The U.S. AI in agriculture market is expected to grow at a CAGR of 20.55% between 2024 and 2031, rising from USD 399.91 million in 2023 to USD 1783.61 million in 2031. Growth is driven by rapid technological advancements, increasing adoption of precision farming, and a push for sustainable practices. AI technologies such as machine learning, computer vision, and robotics are improving crop management, boosting farm productivity, and reducing operational costs.
Click – https://www.marketsandata.com/industry-reports/united-states-ai-in-agriculture-market
AI is increasingly embedded into farming tools like driverless tractors and smart irrigation systems, helping farmers make data-driven decisions on weather, soil conditions, pests, and crop health. This shift supports eco-friendly farming by optimizing water, fertilizer, and pesticide use.
Government support, rising investments, and collaborations between tech companies and agribusinesses are accelerating innovation. However, challenges like high startup costs, data privacy concerns, and the need for farmer training could hinder growth.
Notable developments include the launch of Ag Assistant by Taranis Visual Ltd in July 2024, an AI model that uses multimodal data inputs for agronomy insights. Similarly, researchers at UCF are developing AI technologies to support better decision-making in the sector.
Data-driven farming enables better planning, higher yields, resource savings, and environmental sustainability. AI’s predictive capabilities help farmers decide optimal planting times, resource use, and market trends.
Technological advancements in AI, including machine learning, robotics, and computer vision, are reshaping agriculture. Examples include robotized farming machinery, AI drones for crop monitoring, and precision spraying systems like Deere & Company’s See & Spray Premium, introduced in February 2024.
Hardware components like sensors, drones, and smart irrigation systems dominate the market, helping farmers automate tasks, lower labor costs, and boost yields.
Looking ahead (2024-2031), the market will see:
- Wider adoption of AI-enabled drones, robot harvesters, and autonomous vehicles.
- Integration of AI with IoT, blockchain, and cloud computing for end-to-end farm management solutions.
The report, “United States AI in Agriculture Market Assessment, Opportunities and Forecast, 2017–2031F”, offers a detailed analysis of market trends, opportunities, challenges, and competitive dynamics.
Latest reports-
https://www.marketsandata.com/industry-reports/united-states-golf-shoes-market
https://www.marketsandata.com/industry-reports/aircraft-component-market
Contact
Mr. Vivek Gupta
5741 Cleveland street,
Suite 120, VA beach, VA, USA 23462
Tel: +1 (757) 343–3258
Email: info@marketsandata.com
Website: https://www.marketsandata.com
Comments
0 comment