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Big data is a huge volume of data that can be structured and unstructured and cannot be directly stored into a database without processing. Big data analytics refers to IT offerings that use various data mining techniques such as predictive modeling and text mining and helps telecom service providers to derive real-time actionable insights and aid in business decision making. Telecom companies are a host to huge volumes of data about customers and their usage details, which is stored in their databases.
With big data analytics, these data can be stored, mined, and analyzed to not only meet the objective of improved bottom line, but also help telecom service providers to enhance customer experience, intelligent network planning, and reduce customer churn. Thus, it helps in innovating the business models and maximizing the profit for telecom service providers. Technavio's analysts forecast the Global Big Data and Analytics Market in Telecom Industry to grow at a CAGR of 28.28 percent over the period 2013-2018.
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 Market Overview
06.2 Market Size and Forecast
06.3 Overview of Telecom Industry
06.4 Four V's of Big Data
06.5 Traditional Analytics versus Big Data Analytics
06.6 Key Application Areas
06.7 Five Forces Analysis
07. Market Segmentation by Type
07.1 Global Big Data and Analytics Market by Type 2013-2018
08. Market Segmentation by Application
08.1 Global Big Data and Analytics Market in Telecom Industry by Application Category 2013-2018
09. Geographical Segmentation
09.1 Global Big Data and Analytics Market in Telecom Industry by Geographical Segmentation 2013-2018
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
17.1 Competitive Scenario
17.1.1 Mergers and Acquisitions
17.2 Other Prominent Vendors
18. Key Vendor Analysis
18.1 Accenture
18.1.1 Key Facts
18.1.2 Business Overview
18.1.3 Business Segmentation by Revenue 2013
18.1.4 Business Segmentation by Revenue 2012 and 2013
18.1.5 Geographical Segmentation by Revenue 2013
18.1.6 Business Strategy
18.1.7 Recent Developments
18.1.8 SWOT Analysis
18.2 Cisco Systems
18.2.1 Key Facts
18.2.2 Business Overview
18.2.3 Business Segmentation by Revenue
18.2.4 Geographical Segmentation by Revenue
18.2.5 Business Strategy
18.2.6 Key Information
18.2.7 SWOT Analysis
18.3 Informatica Corp.
18.3.1 Key Facts
18.3.2 Business Description
18.3.3 Business Offerings
18.3.4 Revenue Segmentation by Business Offerings
18.3.5 Revenue Comparison of Software and Services 2012 and 2013
18.3.6 Revenue Segmentation by Geography
18.3.7 Business Strategy
18.3.8 Key Developments
18.3.9 SWOT Analysis
18.3.10 Strengths
18.3.11 Weakness
18.3.12 Opportunities
18.3.13 Threats
18.4 SAS Institute
18.4.1 Key Facts
18.4.2 Business Overview
18.4.3 SWOT Analysis
19. Other Reports in this Series
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