AI in Agriculture Market is expected to increase at a compound annual growth rate (CAGR) of 28.2% from 2025 to 2035

 

AI in agriculture market was estimated to be worth USD 2.7 billion globally in 2024, and a compound annual growth rate (CAGR) of 28.2% is anticipated throughout the course of the projected period. The industry is expanding significantly due to rising demand for precision agriculture and higher agricultural yields. The market's primary drivers are the growing emphasis on improved crop management and the growing usage of drones for pesticide spraying.

Concerns over food security are also growing, and effective farming methods are required due to the scarcity of arable land. A decrease in the availability of agricultural labor is filled by automation. AI and IoT sensors are used to effectively monitor crops and soil. Data analytics is done effectively to make better use of available resources. The market need for artificial intelligence is being driven by the growing need for AI-powered drones for improved crop health assessment.

 

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Growth Drivers

The introduction and contribution of AI in agriculture are primarily driven by the growing desire for more efficient crop productivity. Another important factor driving the market's expansion is the increased emphasis on improving sustainability and productivity. The market for artificial intelligence in agriculture is expanding due to the increasing use of cutting-edge farming technology like computer vision and machine learning. Growing agricultural activity and farmers' increasing demand for real-time data are major factors propelling market expansion. One of the reasons propelling the market is the growing demand from farmers for high-tech tools.

However, one of the main causes of the market's sluggish growth rate is the high price of AI-enabled goods and services. AI makes sure that water, fertilizer, and other resources are used as efficiently as possible, which lowers waste and boosts yields. Real-time actionable insights from sensor data are provided by AI-powered IoT devices. AI effectively meets the growing need for precise weather pattern forecasting, which is tangentially related to agriculture.

Segmentation

By Technology

·         Machine Learning

·         Predictive Analysis

·         Computer Vision

By Offering

·         Hardware

·         Software

·         AI-as-a-Service

·         Service

By Application

·         Precision Farming

·         Agriculture Robots

·         Livestock Monitoring

·         Drone Analytics

·         Labor Management

·         Others

Regional Outlook

·         Asia Pacific

·         North America

·         Latin America

·         Europe

·         Middle East and Africa

Key Players

·         John Deere and Company

·         Microsoft

·         IBM

·         Farmers Edge Inc.

·         AgEagle Aerial Systems Inc.

·         Descartes Labs, Inc.

·         The Climate Corporation

·         Other Players

 

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xResearch is a market research and consulting organization that uses unique data, expert analysis, and new technologies to create trusted intelligence on industries. Our research is focused on delivering an informed and impartial view on essential market data of industry, and it is primarily driven by an in-depth study covering the following parameters: Market Sizing and Forecasting, Market Segmentation, Competitive Analysis, Strategic Assessment and Business Modelling.

                                   

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