Agriculture Technology-as-a-Service Market by Service Type (Data Analytics Services, Farm Management Software Services, IoT Device Monitoring Services), Application (Crop Monitoring, Irrigation Management, Livestock Management), Business Model, End User,
Description
The Agriculture Technology-as-a-Service Market was valued at USD 1.72 billion in 2024 and is projected to grow to USD 1.94 billion in 2025, with a CAGR of 12.90%, reaching USD 4.55 billion by 2032.
Embedding Subscription-Based Technological Solutions into Modern Agriculture to Drive Sustainable Growth and Operational Efficiency Across the Value Chain
The Agriculture Technology-as-a-Service model represents a fundamental shift in how farm operations integrate digital solutions across the entire value chain. As traditional ownership-based investments evolve into subscription and usage-based offerings, growers and agribusinesses can adopt advanced technologies with minimal upfront costs. Data analytics platforms now enable prescriptive recommendations that optimize crop inputs precisely, while farm management software solutions streamline compliance, financial planning, inventory tracking, and workforce coordination. Concurrently, the proliferation of Internet of Things device monitoring services brings real-time sensor data into centralized dashboards, reducing operational waste and conserving precious resources. Beyond these core offerings, precision farming services harness machine learning algorithms to tailor seed placement and fertilizer application, and remote sensing services provide high-resolution aerial and satellite insights that forecast yield variations before they manifest in the field.
This executive summary introduces the principles and opportunities underpinning the Agriculture Technology-as-a-Service paradigm. It outlines the forces reshaping the sector, from digital integration and policy realignments to global trade dynamics. By presenting a clear overview of market shifts and highlighting actionable strategies, this summary is designed to equip executives, investors, and technology providers with the knowledge required to make informed decisions. As you proceed through the transformative shifts, segmentation insights, and regional analyses that follow, you will gain a holistic understanding of the factors enabling sustainable growth and operational resilience in modern agriculture.
Unprecedented Digital Integration and Policy Evolution Reshaping Agricultural Practices and Enabling Data-Driven Decision Making at Farm Gate Levels
Agricultural operations today are experiencing a convergence of digital tools and progressive policy measures that is transforming the very fabric of farm management and supply chain logistics. Initially characterized by pilot projects and stand-alone solutions, the landscape has rapidly evolved into integrated platforms capable of aggregating multi-source data and generating actionable intelligence. In particular, the widespread adoption of Internet of Things sensors across soil moisture probes, weather stations, and livestock monitoring devices has unlocked continuous visibility into environmental conditions and animal health. At the same time, regulatory frameworks are adapting to promote sustainability, providing incentives for precision nitrogen application and water conservation, which in turn accelerates demand for data-driven irrigation management services.
Moreover, machine learning and artificial intelligence have progressed beyond experimental phases to become central pillars of crop monitoring and pest management, identifying stress patterns in plants with unprecedented accuracy. The increasing affordability of drone imaging and satellite-based remote sensing has democratized access to high-resolution images, enabling even small-scale growers to benefit from aerial analytics. As these technological tiers converge, service providers are bundling descriptive, predictive, and prescriptive analytics into comprehensive suites, reducing complexity for end users and driving higher adoption rates. These transformative shifts underscore the necessity for stakeholders to pivot towards scalable, interoperable solutions that can adapt to evolving regulatory and environmental imperatives.
Assessing the Ripple Effects of 2025 US Agricultural Tariffs on Service Providers, Supply Chains, and Adoption of Technology-as-a-Service Models
The introduction of new tariffs on agricultural imports in 2025 has introduced fresh considerations for stakeholders throughout the agtech service ecosystem. By elevating duties on critical components such as high-precision sensors, advanced optics for drones, and specialized software modules from key foreign suppliers, the policy has prompted service providers to re-evaluate global sourcing strategies. In some cases, this has led to a recalibration of pricing models, with subscription plans absorbing a portion of the increased costs to preserve competitive entry points for growers. Meanwhile, domestic manufacturing capacity is receiving renewed attention, as regional hardware vendors expand production capabilities to bridge the supply gap.
Consequently, the tariff-induced adjustments have had ripple effects on total cost of ownership assessments, especially for mid-sized operations that rely on pay-per-use arrangements for remote sensing and predictive analytics. Forward-thinking providers have responded by strengthening local partnerships, leveraging outcome-based contracts to align revenue with customer success metrics. As a result, certain service segments such as precision fertilization and pest management have seen faster recovery due to their direct impact on yield improvement. Looking ahead, the tariff environment is likely to remain a factor in procurement discussions, reinforcing the imperative for agile supply chain configurations and adaptive contractual frameworks that can accommodate policy volatility.
Granular Dissection of Agriculture Technology-as-a-Service Market Through Multi-Dimensional Segmentation and End-User Profiling Insights
A nuanced appreciation of market segmentation reveals the diverse pathways through which technology-as-a-service solutions cater to the agricultural sector. When examining service type, offerings span data analytics services-encompassing descriptive, predictive, and prescriptive modules-as well as farm management software platforms that integrate compliance management, financial tracking, inventory control, and workforce logistics. Complementing these digital suites are Internet of Things device monitoring services that feed continuous telemetry into cloud infrastructures, precision farming services that adjust input variables in real time, and remote sensing services enabling aerial and satellite-based field intelligence. In parallel, applications diverge across core farming processes: advanced crop monitoring leverages drone imaging, ground sensor networks, and satellite feeds, while irrigation management systems optimize water distribution, and dedicated modules address livestock health, pest control, and supply chain transparency.
Business models further differentiate the landscape, with outcome-based contracts linking payments to performance metrics, pay-per-use arrangements providing on-demand service access, and subscription plans offering predictable cost structures. End users range from large agribusiness enterprises to cooperatives and government agencies, as well as individual growers seeking scalable technology integration. Crop type segmentation highlights unique requirements for horticulture, orchard management, row crop operations, and specialty produce, while farm size categories-large, medium, micro, and small-underscore the importance of modular pricing and service customization. These multi-dimensional segmentation insights serve as the foundation for targeted go-to-market strategies and innovation roadmaps.
Regional Variations in Technology-as-a-Service Adoption Demonstrate Divergent Growth Drivers and Infrastructure Readiness Across Major Global Markets
Regional dynamics play a pivotal role in determining both the pace of adoption and the maturity of service ecosystems. In the Americas, robust private investment and a deep network of precision agriculture pioneers drive a vibrant market for data analytics and precision farming services, even as emerging regions seek to replicate these successes. Meanwhile, in Europe, the Middle East & Africa, regulatory emphasis on environmental stewardship and water resource management creates fertile ground for remote sensing and irrigation management solutions, with cooperative funding structures often facilitating pilot deployments. Shifting further east, the Asia-Pacific region exhibits a heterogeneous landscape where densely populated agricultural zones demand compact, affordable IoT monitoring kits, while export-driven nations invest heavily in automation and supply chain traceability to meet stringent overseas quality standards.
Each region’s infrastructure readiness, from broadband connectivity to drone operation permissions, influences how quickly providers can scale. Cross-border knowledge transfer initiatives, such as public–private partnerships and research consortiums, are instrumental in bridging technology gaps. As service providers refine their regional strategies, they must balance centralized platform development with localized customization to address climatic variations, regulatory nuances, and cultural adoption barriers.
Strategic Posture and Innovation Dynamics Among Leading Technology-as-a-Service Providers Delivering Scalable Agricultural Solutions Across Multiple Value Chains
Leading providers are charting distinct strategic courses to establish dominance and foster innovation within the Agriculture Technology-as-a-Service arena. Industry stalwarts such as Deere & Company are expanding their digital portfolios through targeted acquisitions and in-house platform enhancements, while Trimble Inc. leverages its legacy of precision hardware to integrate advanced analytics and remote monitoring services. AGCO Corporation has pursued collaborative ventures that combine machine control with predictive modeling, and Raven Industries has deepened its expertise in application-specific pesticide and nutrient management. Meanwhile, emerging challengers are focusing on niche applications-such as food traceability and microclimate analytics-to differentiate their offerings and address underserved segments.
Across the board, these companies prioritize interoperability and open architecture, enabling seamless data exchange between proprietary modules and third-party solutions. Investment in artificial intelligence and machine learning remains intense, particularly in areas like yield forecasting and disease detection. Strategic partnerships with telecommunications providers, satellite operators, and research institutions further enhance service breadth, ensuring that clients receive holistic solutions rather than disparate point tools. As competitive pressures mount, the ability to curate end-to-end agronomic insights and bundle them into flexible financing arrangements will be a critical differentiator.
Proven Strategic Imperatives for Agricultural Technology-as-a-Service Leaders to Capitalize on Data-Driven Opportunities and Drive Market Expansion
Industry leaders seeking to capitalize on the Agriculture Technology-as-a-Service opportunity should prioritize the development of modular, interoperable platforms that facilitate seamless integration with existing on-farm equipment and third-party data sources. Emphasizing outcome-based service agreements can align provider incentives with client success, fostering deeper relationships and unlocking premium revenue streams linked to yield improvements and resource efficiencies. In parallel, investing in localized service teams and digital on-ramps will accelerate adoption in regions where connectivity constraints or regulatory barriers may impede rapid scaling.
Furthermore, providers must enhance their analytics capabilities by refining predictive algorithms with diverse agronomic datasets, including weather patterns, soil chemistry, and historical yield records. Security and data privacy protocols should be fortified to build trust with end users and comply with evolving compliance regimes. Collaborations with research institutions and technology partners can expedite innovation cycles and facilitate co-development of next-generation offerings, such as real-time disease detection or autonomous equipment coordination. Ultimately, a balanced approach that combines customer-centric contracting, technological versatility, and proactive domain expertise will position organizations to lead in a highly competitive, rapidly evolving market.
Rigorous Multi-Phased Research Framework Integrating Primary Stakeholder Interviews and Comprehensive Secondary Data Analysis for Credible Insights
The research underpinning this analysis follows a rigorous, multi-phased methodology to ensure accuracy, reliability, and relevance. The initial phase entailed an extensive review of publicly available documents, including regulatory filings, white papers, scholarly articles, and industry association reports, which provided context on technological trends, policy developments, and service provider strategies. In the second phase, primary interviews were conducted with a cross-section of stakeholders, encompassing C-suite executives at service providers, farm operators of diverse scales, agribusiness and cooperative leaders, and representatives from equipment manufacturers and government agencies. These discussions yielded qualitative insights into pain points, adoption drivers, and deployment challenges.
Subsequently, data triangulation techniques were employed to reconcile secondary findings with primary feedback, ensuring that emerging themes and segmentation frameworks accurately reflect real-world dynamics. The final validation stage involved iterative reviews with industry experts and an internal advisory panel to refine conclusions and recommendations. This structured approach balances breadth and depth, enabling robust segmentation, precise regional analyses, and actionable guidance for decision-makers.
Synthesis of Agricultural Technology-as-a-Service Trends Underscores Imperative for Agile Adoption and Collaborative Ecosystem Development
Overall, the Agriculture Technology-as-a-Service sector is at an inflection point where the convergence of digital innovation, policy incentives, and evolving business models is creating unprecedented opportunities for value creation. Organizations that embrace subscription-based and outcome-oriented services will enhance their resilience against market volatility, regulatory shifts, and supply chain disruptions. By leveraging granular segmentation insights, stakeholders can craft tailored strategies that resonate with specific end users, crop types, and farm sizes, thereby maximizing return on investment.
Looking ahead, the ability to navigate regional nuances-from infrastructure readiness in the Americas to regulatory ecosystems in Europe, the Middle East & Africa, and the diverse agricultural contexts of Asia-Pacific-will determine which providers emerge as market leaders. As the industry advances, collaboration across the ecosystem-integrating knowledge from equipment manufacturers, input suppliers, data scientists, and policy bodies-will be essential. This synthesis underscores an imperative for agile adoption, continuous innovation, and a collaborative spirit to build a sustainable, technology-driven future for global agriculture.
Market Segmentation & Coverage
This research report categorizes to forecast the revenues and analyze trends in each of the following sub-segmentations:
Service Type
Data Analytics Services
Descriptive Analytics
Predictive Analytics
Prescriptive Analytics
Farm Management Software Services
Compliance Management
Financial Management
Inventory Management
Workforce Management
IoT Device Monitoring Services
Precision Farming Services
Remote Sensing Services
Application
Crop Monitoring
Drone Imaging
Ground Sensors
Satellite Imaging
Irrigation Management
Livestock Management
Pest Management
Supply Chain Management
Business Model
Outcome Based
Pay Per Use
Subscription
End User
Agribusinesses
Cooperatives
Government Agencies
Growers
Crop Type
Horticulture
Orchards
Row Crops
Specialty Crops
Farm Size
Large Farms
Medium Farms
Micro Farms
Small Farms
This research report categorizes to forecast the revenues and analyze trends in each of the following sub-regions:
Americas
North America
United States
Canada
Mexico
Latin America
Brazil
Argentina
Chile
Colombia
Peru
Europe, Middle East & Africa
Europe
United Kingdom
Germany
France
Russia
Italy
Spain
Netherlands
Sweden
Poland
Switzerland
Middle East
United Arab Emirates
Saudi Arabia
Qatar
Turkey
Israel
Africa
South Africa
Nigeria
Egypt
Kenya
Asia-Pacific
China
India
Japan
Australia
South Korea
Indonesia
Thailand
Malaysia
Singapore
Taiwan
This research report categorizes to delves into recent significant developments and analyze trends in each of the following companies:
Deere & Company
Trimble Inc.
AGCO Corporation
CNH Industrial N.V.
Topcon Positioning Systems, Inc.
Hexagon AB
Farmers Edge Inc.
The Climate Corporation
Corteva Agriscience, LLC
Granular, Inc.
Note: PDF & Excel + Online Access - 1 Year
Embedding Subscription-Based Technological Solutions into Modern Agriculture to Drive Sustainable Growth and Operational Efficiency Across the Value Chain
The Agriculture Technology-as-a-Service model represents a fundamental shift in how farm operations integrate digital solutions across the entire value chain. As traditional ownership-based investments evolve into subscription and usage-based offerings, growers and agribusinesses can adopt advanced technologies with minimal upfront costs. Data analytics platforms now enable prescriptive recommendations that optimize crop inputs precisely, while farm management software solutions streamline compliance, financial planning, inventory tracking, and workforce coordination. Concurrently, the proliferation of Internet of Things device monitoring services brings real-time sensor data into centralized dashboards, reducing operational waste and conserving precious resources. Beyond these core offerings, precision farming services harness machine learning algorithms to tailor seed placement and fertilizer application, and remote sensing services provide high-resolution aerial and satellite insights that forecast yield variations before they manifest in the field.
This executive summary introduces the principles and opportunities underpinning the Agriculture Technology-as-a-Service paradigm. It outlines the forces reshaping the sector, from digital integration and policy realignments to global trade dynamics. By presenting a clear overview of market shifts and highlighting actionable strategies, this summary is designed to equip executives, investors, and technology providers with the knowledge required to make informed decisions. As you proceed through the transformative shifts, segmentation insights, and regional analyses that follow, you will gain a holistic understanding of the factors enabling sustainable growth and operational resilience in modern agriculture.
Unprecedented Digital Integration and Policy Evolution Reshaping Agricultural Practices and Enabling Data-Driven Decision Making at Farm Gate Levels
Agricultural operations today are experiencing a convergence of digital tools and progressive policy measures that is transforming the very fabric of farm management and supply chain logistics. Initially characterized by pilot projects and stand-alone solutions, the landscape has rapidly evolved into integrated platforms capable of aggregating multi-source data and generating actionable intelligence. In particular, the widespread adoption of Internet of Things sensors across soil moisture probes, weather stations, and livestock monitoring devices has unlocked continuous visibility into environmental conditions and animal health. At the same time, regulatory frameworks are adapting to promote sustainability, providing incentives for precision nitrogen application and water conservation, which in turn accelerates demand for data-driven irrigation management services.
Moreover, machine learning and artificial intelligence have progressed beyond experimental phases to become central pillars of crop monitoring and pest management, identifying stress patterns in plants with unprecedented accuracy. The increasing affordability of drone imaging and satellite-based remote sensing has democratized access to high-resolution images, enabling even small-scale growers to benefit from aerial analytics. As these technological tiers converge, service providers are bundling descriptive, predictive, and prescriptive analytics into comprehensive suites, reducing complexity for end users and driving higher adoption rates. These transformative shifts underscore the necessity for stakeholders to pivot towards scalable, interoperable solutions that can adapt to evolving regulatory and environmental imperatives.
Assessing the Ripple Effects of 2025 US Agricultural Tariffs on Service Providers, Supply Chains, and Adoption of Technology-as-a-Service Models
The introduction of new tariffs on agricultural imports in 2025 has introduced fresh considerations for stakeholders throughout the agtech service ecosystem. By elevating duties on critical components such as high-precision sensors, advanced optics for drones, and specialized software modules from key foreign suppliers, the policy has prompted service providers to re-evaluate global sourcing strategies. In some cases, this has led to a recalibration of pricing models, with subscription plans absorbing a portion of the increased costs to preserve competitive entry points for growers. Meanwhile, domestic manufacturing capacity is receiving renewed attention, as regional hardware vendors expand production capabilities to bridge the supply gap.
Consequently, the tariff-induced adjustments have had ripple effects on total cost of ownership assessments, especially for mid-sized operations that rely on pay-per-use arrangements for remote sensing and predictive analytics. Forward-thinking providers have responded by strengthening local partnerships, leveraging outcome-based contracts to align revenue with customer success metrics. As a result, certain service segments such as precision fertilization and pest management have seen faster recovery due to their direct impact on yield improvement. Looking ahead, the tariff environment is likely to remain a factor in procurement discussions, reinforcing the imperative for agile supply chain configurations and adaptive contractual frameworks that can accommodate policy volatility.
Granular Dissection of Agriculture Technology-as-a-Service Market Through Multi-Dimensional Segmentation and End-User Profiling Insights
A nuanced appreciation of market segmentation reveals the diverse pathways through which technology-as-a-service solutions cater to the agricultural sector. When examining service type, offerings span data analytics services-encompassing descriptive, predictive, and prescriptive modules-as well as farm management software platforms that integrate compliance management, financial tracking, inventory control, and workforce logistics. Complementing these digital suites are Internet of Things device monitoring services that feed continuous telemetry into cloud infrastructures, precision farming services that adjust input variables in real time, and remote sensing services enabling aerial and satellite-based field intelligence. In parallel, applications diverge across core farming processes: advanced crop monitoring leverages drone imaging, ground sensor networks, and satellite feeds, while irrigation management systems optimize water distribution, and dedicated modules address livestock health, pest control, and supply chain transparency.
Business models further differentiate the landscape, with outcome-based contracts linking payments to performance metrics, pay-per-use arrangements providing on-demand service access, and subscription plans offering predictable cost structures. End users range from large agribusiness enterprises to cooperatives and government agencies, as well as individual growers seeking scalable technology integration. Crop type segmentation highlights unique requirements for horticulture, orchard management, row crop operations, and specialty produce, while farm size categories-large, medium, micro, and small-underscore the importance of modular pricing and service customization. These multi-dimensional segmentation insights serve as the foundation for targeted go-to-market strategies and innovation roadmaps.
Regional Variations in Technology-as-a-Service Adoption Demonstrate Divergent Growth Drivers and Infrastructure Readiness Across Major Global Markets
Regional dynamics play a pivotal role in determining both the pace of adoption and the maturity of service ecosystems. In the Americas, robust private investment and a deep network of precision agriculture pioneers drive a vibrant market for data analytics and precision farming services, even as emerging regions seek to replicate these successes. Meanwhile, in Europe, the Middle East & Africa, regulatory emphasis on environmental stewardship and water resource management creates fertile ground for remote sensing and irrigation management solutions, with cooperative funding structures often facilitating pilot deployments. Shifting further east, the Asia-Pacific region exhibits a heterogeneous landscape where densely populated agricultural zones demand compact, affordable IoT monitoring kits, while export-driven nations invest heavily in automation and supply chain traceability to meet stringent overseas quality standards.
Each region’s infrastructure readiness, from broadband connectivity to drone operation permissions, influences how quickly providers can scale. Cross-border knowledge transfer initiatives, such as public–private partnerships and research consortiums, are instrumental in bridging technology gaps. As service providers refine their regional strategies, they must balance centralized platform development with localized customization to address climatic variations, regulatory nuances, and cultural adoption barriers.
Strategic Posture and Innovation Dynamics Among Leading Technology-as-a-Service Providers Delivering Scalable Agricultural Solutions Across Multiple Value Chains
Leading providers are charting distinct strategic courses to establish dominance and foster innovation within the Agriculture Technology-as-a-Service arena. Industry stalwarts such as Deere & Company are expanding their digital portfolios through targeted acquisitions and in-house platform enhancements, while Trimble Inc. leverages its legacy of precision hardware to integrate advanced analytics and remote monitoring services. AGCO Corporation has pursued collaborative ventures that combine machine control with predictive modeling, and Raven Industries has deepened its expertise in application-specific pesticide and nutrient management. Meanwhile, emerging challengers are focusing on niche applications-such as food traceability and microclimate analytics-to differentiate their offerings and address underserved segments.
Across the board, these companies prioritize interoperability and open architecture, enabling seamless data exchange between proprietary modules and third-party solutions. Investment in artificial intelligence and machine learning remains intense, particularly in areas like yield forecasting and disease detection. Strategic partnerships with telecommunications providers, satellite operators, and research institutions further enhance service breadth, ensuring that clients receive holistic solutions rather than disparate point tools. As competitive pressures mount, the ability to curate end-to-end agronomic insights and bundle them into flexible financing arrangements will be a critical differentiator.
Proven Strategic Imperatives for Agricultural Technology-as-a-Service Leaders to Capitalize on Data-Driven Opportunities and Drive Market Expansion
Industry leaders seeking to capitalize on the Agriculture Technology-as-a-Service opportunity should prioritize the development of modular, interoperable platforms that facilitate seamless integration with existing on-farm equipment and third-party data sources. Emphasizing outcome-based service agreements can align provider incentives with client success, fostering deeper relationships and unlocking premium revenue streams linked to yield improvements and resource efficiencies. In parallel, investing in localized service teams and digital on-ramps will accelerate adoption in regions where connectivity constraints or regulatory barriers may impede rapid scaling.
Furthermore, providers must enhance their analytics capabilities by refining predictive algorithms with diverse agronomic datasets, including weather patterns, soil chemistry, and historical yield records. Security and data privacy protocols should be fortified to build trust with end users and comply with evolving compliance regimes. Collaborations with research institutions and technology partners can expedite innovation cycles and facilitate co-development of next-generation offerings, such as real-time disease detection or autonomous equipment coordination. Ultimately, a balanced approach that combines customer-centric contracting, technological versatility, and proactive domain expertise will position organizations to lead in a highly competitive, rapidly evolving market.
Rigorous Multi-Phased Research Framework Integrating Primary Stakeholder Interviews and Comprehensive Secondary Data Analysis for Credible Insights
The research underpinning this analysis follows a rigorous, multi-phased methodology to ensure accuracy, reliability, and relevance. The initial phase entailed an extensive review of publicly available documents, including regulatory filings, white papers, scholarly articles, and industry association reports, which provided context on technological trends, policy developments, and service provider strategies. In the second phase, primary interviews were conducted with a cross-section of stakeholders, encompassing C-suite executives at service providers, farm operators of diverse scales, agribusiness and cooperative leaders, and representatives from equipment manufacturers and government agencies. These discussions yielded qualitative insights into pain points, adoption drivers, and deployment challenges.
Subsequently, data triangulation techniques were employed to reconcile secondary findings with primary feedback, ensuring that emerging themes and segmentation frameworks accurately reflect real-world dynamics. The final validation stage involved iterative reviews with industry experts and an internal advisory panel to refine conclusions and recommendations. This structured approach balances breadth and depth, enabling robust segmentation, precise regional analyses, and actionable guidance for decision-makers.
Synthesis of Agricultural Technology-as-a-Service Trends Underscores Imperative for Agile Adoption and Collaborative Ecosystem Development
Overall, the Agriculture Technology-as-a-Service sector is at an inflection point where the convergence of digital innovation, policy incentives, and evolving business models is creating unprecedented opportunities for value creation. Organizations that embrace subscription-based and outcome-oriented services will enhance their resilience against market volatility, regulatory shifts, and supply chain disruptions. By leveraging granular segmentation insights, stakeholders can craft tailored strategies that resonate with specific end users, crop types, and farm sizes, thereby maximizing return on investment.
Looking ahead, the ability to navigate regional nuances-from infrastructure readiness in the Americas to regulatory ecosystems in Europe, the Middle East & Africa, and the diverse agricultural contexts of Asia-Pacific-will determine which providers emerge as market leaders. As the industry advances, collaboration across the ecosystem-integrating knowledge from equipment manufacturers, input suppliers, data scientists, and policy bodies-will be essential. This synthesis underscores an imperative for agile adoption, continuous innovation, and a collaborative spirit to build a sustainable, technology-driven future for global agriculture.
Market Segmentation & Coverage
This research report categorizes to forecast the revenues and analyze trends in each of the following sub-segmentations:
Service Type
Data Analytics Services
Descriptive Analytics
Predictive Analytics
Prescriptive Analytics
Farm Management Software Services
Compliance Management
Financial Management
Inventory Management
Workforce Management
IoT Device Monitoring Services
Precision Farming Services
Remote Sensing Services
Application
Crop Monitoring
Drone Imaging
Ground Sensors
Satellite Imaging
Irrigation Management
Livestock Management
Pest Management
Supply Chain Management
Business Model
Outcome Based
Pay Per Use
Subscription
End User
Agribusinesses
Cooperatives
Government Agencies
Growers
Crop Type
Horticulture
Orchards
Row Crops
Specialty Crops
Farm Size
Large Farms
Medium Farms
Micro Farms
Small Farms
This research report categorizes to forecast the revenues and analyze trends in each of the following sub-regions:
Americas
North America
United States
Canada
Mexico
Latin America
Brazil
Argentina
Chile
Colombia
Peru
Europe, Middle East & Africa
Europe
United Kingdom
Germany
France
Russia
Italy
Spain
Netherlands
Sweden
Poland
Switzerland
Middle East
United Arab Emirates
Saudi Arabia
Qatar
Turkey
Israel
Africa
South Africa
Nigeria
Egypt
Kenya
Asia-Pacific
China
India
Japan
Australia
South Korea
Indonesia
Thailand
Malaysia
Singapore
Taiwan
This research report categorizes to delves into recent significant developments and analyze trends in each of the following companies:
Deere & Company
Trimble Inc.
AGCO Corporation
CNH Industrial N.V.
Topcon Positioning Systems, Inc.
Hexagon AB
Farmers Edge Inc.
The Climate Corporation
Corteva Agriscience, LLC
Granular, Inc.
Note: PDF & Excel + Online Access - 1 Year
Table of Contents
189 Pages
- 1. Preface
- 1.1. Objectives of the Study
- 1.2. Market Segmentation & Coverage
- 1.3. Years Considered for the Study
- 1.4. Currency & Pricing
- 1.5. Language
- 1.6. Stakeholders
- 2. Research Methodology
- 3. Executive Summary
- 4. Market Overview
- 5. Market Insights
- 5.1. Integration of AI-driven pest detection systems for proactive disease management in crops
- 5.2. Scaling modular vertical farming solutions with IoT-enabled climate control across urban centers
- 5.3. Deployment of subscription-based precision irrigation platforms optimizing water usage
- 5.4. Utilization of blockchain traceability networks connecting farm-to-consumer supply chains
- 5.5. Expansion of autonomous drone fleets providing multispectral imaging and spraying services
- 5.6. Implementation of soil health monitoring subscriptions using sensor networks and data analytics
- 5.7. Development of agronomic insights platforms leveraging machine learning for yield prediction
- 5.8. Partnerships between agritech SaaS providers and financial institutions for crop financing tools
- 6. Cumulative Impact of United States Tariffs 2025
- 7. Cumulative Impact of Artificial Intelligence 2025
- 8. Agriculture Technology-as-a-Service Market, by Service Type
- 8.1. Data Analytics Services
- 8.1.1. Descriptive Analytics
- 8.1.2. Predictive Analytics
- 8.1.3. Prescriptive Analytics
- 8.2. Farm Management Software Services
- 8.2.1. Compliance Management
- 8.2.2. Financial Management
- 8.2.3. Inventory Management
- 8.2.4. Workforce Management
- 8.3. IoT Device Monitoring Services
- 8.4. Precision Farming Services
- 8.5. Remote Sensing Services
- 9. Agriculture Technology-as-a-Service Market, by Application
- 9.1. Crop Monitoring
- 9.1.1. Drone Imaging
- 9.1.2. Ground Sensors
- 9.1.3. Satellite Imaging
- 9.2. Irrigation Management
- 9.3. Livestock Management
- 9.4. Pest Management
- 9.5. Supply Chain Management
- 10. Agriculture Technology-as-a-Service Market, by Business Model
- 10.1. Outcome Based
- 10.2. Pay Per Use
- 10.3. Subscription
- 11. Agriculture Technology-as-a-Service Market, by End User
- 11.1. Agribusinesses
- 11.2. Cooperatives
- 11.3. Government Agencies
- 11.4. Growers
- 12. Agriculture Technology-as-a-Service Market, by Crop Type
- 12.1. Horticulture
- 12.2. Orchards
- 12.3. Row Crops
- 12.4. Specialty Crops
- 13. Agriculture Technology-as-a-Service Market, by Farm Size
- 13.1. Large Farms
- 13.2. Medium Farms
- 13.3. Micro Farms
- 13.4. Small Farms
- 14. Agriculture Technology-as-a-Service Market, by Region
- 14.1. Americas
- 14.1.1. North America
- 14.1.2. Latin America
- 14.2. Europe, Middle East & Africa
- 14.2.1. Europe
- 14.2.2. Middle East
- 14.2.3. Africa
- 14.3. Asia-Pacific
- 15. Agriculture Technology-as-a-Service Market, by Group
- 15.1. ASEAN
- 15.2. GCC
- 15.3. European Union
- 15.4. BRICS
- 15.5. G7
- 15.6. NATO
- 16. Agriculture Technology-as-a-Service Market, by Country
- 16.1. United States
- 16.2. Canada
- 16.3. Mexico
- 16.4. Brazil
- 16.5. United Kingdom
- 16.6. Germany
- 16.7. France
- 16.8. Russia
- 16.9. Italy
- 16.10. Spain
- 16.11. China
- 16.12. India
- 16.13. Japan
- 16.14. Australia
- 16.15. South Korea
- 17. Competitive Landscape
- 17.1. Market Share Analysis, 2024
- 17.2. FPNV Positioning Matrix, 2024
- 17.3. Competitive Analysis
- 17.3.1. Deere & Company
- 17.3.2. Trimble Inc.
- 17.3.3. AGCO Corporation
- 17.3.4. CNH Industrial N.V.
- 17.3.5. Topcon Positioning Systems, Inc.
- 17.3.6. Hexagon AB
- 17.3.7. Farmers Edge Inc.
- 17.3.8. The Climate Corporation
- 17.3.9. Corteva Agriscience, LLC
- 17.3.10. Granular, Inc.
Pricing
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