Artificial Intelligence in Agriculture Market Share

  • Report ID: 3642
  • Published Date: Sep 12, 2025
  • Report Format: PDF, PPT

Artificial Intelligence in Agriculture Market - Regional Analysis

North America Market Insights

North America is predicted to maintain a 36.4% market share during the forecast period, solidifying the region as a leader in artificial intelligence adoption in agriculture. The region is blessed with advanced technology infrastructure, high levels of research and development investments, and highly developed government support programs for fostering the digitalization of agriculture. Major technology companies collaborate with agriculture institutions to design cutting-edge AI solutions that address numerous problems in agriculture, like precision crop management, autonomous farm equipment, and predictive analytics.

The U.S. artificial intelligence in agriculture market drives global growth through comprehensive government support from the USDA, NSF, and the federal government, which provides substantial funding for research, development, and technology implementation programs. U.S. companies, such as Microsoft Corporation, IBM Corporation, and Oracle Corporation, make significant investments in agricultural AI platforms serving both domestic and international markets. In 2023, the USDA's National Institute of Food and Agriculture (NIFA) funded various AI initiatives, including the Agriculture and Food Research Initiative (AFRI), in agricultural system research focused on AI, with a focus on autonomous robot development and smart sensing.   

Canada artificial intelligence in agriculture market shows steady growth with government efforts promoting technology, research collaborations, and innovation network formations across different regions of agriculture. Provincial and national plans provide finance for AI adoption, prioritizing sustainable agricultural practices and yield increase. In June 2025, the Government of Canada launched the AI for Productivity Challenge program through the National Research Council (NRC) to accelerate the adoption of AI in Canada's clean tech, agriculture, and manufacturing sectors, aiming to enhance productivity, efficiency, and profitability. The program is focused on bringing advanced technology readiness level (TRL) projects to market with artificial intelligence (AI)-based prototypes validated in live operating conditions.

APAC Market Insights

Asia Pacific artificial intelligence in agriculture market is likely to register a CAGR of 21% from 2026 to 2035, driven by rapid digitalization initiatives, government support programs, and increasing adoption of smart farming technologies in diverse regional economies. The region has a massive government spend on the modernization of farming, building technology infrastructure, and upskilling farmers for AI adoption. Mass agricultural operations and emerging agricultural economies generate tremendous demand for AI-driven solutions to crop management, resource efficiency, and supply chain optimization problems.

China artificial intelligence in agriculture market is rising through comprehensive government planning to promote the cultivation of intelligent agriculture, as well as significant investments in agricultural technology infrastructure and research programs. In March 2025, China's Guiyang Municipal Government announced that State-owned Guiyang Agricultural Investment Group (GAIG) upgraded its Smart Agriculture Investment platform by integrating the DeepSeek AI model to provide farmers with accurate, effective, and convenient farming production guidance. The platform offers AI-powered applications in manufacturing and operational data governance, intelligent legal search, and multimodal visual interaction, driving deeper technological innovation and integration with industrial growth. 

India artificial intelligence in agriculture market shows rapid growth with government-led digital transformation efforts and strategic investments in agri-tech growth and farmer assistance programs. The government of India promotes AI adoption through massive funding programs, infrastructural growth, and collaborative research programs for end-to-end agricultural issues like precision agriculture, crop monitoring, and supply chain management. The Government of India launched the AgriTech Innovation Hub in Meerut in July 2025 with the support of the Union Minister and IIT Ropar's Artificial Intelligence Centre of Excellence (AI COE) for Agriculture: Annam AI. It is equipped with IoT-enabled sensors, intelligent irrigation systems, automation technology, and a real-time analytics platform, enabling precision agriculture and sustainable farming practices.

Europe Market Insights

Europe is projected to experience sustained development from 2026 to 2035, driven by integrated regulatory frameworks that support sustainable agriculture, extensive research and development, and strategic processes in support of digital transformation across all areas of agriculture. The European Union's Common Agricultural Policy provides funding for high levels of technology adoption while promoting environmental sustainability and precision farming methods. Integrated supply chains, state-of-the-art manufacturing facilities, and progressive regulatory frameworks support technology integration and data exchange programs that benefit the market.

The UK artificial intelligence in agriculture market is experiencing substantial growth, largely driven by extensive government programs that support innovation, sustainability, and development in all farming practices. Strategic policy interventions include investments in tech development, research collaborations, and farmer training schemes that promote bulk AI adoption. In April 2024, the UK Government launched the Scaling Agriculture Investment in Digital, AI, and Innovation (SAIDAI) program to scale and support digital agriculture innovations with transformational potential, generating evidence on what works, where, and for whom. The program encourages more integrated, sustainable, and resilient agri-food systems in developing countries to deliver healthy and safe food through improved yields, reduced post-harvest loss, and better supply chains.

Germany agricultural industry artificial intelligence is backed by sophisticated production capabilities, large research facilities, and strong government support for agricultural technology innovation and development initiatives. German research institutes collaborate closely with technology companies to develop highly advanced AI solutions for precision farming, automation, and sustainable agriculture requirements. In August 2025, the German Federal Ministry supported a collaborative research project, From the Ground Up: Farmers' Perspectives on AI in Agriculture, through joint collaboration with Hebrew University of JerU.S.lem (HUJI) and Technical University of Munich (TUM). The project examines how farmers perceive and utilize AI technology, and how their views influence adoption and governance expectations, with significant implications for global food security.

Artificial Intelligence in Agriculture Market Share

Browse key industry insights with market data tables & charts from the report:

Frequently Asked Questions (FAQ)

In 2025, the industry size of artificial intelligence in agriculture is estimated at USD 3 billion.

The global artificial intelligence in agriculture market size was USD 3 billion in 2025 and is expected to reach USD 30.2 billion by the end of 2035, expanding at a CAGR of 26% during the forecast period, i.e., 2026-2035. In 2026, the industry size of artificial intelligence in agriculture will be valued at USD 3.7 billion.

Key players in the market are Deere & Company, Trimble Inc., IBM Corporation, Microsoft Corporation, AGCO Corporation, Bayer AG, Oracle Corporation, Cisco Systems, Inc., Siemens AG, Samsung Electronics Co., Ltd.

The software segment is anticipated to lead artificial intelligence in agriculture market during the forecast period.

North America is anticipated to dominate the artificial intelligence in agriculture market during the forecast period.
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