AI in Agriculture Market future innovations in-depth: Prospera, Mavrx, Awhere
If you are involved in the AI in Agriculture industry or intend to be, then this study is for you. It’s vital you keep your market knowledge up to date. If you have a different set of players/manufacturers according to geography or needs regional or country segmented reports we can provide customization accordingly.
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The research document will answer following questions such as:
• How is the Global AI in Agriculture market evolving?
• What are the key next-generation AI in Agriculture technologies/applications?
• What are the main applications of AI in Agriculture ? How do the AI in Agriculture fit into the market?
• At what stage of development are the key AI in Agriculture ? Are there any planned, existing or successful demonstration and pilot projects going?
• What key challenges do Global AI in Agriculture have to overcome to become fully commercially viable? Is their development and commercialization dependent on cost reductions or seeks technological/application wise breakthroughs?
• What is the outlook for key emerging AI in Agriculture ?
• What difference does performance characteristics of AI in Agriculture creates from those of established entities?
• Which companies, organizations are involved with Global AI in Agriculture growth story?
• Which market spaces are the most active in the development of Global AI in Agriculture market? How do the conditions for the development and deployment of differ in key regional markets?
• What is driving and restraining factors affecting the development and commercialization?
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Briefing about some major insights that are included in the study are Global AI in Agriculture Sales (K Units) and Revenue (Million USD) by Top manufacturers that includes 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 for forecasted period 2017-2022. Each player highlighted in the research study contains companies Basic Information, Manufacturing Base, Sales Area and Its Competitors, in-depth business overview, geographic footprint and contact information. The report contains a comprehensive market and vendor landscape in addition to SWOT Analysis.
Global AI in Agriculture (Thousands Units) by Application (2017-2022)
Market Segment by Application 2012 2017 2022 Market Share (%)2022 CAGR (%)
Precision Farming xx xx xx xx% xx%
Livestock Monitoring xx xx xx xx% xx%
Drone Analytics xx xx xx xx% xx%
Agriculture Robots xx xx xx xx% xx%
Other Applications xx xx xx xx% xx%
Total xx xx xx 100% xx%
Geographically, this report is segmented into several key Regions, with Sales, revenue, Market Share (%) and Growth Rate (%) of AI in Agriculture in regions/countries such as United States, EU, Japan, China, India & Southeast Asia, from 2012 to 2022 (forecast).
Market Segment by Regions 2012 2017 2022 Share (%) CAGR (2017-2022)
United States xx xx xx xx% xx%
EU xx xx xx xx% xx%
Japan xx xx xx xx% xx%
China xx xx xx xx% xx%
India xx xx xx xx% xx%
Southeast Asia xx xx xx xx% xx%
Total xx xx xx xx% xx%
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In addition to this Global AI in Agriculture Market Split by Product Type such as Hardware, Software & AI-As-A-Service and also presented nicely through graphs and tables.
Global AI in Agriculture (Thousands Units) and Revenue (Million USD) Market Split by Product Type such as Hardware, Software & AI-As-A-Service
Market Segment by Type 2016 2017 2018 2019 2020 2021 2022
Hardware xx xx xx xx xx Xx xx
-Change (%) xx% xx% xx% xx% xx% xx% xx%
Software xx xx xx xx xx Xx xx
-Change (%) xx% xx% xx% xx% xx% xx% xx%
AI-As-A-Service xx xx xx xx xx Xx xx
-Change (%) xx% xx% xx% xx% xx% xx% xx%
There are 15 Chapters to deeply display the Global AI in Agriculture market.
Chapter 1, to describe AI in Agriculture Introduction, product scope, market overview, market opportunities, market risk, market driving force;
Chapter 2, to analyze the top manufacturers of AI in Agriculture , with sales, revenue, and price of AI in Agriculture , in 2017;
Chapter 3, to display the competitive situation among the top manufacturers, with sales, revenue and market share in 2017;
Chapter 4, to show the Global market by regions, with sales, revenue and market share of Global AI in Agriculture , for each region, from 2012 to 2017;
Chapter 5, 6, 7, 8 and 9, to analyze the key regions, with sales, revenue and market share by key countries in United States, EU, Japan, China, India & Southeast Asia;
Chapter 10 and 11, to show the market by type and application, with sales market share and growth rate by type, application [Precision Farming, Livestock Monitoring, Drone Analytics, Agriculture Robots & Other Applications], from 2012 to 2017;
Chapter 12, AI in Agriculture market forecast, by regions, type and application, with sales and revenue, from 2017 to 2022;
Chapter 13, 14 and 15, to describe AI in Agriculture sales channel, distributors, traders, dealers, Research Findings and Conclusion, appendix and data source.
This brand new research report with title Global AI in Agriculture Market Size, Status and Forecast 2022 provides 100+ in-depth tables, charts and graphs that will help you make better informed strategic decisions.
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