Global AI in Agriculture Market Size to Reach USD 13.0 Billion by 2033, Growing at a CAGR of 19.48% from 2025 to 2033, Reports IMARC Group

November 11, 2024 | Agriculture

Global AI in Agriculture Market Statistics, Outlook and Regional Analysis 2025-2033

The global AI in agriculture market size was valued at USD 2.2 Billion in 2024, and it is expected to reach USD 13.0 Billion by 2033, exhibiting a growth rate (CAGR) of 19.48% from 2025 to 2033.

AI in Agriculture Market

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The market growth is driven by the growing integration of AI in agriculture, reshaping farming practices and driving productivity across the sector. At the same time, there is a significant trend toward leveraging technology for sustainable farming. For instance, in August 2024, the Indian government launched the AI-based National Pest Surveillance System (NPSS), aimed at connecting approximately 140 million farmers with agricultural scientists. This platform facilitates real-time pest identification and management, which reduces reliance on harmful pesticides and promotes eco-friendly practices. In contrast, the NPSS exemplifies the shift towards science-based pest management in agriculture by providing accurate diagnosis and treatment solutions, thereby enhancing the ability of farmers to respond swiftly to pest threats. Besides this, pest management innovations, the AI-driven agricultural landscape understanding tool was introduced by Google in July 2024. This advanced tool uses high-resolution satellite imagery and machine learning to deliver granular insights on drought preparedness, irrigation, and market access. Furthermore, this tool aims to bolster crop yields and support data-driven agricultural practices by empowering farmers with detailed information tailored to their specific fields. Thus, such technological advancements signify a pivotal shift in how farmers approach cultivation, thereby allowing for more precise resource management and improved decision-making processes.

Moreover, emphasizing this trend in September 2024, Garuda Aerospace partnered with Agrowing to enhance AI-driven precision agriculture in India. This collaboration utilizes advanced multispectral sensors and Kisan drones to enable superior data collection for soil and plant monitoring. This partnership addresses the pressing challenges faced by farmers in the Asia-Pacific region by focusing on boosting agricultural productivity, particularly in optimizing resource use and improving crop health. Also, the integration of AI and technology into agriculture enhances operational efficiencies but also fosters a more sustainable and resilient agricultural landscape.

Global AI in Agriculture Market Statistics, By Region

The market research report has also provided a comprehensive analysis of all the major regional markets, which include North America (the United States and Canada); Asia Pacific (China, Japan, India, South Korea, Australia, Indonesia, and others); Europe (Germany, France, the United Kingdom, Italy, Spain, Russia, and others); Latin America (Brazil, Mexico, and others); and the Middle East and Africa. According to the report, North America dominates the market due to a combination of technological advancements, robust investment in agricultural innovation, and a strong focus on sustainability.

North America AI in Agriculture Market Trends:

The growing access to cutting-edge research and development facilities facilitates the rapid deployment of AI solutions that enhance productivity and efficiency in North America. In October 2024, Niqo Robotics launched the RoboThinner in North America, an AI-driven tractor-pulled machine for precision lettuce thinning. Utilizing advanced AI camera technology, it achieves 97% accuracy, enhancing crop uniformity and automating labor-intensive processes, thus promoting efficiency in sustainable agriculture practices. This kind of innovation underscores the region's commitment to leveraging AI technologies to optimize farming operations, reduce labor costs, and ultimately drive higher yields in a competitive agricultural landscape.

Asia Pacific AI in Agriculture Market Trends:

The rapid digitization and increasing population drive AI adoption in farming across the Asia Pacific. In contrast, AI applications, such as smart irrigation systems and disease prediction tools, help farmers manage resources efficiently. In India, for example, AI-powered apps assist smallholder farmers with crop management advice, significantly improving productivity and reducing risks associated with unpredictable climate conditions.

Europe AI in Agriculture Market Trends:

In Europe, the region is seeing a significant rise in AI-driven precision farming, aimed at optimizing crop yields and resource use. For instance, smart sensors and drones analyze soil health and weather, providing actionable data to farmers. Also, the rising adoption of AI tools in sustainable agriculture practices reflects growing environmental concerns and the need for reducing chemical inputs, aligning with EU sustainability goals.

Latin America AI in Agriculture Market Trends:

The market in Latin America focuses on AI-powered crop monitoring and automation to overcome challenges in large-scale farming. At the same time, technologies like AI-enabled satellite imagery detect crop health issues early. In Brazil, agricultural startups are using machine learning algorithms to optimize planting and harvesting schedules, resulting in higher yields and reduced operational costs, strengthening the agricultural export sector.

Middle East and Africa AI in Agriculture Market Trends:

In the Middle East and Africa, AI in agriculture supports water-efficient practices and predictive analytics in this region, where water scarcity and harsh climates are prominent challenges. Besides this, solutions, like moisture sensors integrated with AI, are employed in controlled environment agriculture. For example, vertical farms using AI in the UAE maximize water use efficiency and crop output, addressing food security while conserving scarce water resources.

Top Companies Leading in the AI in Agriculture Industry

Some of the leading AI in agriculture market companies include 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, and Wipro Limited., among many others. In April 2022, Deere & Company formed a joint venture with GUSS Automation, LLC, in Kingsburg, California, which is a pioneer in semi-autonomous orchard and vineyard sprayers. This joint venture allows Deere & Company to expand its portfolio of autonomous and semi-autonomous machinery, addressing the specific needs of orchard and vineyard operators.

Global AI in Agriculture Market Segmentation Coverage

On the basis of the offering, the market has been bifurcated into software, hardware, AI-as-a-service, and services, wherein software represents the most preferred segment. Software solutions offer features such as crop monitoring, yield prediction, pest detection, and irrigation management, enabling precise and data-driven farming practices.
Based on the technology, the market is categorized into machine learning, computer vision, and predictive analytics, amongst which machine learning dominates the market. Machine learning algorithms are widely used for data analysis, pattern recognition, and decision-making in agriculture. They enable farmers to harness the power of data from various sources, including sensors, satellites, and drones, to make informed decisions about planting, irrigation, pest control, and crop health.
On the basis of the application, the market has been divided into precision farming, agriculture robots, livestock monitoring, drone analytics, labor management, and others. Among these, precision farming exhibits a clear dominance in the market. This segment involves the use of AI-driven technologies for precise monitoring of soil conditions, weather, and crop health. It enables farmers to make data-driven decisions about irrigation, fertilization, and pest control, ultimately leading to increased crop yield and resource efficiency.

Report Features	Details
Market Size in 2024	USD 2.2 Billion
Market Forecast in 2033	USD 13.0 Billion
Market Growth Rate 2025-2033	19.48%
Units	Billion USD
Scope of the Report	Exploration of Historical Trends and Market Outlook, Industry Catalysts and Challenges, Segment-Wise Historical and Future Market Assessment: Offering Technology Application Region
Offerings Covered	Software, Hardware, AI-as-a-Service, Services
Technologies Covered	Machine Learning, Computer Vision, Predictive Analytics
Applications Covered	Precision Farming, Agriculture Robots, Livestock Monitoring, Drone Analytics, Labor Management, Others
Regions Covered	Asia Pacific, Europe, North America, Latin America, Middle East and Africa
Countries Covered	United States, Canada, Germany, France, United Kingdom, Italy, Spain, Russia, China, Japan, India, South Korea, Australia, Indonesia, Brazil, Mexico
Companies Covered	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, etc.
Customization Scope	10% Free Customization
Post-Sale Analyst Support	10-12 Weeks
Delivery Format	PDF and Excel through Email (We can also provide the editable version of the report in PPT/Word format on special request)

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Global AI in Agriculture Market Size to Reach USD 13.0 Billion by 2033, Growing at a CAGR of 19.48% from 2025 to 2033, Reports IMARC Group

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