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Artificial Intelligence (AI) In Agriculture Market Growth Outlook: How Much Bigger Will The Market Be By 2030?
The market size for artificial intelligence (AI) in agriculture has experienced substantial growth in recent years. It is forecast to expand from $2.71 billion in 2025 to $3.37 billion in 2026, exhibiting a compound annual growth rate (CAGR) of 24.5%. This historical growth can be attributed to escalating food demand, the early adoption of farm automation, progress in sensor technologies, the development of precision agriculture, and the imperative for better crop productivity.
The market for artificial intelligence (AI) in agriculture is projected to experience substantial growth in the coming years. It will grow to $8.23 billion in 2030 at a compound annual growth rate (CAGR) of 25.0%. This expansion during the forecast period is driven by factors such as the increasing embrace of smart farming methods, demands for efficiency due to climate change, the proliferation of agricultural robotics, governmental backing for digital agricultural initiatives, and heightened investment in agricultural technology. Key developments anticipated in this period encompass precision farming technologies, AI-powered systems for crop monitoring, self-driving agricultural equipment, advanced predictive yield analysis, and intelligent solutions for resource management.
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How Is The Key Growth Driver Influencing The Artificial Intelligence (AI) In Agriculture Market?
The demand for greater food production to ensure food security is projected to fuel the expansion of artificial intelligence (AI) in the agriculture market in the future. Food security refers to the condition where all individuals consistently have physical, social, and economic access to sufficient, safe, and nutritious food that meets their dietary needs and food preferences for an active and healthy life. AI has the capability to optimize farming processes, enhance crop yields, and analyze extensive datasets, including weather trends, soil characteristics, and crop vitality, thereby providing farmers with immediate insights and precise recommendations. This technology facilitates better decisions regarding irrigation, fertilization, pest control, and harvesting, leading to increased productivity, reduced waste, maximized food output, and strengthened global food security. As an illustration, in April 2025, the United States Department of Agriculture, a government agency based in the US, reported an upward revision of the 2024/25 global rice production forecast by 3.1 million tons, reaching an unprecedented 535.8 million (milled basis), which is nearly 3% higher than the previous year. Consequently, the heightened need for food production to ensure food security is a key factor propelling the expansion of the AI in agriculture market.
Artificial Intelligence (AI) In Agriculture Market Segmentation By Category: What Does The 2026 Report Cover?
The artificial intelligence (AI) in agriculture market covered in this report is segmented –
1) By Component: Hardware, Software, Services
2) By Technology: Machine Learning, Predictive Analysis, Computer Vision
3) By Deployment: Cloud, On-Premise, Hybrid
4) By Application: Precision Farming, Agriculture Robots, Livestock Monitoring, Drone Analytics, Labor Management, Other Applications
Subsegments:
1) By Hardware: Sensors, Drones, Imaging Systems, Robotics, Automated Equipment
2) By Software: Data Analytics Platforms, Farm Management Software, AI-Based Prediction Tools, Image Processing Software
3) By Services: Consulting Services, System Integration Services, Maintenance And Support Services
How Are Industry Players Changing The Artificial Intelligence (AI) In Agriculture Market Landscape?
Leading companies operating in the artificial intelligence (AI) in the agriculture market are prioritizing the development of product innovations, including transformative platforms, to improve yield forecasting, enhance decision-making, and encourage sustainable farming techniques. A ‘groundbreaking platform’ signifies an innovative system or technology that revolutionizes practices within a field, establishing new standards and stimulating further advancements; it often addresses previously unmet needs and introduces novel solutions. For instance, in September 2024, Helios AI, a US-based software company, launched CommodiTrack. This advanced platform by Helios AI incorporates comprehensive climate risk data and predictive analytics to bolster the resilience of the agrifood supply chain, providing users with actionable insights that enable them to respond quickly to market volatility and disruptions.
Artificial Intelligence (AI) In Agriculture Market Global Key Players And Competitive Overview
Major companies operating in the artificial intelligence (AI) in agriculture market are Google LLC; Microsoft Corporation; IBM Corporation; Bayer AG; John Deere; Oracle Corporation; CNH Industrial N.V.; Wipro Limited.; Valmont Industries Inc.; Raven Industries Inc.; Climate LLC; Granular Inc.; Ag Leader Technology Inc.; FarmWise Labs Inc.; Taranis; Ceres Imaging; AgEagle Aerial Systems Inc.; PrecisionHawk; Descartes Labs Inc.; Farmobile LLC; AppHarvest; Farmers Edge Inc.; Iron Ox; Prospera Technologies; aWhere Inc.; Agribotix; Abundant Robotics; Agworld; Harvest Croo Robotics; Gamaya SA; Tule Technologies
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Regional Analysis Of The Artificial Intelligence (AI) In Agriculture Market: Where Is The Industry Concentrated?
North America was the largest region in the artificial intelligence (AI) in agriculture market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence (AI) in agriculture market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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Wasay has over a decade of experience in market research, data modelling, and analytics, with prior experience at GlobalData and Decision Tree Consulting Services. At The Business Research Company , he leads research operations across syndicated studies, customized consulting engagements, and the Global Market Model platform. His professional experience includes supporting organizations such as Boston Consulting Group, KPMG, and Ernst & Young. Wasay holds a degree in Electronics and Communications Engineering, postgraduate management qualifications from International Management Institute Belgium and Indian School of Business and Entrepreneurship, and completed the Integrated Program in Business Analytics from Indian Institute of Management Indore.
