Big Data Analytics in Agriculture Market - Forecast (2020 - 2025)
Big data in agriculture is becoming a crucial aspect and accounts for nearly 5% of the market share of the entire big data industry. Big data analytics in the agriculture sector, in the near future, is anticipated to turn out to be the fifth-largest industry in terms of market share. This market is projected to reach $XX billion by 2025 from $XX billion in 2020, growing at a CAGR of XX% during the forecast period.
The 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. Big data analytics and processing is the collection of large and intricate data series which are generally difficult to process using common database management tools.
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The big data in agriculture market has been analyzed with respect to different parameters such as operation on data, end-user and type of solutions. This market has been categorized by end-user and application. On the basis of end-users, the market is segmented into farmers, agriculture regulatory bodies, weather forecast, agrochemical and farm equipment industries.
The overall market is also presented from the perspective of different geographic regions and the key countries in each region. North America held the major share in the big data in the agriculture market in 2015 due to the large number of companies applying big data results to predict the perfect conditions for the perfect crop. 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 Asia Pacific is estimated to be the fastest-growing region during 2020-2025. China and India hold the major share in the big data in the agriculture market in the APAC region due to rapid growth in the big data sector and its application on various parameters of the farming industry.
Sample Companies Profiled in this Report are IBM Corporation (U.S.), Oracle Corporation (U.S.), Hewlett Packard Enterprise Development LP (U.S.), International Centre for Tropical Agriculture (Colombia), NTT Data Corporation (Japan), and 10+.
Table of Contents
1. Big Data Analytics in Agriculture Market - Overview
1.1. Definitions and Scope2. Big Data Analytics in Agriculture Market - Executive summary
2.1. Market Revenue, Market Size and Key Trends by Company2.2. Key Trends by type of Application
2.3. Key Trends segmented by Geography
3. Big Data Analytics in Agriculture Market
3.1. Comparative analysis3.1.1. Product Benchmarking - Top 10 companies
3.1.2. Top 5 Financials Analysis
3.1.3. Market Value split by Top 10 companies
3.1.4. Patent Analysis - Top 10 companies
3.1.5. Pricing Analysis
4. Big Data Analytics in Agriculture Market – Startup companies Scenario Premium
4.1. Top 10 startup company Analysis by4.1.1. Investment
4.1.2. Revenue
4.1.3. Market Shares
4.1.4. Market Size and Application Analysis
4.1.5. Venture Capital and Funding Scenario
5. Big Data Analytics in Agriculture Market – Industry Market Entry Scenario Premium
5.1. Regulatory Framework Overview5.2. New Business and Ease of Doing business index
5.3. Case studies of successful ventures
5.4. Customer Analysis – Top 10 companies
6. Big Data Analytics in Agriculture Market Forces
6.1. Drivers6.2. Constraints
6.3. Challenges
6.4. Porters five force model
6.4.1. Bargaining power of suppliers
6.4.2. Bargaining powers of customers
6.4.3. Threat of new entrants
6.4.4. Rivalry among existing players
6.4.5. Threat of substitutes
7. Big Data Analytics in Agriculture Market -Strategic analysis
7.1. Value chain analysis7.2. Opportunities analysis
7.3. Product life cycle
7.4. Suppliers and distributors Market Share
8. Big Data Analytics in Agriculture Market – By Type of Analysis (Market Size -$Million / $Billion)
8.1. Market Size and Market Share Analysis8.2. Application Revenue and Trend Research
8.3. Product Segment Analysis
8.3.1. Introduction
8.3.2. Retrospective Analytics
8.3.3. Predictive Analytics
8.3.4. Prescriptive Analytics
9. Big Data Analytics in Agriculture Market – By Solution (Market Size -$Million / $Billion)
9.1. Introduction9.2. Hardware
9.3. Software
9.4. Services
9.4.1. Support Services
9.4.2. Business Services
9.4.3. Others
10. Big Data Analytics in Agriculture Market – By Operation on Data (Market Size -$Million / $Billion)
10.1. Capturing Data10.2. Storing Data
10.3. Sharing Data
10.4. Analyzing Data
10.5. Others
11. Big Data Analytics in Agriculture Market – By Application (Market Size -$Million / $Billion)
11.1. Chemical Analytics11.2. Weather Analytics
11.3. Financial Analytics
11.4. Administrative Analytics
11.5. Crop Production Analytics
11.6. Social Analytics
11.7. Farm Land/ Equipment Analytics
11.8. Others
12. Big Data Analytics in Agriculture – By End Use Industry(Market Size -$Million / $Billion)
12.1. Segment type Size and Market Share Analysis12.2. Application Revenue and Trends by type of Application
12.3. Application Segment Analysis by Type
12.3.1. Farmers
12.3.2. Agriculture Regulatory Bodies
12.3.3. Weather Forecast
12.3.4. Agrochemical Industry
12.3.5. Farm Equipment Industry
12.3.6. Others
13. Big Data Analytics in Agriculture - By Geography (Market Size -$Million / $Billion)
13.1. Big Data Analytics in Agriculture Market - North America Segment Research13.2. North America Market Research (Million / $Billion)
13.2.1. Segment type Size and Market Size Analysis
13.2.2. Revenue and Trends
13.2.3. Application Revenue and Trends by type of Application
13.2.4. Company Revenue and Product Analysis
13.2.5. North America Product type and Application Market Size
13.2.5.1. U.S.
13.2.5.2. Canada
13.2.5.3. Mexico
13.2.5.4. Rest of North America
13.3. Big Data Analytics in Agriculture - South America Segment Research
13.4. South America Market Research (Market Size -$Million / $Billion)
13.4.1. Segment type Size and Market Size Analysis
13.4.2. Revenue and Trends
13.4.3. Application Revenue and Trends by type of Application
13.4.4. Company Revenue and Product Analysis
13.4.5. South America Product type and Application Market Size
13.4.5.1. Brazil
13.4.5.2. Venezuela
13.4.5.3. Argentina
13.4.5.4. Ecuador
13.4.5.5. Peru
13.4.5.6. Colombia
13.4.5.7. Costa Rica
13.4.5.8. Rest of South America
13.5. Big Data Analytics in Agriculture - Europe Segment Research
13.6. Europe Market Research (Market Size -$Million / $Billion)
13.6.1. Segment type Size and Market Size Analysis
13.6.2. Revenue and Trends
13.6.3. Application Revenue and Trends by type of Application
13.6.4. Company Revenue and Product Analysis
13.6.5. Europe Segment Product type and Application Market Size
13.6.5.1. U.K
13.6.5.2. Germany
13.6.5.3. Italy
13.6.5.4. France
13.6.5.5. Netherlands
13.6.5.6. Belgium
13.6.5.7. Spain
13.6.5.8. Denmark
13.6.5.9. Rest of Europe
13.7. Big Data Analytics in Agriculture – APAC Segment Research
13.8. APAC Market Research (Market Size -$Million / $Billion)
13.8.1. Segment type Size and Market Size Analysis
13.8.2. Revenue and Trends
13.8.3. Application Revenue and Trends by type of Application
13.8.4. Company Revenue and Product Analysis
13.8.5. APAC Segment – Product type and Application Market Size
13.8.5.1. China
13.8.5.2. Australia
13.8.5.3. Japan
13.8.5.4. South Korea
13.8.5.5. India
13.8.5.6. Taiwan
13.8.5.7. Malaysia
14. Big Data Analytics in Agriculture Market - Entropy
14.1. New product launches14.2. M&A's, collaborations, JVs and partnerships
15. Big Data Analytics in Agriculture Market – Industry / Segment Competition landscape Premium
15.1. Market Share Analysis15.1.1. Market Share by Country- Top companies
15.1.2. Market Share by Region- Top 10 companies
15.1.3. Market Share by type of Application – Top 10 companies
15.1.4. Market Share by type of Product / Product category- Top 10 companies
15.1.5. Market Share at global level- Top 10 companies
15.1.6. Best Practises for companies
16. Big Data Analytics in Agriculture Market – Key Company List by Country Premium
17. Big Data Analytics in Agriculture Market Company Analysis
17.1. Market Share, Company Revenue, Products, M&A, Developments17.2. Company 1
17.3. Company 2
17.4. Company 3
17.5. Company 4
17.6. Company 5
17.7. Company 6
17.8. Company 7
17.9. Company 8
17.10. Company 9
17.11. Company 10 and more
"*Financials would be provided on a best efforts basis for private companies"
18. Big Data Analytics in Agriculture Market -Appendix
18.1. Abbreviations18.2. Sources
19. Big Data Analytics in Agriculture Market -Methodology Premium
19.1. Research Methodology19.1.1. Company Expert Interviews
19.1.2. Industry Databases
19.1.3. Associations
19.1.4. Company News
19.1.5. Company Annual Reports
19.1.6. Application Trends
19.1.7. New Products and Product database
19.1.8. Company Transcripts
19.1.9. R&D Trends
19.1.10. Key Opinion Leaders Interviews
19.1.11. Supply and Demand Trends
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