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Thursday 22 January 2015

Carrier B2B Data Revenue Big Data, Analytics, and Data as a Service (DaaS) 2014 - 2019

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Telecommunications service providers acquire and maintain substantial structured and unstructured (Big) data.  Leading carriers have centralized Subscriber Data Management (SDM) systems, which consolidate and organize data from various sources such as HLR, HSS, and other data repositories.


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In addition, carriers have access to a plethora of data from various "Big Data" sources such as OSS/BSS, system monitoring and performance management systems including Self Organizing Networks (SON).

Big Data and related Analytics solutions opens a vast array of applications and opportunities for telecom carriers to offer services in multiple industry verticals.   Network operators may sell data in a "Data as a Service" (DaaS) model to various market sectors including retail and hospitality, media, utilities, financial services, healthcare and pharmaceutical, telecommunications, government, homeland security, and the emerging industrial Internet vertical.  DaaS is defined as any service offered wherein users can access vendor provided databases or host their own databases on vendor managed systems.  DaaS is expected to grow significantly in the near future due to a few dominant themes including cloud-based infrastructure/services, enterprise data syndication, and the consumer services trend towards Everything as a Service (XaaS).

Carriers have an excellent opportunity to offer Business-to-Business (B2B) services on a DaaS basis, representing a fast growing secondary and revenue stream.  The Big Data driven telecom analytics market alone is expect 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 research provides a quantitative and qualitative and assessment of carrier prospects for B2B revenue as a DaaS provider including forecast data and key insights respectively.    All purchases of Mind Commerce reports includes time with an expert analyst who will help you link key findings in the report to the business issues you're addressing. This needs to be used within three months of purchasing the report.

Target Audience:

Telecom service providers
Wireless device manufacturers
Big Data and Analytics companies
Wireless infrastructure companies
Telecom managed service companies
Cloud infrastructure and XaaS providers
Intermediaries and mediation companies
Report Benefits:

Forecast data for Big Data, Analytics and DaaS to 2019
Understand DaaS infrastructure challenges for operations
Identify carrier Big Data solutions and XaaS service packages
Recognize the role and importance of DaaS as service offering
Understand the importance of managed systems and best practices
Understand Big Data vendor landscape, value chain analysis, case studies

Big Data and Telecom Analytics Market: Business Case, Market Analysis & Forecasts 2014 - 2019

1 Chapter 1: Introduction
1.1 Executive Summary
1.2 Topics Covered
1.3 Key Findings
1.4 Target Audience
1.5 Companies Mentioned

2 Chapter 2: Big Data Technology & Business Case

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