Global AI In Agriculture Industry: Key Statistics and Insights in 2025-2033

Summary:

• The global AI in agriculture market size reached USD 2.2 Billion in 2024.
• The market is expected to reach USD 13.0 Billion by 2033, exhibiting a growth rate (CAGR) of 19.48% during 2025-2033.
• North America leads the market, accounting for the largest AI in agriculture market share.
• Software holds the majority of the market share in the offering segment because it provides essential tools for data analysis, decision-making, and automation. 
• Machine learning exhibits a clear dominance in the AI in agriculture industry.
• Precision farming remains a dominant segment in the market due to its ability in optimizing inputs like water, fertilizer, and labor.
• The increasing demand for food around the world is a primary driver of the AI in agriculture market.
• Technological advancements and the integration of Internet of Things (IoT) are reshaping the AI in agriculture market.

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Industry Trends and Drivers:

• Increasing demand for food production:

Since population is increasing all over the world, farmers are interested in the possibilities of improving crop productivity without damaging the environment. AI is useful to provide recommendations for crop organization, water supply, pest and soil condition analyses. It is also helping in prognosis of the weather and thereby farmers following, all kinds of different farming techniques according to the circumstances. By embracing the use of AI in precision farming the agriculture segment is feeding the ever growing population with minimal resources while at the same time promoting efficiency and minimizing wastage hence promoting food security worldwide.

• Cost efficiency and shortage of laborers:

This has made the automation and robotics AI technologies crucial since there is inflation of labor costs and shortage of skills’ labor. These systems are increasingly being adopted in the management of systems in farm practices, tasks such as planting and monitoring of the crop or harvesting which helps in minimization of the use of manpower. AI also increases operational productivity as it involves dealing with tons of data and reaching decisions on usage of resources, crop health and irrigation frequency. Through automating exercise that requires many man-hours and rationalising on inputs such as water and fertilisers, AI is helpful in managing costs while at the same time enhancing farm output and ensuring that farming business remains profitable in light of labour issues.

• Technological advancements and integration of Internet of Things (IoT):

Internet of Things like sensors, drones and weather station are now in a position to provide continuous information about crops, soil and other seasonal conditions. This is the data which is handled by the AI systems to supply the farmers with suggestions on issues like irrigation, fertilization and pest control to make accurate decisions in these fields. TheseincludeAI leap in farming by enhancing efficiency and sustainability apart from minimizing the use of resources, wastage, and enhancing yields. The use of the four skills in making farming smarter by automating processes in agriculture so as to increase productivity.

Our report provides a deep dive into the AI in agriculture market analysis, outlining the current trends, underlying market demand, and growth trajectories.

AI In Agriculture Market Report Segmentation:

Breakup By Offering:

• Software
• Hardware
• AI-as-a-Service
• Services

Software represents the largest segment because AI software enables a wide range of applications, ranging from crop monitoring to predictive analytics, making it essential for farming operations.

Breakup By Technology:

• Machine Learning
• Computer Vision
• Predictive Analytics

Machine learning accounts for the majority of the market share as it allows for data-driven insights, optimizing farming practices, such as yield prediction, pest management, and soil health analysis.

Breakup By Application:

• Precision Farming
• Agriculture Robots
• Livestock Monitoring
• Drone Analytics
• Labor Management
• Others

Precision farming exhibits a clear dominance in the market because it enables farmers in optimizing resources, and increasing crop yields through data-driven and technology-based approaches.

Breakup By Region:

• North America (United States, Canada)
• Asia Pacific (China, Japan, India, South Korea, Australia, Indonesia, Others)
• Europe (Germany, France, United Kingdom, Italy, Spain, Russia, Others)
• Latin America (Brazil, Mexico, Others)
• Middle East and Africa

North America enjoys the leading position in the AI in agriculture market due to its high adoption of advanced agricultural technologies, robust investments, and government initiatives promoting AI solutions.

Top AI In Agriculture Market Leaders:

The AI in agriculture market research report outlines a detailed analysis of the competitive landscape, offering in-depth profiles of major companies. Some of the key players in the market are:

• A.A.A Taranis Visual Ltd.
• Ag Leader Technology
• AgEagle Aerial Systems Inc.
• Bayer AG
• Deere & Company
• Gamaya
• Granular Inc. (DuPont de Nemours, Inc.)
• International Business Machines Corporation
• Raven Industries Inc.
• Trimble Inc.
• Oracle Corporation
• Wipro Limited

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