Press release
AI in Agriculture Market is expected to Hit US$ 15,901.36 million by 2032 | Major Companies - Microsoft, IBM, Granular Inc., Google LLC, Deere & Company
AI in Agriculture Market
The Global AI in Agriculture Market Size reached US$ 2,567.54 million in 2024 and is expected to reach US$ 15,901.36 million by 2032, growing with a CAGR of 25.60% during the forecast period 2025-2032.
The AI in Agriculture Market refers to the integration of advanced technologies such as machine learning, computer vision, predictive analytics, and automation into farming practices to enhance productivity and efficiency. It includes solutions for precision farming, crop monitoring, yield prediction, soil analysis, and livestock management. By leveraging real-time data from sensors, drones, and satellites, AI enables farmers to make informed decisions, optimize resource usage, reduce environmental impact, and improve overall agricultural output and sustainability across global farming systems.
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Recent Key Developments of United States:
✅ March 2026: NC State hosted the AI in Agriculture Conference (March 31-April 2), convening over 60 universities and industry groups to advance data-driven innovations for competitive farming systems.
✅ February 2026: Discussions intensified around USDA's $700 million regenerative agriculture pilot, integrating AI for better data insights on financial, weather, and operational factors to boost farm resilience.
✅ January 2026: Washington State launched the "Growing with AI" initiative, uniting tech firms and farmers to tackle ag challenges like climate variability through AI-driven tools. This effort began with webinars and will lead to a key workshop in April.
Recent Key Developments of Japan:
✅ February 2026: Japan advanced climate-tech partnerships using AI to protect rice crops from extreme weather impacts, enhancing quality and sustainability strategies.
✅ January 2026: Growing deployment of AI-powered robotics and autonomous systems in greenhouse and horticulture farming to improve productivity and reduce manual labor dependency.
✅ December 2025: NARO's Smart Agriculture Demonstration Project expanded AI subsidies, focusing on precision tools for cultivation, robotics, and data integration by farming type to combat labor shortages.
List of the Key Players in the AI in Agriculture Market:
Microsoft
IBM
Granular Inc.
AgEagle Aerial Systems Inc.
Google LLC
Deere & Company
Cropin Technology Solutions Private Limited
Bayer AG
KissanAI
Niqo Robotics.
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This Report Covers:
✔ Go-to-market Strategy.
✔ Neutral perspective on the market performance.
✔Development trends, competitive landscape analysis, supply side analysis, demand side analysis, year-on-year growth, competitive benchmarking, vendor identification, and other significant analysis, as well as development status.
✔Customized regional/country reports as per request and country level analysis.
✔ Potential & niche segments and regions exhibiting promising growth covered.
✔ Analysis of Market Size (historical and forecast), Total Addressable Market (TAM), Serviceable Available Market (SAM), Serviceable Obtainable Market (SOM), Market Growth, Technological Trends, Market Share, Market Dynamics, Competitive Landscape and Major Players (Innovators, Start-ups, Laggard, and Pioneer).
Segments Covered in the AI in Agriculture Market:
By Deployment: Cloud, On-Premise.
By Technology: Machine Learning, Predictive Analytics, Computer Vision, Others.
By Offering: Software, Hardware, Service.
By Application: Precision Farming, Drone Analytics, Agriculture Robots, Livestock Monitoring, Labor Management, Others.
By Farm Size: Small (Less Than 5 Hectare), Medium (5 -10 Hectare), Large (Above 10 Hectare).
By End-User: Farmers, Agribusinesses, Others.
Regional Analysis:
⇥ North America (U.S., Canada, Mexico)
⇥ Europe (U.K., Italy, Germany, Russia, France, Spain, The Netherlands and Rest of Europe)
⇥ Asia-Pacific (India, Japan, China, South Korea, Australia, Indonesia Rest of Asia Pacific)
⇥ South America (Colombia, Brazil, Argentina, Rest of South America)
⇥ Middle East & Africa (Saudi Arabia, U.A.E., South Africa, Rest of Middle East & Africa)
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Chapter Outline
⏩ Market Overview: It contains five chapters, as well as information about the research scope, major manufacturers covered, market segments, AI in Agriculture market segments, study objectives, and years considered.
⏩ Market Landscape: The competition in the Global AI in Agriculture Market is evaluated here in terms of value, turnover, revenues, and market share by organization, as well as market rate, competitive landscape, and recent developments, transaction, growth, sale, and market shares of top companies.
⏩ Companies Profiles: The Global AI in Agriculture market's leading players are studied based on sales, main products, gross profit margin, revenue, price, and growth production.
⏩ Market Outlook by Region: The report goes through gross margin, sales, income, supply, market share, CAGR, and market size by region in this segment. North America, Europe, Asia Pacific, Middle East & Africa, and South America are among the regions and countries studied in depth in this study.
⏩ Market Segments: It contains the deep research study which interprets how different end-user/application/type segments contribute to the AI in Agriculture Market.
⏩ Market Forecast: Production Side: In this part of the report, the authors have focused on production and production value forecast, key producers forecast, and production and production value forecast by type.
⏩ Research Findings: This section of the report showcases the findings and analysis of the report.
⏩ Conclusion: This portion of the report is the last section of the report where the conclusion of the research study is provided.
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People Also Ask:
◆ How big is the AI in Agriculture Market in 2025?
◆ What is the projected growth rate of the AI in Agriculture Market through 2033?
◆ Who are the key players in the AI in Agriculture Market?
◆ Which region is expected to dominate the industry during the forecast period?
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