Applied AI In Agriculture Market Report 2026

Applied AI In Agriculture Market Overview

• Applied AI In Agriculture market size has reached to $3.75 billion in 2025 • Expected to grow to $13.57 billion in 2030 at a compound annual growth rate (CAGR) of 29.3% • Growth Driver: Increasing Crop Productivity As A Key Driver For The Growth Of Applied AI In Agriculture Market • Market Trend: Innovative AI-Based Tools Enhance Agricultural Practices • North America was the largest region in 2025.

What Is Covered Under Applied AI In Agriculture Market?

Applied artificial intelligence (AI) in agriculture refers to the practical application of artificial intelligence technologies in farming and agricultural practices to optimize and enhance various processes. It involves the use of AI-driven tools and systems to analyze data, automate tasks, and provide actionable insights that improve decision-making and efficiency in agriculture. The main components of applied AI in agriculture are hardware, software, and services. Hardware in applied AI in agriculture refers to the physical devices and equipment used to implement AI technologies. This includes sensors, drones, cameras, and other machinery that gather data from the field. Various technologies, such as machine learning and deep learning, predictive analytics, and computer vision, are used in various applications, mainly precision farming, drone analytics, agriculture robots, livestock monitoring, and others.

What Is The Applied AI In Agriculture Market Growth Forecast?

The applied ai in agriculture market size is expected to see exponential growth in the next few years. It will grow to $13.57 billion in 2030 at a compound annual growth rate (CAGR) of 29.3%. The growth in the forecast period can be attributed to rising use of AI-enabled predictive analytics, increasing deployment of autonomous agricultural machinery, growing investment in digital farm platforms, expansion of ai-driven livestock monitoring, demand for sustainable farming supported by ai solutions. Major trends in the forecast period include growing adoption of AI-based crop and soil health assessment, expansion of data-driven farm decision-making practices, rising integration of automation in large-scale farming operations, increasing demand for real-time agricultural monitoring solutions, greater focus on ai-supported yield enhancement techniques.

Global Applied AI In Agriculture Market Segmentation

1) By Component: Hardware, Software, Service 2) By Technology: Machine Learning And Deep Learning, Predictive Analytics, Computer Vision 3) By Application: Precision Farming, Drone Analytics, Agriculture Robots, Livestock Monitoring, Other Applications Subsegments: 1) By Hardware: Sensors (Soil, Climate, Crop Monitoring), Drones For Crop Surveillance, Automated Tractors And Harvesters, GPS & GIS Systems For Precision Farming, Imaging Systems, IoT Devices For Agricultural Monitoring, Robotics For Seeding, Planting, And Weeding 2) By Software: Farm Management Software, AI-Based Crop Prediction Software, Precision Agriculture Software, Irrigation Management Software, Pest And Disease Detection Software, Data Analytics And Visualization Tools, Supply Chain Optimization Software, Machine Learning Algorithms For Yield Prediction 3) By Service: AI Integration And Implementation Services, Data Analytics Services For Crop And Soil Analysis, Cloud-Based Agricultural Services, AI Model Training And Customization Services, Maintenance And Support Services, Consultation And Advisory Services For AI Adoption In Agriculture

What Is Driver Of The Applied AI In Agriculture Market?

The increasing crop productivity is expected to propel the growth of the applied AI in agriculture market going forward. Crop productivity refers to the measure of the output of crops, typically expressed in terms of yield per unit area of land. Crop productivity is rising due to advancements in agricultural technology and practices, such as improved crop varieties, efficient irrigation methods, and the use of precision farming techniques. Applied AI in agriculture enhances crop productivity by optimizing farming practices through data-driven insights, predictive analytics, and automation. For instance, in January 2024, according to the United States Department of Agriculture, a US-based federal executive department responsible for developing and executing federal laws, the average yield for all United States rice was estimated at 7,649 pounds per acre in 2023, up 264 pounds from the 2022 average yield of 7,385 pounds per acre. Therefore, increasing crop productivity is driving the applied AI in agriculture industry.

Key Players In The Global Applied AI In Agriculture Market

Major companies operating in the applied ai in agriculture market are Microsoft Corporation, BASF SE, International Business Machines Corporation, Bayer AG, Deere & Company, SAP SE, CNH Industrial N.V., Kubota Corporation, Corteva Inc., AGCO Corporation, Trimble Inc., Raven Industries Inc., The Climate Corporation, AG Leader Technology, The BAE Systems Taranis, Farmers Edge Inc., PrecisionHawk, AgEagle Aerial Systems, Descartes Labs Inc., Prospera Technologies Ltd., Agribotix, Gamaya

Global Applied AI In Agriculture Market Trends and Insights

Major companies operating in the applied AI in agriculture market are increasing their focus on developing innovative solutions, such as AI-based tools, to sustain their position in the market. AI-based tools refer to software and technologies that utilize artificial intelligence to enhance various aspects of farming and agricultural practices. For instance, in July 2024, Google LLC, a US-based technology company, launched an innovative AI-based tool called Agricultural Landscape Understanding (ALU) to enhance agricultural practices in India, with a focus on drought preparedness and irrigation management. This tool uses high-resolution satellite imagery and machine learning to provide customized insights for individual farm fields, addressing the diverse needs of India's agricultural landscape. By defining clear field boundaries, the ALU tool can analyze various factors such as crop type, field size, and proximity to water sources, which are crucial for effective irrigation and drought management strategies. The goal of this initiative is to empower farmers by improving crop yields, facilitating access to capital, and enhancing market access for agricultural products.

What Are Latest Mergers And Acquisitions In The Applied AI In Agriculture Market? PTx Trimble's Acquisition Of Bilberry To Bolster Precision Agriculture With AI-Driven Selective Spraying Technologies

In August 2023, PTx Trimble, a US-based farming company, acquired Bilberry for an undisclosed amount. This acquisition is aimed at enhancing Trimble's capabilities in precision agriculture, particularly in the area of selective spraying technologies. Bilberry is a US-based company that develops AI-driven weed recognition systems that enable precision herbicide application.

Regional Outlook

North America was the largest region in the applied AI in agriculture market in 2025. The regions covered in this market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in this market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain

What Defines the Applied AI In Agriculture Market?

The applied AI in agriculture market consists of revenues earned by entities by providing services such as crop management, livestock monitoring, soil analysis, weather prediction, pest and disease detection, and supply chain optimization. The market value includes the value of related goods sold by the service provider or included within the service offering. The applied AI in agriculture market also includes sales of sensors, robots, satellite imagery systems, and field cameras. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

How is Market Value Defined and Measured?

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified). The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

What Key Data and Analysis Are Included in the Applied AI In Agriculture Market Report 2026?

The applied ai in agriculture market research report is one of a series of new reports from The Business Research Company that provides market statistics, including industry global market size, regional shares, competitors with the market share, detailed market segments, market trends and opportunities, and any further data you may need to thrive in the applied ai in agriculture industry. The market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future state of the industry.