Global Supply chain big data analytics Market - Growth, Trends And Forecasts (2016 - 2021)

  • ID: 3804003
  • Report
  • Region: Global
  • 129 pages
  • Mordor Intelligence
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The big data analytics market is set to grow at a phenomenal CAGR of 45% in the period of 2014-2020. The market is expected to grow from $17 billion to more than $110 billion in the same time period.

Big data basically means lots of data. It refers to the huge data sets that are produced which cannot be processed by one computer alone. Often the data sets runs into gigabytes or terabytes. When we apply logic, statistics and math to the data, we can come up with a conclusion from the data collected. The data being collected from various fields is being increasingly used by companies to improve various aspects of how their company functions. Supply chain of a company is one of the most important parts of a company. Generally, when a company gets accustomed to one type of supply chain which it has been using for some years, it is hard for it to change. This may have been the case in earlier times when big data was not being used by the other companies, but now every vendor must have a flexible supply chain which keeps changing according to the demands of the consumers and the suppliers. Many companies who have tried to remain rigid on their model of supply chain have earned heavy losses. These companies have either changed their model or closed down or acquired by another company. This huge market is growing because of the increased usage by lot of companies.

Companies which heavily depend on supply chain like Wal-Mart, Zara, Google, eBay etc. use big data to regularly improve their supply chain. E-commerce giants like Amazon stores customers’ information and preferences which creates huge amount of data. This helps the site to be personalized according to the user, have the regular items user searches for or get related products when the user is looking at a product. It also helps them to improve their warehouse storage, inventory management and transportation of goods. The market for big data analytics in supply chains is increasing at a fast pace with more and more companies using this to improve their supply chain.

Companies like Google, IBM, HP, Adobe, Accenture, Cloudera, SAP, TCS, Cisco and Intel are the big players in this market.


Huge growth in big data analytics market and the increasing number of companies making software for big data analytics are the possible drivers for the supply chain big data analytics market.


There are few technical challenges associated with this market and also, highly skilled analysts are required to operate on the same, so the demand for this market might be unsteady.

This Report Offers:

Global Supply Chain Big Data Analytics Market Overview with information on drivers and restraints
Supply Chain Big Data Analytics Market Analysis and its applications in the industry
Identification of factors responsible for changing the market scenarios, rising prospective opportunities and identification of key companies which can influence the market on global and regional scale
Extensively researched competitive landscape with profiles of major companies along with their market shares
A comprehensive list of key market players along with the analysis of their current strategic interests and key financial information

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1. Introduction
1.1 Report Guidance
1.2 Markets Covered
1.3 Key Points Noted
2. Executive Summary
3. Market Overview
3.1 Introduction
3.2 Market Definition
3.3 Premium Insights
4. Drivers, Constraints and Opportunities
4.1 Drivers
4.1.1 Huge growth in big data analytics market
4.1.2 Increasing number of companies making softwares for big data analytics
4.2 Constraints
4.2.1 Technical challenges
4.2.2 Highly skilled analysts required to analyse the data
4.3 Opportunities
4.3.1 Increased usage by the E-Commerce websites
4.3.2 More and more companies are starting to use big data analytics
5. Technology Snapshot
5.1 Technology Overview
5.2 On-going Research and Development
5.3 Future of big data analytics in supply chain Industry
6. Global Supply chain Big data Analytics Market, by Region
6.1 Introduction
6.2 North America
6.2.1 Overview
6.2.2 Major Countries United States Overview Market Trends and Opportunities Market Demand to 2020 Canada Overview Market Trends and Opportunities Market Demand to 2020 Others
6.3 Europe
6.3.1 Overview
6.3.2 Major Countries United Kingdom Overview Market Trends and Opportunities Market Demand to 2020 Germany Overview Market Trends and Opportunities Market Demand to 2020 France Overview Market Trends and Opportunities Market Demand to 2020 Others
6.4 Asia-Pacific
6.4.1 Overview
6.4.2 Major Countries China Overview Market Trends and Opportunities Market Demand to 2020 India Overview Market Trends and Opportunities Market Demand to 2020 Australia Overview Market Trends and Opportunities Market Demand to 2020 Others
6.5 Rest of the World
7. Competition
7.1 Overview
7.2 Market Share of Key Companies, by Geography
8. Company Profiles
8.1 Accenture
8.1.1 Overview
8.1.2 Major Products and Services
8.1.3 Financials
8.1.4 Recent Developments
8.2 Adobe Systems Inc.
8.2.1 Overview
8.2.2 Major Products and Services
8.2.3 Financials
8.2.4 Recent Developments
8.3 IBM
8.3.1 Overview
8.3.2 Major Products and Services
8.3.3 Financials
8.3.4 Recent Developments
8.4 Google Inc.
8.4.1 Overview
8.4.2 Major Products and Services
8.4.3 Financials
8.4.4 Recent Developments
8.5 Cloudera Inc.
8.5.1 Overview
8.5.2 Major Products and Services
8.5.3 Financials
8.5.4 Recent Developments
8.6 SAP SE
8.6.1 Overview
8.6.2 Major Products and Services
8.6.3 Financials
8.6.4 Recent Developments
8.7 Tata Consultancy Services
8.7.1 Overview
8.7.2 Major Products and Services
8.7.3 Financials
8.7.4 Recent Developments
8.8 Intel Corp.
8.8.1 Overview
8.8.2 Major Products and Services
8.8.3 Financials
8.8.4 Recent Developments
8.9 Hewlett-Packard Company
8.9.1 Overview
8.9.2 Major Products and Services
8.9.3 Financials
8.9.4 Recent Developments
8.10 Cisco Systems Inc.
8.10.1 Overview
8.10.2 Major Products and Services
8.10.3 Financials
8.10.4 Recent Developments
8.11 Challengers
8.11.1 MapR
8.11.2 MemSQL
8.11.3 Databricks
8.11.4 Platfora
8.11.5 Splunk
8.11.6 Teradata
8.11.7 Premise
8.11.8 Datameer
8.11.9 Hortonworks
8.11.10 MuSigma
9. Competitive Landscape
9.1 Deal Summary
9.1.1 Acquisition
9.1.2 Private Equity
9.1.3 Equity Offerings
9.1.4 Debt Offerings
9.1.5 Partnerships
9.1.6 Asset Transactions
9.2 Recent Developments
9.2.1 New Technology Inventions
9.2.2 New Contract Announcements
10. Appendix
10.1 Sources
10.2 Abbreviations
10.3 Market Definition
10.3.1 Methodology
10.3.2 Coverage
10.3.3 Secondary Research
10.3.4 Primary Research
10.3.5 Expert Panel Validation
10.4 Contact Us
10.5 Disclaimer
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