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

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Jan 23, 2015, 03:59 ET

DUBLIN, January 23, 2015 /PRNewswire/ --

Dublin - Research and Markets (http://www.researchandmarkets.com/research/s2ppgj/carrier_b2b_data) has announced the addition of the "Carrier B2B Data Revenue: Big Data, Analytics, and Data as a Service (DaaS) 2014 - 2019" report to their offering.

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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. 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 this report 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.

Key Topics Covered:

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
2.1 Defining Big Data
2.2 Key Characteristics of Big Data
2.3 Big Data Technology
2.4 Market Drivers
2.5 Market Barriers

3 Chapter 3: Key Investment Sectors for Big Data
3.1 Industrial Internet & M2M
3.2 Retail & Hospitality
3.3 Media
3.4 Utilities
3.5 Financial Services
3.6 Healthcare & Pharmaceutical
3.7 Telcos
3.8 Government & Homeland Security
3.9 Other Sectors

4 Chapter 4: The Big Data Value Chain
4.1 How Fragmented is the Big Data Value Chain?
4.2 Data Acquisitioning & Provisioning
4.3 Data Warehousing & Business Intelligence
4.4 Analytics & Virtualization
4.5 Actioning & Business Process Management (BPM)
4.6 Data Governance

5 Chapter 5: Big Data in Telco Analytics
5.1 How Big is the Market for Telco Analytics?
5.2 Improving Subscriber Experience
5.3 Building Smarter Networks
5.4 Churn/Risk Reduction and New Revenue Streams
5.5 Telco Analytics Case Studies

6 Chapter 6: Key Players in the Big Data Market
6.1 Vendor Assessment Matrix
6.2 Apache Software Foundation
6.3 Accenture
6.4 Amazon
6.5 APTEAN (Formerly CDC Software)
6.6 Cisco Systems
6.7 Cloudera
6.8 Dell
6.9 EMC
6.10 Facebook
6.11 GoodData Corporation
6.12 Google
6.13 Guavus
6.14 Hitachi Data Systems
6.15 Hortonworks
6.16 HP
6.17 IBM
6.18 Informatica
6.19 Intel
6.20 Jaspersoft
6.21 Microsoft
6.22 MongoDB (Formerly 10Gen)
6.23 MU Sigma
6.24 Netapp
6.25 Opera Solutions
6.26 Oracle
6.27 Pentaho
6.28 Platfora
6.29 Qliktech
6.30 Quantum
6.31 Rackspace
6.32 Revolution Analytics
6.33 Salesforce
6.34 SAP
6.35 SAS Institute
6.36 Sisense
6.37 Software AG/Terracotta
6.38 Splunk
6.39 Sqrrl
6.40 Supermicro
6.41 Tableau Software
6.42 Teradata
6.43 Think Big Analytics
6.44 Tidemark Systems
6.45 VMware (Part of EMC)

7 Chapter 7: Market Analysis
7.1 Big Data Revenue: 2014 - 2019
7.2 Big Data Revenue by Functional Area: 2014 - 2019
7.3 Big Data Revenue by Region 2014 - 2019