Big Data and Telecom Analytics Market:
Business Case, Market Analysis & Forecasts 2014 - 2019
Big
Data refers to a massive volume of both structured and unstructured data that
is so large that it is difficult to process using traditional database and
software techniques. While the presence of such datasets is not something new,
the past few years have witnessed immense commercial investments in solutions
that address the processing and analysis of Big Data.
To
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Big
Data opens a vast array of applications and opportunities in multiple vertical
sectors including, but not limited to, retail and hospitality, media, utilities,
financial services, healthcare and pharmaceutical, telecommunications,
government, homeland security, and the emerging industrial Internet vertical.
With
access to vast amounts of data sets, telecommunications companies are emerging
as major proponents of the Big Data movement. Big Data technologies, and in
particular their analytics abilities, offer a multitude of benefits to telecom
companies including improved subscriber experience, building and maintaining
smarter networks, reducing churn, and generation of new revenue streams.
Mind
commerce, thus expects the Big Data driven telecom analytics market to grow at
a CAGR of nearly 50% between 2014 and 2019. By the end of 2019, the market will
eventually account for $5.4 Billion in annual revenue.
This
report provides an in-depth assessment of the global Big Data and telecom
analytics markets, including a study of the business case, application use
cases, vendor landscape, value chain analysis, case studies and a quantitative
assessment of the industry from 2013 to 2019.
Topics
covered in the report include:
- The Business Case for Big Data: An assessment of the business case, growth drivers and barriers for Big Data
- Big Data Technology: A review of the underlying technologies that resolve big data complexities
- Big Data Use Cases: A review of investments sectors and specific use cases for the Big Data market
- The Big Data Value Chain: An analysis of the value chain of Big Data and the major players involved within it
- Big Data in Telco Analytics: How telecom can utilize Big Data technology to reduce churn, optimize their networks, reduce risks and create new revenue streams
- Telco Case Studies: Case Studies of two major wireless telecom capitalizing on Big Data to reduce churn and improve revenue
- Vendor Assessment & Key Player Profiles: An assessment of the vendor landscape for leading players within the Big Data market
- Market Analysis and Forecasts: A global and regional assessment of the market size and forecasts for the Big Data market from 2014 to 2019
Target
Audience:
- Investment Firms
- Media Companies
- Utilities Companies
- Financial Institutions
- Application Developers
- Government Organizations
- Retail & Hospitality Companies
- Other Vertical Industry Players
- Analytics and Data Reporting Companies
- Healthcare Service Providers & Institutions
- Fixed and Mobile Telecom service providers
- Big Data Technology/Solution (Infrastructure, Software, Service) Vendors
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Research Reports @ :
Companies
in Report:
- Accenture
- Adaptive
- Adobe
- Amazon
- Apache Software Foundation
- APTEAN (Formerly CDC Software)
- BoA
- Bristol Myers Squibb
- Brooks Brothers
- Centre for Economics and Business Research
- CIA
- Cisco Systems
- Cloud Security Alliance (CSA)
- Cloudera
- Dell
- EMC
- GoodData Corporation
- Guavus
- Hitachi Data Systems
- Hortonworks
- HP
- IBM
- Informatica
- Intel
- Jaspersoft
- JPMC
- McLaren
- Microsoft
- MongoDB (Formerly 10Gen)
- Morgan Stanley
- MU Sigma
- Netapp
- NSA
- Opera Solutions
- Oracle
- Pentaho
- Platfora
- Qliktech
- Quantum
- Rackspace
- Revolution Analytics
- Salesforce
- SAP
- SAS Institute
- Sisense
- Software AG/Terracotta
- Splunk
- Sqrrl
- Supermicro
- Tableau Software
- Teradata
- Think Big Analytics
- Tidemark Systems
- T-Mobile
- TomTom
- US Xpress
- VMware (Part of EMC)
- Vodafon
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