AI in Agriculture Market Report 2025 (Global Edition)

Global AI in Agriculture Market Report 2025 Market Size Split by Technology (Machine Learning, Computer Vision, Predictive Analytics), by Offering (Hardware, Software, Al-as-a-Service, Service), by Ap...

AI in Agriculture Market Report Description

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AI in Agriculture Market Insights Video

Competitive Landscape of the AI in Agriculture Market

The competitive landscape of the AI in agriculture market is dynamic, featuring major players like John Deere, Bayer CropScience, and IBM, who lead with advanced technologies in precision farming, crop monitoring, and autonomous machinery. Smaller innovators, such as FarmWise and Taranis, offer specialized AI solutions for pest management and data analytics. The market is characterized by rapid technological advancements and collaborations between tech companies and agricultural firms, driving growth and shaping the future of sustainable farming practices.

In July 2024, Google has introduced its Agricultural Landscape Understanding (ALU) tool to provide farmers with essential insights and boost crop productivity. Initially available in a limited capacity, this tool aims to revolutionize farming practices by integrating data-driven approaches. Utilizing high-resolution satellite imagery and machine learning, the ALU will outline field boundaries and offer guidance on drought management, irrigation, and market accessibility, among other aspects. (Source: https://www.livemint.com/companies/googles-ai-based-agricultural-information-tool-for-india-to-offer-information-on-drought-preparedness-irrigation-11721285446847.html ) In May 2022, AGCO has acquired JCA Industries to enhance its engineering and software development expertise, aiming to speed up the creation of advanced automated and autonomous machinery. (Source: https://investors.agcocorp.com/news-releases/news-release-details/agco-acquires-jca-industries ) In April 2022, Deere & Company and GUSS Automation established a joint venture with an LLC based in Kingsburg, California. The Global Unmanned Spray System (GUSS) is a leading innovator in semi-autonomous spraying technology specifically designed for use in orchards and vineyards. (Source: https://www.deere.com/en/our-company/static/john-deere-forms-joint-venture-with-guss-automation/ )

Top Companies Market Share in AI in Agriculture Industry: (In no particular order of Rank)

• Bayer CropScience
• John Deere
• Corteva Agriscience
• IBM
• Microsoft
• Syngenta
• Monsanto
• Climate Corporation
• Trimble Inc.
• AG Leader Technology
• PrecisionHawk
• Raven Industries
• FarmWise
• Taranis
• Arama
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*List of Second Tier Companies, List of Third Tier/ Start-up Companies (Inquire with sales executive) Request Any Company Profile for Preview Purpose OR Data Validation!

If any Company(ies) of your interest has/have not been disclosed in the above list then please let us know the same so that we will check the data availability in our database and provide you the confirmation or include it in the final deliverables.

Regional Analysis of the AI in Agriculture Market

Which Region Dominates the AI in Agriculture Market in 2024?

According to Cognitive Market Research, North America holds the largest market share in the AI in agriculture sector due to its advanced technological infrastructure, significant investments in agricultural technology, and high adoption rates of AI-driven solutions. The presence of major tech companies, robust research and development capabilities, and a strong emphasis on innovation further drive growth in the region. Additionally, North American farmers benefit from sophisticated precision farming tools and extensive support systems, enhancing efficiency and productivity in agriculture.

Which Region is Expanding at the Fastest CAGR?

The Asia Pacific region is experiencing the fastest growth in the AI in agriculture market due to rapid technological adoption, increasing investments in agricultural innovation, and a growing focus on improving food security. The region's vast agricultural sector, coupled with government initiatives and a rising demand for efficient farming practices, drives the adoption of AI technologies. Additionally, advancements in digital infrastructure and rising awareness of AI's benefits contribute to the region's accelerated growth.

The current report Scope analyzes AI in Agriculture Market on 5 major region Split (In case you wish to acquire a specific region edition (more granular data) or any country Edition data then please write us on info@cognitivemarketresearch.com

• North America (United States, Canada, Mexico)
• Europe (United Kingdom, France, Germany, Italy, Russia, Spain, Sweden, Denmark, Netherlands, Switzerland, Belgium)
• Asia-Pacific (China, Japan, Korea, India, Australia, Philippines, Singapore, Malaysia, Thailand, Indonesia, Rest of APAC)
• South America (Brazil, Argentina, Colombia, Peru, Chile, Rest of South America)
• Middle East and Africa (Saudi Arabia, Turkey, Nigeria, UAE, Egypt, South Africa, GCC Countries, Rest of MEA)

The above graph is for illustrative purposes only.

North America AI in Agriculture Market

According to Cognitive Market Research, the global AI in Agriculture market size was estimated at USD 2142.20 Million, out of which North America held the major market share of more than 40% of the global revenue with a market size of USD 856.88 million in 2024 and will grow at a compound annual growth rate (CAGR) of 21.7% from 2024 to 2031.

• According to Cognitive Market Research, the US had a major share in the AI in Agriculture market with a market size of USD 676.08 million in 2024 and is projected to grow at a CAGR of 21.5% during the forecast period. The U.S. market's advanced technological infrastructure, substantial investments in agri-tech innovations, and high adoption rates of AI solutions is driving the AI in Agriculture market.
• The Canada AI in Agriculture market had a market share of USD 102.83 million in 2024 and is projected to grow at a CAGR of 22.5% during the forecast period. Canada’s substantial investments in agri-tech innovations is driving the AI in Agriculture market.
• The Mexico AI in Agriculture market is projected to witness growth at a CAGR of 22.2% during the forecast period, with a market size of USD 77.98 million in 2024.

Europe AI in Agriculture Market

According to Cognitive Market Research, the global AI in Agriculture market size was estimated at USD 2142.20 Million, out of which Europe held the market share of more than 30% of the global revenue with a market size of USD 642.66 million in 2024 and will grow at a compound annual growth rate (CAGR) of 22.0% from 2024 to 2031.

• The United Kingdom AI in Agriculture market had a market share of USD 107.97 million in 2024 and is projected to grow at a CAGR of 22.8% during the forecast period. In the UK, AI in Agriculture sales witness an upswing due to strong emphasis on sustainable farming practices and innovation.
• The France AI in Agriculture market is projected to witness growth at a CAGR of 21.2% during the forecast period, with a market size of USD 59.12 million in 2024.
• According to Cognitive Market Research, the German AI in Agriculture market size was valued at USD 127.25 million in 2024 and is projected to grow at a CAGR of 22.2% during the forecast period. In Germany, AI in Agriculture surged due to presence of major market players.
• The Italy AI in Agriculture market is projected to witness growth at a CAGR of 21.4% during the forecast period, with a market size of USD 55.27 million in 2024.
• The Russia AI in Agriculture market is projected to witness growth at a CAGR of 21.0% during the forecast period, with a market size of USD 99.61 million in 2024.
• The Spain AI in Agriculture market is projected to witness growth at a CAGR of 21.1% during the forecast period with a market size of USD 52.70 million in 2024
• The Luxembourg AI in Agriculture market is projected to witness growth at a CAGR of 22.1% during the forecast period, with a market size of USD 19.92 million in 2024.
• The Portugal AI in Agriculture market is projected to witness growth at a CAGR of 21.8% during the forecast period, with a market size of USD 13.50 million in 2024.
• The Greece AI in Agriculture market is projected to witness growth at a CAGR of 22.3% during the forecast period, with a market size of USD 7.71 million in 2024.
• The Rest of Europe's AI in Agriculture market is projected to witness growth at a CAGR of 20.7% during the forecast period, with a market size of USD 99.61 million in 2024.

Asia Pacific AI in Agriculture Market

According to Cognitive Market Research, the global AI in Agriculture market size was estimated at USD 2142.20 Million, out of which Asia Pacific held the market share of around 23% of the global revenue with a market size of USD 492.71 million in 2024 and will grow at a compound annual growth rate (CAGR) of 25.5% from 2024 to 2031.

• According to Cognitive Market Research, the China AI in Agriculture market size was valued at USD 221.72 million in 2024 and is projected to grow at a CAGR of 25.0% during the forecast period. AI in Agriculture surged in China due to presence of major market players.
• The Japan AI in Agriculture market is projected to witness growth at a CAGR of 24.0% during the forecast period, with a market size of USD 67.99 million in 2024.
• The India AI in Agriculture market had a market share of USD 59.12 million in 2024 and is projected to grow at a CAGR of 27.3% during the forecast period. India's rapid technological adoption, increasing investments in agricultural innovation, and a focus on improving food security is driving the AI in Agriculture market.
• The South Korean AI in Agriculture market is projected to witness growth at a CAGR of 24.6% during the forecast period, with a market size of USD 49.27 million in 2024.
• The Australian AI in Agriculture market is projected to witness growth at a CAGR of 25.2% during the forecast period, with a market size of USD 25.62 million in 2024.
• The South East Asia AI in Agriculture market is projected to witness growth at a CAGR of 26.5% during the forecast period, with a market size of USD 34.00 million in 2024.
• The Rest of Asia Pacific AI in Agriculture market is projected to witness growth at a CAGR of 25.3% during the forecast period, with a market size of USD 34.98 million in 2024.

South America AI in Agriculture Market

According to Cognitive Market Research, the global AI in Agriculture market size was estimated at USD 2142.20 Million, out of which the Latin America held the market share of around 5% of the global revenue with a market size of USD 107.11 million in 2024 and will grow at a compound annual growth rate (CAGR) of 22.9% from 2024 to 2031.

• According to Cognitive Market Research, the Brazil AI in Agriculture market size was valued at USD 45.84 million in 2024 and is projected to grow at a CAGR of 23.5% during the forecast period. AI in Agricultures flourished in Brazil due to expanding agricultural sector and increasing demand for technology-driven solutions to enhance productivity.
• Argentina's AI in Agriculture market had a market share of USD 17.99 million in 2024 and is projected to grow at a CAGR of 23.8% during the forecast period. Argentina's investments in agri-tech is driving the AI in Agriculture market.
• Colombia AI in Agriculture market is projected to witness growth at a CAGR of 22.7% during the forecast period, with a market size of USD 9.53 million in 2024.
• Peru AI in Agriculture market is projected to witness growth at a CAGR of 23.1% during the forecast period, with a market size of USD 8.78 million in 2024.
• Chile AI in Agriculture market is projected to witness growth at a CAGR of 23.2% during the forecast period, with a market size of USD 7.71 million in 2024.
• The Rest of Latin America's AI in Agriculture market is projected to witness growth at a CAGR of 22.0% during the forecast period, with a market size of USD 17.24 million in 2024.

Middle East and Africa AI in Agriculture Market

According to Cognitive Market Research, the global AI in Agriculture market size was estimated at USD 2142.20 Million, out of which the Middle East and Africa held the major market share of around 2% of the global revenue with a market size of USD 42.84 million in 2024 and will grow at a compound annual growth rate (CAGR) of 23.2% from 2024 to 2031..

• The GCC Countries AI in Agriculture market is projected to witness growth at a CAGR of 24.0% during the forecast period, with a market size of USD 18.34 million in 2024. AI in Agriculture sales flourish due to the presence of major market players.
• The Egypt AI in Agriculture market is projected to witness growth at a CAGR of 23.5% during the forecast period, with a market size of USD 4.50 million in 2024.
• The South Africa AI in Agriculture market is projected to witness growth at a CAGR of 24.2% during the forecast period, with a market size of USD 6.77 million in 2024. AI in Agriculture sales flourished in South Africa due to increasing investments in technology to address food security and optimize resource use.
• The Turkey AI in Agriculture market is projected to witness growth at a CAGR of 22.7% during the forecast period, with a market size of USD 3.68 million in 2024.
• The Nigeria AI in Agriculture market is projected to witness growth at a CAGR of 22.3% during the forecast period, with a market size of USD 0.99 million in 2024.
• The Rest of the MEA AI in Agriculture market is projected to witness growth at a CAGR of 22.2% during the forecast period, with a market size of USD 5.06 million in 2024.

AI in Agriculture Market Analysis

How are Segments Performing in the Global AI in Agriculture Market?

AI in Agriculture Market Technology Segment Analysis

According to Cognitive Market Research, Machine Learning AI in Agricultures are likely to dominate the AI in Agriculture Market over the forecast period. Machine learning technology dominates the AI in agriculture market due to its ability to analyze vast amounts of data for predictive insights and decision-making. It enables precision farming by processing data from sensors, drones, and satellite imagery to optimize crop yields, monitor soil health, and detect pests early. The adaptability and scalability of machine learning algorithms make them essential for developing effective, data-driven agricultural solutions, driving their leading market share.

Computer vision technology is growing at the highest CAGR in the AI in agriculture market due to its advanced capabilities in analyzing and interpreting visual data from cameras and drones. It enables precise crop monitoring, disease detection, and yield estimation by processing high-resolution images and video. The increasing adoption of computer vision for tasks like automated weeding and harvesting enhances efficiency and accuracy, driving rapid growth in its application within the agricultural sector.

The above Chart is for representative purposes and does not depict actual sale statistics. Access/Request the quantitative data to understand the trends and dominating segment of AI in Agriculture Industry. Request a Free Sample PDF!

AI in Agriculture Market Offering Segment Analysis

According to Cognitive Market Research, the Hardware segment holds the largest share of the market. Hardware offerings capture the largest market share in the AI in agriculture market due to their essential role in implementing AI solutions. This includes sensors, drones, autonomous machinery, and high-performance computing systems that collect and process data. The need for robust, reliable hardware to support AI applications such as precision farming, real-time monitoring, and automated operations drives their significant market presence. As technology advances, the demand for sophisticated hardware continues to grow, reinforcing its dominant market share.

In the AI in Agriculture Market, Software offerings are growing at the highest CAGR in the AI in agriculture market due to their crucial role in analyzing and interpreting data collected by hardware. Advanced software solutions enable precision farming, predictive analytics, and real-time decision-making, transforming raw data into actionable insights. As AI technology evolves, software innovations that enhance functionality, user experience, and integration capabilities drive rapid growth. The increasing demand for data-driven insights and automated management solutions further propels the software segment’s expansion.

The above Graph is for representation purposes only. This chart does not depict actual Market share.

AI in Agriculture Application Segment Analysis

AI in Agriculture Market Application Segment Analysis

According to Cognitive Market Research, The Precision Farming segment holds the largest market share. Precision farming applications capture the largest market share in the AI in agriculture market due to their effectiveness in enhancing crop yields and optimizing resource use. By leveraging AI technologies for soil analysis, weather forecasting, and crop monitoring, precision farming enables targeted interventions that reduce waste and increase efficiency. The ability to provide data-driven insights and automate farming processes makes precision farming highly valuable, driving its dominance in the market and broad adoption across the agricultural sector.

In the AI in Agriculture market, Agriculture robots are growing at the highest CAGR in the AI in agriculture market due to their transformative impact on labor efficiency and productivity. These robots, which include autonomous tractors, harvesters, and drones, automate tasks such as planting, weeding, and harvesting. Their ability to operate around the clock, reduce labor costs, and improve precision in farm operations drives rapid adoption. Technological advancements and increasing demand for automation in agriculture further fuel their rapid growth.

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

Author's Detail

Sneha Mali

Research Analyst at Cognitive Market Research

LinkedIn

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I am a research analyst working in various domains including the Consumer Goods domain, and my primary responsibility is to conduct thorough research on various subjects and provide valuable insights to support client requirements. I have knowledge of research methodologies, and data mining which enables me to analyze large data sets, draw meaningful conclusions, and communicate them effectively. I stay up-to-date with the latest research trends, methodologies, and technologies to ensure that my research is accurate, relevant, and impactful.

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