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Carrier B2B Data Revenue Analysis & Forecasts 2018-2023: Big Data, Analytics, Telecom APIs, and Data as a Service (DaaS) - Evaluates the Technologies, Companies, Strategies, and SolutionsDUBLIN, March 11, 2019 /PRNewswire/ -- The "Carrier B2B Data Revenue: Big Data, Analytics, Telecom APIs, and Data as a Service (DaaS) 2018-2023" report has been added to ResearchAndMarkets.com's offering. This research evaluates telecom data, analytics, APIs, and provides a quantitative and qualitative and assessment of carrier prospects for B2B revenue as a DaaS provider including forecast data and key insights respectively. It provides an in-depth assessment of the global Big Data market, including business case issues/analysis, application use cases, vendor landscape, value chain analysis, and a quantitative assessment of the industry with forecasting from 2018 to 2023. This research also evaluates the technologies, companies, strategies, and solutions for DaaS. 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).
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Key Topics Covered: Data as a Service (DaaS) Market: Enterprise, Industrial, Public and Government DaaS 2018-2023 5.9 Data as a Service for Telecoms 5.10 Data as a Service for Insurance 5.11 Data as a Service for Utilities and Energy Sector 5.12 Data as a Service for Pharmaceuticals 5.13 Data as a Service for Financial Services 6. Market Outlook and Future of Data as a Service 6.1 Security Concerns 6.2 Cloud Trends 1.1 General Data Trends 6.3 Enterprise Leverages own Data and Telecom 6.4 Data Federation Emerges for Data as a Service 7. Data as a Service Market Analysis and Forecasts 2018 - 2023 7.1 DaaS Market by Sector: Business, Public, and Government 7.2 DaaS Market by Source: Machine and Non-Machine Data 7.3 DaaS Market by Data Collection: IoT and Non-IoT Data 7.4 DaaS Markets by Hosting Type: Private, Public, and Hybrid 7.5 DaaS Markets by Pricing Model 7.6 DaaS Market by Service 7.7 DaaS Markets by Industry Vertical 8. Regional DaaS Market Analysis and Forecasts 2018 - 2023 8.1 North America Data as a Service Market 8.2 South America Data as a Service Market 8.3 Western Europe Data as a Service Market 8.4 Central & Eastern European Data as a Service Market 8.5 Asia Pacific Data as a Service Market 8.6 Middle East and Africa Data as a Service Market 9. Conclusions and Recommendations 10. Appendix 10.1 Structured vs. Unstructured Data 10.2 Data Architecture and Functionality 10.3 Data Governance 10.4 Master Data Management 10.5 Data Mining Big Data Market: Business Case, Market Analysis and Forecasts 2018-2023 1 Executive Summary 2 Introduction 2.1 Big Data Overview 2.2 Research Background 3 Big Data Challenges and Opportunities 3.1 Securing Big Data Infrastructure 3.2 Unstructured Data and the Internet of Things 4 Big Data Technology and Business Case 4.1 Big Data Technology 4.2 Emerging Technologies,Tools, and Techniques 4.3 Big Data Roadmap 4.4 Market Drivers 4.5 Market Barriers 5 Key Sectors for Big Data 5.1 Industrial Internet and Machine-to-Machine 5.2 Retail and Hospitality 5.3 Media 5.4 Utilities 5.5 Financial Services 5.6 Healthcare and Pharmaceutical 5.7 Telecommunications 5.8 Government and Homeland Security 5.9 Other Sectors 6 The Big Data Value Chain 6.1 Fragmentation in the Big Data Value 6.2 Data Acquisitioning and Provisioning 6.3 Data Warehousing and Business Intelligence 6.4 Analytics and Visualization 6.5 Actioning and Business Process Management 6.6 Data Governance 7 Big Data Analytics 7.1 The Role and Importance of Big Data Analytics 7.2 Big Data Analytics Processes 7.3 Reactive vs. Proactive Analytics 7.4 Technology and Implementation Approaches 8 Standardization and Regulatory Initiatives 8.1 Cloud Standards Customer Council 8.2 National Institute of Standards and Technology 8.3 OASIS 8.4 Open Data Foundation 8.5 Open Data Center Alliance 8.6 Cloud Security Alliance 8.7 International Telecommunications Union 8.8 International Organization for Standardization 9 Global Markets and Forecasts for Big Data 9.1 Global Big Data Markets 2018 - 2023 9.2 Regional Markets for Big Data 2018 - 2023 9.3 Leading Countries in Big Data 9.4 Big Data Revenue by Product Segment 2018 - 2023 10 Key Big Data Players 10.1 Vendor Assessment Matrix 10.2 1010Data (Advance Communication Corp.) 10.3 Accenture 10.4 Actian Corporation 10.5 Alteryx 10.6 Amazon 10.7 Anova Data 10.8 Apache Software Foundation 10.9 APTEAN (Formerly CDC Software) 10.10 Booz Allen Hamilton 10.11 Bosch Software Innovations: Bosch IoT Suite 10.12 Capgemini 10.13 Cisco Systems 10.14 Cloudera 10.15 CRAY Inc. 10.16 Computer Science Corporation (CSC) 10.17 DataDirect Network 10.18 Dell EMC 10.19 Deloitte 10.20 Facebook 10.21 Fujitsu 10.22 General Electric (GE) 10.23 GoodData Corporation 10.24 Google 10.25 Guavus 10.26 HP Enterprise 10.27 Hitachi Data Systems 10.28 Hortonworks 10.29 IBM 10.30 Informatica 10.31 Intel 10.32 Jasper (Cisco Jasper) 10.33 Juniper Networks 10.34 Longview 10.35 Marklogic 10.36 Microsoft 10.37 Microstrategy 10.38 MongoDB (Formerly 10Gen) 10.39 MU Sigma 10.40 Netapp 10.41 NTT Data 10.42 Open Text (Actuate Corporation) 10.43 Opera Solutions 10.44 Oracle 10.45 Pentaho (Hitachi) 10.46 Qlik Tech 10.47 Quantum 10.48 Rackspace 10.49 Revolution Analytics 10.50 Salesforce 10.51 SAP 10.52 SAS Institute 10.53 Sisense 10.54 Software AG/Terracotta 10.55 Splunk 10.56 Sqrrl 10.57 Supermicro 10.58 Tableau Software 10.59 Tata Consultancy Services 10.60 Teradata 10.61 Think Big Analytics 10.62 TIBCO 10.63 Verint Systems 10.64 VMware (Part of EMC) 10.65 Wipro 10.66 Workday (Platfora) 11 Appendix: Big Data Support of Streaming IoT Data 11.1 Big Data Technology Market Outlook for Streaming IoT Data 11.2 Global Streaming IoT Data Analytics Revenue 11.3 Regional Streaming IoT Data Analytics Revenue 11.4 Streaming IoT Data Analytics Revenue by Country Telecom API Market Outlook and Forecasts 2018-2023 1 Executive Summary 2 Introduction 2.1 About the Report 2.2 Programmable Telecom 2.3 State of the Industry 3 Telecom API Overview 3.1 Role and Importance of Telecom APIs 3.2 Business Drivers for CSPs to Leverage APIs 3.3 Telecom API Categories 3.4 Telecom API Business Models 3.5 Segmentation 3.6 Competitive Issues 3.7 Applications that use APIs 3.8 Telecom API Revenue Potential 3.9 Telecom API Usage by Industry Segment 3.10 Telecom API Value Chain 3.11 API Transaction Cost by Type 3.12 Volume of API Transactions 4 API Aggregation 4.1 Role of API Aggregators 4.2 Total Cost of Operation with API Aggregators 4.3 Aggregator API Usage by Category 5 Telecom API Marketplace 5.1 Data as a Service (DaaS) 5.2 API Marketplace Companies 5.3 Telecom API Ecosystem Vendors 5.4 Telecom Application Development 6 Telecom API Enabled App Use Cases 6.1 Monetization of Communications-enabled Apps 6.2 Use Case Issues 7 Communication Service Provider Telecom API Strategies 7.1 Carrier Market Strategy and Positioning 7.2 Select Network Operator API Programs 7.3 Carrier Focus on Internal Telecom API Usage 7.4 Carriers and OTT Service Providers 7.5 Carriers and Value-added Services 8 API Enabled Application Developer Strategies 8.1 Treating Telecom APIs as a Critical Developer Asset 8.2 Judicious Choice of API Releases 8.3 Working alongside Carrier Programs 8.4 Developer Preferences: OTT Service Providers vs Carriers 9 Telecom API Vendor Strategies 9.1 General Strategies 9.2 Specific Strategies 10 Telecom API Market Analysis and Forecasts 10.1 Global Telecom API Market 2018 - 2023 10.2 Regional Telecom API Market 2018 - 2023 11 Technology and Market Drivers for API Market Growth 11.1 Service Oriented Architecture 11.2 Software Defined Networks 11.3 Virtualization 11.4 Internet of Things 11.5 IoT WANs and Telecom APIs 12 Conclusions and Recommendation 12.1 Overall Telecom API Outlook 13 Appendix 13.1 Telecom API Definitions 13.2 More on Telecom APIs and DaaS 13.3 Monetizing IoT APIs Company Profiles
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