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Artificial Intelligence in Agriculture Market to Witness Huge Growth by Key Players: IBM, John Deere, Microsoft, Farmers Edge, Climate Corp, ec2ce, Descartes Labs, AgEagle, aWhere and Others.

04-30-2020 09:10 AM CET | IT, New Media & Software

Press release from: ReportsandReports

Artificial Intelligence in Agriculture Market to Witness Huge

According to Market Study Report, Artificial Intelligence in Agriculture Market provides a comprehensive analysis of the Artificial Intelligence in Agriculture Market segments, including their dynamics, size, growth, regulatory requirements, competitive landscape, technological trends and emerging opportunities of global industry. This report also provides market landscape and market share information in the Artificial Intelligence in Agriculture Market. An exclusive data offered in this report is collected by research and industry experts team.

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The Overall Artificial Intelligence in Agriculture Market is estimated to be USD 1.0 Billion in 2020 and is projected to reach USD 4.0 Billion by 2026, at a CAGR of 25.5% between 2020 and 2026.This report spread across 152 pages, profiling 11 companies and supported with 81 tables and 40 figures are now available in this research.

Top Key Players Profiled in the Artificial Intelligence in Agriculture Market:
o International Business Machines Corp. (IBM) (US)
o Deere & Company (John Deere) (US)
o Microsoft Corporation (Microsoft) (US)
o Farmers Edge Inc. (Farmers Edge) (Canada)
o The Climate Corporation (Climate Corp.) (US)
o ec2ce (ec2ce) (Spain)
o Descartes Labs Inc. (Descartes Labs) (US)
o AgEagle Aerial Systems (AgEagle) (US)
o a Where Inc. (aWhere) (US)

"Services segment to grow at a higher CAGR during the forecast period"
The COVID-19 impact on the analytics market, by component, is segmented into solutions and services. The services segment is expected to grow at a rapid pace during the forecast period. The services considered in the report are managed and professional services. The growth of this segment can be attributed to the increasing deployment of analytics solutions, which leads to the growing demand for pre- and post-deployment services.

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"By technology, the machine learning segment is estimated to account for the largest share of the AI in agriculture market during the forecast period."
Machine learning-enabled solutions are being significantly adopted by agricultural organizations and farmers worldwide to enhance farm productivity and to gain a competitive edge in business operations. In the coming years, the application of machine learning in various agricultural practices is expected to rise exponentially.

"By offering, the AI-as-a-Service segment is projected to register the highest CAGR from 2020 to 2026."
Increasing demand for machine learning tool kits and applications that are available in AI-based services, along with benefits, such as advanced infrastructure at minimal cost, transparency in business operations, and better scalability, is leading to the growth of the AI-as-a-Service segment.

"By application, the precision farming segment held the largest market size in 2019."
Precision farming involves the usage of innovative artificial intelligence (AI) technologies, such as machine learning, computer vision, and predictive analytics tools, for increasing agriculture productivity. It comprises a technology-driven analysis of data acquired from the fields for increasing crop productivity. Precision farming helps in managing variations in the field accurately, thus enabling the growth of more crops using fewer resources and at reduced production costs.

Breakdown of primary participants' profile:
o By Company Type: Tier 1 - 35%, Tier 2 - 40%, and Tier 3 - 25%
o By Designation: C-level Executives - 57%, Directors - 29%, and Others - 14%
o By Region: Americas- 40%, Europe- 30%, Asia Pacific (APAC)- 20%, and Rest of the World (RoW) - 10%

Competitive Landscape of Artificial Intelligence in Agriculture Market:
1 Overview
2 Ranking Analysis
3 Competitive Scenario
3.1 Product Launches And Developments
3.2 Partnerships, Agreements, And Collaborations
3.3 Mergers And Acquisitions
4 Competitive Leadership Mapping
4.1 Visionary Leaders
4.2 Dynamic Differentiators
4.3 Innovators
4.4 Emerging Companies

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Reason to access this report:
o This report includes statistics pertaining to the AI in agriculture market based on technology, offering, application, and geography.

o The report includes detailed information on major drivers, restraints, opportunities, and challenges pertaining to the market.

o The report also includes illustrative segmentation, analysis, and forecast for the AI in agriculture market based on its segments and sub segments.

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