AI in Agriculture Market Development Till 2025 | IBM, Microsoft Corporation, Descartes Labs, Deere & Company, Granular, aWhere, The Climate Corporation¸ Agribotix, Tule Technologies, Prospera, Mavrx, Cropx, Harvest Croo, Farmbot

AI in Agriculture Market research report delivers the systematic and comprehensive market research study, along with the facts and figures associated with any subject in the field of marketing. The estimations of CAGR values are quite essential which helps businesses decide upon the investment value over the time period. The report contains the details about market analysis, market definition, market segmentation, key development areas, competitive analysis and research methodology. This AI in Agriculture Market report also studies the market status, growth rate, future trends, market drivers, opportunities and challenges, risks and entry barriers, sales channels, and distributors with the help of SWOT analysis and Porter's Five Forces Analysis.

This Global AI in Agriculture Market research report potentially offers plentiful insights and business solutions that will lend a hand to win the competition. While analysing market data, company snapshot, geographical presence, product portfolio, and recent developments are taken into account for studying the company profiles. The report provides classification by companies, region, type and end-use industry. It is a professional and a detailed report focusing on primary and secondary drivers, market share, market size, leading segments and geographical analysis. The AI in Agriculture Market report has appropriate solutions to the complex business challenges and initiates an effortless decision-making process.

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Some of the major players in global AI in agriculture market are:

• IBM

• Microsoft Corporation

• Descartes Labs

• Deere & Company

• Granular

• aWhere

• The Climate Corporation

• Agribotix LLC

• Tule Technologies

• Prospera

• Mavrx Inc.

• Cropx

• Harvest Croo

• Farmbot

• Trace Genomics

• Spensa Technologies Inc.

• Resson

• Vision Robotics

• Autonomous Tractor Corporation

• Among others.

Market Analysis: Global AI in Agriculture Market

The Global AI in Agriculture Market accounted for USD 432.5 million in 2017 and is projected to grow at a CAGR of 22.7% during the forecast period of 2018 to 2025. Artificial Intelligence (AI) in agriculture is utilization of cognitive technologies that helps in learning, reasoning, understanding and interacting, which in result increases the efficiency. It offers various advantages such as Image recognition and insight, chatbots for farmers, help IoT achieve its maximum potential and determine the best options to maximize return on crops.

Table of Content: Global AI in Agriculture Market

Part 01: Executive Summary

Part 02: Scope of The Report

Part 03: Global AI in Agriculture Market Landscape

Part 04: Global AI in Agriculture Market Sizing

Part 05: Global AI in Agriculture Market Segmentation By Product

Part 06: Five Forces Analysis

Part 07: Customer Landscape

Part 08: Geographic Landscape

Part 09: Decision Framework

Part 10: Drivers And Challenges

Part 11: Market Trends

Part 12: Vendor Landscape

Part 13: Vendor Analysis

And More…..Get Detailed TOC @ https://databridgemarketresearch.com/toc/?dbmr=global-ai-agriculture-market

Segmentation:

On the basis of offering:

• Hardware
• Software
• Service
• AI-As-A-Service

Hardware is sub segmented into:

• Network
• Storage Device
• Processor

On the basis of technology:

• Predictive Analytics
• Machine Learning
• Computer Vision

On the basis of application:

• Livestock Monitoring
• Precision Farming
• Agriculture Robots
• Livestock Monitoring
• Drone Analytics
• Others

On the basis of geography:

• North America
• South America
• Europe
• Asia-Pacific
• Middle East & Africa.

Major Market Drivers:

• Increasing adoption of new advanced technologies and IMS

• Rising demand for agricultural production

• Government support and initiatives for the adoption of modern agricultural techniques

• Maximizing crop productivity along with the implementation of various techniques

• Increasing use of drones in agricultural farms

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