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The artificial intelligence in agriculture industry in 2025 has become a mainstream part of global farming. Estimates place the market between USD 2.1 billion and USD 7.1 billion, depending on whether scope includes only AI-driven software or also hardware such as sensors, drones, and robotics. The technology is now powering field monitoring, predictive analytics, irrigation optimization, precision planting, and automated harvesting across regions.
Artificial Intelligence in Agriculture Market was Estimated at USD 1026.51 Million, and its anticipated to Reach USD 1503.68 Million in 2031, with a CAGR of 13.57% During the Forecast Years.
What is Artificial Intelligence in Agriculture?
Artificial Intelligence in Agriculture refers to the application of machine learning, computer vision, robotics, and predictive analytics to farm operations. AI is used for:
- Detecting crop diseases and pests in real time through cameras and drones.
- Automating irrigation scheduling to save water.
- Generating yield maps for improved seeding and fertilization.
- Using robots to harvest labor-intensive crops such as strawberries.
Companies in this space build solutions that allow farmers to cut costs, increase productivity, and manage resources more efficiently.
How Big is the Industry in 2025?
The Artificial Intelligence in Agriculture industry has emerged as one of the fastest-growing segments of agri-technology. In 2025, the global market size for AI in agriculture is valued in the range of USD 2.1 billion to USD 7.1 billion, depending on whether estimates focus only on software applications or also include robotics, sensors, drones, and satellite-based imaging. The variation reflects differences in how analysts define the scope of the industry, but the consensus is clear—AI is transforming farming practices worldwide.
North America continues to dominate the sector, holding approximately 36% of the total global share in 2025. This leadership is driven by widespread adoption of precision farming tools, strong digital infrastructure, and rapid integration of platforms such as Climate FieldView, which alone covers more than 220 million acres of farmland. The United States market is particularly strong, with over 68% of large-scale farms using AI-driven systems like yield monitoring, soil mapping, and autosteer technologies.
Europe accounts for roughly 20–25% of the global share, fueled by strict environmental regulations requiring farmers to reduce fertilizer and pesticide usage. Asia-Pacific represents close to 30–35%, reflecting the region’s rapid mechanization and smallholder adoption of low-cost AI irrigation and pest management solutions. The Middle East and Africa, while smaller at 10–15%, are increasingly investing in AI irrigation and greenhouse systems to tackle water scarcity challenges.
AI applications in agriculture span across pest detection, irrigation scheduling, crop monitoring, predictive analytics, and robotics. Specialty crop automation, such as strawberry harvesting robots, has moved into commercial deployment, signaling a shift from experimentation to widespread use. With precision agriculture tools cutting input costs by 10–20% and boosting yields by up to 15%, AI adoption is expected to accelerate further. By 2025, the industry has firmly established itself as a cornerstone of modern farming efficiency and sustainability.
USA: Growing Artificial Intelligence in Agriculture Market
The United States is one of the most advanced markets for AI in agriculture, with adoption accelerating across sectors. As of 2025, over 68% of large-scale row-crop farms have adopted precision technologies such as yield monitors, soil mapping, and autosteer systems. Meanwhile, approximately 45% of these large farms are using variable-rate application tools for fertilizer and seed placement, demonstrating the growing appetite for data-driven input optimization.
Digital penetration continues to expand rapidly—50% of all U.S. farms now purchase agricultural inputs online, marking a stark rise from just 32% in early 2023. This shift reflects both rising internet access in rural areas and the increasing preference for digital tools. AI-ready platforms are playing a central role in enabling AI-powered tools, with Climate FieldView alone covering more than 220 million acres of farmland across the U.S. and other countries. That scale effectively provides the backbone for AI-driven prescriptions, predictive modeling, and yield analytics delivered at scale.
The impact of AI implementation is tangible. Farmers using these technologies regularly cite input savings ranging from 10% to 20%, depending on crop type and input category, and yield improvements approaching up to 15% in key grains. Specialty crops are feeling the influence as well—commercial trials of AI-powered strawberry harvesting robots are now in motion, aiming to reduce labor costs in high-labor commodities.
The adoption of irrigation-management AI is also notable within field and specialty crop operations, particularly in arid regions of the U.S., where smart scheduling and real-time monitoring help optimize water usage—even without precise national numbers, anecdotal reports suggest savings of 20% or more in water use, depending on farm and method.
In sum, the combination of high adoption rates of classic precision tools, rapid digitization of input procurement, and large-scale platforms like FieldView, paired with tangible gains in input efficiency and yields, confirm the U.S. as the fastest-growing and most impactful AI-in-agriculture market globally as of 2025.
Regional Insights
North America
North America accounts for around 36% of the global market share. High adoption of farm management platforms, strong investment pipelines, and widespread use of autonomous equipment make this region the largest contributor.
Europe
Europe holds 20–25% of the share, driven by strict environmental regulations. Farmers use AI to optimize nutrient use, reduce pesticide dependency, and meet carbon and biodiversity compliance targets.
Asia-Pacific
Asia-Pacific represents about 30–35% of the global market. Mechanization and digitization of smallholder farms are fueling demand for AI-guided irrigation, pest monitoring, and crop disease detection.
Middle East & Africa
The region holds 10–15% share. AI is applied mainly in irrigation scheduling and water optimization, vital for water-scarce regions. Greenhouse farming is another emerging AI application area.
| Rank | Country | Companies (Count) | Share of Global Companies (%) |
|---|---|---|---|
| 1 | United States | 260 | 26.0% |
| 2 | India | 110 | 11.0% |
| 3 | Israel | 80 | 8.0% |
| 4 | Canada | 70 | 7.0% |
| 5 | United Kingdom | 65 | 6.5% |
| 6 | Germany | 55 | 5.5% |
| 7 | Netherlands | 45 | 4.5% |
| 8 | China | 45 | 4.5% |
| 9 | France | 40 | 4.0% |
| 10 | Australia | 35 | 3.5% |
| 11 | Spain | 30 | 3.0% |
| 12 | Brazil | 30 | 3.0% |
| 13 | Italy | 25 | 2.5% |
| 14 | Japan | 25 | 2.5% |
| 15 | South Korea | 20 | 2.0% |
| 16 | New Zealand | 15 | 1.5% |
| 17 | South Africa | 12 | 1.2% |
| 18 | United Arab Emirates | 10 | 1.0% |
| 19 | Argentina | 8 | 0.8% |
| 20 | Mexico | 8 | 0.8% |
| — | Other Countries | 12 | 1.2% |
| Total | 1,000 | 100.0% | |
Global Growth Insights unveils the top List Global Artificial Intelligence in Agriculture Companies:
| Company | Headquarters | 2025 Status | CAGR (Industry Context) | Revenue Status |
|---|---|---|---|---|
| Spensa Technologies | Indiana, USA | Acquired by DTN, pest monitoring solutions | ~20% | Not Disclosed |
| Granular (Corteva) | San Francisco, USA | Farm management software under Corteva | ~15% | Not Disclosed |
| Harvest CROO Robotics | Florida, USA | Commercial strawberry harvesting robots | ~25% | Not Disclosed |
| Prospera Technologies (Valmont) | Tel Aviv, Israel | Irrigation & crop analytics under Valmont | ~18% | Not Disclosed |
| Microsoft | Redmond, USA | Azure Data Manager for Agriculture | ~16% | USD 280B+ (Corporate) |
| Resson | Fredericton, Canada | Ceased operations in 2023 | N.A. | N.A. |
| IBM | Armonk, USA | Environmental Intelligence Suite | ~14% | USD 62B+ (Corporate) |
| The Climate Corporation (Bayer) | San Francisco / St. Louis, USA | FieldView digital farming platform | ~17% | Not Disclosed |
| Agribotix (AgEagle) | Boulder, USA | Drone analytics acquired by AgEagle | ~22% | Not Disclosed |
| Mavrx (assets to Taranis) | San Francisco, USA | Ceased operations, assets acquired | N.A. | N.A. |
| Intel | Santa Clara, USA | Edge AI hardware for agriculture | ~12% | USD 54B+ (Corporate) |
Regional Market Opportunities
- North America: Expansion of AI-driven prescriptions for nitrogen use and planting density, plus robotics for specialty crops.
- Europe: AI for compliance with environmental regulations, enabling efficient use of inputs.
- Asia-Pacific: Adoption of AI irrigation and pest detection tools in large and small farms alike.
- Middle East & Africa: AI-enabled irrigation optimization for greenhouse and field farming in water-scarce regions.
Conclusion
By 2025, AI in agriculture has shifted from pilot projects to mainstream adoption. The market is estimated between USD 2.1–7.1 billion, led by North America but with rapid growth in Asia-Pacific. Companies like Climate Corporation, Granular, Prospera, Microsoft, IBM, and Intel are shaping the ecosystem alongside specialized innovators such as Harvest CROO Robotics and Spensa Technologies. AI is no longer optional—it is essential for efficiency, sustainability, and profitability in farming.
FAQ: Artificial Intelligence in Agriculture Companies
Q1. Which region leads the AI in agriculture market?
North America leads with around 36% of global share, followed by Asia-Pacific and Europe.
Q2. Which is the largest platform by digital acres?
Climate FieldView, covering over 220 million acres worldwide.
Q3. Which companies focus on specialty crops?
Harvest CROO Robotics focuses on automated strawberry harvesting, while Prospera specializes in irrigation and crop health.
Q4. Which AI-in-Ag startups were acquired or closed?
Spensa (acquired by DTN), Agribotix (acquired by AgEagle), Prospera (acquired by Valmont), Mavrx (assets acquired by Taranis), Resson (ceased in 2023).
Q5. What are the biggest opportunities?
Nitrogen optimization, AI-driven irrigation, and robotics for specialty crops.