AI in Agriculture Market Size, Share & Trends Analysis Report By Type, By Application, By End-Use, By Region And Segment Forecasts 2026 – 2035

AI in agriculture refers to technologies using machine learning, computer vision, and analytics to optimize farming practices and enhance productivity.

Key factors include population growth, labor shortages, precision farming adoption, and sustainability initiatives.

The market is projected to grow from approximately USD 3.17 billion in 2026 to USD 20.12 billion by 2035.

The CAGR is expected to be 22.85% during the forecast period.

North America will contribute the most, driven by technological advancements and investments.

Major players include Deere & Company, IBM Corporation, Microsoft Corporation, The Climate Corporation, and Farmers Edge Inc.

The report provides insights on size, trends, segments, regions, players, and forecasts.

Stages include data collection, algorithm development, hardware integration, deployment, and maintenance.

Trends focus on automation and sustainability, with preferences for cost-effective, eco-friendly solutions.

Government subsidies for digital farming and regulations on sustainable practices drive adoption.