Big Data Analytics in Agriculture 2018 Global Market SWOT Analysis and Opportunities To 2023 | Key Players : Awhere, Farmlogs, Onfarm, Farmersedge, Agribotix, Agdna

WiseGuyReports.Com Publish a New Market Research Report On –“ Big Data Analytics in Agriculture 2018 Global Market SWOT Analysis and Opportunities To 2023 | Key Players : Awhere, Farmlogs, Onfarm, Farmersedge, Agribotix, Agdna”.

Description:-

Agriculture industry is undergoing policy reforms in almost every part of the world. Hence, new initiatives of production systems are being attempted in the form of contract farming or corporate farming.

Scope of the Report:
Market players are focusing on new technology and working on introducing new parameters so as to gain maximum efficiency to entice the agricultural sector.

The global Big Data Analytics in Agriculture market is valued at xx million USD in 2017 and is expected to reach xx million USD by the end of 2023, growing at a CAGR of xx% between 2017 and 2023.

The Asia-Pacific will occupy for more market share in following years, especially in China, also fast growing India and Southeast Asia regions.
North America, especially The United States, will still play an important role which cannot be ignored. Any changes from United States might affect the development trend of Big Data Analytics in Agriculture.

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Europe also play important roles in global market, with market size of xx million USD in 2017 and will be xx million USD in 2023, with a CAGR of xx%.
This report studies the Big Data Analytics in Agriculture market status and outlook of Global and major regions, from angles of players, countries, product types and end industries; this report analyzes the top players in global market, and splits the Big Data Analytics in Agriculture market by product type and applications/end industries.

Market Segment by Companies, this report covers
The Climate
Awhere
Farmlogs
Onfarm
Farmersedge
Agribotix
Agdna
Conservis

Market Segment by Regions, regional analysis covers
North America (United States, Canada and Mexico)
Europe (Germany, France, UK, Russia and Italy)
Asia-Pacific (China, Japan, Korea, India and Southeast Asia)
South America (Brazil, Argentina, Colombia)
Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)

Market Segment by Type, covers
Capturing Data
Storing Data
Sharing Data
Analyzing Data
Others

Market Segment by Applications, can be divided into
Chemical
Weather
Financial
Crop Production
Farm Equipment

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Table Of Contents – Major Key Points

1 Big Data Analytics in Agriculture Market Overview
1.1 Product Overview and Scope of Big Data Analytics in Agriculture
1.2 Classification of Big Data Analytics in Agriculture by Types
1.2.1 Global Big Data Analytics in Agriculture Revenue Comparison by Types (2017-2023)
1.2.2 Global Big Data Analytics in Agriculture Revenue Market Share by Types in 2017
1.2.3 Capturing Data
1.2.4 Storing Data
1.2.5 Sharing Data
1.2.6 Analyzing Data
1.2.7 Others
1.3 Global Big Data Analytics in Agriculture Market by Application
1.3.1 Global Big Data Analytics in Agriculture Market Size and Market Share Comparison by Applications (2013-2023)
1.3.2 Chemical
1.3.3 Weather
1.3.4 Financial
1.3.5 Crop Production
1.3.6 Farm Equipment
1.4 Global Big Data Analytics in Agriculture Market by Regions
1.4.1 Global Big Data Analytics in Agriculture Market Size (Million USD) Comparison by Regions (2013-2023)
1.4.1 North America (USA, Canada and Mexico) Big Data Analytics in Agriculture Status and Prospect (2013-2023)
1.4.2 Europe (Germany, France, UK, Russia and Italy) Big Data Analytics in Agriculture Status and Prospect (2013-2023)
1.4.3 Asia-Pacific (China, Japan, Korea, India and Southeast Asia) Big Data Analytics in Agriculture Status and Prospect (2013-2023)
1.4.4 South America (Brazil, Argentina, Colombia) Big Data Analytics in Agriculture Status and Prospect (2013-2023)
1.4.5 Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa) Big Data Analytics in Agriculture Status and Prospect (2013-2023)
1.5 Global Market Size of Big Data Analytics in Agriculture (2013-2023)

2 Manufacturers Profiles
2.1 The Climate
2.1.1 Business Overview
2.1.2 Big Data Analytics in Agriculture Type and Applications
2.1.2.1 Product A
2.1.2.2 Product B
2.1.3 The Climate Big Data Analytics in Agriculture Revenue, Gross Margin and Market Share (2016-2017)
2.2 Awhere
2.2.1 Business Overview
2.2.2 Big Data Analytics in Agriculture Type and Applications
2.2.2.1 Product A
2.2.2.2 Product B
2.2.3 Awhere Big Data Analytics in Agriculture Revenue, Gross Margin and Market Share (2016-2017)
2.3 Farmlogs
2.3.1 Business Overview
2.3.2 Big Data Analytics in Agriculture Type and Applications
2.3.2.1 Product A
2.3.2.2 Product B
2.3.3 Farmlogs Big Data Analytics in Agriculture Revenue, Gross Margin and Market Share (2016-2017)
2.4 Onfarm
2.4.1 Business Overview
2.4.2 Big Data Analytics in Agriculture Type and Applications
2.4.2.1 Product A
2.4.2.2 Product B
2.4.3 Onfarm Big Data Analytics in Agriculture Revenue, Gross Margin and Market Share (2016-2017)
2.5 Farmersedge
2.5.1 Business Overview
2.5.2 Big Data Analytics in Agriculture Type and Applications
2.5.2.1 Product A
2.5.2.2 Product B
2.5.3 Farmersedge Big Data Analytics in Agriculture Revenue, Gross Margin and Market Share (2016-2017)
2.6 Agribotix
2.6.1 Business Overview
2.6.2 Big Data Analytics in Agriculture Type and Applications
2.6.2.1 Product A
2.6.2.2 Product B
2.6.3 Agribotix Big Data Analytics in Agriculture Revenue, Gross Margin and Market Share (2016-2017)
2.7 Agdna
2.7.1 Business Overview
2.7.2 Big Data Analytics in Agriculture Type and Applications
2.7.2.1 Product A
2.7.2.2 Product B
2.7.3 Agdna Big Data Analytics in Agriculture Revenue, Gross Margin and Market Share (2016-2017)

Continued……

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