pattern, Biotic, and Abiotic Stress Factors
4.6.1.2 Business Challenges
4.6.1.3 Business Drivers
4.6.2 Applications
4.6.2.1 Middle East and Africa Satellite Imaging for Agriculture Market (by Application)
4.6.2.2 Middle East and Africa Satellite Imaging for Agriculture Market (by End User)
4.6.3 Products
4.6.3.1 Middle East and Africa Satellite Imaging for Agriculture Market (by Product)
4.6.4 Middle East and Africa (by Country)
4.6.4.1 South Africa
4.6.4.1.1 Markets
4.6.4.1.1.1 Buyer Attributes
4.6.4.1.1.1.1 Farm Size, Number of Farms, and State of Digitalization
4.6.4.1.1.1.2 Crop Pattern, Biotic, and Abiotic Stress Factors
4.6.4.1.1.2 Business Challenges
4.6.4.1.1.3 Business Drivers
4.6.4.1.2 Application
4.6.4.1.2.1 South Africa Satellite Imaging for Agriculture Market (by Application)
4.6.4.1.2.2 South Africa Satellite Imaging for Agriculture Market (by End User)
4.6.4.1.3 Product
4.6.4.1.3.1 South Africa Satellite Imaging for Agriculture Market (by Product)
4.6.4.2 Turkey
4.6.4.2.1 Markets
4.6.4.2.1.1 Buyer Attributes
4.6.4.2.1.1.1 Farm Size, Number of Farms, and State of Digitalization
4.6.4.2.1.1.2 Crop Pattern, Biotic, and Abiotic Stress Factors
4.6.4.2.1.2 Business Challenges
4.6.4.2.1.3 Business Drivers
4.6.4.2.2 Application
4.6.4.2.2.1 Turkey Satellite Imaging for Agriculture Market (by Application)
4.6.4.2.2.2 Turkey Satellite Imaging for Agriculture Market (by End User)
4.6.4.2.3 Product
4.6.4.2.3.1 Turkey Satellite Imaging for Agriculture Market (by Product)
4.6.4.3 Israel
4.6.4.3.1 Markets
4.6.4.3.1.1 Buyer Attributes
4.6.4.3.1.1.1 Farm Size, Number of Farms, and State of Digitalization
4.6.4.3.1.1.2 Crop Pattern, Biotic, and Abiotic Stress Factors
4.6.4.3.1.2 Business Challenges
4.6.4.3.1.3 Business Drivers
4.6.4.3.2 Application
4.6.4.3.2.1 Israel Satellite Imaging for Agriculture Market (by Application)
4.6.4.3.2.2 Israel Satellite Imaging for Agriculture Market (by End User)
4.6.4.3.3 Product
4.6.4.3.3.1 Israel Satellite Imaging for Agriculture Market (by Product)
4.6.4.4 Rest-of-Middle East and Africa
4.6.4.4.1 Markets
4.6.4.4.1.1 Buyer Attributes
4.6.4.4.1.1.1 Farm Size, Number of Farms, and State of Digitalization
4.6.4.4.1.1.2 Crop Pattern, Biotic, and Abiotic Stress Factors
4.6.4.4.1.2 Business Challenges
4.6.4.4.1.3 Business Drivers
4.6.4.4.2 Application
4.6.4.4.2.1 Rest-of-Middle East and Africa Satellite Imaging for Agriculture Market (by Application)
4.6.4.4.2.2 Rest-of-Middle East and Africa Satellite Imaging for Agriculture Market (by End User)
4.6.4.4.3 Product
4.6.4.4.3.1 Rest-of-Middle East and Africa Satellite Imaging for Agriculture Market (by Product)
4.7 China
4.7.1 Markets
4.7.1.1 Buyer Attributes
4.7.1.1.1 Farm Size, Number of Farms, and State of Digitalization
4.7.1.1.2 Crop Pattern, Biotic, and Abiotic Stress Factors
4.7.1.2 Business Challenges
4.7.1.3 Business Drivers
4.7.2 Applications
4.7.2.1 China Satellite Imaging for Agriculture Market (by Application)
4.7.2.2 China Satellite Imaging for Agriculture Market (by End User)
4.7.3 Products
4.7.3.1 China Satellite Imaging for Agriculture Market (by Product)
4.8 Asia-Pacific
4.8.1 Markets
4.8.1.1 Key Providers in Asia-Pacific
4.8.1.2 Buyer Attributes
4.8.1.2.1 Farm Size, Number of Farms, and State of Digitalization
4.8.1.2.2 Crop Pattern, Biotic, and Abiotic Stress Factors
4.8.1.3 Business Challenges
4.8.1.4 Business Drivers
4.8.2 Applications
4.8.2.1 Asia-Pacific Satellite Imaging for Agriculture Market (by Application)
4.8.2.2 Asia-Pacific Satellite Imaging for Agriculture Market (by End User)
4.8.3 Products
4.8.3.1 Asia-Pacific Satellite Imaging for Agriculture Market (by Product)
4.8.4 Asia-Pacific (by Country)
4.8.4.1 Japan
4.8.4.1.1 Markets
4.8.4.1.1.1 Buyer Attributes
4.8.4.1.1.1.1 Farm Size, Number of Farms, and State of Digitalization
4.8.4.1.1.1.2 Crop Pattern, Biotic, and Abiotic Stress Factors
4.8.4.1.1.2 Business Challenges
4.8.4.1.1.3 Business Drivers
4.8.4.1.2 Application
4.8.4.1.2.1 Japan Satellite Imaging for Agriculture Market (by Application)
4.8.4.1.2.2 Japan Satellite Imaging for Agriculture Market (by End User)
4.8.4.1.3 Product
4.8.4.1.3.1 Japan Satellite Imaging for Agriculture Market (by Product)
4.8.4.2 Australia and New Zealand
4.8.4.2.1 Markets
4.8.4.2.1.1 Buyer Attributes
4.8.4.2.1.1.1 Farm Size, Number of Farms, and State of Digitalization
4.8.4.2.1.1.2 Crop Pattern, Biotic, and Abiotic Stress Factors
4.8.4.2.1.2 Business Challenges
4.8.4.2.1.3 Business Drivers
4.8.4.2.2 Application
4.8.4.2.2.1 Australia and New Zealand Satellite Imaging for Agriculture Market (by Application)
4.8.4.2.2.2 Australia and New Zealand Satellite Imaging for Agriculture Market (by End User)
4.8.4.2.3 Product
4.8.4.2.3.1 Australia and New Zealand Satellite Imaging for Agriculture Market (by Product)
4.8.4.3 South Korea
4.8.4.3.1 Markets
4.8.4.3.1.1 Buyer Attributes
4.8.4.3.1.1.1 Farm Size, Number of Farms, and State of Digitalization
4.8.4.3.1.1.2 Crop Pattern, Biotic, and Abiotic Stress Factors
4.8.4.3.1.2 Business Challenges
4.8.4.3.1.3 Business Drivers
4.8.4.3.2 Application
4.8.4.3.2.1 South Korea Satellite Imaging for Agriculture Market (by Application)
4.8.4.3.2.2 South Korea Satellite Imaging for Agriculture Market (by End User)
4.8.4.3.3 Product
4.8.4.3.3.1 South Korea Satellite Imaging for Agriculture Market (by Product)
4.8.4.4 India
4.8.4.4.1 Markets
4.8.4.4.1.1 Buyer Attributes
4.8.4.4.1.1.1 Farm Size, Number of Farms, and State of Digitalization
4.8.4.4.1.1.2 Crop Pattern, Biotic, and Abiotic Stress Factors
4.8.4.4.1.2 Business Challenges
4.8.4.4.1.3 Business Drivers
4.8.4.4.2 Application
4.8.4.4.2.1 India Satellite Imaging for Agriculture Market (by Application)
4.8.4.4.2.2 India Satellite Imaging for Agriculture Market (by End User)
4.8.4.4.3 Product
4.8.4.4.3.1 India Satellite Imaging for Agriculture Market (by Product)
4.8.4.5 Rest-of-Asia-Pacific
4.8.4.5.1 Markets
4.8.4.5.1.1 Buyer Attributes
4.8.4.5.1.1.1 Farm Size, Number of Farms, and State of Digitalization
4.8.4.5.1.1.2 Crop Pattern, Biotic, and Abiotic Stress Factors
4.8.4.5.1.2 Business Challenges
4.8.4.5.1.3 Business Drivers
4.8.4.5.2 Application
4.8.4.5.2.1 Rest-of-Asia-Pacific Satellite Imaging for Agriculture Market (by Application)
4.8.4.5.2.2 Rest-of-Asia-Pacific Satellite Imaging for Agriculture Market (by End User)
4.8.4.5.3 Product
4.8.4.5.3.1 Rest-of-Asia-Pacific Satellite Imaging for Agriculture Market (by Product)
5 MARKETS - COMPETITIVE BENCHMARKING & COMPANY PROFILES
5.1 Competitive Benchmarking
5.2 Market Share Analysis
5.3 Company Profiles
5.3.1 Airbus
5.3.1.1 Company Overview
5.3.1.1.1 Role of Airbus in the Global Satellite Imaging for Agriculture Market
5.3.1.1.2 Product Portfolio
5.3.1.2 Business Strategies
5.3.1.2.1 Product Development
5.3.1.3 Corporate Strategies
5.3.1.3.1 Partnership, Joint Venture, Collaboration and Alliance
5.3.1.4 Customer Profile
5.3.1.4.1 Target Customer Segment
5.3.1.4.2 Key Clients
5.3.1.5 Analyst View
5.3.1.5.1 Regional Growth
5.3.2 Descartes Labs, Inc
5.3.2.1 Company Overview
5.3.2.1.1 Role of Descartes Labs, Inc in the Global Satellite Imaging for Agriculture Market
5.3.2.1.2 Product Portfolio
5.3.2.2 Business Strategies
5.3.2.2.1 Product Development
5.3.2.2.2 Market Development
5.3.2.3 Corporate Strategies
5.3.2.3.1 Merger and Acquisition
5.3.2.4 Customer Profile
5.3.2.4.1 Target Customer Segment
5.3.2.5 Analyst View
5.3.2.5.1 Regional Growth
5.3.3 EOS Data Analytics,Inc
5.3.3.1 Company Overview
5.3.3.1.1 Role of EOS Data Analytics,Inc in the Global Satellite Imaging for Agriculture Market
5.3.3.1.2 Product Portfolio
5.3.3.2 Corporate Strategies
5.3.3.2.1 Partnership, Joint Venture, Collaboration and Alliance
5.3.3.3 Customer Profile
5.3.3.3.1 Target Customer Segment
5.3.3.4 Analyst View
5.3.3.4.1 Regional Growth
5.3.4 Esri
5.3.4.1 Company Overview
5.3.4.1.1 Role of Esri in the Global Satellite Imaging for Agriculture Market
5.3.4.1.2 Product Portfolio
5.3.4.2 Corporate Strategies
5.3.4.2.1 Partnership, Joint Venture, Collaboration and Alliance
5.3.4.3 Customer Profile
5.3.4.3.1 Target Customer Segment
5.3.4.4 Analyst View
5.3.4.4.1 Regional Growth
5.3.5 European Space Imaging
5.3.5.1 Company Overview
5.3.5.1.1 Role of European Space Imaging in the Global Satellite Imaging for Agriculture Market
5.3.5.1.2 Product Portfolio
5.3.5.2 Corporate Strategies
5.3.5.2.1 Partnership, Joint Venture, Collaboration and Alliance
5.3.5.3 Customer Profile
5.3.5.3.1 Target Customer Segment
5.3.5.4 Analyst View
5.3.5.4.1 Regional Growth
5.3.6 Farmers Edge Inc
5.3.6.1 Company Overview
5.3.6.1.1 Role of Farmers Edge Inc in the Global Satellite Imaging for Agriculture Market
5.3.6.1.2 Product Portfolio
5.3.6.2 Corporate Strategies
5.3.6.2.1 Partnership, Joint Venture, Collaboration and Alliance
5.3.6.3 Customer Profile
5.3.6.3.1 Target Customer Segment
5.3.6.4 Analyst View
5.3.6.4.1 Regional Growth
5.3.7 Gamaya
5.3.7.1 Company Overview
5.3.7.1.1 Role of Gamaya in the Global Satellite Imaging for Agriculture Market
5.3.7.1.2 Product Portfolio
5.3.7.2 Business Strategies
5.3.7.2.1 Product Development
5.3.7.3 Customer Profile
5.3.7.3.1 Target Customer Segment
5.3.7.4 Analyst View
5.3.7.4.1 Regional Growth
5.3.8 ICEYE
5.3.8.1 Company Overview
5.3.8.1.1 Role of ICEYE in the Global Satellite Imaging for Agriculture Market
5.3.8.1.2 Product Portfolio
5.3.8.2 Business Strategies
5.3.8.2.1 Market Development
5.3.8.3 Customer Profile
5.3.8.3.1 Target Customer Segment
5.3.8.3.2 Key Clients
5.3.8.4 Analyst View
5.3.8.4.1 Regional Growth
5.3.9 NaraSpace Inc
5.3.9.1 Company Overview
5.3.9.1.1 Role of NaraSpace Inc in the Global Satellite Imaging for Agriculture Market
5.3.9.1.2 Product Portfolio
5.3.9.2 Corporate Strategies
5.3.9.2.1 Partnership, Joint Venture, Collaboration and Alliance
5.3.9.3 Customer Profile
5.3.9.3.1 Target Customer Segment
5.3.9.4 Analyst View
5.3.9.4.1 Regional Growth
5.3.10 Open Cosmos Ltd
5.3.10.1 Company Overview
5.3.10.1.1 Role of Open Cosmos Ltd in the Global Satellite Imaging for Agriculture Market
5.3.10.1.2 Product Portfolio
5.3.10.2 Business Strategies
5.3.10.2.1 Product Development
5.3.10.3 Corporate Strategies
5.3.10.3.1 Partnership, Joint Venture, Collaboration and Alliance
5.3.10.4 Customer Profile
5.3.10.4.1 Target Customer Segment
5.3.10.5 Analyst View
5.3.10.5.1 Regional Growth
5.3.11 Planet Labs PBC
5.3.11.1 Company Overview
5.3.11.1.1 Role of Planet Labs PBC in the Global Satellite Imaging for Agriculture Market
5.3.11.1.2 Product Portfolio
5.3.11.2 Business Strategies
5.3.11.2.1 Product Development
5.3.11.3 Corporate Strategies
5.3.11.3.1 Merger and Acquisition
5.3.11.3.2 Partnership, Joint Venture, Collaboration and Alliance
5.3.11.4 Customer Profile
5.3.11.4.1 Target Customer Segment
5.3.11.4.2 Key Clients
5.3.11.5 Analyst View
5.3.11.5.1 Regional Growth
5.3.12 Satellite Imaging Corporation
5.3.12.1 Company Overview
5.3.12.1.1 Role of Satellite Imaging Corporation in the Global Satellite Imaging for Agriculture Market
5.3.12.1.2 Product Portfolio
5.3.12.2 Customer Profile
5.3.12.2.1 Target Customer Segment
5.3.12.3 Analyst View
5.3.12.3.1 Regional Growth
5.3.13 Satellogic
5.3.13.1 Company Overview
5.3.13.1.1 Role of Satellogic in the Global Satellite Imaging for Agriculture Market
5.3.13.1.2 Product Portfolio
5.3.13.2 Business Strategies
5.3.13.2.1 Market Development
5.3.13.3 Corporate Strategies
5.3.13.3.1 Partnership, Joint Venture, Collaboration and Alliance
5.3.13.4 Customer Profile
5.3.13.4.1 Target Customer Segment
5.3.13.5 Analyst View
5.3.13.5.1 Regional Growth
5.3.14 SkyWatch
5.3.14.1 Company Overview
5.3.14.1.1 Role of SkyWatch in the Global Satellite Imaging for Agriculture Market
5.3.14.1.2 Product Portfolio
5.3.14.2 Business Strategies
5.3.14.2.1 Product Development
5.3.14.3 Corporate Strategies
5.3.14.3.1 Partnership, Joint Venture, Collaboration and Alliance
5.3.14.4 Customer Profile
5.3.14.4.1 Target Customer Segment
5.3.14.5 Analyst View
5.3.14.5.1 Regional Growth
5.3.15 SpaceKnow Inc.
5.3.15.1 Company Overview
5.3.15.1.1 Role of SpaceKnow Inc. in the Global Satellite Imaging for Agriculture Market
5.3.15.1.2 Product Portfolio
5.3.15.2 Customer Profile
5.3.15.2.1 Target Customer Segment
5.3.15.3 Analyst View
5.3.15.3.1 Regional Growth
5.3.16 Syngenta
5.3.16.1 Company Overview
5.3.16.2 Role of Syngenta in Global Satellite Imaging for Agriculture Market
5.3.16.3 Product Portfolio
5.3.16.4 Business Strategies
5.3.16.4.1 Market Developments
5.3.16.4.2 Product Developments
5.3.16.5 Customer Profile
5.3.16.5.1 Target Customers
5.3.16.6 Analyst View
5.4 Key Start-Ups in the Satellite Imaging for Agriculture Market
5.4.1 EarthDaily Analytics
5.4.1.1 Company Overview
5.4.1.1.1 Role of EarthDaily Analytics in the Global Satellite Imaging for Agriculture Market
5.4.1.1.2 Product Portfolio
5.4.1.2 Business Strategies
5.4.1.2.1 Market Development
5.4.1.3 Customer Profile
5.4.1.3.1 Target Customer Segment
5.4.1.3.2 Key Clients
5.4.1.4 Analyst View
5.4.1.4.1 Regional Growth
5.4.2 Maxar Technologies
5.4.2.1 Company Overview
5.4.2.1.1 Role of Maxar Technologies in the Global Satellite Imaging for Agriculture Market
5.4.2.1.2 Product Portfolio
5.4.2.2 Business Strategies
5.4.2.2.1 Product Development
5.4.2.3 Corporate Strategies
5.4.2.3.1 Merger and Acquisition
5.4.2.3.2 Partnership, Joint Venture, Collaboration and Alliance
5.4.2.4 Customer Profile
5.4.2.4.1 Target Customer Segment
5.4.2.5 Analyst View
5.4.2.5.1 Regional Growth
5.4.3 SatSure
5.4.3.1 Company Overview
5.4.3.1.1 Role of SatSure in the Global Satellite Imaging for Agriculture Market
5.4.3.1.2 Product Portfolio
5.4.3.2 Business Strategies
5.4.3.2.1 Product Development
5.4.3.3 Corporate Strategies
5.4.3.3.1 Merger and Acquisition
5.4.3.3.2 Partnership, Joint Venture, Collaboration and Alliance
5.4.3.4 Customer Profile
5.4.3.4.1 Target Customer Segment
5.4.3.5 Analyst View
5.4.3.5.1 Regional Growth
5.4.4 SpaceSense
5.4.4.1 Company Overview
5.4.4.1.1 Role of SpaceSense in the Global Satellite Imaging for Agriculture Market
5.4.4.1.2 Product Portfolio
5.4.4.2 Corporate Strategies
5.4.4.2.1 Partnership, Joint Venture, Collaboration and Alliance
5.4.4.3 Customer Profile
5.4.4.3.1 Target Customer Segment
5.4.4.3.2 Key Clients
5.4.4.4 Analyst View
5.4.4.4.1 Regional Growth
5.4.5 Synspective
5.4.5.1 Company Overview
5.4.5.1.1 Role of Synspective in the Global Satellite Imaging for Agriculture Market
5.4.5.1.2 Product Portfolio
5.4.5.2 Corporate Strategies
5.4.5.2.1 Partnership, Joint Venture, Collaboration and Alliance
5.4.5.3 Customer Profile
5.4.5.3.1 Target Customer Segment
5.4.5.3.2 Key Clients
5.4.5.4 Analyst View
5.4.5.4.1 Regional Growth
6 RESEARCH METHODOLOGY
6.1 Primary Data Sources
6.2 Secondary Data Sources
6.3 Market Estimation and Forecast
LIST OF FIGURES
Figure 1: Global Operational Stock of Active Agriculture Satellites for Digital Applications, 2000-2022
Figure 2: Global Satellite Imaging for Agriculture Market, $Million, 2022-2028
Figure 3: Market Dynamics of the Global Satellite Imaging for Agriculture Market
Figure 4: Global Satellite Imaging for Agriculture Market (by Application), $Million, 2022-2028
Figure 5: Global Satellite Imaging for Agriculture Market (by End User), $Million, 2022-2028
Figure 6: Global Satellite Imaging for Agriculture Market (by Product), $Million, 2022-2028
Figure 7: Global Satellite Imaging for Agriculture Market (by Region), $Million, 2022
Figure 8: Global Satellite Imaging for Agriculture Market Coverage
Figure 9: Features of the EOS SAT-1 Satellite
Figure 10: European Union (EU) Farm and Farmland by Land Size Class, 2018
Figure 11: Share of Key Market Strategies and Developments, January 2019-April 2023
Figure 12: Share of Product Developments and Innovations (by Company), January 2019-April 2023
Figure 13: Share of Market Developments (by Company), January 2019-April 2023
Figure 14: Share of Mergers and Acquisitions (by Company), January 2019-April 2023
Figure 15: Share of Partnerships, Collaborations, and Joint Ventures (by Company), January 2019-April 2023
Figure 16: Total Investment and Number of Funding Deals in the Global Satellite Imaging for Agriculture Market, 2017-2022
Figure 17: Country-Wise Funding Share in the Global Satellite Imaging for Agriculture Market, 2017-2022
Figure 18: Top Investors in the Global Satellite Imaging for Agriculture Market, 2017-2022
Figure 19: Technology Adoption Curve
Figure 20: Patents Filed or Granted for Global Satellite Imaging for Agriculture Market, January 2017-April 2023
Figure 21: Patent Analysis (by Application), January 2017-April 2023
Figure 22: Patent Analysis (by Organization), January 2017-April 2023
Figure 23: Patent Analysis (by Patent Office), January 2017-April 2023
Figure 24: Farm Size, Number of Farms, and State of Digitalization in North America
Figure 25: Crop Pattern, Biotic, and Abiotic Stress Factors
Figure 26: Farm Size, Number of Farms, and State of Digitalization in the U.S.
Figure 27: Crop Pattern, Biotic, and Abiotic Stress Factors
Figure 28: Farm Size, Number of Farms, and State of Digitalization in Canada
Figure 29: Crop Pattern, Biotic, and Abiotic Stress Factors
Figure 30: Farm Size, Number of Farms, and State of Digitalization in Mexico
Figure 31: Crop Pattern, Biotic, and Abiotic Stress Factors
Figure 32: Farm Size, Number of Farms, and State of Digitalization in South America
Figure 33: Crop Pattern, Biotic, and Abiotic Stress Factors
Figure 34: Farm Size, Number of Farms, and State of Digitalization in Brazil
Figure 35: Crop Pattern, Biotic, and Abiotic Stress Factors
Figure 36: Farm Size, Number of Farms, and State of Digitalization in Argentina
Figure 37: Crop Pattern, Biotic, and Abiotic Stress Factors
Figure 38: Farm Size, Number of Farms, and State of Digitalization in Rest-of-South America
Figure 39: Crop Pattern, Biotic, and Abiotic Stress Factors
Figure 40: Farm Size, Number of Farms, and State of Digitalization in Europe
Figure 41: Crop Pattern, Biotic, and Abiotic Stress Factors
Figure 42: Farm Size, Number of Farms, and State of Digitalization in Italy
Figure 43: Crop Pattern, Biotic, and Abiotic Stress Factors
Figure 44: Farm Size, Number of Farms, and State of Digitalization in France
Figure 45: Crop Pattern, Biotic, and Abiotic Stress Factors
Figure 46: Farm Size, Number of Farms, and State of Digitalization in the Netherlands
Figure 47: Crop Pattern, Biotic, and Abiotic Stress Factors
Figure 48: Farm Size, Number of Farms, and State of Digitalization in Germany
Figure 49: Crop Pattern, Biotic, and Abiotic Stress Factors
Figure 50: Farm Size, Number of Farms, and State of Digitalization in Switzerland
Figure 51: Crop Pattern, Biotic, and Abiotic Stress Factors
Figure 52: Farm Size, Number of Farms, and State of Digitalization in Belgium
Figure 53: Crop Pattern, Biotic, and Abiotic Stress Factors
Figure 54: Farm Size, Number of Farms, and State of Digitalization in Spain
Figure 55: Crop Pattern, Biotic, and Abiotic Stress Factors
Figure 56: Farm Size, Number of Farms, and State of Digitalization in Rest-of-Europe
Figure 57: Crop Pattern, Biotic, and Abiotic Stress Factors
Figure 58: Farm Size, Number of Farms, and State of Digitalization in the U.K.
Figure 59: Crop Pattern, Biotic, and Abiotic Stress Factors
Figure 60: Farm Size, Number of Farms, and State of Digitalization in Middle East and Africa
Figure 61: Crop Pattern, Biotic, and Abiotic Stress Factors
Figure 62: Farm Size, Number of Farms, and State of Digitalization in South Africa
Figure 63: Crop Pattern, Biotic, and Abiotic Stress Factors
Figure 64: Farm Size, Number of Farms, and State of Digitalization in Turkey
Figure 65: Crop Pattern, Biotic, and Abiotic Stress Factors
Figure 66: Farm Size, Number of Farms, and State of Digitalization in Israel
Figure 67: Crop Pattern, Biotic, and Abiotic Stress Factors
Figure 68: Farm Size, Number of Farms, and State of Digitalization in Rest-of-Middle East and Africa
Figure 69: Crop Pattern, Biotic, and Abiotic Stress Factors
Figure 70: Funding Raised by Agritech Start-ups in Africa, 2015-2020
Figure 71: Farm Size, Number of Farms, and State of Digitalization in China
Figure 72: Crop Pattern, Biotic, and Abiotic Stress Factors
Figure 73: Farm Size, Number of Farms, and State of Digitalization in Asia-Pacific
Figure 74: Crop Pattern, Biotic, and Abiotic Stress Factors
Figure 75: Farm Size, Number of Farms, and State of Digitalization in Japan
Figure 76: Crop Pattern, Biotic, and Abiotic Stress Factors
Figure 77: Farm Size, Number of Farms, and State of Digitalization in Australia and New Zealand
Figure 78: Crop Pattern, Biotic, and Abiotic Stress Factors
Figure 79: Farm Size, Number of Farms, and State of Digitalization in South Korea
Figure 80: Crop Pattern, Biotic, and Abiotic Stress Factors
Figure 81: Farm Size, Number of Farms, and State of Digitalization in India
Figure 82: Crop Pattern, Biotic, and Abiotic Stress Factors
Figure 83: Farm Size, Number of Farms, and State of Digitalization in Rest-of-Asia-Pacific
Figure 84: Crop Pattern, Biotic, and Abiotic Stress Factors
Figure 85: Competitive Benchmarking Matrix for Key Satellite Imaging for Agriculture Providers
Figure 86: Market Share Analysis of Global Satellite Imaging for Agriculture Market, 2021
Figure 87: Global Satellite Imaging for Agriculture Market: Research Methodology
Figure 88: Data Triangulation
Figure 89: Top-Down and Bottom-Up Approach
Figure 90: Assumptions and Limitations
Figure 1: Global Operational Stock of Active Agriculture Satellites for Digital Applications, 2000-2022
Figure 2: Global Satellite Imaging for Agriculture Market, $Million, 2022-2028
Figure 3: Market Dynamics of the Global Satellite Imaging for Agriculture Market
Figure 4: Global Satellite Imaging for Agriculture Market (by Application), $Million, 2022-2028
Figure 5: Global Satellite Imaging for Agriculture Market (by End User), $Million, 2022-2028
Figure 6: Global Satellite Imaging for Agriculture Market (by Product), $Million, 2022-2028
Figure 7: Global Satellite Imaging for Agriculture Market (by Region), $Million, 2022
Figure 8: Global Satellite Imaging for Agriculture Market Coverage
Figure 9: Features of the EOS SAT-1 Satellite
Figure 10: European Union (EU) Farm and Farmland by Land Size Class, 2018
Figure 11: Share of Key Market Strategies and Developments, January 2019-April 2023
Figure 12: Share of Product Developments and Innovations (by Company), January 2019-April 2023
Figure 13: Share of Market Developments (by Company), January 2019-April 2023
Figure 14: Share of Mergers and Acquisitions (by Company), January 2019-April 2023
Figure 15: Share of Partnerships, Collaborations, and Joint Ventures (by Company), January 2019-April 2023
Figure 16: Total Investment and Number of Funding Deals in the Global Satellite Imaging for Agriculture Market, 2017-2022
Figure 17: Country-Wise Funding Share in the Global Satellite Imaging for Agriculture Market, 2017-2022
Figure 18: Top Investors in the Global Satellite Imaging for Agriculture Market, 2017-2022
Figure 19: Technology Adoption Curve
Figure 20: Patents Filed or Granted for Global Satellite Imaging for Agriculture Market, January 2017-April 2023
Figure 21: Patent Analysis (by Application), January 2017-April 2023
Figure 22: Patent Analysis (by Organization), January 2017-April 2023
Figure 23: Patent Analysis (by Patent Office), January 2017-April 2023
Figure 24: Farm Size, Number of Farms, and State of Digitalization in North America
Figure 25: Crop Pattern, Biotic, and Abiotic Stress Factors
Figure 26: Farm Size, Number of Farms, and State of Digitalization in the U.S.
Figure 27: Crop Pattern, Biotic, and Abiotic Stress Factors
Figure 28: Farm Size, Number of Farms, and State of Digitalization in Canada
Figure 29: Crop Pattern, Biotic, and Abiotic Stress Factors
Figure 30: Farm Size, Number of Farms, and State of Digitalization in Mexico
Figure 31: Crop Pattern, Biotic, and Abiotic Stress Factors
Figure 32: Farm Size, Number of Farms, and State of Digitalization in South America
Figure 33: Crop Pattern, Biotic, and Abiotic Stress Factors
Figure 34: Farm Size, Number of Farms, and State of Digitalization in Brazil
Figure 35: Crop Pattern, Biotic, and Abiotic Stress Factors
Figure 36: Farm Size, Number of Farms, and State of Digitalization in Argentina
Figure 37: Crop Pattern, Biotic, and Abiotic Stress Factors
Figure 38: Farm Size, Number of Farms, and State of Digitalization in Rest-of-South America
Figure 39: Crop Pattern, Biotic, and Abiotic Stress Factors
Figure 40: Farm Size, Number of Farms, and State of Digitalization in Europe
Figure 41: Crop Pattern, Biotic, and Abiotic Stress Factors
Figure 42: Farm Size, Number of Farms, and State of Digitalization in Italy
Figure 43: Crop Pattern, Biotic, and Abiotic Stress Factors
Figure 44: Farm Size, Number of Farms, and State of Digitalization in France
Figure 45: Crop Pattern, Biotic, and Abiotic Stress Factors
Figure 46: Farm Size, Number of Farms, and State of Digitalization in the Netherlands
Figure 47: Crop Pattern, Biotic, and Abiotic Stress Factors
Figure 48: Farm Size, Number of Farms, and State of Digitalization in Germany
Figure 49: Crop Pattern, Biotic, and Abiotic Stress Factors
Figure 50: Farm Size, Number of Farms, and State of Digitalization in Switzerland
Figure 51: Crop Pattern, Biotic, and Abiotic Stress Factors
Figure 52: Farm Size, Number of Farms, and State of Digitalization in Belgium
Figure 53: Crop Pattern, Biotic, and Abiotic Stress Factors
Figure 54: Farm Size, Number of Farms, and State of Digitalization in Spain
Figure 55: Crop Pattern, Biotic, and Abiotic Stress Factors
Figure 56: Farm Size, Number of Farms, and State of Digitalization in Rest-of-Europe
Figure 57: Crop Pattern, Biotic, and Abiotic Stress Factors
Figure 58: Farm Size, Number of Farms, and State of Digitalization in the U.K.
Figure 59: Crop Pattern, Biotic, and Abiotic Stress Factors
Figure 60: Farm Size, Number of Farms, and State of Digitalization in Middle East and Africa
Figure 61: Crop Pattern, Biotic, and Abiotic Stress Factors
Figure 62: Farm Size, Number of Farms, and State of Digitalization in South Africa
Figure 63: Crop Pattern, Biotic, and Abiotic Stress Factors
Figure 64: Farm Size, Number of Farms, and State of Digitalization in Turkey
Figure 65: Crop Pattern, Biotic, and Abiotic Stress Factors
Figure 66: Farm Size, Number of Farms, and State of Digitalization in Israel
Figure 67: Crop Pattern, Biotic, and Abiotic Stress Factors
Figure 68: Farm Size, Number of Farms, and State of Digitalization in Rest-of-Middle East and Africa
Figure 69: Crop Pattern, Biotic, and Abiotic Stress Factors
Figure 70: Funding Raised by Agritech Start-ups in Africa, 2015-2020
Figure 71: Farm Size, Number of Farms, and State of Digitalization in China
Figure 72: Crop Pattern, Biotic, and Abiotic Stress Factors
Figure 73: Farm Size, Number of Farms, and State of Digitalization in Asia-Pacific
Figure 74: Crop Pattern, Biotic, and Abiotic Stress Factors
Figure 75: Farm Size, Number of Farms, and State of Digitalization in Japan
Figure 76: Crop Pattern, Biotic, and Abiotic Stress Factors
Figure 77: Farm Size, Number of Farms, and State of Digitalization in Australia and New Zealand
Figure 78: Crop Pattern, Biotic, and Abiotic Stress Factors
Figure 79: Farm Size, Number of Farms, and State of Digitalization in South Korea
Figure 80: Crop Pattern, Biotic, and Abiotic Stress Factors
Figure 81: Farm Size, Number of Farms, and State of Digitalization in India
Figure 82: Crop Pattern, Biotic, and Abiotic Stress Factors
Figure 83: Farm Size, Number of Farms, and State of Digitalization in Rest-of-Asia-Pacific
Figure 84: Crop Pattern, Biotic, and Abiotic Stress Factors
Figure 85: Competitive Benchmarking Matrix for Key Satellite Imaging for Agriculture Providers
Figure 86: Market Share Analysis of Global Satellite Imaging for Agriculture Market, 2021
Figure 87: Global Satellite Imaging for Agriculture Market: Research Methodology
Figure 88: Data Triangulation
Figure 89: Top-Down and Bottom-Up Approach
Figure 90: Assumptions and Limitations
LIST OF TABLES
Table 1: Key Consortiums, Associations, and Regulatory Bodies in the Global Satellite Imaging for Agriculture Market
Table 2: Government Initiatives
Table 3: Benefits of Satellite Imaging vs. Drone
Table 4: Free Satellite Imagery Sources
Table 5: Key Startups in the Global Satellite Imaging for Agriculture Market, 2019-2023
Table 6: Top Funding by the Start-ups in the Global Satellite Imaging for Agriculture Market, 2022
Table 7: Active Agriculture Satellites Technical Information
Table 8: Key Companies Providing Satellite Imaging for Crop Monitoring
Table 9: Soil Mapping Company Examples
Table 10: Key Companies Providing Satellite Imaging Solutions for Forestry
Table 11: Key Companies Providing Harvest Dynamic Monitoring, Weather Monitoring, and Carbon tracking
Table 12: Global Satellite Imaging for Agriculture Market (by Application), $Million, 2022-2028
Table 13: Global Satellite Imaging for Agriculture Market (by End User), $Million, 2022-2028
Table 14: Global Satellite Imaging for Agriculture Market (by Product), $Million, 2022-2028
Table 15: Sat2Farm Integrated Delivery Platform Solutions
Table 16: Global Satellite Imaging for Agriculture Market (by Region), $Million, 2022-2028
Table 17: North America Satellite Imaging for Agriculture Market (by Application), $Million, 2022-2028
Table 18: North America Satellite Imaging for Agriculture Market (by End User), $Million, 2022-2028
Table 19: North America Satellite Imaging for Agriculture Market (by Product), $Million, 2022-2028
Table 20: North America Satellite Imaging for Agriculture (by Country), $Million, 2022-2028
Table 21: U.S. Satellite Imaging for Agriculture Market (by Application), $Million, 2022-2028
Table 22: U.S. Satellite Imaging for Agriculture Market (by End User), $Million, 2022-2028
Table 23: U.S. Satellite Imaging for Agriculture Market (by Product), $Million, 2022-2028
Table 24: Canada Satellite Imaging for Agriculture Market (by Application), $Million, 2022-2028
Table 25: Canada Satellite Imaging for Agriculture Market (by End User), $Million, 2022-2028
Table 26: Canada Satellite Imaging for Agriculture Market (by Product), $Million, 2022-2028
Table 27: Mexico Satellite Imaging for Agriculture Market (by Application), $Million, 2022-2028
Table 28: Mexico Satellite Imaging for Agriculture Market (by End User), $Million, 2022-2028
Table 29: Mexico Satellite Imaging for Agriculture Market (by Product), $Million, 2022-2028
Table 30: South America Satellite Imaging for Agriculture Market (by Application), $Million, 2022-2028
Table 31: South America Satellite Imaging for Agriculture Market (by End User), $Million, 2022-2028
Table 32: South America Satellite Imaging for Agriculture Market (by Product), $Million, 2022-2028
Table 33: South America Satellite Imaging for Agriculture (by Country), $Million, 2022-2028
Table 34: Brazil Satellite Imaging for Agriculture Market (by Application), $Million, 2022-2028
Table 35: Brazil Satellite Imaging for Agriculture Market (by End User), $Million, 2022-2028
Table 36: Brazil Satellite Imaging for Agriculture Market (by Product), $Million, 2022-2028
Table 37: Argentina Satellite Imaging for Agriculture Market (by Application), $Million, 2022-2028
Table 38: Argentina Satellite Imaging for Agriculture Market (by End User), $Million, 2022-2028
Table 39: Argentina Satellite Imaging for Agriculture Market (by Product), $Million, 2022-2028
Table 40: Rest-of-South America Satellite Imaging for Agriculture Market (by Application), $Million, 2022-2028
Table 41: Rest-of-South America Satellite Imaging for Agriculture Market (by End User), $Million, 2022-2028
Table 42: Rest-of-South America Satellite Imaging for Agriculture Market (by Product), $Million, 2022-2028
Table 43: Europe Satellite Imaging for Agriculture Market (by Application), $Million, 2022-2028
Table 44: Europe Satellite Imaging for Agriculture Market (by End User), $Million, 2022-2028
Table 45: Europe Satellite Imaging for Agriculture Market (by Product), $Million, 2022-2028
Table 46: Europe Satellite Imaging for Agriculture (by Country), $Million, 2022-2028
Table 47: Italy Satellite Imaging for Agriculture Market (by Application), $Million, 2022-2028
Table 48: Italy Satellite Imaging for Agriculture Market (by End User), $Million, 2022-2028
Table 49: Italy Satellite Imaging for Agriculture Market (by Product), $Million, 2022-2028
Table 50: France Satellite Imaging for Agriculture Market (by Application), $Million, 2022-2028
Table 51: France Satellite Imaging for Agriculture Market (by End User), $Million, 2022-2028
Table 52: France Satellite Imaging for Agriculture Market (by Product), $Million, 2022-2028
Table 53: Netherlands Satellite Imaging for Agriculture Market (by Application), $Million, 2022-2028
Table 54: Netherlands Satellite Imaging for Agriculture Market (by End User), $Million, 2022-2028
Table 55: Netherlands Satellite Imaging for Agriculture Market (by Product), $Million, 2022-2028
Table 56: Germany Satellite Imaging for Agriculture Market (by Application), $Million, 2022-2028
Table 57: Germany Satellite Imaging for Agriculture Market (by End User), $Million, 2022-2028
Table 58: Germany Satellite Imaging for Agriculture Market (by Product), $Million, 2022-2028
Table 59: Switzerland Satellite Imaging for Agriculture Market (by Application), $Million, 2022-2028
Table 60: Switzerland Satellite Imaging for Agriculture Market (by End User), $Million, 2022-2028
Table 61: Switzerland Satellite Imaging for Agriculture Market (by Product), $Million, 2022-2028
Table 62: Belgium Satellite Imaging for Agriculture Market (by Application), $Thousand, 2022-2028
Table 63: Belgium Satellite Imaging for Agriculture Market (by End User), $Thousand, 2022-2028
Table 64: Belgium Satellite Imaging for Agriculture Market (by Product), $Thousand, 2022-2028
Table 65: Spain Satellite Imaging for Agriculture Market (by Application), $Million, 2022-2028
Table 66: Spain Satellite Imaging for Agriculture Market (by End User), $Million, 2022-2028
Table 67: Spain Satellite Imaging for Agriculture Market (by Product), $Million, 2022-2028
Table 68: Rest-of-Europe Satellite Imaging for Agriculture Market (by Application), $Million, 2022-2028
Table 69: Rest-of-Europe Satellite Imaging for Agriculture Market (by End User), $Million, 2022-2028
Table 70: Rest-of-Europe Satellite Imaging for Agriculture Market (by Product), $Million, 2022-2028
Table 71: U.K. Satellite Imaging for Agriculture Market (by Application), $Million, 2022-2028
Table 72: U.K. Satellite Imaging for Agriculture Market (by End User), $Million, 2022-2028
Table 73: U.K. Satellite Imaging for Agriculture Market (by Product), $Million, 2022-2028
Table 74: Middle East and Africa Satellite Imaging for Agriculture Market (by Application), $Million, 2022-2028
Table 75: Middle East and Africa Satellite Imaging for Agriculture Market (by End User), $Million, 2022-2028
Table 76: Middle East and Africa Satellite Imaging for Agriculture Market (by Product), $Million, 2022-2028
Table 77: Middle East and Africa Satellite Imaging for Agriculture (by Country), $Million, 2022-2028
Table 78: South Africa Satellite Imaging for Agriculture Market (by Application), $Million, 2022-2028
Table 79: South Africa Satellite Imaging for Agriculture Market (by End User), $Million, 2022-2028
Table 80: South Africa Satellite Imaging for Agriculture Market (by Product), $Million, 2022-2028
Table 81: Turkey Satellite Imaging for Agriculture Market (by Application), $Million, 2022-2028
Table 82: Turkey Satellite Imaging for Agriculture Market (by End User), $Million, 2022-2028
Table 83: Turkey Satellite Imaging for Agriculture Market (by Product), $Million, 2022-2028
Table 84: Israel Satellite Imaging for Agriculture Market (by Application), $Thousand, 2022-2028
Table 85: Israel Satellite Imaging for Agriculture Market (by End User), $Thousand, 2022-2028
Table 86: Israel Satellite Imaging for Agriculture Market (by Product), $Thousand, 2022-2028
Table 87: Rest-of-Middle East and Africa Satellite Imaging for Agriculture Market (by Application), $Million, 2022-2028
Table 88: Rest-of-Middle East and Africa Satellite Imaging for Agriculture Market (by End User), $Million, 2022-2028
Table 89: Rest-of-Middle East and Africa Satellite Imaging for Agriculture Market (by Product), $Million, 2022-2028
Table 90: China Satellite Imaging for Agriculture Market (by Application), $Million, 2022-2028
Table 91: China Satellite Imaging for Agriculture Market (by End User), $Million, 2022-2028
Table 92: China Satellite Imaging for Agriculture Market (by Product), $Million, 2022-2028
Table 93: Asia-Pacific Satellite Imaging for Agriculture Market (by Application), $Million, 2022-2028
Table 94: Asia-Pacific Satellite Imaging for Agriculture Market (by End User), $Million, 2022-2028
Table 95: Asia-Pacific Satellite Imaging for Agriculture Market (by Product), $Million, 2022-2028
Table 96: Asia-Pacific Satellite Imaging for Agriculture (by Country), $Million, 2022-2028
Table 97: Japan Satellite Imaging for Agriculture Market (by Application), $Million, 2022-2028
Table 98: Japan Satellite Imaging for Agriculture Market (by End User), $Million, 2022-2028
Table 99: Japan Satellite Imaging for Agriculture Market (by Product), $Million, 2022-2028
Table 100: Australia and New Zealand Satellite Imaging for Agriculture Market (by Application), $Million, 2022-2028
Table 101: Australia and New Zealand Satellite Imaging for Agriculture Market (by End User), $Million, 2022-2028
Table 102: Australia and New Zealand Satellite Imaging for Agriculture Market (by Product), $Million, 2022-2028
Table 103: South Korea Satellite Imaging for Agriculture Market (by Application), $Million, 2022-2028
Table 104: South Korea Satellite Imaging for Agriculture Market (by End User), $Thousand, 2022-2028
Table 105: South Korea Satellite Imaging for Agriculture Market (by Product), $Million, 2022-2028
Table 106: India Satellite Imaging for Agriculture Market (by Application), $Million, 2022-2028
Table 107: India Satellite Imaging for Agriculture Market (by End User), $Million, 2022-2028
Table 108: India Satellite Imaging for Agriculture Market (by Product), $Million, 2022-2028
Table 109: Rest-of-Asia-Pacific Satellite Imaging for Agriculture Market (by Application), $Million, 2022-2028
Table 110: Rest-of-Asia-Pacific Satellite Imaging for Agriculture Market (by End User), $Million, 2022-2028
Table 111: Rest-of-Asia-Pacific Satellite Imaging for Agriculture Market (by Product), $Million, 2022-2028
Table 112: Airbus: Product Portfolio
Table 113: Airbus: Product Development
Table 114: Airbus: Partnership, Joint Venture, Collaboration, and Alliance
Table 115: Descartes Labs, Inc: Product Portfolio
Table 116: Descartes Labs, Inc: Product Development
Table 117: Descartes Labs, Inc: Market Development
Table 118: Descartes Labs, Inc: Merger and Acquisition
Table 119: EOS Data Analytics,Inc: Product Portfolio
Table 120: EOS Data Analytics,Inc: Partnership, Joint Venture, Collaboration, and Alliance
Table 121: Esri: Product Portfolio
Table 122: Esri: Partnership, Joint Venture, Collaboration, and Alliance
Table 123: European Space Imaging: Product Portfolio
Table 124: European Space Imaging: Partnership, Joint Venture, Collaboration, and Alliance
Table 125: Farmers Edge Inc: Product Portfolio
Table 126: Farmers Edge Inc: Partnership, Joint Venture, Collaboration, and Alliance
Table 127: Gamaya: Product Portfolio
Table 128: Gamaya: Product Development
Table 129: ICEYE: Product Portfolio
Table 130: ICEYE: Market Development
Table 131: NaraSpace Inc: Product Portfolio
Table 132: NaraSpace Inc: Partnership, Joint Venture, Collaboration, and Alliance
Table 133: Open Cosmos Ltd: Product Portfolio
Table 134: Open Cosmos Ltd: Product Development
Table 135: Open Cosmos Ltd: Partnership, Joint Venture, Collaboration, and Alliance
Table 136: Planet Labs PBC: Product Portfolio
Table 137: Planet Labs PBC: Product Development
Table 138: Planet Labs PBC: Merger and Acquisition
Table 139: Planet Labs PBC: Partnership, Joint Venture, Collaboration, and Alliance
Table 140: Satellite Imaging Corporation: Product Portfolio
Table 141: Satellogic: Product Portfolio
Table 142: Satellogic: Market Development
Table 143: Satellogic: Partnership, Joint Venture, Collaboration, and Alliance
Table 144: SkyWatch: Product Portfolio
Table 145: SkyWatch: Product Development
Table 146: SkyWatch: Partnership, Joint Venture, Collaboration, and Alliance
Table 147: SpaceKnow Inc.: Product Portfolio
Table 148: Syngenta: Pricing and Product Portfolio
Table 149: Syngenta: Market Developments
Table 150: Syngenta: Product Developments
Table 151: EarthDaily Analytics: Product Portfolio
Table 152: EarthDaily Analytics: Market Development
Table 153: Maxar Technologies: Product Portfolio
Table 154: Maxar Technologies: Product Development
Table 155: Maxar Technologies: Merger and Acquisition
Table 156: Maxar Technologies: Partnership, Joint Venture, Collaboration, and Alliance
Table 157: SatSure: Product Portfolio
Table 158: SatSure: Product Development
Table 159: SatSure: Merger and Acquisition
Table 160: SatSure: Partnership, Joint Venture, Collaboration, and Alliance
Table 161: SpaceSense: Product Portfolio
Table 162: SpaceSense: Partnership, Joint Venture, Collaboration, and Alliance
Table 163: Synspective: Product Portfolio
Table 164: Synspective: Partnership, Joint Venture, Collaboration, and Alliance
Table 1: Key Consortiums, Associations, and Regulatory Bodies in the Global Satellite Imaging for Agriculture Market
Table 2: Government Initiatives
Table 3: Benefits of Satellite Imaging vs. Drone
Table 4: Free Satellite Imagery Sources
Table 5: Key Startups in the Global Satellite Imaging for Agriculture Market, 2019-2023
Table 6: Top Funding by the Start-ups in the Global Satellite Imaging for Agriculture Market, 2022
Table 7: Active Agriculture Satellites Technical Information
Table 8: Key Companies Providing Satellite Imaging for Crop Monitoring
Table 9: Soil Mapping Company Examples
Table 10: Key Companies Providing Satellite Imaging Solutions for Forestry
Table 11: Key Companies Providing Harvest Dynamic Monitoring, Weather Monitoring, and Carbon tracking
Table 12: Global Satellite Imaging for Agriculture Market (by Application), $Million, 2022-2028
Table 13: Global Satellite Imaging for Agriculture Market (by End User), $Million, 2022-2028
Table 14: Global Satellite Imaging for Agriculture Market (by Product), $Million, 2022-2028
Table 15: Sat2Farm Integrated Delivery Platform Solutions
Table 16: Global Satellite Imaging for Agriculture Market (by Region), $Million, 2022-2028
Table 17: North America Satellite Imaging for Agriculture Market (by Application), $Million, 2022-2028
Table 18: North America Satellite Imaging for Agriculture Market (by End User), $Million, 2022-2028
Table 19: North America Satellite Imaging for Agriculture Market (by Product), $Million, 2022-2028
Table 20: North America Satellite Imaging for Agriculture (by Country), $Million, 2022-2028
Table 21: U.S. Satellite Imaging for Agriculture Market (by Application), $Million, 2022-2028
Table 22: U.S. Satellite Imaging for Agriculture Market (by End User), $Million, 2022-2028
Table 23: U.S. Satellite Imaging for Agriculture Market (by Product), $Million, 2022-2028
Table 24: Canada Satellite Imaging for Agriculture Market (by Application), $Million, 2022-2028
Table 25: Canada Satellite Imaging for Agriculture Market (by End User), $Million, 2022-2028
Table 26: Canada Satellite Imaging for Agriculture Market (by Product), $Million, 2022-2028
Table 27: Mexico Satellite Imaging for Agriculture Market (by Application), $Million, 2022-2028
Table 28: Mexico Satellite Imaging for Agriculture Market (by End User), $Million, 2022-2028
Table 29: Mexico Satellite Imaging for Agriculture Market (by Product), $Million, 2022-2028
Table 30: South America Satellite Imaging for Agriculture Market (by Application), $Million, 2022-2028
Table 31: South America Satellite Imaging for Agriculture Market (by End User), $Million, 2022-2028
Table 32: South America Satellite Imaging for Agriculture Market (by Product), $Million, 2022-2028
Table 33: South America Satellite Imaging for Agriculture (by Country), $Million, 2022-2028
Table 34: Brazil Satellite Imaging for Agriculture Market (by Application), $Million, 2022-2028
Table 35: Brazil Satellite Imaging for Agriculture Market (by End User), $Million, 2022-2028
Table 36: Brazil Satellite Imaging for Agriculture Market (by Product), $Million, 2022-2028
Table 37: Argentina Satellite Imaging for Agriculture Market (by Application), $Million, 2022-2028
Table 38: Argentina Satellite Imaging for Agriculture Market (by End User), $Million, 2022-2028
Table 39: Argentina Satellite Imaging for Agriculture Market (by Product), $Million, 2022-2028
Table 40: Rest-of-South America Satellite Imaging for Agriculture Market (by Application), $Million, 2022-2028
Table 41: Rest-of-South America Satellite Imaging for Agriculture Market (by End User), $Million, 2022-2028
Table 42: Rest-of-South America Satellite Imaging for Agriculture Market (by Product), $Million, 2022-2028
Table 43: Europe Satellite Imaging for Agriculture Market (by Application), $Million, 2022-2028
Table 44: Europe Satellite Imaging for Agriculture Market (by End User), $Million, 2022-2028
Table 45: Europe Satellite Imaging for Agriculture Market (by Product), $Million, 2022-2028
Table 46: Europe Satellite Imaging for Agriculture (by Country), $Million, 2022-2028
Table 47: Italy Satellite Imaging for Agriculture Market (by Application), $Million, 2022-2028
Table 48: Italy Satellite Imaging for Agriculture Market (by End User), $Million, 2022-2028
Table 49: Italy Satellite Imaging for Agriculture Market (by Product), $Million, 2022-2028
Table 50: France Satellite Imaging for Agriculture Market (by Application), $Million, 2022-2028
Table 51: France Satellite Imaging for Agriculture Market (by End User), $Million, 2022-2028
Table 52: France Satellite Imaging for Agriculture Market (by Product), $Million, 2022-2028
Table 53: Netherlands Satellite Imaging for Agriculture Market (by Application), $Million, 2022-2028
Table 54: Netherlands Satellite Imaging for Agriculture Market (by End User), $Million, 2022-2028
Table 55: Netherlands Satellite Imaging for Agriculture Market (by Product), $Million, 2022-2028
Table 56: Germany Satellite Imaging for Agriculture Market (by Application), $Million, 2022-2028
Table 57: Germany Satellite Imaging for Agriculture Market (by End User), $Million, 2022-2028
Table 58: Germany Satellite Imaging for Agriculture Market (by Product), $Million, 2022-2028
Table 59: Switzerland Satellite Imaging for Agriculture Market (by Application), $Million, 2022-2028
Table 60: Switzerland Satellite Imaging for Agriculture Market (by End User), $Million, 2022-2028
Table 61: Switzerland Satellite Imaging for Agriculture Market (by Product), $Million, 2022-2028
Table 62: Belgium Satellite Imaging for Agriculture Market (by Application), $Thousand, 2022-2028
Table 63: Belgium Satellite Imaging for Agriculture Market (by End User), $Thousand, 2022-2028
Table 64: Belgium Satellite Imaging for Agriculture Market (by Product), $Thousand, 2022-2028
Table 65: Spain Satellite Imaging for Agriculture Market (by Application), $Million, 2022-2028
Table 66: Spain Satellite Imaging for Agriculture Market (by End User), $Million, 2022-2028
Table 67: Spain Satellite Imaging for Agriculture Market (by Product), $Million, 2022-2028
Table 68: Rest-of-Europe Satellite Imaging for Agriculture Market (by Application), $Million, 2022-2028
Table 69: Rest-of-Europe Satellite Imaging for Agriculture Market (by End User), $Million, 2022-2028
Table 70: Rest-of-Europe Satellite Imaging for Agriculture Market (by Product), $Million, 2022-2028
Table 71: U.K. Satellite Imaging for Agriculture Market (by Application), $Million, 2022-2028
Table 72: U.K. Satellite Imaging for Agriculture Market (by End User), $Million, 2022-2028
Table 73: U.K. Satellite Imaging for Agriculture Market (by Product), $Million, 2022-2028
Table 74: Middle East and Africa Satellite Imaging for Agriculture Market (by Application), $Million, 2022-2028
Table 75: Middle East and Africa Satellite Imaging for Agriculture Market (by End User), $Million, 2022-2028
Table 76: Middle East and Africa Satellite Imaging for Agriculture Market (by Product), $Million, 2022-2028
Table 77: Middle East and Africa Satellite Imaging for Agriculture (by Country), $Million, 2022-2028
Table 78: South Africa Satellite Imaging for Agriculture Market (by Application), $Million, 2022-2028
Table 79: South Africa Satellite Imaging for Agriculture Market (by End User), $Million, 2022-2028
Table 80: South Africa Satellite Imaging for Agriculture Market (by Product), $Million, 2022-2028
Table 81: Turkey Satellite Imaging for Agriculture Market (by Application), $Million, 2022-2028
Table 82: Turkey Satellite Imaging for Agriculture Market (by End User), $Million, 2022-2028
Table 83: Turkey Satellite Imaging for Agriculture Market (by Product), $Million, 2022-2028
Table 84: Israel Satellite Imaging for Agriculture Market (by Application), $Thousand, 2022-2028
Table 85: Israel Satellite Imaging for Agriculture Market (by End User), $Thousand, 2022-2028
Table 86: Israel Satellite Imaging for Agriculture Market (by Product), $Thousand, 2022-2028
Table 87: Rest-of-Middle East and Africa Satellite Imaging for Agriculture Market (by Application), $Million, 2022-2028
Table 88: Rest-of-Middle East and Africa Satellite Imaging for Agriculture Market (by End User), $Million, 2022-2028
Table 89: Rest-of-Middle East and Africa Satellite Imaging for Agriculture Market (by Product), $Million, 2022-2028
Table 90: China Satellite Imaging for Agriculture Market (by Application), $Million, 2022-2028
Table 91: China Satellite Imaging for Agriculture Market (by End User), $Million, 2022-2028
Table 92: China Satellite Imaging for Agriculture Market (by Product), $Million, 2022-2028
Table 93: Asia-Pacific Satellite Imaging for Agriculture Market (by Application), $Million, 2022-2028
Table 94: Asia-Pacific Satellite Imaging for Agriculture Market (by End User), $Million, 2022-2028
Table 95: Asia-Pacific Satellite Imaging for Agriculture Market (by Product), $Million, 2022-2028
Table 96: Asia-Pacific Satellite Imaging for Agriculture (by Country), $Million, 2022-2028
Table 97: Japan Satellite Imaging for Agriculture Market (by Application), $Million, 2022-2028
Table 98: Japan Satellite Imaging for Agriculture Market (by End User), $Million, 2022-2028
Table 99: Japan Satellite Imaging for Agriculture Market (by Product), $Million, 2022-2028
Table 100: Australia and New Zealand Satellite Imaging for Agriculture Market (by Application), $Million, 2022-2028
Table 101: Australia and New Zealand Satellite Imaging for Agriculture Market (by End User), $Million, 2022-2028
Table 102: Australia and New Zealand Satellite Imaging for Agriculture Market (by Product), $Million, 2022-2028
Table 103: South Korea Satellite Imaging for Agriculture Market (by Application), $Million, 2022-2028
Table 104: South Korea Satellite Imaging for Agriculture Market (by End User), $Thousand, 2022-2028
Table 105: South Korea Satellite Imaging for Agriculture Market (by Product), $Million, 2022-2028
Table 106: India Satellite Imaging for Agriculture Market (by Application), $Million, 2022-2028
Table 107: India Satellite Imaging for Agriculture Market (by End User), $Million, 2022-2028
Table 108: India Satellite Imaging for Agriculture Market (by Product), $Million, 2022-2028
Table 109: Rest-of-Asia-Pacific Satellite Imaging for Agriculture Market (by Application), $Million, 2022-2028
Table 110: Rest-of-Asia-Pacific Satellite Imaging for Agriculture Market (by End User), $Million, 2022-2028
Table 111: Rest-of-Asia-Pacific Satellite Imaging for Agriculture Market (by Product), $Million, 2022-2028
Table 112: Airbus: Product Portfolio
Table 113: Airbus: Product Development
Table 114: Airbus: Partnership, Joint Venture, Collaboration, and Alliance
Table 115: Descartes Labs, Inc: Product Portfolio
Table 116: Descartes Labs, Inc: Product Development
Table 117: Descartes Labs, Inc: Market Development
Table 118: Descartes Labs, Inc: Merger and Acquisition
Table 119: EOS Data Analytics,Inc: Product Portfolio
Table 120: EOS Data Analytics,Inc: Partnership, Joint Venture, Collaboration, and Alliance
Table 121: Esri: Product Portfolio
Table 122: Esri: Partnership, Joint Venture, Collaboration, and Alliance
Table 123: European Space Imaging: Product Portfolio
Table 124: European Space Imaging: Partnership, Joint Venture, Collaboration, and Alliance
Table 125: Farmers Edge Inc: Product Portfolio
Table 126: Farmers Edge Inc: Partnership, Joint Venture, Collaboration, and Alliance
Table 127: Gamaya: Product Portfolio
Table 128: Gamaya: Product Development
Table 129: ICEYE: Product Portfolio
Table 130: ICEYE: Market Development
Table 131: NaraSpace Inc: Product Portfolio
Table 132: NaraSpace Inc: Partnership, Joint Venture, Collaboration, and Alliance
Table 133: Open Cosmos Ltd: Product Portfolio
Table 134: Open Cosmos Ltd: Product Development
Table 135: Open Cosmos Ltd: Partnership, Joint Venture, Collaboration, and Alliance
Table 136: Planet Labs PBC: Product Portfolio
Table 137: Planet Labs PBC: Product Development
Table 138: Planet Labs PBC: Merger and Acquisition
Table 139: Planet Labs PBC: Partnership, Joint Venture, Collaboration, and Alliance
Table 140: Satellite Imaging Corporation: Product Portfolio
Table 141: Satellogic: Product Portfolio
Table 142: Satellogic: Market Development
Table 143: Satellogic: Partnership, Joint Venture, Collaboration, and Alliance
Table 144: SkyWatch: Product Portfolio
Table 145: SkyWatch: Product Development
Table 146: SkyWatch: Partnership, Joint Venture, Collaboration, and Alliance
Table 147: SpaceKnow Inc.: Product Portfolio
Table 148: Syngenta: Pricing and Product Portfolio
Table 149: Syngenta: Market Developments
Table 150: Syngenta: Product Developments
Table 151: EarthDaily Analytics: Product Portfolio
Table 152: EarthDaily Analytics: Market Development
Table 153: Maxar Technologies: Product Portfolio
Table 154: Maxar Technologies: Product Development
Table 155: Maxar Technologies: Merger and Acquisition
Table 156: Maxar Technologies: Partnership, Joint Venture, Collaboration, and Alliance
Table 157: SatSure: Product Portfolio
Table 158: SatSure: Product Development
Table 159: SatSure: Merger and Acquisition
Table 160: SatSure: Partnership, Joint Venture, Collaboration, and Alliance
Table 161: SpaceSense: Product Portfolio
Table 162: SpaceSense: Partnership, Joint Venture, Collaboration, and Alliance
Table 163: Synspective: Product Portfolio
Table 164: Synspective: Partnership, Joint Venture, Collaboration, and Alliance
