Digital Agriculture Market by Product Type, Services, Technologies, Farming Type, Applications, End User

List of Tables

The Digital Agriculture Market was valued at USD 21.85 billion in 2024 and is projected to grow to USD 24.08 billion in 2025, with a CAGR of 10.52%, reaching USD 39.84 billion by 2030.

KEY MARKET STATISTICS
Base Year [2024]	USD 21.85 billion
Estimated Year [2025]	USD 24.08 billion
Forecast Year [2030]	USD 39.84 billion
CAGR (%)	10.52%

Digital agriculture has emerged as one of the most defining innovations in modern farming, merging technology and traditional practices to create more efficient, resilient, and sustainable agricultural systems. In this unprecedented era, cutting-edge solutions are revolutionizing the way stakeholders approach crop management, water conservation, and yield optimization. A relentless focus on data, connectivity, and precision techniques is driving actionable insights that empower stakeholders to make informed decisions. The evolution of sensor technology, remote monitoring, and advanced data analytics has not only streamlined operations but has also unlocked creative potentials in the agricultural sector. As farmers and agribusiness leaders embrace digital transformation, they are redefining established practices and optimizing resource deployment across the board. This integration has proven instrumental in reducing waste, improving output quality, and bolstering profitability by aligning production practices with emerging sustainability paradigms. The synergy between technological advancements and traditional farming wisdom is enabling a seamless transition towards smarter practices. Over the course of this summary, we will explore the multifaceted dimensions of digital agriculture, laying a strong foundation for understanding its impact on the modern agri-food chain. As the industry continues to evolve at a rapid pace, a comprehensive exploration of these trends is imperative to grasp the full potential of digital agriculture in shaping a resilient and prosperous future.

Transformative Shifts Redefining the Digital Agriculture Landscape

The digital agriculture landscape is being reshaped by a series of transformative shifts that underscore the dynamic interplay between technology and farming practices. Key changes include the integration of disruptive technologies such as artificial intelligence, robotics, and advanced sensor networks that are revolutionizing traditional methodologies. This transformation is not merely about automation; it represents a shift toward data-driven decision making and precision management, where every element of the agricultural value chain is enhanced by real-time insights. Emerging digital tools are allowing agribusinesses to predict weather patterns, monitor soil health, and manage crops with unprecedented precision. Consequently, farmers are embracing innovations that facilitate efficient resource management and improve overall yield quality and sustainability. These shifts also signify the industry's strategic adaptation to shortages in labor, the need for enhanced scalability, and an increasing demand for sustainable practices. The convergence of connectivity and advanced analytics is leading to smarter supply chains, proactive maintenance schedules, and more agile responses to market fluctuations. Ultimately, the convergence of modern technology with agriculture is driving innovation and opening up new opportunities for growth, making it an era marked by rapid change, continuous improvement, and transformative potential for stakeholders across the sector.

Deep Dive into Key Segmentation Insights in Digital Agriculture

Understanding the diverse components of the digital agriculture market requires a detailed look at its segmentation across multiple dimensions. When examined on the basis of product type, the market is studied across hardware, services, and software. Within the realm of hardware, advancements are reflected in cameras and imaging devices, drones, GPS and GNSS devices, alongside sensors that enable precision monitoring. Turning to services, the market observes a detailed study into consulting services, support and maintenance, as well as system integration, each contributing to the ecosystem's robustness. In the realm of software, innovations are segmented into data analytics and AI software, and farm management software which itself is further dissected into livestock monitoring and precision farming. Moreover, when analyzing the market based on services specifically, consultation on business strategy, risk management, and technology implementation are key areas of focus, supplemented by managed services that cover data as a service, infrastructure management, and subscription-based agronomic support. Support and maintenance further extend to field equipment maintenance, regular software updates, and technical support. Further insights come from studying the market based on technologies such as AI and machine learning where automated decision making, crop disease detection and predictive analytics are central, alongside cloud computing which emphasizes data storage, remote management systems and SaaS applications. Additionally, IoT devices including drones, field sensors and livestock monitoring devices, combined with robotics and automation, play a crucial role in this evolving sector. Finally, segmentation based on farming type-indoor and outdoor farming-along with detailed applications in crop monitoring, precision farming, resource management, and supply chain management, rounds out a comprehensive picture that is essential for grasping the multi-layered dynamics of this market.

Based on Product Type, market is studied across Hardware, Service, and Software. The Hardware is further studied across Cameras And Imaging Devices, Drones, GPS And GNSS Devices, and Sensors. The Service is further studied across Consulting Services, Support And Maintenance, and System Integration. The Software is further studied across Data Analytics And AI Software and Farm Management Software. The Farm Management Software is further studied across Livestock Monitoring and Precision Farming.

Based on Services, market is studied across Consulting Services, Managed Services, and Support and Maintenance. The Consulting Services is further studied across Business Strategy, Risk Management, and Technology Implementation. The Managed Services is further studied across Data as a Service (DaaS), Infrastructure Management, and Subscription-Based Agronomic Support. The Support and Maintenance is further studied across Field Equipment Maintenance, Software Updates, and Technical Support.

Based on Technologies, market is studied across AI and Machine Learning, Cloud Computing, IoT Devices, and Robotics and Automation. The AI and Machine Learning is further studied across Automated Decision Making, Crop Disease Detection, and Predictive Analytics. The Cloud Computing is further studied across Data Storage, Remote Management Systems, and Software as a Service (SaaS) Applications. The IoT Devices is further studied across Drones, Field Sensors, and Livestock Monitoring Devices.

Based on Farming Type, market is studied across Indoor Farming and Outdoor Farming.

Based on Applications, market is studied across Crop Monitoring, Precision Farming, Resource Management, and Supply Chain Management. The Crop Monitoring is further studied across Drone Surveying, Field Sensors, and Satellite Imaging. The Precision Farming is further studied across Field Mapping, In-Field Monitoring, and Variable Rate Technology. The Resource Management is further studied across Energy Management, Soil Management, and Water Management. The Supply Chain Management is further studied across Demand Forecasting, Inventory Tracking, and Procurement Optimization.

Based on End User, market is studied across Agribusinesses, Farmers, Government And Regulatory Body, and Research Institutes.

Regional Dynamics Shaping the Digital Agriculture Market

The evolution of digital agriculture is not uniform across the globe; it is characterized by stark regional variations that influence market dynamics and adoption rates. In the Americas, cutting-edge farming techniques and robust investment in technology have led to rapid advancements in mechanization and data-driven decision making. These regions benefit from a strong agricultural base paired with an accelerating adoption of innovative tools and practices. By contrast, Europe, the Middle East & Africa are witnessing a blend of traditional practices and digital integration, where historical farming know-how is increasingly enhanced by modern technology solutions. These regions are bolstering efforts to address both climate challenges and sustainable food production, leading to significant opportunities for digital solutions to optimize resource management and supply chain efficiency. The Asia-Pacific region emerges as a hub of rapid technological adoption, fuelled by large agrarian economies coupled with a willingness to experiment and integrate emerging technologies on a large scale. Here, smart farming solutions are not only modernizing existing practices but are also transforming productivity and output quality on an unprecedented scale. Collectively, these regional insights demonstrate that while challenges remain in harmonizing technology with traditional practices, the path to integration is well-defined by local market forces, governmental support, and a relentless drive to innovate in a competitive global landscape.

Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

Leading Industry Players Driving Digital Agriculture Innovation

The competitive landscape of digital agriculture is shaped by a myriad of global players who are setting the pace for innovation and transformation in the sector. Established entities such as Accenture PLC, AGCO Corporation, and AgGateway have consistently introduced solutions that integrate advanced technologies into farming operations. Companies including Agreena ApS, AgriWebb Pty Ltd., and AKVA group ASA are redefining industry standards through cutting-edge research and development programs. Arable Labs, Inc. and BASF SE have been instrumental in driving technology adoption, while Bayer AG and Ceres Imaging, Inc. continue to contribute significantly by offering precise, data-driven insights to practitioners. Further innovations have emerged from technology giants like Cisco Systems, Inc. and CropX Technologies Ltd., with Deere & Company leading the integration of traditional equipment with digitized operations. DeLaval by Tetra Laval Group, DTN, LLC, and Epicor Software Corporation are enhancing operational efficiency through scalable solutions, while Eurofins Scientific, Farmers Business Network, Inc. and Farmers Edge Inc. push the envelope in precision monitoring and analytics. Companies such as Gamaya by Mahindra & Mahindra, Hexagon AB, and International Business Machines Corporation feature prominently alongside Microsoft Corporation and PrecisionHawk, Inc. by Field Group. In addition, Raven Industries, Inc. by CNH Industrial N.V., Small Robot Company, and Syngenta Crop Protection AG continue to innovate relentlessly, with SZ DJI Technology Co., Ltd., Taranis Visual Ltd., TELUS Agriculture Solutions Inc., Trimble Inc., and Vodafone Group PLC rounding out a landscape filled with strategic ingenuity and technological prowess that furthers the market's evolution.

The report delves into recent significant developments in the Digital Agriculture Market, highlighting leading vendors and their innovative profiles. These include Accenture PLC, AGCO Corporation, AgGateway, Agreena ApS, AgriWebb Pty Ltd., AKVA group ASA, Arable Labs, Inc., BASF SE, Bayer AG, Ceres Imaging, Inc., Cisco Systems, Inc., CropX Technologies Ltd., Deere & Company, DeLaval by Tetra Laval Group, DTN, LLC, Epicor Software Corporation, Eurofins Scientific, Farmers Business Network, Inc., Farmers Edge Inc., Gamaya by Mahindra & Mahindra, Hexagon AB, International Business Machines Corporation, Microsoft Corporation, PrecisionHawk, Inc. by Field Group, Raven Industries, Inc. by CNH Industrial N.V., Small Robot Company, Syngenta Crop Protection AG, SZ DJI Technology Co., Ltd., Taranis Visual Ltd., TELUS Agriculture Solutions Inc., Trimble Inc., and Vodafone Group PLC. Strategic, Actionable Recommendations for Industry Leaders

In light of the rapid technological evolution and dynamic market transformations, industry leaders are advised to adopt a proactive approach to harness emerging opportunities. It is crucial that organizations invest in scalable digital infrastructures and strategic partnerships that facilitate integration across multiple segments of the value chain. Leaders should develop robust roadmaps for technology adoption that incorporate both short-term initiatives such as field equipment maintenance and long-term investments in AI, machine learning and cloud-based analytics platforms. Embracing a forward-looking strategy entails refining risk management frameworks to deal with unpredictability and diversifying service portfolios to include both consulting and managed services. Prioritizing continuous research and development is imperative, and organizations should harness insights from advanced analytics to drive operational efficiencies while optimizing resource consumption. Furthermore, the emphasis should be on leveraging data-driven insights to refine supply chain operations and address challenges related to sustainability and environmental compliance. Decision-makers must foster innovation by integrating user feedback and industry benchmarks, ensuring that technology deployment aligns with localized demands. Ultimately, the key to sustainable success lies in the ability to innovate rapidly, maintain agility in strategy, and develop comprehensive action plans that position organizations as leaders in the digital agriculture revolution.

Bringing the Insights Together: A Conclusive Overview

In conclusion, the digital transformation of agriculture presents a compelling narrative of innovation and sustainability. The evolution of the industry is underpinned by profound shifts that touch every aspect of the value chain-from the development of advanced hardware and software solutions to the integration of sophisticated service mechanisms. With detailed segmentation analysis offering clarity on product types, services, and technologies, stakeholders can make informed decisions that leverage both scale and specificity. The analysis of geographic dynamics shows clear distinctions in the pace and nature of digital adoption across the Americas, Europe, the Middle East & Africa, and the Asia-Pacific region, each with its own set of challenges and opportunities. Furthermore, the competitive landscape is enriched by a diverse mix of established and emerging players who continue to drive innovation and elevate industry standards. These insights converge to create a rich tapestry of opportunities that encourage collaboration, agile strategy development, and the pursuit of technological excellence. As market dynamics continue to evolve, successful navigation will depend on the ability to integrate deep analytical insights with actionable strategies, ensuring a resilient and forward-thinking approach that propels the entire industry into a new era of growth and efficiency.

Product Code: MRR-961BA04A2DF4

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

2.1. Define: Research Objective
2.2. Determine: Research Design
2.3. Prepare: Research Instrument
2.4. Collect: Data Source
2.5. Analyze: Data Interpretation
2.6. Formulate: Data Verification
2.7. Publish: Research Report
2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

5.1. Market Dynamics
- 5.1.1. Drivers
  - 5.1.1.1. Rising demand for data-driven insights for precision farming practices worldwide
  - 5.1.1.2. Growing awareness and investment in sustainable farming practices
  - 5.1.1.3. Government initiatives and policies fostering advancement in digital farming technologies
- 5.1.2. Restraints
  - 5.1.2.1. High implementation costs and finances associated with the adoption of digital agriculture
- 5.1.3. Opportunities
  - 5.1.3.1. Surge in digital platforms facilitating farmer-to-consumer direct sales and transparent market access
  - 5.1.3.2. Ongoing implementation of automated machinery leasing services catering to small and medium-sized farms
- 5.1.4. Challenges
  - 5.1.4.1. Complexities in integrating legacy systems with modern digital agriculture platforms
5.2. Market Segmentation Analysis
- 5.2.1. Product Type: Increasing preference for software in digital agriculture improving decision-making processes
- 5.2.2. Applications: Expanding application of crop monitoring in digital agriculture
5.3. Porter's Five Forces Analysis
- 5.3.1. Threat of New Entrants
- 5.3.2. Threat of Substitutes
- 5.3.3. Bargaining Power of Customers
- 5.3.4. Bargaining Power of Suppliers
- 5.3.5. Industry Rivalry
5.4. PESTLE Analysis
- 5.4.1. Political
- 5.4.2. Economic
- 5.4.3. Social
- 5.4.4. Technological
- 5.4.5. Legal
- 5.4.6. Environmental

6. Digital Agriculture Market, by Product Type

6.1. Introduction
6.2. Hardware
- 6.2.1. Cameras And Imaging Devices
- 6.2.2. Drones
- 6.2.3. GPS And GNSS Devices
- 6.2.4. Sensors
6.3. Service
- 6.3.1. Consulting Services
- 6.3.2. Support And Maintenance
- 6.3.3. System Integration
6.4. Software
- 6.4.1. Data Analytics And AI Software
- 6.4.2. Farm Management Software
  - 6.4.2.1. Livestock Monitoring
  - 6.4.2.2. Precision Farming

7. Digital Agriculture Market, by Services

7.1. Introduction
7.2. Consulting Services
- 7.2.1. Business Strategy
- 7.2.2. Risk Management
- 7.2.3. Technology Implementation
7.3. Managed Services
- 7.3.1. Data as a Service (DaaS)
- 7.3.2. Infrastructure Management
- 7.3.3. Subscription-Based Agronomic Support
7.4. Support and Maintenance
- 7.4.1. Field Equipment Maintenance
- 7.4.2. Software Updates
- 7.4.3. Technical Support

8. Digital Agriculture Market, by Technologies

8.1. Introduction
8.2. AI and Machine Learning
- 8.2.1. Automated Decision Making
- 8.2.2. Crop Disease Detection
- 8.2.3. Predictive Analytics
8.3. Cloud Computing
- 8.3.1. Data Storage
- 8.3.2. Remote Management Systems
- 8.3.3. Software as a Service (SaaS) Applications
8.4. IoT Devices
- 8.4.1. Drones
- 8.4.2. Field Sensors
- 8.4.3. Livestock Monitoring Devices
8.5. Robotics and Automation

9. Digital Agriculture Market, by Farming Type

9.1. Introduction
9.2. Indoor Farming
9.3. Outdoor Farming

10. Digital Agriculture Market, by Applications

10.1. Introduction
10.2. Crop Monitoring
- 10.2.1. Drone Surveying
- 10.2.2. Field Sensors
- 10.2.3. Satellite Imaging
10.3. Precision Farming
- 10.3.1. Field Mapping
- 10.3.2. In-Field Monitoring
- 10.3.3. Variable Rate Technology
10.4. Resource Management
- 10.4.1. Energy Management
- 10.4.2. Soil Management
- 10.4.3. Water Management
10.5. Supply Chain Management
- 10.5.1. Demand Forecasting
- 10.5.2. Inventory Tracking
- 10.5.3. Procurement Optimization

11. Digital Agriculture Market, by End User

11.1. Introduction
11.2. Agribusinesses
11.3. Farmers
11.4. Government And Regulatory Body
11.5. Research Institutes

12. Americas Digital Agriculture Market

12.1. Introduction
12.2. Argentina
12.3. Brazil
12.4. Canada
12.5. Mexico
12.6. United States

13. Asia-Pacific Digital Agriculture Market

13.1. Introduction
13.2. Australia
13.3. China
13.4. India
13.5. Indonesia
13.6. Japan
13.7. Malaysia
13.8. Philippines
13.9. Singapore
13.10. South Korea
13.11. Taiwan
13.12. Thailand
13.13. Vietnam

14. Europe, Middle East & Africa Digital Agriculture Market

14.1. Introduction
14.2. Denmark
14.3. Egypt
14.4. Finland
14.5. France
14.6. Germany
14.7. Israel
14.8. Italy
14.9. Netherlands
14.10. Nigeria
14.11. Norway
14.12. Poland
14.13. Qatar
14.14. Russia
14.15. Saudi Arabia
14.16. South Africa
14.17. Spain
14.18. Sweden
14.19. Switzerland
14.20. Turkey
14.21. United Arab Emirates
14.22. United Kingdom

15. Competitive Landscape

15.1. Market Share Analysis, 2024
15.2. FPNV Positioning Matrix, 2024
15.3. Competitive Scenario Analysis
- 15.3.1. Gevo acquires CultivateAI to enhance data-driven digital agriculture and carbon tracking solutions
- 15.3.2. BASF embraces satellite imagery, Agco invests in automation, and merger turbulence
- 15.3.3. Barchart and AgVision announce integration for digital agriculture
15.4. Strategy Analysis & Recommendation

Companies Mentioned

1. Accenture PLC
2. AGCO Corporation
3. AgGateway
4. Agreena ApS
5. AgriWebb Pty Ltd.
6. AKVA group ASA
7. Arable Labs, Inc.
8. BASF SE
9. Bayer AG
10. Ceres Imaging, Inc.
11. Cisco Systems, Inc.
12. CropX Technologies Ltd.
13. Deere & Company
14. DeLaval by Tetra Laval Group
15. DTN, LLC
16. Epicor Software Corporation
17. Eurofins Scientific
18. Farmers Business Network, Inc.
19. Farmers Edge Inc.
20. Gamaya by Mahindra & Mahindra
21. Hexagon AB
22. International Business Machines Corporation
23. Microsoft Corporation
24. PrecisionHawk, Inc. by Field Group
25. Raven Industries, Inc. by CNH Industrial N.V.
26. Small Robot Company
27. Syngenta Crop Protection AG
28. SZ DJI Technology Co., Ltd.
29. Taranis Visual Ltd.
30. TELUS Agriculture Solutions Inc.
31. Trimble Inc.
32. Vodafone Group PLC