The primary objective of the market report by GMI Research is to help the users understand the market scenario in terms of its definition, segmentation, drivers, opportunities, market trends, and the challenges that the market is facing. This report focuses on the market, especially in North America, Europe, Asia-Pacific, and the rest of the world.

Key Drivers of the Artificial Intelligence in Agriculture Market:

The strong demand for agriculture production due to the growing population rate, increasing implementation of information management systems and advanced technologies for enhancing crop productivity, and the rising number of government initiatives are the significant factors contributing to the growth of the artificial intelligence (AI) in agriculture market. AI-enabled applications help to control pests, enhances the quality of crops, monitor the soil, and improve agriculture-associated tasks in the complete food supply chain. Moreover, the increasing adoption of Internet of Things and AI technologies such as computer vision, machine learning, predictive analytics, and deep learning to asses temperature, soil moisture, plant health, weather conditions, and other functions, are further surging the growth of the global artificial intelligence in agriculture market.

Artificial intelligence helps in enhancing yield quality and decreases the labor cost, which is further accelerating the demand for global artificial intelligence in agriculture market. The start-ups in agriculture are increasingly adopting AI-enabled methodology to improve the efficiency of agricultural production. Applying AI-enabled approaches helps in identifying different diseases or climatic changes more accurately and quickly. The combination of these factors will drive the growth of the market. The major factors that are restraining the growth of the market include the high cost related to the collection of precise field data.

List of Top Leading Manufacturers/Key-Players of the Artificial Intelligence in Agriculture Market:

Variousnotable players in the market include Microsoft Corporation, Prospera Technologies, AgEagle Aerial Systems Inc., The Climate Corporation (Subsidiary of Monsanto), IBM Corporation, Deere & Company, Granular Inc., Descartes Labs, Inc., Taranis, aWhere Inc., and GAMAYA, among others.

Segmentation of the Artificial Intelligence in Agriculture Market:

Thestudy’s objective is to define market sizes of different segments & countries in recent years and predict the values in the coming six years. The detailed segments and sub-segments of the market are explained below:

Segment by Offering:

Hardware
o Processor

o Storage Device

o Network

Software
o AI Platform

o AI Solution

AI-as-a-Service
Service
o Deployment and Integration

o Support and Maintenance

Segment by Technology:

Machine Learning
Computer Vision
Predictive Analytics
Segment by Application:

Precision Farming
o Yield Monitoring

o Field Mapping

o Crop Scouting

o Weather Tracking and Forecasting

o Irrigation Management

o Livestock Monitoring

Drone Analytics
Agriculture Robots
Other Applications
o Smart Greenhouse Applications

o Soil Management

Moisture Monitoring
Nutrient Monitoring
Fish Farming Application
Segment by Region:

North America
o United States of America

o Canada

Asia Pacific
o China

o Japan

o India

o Rest of APAC

Europe
o United Kingdom

o Germany

o France

o Spain

o Rest of Europe

RoW
o Brazil

o South Africa

o Saudi Arabia

o UAE

o Rest of the world (remaining countries of the LAMEA region)

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