United States AI in Agriculture Market Surges with Advanced Robotics and Predictive Analytics 2025 | Major key players - Microsoft, IBM, Granular Inc.

Market Size and Growth:

The Global AI in Agriculture Market size reached US$ 1.7 billion in 2023 and is expected to reach US$ 8.97 billion by 2031, growing with a CAGR of 23.1% during the forecast period 2024-2031.

The AI in Agriculture Market report, published by DataM Intelligence, provides in-depth insights and analysis on key market trends, growth opportunities, and emerging challenges. Committed to delivering actionable intelligence, DataM Intelligence empowers businesses to make informed decisions and stay ahead of the competition. Through a combination of qualitative and quantitative research methods, it offers comprehensive reports that help clients navigate complex market landscapes, drive strategic growth, and seize new opportunities in an ever-evolving global market.

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The AI in Agriculture Market involves the use of artificial intelligence technologies to enhance farming efficiency, productivity, and sustainability. It includes precision farming, crop monitoring, soil analysis, automated irrigation, and predictive analytics. By leveraging AI-driven solutions, farmers can optimize resource utilization, reduce costs, improve yield quality, and make data-driven decisions, transforming traditional agriculture into smart, technology-driven practices.

Recent Key Developments of United States (U.S):

AI-Powered Harvesting Robots: Companies like John Deere and Harvest CROO Robotics have introduced autonomous fruit-picking robots for large orchards in California and automated strawberry harvesters in Florida. These machines use AI vision systems to identify ripened produce, aiming to reduce labor costs and address seasonal labor shortages. (September 2025)

Precision Weeding Robots: Agrobot launched precision weeding robots for vegetable farms that use mechanical removal to minimize herbicide use. Similarly, Blue River Technology expanded its "See & Spray" robotic system in the Midwest, which uses AI to identify and treat weeds with high accuracy. These developments are focused on improving crop health and soil sustainability. (August 2025 and July 2025)

AI for Predictive Crop Management: A collaboration between Syngenta and Heritable Agriculture is leveraging AI to analyze historical data on geographical conditions and crop trials. The goal is to predict the best-performing vegetable varieties for specific regions and climates, helping growers make data-driven decisions on a global scale. (September 2025)

AI-Powered Irrigation Systems: Researchers at the University of California, Merced, have installed an AI-powered irrigation system in an almond orchard. The system uses sensors to measure soil moisture and an algorithm to determine the precise amount of water needed for each tree, aiming to conserve water and reduce costs for growers. (September 2025)

Data Analytics for Sustainable Farming: A new report from the Association of Equipment Manufacturers highlights the growing impact of precision agriculture. The report shows that farms using AI-powered precision techniques have increased productivity by six to seven percent, while also reducing the use of herbicides and fertilizers. This trend emphasizes the role of AI in promoting both economic gains and environmental sustainability. (September 2025)

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.

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).

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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:

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