Precision Farming Software Market by Component (Services, Software Platform), Deployment Mode (Cloud Based, On Premise), Farm Size, Application, End User - Global Forecast 2025-2032
Description
The Precision Farming Software Market was valued at USD 9.67 billion in 2024 and is projected to grow to USD 10.39 billion in 2025, with a CAGR of 8.36%, reaching USD 18.39 billion by 2032.
How integrated sensing, analytics, and interoperable architectures are redefining decision workflows and operational performance in modern agricultural enterprises
The convergence of advanced sensing, data analytics, and automated farm systems is transforming how agricultural decisions are made and executed. Precision farming software now plays a central role in orchestrating operations that once relied on intuition and fragmented records. By integrating satellite and drone imagery with in‑field sensor telemetry, software platforms create a continuous feedback loop that elevates situational awareness across the production cycle.
Today’s stakeholders demand platforms that do more than record data; they require solutions that synthesize heterogeneous inputs into actionable guidance, adapt to farm scale and crop type, and interoperate with existing machinery and enterprise systems. As a result, product roadmaps increasingly favor modular architectures, open APIs, and interoperable standards that reduce integration friction. This shift enables agronomists, farm managers, and service providers to deploy capabilities faster and iterate on workflows with measurable outcomes. In turn, this evolution is reshaping vendor value propositions and buyer expectations alike.
Emerging technological, sustainability, and partnership trends driving rapid evolution of software offerings and buyer expectations across agricultural operations
Several transformative shifts are converging to change the competitive landscape and the adoption curve for precision farming software. Advances in machine learning and edge computing are enabling near‑real‑time decision support at field scale, reducing latency between observation and action. At the same time, hardware commoditization has lowered the entry barrier for deploying remote sensing and soil monitoring networks, which expands the addressable base of digitally enabled farms.
Concurrently, there is growing emphasis on sustainability metrics and traceability across supply chains, which is incentivizing adoption of software that can capture and certify agronomic practices. Strategic partnerships between platform providers, equipment manufacturers, and agribusinesses are also becoming more prevalent, reflecting a shift from standalone point solutions to ecosystem plays. These developments collectively pressure vendors to offer not only analytic capability but also services and integration that drive demonstrable agronomic and operational outcomes.
Observed commercial and supply chain adjustments triggered by United States tariff policy changes in 2025 and their implications for procurement and vendor strategies
Recent tariff changes implemented in 2025 by the United States have produced tangible effects across the global precision agriculture supply chain, altering procurement patterns and supplier strategies. Tariffs on selected electronic components, agricultural machinery imports, and certain software‑related hardware have increased landed costs for integrated solutions, prompting buyers to reassess vendor selection criteria and prioritize local sourcing where feasible. This has accelerated vendor efforts to regionalize supply chains and to qualify alternative component suppliers to mitigate exposure to tariff volatility.
In addition, service models have adapted as providers shift more functionality to cloud and subscription delivery to offset capital cost pressures and to preserve predictable total cost of ownership for customers. Software vendors and integrators have also doubled down on certification and compliance offerings to help customers navigate import duties and regulatory complexities, which has increased demand for procurement advisory and implementation services. Consequently, strategic alliances and regional partnerships have become more important as both vendors and buyers seek to protect margin and maintain deployment velocity in the face of trade policy uncertainty.
Detailed segmentation analysis exposing distinct functional priorities, deployment preferences, farm scale dynamics, and end‑user use cases that shape product adoption and monetization paths
A granular segmentation framework reveals nuanced adoption patterns across functionality, technology architecture, deployment preferences, farm scale, and end‑user profiles. Based on application, adoption trends diverge between use cases such as crop scouting, farm management systems, fertilizer management, field mapping, irrigation management, pest and disease management, variable rate application, weather forecasting, and yield monitoring, each of which carries distinct data, integration, and user experience requirements. Based on component, the market differentiates between services and software platforms, with services encompassing consulting, implementation, and support and maintenance, and software platforms spanning desktop, mobile, and web interfaces that determine how users interact with insights. Based on deployment mode, buyer preferences split between cloud‑based and on‑premise architectures, influenced by connectivity, data sovereignty, and integration needs. Based on farm size, large, medium, and small operations exhibit different purchasing processes, investment horizons, and expectations for customization versus out‑of‑the‑box functionality. Based on end user, the profile of fruit growers, grain growers, livestock farmers, and vegetable growers guides feature prioritization, with each segment emphasizing specific sensor suites, analytics, and regulatory compliance features.
Understanding these segment distinctions is essential for product managers and commercial teams because feature prioritization, go‑to‑market messaging, and pricing must be aligned to the operational realities of the target customer. For example, mobile‑first interfaces and simplified workflows resonate strongly with small and medium farms that favor rapid adoption and low overhead, while integrated desktop and web platforms that support complex analytics and multi‑stakeholder collaboration better serve large estates and enterprise agribusinesses. Similarly, end‑user specialization means that pest and disease modules or irrigation optimization tools will see higher engagement in horticulture and vegetable production contexts, whereas yield monitoring and variable rate application present greater ROI focus for grain producers. Finally, deployment mode choices are often driven by regional connectivity profiles and data governance policies, so vendors must offer flexible hosting options and clear contractual terms to address heterogenous buyer requirements.
How regional regulatory priorities, farm structures, and connectivity landscapes across the Americas, Europe Middle East & Africa, and Asia‑Pacific shape deployment models and partnerships
Regional dynamics continue to shape adoption timing, solution design, and partnership models across the Americas, Europe, Middle East & Africa, and Asia‑Pacific. In the Americas, large commercial operations and strong equipment OEM presence foster integrated hardware‑software propositions and advanced analytics adoption, while channel models and finance solutions play a key role in scaling deployments across diverse farm sizes. In Europe, Middle East & Africa, regulatory emphasis on sustainability reporting, nutrient management, and traceability has elevated demand for software that can produce verifiable compliance records and support cross‑border commerce, prompting vendors to embed standards and reporting features into their platforms. In Asia‑Pacific, heterogeneous farm structures, rapid mobile penetration, and an expanding network of agtech startups create a fertile environment for mobile‑first solutions and localized services that address smallholder needs and fragmented value chains.
These regional differences also affect talent availability, partner ecosystems, and data infrastructure investment, which in turn influence the maturity of deployment models. For instance, cloud adoption is more advanced in regions with resilient connectivity, enabling continuous telemetry and scalable analytics, whereas regions with intermittent connectivity often rely on hybrid or on‑premise architectures with asynchronous synchronization. Consequently, vendors that offer modular architectures and regionally tailored commercial models are better positioned to capture cross‑regional demand while respecting local operational constraints.
Competitive differentiation strategies revealing how openness, vertical focus, integrated analytics, and service‑led models are reshaping vendor positioning and partnership ecosystems
Leading vendors and strategic newcomers are differentiating along several dimensions: platform openness, analytics depth, vertical specialization, and service‑led delivery models. Some companies are prioritizing open APIs and modular marketplaces to enable third‑party integrations and accelerate partner innovation, while others are concentrating on domain expertise and curated vertical solutions for specific crop types or livestock systems. Across the board, there is a steady shift toward embedding advanced analytics, including machine learning and predictive models, into core workflows to convert raw telemetry into prioritized tasks and prescriptive recommendations.
Moreover, companies are expanding their services portfolios to include consulting, implementation, and long‑term support to address the full lifecycle of digital transformation on the farm. Strategic partnerships with equipment OEMs and agronomy service providers are increasingly used to deliver bundled propositions that reduce buyer friction. As competitive intensity rises, firms that can demonstrate field‑level efficacy through independent trials, strong data governance, and clear interoperability commitments will improve trust with large enterprise customers and accelerate enterprise adoption.
Practical strategic imperatives for product, partnership, and commercial leaders to accelerate adoption, manage supply risk, and deliver measurable operational outcomes
Industry leaders should take deliberate steps to align product roadmaps with operational realities and regulatory expectations while protecting margins and customer outcomes. First, prioritize modular platform design with robust APIs to facilitate rapid partner integration and to shorten time‑to‑value for customers who require bespoke workflows. Next, invest in regionally adaptable deployment options including cloud, hybrid, and on‑premise models to address connectivity constraints and data sovereignty concerns and thereby broaden addressable audiences. In parallel, develop outcome‑based service offerings that combine advisory, implementation, and ongoing support to reduce adoption friction and create recurring revenue streams.
Additionally, cultivate strategic alliances with equipment manufacturers, agronomy providers, and local service partners to bundle hardware, software, and field services into coherent offers that simplify procurement. Emphasize transparency in data governance and compliance to build trust with enterprise customers and to support sustainability reporting needs. Finally, incorporate tariff and supply‑chain resilience planning within commercial strategies by qualifying alternative suppliers, regionalizing component sourcing, and offering financing options to customers facing higher initial equipment costs. These actionable measures will strengthen competitive position and accelerate adoption across diverse farm segments.
Robust mixed‑methods research approach combining structured stakeholder interviews, comprehensive documentary review, and rigorous data triangulation to ensure actionable findings
This research synthesizes primary and secondary inputs to produce balanced, repeatable insights that reflect both practitioner experience and documentary evidence. Primary research included structured interviews with a cross‑section of industry stakeholders such as farm operators, agronomy consultants, channel partners, and technology vendors, using standardized questionnaires that captured deployment patterns, technology preferences, and procurement drivers. Secondary research drew upon peer‑reviewed journals, industry association reports, conference proceedings, regulatory filings, and publicly available white papers to contextualize primary findings and to surface historical trends.
Data triangulation was applied throughout the analysis to reconcile differing perspectives and to validate thematic conclusions. Where quantitative evidence was limited, qualitative synthesis and scenario analysis were used to interpret likely operational impacts and vendor responses. The methodology also includes a limitations statement that acknowledges variability in regional data availability and the rapid pace of technological change, which can alter adoption dynamics between research cycles. To mitigate these constraints, ongoing engagement with subject matter experts and iterative validation workshops were used to refine conclusions and ensure practical relevance.
Concluding synthesis on how interoperability, services, and resilient commercial models will separate successful vendors from the rest in the evolving precision agriculture landscape
Precision farming software is now at an inflection point where technical maturity, regulatory drivers, and commercial models intersect to create new opportunities and challenges for vendors and buyers. The industry is moving from isolated pilots toward integrated operational deployments that demand interoperability, verifiable outcomes, and resilient supply models. As stakeholders adapt to tariff dynamics, regional differences, and evolving end‑user needs, successful organizations will be those that build flexible platforms, forge strong ecosystem partnerships, and deliver services that translate analytics into field actions.
In closing, the path forward requires a pragmatic balance of technological ambition and operational discipline. Vendors that can align product design with farm workflows, offer adaptable deployment options, and back their platforms with consultative services will be best positioned to convert emerging demand into sustainable commercial traction. Decision‑makers should therefore prioritize investments that reduce deployment friction, strengthen data governance, and enhance the demonstrable agronomic value of digital interventions.
Please Note: PDF & Excel + Online Access - 1 Year
How integrated sensing, analytics, and interoperable architectures are redefining decision workflows and operational performance in modern agricultural enterprises
The convergence of advanced sensing, data analytics, and automated farm systems is transforming how agricultural decisions are made and executed. Precision farming software now plays a central role in orchestrating operations that once relied on intuition and fragmented records. By integrating satellite and drone imagery with in‑field sensor telemetry, software platforms create a continuous feedback loop that elevates situational awareness across the production cycle.
Today’s stakeholders demand platforms that do more than record data; they require solutions that synthesize heterogeneous inputs into actionable guidance, adapt to farm scale and crop type, and interoperate with existing machinery and enterprise systems. As a result, product roadmaps increasingly favor modular architectures, open APIs, and interoperable standards that reduce integration friction. This shift enables agronomists, farm managers, and service providers to deploy capabilities faster and iterate on workflows with measurable outcomes. In turn, this evolution is reshaping vendor value propositions and buyer expectations alike.
Emerging technological, sustainability, and partnership trends driving rapid evolution of software offerings and buyer expectations across agricultural operations
Several transformative shifts are converging to change the competitive landscape and the adoption curve for precision farming software. Advances in machine learning and edge computing are enabling near‑real‑time decision support at field scale, reducing latency between observation and action. At the same time, hardware commoditization has lowered the entry barrier for deploying remote sensing and soil monitoring networks, which expands the addressable base of digitally enabled farms.
Concurrently, there is growing emphasis on sustainability metrics and traceability across supply chains, which is incentivizing adoption of software that can capture and certify agronomic practices. Strategic partnerships between platform providers, equipment manufacturers, and agribusinesses are also becoming more prevalent, reflecting a shift from standalone point solutions to ecosystem plays. These developments collectively pressure vendors to offer not only analytic capability but also services and integration that drive demonstrable agronomic and operational outcomes.
Observed commercial and supply chain adjustments triggered by United States tariff policy changes in 2025 and their implications for procurement and vendor strategies
Recent tariff changes implemented in 2025 by the United States have produced tangible effects across the global precision agriculture supply chain, altering procurement patterns and supplier strategies. Tariffs on selected electronic components, agricultural machinery imports, and certain software‑related hardware have increased landed costs for integrated solutions, prompting buyers to reassess vendor selection criteria and prioritize local sourcing where feasible. This has accelerated vendor efforts to regionalize supply chains and to qualify alternative component suppliers to mitigate exposure to tariff volatility.
In addition, service models have adapted as providers shift more functionality to cloud and subscription delivery to offset capital cost pressures and to preserve predictable total cost of ownership for customers. Software vendors and integrators have also doubled down on certification and compliance offerings to help customers navigate import duties and regulatory complexities, which has increased demand for procurement advisory and implementation services. Consequently, strategic alliances and regional partnerships have become more important as both vendors and buyers seek to protect margin and maintain deployment velocity in the face of trade policy uncertainty.
Detailed segmentation analysis exposing distinct functional priorities, deployment preferences, farm scale dynamics, and end‑user use cases that shape product adoption and monetization paths
A granular segmentation framework reveals nuanced adoption patterns across functionality, technology architecture, deployment preferences, farm scale, and end‑user profiles. Based on application, adoption trends diverge between use cases such as crop scouting, farm management systems, fertilizer management, field mapping, irrigation management, pest and disease management, variable rate application, weather forecasting, and yield monitoring, each of which carries distinct data, integration, and user experience requirements. Based on component, the market differentiates between services and software platforms, with services encompassing consulting, implementation, and support and maintenance, and software platforms spanning desktop, mobile, and web interfaces that determine how users interact with insights. Based on deployment mode, buyer preferences split between cloud‑based and on‑premise architectures, influenced by connectivity, data sovereignty, and integration needs. Based on farm size, large, medium, and small operations exhibit different purchasing processes, investment horizons, and expectations for customization versus out‑of‑the‑box functionality. Based on end user, the profile of fruit growers, grain growers, livestock farmers, and vegetable growers guides feature prioritization, with each segment emphasizing specific sensor suites, analytics, and regulatory compliance features.
Understanding these segment distinctions is essential for product managers and commercial teams because feature prioritization, go‑to‑market messaging, and pricing must be aligned to the operational realities of the target customer. For example, mobile‑first interfaces and simplified workflows resonate strongly with small and medium farms that favor rapid adoption and low overhead, while integrated desktop and web platforms that support complex analytics and multi‑stakeholder collaboration better serve large estates and enterprise agribusinesses. Similarly, end‑user specialization means that pest and disease modules or irrigation optimization tools will see higher engagement in horticulture and vegetable production contexts, whereas yield monitoring and variable rate application present greater ROI focus for grain producers. Finally, deployment mode choices are often driven by regional connectivity profiles and data governance policies, so vendors must offer flexible hosting options and clear contractual terms to address heterogenous buyer requirements.
How regional regulatory priorities, farm structures, and connectivity landscapes across the Americas, Europe Middle East & Africa, and Asia‑Pacific shape deployment models and partnerships
Regional dynamics continue to shape adoption timing, solution design, and partnership models across the Americas, Europe, Middle East & Africa, and Asia‑Pacific. In the Americas, large commercial operations and strong equipment OEM presence foster integrated hardware‑software propositions and advanced analytics adoption, while channel models and finance solutions play a key role in scaling deployments across diverse farm sizes. In Europe, Middle East & Africa, regulatory emphasis on sustainability reporting, nutrient management, and traceability has elevated demand for software that can produce verifiable compliance records and support cross‑border commerce, prompting vendors to embed standards and reporting features into their platforms. In Asia‑Pacific, heterogeneous farm structures, rapid mobile penetration, and an expanding network of agtech startups create a fertile environment for mobile‑first solutions and localized services that address smallholder needs and fragmented value chains.
These regional differences also affect talent availability, partner ecosystems, and data infrastructure investment, which in turn influence the maturity of deployment models. For instance, cloud adoption is more advanced in regions with resilient connectivity, enabling continuous telemetry and scalable analytics, whereas regions with intermittent connectivity often rely on hybrid or on‑premise architectures with asynchronous synchronization. Consequently, vendors that offer modular architectures and regionally tailored commercial models are better positioned to capture cross‑regional demand while respecting local operational constraints.
Competitive differentiation strategies revealing how openness, vertical focus, integrated analytics, and service‑led models are reshaping vendor positioning and partnership ecosystems
Leading vendors and strategic newcomers are differentiating along several dimensions: platform openness, analytics depth, vertical specialization, and service‑led delivery models. Some companies are prioritizing open APIs and modular marketplaces to enable third‑party integrations and accelerate partner innovation, while others are concentrating on domain expertise and curated vertical solutions for specific crop types or livestock systems. Across the board, there is a steady shift toward embedding advanced analytics, including machine learning and predictive models, into core workflows to convert raw telemetry into prioritized tasks and prescriptive recommendations.
Moreover, companies are expanding their services portfolios to include consulting, implementation, and long‑term support to address the full lifecycle of digital transformation on the farm. Strategic partnerships with equipment OEMs and agronomy service providers are increasingly used to deliver bundled propositions that reduce buyer friction. As competitive intensity rises, firms that can demonstrate field‑level efficacy through independent trials, strong data governance, and clear interoperability commitments will improve trust with large enterprise customers and accelerate enterprise adoption.
Practical strategic imperatives for product, partnership, and commercial leaders to accelerate adoption, manage supply risk, and deliver measurable operational outcomes
Industry leaders should take deliberate steps to align product roadmaps with operational realities and regulatory expectations while protecting margins and customer outcomes. First, prioritize modular platform design with robust APIs to facilitate rapid partner integration and to shorten time‑to‑value for customers who require bespoke workflows. Next, invest in regionally adaptable deployment options including cloud, hybrid, and on‑premise models to address connectivity constraints and data sovereignty concerns and thereby broaden addressable audiences. In parallel, develop outcome‑based service offerings that combine advisory, implementation, and ongoing support to reduce adoption friction and create recurring revenue streams.
Additionally, cultivate strategic alliances with equipment manufacturers, agronomy providers, and local service partners to bundle hardware, software, and field services into coherent offers that simplify procurement. Emphasize transparency in data governance and compliance to build trust with enterprise customers and to support sustainability reporting needs. Finally, incorporate tariff and supply‑chain resilience planning within commercial strategies by qualifying alternative suppliers, regionalizing component sourcing, and offering financing options to customers facing higher initial equipment costs. These actionable measures will strengthen competitive position and accelerate adoption across diverse farm segments.
Robust mixed‑methods research approach combining structured stakeholder interviews, comprehensive documentary review, and rigorous data triangulation to ensure actionable findings
This research synthesizes primary and secondary inputs to produce balanced, repeatable insights that reflect both practitioner experience and documentary evidence. Primary research included structured interviews with a cross‑section of industry stakeholders such as farm operators, agronomy consultants, channel partners, and technology vendors, using standardized questionnaires that captured deployment patterns, technology preferences, and procurement drivers. Secondary research drew upon peer‑reviewed journals, industry association reports, conference proceedings, regulatory filings, and publicly available white papers to contextualize primary findings and to surface historical trends.
Data triangulation was applied throughout the analysis to reconcile differing perspectives and to validate thematic conclusions. Where quantitative evidence was limited, qualitative synthesis and scenario analysis were used to interpret likely operational impacts and vendor responses. The methodology also includes a limitations statement that acknowledges variability in regional data availability and the rapid pace of technological change, which can alter adoption dynamics between research cycles. To mitigate these constraints, ongoing engagement with subject matter experts and iterative validation workshops were used to refine conclusions and ensure practical relevance.
Concluding synthesis on how interoperability, services, and resilient commercial models will separate successful vendors from the rest in the evolving precision agriculture landscape
Precision farming software is now at an inflection point where technical maturity, regulatory drivers, and commercial models intersect to create new opportunities and challenges for vendors and buyers. The industry is moving from isolated pilots toward integrated operational deployments that demand interoperability, verifiable outcomes, and resilient supply models. As stakeholders adapt to tariff dynamics, regional differences, and evolving end‑user needs, successful organizations will be those that build flexible platforms, forge strong ecosystem partnerships, and deliver services that translate analytics into field actions.
In closing, the path forward requires a pragmatic balance of technological ambition and operational discipline. Vendors that can align product design with farm workflows, offer adaptable deployment options, and back their platforms with consultative services will be best positioned to convert emerging demand into sustainable commercial traction. Decision‑makers should therefore prioritize investments that reduce deployment friction, strengthen data governance, and enhance the demonstrable agronomic value of digital interventions.
Please Note: PDF & Excel + Online Access - 1 Year
Table of Contents
197 Pages
- 1. Preface
- 1.1. Objectives of the Study
- 1.2. Market Segmentation & Coverage
- 1.3. Years Considered for the Study
- 1.4. Currency
- 1.5. Language
- 1.6. Stakeholders
- 2. Research Methodology
- 3. Executive Summary
- 4. Market Overview
- 5. Market Insights
- 5.1. Integration of AI-driven predictive analytics for crop yield optimization and disease prevention
- 5.2. Adoption of IoT-enabled sensors and drones for real-time soil and crop health monitoring
- 5.3. Implementation of blockchain-based supply chain tracking for enhanced transparency in produce distribution
- 5.4. Development of cloud-native farm management platforms offering centralized multi-farm data dashboards
- 5.5. Advancement of variable rate application technologies for precise input delivery and cost reduction
- 5.6. Rising demand for remote agronomic advisory services through mobile applications and virtual consultations
- 5.7. Use of satellite imagery and machine learning models for large-scale field mapping and risk assessment
- 6. Cumulative Impact of United States Tariffs 2025
- 7. Cumulative Impact of Artificial Intelligence 2025
- 8. Precision Farming Software Market, by Component
- 8.1. Services
- 8.1.1. Consulting
- 8.1.2. Implementation
- 8.1.3. Support And Maintenance
- 8.2. Software Platform
- 8.2.1. Desktop Platform
- 8.2.2. Mobile Platform
- 8.2.3. Web Platform
- 9. Precision Farming Software Market, by Deployment Mode
- 9.1. Cloud Based
- 9.2. On Premise
- 10. Precision Farming Software Market, by Farm Size
- 10.1. Large
- 10.2. Medium
- 10.3. Small
- 11. Precision Farming Software Market, by Application
- 11.1. Crop Scouting
- 11.2. Farm Management System
- 11.3. Fertilizer Management
- 11.4. Field Mapping
- 11.5. Irrigation Management
- 11.6. Pest And Disease Management
- 11.7. Variable Rate Application
- 11.8. Weather Forecasting
- 11.9. Yield Monitoring
- 12. Precision Farming Software Market, by End User
- 12.1. Fruit Growers
- 12.2. Grain Growers
- 12.3. Livestock Farmers
- 12.4. Vegetable Growers
- 13. Precision Farming Software Market, by Region
- 13.1. Americas
- 13.1.1. North America
- 13.1.2. Latin America
- 13.2. Europe, Middle East & Africa
- 13.2.1. Europe
- 13.2.2. Middle East
- 13.2.3. Africa
- 13.3. Asia-Pacific
- 14. Precision Farming Software Market, by Group
- 14.1. ASEAN
- 14.2. GCC
- 14.3. European Union
- 14.4. BRICS
- 14.5. G7
- 14.6. NATO
- 15. Precision Farming Software Market, by Country
- 15.1. United States
- 15.2. Canada
- 15.3. Mexico
- 15.4. Brazil
- 15.5. United Kingdom
- 15.6. Germany
- 15.7. France
- 15.8. Russia
- 15.9. Italy
- 15.10. Spain
- 15.11. China
- 15.12. India
- 15.13. Japan
- 15.14. Australia
- 15.15. South Korea
- 16. Competitive Landscape
- 16.1. Market Share Analysis, 2024
- 16.2. FPNV Positioning Matrix, 2024
- 16.3. Competitive Analysis
- 16.3.1. AGCO Corporation
- 16.3.2. AgJunction Inc.
- 16.3.3. Bayer AG
- 16.3.4. Climate LLC
- 16.3.5. CNH Industrial N.V.
- 16.3.6. Conservis Corporation
- 16.3.7. CropX Inc.
- 16.3.8. Deere & Company
- 16.3.9. Farmers Edge Inc.
- 16.3.10. Gamaya SA
- 16.3.11. GeoPard Ag
- 16.3.12. Granular, Inc.
- 16.3.13. Hexagon AB
- 16.3.14. Proagrica Limited
- 16.3.15. Raven Industries, Inc.
- 16.3.16. SST Software
- 16.3.17. Topcon Corporation
- 16.3.18. Trimble Inc.
- 16.3.19. Xarvio Digital Farming Solutions
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