In 2022, the AI in agricultural market was estimated to be worth USD 1.5 billion globally, and throughout the projection period, a compound annual growth rate of 7.5% is anticipated. The market is expanding dramatically due to rising demand for precision agriculture and measures to increase farmers' productivity and efficiency. AI is utilized in agriculture in a variety of contexts, including livestock, irrigation systems, field farming, and crop health. The market is expanding dramatically due to the use of computer vision, machine learning, and predictive analysis.

The application of AI in agriculture has been growing rapidly, and forecasts indicate that this rise will continue in the years to come. The necessity for sustainable farming methods, the growing population's need for food, and the growing uptake of precision farming technologies are the main drivers of growth.

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Growth Drivers
AI-powered drones and robots are being utilized more frequently for planting, surveying, and harvesting in order to cut down on manual labor requirements and increase productivity. AI facilitates supply chain optimization through waste reduction, logistics management, and demand prediction. In order to optimize resource use and increase agricultural yield, artificial intelligence (AI) is used to evaluate data from sensors and satellite imaging to make accurate decisions about planting, harvesting, and fertilizing. Artificial intelligence (AI) systems monitor crop health, identify diseases, and forecast yield results by analyzing sensor data, drone footage, and satellite photos.
agriculture's growing need for assistance in optimizing inputs like as water, fertilizers, and pesticides for farmers based on real-time data in order to cut down on waste and enhance crop quality. Tasks like planting, harvesting, and weed management are efficiently carried out by autonomous robots and drones assisted by artificial intelligence. In order to provide advice on planting schedules, irrigation requirements, and other crucial decisions, AI models forecast weather patterns and evaluate soil conditions.
Segmentation
Component
· Hardware
· Software
· Services
Application
· Precision Farming
· Drone Analytics
· Agriculture Robots
· Livestock Monitoring
· Labor Management
Deployment
· Cloud
· On-Premise
· Hybrid
Regional Outlook
· Asia Pacific
· North America
· Latin America
· Europe
· Middle East and Africa

Key Players
· IBM
· Microsoft
· Prospera
· John-Deere
· Microsoft
· Taranis
· The Climate Corporation
· Ageagle Aerial Systems Inc.
· Descartes Labs, Inc.
· Other Players

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