HTF Market Intelligence Consulting Private Limited

AI in Agriculture Market to See Huge Growth by 2026 : Trace Genomics, Vine Rangers, Ec2ce, Precision Hawk

 

Edison, NJ -- (SBWIRE) -- 12/29/2020 -- The Global AI in Agriculture Market has witnessed continuous growth in the past few years and may grow further during the forecast period (2020-2026). The assessment provides a 360° view and insights, outlining the key outcomes of the industry, current scenario witnesses a slowdown and study aims to unique strategies followed by key players. These insights also help the business decision-makers to formulate better business plans and make informed decisions for improved profitability. In addition, the study helps venture or private players in understanding the companies more precisely to make better informed decisions. Some of the key players in the Global AI in Agriculture market are IBM, Deere & Company, Microsoft, Agribotix, The Climate Corporation (Subsidiary of Monsanto), Granular, Descartes Labs, Prospera, Mavrx, Awhere, Gamaya, Ec2ce, Precision Hawk, Skysquirrel Technologies, Cainthus, Tule Technologies, Resson, Farmbot, Connecterra, Vision Robotics, Harvest Croo, Autonomous Tractor Corporation, Trace Genomics, Vine Rangers, Cropx & Spensa Technologies

What's keeping IBM, Deere & Company, Microsoft, Agribotix, The Climate Corporation (Subsidiary of Monsanto), Granular, Descartes Labs, Prospera, Mavrx, Awhere, Gamaya, Ec2ce, Precision Hawk, Skysquirrel Technologies, Cainthus, Tule Technologies, Resson, Farmbot, Connecterra, Vision Robotics, Harvest Croo, Autonomous Tractor Corporation, Trace Genomics, Vine Rangers, Cropx & Spensa Technologies Ahead in the Market? Benchmark yourself with strategic steps and conclusions recently published by HTF MI. Analyze COVID impact on overall Industry.

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The Major Players Covered in this Report:
IBM, Deere & Company, Microsoft, Agribotix, The Climate Corporation (Subsidiary of Monsanto), Granular, Descartes Labs, Prospera, Mavrx, Awhere, Gamaya, Ec2ce, Precision Hawk, Skysquirrel Technologies, Cainthus, Tule Technologies, Resson, Farmbot, Connecterra, Vision Robotics, Harvest Croo, Autonomous Tractor Corporation, Trace Genomics, Vine Rangers, Cropx & Spensa Technologies

By type, the market is split as:
Hardware, Software & AI-As-A-Service

By the end users/application, sub-segments are:
Precision Farming, Livestock Monitoring, Drone Analytics, Agriculture Robots & Other Applications

Regional Analysis for AI in Agriculture Market:
United States, Europe, China, Japan, Southeast Asia & India

For Consumer Centric Market, Survey Analysis can be included as part of customization which consider demographic factor such as Age, Gender, Occupation, Income Level or Education while gathering data. (if applicable)

Consumer Traits (If Applicable)
? Buying patterns (e.g. comfort & convenience, economical, pride)
? Buying behavior (e.g. seasonal, usage rate)
? Lifestyle (e.g. health conscious, family orientated, community active)
? Expectations (e.g. service, quality, risk, influence)

The Global AI in Agriculture Market study covers current status, % share, future patterns, development rate, SWOT examination, sales channels, to anticipate growth scenarios for years 2020-2026. It aims to recommend analysis of the market with regards to growth trends, prospects, and players contribution in the market development. The report size market by 5 major regions, known as, North America, Europe, Asia Pacific (includes Asia & Oceania seperately), Middle East and Africa (MEA), and Latin America.

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The AI in Agriculture market factors described in this report are:
-Key Strategic Developments in Global AI in Agriculture Market:
The research includes the key strategic activities such as R&D plans, M&A completed, agreements, new launches, collaborations, partnerships & (JV) Joint ventures, and regional growth of the key competitors operating in the market at global and regional scale.

Key Market Features in Global AI in Agriculture Market:
The report highlights AI in Agriculture market features, including revenue, weighted average regional price, capacity utilization rate, production rate, gross margins, consumption, import & export, supply & demand, cost bench-marking, market share, CAGR, and gross margin.

Analytical Market Highlights & Approach
The Global AI in Agriculture Market report provides the rigorously studied and evaluated data of the top industry players and their scope in the market by means of several analytical tools. The analytical tools such as Porters five forces analysis, feasibility study, SWOT analysis, and ROI analysis have been practiced reviewing the growth of the key players operating in the market.

Table of Contents :
Global AI in Agriculture Market Study Coverage:
It includes major manufacturers, emerging players growth story, major business segments of Global AI in Agriculture market, years considered, and research objectives. Additionally, segmentation on the basis of the type of product, application and technology.

Global AI in Agriculture Market Executive Summary
It gives a summary of overall studies, growth rate, available market, competitive landscape, market drivers, trends, and issues, and macroscopic indicators.
Global AI in Agriculture Market Production by Region
Global AI in Agriculture Market Profile of Manufacturers
Players are studied on the basis of SWOT, their products, production, value, financials, and other vital factors.

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Key Points Covered in AI in Agriculture Market Report:
AI in Agriculture Overview, Definition and Classification
Market drivers and barriers
AI in Agriculture Market Competition by Manufacturers
AI in Agriculture Capacity, Production, Revenue (Value) by Region (2020-2026)
AI in Agriculture Supply (Production), Consumption, Export, Import by Region (2020-2026)
AI in Agriculture Production, Revenue (Value), Price Trend by Type {, Hardware, Software & AI-As-A-Service}
AI in Agriculture Market Analysis by Application {Precision Farming, Livestock Monitoring, Drone Analytics, Agriculture Robots & Other Applications}
AI in Agriculture Manufacturers Profiles/Analysis
AI in Agriculture Manufacturing Cost Analysis
Industrial/Supply Chain Analysis, Sourcing Strategy and Downstream Buyers
Marketing Strategy by Key Manufacturers/Players, Connected Distributors/Traders
Standardization, Regulatory and collaborative initiatives
Industry road map and value chain
Market Effect Factors Analysis ............

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