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.

Industry Trends and Drivers:

• Increasing demand for food production:

As the global population is growing, farmers are focusing on ways to increase crop yields while maintaining sustainability. Artificial intelligence (AI) is helping in optimizing crop management through data-driven insights, improving irrigation, pest control, and soil health monitoring. It is also assisting in predicting weather patterns, enabling farmers to adapt to varied farming practices as per changing conditions. By utilizing AI for precision farming, the agriculture sector is meeting the growing demand for food with limited resources, maximizing efficiency, and reducing waste, ultimately improving food security across the globe.

• Cost efficiency and shortage of laborers:

With rising labor costs and shortages of skilled workers, AI technologies like automation and robotics are becoming vital. These systems are streamlining farm operations, handling tasks, such as planting, monitoring, and harvesting the crop, which assists in reducing the reliance on manual labor. AI also enhances operational efficiency by analyzing large amounts of data and making decisions on resource management, crop health, and irrigation schedules. By automating labor-intensive activities and optimizing inputs like water and fertilizers, AI is helping in reducing costs while increasing farm productivity and ensuring that farming operations remain viable in the face of labor challenges.

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

The development of IoT devices, such as sensors, drones, and weather stations, are enabling real-time data collection on crop health, soil conditions, and environmental factors. AI systems are processing this data for providing farmers with actionable insights, allowing for precise decision-making in areas, such as irrigation, fertilization, and pest control. With the integration of these advanced technologies, AI is improving efficiency and sustainability in farming while optimizing resources, reducing waste, and increasing yields. AI's role in automating processes and enhancing farming practices, making agriculture smarter and more productive.

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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