Artificial Intelligence in Agriculture Market Outlook:
Artificial Intelligence in Agriculture Market size is valued at USD 3 billion in 2025 and is projected to reach a valuation of USD 30.2 billion by the end of 2035, rising at a CAGR of 26% during the forecast period, i.e., 2026-2035. In 2026, the industry size of artificial intelligence in agriculture is assessed at USD 3.7 billion.
The global artificial intelligence in agriculture industry is expanding driven by the embracement of advanced technologies, such as machine learning, computer vision, and predictive analytics, into traditional farming. Government initiatives worldwide promote the embracement of AI with funding programs, technical assistance, and policy driving digital change in the agriculture sector. Japan's National Agriculture and Food Research Organization (NARO) in October 2024 developed Japan's first agriculture-specific generative AI with expertise on agricultural knowledge, starting experimental research at Mie Prefecture, indicating 40% more accuracy than general-purpose AI for agricultural-related questions. This initiative is for sustainable farm development and addresses the issue of the ageing farm population through technological knowledge transfer.
Market-driven technology innovators, such as Deere & Company, Microsoft Corporation, Bayer AG, and IBM Corporation, drive market innovation through the formation of strategic alliances, investments in research, and the creation of integrated platforms. These firms collaborate with farming communities and agricultural research institutes to develop tailored AI solutions appropriate for diverse crop management requirements. In June 2023, Deere & Company revolutionized precision farming by integrating space technology, artificial intelligence (AI), and advanced data analysis to provide farmers with actionable information. Through the use of satellite imagery, the firm can monitor crops more effectively, assess field conditions, and optimize the distribution of resources to deliver higher yields.
