Description
Introduction to Satellite Imaging for Agriculture Market
The global satellite imaging for agriculture market was valued at $516.1 million in 2022, and it is expected to grow with a CAGR of 7.50% during the forecast period 2023-2028 to reach $785.3 million by 2028. The growth in the global satellite imaging for agriculture technology market is expected to be driven by the increasing need for efficient and sustainable agriculture practices.
Market Introduction
Satellite-based agricultural imaging refers to the utilization of satellite-derived data for remote monitoring, management, and control of crop conditions, soil quality, and other agricultural parameters. Through the analysis of satellite imagery, farmers can assess soil characteristics, track crop health, and identify susceptibility to diseases, pests, and other risks.
The integration of satellite imaging into precision agriculture practices has significantly enhanced sustainability and intelligence in the field. Recognizing the potential of satellite imaging in agriculture, the United Nations Food and Agriculture Organization (FAO) acknowledges the need for improved management of global agricultural resources, especially in developing nations.
Industrial Impact
In the agricultural domain, satellite imagery can be integrated with a range of complementary technologies to facilitate the monitoring and management of agricultural resources. The combination of global positioning system (GPS) technology and satellite image distribution enables researchers and farmers to effectively track and oversee agricultural activities.
High-resolution satellite technologies provide crucial information for achieving profitability, efficiency, and sustainability in farming practices. Remote sensing using unmanned aerial vehicles (UAVs) for image capture, processing, and analysis has significantly impacted the agricultural sector. By combining these technologies with satellite imagery, farmers can enhance their overall agricultural operations.
The global market for satellite imaging technology in agriculture is set to benefit significantly from the advancement of small satellite constellations. These constellations consist of multiple compact satellites working collaboratively to provide high-resolution and high-frequency satellite services, delivering crucial information for achieving profitable, efficient, and sustainable agricultural practices.
In comparison to traditional satellite systems, small satellite constellations offer notable advantages, including cost reduction, shorter revisit intervals, and enhanced image resolution. These factors have substantially improved farmers’ accessibility to satellite imagery, enabling its integration into sustainable farming methods and precision agriculture.
In the global market for satellite imaging in agriculture, companies are proactively employing knowledge-driven strategies and technological innovations to establish themselves as market leaders. By adopting effective business or corporate strategies, these companies aim to maintain their relevance in the market and identify opportunities for growth. They strive to gain a competitive edge by implementing efficient business or corporate strategies that contribute to long-term profitability and ensure their future success.
Impact of the Russia-Ukraine Crisis
The conflict in Ukraine has heightened awareness regarding the use of satellite imagery to track crop losses and assess the impact of the war on food production. High-resolution satellite imagery has shed light on the attacks on Ukraine’s agricultural sector, underscoring the importance of monitoring the effects of armed conflict on farming.
NASA’s Harvest program has leveraged satellite imagery to provide valuable insights into the wheat harvest in Ukraine, particularly in the season following Russia’s invasion. The availability of commercial satellite data during conflicts proves instrumental in planning and mitigating food shortages, as demonstrated in the Ukraine crisis. Experts are increasingly recognizing the indispensable role of satellite imagery in tracking the influence of conflict on agriculture and ensuring effective response strategies.
Market Segmentation:
Segmentation 1: by Application
• Crop Health Monitoring
• Soil Mapping
• Forestry
• Others
Crop Health Monitoring to Continue its Dominance as the Leading Application Segment
The satellite imaging for agriculture market is led by the crop health monitoring segment, with a 41.1% share in 2022. Satellite imagery plays a pivotal role in the monitoring of crop health, enabling precise digital agriculture practices and large-scale pest detection. It empowers farmers and agronomists to monitor and optimize crop health and assess variations in yield on a seasonal basis.
By integrating satellite imagery with various datasets such as disease and pest models, yield maps, pest monitoring, and fertilization maps, a comprehensive crop monitoring system can be established. For example, in India, agri-traders have gained a competitive edge by estimating wheat yields at a state level 30 days prior to harvest, enabling informed decision-making regarding procurement and storage strategies.
By providing detailed imagery of remote areas, satellite imagery is providing researchers with the data they need to create accurate soil maps for areas that may otherwise have remained unmapped.
Satellite imagery is proving an effective tool that meets forestry management and research needs for cost-effective, up-to-date information on the status of forest resources. Scientists, governments, and non-governmental organizations have turned to satellite data to track deforestation, as well as to set targets for improvement. By providing a more comprehensive view of animal movements, this technology is allowing conservationists to better understand and protect migratory species.
Satellite imaging can be used to monitor carbon emissions, including those from forests and cities, in near-real-time through the integration of data from multiple satellites. Additionally, satellite imaging can be used to monitor weather patterns and changes, which can impact carbon sequestration and emissions.
Segmentation 2: by End User
• Agribusinesses
• Government and Non-Government Agencies
• Research Institutes
• Others
Agribusiness to Witness the Highest Growth between 2022 and 2028
The satellite imaging for agriculture market was dominated by the agribusiness segment in 2022 with a 66.6% share. Satellite image and remote sensing technology are improving every day, assisting farm managers and modern farmers in keeping track of conditions and monitoring growth, weather, and carbon. As the farms grow bigger in size, the satellite images give relevant data with newfound ease and surprising accuracy. They can help managers demonstrate their conservation and management efforts in an easily understandable and visually appealing way.
Governments and NGOs frequently use satellite images to analyze patterns of land use and plan for agricultural development, conservation, and other land use activities.
Crop models, which are mathematical representations of crop growth, yield, and response to environmental factors, can be developed and validated using satellite images. Researchers use these models to improve their understanding of crop biology and to create new crop varieties and management techniques.
More significant corporate players are searching for opportunities to buy and lease out various farming operations across the nation. Understanding historical management and conditions is crucial to these decisions, which has been made possible by satellite imagery and other remote sensing products. As a result, one can use the strength of time-series satellite imagery and remote sensing products to combine the expertise of farmers and farm managers with satellite data to tell a complete history of the farm and inspire confidence in the operation’s capability in investors.
Segmentation 3: by Product
• Data Acquisition
• Processing
• Analytics
• Integrated Delivery Platform
Integrated Delivery Platform to Witness the Highest Growth between 2022 and 2028
The satellite imaging for agriculture market is estimated to be led by the integrated delivery platform, and it held a share of 45.2% in 2022. For further use in analytics, acquired raw data must be processed to remove distortions (such as geographic, radiometric, and radiometric). Additionally, predefined coordinates and sensor specifications are followed when acquiring data. In order to interpret and analyze the data, the sensors gather the radiance and further process it into raw images. The various algorithms used in the geospatial analytics process integrate the various data and provide useful insights.
A significant constraint is developing a platform that can streamline communications between these systems and exchange mission-critical data continuously by integrating data from all applications, databases, and users.
Segmentation 4: by Region
• North America – U.S., Canada, and Mexico
• Europe – Germany, France, Italy, Netherlands, Switzerland, Belgium, Spain, and Rest-of-Europe
• China
• U.K.
• Asia-Pacific – Japan, India, South Korea, Australia and New Zealand, and Rest-of-Asia-Pacific
• South America – Argentina, Brazil, and Rest-of-South America
• Middle East and Africa – South Africa, Turkey, Israel, and Rest-of-Middle East and Africa
North America, Europe, and the U.K. are the primary regions contributing to the global satellite imaging for agriculture market, and they collectively accounted for around 59% of the market share in 2022. The utilization of satellite imaging for precise crop health monitoring and pest detection is a key factor driving market growth in these regions. Asia-Pacific, including China, is gradually adopting satellite imaging for agriculture, supported by increasing research and development activities, experimental field studies, and government initiatives.
In the Middle East and Africa, the adoption of satellite imaging for agriculture is increasing due to technical training programs offered to farmers for adopting advanced precision agricultural technologies. In South America, the demand for food production with efficient input utilization and the emergence of start-ups are driving the adoption of satellite imaging for agriculture.
Recent Developments in the Satellite Imaging for Agriculture Market
• On March 2023, Esri partnered with Pollen Systems Corporation. Growers can manage their operations and make data-driven decisions by integrating geospatial data from various sources and gaining insights into the environmental and social impacts of their operations owing to the integration of PrecisionView Mobile with Esri’s ArcGIS platform.
• On March 2023, Satellogic partnered with SKYFI. Further democratizing geospatial data, the integration would increase users’ access to Satellogic’s Earth observation data.
• On March 2023, to broaden its data analysis platform and give its clients more insightful data, Planet Labs PBC acquired Sinergise.
• On March 2023, one of the first 30 cm HD global imagery base maps was produced by Maxar Technologies using more than 400,000 high-resolution satellite photos. It can be applied as a visually appealing contextual overlay as well as for extracting and recognizing features, making maps, producing 3D data for simulations, and more.
Demand – Drivers and Limitations
Market Demand Drivers:
Increasing Requirements from the Insurance Sector
In the realm of payment claims management, crop insurance companies are progressively incorporating satellite imagery as a valuable tool to assess the magnitude and extent of crop damage. An accurate and unbiased view of a crop’s status and potential can be obtained from satellite imagery, which can assist insurers in making more informed choices regarding crop insurance claims.
Increasing Farm Consolidation
The proliferation of satellite imagery in agricultural applications is projected to surge in response to the growing trend of farm consolidation. As farms expand in size, the integration of remote sensing technology would enable managers to effectively monitor various aspects such as growth, weather conditions, and other relevant factors. Moreover, identifying underutilized or suboptimal areas would empower farmers to consolidate these areas and increase overall productivity and operational efficiency.
High Benefits over Other Remote Sensing Technology and Infield Monitoring Technology
By incorporating satellite data into sophisticated algorithms, it is also possible to measure a variety of characteristics, including yield and crop growth stage, using satellite imagery. Satellite imagery can also aid farmers in understanding a variety of farming-related issues, such as areas that require more or less irrigation, the areas where their livestock graze, where to apply fertilizer, and the effects of changing weather patterns.
Need for Sustainable Agriculture Practices
In several ways, satellite imagery in agriculture supports the need for sustainable agricultural practices. First, crop health and growth rates can be tracked using satellite imagery, which can assist farmers in maximizing inputs and minimizing the use of pesticides and fertilizers. Second, land use and changes in vegetation cover can be tracked using satellite imagery, which can be used by farmers to identify underutilized or underused land. Deforestation and other types of land-use changes may not be as necessary as a result of more effective land use.
Market Challenges:
Technical Challenges in Obtaining and Analyzing Satellite Imagery
Even though satellite imagery has long been used in the agriculture industry, many developing nations still lack knowledge and understanding of the technology. This ignorance and lack of understanding may limit the use of satellite imagery in agriculture and prevent farmers from benefiting from its advantages. Although satellite imagery offers data for agricultural practices, crop types, and the corresponding outcome variables over lengthy time periods, farmers in developing nations might lack the technical know-how or expertise to effectively access and use the data.
Geopolitical Issues
High-resolution satellite imagery is restricted from being accessed for agricultural purposes due to national security, political, and privacy concerns, among other geopolitical issues. Additionally, some nations might not have the resources or infrastructure necessary to access and use satellite imagery efficiently, which can restrict the extent to which farmers in those nations can take advantage of satellite imagery’s advantages in agriculture.
Limited Understanding and Awareness Across Developing Countries
Israel and the U.S. are two nations that limit access to high-resolution satellite imagery. While access to high-resolution satellite imagery in Israel has historically been constrained due to national security concerns, production of satellite imagery with a resolution finer than 0.31 m is prohibited in the U.S.
Market Opportunities:
Rising Threat of Climate Risk
Satellite imagery is employed to tackle climate risks in agriculture. It aids in precision agriculture, enabling farmers to manage their environment sustainably. Remote sensing combines satellite data with field samples for a comprehensive agricultural landscape overview. Decision-makers can utilize satellite data for climate-sensitive matters like land use and water management.
Artificial Intelligence and Machine Learning in Action
By advancing crop production, raising agricultural efficiencies, enhancing crop yields, and cutting costs associated with food production, AI and ML are revolutionizing satellite imagery in agriculture. In order to predict crop yields, ML analyzes sensor data and historical trends, aiding farmers in the practice of precision farming. To help farmers monitor, manage, and protect crops from extreme weather conditions, diseases, pests, and other threats, satellite imagery can be combined with other cutting-edge solutions, such as the Internet of Things.
Tapping Small Holding Farmers with Affordable Solutions
The free use of satellite imagery on services such as Amazon Web Services (AWS) is one of the cost-effective solutions offered to smallholder farmers by satellite imaging. This can improve efficiency and help farmers conserve water and fertilizer. Additionally, utilizing satellite data and machine learning can promote smallholder farmers’ financial inclusion. Farmers can inform their decision-making for improving crop production and revenue while reducing environmental impact by using precision agriculture, which is based on intensive data collection with local sensor-based technology and remotely sensed imagery. Smallholder farmers need an ecosystem of contextually relevant software applications, though, in order to truly benefit from these advancements.
How Can This Report Add Value to an Organization?
Product/Innovation Strategy: The product segment helps the reader understand the different technologies used for satellite imaging for agriculture and their potential globally. Moreover, the study gives the reader a detailed understanding of the different solutions provided by the satellite imaging technology providers, such as imaging, processing, and analyzing. Compared to conventional agricultural methods, satellite imaging technology enables more exact targeting of planting, soil mapping, and forestry, allowing farmers to save money by maximizing the use of their inputs.
Growth/Marketing Strategy: The global satellite imaging for agriculture market has seen major development by key players operating in the market, such as business expansion, partnership, collaboration, and joint venture. The favored strategy for the companies has been partnerships, collaborations, and joint ventures to strengthen their position in the global satellite imaging for agriculture market. For instance, on March 2023, Satellogic partnered with SKYFI to further democratize geospatial data. The integration would increase users’ access to Satellogic’s Earth observation data.
Competitive Strategy: Key players in the global satellite imaging for agriculture market analyzed and profiled in the study involve satellite imaging technology-based product manufacturers, including market segments covered by distinct product kinds, applications served, and regional presence, as well as the influence of important market tactics employed. Moreover, a detailed competitive benchmarking of the players operating in the global satellite imaging for agriculture market has been done to help the reader understand how players stack against each other, presenting a clear market landscape. Additionally, comprehensive competitive strategies such as partnerships, agreements, and collaborations will aid the reader in understanding the untapped revenue pockets in the market.
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.
The top leading players include the public companies operating in the global satellite imaging for agriculture market, which had a market share of around 62% in 2021. The rest of the market share, 38%, was taken by the private and start-up companies.
Key Companies Profiled
Company Type 1: Public Companies
• Airbus
• Farmers Edge Inc
• Planet Labs PBC
• Satellogic
• Syngenta
• Maxar Technologies
Company Type 2: Private Companies
• Descartes Labs, Inc
• EOS Data Analytics,Inc
• Esri
• European Space Imaging
• Gamaya
• ICEYE
• NaraSpace Inc
• Open Cosmos Ltd
• Satellite Imaging Corporation
• SkyWatch
• SpaceKnow Inc.
• EarthDaily Analytics
• SatSure
• SpaceSense
• Synspective
Table of Contents
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
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
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
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