AI in Agriculture Market Size, Strategic Analysis, Growth Drivers, Industry Trends, Demand and Future Opportunities and Forecast Period

 

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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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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