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Global Big Data Market in the Retail Sector 2014-2018 - Product Image

Global Big Data Market in the Retail Sector 2014-2018

  • Published: December 2013
  • Region: Global
  • 60 Pages
  • TechNavio

FEATURED COMPANIES

  • 1010data Inc.
  • Attivio Inc.
  • EMC Corp.
  • Hortonworks Inc.
  • MapR Technologies Inc.
  • Microsoft Corp.
  • MORE

The analysts forecast the Global Big Data market in the Retail sector to grow at a CAGR of 33.14 percent over the period 2013-2018. One of the key factors contributing to this market growth is the exponential growth in data stored in the Retail sector. The Global Big Data market in the Retail sector has also been witnessing that social media remains a major source of data. However, the lack of talented professionals to manage big data could pose a challenge to the growth of this market.

The report, the Global Big Data Market in the Retail Sector 2014-2018, has been prepared based on an in-depth market analysis with inputs from industry experts. The report covers the market in the Americas, and the EMEA and APAC regions; it also covers the Global Big Data market landscape and its growth prospects in the coming years. The report also includes a discussion of the key vendors operating in this market.

Key vendors dominating this space are IBM Corp., Hewlett-Packard Co., Oracle Corp., and Teradata Corp.

Other vendors mentioned in the report are 1010data Inc., Accenture plc, Attivio Inc., Cloudera Inc., EMC Corp., Hortonworks Inc., MapR Technologies Inc., MongoDB Inc., READ MORE >

01. Executive Summary
02. List of Abbreviations
03. Scope of the Report
03.1 Market Overview
03.2 Product Offerings
04. Market Research Methodology
04.1 Market Research Process
04.2 Research Methodology
05. Introduction
06. Market Landscape
06.1 Definition of Big Data
06.2 Big Data in the Retail Sector
06.3 Applications of Big Data in Retail Sector
06.3.1 Supply chain and procurement
06.3.2 Merchandising
06.3.3 Operations
06.3.4 Sales and Marketing
06.3.5 Customer Service
06.4 Market Size and Forecast
06.5 Five Forces Analysis
07. Market Segmentation by Revenue
08. Geographical Segmentation
09. Key Leading Countries
09.1 USA
09.2 UK
09.3 Japan
10. Buying Criteria
11. Market Growth Drivers
12. Drivers and their Impact
13. Market Challenges
14. Impact of Drivers and Challenges
15. Market Trends
16. Trends and their Impact
17. Vendor Landscape
18. Key Vendor Analysis
18.1 IBM Corp.
18.1.1 Business Overview
18.1.2 Business Segmentation
18.1.3 Key Information
18.1.4 SWOT Analysis
18.2 Hewlett-Packard Co.
18.2.1 Business Overview
18.2.2 Business Segmentation
18.2.3 Key Information
18.2.4 SWOT Analysis
18.3 Teradata Corp.
18.3.1 Business Overview
18.3.2 Business Segmentation
18.3.3 Key Information
18.3.4 SWOT Analysis
18.4 Oracle Corp.
18.4.1 Business Overview
18.4.2 Business Segmentation
18.4.3 Key Information
18.4.4 SWOT Analysis
19. Other Reports in this Series

List of Exhibits
Exhibit 1: Market Research Methodology
Exhibit 2: Dimensions of Big Data
Exhibit 3: Constituents of Retail Data Landscape
Exhibit 4: Applications of Big Data across Multiple Functions of Retail Sector
Exhibit 5: Global Big Data Market in Retail Sector 2013-2018 (US$ billion)
Exhibit 6: Global Big Data Market in Retail Sector by Revenue Segmentation 2013
Exhibit 7: Global Big Data Market in Retail Sector by Geographical Segmentation 2013
Exhibit 8: Global Big Data Market in Retail sector by Vendor Ranking 2013
Exhibit 9: Business Segmentation of IBM Corp.
Exhibit 10: Business Segmentation of Hewlett-Packard Co.
Exhibit 11: Business Segmentation of Teradata Corp.
Exhibit 12: Oracle Big Data Solutions
Exhibit 13: Business Segmentation of Oracle Corp.

Commenting on the report, an analyst from the team said: “Over the last few years, social media has been a major data source for retail organizations. This is because organizations can obtain instant feedback about their products and services through blogs and social networking sites. With the rapid increase in the number of social media sites, there is high demand to track user interactions on these sites. Organizations have realized the need to augment their data warehouses with external data sources. Additionally, the increased importance of sentiment analysis and advancements in text analytics are encouraging organizations to include social media in their business process. Social media increases the amount of data in enterprises; therefore, this is a positive trend in the market and it is expected to drive the growth of the Global Big Data market in the Retail sector in the coming years.”

According to the report, one of the major drivers in the market is the exponential growth in data stored by the Retail sector. Due to the presence of a large amount of data, organizations in the Retail sector need big data solutions to automatically track the performance and behavior of the information stored in their IT systems. In addition, they require data analytics to develop innovative business strategies and improve overall operational efficiency. Big data solutions help in identifying the risks and opportunities in organizations, enabling them to plan and perform accordingly.

Further, the report states that one of the major challenges is the lack of skilled workforce to manage big data. The requisite technical skills for handling big data vary from one project to another with respect to data storage and data retrieval. As a result, there is a high possibility of failure in the implementation of big data solutions. Additionally, in spite of a large number of big data projects, companies are not ready to invest in professionals with the required analytical skills for managing big data.

The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market and vendor landscape in addition to a SWOT analysis of the key vendors.

- 1010data Inc.
- Accenture plc
- Attivio Inc.
- Cloudera Inc.
- EMC Corp.
- Hewlett-Packard Co.
- Hortonworks Inc.
- IBM Corp.
- MapR Technologies Inc.
- MarkLogic Inc.
- Microsoft Corp.
- MongoDB Inc.
- Oracle Corp.
- Teradata Corp.

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