AI in Precision Agriculture Market Size & Analysis for North America, Europe, APAC, South America, Middle East and Africa - US, UK, France, Germany, China – 2025-2029

AI in Precision Agriculture Market Size 2025-2029

The AI in precision agriculture market is projected to grow by USD 6-9 billion at a CAGR of 20%-23% between 2025 and 2029. Exact values for this market can be accessed upon purchasing the report.

The global AI in precision agriculture market covers various applications, including crop monitoring, autonomous farming equipment, predictive analytics, soil health monitoring, and supply chain optimization. The rising demand for AI in precision farming activities such as water and fertilizer management, autonomous drones, and field mapping will drive the market. The adoption of AI technologies in agriculture is expected to significantly enhance resource optimization, boost yields, and improve sustainability, which will fuel the market’s growth.

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How is this market segmented?

The market research report provides comprehensive data, forecasts, and estimates in USD billion for the period 2025-2029, with historical data from 2019-2024, focusing on the following segments:

• By Technology
  • Machine Learning
  • Deep Learning
  • Predictive Analytics
  • Computer Vision
  • AI-as-a-Service
• By Application
  • Drone Analytics
  • Precision Farming
  • Weather Tracking
  • Field Mapping
  • Livestock Farming
  • Yield & Soil Monitoring
  • Agriculture Robots
  • Crop Scouting
• By Region
  • North America
    • Canada
    • US
  • APAC
    • China
    • India
    • Japan
    • South Korea
  • Europe
    • Germany
    • UK
    • France
  • South America
    • Brazil
  • Middle East and Africa

Technology Insights

Machine learning leads the market in terms of technology and is expected to see the highest growth rate during the forecast period due to its ability to analyze vast amounts of farming data and aid in decision-making processes. Deep learning and computer vision are also gaining traction for advanced analytics in agricultural operations.

Regional Analysis

• North America: Leading the global AI in precision agriculture market, driven by technological advancements, high adoption rates, and government support in automation and AI research.
• Europe: Expected to register the fastest CAGR during the forecast period, with strong government focus on food security, research activities, and the integration of AI technologies in farming operations.
• Asia Pacific: Increasing demand for AI technologies due to rapid technological adoption, population growth, and the need for sustainable farming practices.

Market Dynamics

• Key Drivers: Increasing global food demand, rising prices for traditional farming inputs, and the need for sustainable farming solutions due to climate change and resource shortages.
• Challenges: High initial investment costs, data privacy concerns, and cybersecurity risks may hamper market growth. Additionally, the shortage of skilled labor and complex regulations could restrict industry adoption.
• Opportunities: There is growing potential in minimizing fertilizer and water wastage and improving farmer profitability through AI technologies. The adoption of AI tools in precision farming to boost crop yields and optimize resource usage offers significant opportunities for market expansion.

Key Companies & Market Insights

This market research report includes detailed analyses of the competitive landscape of the market and information on close to 20 key companies, including:

• IBM Corporation
• AgEagle Aerial Systems Inc.
• John Deere
• Microsoft Corporation
• Raven Industries Inc.
• The Climate Corporation
• Granular Inc.
• AGCO Corporation
• Descartes Labs Inc.
• Gamaya SA
• Trimble Inc.
• PrecisionHawk
• CNH Industrial
• Topcon Positioning Systems
• Aker BP

These companies are focusing on product innovations, strategic partnerships, and expanding their geographical presence to capture significant market share. AI in precision agriculture continues to evolve with the support of government policies, increased funding in research activities, and the growing need for resource optimization.

Market Scope

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