The global Artificial Intelligence (AI) in Agriculture market is experiencing significant growth, driven by the increasing demand for precision farming, automation, and data-driven decision-making. AI-powered solutions, including machine learning, computer vision, and predictive analytics, are transforming agricultural practices by optimizing crop management, improving yield predictions, and enhancing resource efficiency. The adoption of AI in agriculture is further supported by advancements in IoT, drone technology, and robotics, enabling real-time monitoring and automation of farming operations. Government initiatives promoting smart farming and sustainability, along with the rising need for food security, are also key drivers of market expansion.
Global Artificial Intelligence in Agriculture Market is valued at USD 2.08 billion in 2025 and is expected to reach USD 10.49 billion by 2032, with a growing CAGR of 22.39% during the forecast period 2023 to 2030.
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Below are the Top Artificial Intelligence in Agriculture Companies with a Significant Market Share:
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Rank
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Company
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Overview
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Product Portfolio
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Sales Geographical Coverage
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Developments
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1.
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Open Text Corporation
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OpenText’s intelligent data management solutions help optimize farm operations, enhance predictive analytics, and improve supply chain efficiencies. The company’s AI-powered software supports precision farming, real-time monitoring, and decision-making to drive sustainability and productivity in agriculture.
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North America, Latin America, Middle East and Africa, Asia-Pacific, and Europe
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In February 2024, OpenText Corporation received notable ESG recognitions, including its second consecutive qualification as a Dow Jones Sustainability North America Index (DJSI) constituent and an "AAA" rating from MSCI. These accolades highlighted the company's dedication to sustainability.
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2.
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VALMONT INDUSTRIES, INC.
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Valmont Industries leverages AI and IoT technologies in its precision irrigation systems, such as Valley Irrigation, to enhance water efficiency and crop yield optimization. Through AI-driven remote monitoring and automation, Valmont is helping farmers maximize productivity while conserving natural resources. Its smart irrigation solutions play a significant role in the advancement of AI in agriculture.
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North America, South America, Middle East and Africa, Asia-Pacific, and Europe
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In May 2021, VALMONT INDUSTRIES, INC. announced the acquisition of Prospera Technologies, a leading Israeli AI company in agricultural ML and CV, for approximately USD 300 million. This strategic move aims to enhance farm efficiency, productivity, and sustainability.
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3.
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AGCO Corporation
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AGCO Corporation integrates AI and machine learning into its smart farming technologies, such as the Fuse® Connected Services and precision planting solutions. AGCO's AI-driven analytics help optimize seeding, fertilization, and harvesting, enabling farmers to enhance productivity and sustainability.
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North America, Middle East and Africa, Asia-Pacific, and Europe
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In July 2024, AGCO Corporation transformed its Ohio dealership network by expanding Lowe & Young, Mayer Farm Equipment, and North Star Hardware and adding AgRevolution. This boosted AGCO's market reach and enhanced customer service in Ohio.
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4.
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IBM Corporation
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IBM provides AI-driven solutions tailored for the agricultural sector. Utilizing satellite imagery, weather data, and sensors, IBM's AI technologies assist in crop monitoring, disease detection, and yield prediction. These tools enable farmers to make informed decisions, optimize farming practices, and enhance overall productivity.
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North America, South America, Middle East and Africa, Asia-Pacific, and Europe
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In August 2023, IBM and The Nature Conservancy Centre launched CRM Connect to address crop residue management. The platform promotes regenerative farming in India by using demographic insights, agricultural tracking, and resource mapping.
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5.
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OpenAI
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OpenAI’s AI capabilities contribute to the advancement of agricultural technology through predictive analytics, data-driven decision-making, and automation. OpenAI’s generative AI models can support agribusinesses in research, climate analysis, and farm management solutions, enhancing AI adoption in the agricultural industry.
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North America, and Europe
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In December 2022, OpenAI’s ChatGPT was introduced as a transformative tool in agriculture, enhancing how farmers acquire and understand complex information. The language model facilitated faster learning across diverse topics, from machinery and finances to biology and marketing. This advanced technology proved invaluable for farmers needing quick, efficient knowledge.
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Conclusion
The global AI in agriculture market is set for strong growth as technological advancements make precision farming more accessible and efficient. The integration of AI with IoT, robotics, and big data analytics is expected to drive the adoption of smart farming solutions. While cost and adoption barriers remain, ongoing research, government support, and strategic industry partnerships are likely to mitigate these challenges. As the agricultural sector increasingly embraces digital transformation, AI-powered solutions will play a crucial role in improving productivity, sustainability, and overall farm management, ensuring long-term market expansion.
