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.
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
The base year for the study has been considered 2019, historic year 2014 and 2018, the forecast period considered is from 2020 to 2027. The regions analyzed for the market include North America, Europe, South America, Asia Pacific, and Middle East and Africa. These regions are further analyzed at the country-level. The study also includes attractiveness analysis of type, application and regions which are benchmarked based on their market size, growth rate and attractiveness in terms of present and future opportunity for understanding the future growth of the market.
Market is segmented on the basis:
The report offers in-depth analysis of driving factors, opportunities, restraints, and challenges for gaining the key insight of the market. The report emphasizes on all the key trends that play a vital role in the enlargement of the market from 2019 to 2026.
The report provides company profile of the key players operating in the market and a comparative analysis based on their business overviews industry offering, segment market share, regional presence, business strategies, innovations, mergers & acquisitions, recent developments, joint venture, collaborations, partnerships, SWOT analysis, and key financial information.
Table of Contents
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)
2.8 Conservis
2.8.1 Business Overview
2.8.2 Big Data Analytics in Agriculture Type and Applications
2.8.2.1 Product A
2.8.2.2 Product B
2.8.3 Conservis Big Data Analytics in Agriculture Revenue, Gross Margin and Market Share (2016-2017)
3 Global Big Data Analytics in Agriculture Market Competition, by Players
3.1 Global Big Data Analytics in Agriculture Revenue and Share by Players (2013-2018)
3.2 Market Concentration Rate
3.2.1 Top 5 Big Data Analytics in Agriculture Players Market Share
3.2.2 Top 10 Big Data Analytics in Agriculture Players Market Share
3.3 Market Competition Trend
4 Global Big Data Analytics in Agriculture Market Size by Regions
4.1 Global Big Data Analytics in Agriculture Revenue and Market Share by Regions
4.2 North America Big Data Analytics in Agriculture Revenue and Growth Rate (2013-2018)
4.3 Europe Big Data Analytics in Agriculture Revenue and Growth Rate (2013-2018)
4.4 Asia-Pacific Big Data Analytics in Agriculture Revenue and Growth Rate (2013-2018)
4.5 South America Big Data Analytics in Agriculture Revenue and Growth Rate (2013-2018)
4.6 Middle East and Africa Big Data Analytics in Agriculture Revenue and Growth Rate (2013-2018)
5 North America Big Data Analytics in Agriculture Revenue by Countries
5.1 North America Big Data Analytics in Agriculture Revenue by Countries (2013-2018)
5.2 USA Big Data Analytics in Agriculture Revenue and Growth Rate (2013-2018)
5.3 Canada Big Data Analytics in Agriculture Revenue and Growth Rate (2013-2018)
5.4 Mexico Big Data Analytics in Agriculture Revenue and Growth Rate (2013-2018)
6 Europe Big Data Analytics in Agriculture Revenue by Countries
6.1 Europe Big Data Analytics in Agriculture Revenue by Countries (2013-2018)
6.2 Germany Big Data Analytics in Agriculture Revenue and Growth Rate (2013-2018)
6.3 UK Big Data Analytics in Agriculture Revenue and Growth Rate (2013-2018)
6.4 France Big Data Analytics in Agriculture Revenue and Growth Rate (2013-2018)
6.5 Russia Big Data Analytics in Agriculture Revenue and Growth Rate (2013-2018)
6.6 Italy Big Data Analytics in Agriculture Revenue and Growth Rate (2013-2018)
7 Asia-Pacific Big Data Analytics in Agriculture Revenue by Countries
7.1 Asia-Pacific Big Data Analytics in Agriculture Revenue by Countries (2013-2018)
7.2 China Big Data Analytics in Agriculture Revenue and Growth Rate (2013-2018)
7.3 Japan Big Data Analytics in Agriculture Revenue and Growth Rate (2013-2018)
7.4 Korea Big Data Analytics in Agriculture Revenue and Growth Rate (2013-2018)
7.5 India Big Data Analytics in Agriculture Revenue and Growth Rate (2013-2018)
7.6 Southeast Asia Big Data Analytics in Agriculture Revenue and Growth Rate (2013-2018)
8 South America Big Data Analytics in Agriculture Revenue by Countries
8.1 South America Big Data Analytics in Agriculture Revenue by Countries (2013-2018)
8.2 Brazil Big Data Analytics in Agriculture Revenue and Growth Rate (2013-2018)
8.3 Argentina Big Data Analytics in Agriculture Revenue and Growth Rate (2013-2018)
8.4 Colombia Big Data Analytics in Agriculture Revenue and Growth Rate (2013-2018)
9 Middle East and Africa Revenue Big Data Analytics in Agriculture by Countries
9.1 Middle East and Africa Big Data Analytics in Agriculture Revenue by Countries (2013-2018)
9.2 Saudi Arabia Big Data Analytics in Agriculture Revenue and Growth Rate (2013-2018)
9.3 UAE Big Data Analytics in Agriculture Revenue and Growth Rate (2013-2018)
9.4 Egypt Big Data Analytics in Agriculture Revenue and Growth Rate (2013-2018)
9.5 Nigeria Big Data Analytics in Agriculture Revenue and Growth Rate (2013-2018)
9.6 South Africa Big Data Analytics in Agriculture Revenue and Growth Rate (2013-2018)
10 Global Big Data Analytics in Agriculture Market Segment by Type
10.1 Global Big Data Analytics in Agriculture Revenue and Market Share by Type (2013-2018)
10.2 Global Big Data Analytics in Agriculture Market Forecast by Type (2018-2023)
10.3 Capturing Data Revenue Growth Rate (2013-2023)
10.4 Storing Data Revenue Growth Rate (2013-2023)
10.5 Sharing Data Revenue Growth Rate (2013-2023)
10.6 Analyzing Data Revenue Growth Rate (2013-2023)
10.7 Others Revenue Growth Rate (2013-2023)
11 Global Big Data Analytics in Agriculture Market Segment by Application
11.1 Global Big Data Analytics in Agriculture Revenue Market Share by Application (2013-2018)
11.2 Big Data Analytics in Agriculture Market Forecast by Application (2018-2023)
11.3 Chemical Revenue Growth (2013-2018)
11.4 Weather Revenue Growth (2013-2018)
11.5 Financial Revenue Growth (2013-2018)
11.6 Crop Production Revenue Growth (2013-2018)
11.7 Farm Equipment Revenue Growth (2013-2018)
12 Global Big Data Analytics in Agriculture Market Size Forecast (2018-2023)
12.1 Global Big Data Analytics in Agriculture Market Size Forecast (2018-2023)
12.2 Global Big Data Analytics in Agriculture Market Forecast by Regions (2018-2023)
12.3 North America Big Data Analytics in Agriculture Revenue Market Forecast (2018-2023)
12.4 Europe Big Data Analytics in Agriculture Revenue Market Forecast (2018-2023)
12.5 Asia-Pacific Big Data Analytics in Agriculture Revenue Market Forecast (2018-2023)
12.6 South America Big Data Analytics in Agriculture Revenue Market Forecast (2018-2023)
12.7 Middle East and Africa Big Data Analytics in Agriculture Revenue Market Forecast (2018-2023)
13 Research Findings and Conclusion
14 Appendix
14.1 Methodology
14.2 Data Source
List of Tables and Figures
Figure Big Data Analytics in Agriculture Picture
Table Product Specifications of Big Data Analytics in Agriculture
Table Global Big Data Analytics in Agriculture and Revenu