The United States AI in Agriculture Market was valued at USD 351.09 million in 2023 and is expected to reach USD 705.74 million by 2029, with a CAGR of 12.30%. The market is driven by the need for automation, labor shortages, and the adoption of precision farming. The use of AI in agriculture is gaining popularity, with farmers adopting technologies such as machine learning, computer vision, and predictive analytics to streamline farm operations and improve efficiency. The market is also driven by the need for climate-smart agriculture and the demand for automation, which is expected to continue to grow.
The market is segmented by technology, with predictive analytics being the most popular, followed by machine learning and computer vision. The adoption of AI-As-A-Service models is also gaining traction, offering unmatched scalability, flexibility, and affordability. The Midwestern region is at the forefront of the market, with farmers in states like Iowa and Illinois leading the way in adopting AI technologies. Overall, the use of AI in agriculture is expected to improve efficiency, productivity, and sustainability, leading to more crop yield, less waste, and environmental care.