AI in Agriculture Market is expected to reach US$ 15,901.36 million by 2032 | Major players - Microsoft, IBM, Granular Inc., Google LLC, Deere & Company.

Market Size and Growth:

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 Market is growing rapidly due to increasing adoption of precision farming technologies and the rising need for efficient, data-driven crop management solutions. According to DataM Intelligence Report.

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The AI in Agriculture Market refers to the sector focused on integrating artificial intelligence technologies such as machine learning, computer vision, and robotics into farming practices. It encompasses solutions for crop monitoring, precision farming, predictive analytics, automated irrigation, and pest management, aiming to enhance productivity, reduce resource usage, optimize yields, and support sustainable, data-driven agricultural operations worldwide.

United States: Recent Developments of AI in Agriculture Market

✅ July 2025: A leading university partnered with agritech firms to deploy autonomous drones for precision pesticide application in large-scale farms.

✅ August 2025: A major Midwest startup launched an AI-powered crop monitoring system using machine vision to predict and prevent pest outbreaks in real time.

✅ June 2025: The U.S. Department of Agriculture released its first comprehensive AI Strategy for fiscal years 2025-26, promoting AI integration in national agriculture decision-making and sustainable productivity.

Japan: Recent Developments of AI in Agriculture Market

✅ September 2025: Collaborations emphasize integration of AI and drones in agriculture, focusing on precision agriculture and intelligent robotic systems.

✅ October 2025: Japan's agriculture sector advances AI-driven autonomous machinery, crop monitoring sensors, and predictive analytics to address labor shortages and improve efficiency amid aging farmer population.

✅ November 2025: Government incentives and private investments support AI adoption in agriculture, overcoming regulatory and technological barriers, with emphasis on sustainability, product traceability, and eco-friendly practices.

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Major Players:

Key companies in the AI in Agriculture market include:

Microsoft
IBM
Granular Inc.
AgEagle Aerial Systems Inc.
Google LLC
Deere & Company
Cropin Technology Solutions Private Limited
Bayer AG
KissanAI
Niqo Robotics.

Market Growth Drivers:

✅ Increasing global food demand driven by population growth, which pressures farmers to adopt advanced AI technologies to improve crop productivity and efficiency.

✅ Technological advancements in AI such as precision farming, drone analytics, robotics, and sensors that enable real-time monitoring, resource optimization, and automation in agricultural practices.

✅ Addressing challenges like labor shortages, sustainability concerns, and climate change by using AI for smarter farming decisions, resource conservation, and operational efficiency.

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 for AI in Agriculture Market:

⇥ 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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Frequently asked questions:

➠ What is the global sales value, production value, consumption value, import and export of AI in Agriculture market?

➠ Who are the global key manufacturers of the AI in Agriculture Industry? How is their operating situation (capacity, production, sales, price, cost, gross, and revenue)?

➠ What are the AI in Agriculture market opportunities and threats faced by the vendors in the global AI in Agriculture Industry?

➠ Which application/end-user or product type may seek incremental growth prospects? What is the market share of each type and application?

➠ What focused approach and constraints are holding the AI in Agriculture market?

➠ What are the different sales, marketing, and distribution channels in the global industry?

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