Artificial Intelligence (AI) in Agriculture Market size is being driven by the growing adoption of the robots in agriculture. Increasing consumption and rising requirement of better yield of crops are estimated to be one of the major factors that is fueling the demand of robots in agriculture. Increasing consumption motivates farmers to scale up farming operations and give rise to the requirement of automating farming operations. As the farmers are shifting more towards automation, drones and robots have become integral part of agriculture farms and are enhancing yield and improving the product quality. Since AI is the backbone of robotics, increasing adoption of robots in agriculture is estimated to drive the AI in agriculture market growth.
The Global AI in Agriculture market is expected to grow at CAGR of +22% during forecast period.
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New market research report gives an in-depth idea about the global AI in Agriculture market. It highlights the recent market scenario, growth in the past few years, and opportunities present for manufacturers in the future. In this research for the completion of both primary and secondary details, methods and tools are used. Also, investments instigated by organizations, government, non-government bodies, and institutions are projected in details for better understanding about the market.
Top Companies Profiled in this Report includes, 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
After studying key companies, the report focuses on the startups contributing towards the growth of the market. Possible mergers and acquisitions among the startups and key organizations are identified by the report’s authors in the study. Most companies in the AI in Agriculture market are currently engaged in adopting new technologies, strategies, product developments, expansions, and long-term contracts to maintain their dominance in the global AI in Agriculture market. With the advent of new technologies on a regular basis, players are striving hard to incorporate the latest technology to gain a competitive edge above the rest.
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For a detailed competitive analysis, the Global AI in Agriculture Market is segmented on the basis of region, application, and product type. By region, the global sales market is divided into Asia-pacific, Europe, Latin America, the Middle East and Africa, and North America. Major industries are concentrating on distributing their products and services across various provinces. Moreover, acquisitions and unions from some of the leading administrations are on the cards in the near future. Efforts are being taken by most of the companies to improve their research and development activities to introduce innovations. All these factors are predicted to propel the Global AI in Agriculture Market.
The report provides insights on the following pointers:
– Market Penetration: Comprehensive information on the product portfolios of the top players in the AI in Agriculture market.
– Product Development/Innovation: Detailed insights on the upcoming technologies, R&D activities, and product launches in the market
– Competitive Assessment: In-depth assessment of the market strategies, geographic and business segments of the leading players in the market
– Market Development: Comprehensive information about emerging markets. This report analyzes the market for various segments across geographies
– Market Diversification: Exhaustive information about new products, untapped geographies, recent developments, and investments in the AI in Agriculture market
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Table of Contents
Global AI in Agriculture Market Research Report
Chapter 1 AI in Agriculture Market Overview
Chapter 2 Global Economic Impact on Industry
Chapter 3 Global Market Competition by Manufacturers
Chapter 4 Global Production, Revenue (Value) by Region
Chapter 5 Global Supply (Production), Consumption, Export, Import by Regions
Chapter 6 Global Production, Revenue (Value), Price Trend by Type
Chapter 7 Global Market Analysis by Application
Chapter 8 Manufacturing Cost Analysis
Chapter 9 Industrial Chain, Sourcing Strategy and Downstream Buyers
Chapter 10 Marketing Strategy Analysis, Distributors/Traders
Chapter 11 Market Effect Factors Analysis
Chapter 12 Global AI in Agriculture Market Forecast
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