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Carrier B2B Data Revenue: Big Data, Analytics, and Data as a Service (DaaS) 2014 - 2019DUBLIN, 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. (Logo: http://photos.prnewswire.com/prnh/20130307/600769 ) 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). 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
SOURCE Research and Markets |