Pune, June 29, 2025 (Globe Newswire) – Artificial intelligence in the agricultural market Size analysis:
“SNS Insider Reports are shown Artificial intelligence in the agricultural market The size was valued at US$1.8 billion in 2023 and is estimated to reach US$12.8 billion by 2032, growing at a combined annual growth rate (CAGR) of 24.34% between 2024 and 2032.”
American artificial intelligence in the agricultural market is valued at US$5 billion in 2023 and is projected to reach US$3.4 billion by 2032, growing at a CAGR of 24.03% from 2024 to 2032. With early adoption of technology, substantial investment in agricultural research, and the mass adoption of precision farming tools powered by AI. Support from the federal government over the next decade, investment in sensible agriculture, deployment of autonomous machinery, and most importantly, investment in agricultural technology with a focus on sustainability will begin future growth.
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The key player analyses listed in this report are as follows:
- IBM Corporation – Watson Agriculture Decision-making Platform
- Microsoft Corporation – Azure Farmbeats
- Deere & Company – Reference & Spray
- Trimble Inc. – Trimble AG Software
- AGCO Corporation – Fusing smart farming
- BASF SE – Xarvio Digital Agricultural Solutions
- Corteva Agriscience – Insights of the Art
- Bayer AG (Climate LLC) – Climate Field View
- Raven Industries, Inc. – VSN (Visual Guidance System)
- Prospera Technologies – Prospera Crop Monitoring
- Taranis – Taranis Precision Scout
- Gamaya – Gamaya AI Crop Intelligence
- PrecisionHawk – PrecisionAlytics Agriculture
- Ageagle Aerial Systems Inc. – Micasense Rededge Sensor
Artificial intelligence in the agricultural market Report scope:
| Report attributes | detail |
| Market size for 2023 | USD 1.8 billion |
| Market size until 2032 | USD 12.8 billion |
| CAGR | 24.34% CAGR from 2024 to 2032 |
| Base year | 2023 |
| Forecast period | 2024-2032 |
| History data | 2020-2022 |
| Key Segments | •Components (hardware, software, services)
• Technology (machine learning and deep learning, predictive analytics, computer vision) • Applications (precision agriculture, drone analysis, agricultural robots, livestock monitoring, labor management, etc.) |
| Major Growth Drivers | AI is increasing agricultural productivity and resource efficiency and responding to the increasing global food demand. |
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By components: Software segment dominated, hardware grew the fastest
The software segment dominated the market in 2023, accounting for 55% of its revenue share due to the large requirements of A-Embedded devices (such as smart sensors, edge devices, chips embedded in manufacturing tools, etc.). Such components are similar to the hardware aspects of smart factories that allow data to be extracted for real-time processing within the factory. Even hardware is driven by increased investment in robotics, automated materials handling, and industrial cameras. In fact, manufacturing has always needed hardware, especially as the sector is moving towards a greater reliance on cyberphilosophical systems. There, the performance of an AI system is highly determined by the hardware that supports the hardware.
The rapid adoption of drones, sensors and automated irrigation tools is expected to drive hardware segments, experiencing the fastest CAGR from 2024-2032 across the forecast timeline. As prices for smart equipment are falling with advances in technology, farmers want the best hardware to implement real-time AI on-site.
Technology: Machine learning and deep learning dominate, computer vision is growing at the fastest
Machine learning and deep learning dominated the market in 2023, accounting for 47% of its revenue share. This is because it forms the cornerstone of pattern recognition, yield prediction, and abnormality detection of soil and crop data. These technologies allow us to build predictive models that refer to optimal planting times and fertilization. This multipurpose ability will ensure continuous success wherever you are growing.
In contrast, the computer vision segment is expected to witness the fastest growth as the application of computer vision for pest detection, weed identification and fruit grading increases. Computer vision is a fundamental component of automation as it relies on the use of AI-powered high-resolution cameras and image processing tools. This allows for rapid visual analysis and interpretation.
In Application: Precision agriculture is dominated, agricultural robots have grown the fastest
In 2023, the precision agriculture segment dominated the market and accounted for a significant revenue share with a comprehensive approach that maximizes output with minimal resource use. These segments of AI tools help in sowing, irrigating and nutritional management to achieve sustainable agriculture. Remote sensing and GPS-based automation systems further refine operations.
Agricultural robots are rapidly employed in automated harvesting, soil analysis and planting activities, and therefore register the fastest CAGR. The demand for continuous, accurate fieldwork and sustained labor shortages has led to investment in robotic systems and is becoming an important technology for large-scale agricultural businesses.
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Regional Insights: North America dominated and the fastest growing in the Asia-Pacific region
While North America dominated AI in the agricultural market in 2023, accounting for 36% of revenue sharing, early adoption of advanced agricultural technology, and robust digital infrastructure in the region, Agritech's investment in the US and Canada is taking away large subsidies based on large subsidies on Farms' farms that have taken away large subsidies under the 2023 Stock Company.
The Asia-Pacific region is expected to register its fastest CAGR from 2024 to 2032 due to the ongoing digital transformation in countries such as India, China and Japan. The increase in AI adoption is driven by growing food security concerns, population growth and agricultural startup activities.
Recent Developments in 2024
- June 2024: IBM has launched a new AI-based weather forecasting tool tailored for small farmers in Africa and South Asia.
- May 2024: John Deere announced a strategic partnership with NVIDIA to develop real-time AI analysis of autonomous tractors.
- April 2024: Bayer Crop Science has announced an AI-driven disease detection platform for wheat and corn crops.
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