Agriculture Global

Big Data Analytics in Agriculture: By Solution (Hardware, Software, Services) Application (Chemical, Weather, Financial, Crop Production, Farm Equipment) End-User (Farmers, Weather Forecast, Agricultural Regulatory Bodies, Agrochemical Industry)-Forecast(2016-2021)

Dec 06 2016 Pages: 162 Language: English Price: $4250

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Summary
Table of contents

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. 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 2021 from $XX billion in 2015, growing at a CAGR of XX% during the forecast period.

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 agriculture market in 2015 due to 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. Asia Pacific is estimated to be the fastest growing region during 2016-2021. China and India holds the major share in the big data in agriculture market in APAC region due to rapid growth in the big data sector and its application on various parameters of the farming industry.

Major companies operating in the big data for agriculture market include:

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)
Pricewaterhouse Coopers (U.K.)
Intersystems Corporation (U.S.)
Koninklijke Philips N.V (The Netherlands)
Deere and Company (U.S.)
Monsanto Company (U.S.).

1. Big Data Analytics in Agriculture Market Overview
2. Big Data Analytics in Agriculture Executive Summary
3. Big Data Analytics in Agriculture Market Landscape
   3.1. Market Share Analysis
   3.2. Comparative Analysis
      3.2.1. Product Benchmarking
      3.2.2. End - User Profiling
      3.2.3. Top 5 Financials Analysis
4. Big Data Analytics in Agriculture Market Forces
   4.1. Market Drivers
   4.2. Market Constraints & Challenges
   4.3. Data Complexity
   4.4. Growing Costs
   4.5. Attractiveness of Big Data Analytics in Agriculture Market
      4.5.1. Power of Suppliers
      4.5.2. Threats from New Entrants
      4.5.3. Power of Buyers
      4.5.4. Threat from Substitute Product
      4.5.5. Degree of Competition
5. Big Data Analytics in Agriculture Market Strategic Analysis
   5.1. Big Data Analytics in Agriculture Market - Value Chain Analysis
   5.2. Pricing Analysis
   5.3. Opportunity Analysis
   5.4. Product Life Cycle
6. Big Data Analytics in Agriculture Market - By Type of Analysis
   6.1. Introduction
   6.2. Retrospective Analytics
   6.3. Predictive Analytics
   6.4. Prescriptive Analytics
7. Big Data Analytics in Agriculture Market - By Solution
   7.1. Introduction
   7.2. Hardware
   7.3. Software
   7.4. Services
      7.4.1. Support Services
      7.4.2. Business Services
      7.4.3. Others
8. Big Data Analytics in Agriculture Market - By Operation on Data
   8.1. Capturing Data
   8.2. Storing Data
   8.3. Sharing Data
   8.4. Analyzing Data
   8.5. Others
9. Big Data Analytics in Agriculture Market - By Application
   9.1. Chemical Analytics
   9.2. Weather Analytics
   9.3. Financial Analytics
   9.4. Administrative Analytics
   9.5. Crop Production Analytics
   9.6. Social Analytics
   9.7. Farm Land/ Equipment Analytics
   9.8. Others
10. Big Data Analytics in Agriculture Market - By End-User
   10.1. Farmers
   10.2. Agriculture Regulatory Bodies
   10.3. Weather Forecast
   10.4. Agrochemical Industry
   10.5. Farm Equipment Industry
   10.6. Others
11. Big Data Analytics in Agriculture Market - By Geography
   11.1. North America
      11.1.1. U.S.
      11.1.2. Canada
      11.1.3. Mexico
   11.2. South America
      11.2.1. Argentina
      11.2.2. Brazil
      11.2.4. Rest of South America
   11.3. Europe
      11.3.1. U.K.
      11.3.2. Germany
      11.3.3. Italy
      11.3.4. France
      11.3.5. Rest of Europe
   11.4. APAC
      11.4.1. China
      11.4.2. India
      11.4.3. Japan
      11.4.4. Australia and New Zealand
      11.4.4. South Korea
      11.4.5. Rest of APAC
   11.5. RoW
      11.5.1. Middle East
      11.5.2. Africa
12. Big Data Analytics in Agriculture Market Entropy
   12.1. New Product Developments
   12.2. M&As, Collaborations, JVs and Partnerships
13. Big Data Analytics in Agriculture - Company Profiles
   13.1. IBM Corporation (U.S.)
   13.2. Oracle Corporation (U.S.)
   13.3. Hewlett Packard Enterprise Development LP (U.S.)
   13.4. International Centre for Tropical Agriculture (Colombia)
   13.5. Intersystems Corporation (U.S.)
   13.6. Ntt Data Corporation (Japan)
   13.7. Koninklijke Philips N.V. (The Netherlands)
   13.8. PricewaterhouseCoopers (U.K.)
   13.9. Verisk Analytics, Inc. (U.S.)
   13.10. Inovalon Holdings, Inc. (U.S.)
*More than 40 Companies are profiled in this Research Report, Complete List available on Request*
"*Financials would be provided on a best efforts basis for private companies"
14. Appendix
   14.1. Abbreviations
   14.2. Sources
   14.3. Research Methodology
   14.4. Bibliography
   14.5. Compilation of Expert Insights
   14.6. Disclaimer