Spatial Genomics and Spatial Transcriptomics Market by Type of Solution (Instruments, Consumables and Services), Type of Sample (DNA, RNA and Proteins), End Users (Pharmaceutical and Biotechnology Companies, and Academic and Research institutes), Research Areas (Oncology, Immunology, Neurology, Infectious and Others), and Key Geographical Regions (North America, Europe, and Asia-Pacific and the Rest of the World): Industry Trends and Forecasts, 2022-2035
The global spatial genomics and spatial transcriptomics market is expected to reach USD 4.7 billion in 2022 anticipated to grow at a CAGR of 11.9% during the forecast period 2022-2035.
Since the first unveiling of the human genetic map in 1987, the field of omics-based analysis has undergone substantial evolution. Researchers have transitioned from solely decoding gene sequences to exploring the spatial distribution and interactions of cell types, delving into biomarkers such as DNA, RNA, and proteins. This approach, referred to as spatial phenotyping, aims to comprehend the arrangement of biological elements within tissues.
Conventional molecular profiling techniques, like microarrays, quantitative polymerase chain reaction (qPCR), flow cytometry, mass spectrometry, immunohistochemistry, and enzyme-linked immunosorbent assays (ELISA), while extensively used, tend to dissociate tissue samples, resulting in the loss of vital spatial information across the genome, transcriptome, and proteome. Recognizing this limitation, innovators have merged cell imaging with molecular profiling to visualize and quantify cells and biomarkers within intact tissue samples. These integrated solutions, comprising platforms, associated reagents, and software applications, empower researchers to broaden their studies, gain deeper insights into disease morphology, identify novel biomarkers, and develop precise therapies.
Moreover, these spatial phenotyping platforms seamlessly integrate with existing Next-Generation Sequencing (NGS) workflows. Consequently, there's a growing inclination towards adopting these innovative devices to expand research endeavors, encompassing the spectrum from discovery to clinical phases. Recent surveys indicate a 44% intention among respondents to invest in spatial profiling platforms. Simultaneously, a study published in JAMA Oncology underscored the superiority of spatial phenotyping methods in analyzing biomarkers among patients with immuno-oncological diseases. Notably, in 2020, Nature Methods recognized Spatial Transcriptomics as its 'Method of the Year.'
To capitalize on the burgeoning opportunities in this specialized market, developers of spatial-omics solutions are striving to broaden the reach of their technologies among diverse clientele, including academic research centers, institutes, and biopharma companies. They are enhancing their devices with advanced features such as machine learning-based image analysis, automated sample processing, high-multiplexing, and tailored gene panels for specific biomarkers, including those associated with SARS-CoV-2.
Furthermore, the cost of conducting these intricate tests has notably decreased in recent years. Spatial analysis of highly complex stained panels now costs approximately USD 1,000 per slide, aligning with the cost of whole-genome sequencing via NGS. Additionally, these instruments efficiently process formalin-fixed paraffin-embedded (FFPE) tissue samples, vital as nearly 80% of translational research studies utilizing tissue samples rely on this sample type.
Some industry players have introduced customized access programs for biopharmaceutical companies, enabling them to leverage spatial omics technologies in guiding their drug development initiatives. The continual innovation and increasing adoption of spatial biology solutions indicate a promising outlook, suggesting sustained market growth for providers of spatial profiling solutions in the forecast period.
Report Coverage
Since the first unveiling of the human genetic map in 1987, the field of omics-based analysis has undergone substantial evolution. Researchers have transitioned from solely decoding gene sequences to exploring the spatial distribution and interactions of cell types, delving into biomarkers such as DNA, RNA, and proteins. This approach, referred to as spatial phenotyping, aims to comprehend the arrangement of biological elements within tissues.
Conventional molecular profiling techniques, like microarrays, quantitative polymerase chain reaction (qPCR), flow cytometry, mass spectrometry, immunohistochemistry, and enzyme-linked immunosorbent assays (ELISA), while extensively used, tend to dissociate tissue samples, resulting in the loss of vital spatial information across the genome, transcriptome, and proteome. Recognizing this limitation, innovators have merged cell imaging with molecular profiling to visualize and quantify cells and biomarkers within intact tissue samples. These integrated solutions, comprising platforms, associated reagents, and software applications, empower researchers to broaden their studies, gain deeper insights into disease morphology, identify novel biomarkers, and develop precise therapies.
Moreover, these spatial phenotyping platforms seamlessly integrate with existing Next-Generation Sequencing (NGS) workflows. Consequently, there's a growing inclination towards adopting these innovative devices to expand research endeavors, encompassing the spectrum from discovery to clinical phases. Recent surveys indicate a 44% intention among respondents to invest in spatial profiling platforms. Simultaneously, a study published in JAMA Oncology underscored the superiority of spatial phenotyping methods in analyzing biomarkers among patients with immuno-oncological diseases. Notably, in 2020, Nature Methods recognized Spatial Transcriptomics as its 'Method of the Year.'
To capitalize on the burgeoning opportunities in this specialized market, developers of spatial-omics solutions are striving to broaden the reach of their technologies among diverse clientele, including academic research centers, institutes, and biopharma companies. They are enhancing their devices with advanced features such as machine learning-based image analysis, automated sample processing, high-multiplexing, and tailored gene panels for specific biomarkers, including those associated with SARS-CoV-2.
Furthermore, the cost of conducting these intricate tests has notably decreased in recent years. Spatial analysis of highly complex stained panels now costs approximately USD 1,000 per slide, aligning with the cost of whole-genome sequencing via NGS. Additionally, these instruments efficiently process formalin-fixed paraffin-embedded (FFPE) tissue samples, vital as nearly 80% of translational research studies utilizing tissue samples rely on this sample type.
Some industry players have introduced customized access programs for biopharmaceutical companies, enabling them to leverage spatial omics technologies in guiding their drug development initiatives. The continual innovation and increasing adoption of spatial biology solutions indicate a promising outlook, suggesting sustained market growth for providers of spatial profiling solutions in the forecast period.
Report Coverage
- An Executive summary including the main research insights about the current state and future of spatial omics solutions market.
- Introduction to Spatial Omics Solutions: Explores the need, evolution, features, techniques, components, and potential applications in various disease areas.
- Market Landscape of Spatial Omics Solutions providing an overview of 40+ players in spatial genomics, transcriptomics, and proteomics, detailing their offerings, types of samples analyzed, detection methods, etc.
- Competitiveness analysis evaluates spatial omics technologies based on supplier strength and portfolio diversity.
- Detailed profiles of solution providers offering in-depth profiles of key companies, their solutions, financial info (if available), recent developments, and future outlook.
- Partnerships and collaborations analyze partnerships in spatial solutions, focusing on types, therapeutic areas, and key players involved from 2017-2022.
- Patent Analysis delves into the patents filed/granted for spatial profiling solutions, discussing trends, geography, patent holders, and a valuation analysis.
- Scientific articles review 600+ peer-reviewed articles on spatial omics solutions, highlighting publication trends, keywords, top journals, and publishers.
- Genome sequencing technologies landscape exploring sequencing technologies, applications, providers, and technical specifications in the genome sequencing domain.
- Market forecast analysis forecasts the future of spatial omics solutions market till 2035, segmenting projections based on solution type, sample, end-users, research areas, and geography.
- Interview Transcripts containing interviews with key stakeholders in the spatial analysis market.
- 10x Genomics
- Akoya Biosciences
- Bruker
- Canopy Biosciences
- NanoString Technologies
- Vizgen
- Lunaphore Technologies
- Molecular Machines & Industries
- Resolve Biosciences
1. PREFACE
1.1. Scope of the Report
1.2. Research Methodology
1.3. Key Questions Answered
1.4. Chapter Outlines
2. EXECUTIVE SUMMARY
2.1. Chapter Overview
3. INTRODUCTION
3.1. Chapter Overview
3.2. Overview of Spatial Biology
3.3. Overview of Spatial Omics Solutions
3.3.1. Historical Overview of Spatial Omics Solutions
3.3.2. Features of Spatial Omics Solutions
3.3.3. Workflow of Spatial Omics Instruments
3.3.4. Computational Methods for Spatial Omics
3.3.5. Application Area(s)
3.4. Concluding Remarks
4. SPATIAL OMICS SOLUTIONS: MARKET LANDSCAPE
4.1. Chapter Overview
4.2. List of Spatial Omics Solutions
4.2.1. Analysis by Commercial Availability
4.2.2. Analysis by Type of Solution(s)
4.2.3. Analysis by Type of Sample(s) Analyzed
4.2.4. Analysis by Supporting Labware
4.2.5. Analysis by Type of Molecule(s) Analyzed
4.2.6. Analysis by Detection Method(s) Used
4.2.7. Analysis by Maximum Plex Level
4.2.8. Analysis by Quantification Capability
4.2.9. Analysis by Research Area(s)
4.2.10. Analysis by Application Area(s)
4.2.11. Analysis by Compatible Sample Source(s)
4.2.12 Analysis by Compatible Sample Source(s) and Type of Sample(s) Analyzed
4.2.13 Analysis by Quantification Capability and Type of Molecule(s) Analyzed
4.2.14 Analysis by Detection Method(s) Used and Maximum Plex Level
4.3. Spatial Omics Solution Providers: List of Players
4.3.1. Analysis by Type of Player
4.3.2. Analysis by Year of Establishment
4.3.3. Analysis by Player Size
4.3.4. Analysis by Location of Headquarters
4.3.5. Analysis by Company Ownership
4.3.6. Analysis by Year of Establishment and Location of Headquarters
4.3.7. Analysis by Player Size and Location of Headquarters
4.3.8. Analysis by Leading Players
4.4. Spatial Omics Solutions: List of Kits
4.5. Spatial Omics Solutions: Funding and Investments
5. SPATIAL OMICS SOLUTIONS: PRODUCT COMPETITIVENESS ANALYSIS
5.1 Chapter Overview
5.2 Assumptions / Key Parameters
5.3 Methodology
5.4 Product Competitiveness Analysis: Spatial Omics Solutions
5.4.1 Peer Group I: Small Companies
5.4.2. Peer Group II: Mid-sized Companies
5.4.3. Peer Group III: Large Companies
6. SPATIAL OMICS SOLUTIONS: COMPANY PROFILES
6.1. Chapter Overview
6.2. Spatial Omics Analysis Solution Providers: North America
6.2.1. 10x Genomics
6.2.1.1. Company Overview
6.2.1.2. Financial Information
6.2.1.3. Product Portfolio
6.2.1.4. Recent Developments and Future Outlook
6.2.2. Akoya Biosciences
6.2.2.1. Company Overview
6.2.2.2. Financial Information
6.2.2.3. Product Portfolio
6.2.2.4. Recent Developments and Future Outlook
6.2.3. Bruker
6.2.3.1. Company Overview
6.2.3.2. Financial Information
6.2.3.3. Product Portfolio
6.2.3.4. Recent Developments and Future Outlook
6.2.4. Canopy Biosciences
6.2.4.1. Company Overview
6.2.4.2. Product Portfolio
6.2.4.3. Recent Developments and Future Outlook
6.2.5. NanoString Technologies
6.2.5.1. Company Overview
6.2.5.2 Financial Information
6.2.5.3. Product Portfolio
6.2.5.4. Recent Developments and Future Outlook
6.2.6. Vizgen
6.2.6.1. Company Overview
6.2.6.2. Product Portfolio
6.2.6.3. Recent Developments and Future Outlook
6.3. Spatial Omics Analysis Solution Providers: Europe
6.3.1. Lunaphore Technologies
6.3.1.1. Company Overview
6.3.1.2. Product Portfolio
6.3.1.3. Recent Developments and Future Outlook
6.3.2. Molecular Machines & Industries (MMI)
6.3.2.1. Company Overview
6.3.2.2. Product Portfolio
6.3.2.3. Recent Developments and Future Outlook
6.3.3. Resolve Biosciences
6.3.3.1. Company Overview
6.3.3.2. Product Portfolio
6.3.3.3. Recent Developments and Future Outlook
7. PARTNERSHIPS AND COLLABORATIONS
7.1. Chapter Overview
7.2. Partnership Models
7.3. Spatial Omics Solutions: List of Partnerships and Collaborations
7.3.1. Analysis by Year of Partnership
7.3.2. Analysis by Type of Partnership
7.3.3. Analysis by Type of Partner
7.3.4. Analysis by Year of Partnership and Type of Partner
7.3.5. Analysis by Type of Partnership and Type of Partner
7.3.6. Analysis by Therapeutic Area
7.3.7. Intercontinental and Intracontinental Agreements
7.3.8. Analysis by Regional Distribution
7.3.9. Most Active Players: Analysis by Number of Partnerships
8. PATENT ANALYSIS
8.1. Chapter Overview
8.2 Scope and Methodology
8.3 Spatial Omics Solutions: Patent Analysis
8.3.1. Analysis by Application Year
8.3.2. Analysis by Publication Year
8.3.3. Analysis by Geography
8.3.4. Analysis by CPC Symbols
8.3.5. Word Cloud: Emerging Focus Areas
8.3.6. Analysis by Type of Applicant
8.3.7. Leading Players: Analysis by Number of Patents
8.3.8. Leading Patent Assignees: Analysis by Number of Patents
8.4. Spatial Omics Solutions: Patent Benchmarking Analysis
8.5. Spatial Omics Solutions: Patent Valuation
8.6. Leading Patents: Analysis by Number of Citations
9. PUBLICATION ANALYSIS
9.1. Chapter Overview
9.2 Scope and Methodology
9.3. Spatial Omics Solutions: List of Publications
9.3.1. Analysis by Year of Publication (2001-2022)
9.3.2. Analysis by Year and Quarterly Trend of Publication (2015-2021)
9.3.3. Analysis by Month and Quarterly Trend of Publication (2015-2021)
9.3.4. Analysis by Type of Publication
9.3.5. Most Popular Journals: Analysis by Number of Publications
9.3.6. Most Popular Journals: Analysis by Journal Impact Factor
9.3.7. Most Popular Publishers: Analysis by Number of Publications
9.3.8. Most Popular Copyright Holder: Analysis by Number of Publications
9.3.9. Analysis by Popular Keywords
9.3.10. Most Popular Authors: Analysis by Number of Publications
9.3.11. Analysis by Affiliated Institutes
9.3.12. Analysis by Most Targeted Research Area
9.3.13. Analysis by Geography
10. CASE STUDY ON POTENTIAL CLIENTS OF SPATIAL OMICS SOLUTION PROVIDERS
10.1. Chapter Overview
10.2. Live Cell Imaging Instruments Providers: Overall Market Landscape
10.2.1. Analysis by Year of Establishment
10.2.2. Analysis by Company Size
10.2.3. Analysis by Location of Headquarters
10.2.4. Analysis by Company Type
10.2.5. Analysis by Year of Establishment and Location of Headquarters
10.2.6. Analysis by Company Size and Location of Headquarters
10.2.7. Year-Wise Distribution of Commercial Availability
10.2.8. Analysis by Microscope Weight
10.2.9. Analysis by Microscope Configuration
10.2.10. Analysis by Incubator Integrated and Environmental Parameters Controlled
10.2.11. Analysis by Supported Labware
10.2.12. Analysis by Mode of Imaging
10.2.13. Analysis by Multi-user Mode
10.2.14. Analysis by Z-stack Imaging Capability
10.2.15. Analysis by Availability of Autofocusing / Semi-Autofocusing Ability
10.2.16. Analysis by Mode of Imaging, Multi-user mode, Z-Stack Imaging and Autofocusing Semi-autofocusing Capability
10.2.17. Analysis by Number of Fluorescence Channels
10.2.18. Analysis by Magnification
11. CASE STUDY ON SEQUENCING TECHNOLOGIES
11.1. Chapter Overview
11.2. Genome Sequencing Technologies: Overall Market Landscape
11.2.1. Analysis by Type of Sequencing Technique
11.2.2. Analysis by Maximum Output
11.2.3. Analysis by Maximum Reads per Run
11.2.4. Analysis by Method of Sequencing
11.3 Genome Sequencing Technology Providers: Overall Market Landscape
11.3.1. Analysis by Year of Establishment
11.3.2. Analysis by Company Size
11.3.3. Analysis by Location of Headquarters
12. SPATIAL OMICS SOLUTION PROVIDERS: MARKET FORECAST AND OPPORTUNITY ANALYSIS
12.1 Chapter Overview
12.2. Forecast Methodology and Key Assumptions
12.3. Global Spatial Omics Solutions Market, 2022-2035
12.3.1 Spatial Omics Solutions Market: Distribution by Type of Solution, 2022-2035
12.3.1.1 Spatial Omics Solutions Market for Instruments, 2022-2035
12.3.1.2 Spatial Omics Solutions Market for Services, 2022-2035
12.3.1.3 Spatial Omics Solutions Market for Consumables and Software, 2022-2035
12.3.2. Spatial Omics Solutions Market: Distribution by Type of Sample, 2022-2035
12.3.2.1 Spatial Omics Solutions Market for Proteins, 2022-2035
12.3.2.2 Spatial Omics Solutions Market for RNA, 2022-2035
12.3.2.3 Spatial Omics Solutions Market for DNA, 2022-2035
12.3.3. Spatial Omics Solutions Market: Distribution by Research Area, 2022-2035
12.3.3.1 Spatial Omics Solutions Market for Oncological and Immuno-Oncological Disorders, 2022-2035
12.3.3.2 Spatial Omics Solutions Market for Immunological Disorders, 2022-2035
12.3.3.3 Spatial Omics Solutions Market for Neurological Disorders, 2022-2035
12.3.3.4 Spatial Omics Solutions Market for Infectious Diseases, 2022-2035
12.3.3.5 Spatial Omics Solutions Market for Other Research Areas, 2022-2035
12.3.4. Spatial Omics Solutions Market: Distribution by End User, 2022-2035
12.3.4.1 Spatial Omics Solutions Market for Pharmaceutical and Biotechnology Companies, 2022-2035
12.3.4.2 Spatial Omics Solutions Market for Academic and Research Institutes, 2022-2035
12.3.5. Spatial Omics Solutions Market: Distribution by Key Geographical Regions, 2022-2035
12.3.5.1 Spatial Omics Solutions Market in North America, 2022-2035
12.3.5.2 Spatial Omics Solutions Market in Europe, 2022-2035
12.3.5.3 Spatial Omics Solutions Market in Asia-Pacific and Rest of the World, 2022-2035
12.4. Spatial Omics Solutions Market for Instruments, 2022-2035
12.4.1. Spatial Omics Solutions Market for Instruments: Distribution by Type of Sample, 2022-2035
12.4.2. Spatial Omics Solutions Market for Instruments: Distribution by Research Area, 2022-2035
12.4.3. Spatial Omics Solutions Market for Instruments: Distribution by End User, 2022-2035
12.4.4. Spatial Omics Solutions Market for Instruments: Distribution by Key Geographical Regions, 2022-2035
12.5. Spatial Omics Solutions Market for Services, 2022-2035
12.5.1. Spatial Omics Solutions Market for Services: Distribution by Type of Sample, 2022-2035
12.5.2. Spatial Omics Solutions Market for Services: Distribution by Research Area, 2022-2035
12.5.3. Spatial Omics Solutions Market for Services: Distribution by End User, 2022-2035
12.5.4. Spatial Omics Solutions Market for Services: Distribution by Key Geographical Regions, 2022-2035
12.6. Spatial Omics Solutions Market for Consumables and Software, 2022-2035
12.6.1. Spatial Omics Solutions Market for Consumables and Software: Distribution by Type of Sample, 2022-2035
12.6.2. Spatial Omics Solutions Market for Consumables and Software: Distribution by Research Area, 2022-2035
12.6.3. Spatial Omics Solutions Market for Consumables and Software: Distribution by End User, 2022-2035
12.6.4. Spatial Omics Solutions Market for Consumables and Software: Distribution by Key Geographical Regions, 2022-2035
13. EXECUTIVE INSIGHTS
13.1. Chapter Overview
13.2. Akoya Biosciences
13.2.1. Chapter Snapshot
13.2.2. Interview Transcript
13.3. Ionpath
13.3.1. Chapter Snapshot
13.3.2. Interview Transcript
14. CONCLUDING REMARKS
14.1. Chapter Overview
15. APPENDIX 1: TABULATED DATA
16. APPENDIX II: LIST OF COMPANIES AND ORGANIZATION
1.1. Scope of the Report
1.2. Research Methodology
1.3. Key Questions Answered
1.4. Chapter Outlines
2. EXECUTIVE SUMMARY
2.1. Chapter Overview
3. INTRODUCTION
3.1. Chapter Overview
3.2. Overview of Spatial Biology
3.3. Overview of Spatial Omics Solutions
3.3.1. Historical Overview of Spatial Omics Solutions
3.3.2. Features of Spatial Omics Solutions
3.3.3. Workflow of Spatial Omics Instruments
3.3.4. Computational Methods for Spatial Omics
3.3.5. Application Area(s)
3.4. Concluding Remarks
4. SPATIAL OMICS SOLUTIONS: MARKET LANDSCAPE
4.1. Chapter Overview
4.2. List of Spatial Omics Solutions
4.2.1. Analysis by Commercial Availability
4.2.2. Analysis by Type of Solution(s)
4.2.3. Analysis by Type of Sample(s) Analyzed
4.2.4. Analysis by Supporting Labware
4.2.5. Analysis by Type of Molecule(s) Analyzed
4.2.6. Analysis by Detection Method(s) Used
4.2.7. Analysis by Maximum Plex Level
4.2.8. Analysis by Quantification Capability
4.2.9. Analysis by Research Area(s)
4.2.10. Analysis by Application Area(s)
4.2.11. Analysis by Compatible Sample Source(s)
4.2.12 Analysis by Compatible Sample Source(s) and Type of Sample(s) Analyzed
4.2.13 Analysis by Quantification Capability and Type of Molecule(s) Analyzed
4.2.14 Analysis by Detection Method(s) Used and Maximum Plex Level
4.3. Spatial Omics Solution Providers: List of Players
4.3.1. Analysis by Type of Player
4.3.2. Analysis by Year of Establishment
4.3.3. Analysis by Player Size
4.3.4. Analysis by Location of Headquarters
4.3.5. Analysis by Company Ownership
4.3.6. Analysis by Year of Establishment and Location of Headquarters
4.3.7. Analysis by Player Size and Location of Headquarters
4.3.8. Analysis by Leading Players
4.4. Spatial Omics Solutions: List of Kits
4.5. Spatial Omics Solutions: Funding and Investments
5. SPATIAL OMICS SOLUTIONS: PRODUCT COMPETITIVENESS ANALYSIS
5.1 Chapter Overview
5.2 Assumptions / Key Parameters
5.3 Methodology
5.4 Product Competitiveness Analysis: Spatial Omics Solutions
5.4.1 Peer Group I: Small Companies
5.4.2. Peer Group II: Mid-sized Companies
5.4.3. Peer Group III: Large Companies
6. SPATIAL OMICS SOLUTIONS: COMPANY PROFILES
6.1. Chapter Overview
6.2. Spatial Omics Analysis Solution Providers: North America
6.2.1. 10x Genomics
6.2.1.1. Company Overview
6.2.1.2. Financial Information
6.2.1.3. Product Portfolio
6.2.1.4. Recent Developments and Future Outlook
6.2.2. Akoya Biosciences
6.2.2.1. Company Overview
6.2.2.2. Financial Information
6.2.2.3. Product Portfolio
6.2.2.4. Recent Developments and Future Outlook
6.2.3. Bruker
6.2.3.1. Company Overview
6.2.3.2. Financial Information
6.2.3.3. Product Portfolio
6.2.3.4. Recent Developments and Future Outlook
6.2.4. Canopy Biosciences
6.2.4.1. Company Overview
6.2.4.2. Product Portfolio
6.2.4.3. Recent Developments and Future Outlook
6.2.5. NanoString Technologies
6.2.5.1. Company Overview
6.2.5.2 Financial Information
6.2.5.3. Product Portfolio
6.2.5.4. Recent Developments and Future Outlook
6.2.6. Vizgen
6.2.6.1. Company Overview
6.2.6.2. Product Portfolio
6.2.6.3. Recent Developments and Future Outlook
6.3. Spatial Omics Analysis Solution Providers: Europe
6.3.1. Lunaphore Technologies
6.3.1.1. Company Overview
6.3.1.2. Product Portfolio
6.3.1.3. Recent Developments and Future Outlook
6.3.2. Molecular Machines & Industries (MMI)
6.3.2.1. Company Overview
6.3.2.2. Product Portfolio
6.3.2.3. Recent Developments and Future Outlook
6.3.3. Resolve Biosciences
6.3.3.1. Company Overview
6.3.3.2. Product Portfolio
6.3.3.3. Recent Developments and Future Outlook
7. PARTNERSHIPS AND COLLABORATIONS
7.1. Chapter Overview
7.2. Partnership Models
7.3. Spatial Omics Solutions: List of Partnerships and Collaborations
7.3.1. Analysis by Year of Partnership
7.3.2. Analysis by Type of Partnership
7.3.3. Analysis by Type of Partner
7.3.4. Analysis by Year of Partnership and Type of Partner
7.3.5. Analysis by Type of Partnership and Type of Partner
7.3.6. Analysis by Therapeutic Area
7.3.7. Intercontinental and Intracontinental Agreements
7.3.8. Analysis by Regional Distribution
7.3.9. Most Active Players: Analysis by Number of Partnerships
8. PATENT ANALYSIS
8.1. Chapter Overview
8.2 Scope and Methodology
8.3 Spatial Omics Solutions: Patent Analysis
8.3.1. Analysis by Application Year
8.3.2. Analysis by Publication Year
8.3.3. Analysis by Geography
8.3.4. Analysis by CPC Symbols
8.3.5. Word Cloud: Emerging Focus Areas
8.3.6. Analysis by Type of Applicant
8.3.7. Leading Players: Analysis by Number of Patents
8.3.8. Leading Patent Assignees: Analysis by Number of Patents
8.4. Spatial Omics Solutions: Patent Benchmarking Analysis
8.5. Spatial Omics Solutions: Patent Valuation
8.6. Leading Patents: Analysis by Number of Citations
9. PUBLICATION ANALYSIS
9.1. Chapter Overview
9.2 Scope and Methodology
9.3. Spatial Omics Solutions: List of Publications
9.3.1. Analysis by Year of Publication (2001-2022)
9.3.2. Analysis by Year and Quarterly Trend of Publication (2015-2021)
9.3.3. Analysis by Month and Quarterly Trend of Publication (2015-2021)
9.3.4. Analysis by Type of Publication
9.3.5. Most Popular Journals: Analysis by Number of Publications
9.3.6. Most Popular Journals: Analysis by Journal Impact Factor
9.3.7. Most Popular Publishers: Analysis by Number of Publications
9.3.8. Most Popular Copyright Holder: Analysis by Number of Publications
9.3.9. Analysis by Popular Keywords
9.3.10. Most Popular Authors: Analysis by Number of Publications
9.3.11. Analysis by Affiliated Institutes
9.3.12. Analysis by Most Targeted Research Area
9.3.13. Analysis by Geography
10. CASE STUDY ON POTENTIAL CLIENTS OF SPATIAL OMICS SOLUTION PROVIDERS
10.1. Chapter Overview
10.2. Live Cell Imaging Instruments Providers: Overall Market Landscape
10.2.1. Analysis by Year of Establishment
10.2.2. Analysis by Company Size
10.2.3. Analysis by Location of Headquarters
10.2.4. Analysis by Company Type
10.2.5. Analysis by Year of Establishment and Location of Headquarters
10.2.6. Analysis by Company Size and Location of Headquarters
10.2.7. Year-Wise Distribution of Commercial Availability
10.2.8. Analysis by Microscope Weight
10.2.9. Analysis by Microscope Configuration
10.2.10. Analysis by Incubator Integrated and Environmental Parameters Controlled
10.2.11. Analysis by Supported Labware
10.2.12. Analysis by Mode of Imaging
10.2.13. Analysis by Multi-user Mode
10.2.14. Analysis by Z-stack Imaging Capability
10.2.15. Analysis by Availability of Autofocusing / Semi-Autofocusing Ability
10.2.16. Analysis by Mode of Imaging, Multi-user mode, Z-Stack Imaging and Autofocusing Semi-autofocusing Capability
10.2.17. Analysis by Number of Fluorescence Channels
10.2.18. Analysis by Magnification
11. CASE STUDY ON SEQUENCING TECHNOLOGIES
11.1. Chapter Overview
11.2. Genome Sequencing Technologies: Overall Market Landscape
11.2.1. Analysis by Type of Sequencing Technique
11.2.2. Analysis by Maximum Output
11.2.3. Analysis by Maximum Reads per Run
11.2.4. Analysis by Method of Sequencing
11.3 Genome Sequencing Technology Providers: Overall Market Landscape
11.3.1. Analysis by Year of Establishment
11.3.2. Analysis by Company Size
11.3.3. Analysis by Location of Headquarters
12. SPATIAL OMICS SOLUTION PROVIDERS: MARKET FORECAST AND OPPORTUNITY ANALYSIS
12.1 Chapter Overview
12.2. Forecast Methodology and Key Assumptions
12.3. Global Spatial Omics Solutions Market, 2022-2035
12.3.1 Spatial Omics Solutions Market: Distribution by Type of Solution, 2022-2035
12.3.1.1 Spatial Omics Solutions Market for Instruments, 2022-2035
12.3.1.2 Spatial Omics Solutions Market for Services, 2022-2035
12.3.1.3 Spatial Omics Solutions Market for Consumables and Software, 2022-2035
12.3.2. Spatial Omics Solutions Market: Distribution by Type of Sample, 2022-2035
12.3.2.1 Spatial Omics Solutions Market for Proteins, 2022-2035
12.3.2.2 Spatial Omics Solutions Market for RNA, 2022-2035
12.3.2.3 Spatial Omics Solutions Market for DNA, 2022-2035
12.3.3. Spatial Omics Solutions Market: Distribution by Research Area, 2022-2035
12.3.3.1 Spatial Omics Solutions Market for Oncological and Immuno-Oncological Disorders, 2022-2035
12.3.3.2 Spatial Omics Solutions Market for Immunological Disorders, 2022-2035
12.3.3.3 Spatial Omics Solutions Market for Neurological Disorders, 2022-2035
12.3.3.4 Spatial Omics Solutions Market for Infectious Diseases, 2022-2035
12.3.3.5 Spatial Omics Solutions Market for Other Research Areas, 2022-2035
12.3.4. Spatial Omics Solutions Market: Distribution by End User, 2022-2035
12.3.4.1 Spatial Omics Solutions Market for Pharmaceutical and Biotechnology Companies, 2022-2035
12.3.4.2 Spatial Omics Solutions Market for Academic and Research Institutes, 2022-2035
12.3.5. Spatial Omics Solutions Market: Distribution by Key Geographical Regions, 2022-2035
12.3.5.1 Spatial Omics Solutions Market in North America, 2022-2035
12.3.5.2 Spatial Omics Solutions Market in Europe, 2022-2035
12.3.5.3 Spatial Omics Solutions Market in Asia-Pacific and Rest of the World, 2022-2035
12.4. Spatial Omics Solutions Market for Instruments, 2022-2035
12.4.1. Spatial Omics Solutions Market for Instruments: Distribution by Type of Sample, 2022-2035
12.4.2. Spatial Omics Solutions Market for Instruments: Distribution by Research Area, 2022-2035
12.4.3. Spatial Omics Solutions Market for Instruments: Distribution by End User, 2022-2035
12.4.4. Spatial Omics Solutions Market for Instruments: Distribution by Key Geographical Regions, 2022-2035
12.5. Spatial Omics Solutions Market for Services, 2022-2035
12.5.1. Spatial Omics Solutions Market for Services: Distribution by Type of Sample, 2022-2035
12.5.2. Spatial Omics Solutions Market for Services: Distribution by Research Area, 2022-2035
12.5.3. Spatial Omics Solutions Market for Services: Distribution by End User, 2022-2035
12.5.4. Spatial Omics Solutions Market for Services: Distribution by Key Geographical Regions, 2022-2035
12.6. Spatial Omics Solutions Market for Consumables and Software, 2022-2035
12.6.1. Spatial Omics Solutions Market for Consumables and Software: Distribution by Type of Sample, 2022-2035
12.6.2. Spatial Omics Solutions Market for Consumables and Software: Distribution by Research Area, 2022-2035
12.6.3. Spatial Omics Solutions Market for Consumables and Software: Distribution by End User, 2022-2035
12.6.4. Spatial Omics Solutions Market for Consumables and Software: Distribution by Key Geographical Regions, 2022-2035
13. EXECUTIVE INSIGHTS
13.1. Chapter Overview
13.2. Akoya Biosciences
13.2.1. Chapter Snapshot
13.2.2. Interview Transcript
13.3. Ionpath
13.3.1. Chapter Snapshot
13.3.2. Interview Transcript
14. CONCLUDING REMARKS
14.1. Chapter Overview
15. APPENDIX 1: TABULATED DATA
16. APPENDIX II: LIST OF COMPANIES AND ORGANIZATION
