Press release
Artificial Intelligence (Ai) In Agriculture Market 2021 New Innovative Ideas to Boost Global Growth with Top Key Players: FarmBot, Precision, Harvest Croo, Trace Genomics, Vision Robotics, Granular, Resson, Sky Squirrel Technologies, Microsoft, CropX, aWh
In view with the current pandemic our analysts have thoroughly analyzed and presented the following parameters under the detailed Covid – 19 impact analysis in the Artificial Intelligence (Ai) In Agriculture research report:
Impact on Market Size
Detailed Segmentation – By Product Type, By Application, By End-Use, By Regions, By Key Players
Competitive Strategies to Tackle Negative Impact
End-User Trend, Preferences and Budget Impact
Regulatory Framework/Government Policies
Opportunity Window
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Key players in the global Artificial Intelligence (AI) in Agriculture market covered are:
Descartes Labs
FarmBot
Precision
Harvest Croo
Trace Genomics
Vision Robotics
Granular
Resson
Sky Squirrel Technologies
Microsoft
CropX
aWhere
Spensa Technologies
Connecterra
Autonomous Tractor Corporation
IBM
ec2ce
John Deere
Prospera technologies
Mavrx
Agribotix
Cainthus
Vine Rangers
The Climate Corporation
Intel
Gamaya
SAP
On the basis of types, the Artificial Intelligence (AI) in Agriculture market from 2015 to 2025 is primarily split into:
Hardware
Software
Service
On the basis of applications, the Artificial Intelligence (AI) in Agriculture market from 2015 to 2025 covers:
Precision Farming
Livestock Monitoring
Agriculture Robots
Drone Analytics
Others
According to Qurate Research analysts, the ever-increasing demand for Artificial Intelligence (Ai) In Agriculture along with best operating supply chain management, efficiency, and overall experience are a few factors that contributed to the growth of the Artificial Intelligence (Ai) In Agriculture market. Moreover, the incorporation of social media and online techniques to promote businesses and newly launched products are a few other impacting factors. However, a few restraining factors and challenges are also mentioned in this section to help the manufacturers and associated people to avoid challenges, deal with risk, and create the presence of their business.
Artificial Intelligence (Ai) In Agriculture Market: Regional Analysis Includes:
Asia-Pacific (Vietnam, China, Malaysia, Japan, Philippines, Korea, Thailand, India, Indonesia, and Australia)
Europe (Turkey, Germany, Russia UK, Italy, France, etc.)
North America (the United States, Mexico, and Canada.)
South America (Brazil etc.)
The Middle East and Africa (GCC Countries and Egypt.)
We at Qurate offer 20% free customization where in if you want us to cover analysis on a particular geography or segmentation which is not a part of the scope, please let us know so that the same can be provided.
Who are the global manufacturers of the Artificial Intelligence (Ai) In Agriculture are what is their market share, value, volume, competitive landscape, SWOT analysis and the future development plans?
What are the prime drivers, growth/decline factors and challenges of the Artificial Intelligence (Ai) In Agriculture?
How is the Artificial Intelligence (Ai) In Agriculture industry expected to evolve in the forecasted period of 2021– 2028?
What are the consumption patterns across the various regions?
How has Covid–19 impacted the industry and has there been a change in the regulatory policy framework?
Which are the key areas of applications and product type that may expect a huge demand during the forecast period 2021–2028.
What are the key offerings and new strategies adopted by the players of the Artificial Intelligence (Ai) In Agriculture?
Get Discount on this Report@ https://www.qurateresearch.com/report/discount/BnF/2020-2025-global-artificial-intelligence-ai-in-agriculture-market/QBI-MR-BnF-944129
Please note – We also provide sectional (chapter) purchase from the report and can customize the study based on your specific research requirements.
Chapter wise detailed table of contents of the Artificial Intelligence (Ai) In Agriculture research report include –
Chapter 1: Industry Overview of the Artificial Intelligence (Ai) In Agriculture
Definition
Executive Summary
Classification
Applications
Regions
Chapter 2: Market competition by Key players/suppliers of the Artificial Intelligence (Ai) In Agriculture
Manufacturing cost analysis
Raw material and supplies
Production process
Supply chain analysis
Chapter 3: Value (Revenue) and Volume (Sale) by Region
Revenue
Market share
Sales
Chapter 4, 5, and 6: Artificial Intelligence (Ai) In Agriculture by Type, Application, and End User
Market share by Type, Application, and End user
Growth rate
Drivers, challenges, and opportunities
Chapter 7: Competitive landscape analysis of the Artificial Intelligence (Ai) In Agriculture
Product / Service Portfolio
Financial information
Recent developments
Business strategies
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