AI In Agriculture Market Report 2025 | Trends, Forecast by 2033

Global AI In Agriculture Market Statistics: USD 13.0 Billion Value by 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.

Industry Trends and Drivers:

• Increasing demand for food production:

Populations are increasing in all parts of the world, so farmers are keen to explore the possibility of increasing crop yields without negatively affecting the ecosystem. Recommendations for the organization of crops, ways to provide water supply, pests, and soil conditions can be obtained from AI. It is also assisting in forecasting the weather and thus farmers are following all kinds of farming methods depending on the conditions. As a result, by adopting the use of artificial intelligence in the agriculture sector, the agriculture sector is helping to feed the growing population around the world, using fewer resources and energy to help boost food security around the world, while at the same time reducing wastage between crops.

• Cost efficiency and shortage of laborers:

This has made automation and robotics AI technologies important as there is cost inflation of labour and shortage of skilled workers. Such systems are gradually being incorporated in the management of systems in agricultural practices; activities like planting and monitoring of the crop or even harvesting which aids in reducing the dependency on human resource. It also enhances the operational efficiency as it involves handling huge data and deciding on the use of resources or crop health and frequency of irrigation. To boost the overall cost control and its productivity and ensure that the agriculture business remains economically viable given the current issues on labour, AI is beneficial for the management exercise which takes many man hours and rationalization on factors like water and fertilizer that would have been spent in the process.

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

The Internet of Things such as sensors, drones and weather stations are now in a position to provide continuous information about crops, soil and other seasonal conditions. It is this data that is handled by AI systems to provide suggestions on issues such as irrigation, fertilizer and pest control to help farmers make accurate decisions in these areas. These include the leap of AI in farming by increasing efficiency and sustainability in addition to reducing resource use, wastage and increasing yields. The use of four skills in making farming smart by automating processes in agriculture to increase productivity.

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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

Note: If you need specific information that is not currently within the scope of the report, we will provide it to you as a part of the customization.

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