Europe Smart Crop Monitoring Market: Analysis and Forecast, 2023-2028
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Introduction to Europe Smart Crop Monitoring Market
The Europe smart crop monitoring market (excluding U.K.) was valued at $1.04 billion in 2023, and it is expected to grow with a CAGR of 16.18% during the forecast period 2023-2028 to reach $2.20 billion by 2028. The increasing demand for optimum crop yields and effective resource usage in agriculture is projected to fuel the expansion of the crop monitoring market. Furthermore, developments in technologies such as AI, machine learning, and remote sensing are projected to drive crop monitoring growth even further.
Market Introduction
Smart crop monitoring is the use of advanced technology such as satellite images, drones, sensors, and data analytics to precisely and efficiently monitor and manage agricultural crops. It entails collecting, analyzing, and interpreting data in real time to optimize many aspects of farming such as irrigation, pest management, fertilizer use, and general crop health. Crop health monitoring enables farmers to make more informed decisions, increase productivity, conserve resources, and implement sustainable agricultural methods, resulting in higher yields and lower environmental impact.
Smart crop scouting and spraying have enormous promise for input optimization and increased crop yields. Farmers may ensure that pesticides and herbicides are used efficiently and effectively by spraying them more precisely, avoiding waste and even improving crop yields.
In response to these problems, demand for smart agricultural monitoring is projected to rise. These technologies can offer farmers with real-time data on crop health and soil conditions, allowing them to apply inputs more precisely and at the right moment. This saves waste while simultaneously improving crop health and production.
Market Segmentation:
Segmentation 1: by Application
Product/Innovation Strategy: In the realm of smart crop monitoring, technological advancements are transforming agricultural landscapes. Smart crop monitoring solutions utilize diverse technologies such as IoT sensors, drones, and data analytics. These tools offer precise insights into crop health, optimizing irrigation, pest management, and harvest times. Innovations such as satellite imaging and remote sensing provide a holistic view of fields, empowering farmers to make informed decisions. The market encompasses a range of solutions, from real-time monitoring platforms to AI-driven predictive analysis, enabling farmers to enhance productivity and reduce resource wastage significantly.
Growth/Marketing Strategy: The Europe smart crop monitoring market has witnessed remarkable growth strategies by key players. Business expansions, collaborations, and partnerships have been pivotal. Companies are venturing into global markets, forging alliances, and engaging in research collaborations to enhance their technological prowess. Collaborative efforts between tech companies and agricultural experts are driving the development of cutting-edge monitoring tools. Additionally, strategic joint ventures are fostering the integration of diverse expertise, amplifying the market presence of these solutions. This collaborative approach is instrumental in developing comprehensive, user-friendly, and efficient smart crop monitoring systems.
Competitive Strategy: In the competitive landscape of smart crop monitoring, manufacturers are diversifying their product portfolios to cover various crops and farming practices. Market segments include soil analysis tools, disease detection systems, and climate analysis solutions. Competitive benchmarking illuminates the strengths of market players, emphasizing their unique offerings and regional strengths. Partnerships with research institutions and agricultural organizations are driving innovation.
Introduction to Europe Smart Crop Monitoring Market
The Europe smart crop monitoring market (excluding U.K.) was valued at $1.04 billion in 2023, and it is expected to grow with a CAGR of 16.18% during the forecast period 2023-2028 to reach $2.20 billion by 2028. The increasing demand for optimum crop yields and effective resource usage in agriculture is projected to fuel the expansion of the crop monitoring market. Furthermore, developments in technologies such as AI, machine learning, and remote sensing are projected to drive crop monitoring growth even further.
Market Introduction
Smart crop monitoring is the use of advanced technology such as satellite images, drones, sensors, and data analytics to precisely and efficiently monitor and manage agricultural crops. It entails collecting, analyzing, and interpreting data in real time to optimize many aspects of farming such as irrigation, pest management, fertilizer use, and general crop health. Crop health monitoring enables farmers to make more informed decisions, increase productivity, conserve resources, and implement sustainable agricultural methods, resulting in higher yields and lower environmental impact.
Smart crop scouting and spraying have enormous promise for input optimization and increased crop yields. Farmers may ensure that pesticides and herbicides are used efficiently and effectively by spraying them more precisely, avoiding waste and even improving crop yields.
In response to these problems, demand for smart agricultural monitoring is projected to rise. These technologies can offer farmers with real-time data on crop health and soil conditions, allowing them to apply inputs more precisely and at the right moment. This saves waste while simultaneously improving crop health and production.
Market Segmentation:
Segmentation 1: by Application
- Disease and Pest Detection
- Nutrient Management
- Weed Management
- Crop Insurance
- Others
- Sensor Technology
- Drones
- Robots
- Handheld Devices
- Software and Mobile Applications
- Germany
- France
- Italy
- Spain
- Netherlands
- Belgium
- Switzerland
- Rest-of-Europe
Product/Innovation Strategy: In the realm of smart crop monitoring, technological advancements are transforming agricultural landscapes. Smart crop monitoring solutions utilize diverse technologies such as IoT sensors, drones, and data analytics. These tools offer precise insights into crop health, optimizing irrigation, pest management, and harvest times. Innovations such as satellite imaging and remote sensing provide a holistic view of fields, empowering farmers to make informed decisions. The market encompasses a range of solutions, from real-time monitoring platforms to AI-driven predictive analysis, enabling farmers to enhance productivity and reduce resource wastage significantly.
Growth/Marketing Strategy: The Europe smart crop monitoring market has witnessed remarkable growth strategies by key players. Business expansions, collaborations, and partnerships have been pivotal. Companies are venturing into global markets, forging alliances, and engaging in research collaborations to enhance their technological prowess. Collaborative efforts between tech companies and agricultural experts are driving the development of cutting-edge monitoring tools. Additionally, strategic joint ventures are fostering the integration of diverse expertise, amplifying the market presence of these solutions. This collaborative approach is instrumental in developing comprehensive, user-friendly, and efficient smart crop monitoring systems.
Competitive Strategy: In the competitive landscape of smart crop monitoring, manufacturers are diversifying their product portfolios to cover various crops and farming practices. Market segments include soil analysis tools, disease detection systems, and climate analysis solutions. Competitive benchmarking illuminates the strengths of market players, emphasizing their unique offerings and regional strengths. Partnerships with research institutions and agricultural organizations are driving innovation.
Scope of the Study
Executive Summary
1 MARKETS
1.1 Industry Outlook
1.1.1 Ecosystem/Ongoing Programs
1.1.1.1 Consortiums and Associations
1.1.1.2 Regulatory Bodies
1.1.1.3 Government Initiatives and Impacts
1.2 Business Dynamics
1.2.1 Business Drivers
1.2.1.1 Need for Input Optimization
1.2.1.2 Growth in Farmland Consolidation
1.2.2 Business Challenges
1.2.2.1 Cyber and Online Data Security
1.2.2.2 Lack of Connectivity and Technical Awareness
1.2.3 Business Opportunities
1.2.3.1 Focus on Sustainability
1.2.3.2 Increase in Number of Cooperative Farming
1.2.4 Ongoing Trends
1.2.4.1 Integration with AI and ML
1.2.4.2 Monitoring Technology-as-a-Service (MTaaS)
1.2.5 Market Strategies and Developments
2 REGION
2.1 Europe
2.1.1 Europe (by Country)
2.1.1.1 Germany
2.1.1.2 France
2.1.1.3 Spain
2.1.1.4 Italy
2.1.1.5 Netherlands
2.1.1.6 Switzerland
2.1.1.7 Belgium
2.1.1.8 Rest-of-Europe
2.2 U.K.
3 MARKETS - COMPETITIVE BENCHMARKING & COMPANY PROFILES
3.1 Competitive Benchmarking
3.1.1 Competitive Position Matrix
3.1.2 Market Share Analysis
3.2 Company Profiles
3.2.1 CNH Industrial N.V.
3.2.1.1 Company Overview
3.2.1.1.1 Product and Customer Portfolio Analysis
3.2.2 AGRIVI
3.2.2.1 Company Overview
3.2.2.1.1 Product and Customer Portfolio Analysis
3.2.3 Robert Bosch GmbH
3.2.3.1 Company Overview
3.2.3.1.1 Product and Customer Portfolio Analysis
3.2.4 Airbus
3.2.4.1 Company Overview
3.2.4.1.1 Product and Customer Portfolio Analysis
3.2.5 Small Robot Company
3.2.5.1 Company Overview
3.2.5.1.1 Product and Customer Portfolio Analysis
4 RESEARCH METHODOLOGY
4.1 Data Sources
4.1.1 Primary Data Sources
4.1.2 Secondary Data Sources
4.1.3 Data Triangulation
4.2 Market Estimation and Forecast
Executive Summary
1 MARKETS
1.1 Industry Outlook
1.1.1 Ecosystem/Ongoing Programs
1.1.1.1 Consortiums and Associations
1.1.1.2 Regulatory Bodies
1.1.1.3 Government Initiatives and Impacts
1.2 Business Dynamics
1.2.1 Business Drivers
1.2.1.1 Need for Input Optimization
1.2.1.2 Growth in Farmland Consolidation
1.2.2 Business Challenges
1.2.2.1 Cyber and Online Data Security
1.2.2.2 Lack of Connectivity and Technical Awareness
1.2.3 Business Opportunities
1.2.3.1 Focus on Sustainability
1.2.3.2 Increase in Number of Cooperative Farming
1.2.4 Ongoing Trends
1.2.4.1 Integration with AI and ML
1.2.4.2 Monitoring Technology-as-a-Service (MTaaS)
1.2.5 Market Strategies and Developments
2 REGION
2.1 Europe
2.1.1 Europe (by Country)
2.1.1.1 Germany
2.1.1.2 France
2.1.1.3 Spain
2.1.1.4 Italy
2.1.1.5 Netherlands
2.1.1.6 Switzerland
2.1.1.7 Belgium
2.1.1.8 Rest-of-Europe
2.2 U.K.
3 MARKETS - COMPETITIVE BENCHMARKING & COMPANY PROFILES
3.1 Competitive Benchmarking
3.1.1 Competitive Position Matrix
3.1.2 Market Share Analysis
3.2 Company Profiles
3.2.1 CNH Industrial N.V.
3.2.1.1 Company Overview
3.2.1.1.1 Product and Customer Portfolio Analysis
3.2.2 AGRIVI
3.2.2.1 Company Overview
3.2.2.1.1 Product and Customer Portfolio Analysis
3.2.3 Robert Bosch GmbH
3.2.3.1 Company Overview
3.2.3.1.1 Product and Customer Portfolio Analysis
3.2.4 Airbus
3.2.4.1 Company Overview
3.2.4.1.1 Product and Customer Portfolio Analysis
3.2.5 Small Robot Company
3.2.5.1 Company Overview
3.2.5.1.1 Product and Customer Portfolio Analysis
4 RESEARCH METHODOLOGY
4.1 Data Sources
4.1.1 Primary Data Sources
4.1.2 Secondary Data Sources
4.1.3 Data Triangulation
4.2 Market Estimation and Forecast
LIST OF FIGURES
Figure 1: Factors Affecting Global Crop Production
Figure 2: Smart Monitoring Market, $Billion, 2022-2028
Figure 3: Market Dynamics for Smart Crop Monitoring Market
Figure 4: Smart Crop Monitoring Market (by Application), $Million, 2022-2028
Figure 5: Smart Crop Monitoring Market (by Product), $Million, 2022-2028
Figure 6: Smart Crop Monitoring Market (by Region), 2022
Figure 7: Plant Nutrient Consumption in U.S., 1960-2015
Figure 8: EU Farm and Farmland by Land Size Class, 2018
Figure 9: Cyber Attack Incidents with $1Million+ Reported Losses, 2009-2019
Figure 10: Advantages of AI and ML in Smart Crop Monitoring
Figure 11: Advantages of MTaaS
Figure 12: Share of Key Market Strategies and Developments, 2019-2023
Figure 13: Product Developments and Innovations (by Company)
Figure 14: Partnerships, Collaborations, Joint Ventures, and Alliances
Figure 15: Business Expansions
Figure 16: Mergers and Acquisitions
Figure 17: Competitive Market: High and Low Matrix for Smart Crop Monitoring Market
Figure 18: Market Share Analysis of Smart Crop Monitoring Companies, 2022
Figure 19: CNH Industrial N.V.: Product and Customer Portfolio Analysis
Figure 20: AGRIVI: Product and Customer Portfolio Analysis
Figure 21: Robert Bosch GmbH: Product and Customer Portfolio Analysis
Figure 22: Airbus: Product and Customer Portfolio Analysis
Figure 23: Small Robot Company: Product and Customer Portfolio Analysis
Figure 24: Data Triangulation
Figure 25: Top-Down and Bottom-Up Approach
Figure 26: Assumptions and Limitations
Figure 1: Factors Affecting Global Crop Production
Figure 2: Smart Monitoring Market, $Billion, 2022-2028
Figure 3: Market Dynamics for Smart Crop Monitoring Market
Figure 4: Smart Crop Monitoring Market (by Application), $Million, 2022-2028
Figure 5: Smart Crop Monitoring Market (by Product), $Million, 2022-2028
Figure 6: Smart Crop Monitoring Market (by Region), 2022
Figure 7: Plant Nutrient Consumption in U.S., 1960-2015
Figure 8: EU Farm and Farmland by Land Size Class, 2018
Figure 9: Cyber Attack Incidents with $1Million+ Reported Losses, 2009-2019
Figure 10: Advantages of AI and ML in Smart Crop Monitoring
Figure 11: Advantages of MTaaS
Figure 12: Share of Key Market Strategies and Developments, 2019-2023
Figure 13: Product Developments and Innovations (by Company)
Figure 14: Partnerships, Collaborations, Joint Ventures, and Alliances
Figure 15: Business Expansions
Figure 16: Mergers and Acquisitions
Figure 17: Competitive Market: High and Low Matrix for Smart Crop Monitoring Market
Figure 18: Market Share Analysis of Smart Crop Monitoring Companies, 2022
Figure 19: CNH Industrial N.V.: Product and Customer Portfolio Analysis
Figure 20: AGRIVI: Product and Customer Portfolio Analysis
Figure 21: Robert Bosch GmbH: Product and Customer Portfolio Analysis
Figure 22: Airbus: Product and Customer Portfolio Analysis
Figure 23: Small Robot Company: Product and Customer Portfolio Analysis
Figure 24: Data Triangulation
Figure 25: Top-Down and Bottom-Up Approach
Figure 26: Assumptions and Limitations
LIST OF TABLES
Table 1: Consortiums and Associations
Table 2: Key Regulatory Bodies on the Smart Crop Monitoring Market
Table 3: Government Initiatives and Impacts
Table 1: Consortiums and Associations
Table 2: Key Regulatory Bodies on the Smart Crop Monitoring Market
Table 3: Government Initiatives and Impacts
