Global Artificial Intelligence in Agriculture Market to Reach USD 15.68 Billion by 2033 as Robotics, Predictive Analytics, and Smart Farming Accelerate Digital Agriculture

Phoenix Research Projects forecasts that the global Artificial Intelligence in Agriculture market will grow at an 18.9 % CAGR, with North America leading adoption and the Asia‑Pacific region emerging as the fastest‑growing area.

– November 25, 2025 – Phoenix Research has released its latest industry outlook titled “Global Artificial Intelligence in Agriculture Market Size, Share & Forecast 2025–2033.” The report highlights a major surge in AI adoption across the global agriculture sector as farms increasingly shift toward automation, precision farming, computer vision, and predictive crop analytics. According to the study, the Global Artificial Intelligence in Agriculture Market, valued at USD 3.92 billion in 2025, is projected to reach USD 15.68 billion by 2033, expanding at a robust 18.9% CAGR.

“AI is becoming the backbone of next-generation agriculture,” said Rachana Patni, Principal Analyst at Phoenix Research. “From autonomous tractors and AI-enabled farm-management systems to predictive weather modeling and drone-based crop intelligence, digital agriculture is transforming how food is produced, monitored, and optimized globally.”

Key Drivers Global Artificial Intelligence in Agriculture Market

1. Rapid Shift Toward Predictive & Data-Centric Farming

Farmers are increasingly adopting AI models capable of forecasting crop performance, soil behavior, yield outcomes, seasonal variability, and resource utilization.

2. Scaling Agricultural Output Through Autonomous Machinery

The global need for higher and faster agricultural production is accelerating investments in AI-assisted machinery—including autonomous tractors, robotic weeders, self-driving sprayers, and automated harvesting systems.

3. Growing Adoption of AI-Based Sustainability & Resource Optimization

Sustainability commitments from governments and corporations are pushing farms to embrace AI tools that minimize water usage, reduce fertilizer misapplication, and optimize pesticide spraying.

4. Integration of IoT Sensors & AI Analytics in Smart Farms

The growing deployment of IoT sensors in soil, weather stations, irrigation systems, and greenhouse setups is fueling AI adoption.

5. Expansion of AI-Enabled Supply Chain & Post-Harvest Intelligence

AI is transforming post-harvest operations such as sorting, grading, packing, logistics planning, and price forecasting. .

Regional Landscape of Global Artificial Intelligence in Agriculture Market

North America – Largest Market

Leads in autonomous tractors, precision farming, and AI-driven FMS adoption, supported by major OEM-tech partnerships.

Europe – Compliance & Sustainability Driven

AI helps farmers align with the EU Green Deal, carbon-reduction rules, nitrogen limits, and traceability norms.

Asia-Pacific – Fastest-Growing Region

Rapid expansion supported by government digital-farming programs, drone legalization, and rising AgTech investments in India, China, and Japan.

Latin America & Middle East & Africa (MEA)

Growing adoption in sugarcane, coffee, soybean, greenhouse, and desert-farming operations for disease detection, irrigation optimization, and yield improvement.

Competitive Ecosystem of Global Artificial Intelligence in Agriculture Market

Leading companies include John Deere, CNH Industrial, Trimble, IBM Watson Agriculture, Microsoft Azure FarmBeats, AGCO, Bayer Crop Science, BASF Digital Farming (xarvio), DJI, Naïo Technologies, Prospera, Taranis, CropIn, Fasal, and Blue River Technology.
John Deere currently holds the largest global market share.

These companies are rapidly expanding AI-enabled robotics, predictive crop analytics, automated spraying systems, and integrated farm management platforms.

Final Takeaway of Global Artificial Intelligence in Agriculture Market

The Global AI in Agriculture Market is entering a period of accelerated transformation powered by robotics, deep learning, drone intelligence, and automated decision-support systems. As climate risks, labor shortages, and food-demand pressures intensify, AI will become indispensable for productivity, sustainability, and operational efficiency. Over the next decade, companies that integrate hardware, software, and real-time data intelligence—while offering localized agronomy support—will lead the global shift toward fully autonomous, AI-driven agriculture.

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Global Artificial Intelligence in Agriculture Market Size and Share Analysis 2025-2033