The Artificial Intelligence in Agriculture market, valued at USD 1.8 billion in 2023, is projected to reach USD 12.8 billion by 2032, growing at a CAGR of 24.34%. In the U.S., the market was valued at USD 0.5 billion in 2023, expected to grow to USD 3.4 billion by 2032 at a CAGR of 24.03%. Key growth drivers include early tech adoption, government support, and the need for sustainable agri-tech solutions. The software segment dominated the market in 2023, while hardware is predicted to grow the fastest, fueled by increasing investments in robotic technologies. Machine Learning & Deep Learning comprised 47% of revenue but computer vision is rapidly growing. Precision farming leads application areas, with agriculture robots expected to grow the fastest. North America held the largest market share, while the Asia-Pacific region is anticipated to see the fastest growth due to rising food security concerns and digital advancements.
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