The AI in Precision Farming Market is expected to grow at a CAGR of 16.64%, reaching a market size of US$3.748 billion in 2030 from US$1.736 billion in 2025.
Precision farming is a farming technique that uses technologies including IoT, remote sensing, Geographic Information Systems and artificial intelligence to monitor and manage variability within the agricultural field. It leverages data insights from technologies such as soil health analysis, water usage optimization for irrigation, pest and disease control, and crop management among others. It refers to a method of farming that is about more efficient utilization of agricultural resources that is data-driven and environmentally sustainable.
Market Trends:
- Surging AI Use in Agriculture to Boost Food Production: With global population growth driving higher food demand, the agricultural sector is increasingly turning to artificial intelligence (AI) to enhance crop yields. AI technologies analyze extensive historical data, weather patterns, soil conditions, and irrigation needs to optimize farming practices and ensure greater productivity. For example, Blue River Technology's smart sprayer employs a vision-based system and AI to identify weeds and plants, applying herbicide only where needed. The company claims this reduces herbicide use by over 90% compared to conventional sprayers, demonstrating AI's value in precision farming. By minimizing waste and improving efficiency, the rising adoption of AI is fueling growth in the AI precision farming market.
- Technological Advancements Propel Market Growth: The market is being driven by rapid developments in AI, such as advanced predictive analytics, which enhance its application in precision farming. Beyond AI, innovations in complementary technologies like the Internet of Things (IoT) and remote sensors are amplifying AI's impact by enabling seamless integration, further accelerating its use in precision agriculture.
- North America Set to Lead the Market: Geographically, North America is expected to dominate the AI precision farming market, led by the United States and Canada. The region's large-scale farms and widespread technology adoption among farmers are key growth drivers. Significant investments in AI research and development are also positioning North America as a frontrunner in embracing cutting-edge farming technologies.
- Asia-Pacific Growth on the Horizon: The Asia-Pacific region is projected to experience market expansion during the forecast period, spurred by growing AI adoption in precision farming across countries like China, Japan, South Korea, and India. This growth is driven by rising populations, expanding economies, and increased government investments aimed at modernizing agriculture.
Some of the major players covered in this report Deere & Company , CNH Industrial N.V. , Trimble Inc., AGCO Corporation, IBM Corporation, BASF, among others.
Key Benefits of this Report:
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Report Coverage:
- Historical data from 2022 to 2024 & forecast data from 2025 to 2030
- Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, and Trend Analysis
- Competitive Positioning, Strategies, and Market Share Analysis
- Revenue Growth and Forecast Assessment of segments and regions including countries
- Company Profiling (Strategies, Products, Financial Information, and Key Developments among others)
The AI in Precision Farming Market is analysed into the following segments:
By Technology
- Machine Learning
- Computer Vision
- Predictive Analytics
- AI-powered Robotics
- Others
By Offering
- Hardware
- Software
- Services
By Application
- Crop Health Monitoring
- Soil Health Monitoring
- Disease and Pest Detection
- Irrigation optimization
- Climate and Weather Forecast
- Others
By Geography
- North America
- USA
- Canada
- Mexico
- South America
- Brazil
- Argentina
- Others
- Europe
- United Kingdom
- Germany
- France
- Spain
- Others
- Middle East and Africa
- Saudi Arabia
- UAE
- Others
- Asia Pacific
- China
- Japan
- South Korea
- Australia
- India
- Indonesia
- Thailand
- Others