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 enables farmers to analyze data and make informed decisions for optimizing crop production.
• Machine learning exhibits a clear dominance in the AI in agriculture industry.
• Precision farming remains a dominant segment in the market, as it improves productivity and reduces environmental impact.
• The rising demand for precision farming is a primary driver of the AI in agriculture market.
• Climate change and environmental challenges are reshaping the AI in agriculture market.

Industry Trends and Drivers:

• Rising demand for precision farming:

The increasing demand for precision farming, which focuses on improving crop yields, resource efficiency, and cost-effectiveness, is impelling the market growth. Precision farming relies on artificial intelligence (AI)-driven technologies like satellite imaging, machine learning algorithms, and Internet of Things (IoT) sensors, which aid farmers in gathering and analyzing vast amounts of data on soil quality, crop health, weather conditions, and pest activity. AI tools also provide predictive analytics that can anticipate crop diseases and environmental risks, allowing farmers to respond proactively. As a result, the rising integration of precision farming with AI is helping in reducing input costs and enhancing yields, thereby propelling the market growth.

• Climate change and environmental challenges:

Rising environmental challenges are encouraging the adoption of compliant and data-driven farming solutions, which is offering a favorable market outlook. As extreme weather events, droughts, soil degradation, and changing pest patterns are disrupting traditional farming, the demand for AI tools that help farmers make informed decisions about optimal planting, irrigation, and fertilization schedules, is increasing. Additionally, AI technology supports sustainable practices like precision agriculture, which minimizes chemical use and water waste by mitigating the environmental impact of farming. By enabling more resilient and efficient farming, AI helps farmers adapt to and counteract climate-related challenges, thereby supporting the market growth.

• Labor shortages in agriculture:

The increasing adoption of AI technologies that can offer solutions to mitigate the impact of reduced workforce availability is positively influencing the market. With fewer people available for tasks, such as planting, weeding, harvesting, and monitoring crops, farmers are utilizing AI-enabled automation tools to fill these gaps. Robotics, AI-guided machinery, and computer vision systems can handle repetitive and labor-intensive tasks with greater precision and consistency than manual labor, which reduces dependency on human workers. Additionally, autonomous tractors, robotic harvesters, and automated irrigation systems allow farms to operate efficiently despite limited labor. AI-driven solutions also help in reducing operational costs and increasing productivity, thereby supporting the market growth.

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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 on account of rising advancements in cloud computing and mobile applications, which are making AI software more accessible and scalable.

Breakup By Technology:

• Machine Learning
• Computer Vision
• Predictive Analytics

Machine learning accounts for the majority of the market share due to its ability to process vast amounts of data and provide predictive insights, which are crucial for modern farming needs.

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 focuses on maximizing yield and resource efficiency through AI-driven analytics and monitoring.

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 market owing to its advanced technological infrastructure, rising agricultural sector, and increasing investments in agri-tech innovations.

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 require any specific information that is not covered currently within the scope of the report, we will provide the same as a part of the customization.

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