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Artificial Intelligence (AI) In Agriculture Market Revenue Outlook: What CAGR Lies Ahead Through 2030?
The artificial intelligence (AI) in agriculture market has experienced substantial growth in recent years. Its market size is anticipated to rise from $2.71 billion in 2025 to $3.37 billion in 2026, achieving a compound annual growth rate (CAGR) of 24.5%. This historical expansion can be attributed to several factors, including increasing food demand, the early adoption of farm automation, advancements in sensor technologies, the ongoing growth of precision agriculture, and the persistent need for improved crop productivity.
The artificial intelligence (AI) in agriculture market size is projected to experience substantial growth in the upcoming years. It is anticipated to expand to $8.23 billion by 2030, exhibiting a compound annual growth rate (CAGR) of 25.0%. This projected growth during the forecast period can be linked to the increasing adoption of smart farming practices, efficiency requirements driven by climate change, the expansion of agri robotics, governmental support for digital agriculture, and heightened investment in agricultural technology. Significant trends anticipated for this period include precision farming technologies, AI-powered crop monitoring systems, autonomous agricultural machinery, predictive yield analytics, and intelligent resource management solutions.
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Artificial Intelligence (AI) In Agriculture Market Growth Factors Behind Sustained Expansion
The demand for greater food production to ensure food security is projected to fuel the expansion of artificial intelligence (AI) within the agriculture market in the future. Food security involves the availability, access, and utilization of sustenance that meets individuals’ dietary requirements and preferences for a healthy and active lifestyle, guaranteeing sufficient access to safe and nutritious food for all. AI has the capability to optimize farming practices, boost crop output, and analyze vast quantities of data, including weather trends, soil characteristics, and crop vitality, thereby providing cultivators with immediate insights and precise recommendations. This technology facilitates better decisions concerning irrigation, fertilization, pest control, and harvesting, leading to enhanced productivity, reduced waste, maximized food production, and strengthened global food security. As an illustration, in April 2025, the United States Department of Agriculture, a government body based in the US, reported that the projected global rice production for 2024/25 saw an increase of 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 propelling the expansion of the AI in agriculture market.
Artificial Intelligence (AI) In Agriculture Market Segments: Where Is Growth Concentrated?
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
Artificial Intelligence (AI) In Agriculture Market Industry Trends Fueling Future Revenue Growth
Major companies operating in artificial intelligence (AI) in the agriculture market are concentrating on developing novel product innovations, such as pioneering platforms, to boost yield predictions, enhance decision-making processes, and foster sustainable farming methods. A ‘groundbreaking platform’ refers to an advanced system or technology that revolutionizes practices within a given field, establishing new standards and inspiring further progress. It frequently addresses unmet demands and introduces innovative solutions. For example, in September 2024, Helios AI, a US-based software company, launched CommodiTrack, an advanced platform by Helios AI that integrates extensive climate risk data and predictive analytics to strengthen the resilience of the agrifood supply chain. This empowers users with practical insights, enabling them to react quickly to market volatility and disruptions.
Artificial Intelligence (AI) In Agriculture Market Key Participants And Competitive Landscape
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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Artificial Intelligence (AI) In Agriculture Market Geographic Analysis: Where Is Demand Rising Fastest?
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.
