AI In Precision Farming Market Report 2026

AI In Precision Farming Market Overview

• AI In Precision Farming market size has reached to $0.94 billion in 2025 • Expected to grow to $2.08 billion in 2030 at a compound annual growth rate (CAGR) of 16.7% • Growth Driver: The Growth Of The AI In Precision Farming Market Is Being Propelled By The Limited Availability Of Arable Land • Market Trend: AI-Powered Data Platforms Revolutionizing Farm Decision-Making • North America was the largest region in 2025 and Europe is the fastest growing region.

What Is Covered Under AI In Precision Farming Market?

AI in precision farming refers to the incorporation of artificial intelligence (AI) technologies into agricultural processes in order to maximize crop yield, reduce resource consumption, and increase overall farm efficiency. It is used to enable farmers to make data-driven decisions that enhance productivity, sustainability, and profitability. The main types of AI in precision farming encompass machine learning, computer vision, and others. Machine learning refers to a branch of artificial intelligence that enables systems to automatically learn and improve from experience without being explicitly programmed by analyzing data and identifying patterns to make predictions or decisions. It is offered in various forms, including hardware, software, AI-as-a-service, and services, for various applications such as experimental study, farm management, private planting, and others.

What Is The AI In Precision Farming Market Growth Forecast?

The ai in precision farming market size is expected to see rapid growth in the next few years. It will grow to $2.08 billion in 2030 at a compound annual growth rate (CAGR) of 16.7%. The growth in the forecast period can be attributed to growing need for sustainable farming practices, rising adoption of AI-based analytics, increasing deployment of precision agriculture tools, expansion of connected farm ecosystems, rising demand for optimized crop yields. Major trends in the forecast period include increasing demand for data-driven crop optimization, rising use of automated field monitoring tools, growing adoption of precision soil and input management, expansion of smart irrigation and resource efficiency practices, enhanced focus on minimizing crop loss through early detection technologies.

Global AI In Precision Farming Market Segmentation

1) By Type: Machine Learning, Computer Vision, Other Types 2) By Offering: Hardware, Software, AI-as-a-Service, Service 3) By Application: Experimental Study, Farm Management, Private Planting, Other Applications Subsegments: 1) By Machine Learning: Predictive Analytics For Crop Yields, Soil Quality Monitoring, Pest And Disease Detection, Crop Growth Prediction 2) By Computer Vision: Crop And Weed Identification, Field Monitoring Through Drones, Crop Damage Detection, Automated Harvesting Systems 3) By Other Types: Robotics In Farming, Natural Language Processing (NLP) For Farm Data Analysis, AI-Powered Irrigation Systems

What Is Driver Of The AI In Precision Farming Market?

The limited availability of arable land is expected to propel the growth of the AI in precision farming market going forward. Arable land refers to land that is suitable for agricultural cultivation, specifically for growing crops. There is limited availability of arable land due to several factors, including urbanization, soil degradation, and climate change pressures. AI in precision farming addresses the challenges of limited arable land by optimizing resource usage and enhancing crop productivity through data-driven decisions and targeted interventions. For instance, in August 2023, according to the The U.S. Department of Agriculture (USDA), a US-based government department, in 2023, the average value of U.S. farm real estate, which includes all land and buildings on farms, reached $4,080 per acre, an increase of $280 per acre, or 7.4%, compared with 2022. Therefore, the limited availability of arable land is driving the growth of the AI in precision farming industry.

Key Players In The Global AI In Precision Farming Market

Major companies operating in the ai in precision farming market are Microsoft Corporation, Robert Bosch GmbH, Intel Corporation, International Business Machines Corporation, Bayer AG, Deere & Company, SAP SE, Yara International ASA, DTN LLC, FarmWise Labs Inc., Taranis Visual Ltd., Blue River Technology Inc., Agworld Inc., Ceres Imaging Inc., PrecisionHawk Inc., FarmLogs Inc., Prospera Technologies Ltd., Arable Labs Inc., Agribotix LLC, Resson Aerospace Corporation

Global AI In Precision Farming Market Trends and Insights

Major companies operating in the artificial intelligence (AI) in the precision farming market are focusing on developing technological advancements such as digital agronomy platforms to enhance data-driven crop management, optimize resource use, and improve overall farm productivity. Digital agronomy platform refers to an integrated software system that combines data analytics, remote sensing, and AI technologies to provide real-time insights and decision support for optimizing crop production and farm management practices. For instance, in January 2023, Precision Planting, a US-based agricultural technology company, launched a new data app for farmers called Panorama. It provides farmers with easy access to detailed agronomic data from the Gen 3 20|20 monitor, allowing them to view row-by-row maps, field reports, and yield comparisons on their phone or computer. It simplifies data management by automatically syncing data and enabling remote support from dealers, helping farmers make better-informed decisions for planting and crop management. The app's purpose is to give an unobstructed, portable view of farm data to optimize efficiency and improve overall crop performance.

What Are Latest Mergers And Acquisitions In The AI In Precision Farming Market? GEA Group AG Acquires CattleEye Ltd. To Enhance AI Solutions For Dairy Farming

In March 2024, GEA Group AG, a Germany-based industrial machinery company, acquired CattleEye Ltd. for an undisclosed amount. With this acquisition, GEA strengthened its portfolio by integrating CattleEye's advanced AI solution for early detection of lameness in dairy cows, further solidifying its commitment to improving animal health and welfare as part of its Next Generation Farming strategy. CattleEye Ltd. is a UK-based agricultural software company that develops artificial intelligence (AI) solutions for precision farming, specifically for the dairy farming industry.

Regional Outlook

North America was the largest region in the AI in precision farming market in 2025. Europe is expected to be the fastest-growing region in the forecast period. 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 AI In Precision Farming Market?

The AI in precision farming market consists of revenues earned by entities by providing services such as data analytics services, integration services, and telematics services. The market value includes the value of related goods sold by the service provider or included within the service offering. The AI in precision farming market also includes sales of sensors, drones with imaging systems, satellite imaging systems, automated farming equipment, and IoT devices used to increase agriculture productivity. 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 AI In Precision Farming Market Report 2026?

The ai in precision farming 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 ai in precision farming 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.