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Explore Why AI in Agriculture Market 2020 Thriving Worldwide | Microsoft Corporation, Descartes Labs, Deere & Company, Granular

01-28-2020 11:59 AM CET | IT, New Media & Software

Press release from: Data Bridge Market Research

Global AI in Agriculture Market

Global AI in Agriculture Market

Data Bridge Market research has recently released expansive research on Global AI in Agriculture Market with 100+ market data Tables, Pie Chart, and Graphs, Figures spread through Pages and easy to understand detailed analysis. The AI in Agriculture report provides strategically analysed market research analysis, observant business insights, telescopic view of the current market trends, situations, opportunities, risks, entry barriers, sales channels and status of this industry. By applying best-practice models and research methodologies, complete market analysis is performed in this report to make sure that the report provides accurate market segmentation and insights for the success of client's business. Also, AI in Agriculture market report gives an in-depth knowledge on what the recent developments, products launches are, while also keeping the track for recent acquisitions, mergers, joint ventures and competitive research in the global market industry.

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% forecast to 2025.

Click Here To Access FREE AI in Agriculture Market Sample Report + All Related Graphs & Charts @ https://www.databridgemarketresearch.com/request-a-sample?dbmr=global-ai-agriculture-market&AM

If you are involved in the AI in Agriculture industry or intend to be, then this study will provide you comprehensive outlook. It's vital you keep your market knowledge up to date segmented By Offering (Hardware, Software, Service, AI-As-A-Service), By Technology (Predictive Analytics, Machine Learning, Computer Vision), By Application (Livestock Monitoring, Precision Farming, Agriculture Robots, Livestock Monitoring, Drone Analytics)

Key Market Competitors: AI in Agriculture Industry

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 and Autonomous Tractor Corporation among others.

What are the major market growth 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

Competitive Landscape and AI in Agriculture Market Share Analysis

AI in Agriculture market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, global presence, company strengths and weaknesses, product launch, product width and breadth, application dominance. The above data points provided are only related to the companies' focus related to AI in Agriculture market.

Regional and Country-level Analysis

To comprehend Global AI in Agriculture market dynamics in the world mainly, the worldwide AI in Agriculture market is analyzed across major global regions. DBMR also provides customized specific regional and country-level reports for the following areas.

North America: United States, Canada, and Mexico.

South & Central America: Argentina, Chile, and Brazil.

Middle East & Africa: Saudi Arabia, UAE, Turkey, Egypt and South Africa.

Europe: UK, France, Italy, Germany, Spain, NORDIC {Sweden, Norway, Finland, Denmark etc}, BENELUX {Belgium, The Netherlands, Luxembourg}, and Russia.

Asia-Pacific: India, China, Japan, South Korea, Indonesia, Singapore, and Australia.

Global AI in Agriculture Market Methodology

Data Bridge Market Research presents, all the information, statistics and data included in this AI in Agriculture report is gathered from the truthful sources such as websites, newspapers, journals, white papers, mergers, and annual reports of the companies. To succeed in this competitive market place, market research report plays a very important role by offering important and consequential market insights for your business.

This involves data mining, analysis of the impact of data variables on the market, and primary (industry expert) validation. Apart from this, other data models include Vendor Positioning Grid, Market Time Line Analysis, Market Overview and Guide, Company Positioning Grid, Company Market Share Analysis, Standards of Measurement, Top to Bottom Analysis and Vendor Share Analysis. Triangulation is one method used while reviewing, synthesizing and interpreting field data. Data triangulation has been advocated as a methodological technique not only to enhance the validity of the research findings but also to achieve 'completeness' and 'confirmation' of data using multiple methods

Market Dynamics:

Set of qualitative information that includes PESTEL Analysis, PORTER Five Forces Model, Value Chain Analysis and Macro Economic factors, Regulatory Framework along with Industry Background and Overview

What Porter's Five Forces of Competitive Analysis Provides?

Supplier power:- An assessment of how easy it is for suppliers to drive up prices. This is driven by the: number of suppliers of each essential input; uniqueness of their product or service; relative size and strength of the supplier; and cost of switching from one supplier to another.

Buyer power:- An assessment of how easy it is for buyers to drive prices down. This is driven by the: number of buyers in the market; importance of each individual buyer to the organisation; and cost to the buyer of switching from one supplier to another. If a business has just a few powerful buyers, they are often able to dictate terms.

Competitive rivalry:- The main driver is the number and capability of competitors in the market. Many competitors, offering undifferentiated products and services, will reduce market attractiveness.

Threat of substitution:-  Where close substitute products exist in a market, it increases the likelihood of customers switching to alternatives in response to price increases. This reduces both the power of suppliers and the attractiveness of the market.

Threat of new entry:- Profitable markets attract new entrants, which erodes profitability. Unless incumbents have strong and durable barriers to entry, for example, patents, economies of scale, capital requirements or government policies, then profitability will decline to a competitive rate.

Five forces analysis helps organizations to understand the factors affecting profitability in a specific industry, and can help to inform decisions relating to: whether to enter a specific industry; whether to increase capacity in a specific industry; and developing competitive strategies.

Key Insights that Study is going to provide:

Patent Analysis** No of patents / Trademark filed in recent years.

A complete and useful guide for new market aspirants

Forecast information will drive strategic, innovative and profitable business plans and SWOT analysis of players will pave the way for growth opportunities, risk analysis, investment feasibility and recommendations

The 360-degree AI in Agriculture overview based on a global and regional level

Market Share & Sales Revenue by Key Players & Emerging Regional Players

Competitors - In this section, various AI in Agriculture industry leading players are studied with respect to their company profile, product portfolio, capacity, price, cost, and revenue.

Supply and Consumption - In continuation of sales, this section studies supply and consumption for the AI in Agriculture Market. This part also sheds light on the gap between supply and consumption. Import and export figures are also given in this part

Production Analysis - Production of the AI in Agriculture is analyzed with respect to different regions, types and applications. Here, price analysis of various AI in Agriculture Market key players is also covered.

A separate chapter on Market Entropy to gain insights on Leaders aggressiveness towards market [Merger & Acquisition / Recent Investment and Key Developments]

Sales and Revenue Analysis - Both, sales and revenue are studied for the different regions of the AI in Agriculture Market. Another major aspect, price, which plays an important part in the revenue generation, is also assessed in this section for the various regions.

Other analyses - Apart from the information, trade and distribution analysis for the AI in Agriculture Market

Competitive Landscape: Company profile for listed players with SWOT Analysis, Business Overview, Product/Services Specification, Business Headquarter, Downstream Buyers and Upstream Suppliers.

May vary depending upon availability and feasibility of data with respect to Industry targeted

TABLE OF CONTENTS

Part 01: Executive Summary

Part 02: Scope Of The Report

Part 03: Research Methodology

Part 04: Market Landscape

Part 05: Pipeline Analysis

Part 06: Market Sizing

Part 07: Five Forces Analysis

Part 08: Market Segmentation

Part 09: Customer Landscape

Part 10: Regional Landscape

Part 11: Decision Framework

Part 12: Drivers And Challenges

Part 13: Market Trends

Part 14: Vendor Landscape

Part 15: Vendor Analysis

Part 16: Appendix

This report can be personalized according to your needs. Our analysts and industry experts will work directly with you to understand your requirements and provide you with customized data in a short amount of time.

Browse FREE TOC with selected illustrations and example pages of AI in Agriculture market @ https://www.databridgemarketresearch.com/toc?dbmr=global-ai-agriculture-market&AM

Contact:

Data Bridge Market Research
US: +1 888 387 2818
UK: +44 208 089 1725
Hong Kong: +852 8192 7475
Email: Corporatesales@databridgemarketresearch.com

About Data Bridge Market Research:

An absolute way to forecast what future holds is to comprehend the trend today!

Data Bridge set forth itself as an unconventional and neoteric Market research and consulting firm with unparalleled level of resilience and integrated approaches. We are determined to unearth the best market opportunities and foster efficient information for your business to thrive in the market. Data Bridge endeavors to provide appropriate solutions to the complex business challenges and initiates an effortless decision-making process.

Data Bridge adepts in creating satisfied clients who reckon upon our services and rely on our hard work with certitude. We are content with our glorious 99.9 % client satisfying rate.

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