SNS Insider pvt ltd
Sun, Jun 29, 2025, 7:00 AM 6 min read
The market is growing due to increased adoption of AI tools for crop monitoring, predictive analytics, and climate resilience.
Pune, June 29, 2025 (GLOBE NEWSWIRE) -- Artificial Intelligence in Agriculture Market Size Analysis:
“The SNS Insider report indicates Artificial Intelligence in Agriculture Market size was valued at USD 1.8 billion in 2023 and is estimated to reach USD 12.8 billion by 2032, growing at a compound annual growth rate (CAGR) of 24.34% between 2024 and 2032.”
The U.S. Artificial Intelligence in Agriculture Market was valued at USD 0.5 billion in 2023 and is projected to reach USD 3.4 billion by 2032, growing at a CAGR of 24.03% during 2024–2032. Due to early adoption of tech, substantial investment in agri-research, and the mass adoption of AI-powered precision farming tools. Support from the federal government over the next decade, investment in smart farming, deployment of autonomous machinery, and, most importantly, sustainability-focused agri-tech investment will kick-start future growth.
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Major Players Analysis Listed in this Report are:
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IBM Corporation – Watson Decision Platform for Agriculture
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Microsoft Corporation – Azure FarmBeats
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Deere & Company – See & Spray
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Trimble Inc. – Trimble Ag Software
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AGCO Corporation – Fuse Smart Farming
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BASF SE – xarvio Digital Farming Solutions
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Corteva Agriscience – Granular Insights
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Bayer AG (Climate LLC) – Climate FieldView
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Raven Industries, Inc. – VSN (Visual Guidance System)
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Prospera Technologies – Prospera Crop Monitoring
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Taranis – Taranis Precision Scouting
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Gamaya – Gamaya AI Crop Intelligence
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PrecisionHawk – PrecisionAnalytics Agriculture
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AgEagle Aerial Systems Inc. – MicaSense RedEdge Sensor
Artificial Intelligence in Agriculture Market Report Scope:
| Report Attributes | Details |
| Market Size in 2023 | US$ 1.8 Billion |
| Market Size by 2032 | US$ 12.8 Billion |
| CAGR | CAGR of 24.34 % From 2024 to 2032 |
| Base Year | 2023 |
| Forecast Period | 2024-2032 |
| Historical Data | 2020-2022 |
| Key Segments | • By Component (Hardware, Software, Services) • By Technology (Machine Learning & Deep Learning, Predictive Analytics, Computer Vision) • By Application (Precision Farming, Drone Analytics, Agriculture Robots, Livestock Monitoring, Labor Management, Others) |
| Key Growth Drivers | AI is boosting productivity and resource efficiency in farming to meet growing global food demand. |
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By Component: Software Segment Dominated, Hardware Fastest Growing
The software segment dominated the market in 2023 and accounted for 55% of revenue share, due to the large requirements for AI-embedded devices (such as smart sensors, edge devices, and embedded chips in manufacturing equipment). Such components are similar to the hardware aspect of a smart factory that allows the extraction of data for processing within the factory in real-time. Even hardware is being driven by the increase in investments in robotics, automated material handling, and industrial cameras. In fact, manufacturing has always required hardware, particularly as the sector moves towards a greater reliance on cyber-physical systems, where the performance of AI systems is determined to such a large extent by the hardware that supports them.
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