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Artificial Intelligence (Ai) In Agriculture Market: Emerging Technologies, Regional Trends, Competitive Landscape, Regional Analysis & Forecasts to 2023
Artificial Intelligence (Ai) In Agriculture Market
The Asia-Pacific will occupy for more market share in following years, especially in China, also fast growing India and Southeast Asia regions. United States will still play an important role which cannot be ignored. Any changes from United States might affect the development trend of Artificial Intelligence (AI) in Agriculture.
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Major Key Players:
IBM, John Deere, Microsoft, Agribotix, The Climate Corporation, Ec2ce, Descartes Labs, Sky Squirrel Technologies, Mavrx, AWhere, Gamaya, Precision Hawk, Granular, Prospera, Cainthus, Spensa Technologies, Resson, FarmBot, Connecterra, Vision Robotics, Harvest Croo, Autonomous Tractor Corporation, Trace Genomics, Vine Rangers, CropX
The research report entitled on the Artificial Intelligence (Ai) In Agriculture market offers useful understandings into the trends and factors that impel this market. The initial part of this market studies comprehensively and discusses the prominent features of the market in terms of the it’s structure, landscape, demand factors, challenges and very significantly, the estimated market performance.
A detailed overview of major key elements such as driving and restraining factors, technological advancements and global opportunities have been studied in this report. The progress of various countries have been examined on the basis of price, share, import, export, and local supply chain analysis. The statistical data of investments have been calculated by considering manufacturing base, raw materials as well as their suppliers.
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Market segment by Regions/Countries, this report covers
• United States
• EU
• Japan
• China
• India
• Southeast Asia
Market segment by Type, the product can be split into
• Machine Learning
• Computer Vision
• Predictive Analytics
Market segment by Application, Artificial Intelligence (AI) in Agriculture can be split into
• Precision Farming
• Drone Analytics
• Agriculture Robots
• Livestock Monitoring
• Other
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The micro and macroeconomic factors influencing the growth of the market are covered in detail in this study. Furthermore, the prime strengths and weaknesses of the key vendors’ dominant in the market have been analyzed on the basis of SWOT analysis. The technological advancements taking place in this market have been presented by detailing their impact on the growth of the market.
Table of Content:
Chapter 1 Artificial Intelligence (AI) in Agriculture Market Overview
Chapter 2 Global Economic Impact on Artificial Intelligence (AI) in Agriculture Market Industry
Chapter 3 Market Competition by Manufacturers
Chapter 4 Production, Revenue (Value) by Region
Chapter 5 Supply (Production), Consumption, Export, Import by Regions
Chapter 6 Production, Revenue (Value), Price Trend by Type
Chapter 7 Market Analysis by Application
Chapter 8 Manufacturers Analysis
Chapter 9 Artificial Intelligence (AI) in Agriculture Market Manufacturing Cost Analysis
Chapter 10 Market Forecast
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