AI in Agriculture Market 2020 Sets the Table for Continued Growth | Data Bridge Market Research

Global AI in Agriculture business report can be elaborated in terms of breakdown of data by manufacturers, region, type and application, market status, market share, growth rate, future trends, market drivers, opportunities and challenges, emerging trends, risks and entry barriers, sales channels, and distributors. The report provides key statistics on the market status of Global and Regional manufacturers and is a valuable source of guidance and direction for companies and individuals interested in the ICT industry. This AI in Agriculture market research report is a resource, which provides current as well as upcoming technical and financial details of the industry for the forecast period.

AI in Agriculture Market 2020 Analysis and Precise Outlook: Revenue Analysis, Technological Adoption and Developments, Major Trends, and Market Overview

Leading Players operating in the AI in Agriculture Market are:

Key players are involved in mergers and acquisition to strengthen their market position. Owing to increasing competition frequent innovations are taking place in the market. Some of the companies operating the industry are:

IBM,
Microsoft,
Descartes Labs,
Deere & Company,
Granular,
aWhere,
Resson,

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.

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Be the first to knock the door showing potential that Global AI in Agriculture market is holding in it. Uncover the Gaps and Opportunities to derive most relevant insights from our research document to gain market size.

A team of experienced and consummate market research professionals persistently track key industries to spot key developments, unmet needs and possible growth opportunities. A numerous markets, marketing strategies, trends, future products and rising opportunities have been considered while studying market for preparing this AI in Agriculture report. This market research report serves the clients by providing data and information on their business scenario with which they can stay ahead of the competition in today's rapidly changing business environment.

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.

Market Segmentation

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)

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.

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.

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?

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.

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.

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.

TABLE OF CONTENTS

1 Introduction

2 Research Methodology

3 Executive Summary

4 Premium Insights

5 Market Overview and Industry Trends

6 AI in Agriculture Market, By Type

7 AI in Agriculture Market, By Organization Size

8 AI in Agriculture Market Analysis, By Region

9 Competitive Landscape

10 Company Profiles

New Business Strategies, Challenges & Policies are mentioned in Table of Content, Request FREE TOC @ https://www.databridgemarketresearch.com/toc?dbmr=global-ai-agriculture-market&AM

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