Communication Service Provider B2B Data Services: Telecom APIs and Data as a Service (DaaS) 2015 - 2020




Published: September 2015   Pages: 362
License Types Available

Purchase Now



Other Ordering Options

Overview:

Global Communication Service Providers (CSP) have reached saturation with respect to customer penetration. Furthermore, core voice and messaging services are becoming increasingly marginalized. As fourth generation (4G) cellular via LTE is optimized globally via LTE Advanced (LTE-A), raw data services are next to realize ever shrinking margins. Recognizing this issue, certain leading CSPs offer telecom data Business-to-Business (B2B) services in a Data as a Service (DaaS) basis to various third party companies such as Over-the-Top (OTT) application providers.

Telecom data is provided over Application Programming Interfaces (API) from various CSP databases including number portability, messaging, location, and subscriber databases to name a few. Enterprise customers, OTT players, and others pay CSPs for data in a DaaS business model. This model is expected to expand globally beyond the current large CSPs to smaller CSPs, many of which are located in developing countries.

Additionally, Mind Commerce anticipates the coming of a Telecom API enabled Application Marketplace. This marketplace will be in many ways similar to those of Google and Apple with the key difference that apps rely upon CSP data delivered via APIs in a DaaS B2B business model. Finally, we see CSPs ultimately realizing that they must embrace the app marketplace to offer their own Value-added Service (VAS) apps, which they will initially target for their most important customers: enterprise.

This research evaluates CSP B2B data services opportunities. The report provides an in-depth assessment of the global Telecom Network API market, including business models, business case, best practices, value chain analysis, operator and vendor strategies, vision for the future of telecom data, and forecasts for 2015 to 2020. The report also evaluates the DaaS ecosystem including technologies, companies, and solutions. The report assesses market opportunities and provides a market outlook and forecast for 2015 to 2020. 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:

  • App Developers
  • API Aggregators
  • Mobile Device Vendors
  • Mobile Network Carriers
  • Data services companies
  • Service Bureau Companies
  • Data infrastructure providers
  • Wireless Infrastructure Vendors
  • Network and application integrators
  • Intermediaries and mediation companies
  • Major enterprise and businesses of all types

Report Benefits:

  • Forecast for DaaS through 2020
  • Understand the DaaS ecosystem
  • Identify key players and strategies
  • Understand DaaS technologies and tools
  • Recognize the importance of data mediation
  • Understand data management best practices
  • Understand the importance of managed systems
  • Identify the relationship between DaaS and cloud
  • Telecom API marketplace forecasts for 2015 – 2020
  • Insights from Telecom API use cases and business cases
  • Understand the Telecom and Enterprise API marketplace
  • Understand key API technologies and inter-dependencies
  • Identify advantages of internal Telecom API usage to carriers
  • Identify the long-term growth drivers for the API marketplace
  • Understand how the API marketplace relates to the Cloud and DaaS
  • Understand the untapped potential for carrier Telecom API enabled VAS

Table of Contents:

Data as a Service (DaaS) Market and Forecasts 2015 – 2020

1 Introduction 8
1.1 Executive Summary 8
1.2 Topics Covered 10
1.3 Key Findings 11
1.4 Target Audience 12
2 DaaS Technologies 13
2.1 Cloud 13
2.2 Database Approaches and Solutions 14
2.2.1 Relational Database Management System (RDBS) 14
2.2.2 NoSQL 15
2.2.3 Hadoop 16
2.2.4 High Performance Computing Cluster (HPCC) 18
2.2.5 OpenStack 19
2.3 DaaS and the XaaS Ecosystem 19
2.4 Open Data Center Alliance 22
2.5 Market Sizing by Horizontal 23
3 DaaS Market 25
3.1 Market Overview 25
3.1.1 Data-as-a-Service: A movement 27
3.1.2 Data Structure 27
3.1.3 Specialization 28
3.1.4 Vendors 30
3.2 Vendor Analysis and Prospects 31
3.2.1 Large Vendors: BDaaS 31
3.2.2 Mid-sized Vendors 35
3.2.3 Small Vendors: DaaS and SaaS 37
3.2.4 Market Size: BDaaS vs. RDBMS 38
3.3 Market Drivers and Constraints 39
3.3.1 Drivers 39
3.3.1.1 Business Intelligence and DaaS Integration 42
3.3.1.2 The Cloud Enabler DaaS 44
3.3.1.3 XaaS Drives DaaS 44
3.3.2 Constraints 44
3.3.2.1 Issues Relating to Data-as-a-Service Integration 47
3.4 Barriers and Challenges to DaaS Adoption 48
3.4.1 Enterprises Reluctance to Change 48
3.4.2 Responsibility of Data Security Externalized 49
3.4.3 Security Concerns are Real 49
3.4.4 Cyber Attacks 50
3.4.5 Unclear Agreements 51
3.4.6 Complexity is a Deterrent 53
3.4.7 Lack of Cloud Interoperability 54
3.4.8 Service Provider Resistance to Audits 55
3.4.9 Viability of Third-party Providers 56
3.4.10 No Move of Systems and Data is without Cost 57
3.4.11 Lack of Integration Features in the Public Cloud results in Reduced Functionality 58
3.5 Market Share and Geographic Influence 58
3.6 Vendors 61
3.6.1 1010data 62
3.6.2 Amazon 62
3.6.3 Clickfox 65
3.6.4 Datameer 66
3.6.5 Google 66
3.6.6 Hewlett-Packard 68
3.6.7 IBM 69
3.6.8 Infosys 70
3.6.9 Microsoft 71
3.6.10 Oracle 71
3.6.11 Rackspace 72
3.6.12 Salesforce 73
3.6.13 Splunk 74
3.6.14 Teradata 74
3.6.15 Tresata 76
4 DaaS Strategies 77
4.1 General Strategies 77
4.1.1 Tiered Data Focus 77
4.1.2 Value-based Pricing 79
4.1.3 Open Development Environment 80
4.2 Specific Strategies 81
4.2.1 Service Ecosystem and Platforms 81
4.2.2 Bringing to Together Multiple Sources for Mash-ups 82
4.2.3 Developing Value-added Services (VAS) as Proof Points 83
4.2.4 Open Access to all Entities including Competitors 83
4.2.5 Prepare for Big Opportunities with the Internet of Things (IoT) 84
4.3 Service Provider Strategies 88
4.3.1 Telecom Network Operators 88
4.3.2 Data Center Providers 96
4.3.3 Managed Service Providers 97
4.4 Infrastructure Provider Strategies 98
4.4.1 Enable New Business Models 98
4.5 Application Developer Strategies 99
5 DaaS based Applications 100
5.1 Business Intelligence 100
5.2 Development Environments 103
5.3 Verification and Authorization 104
5.4 Reporting and Analytics 105
5.5 DaaS in Healthcare 106
5.6 DaaS and Wearable technology 107
5.7 DaaS in the Government Sector 107
5.8 DaaS for Media and Entertainment 108
5.9 DaaS for Telecoms 109
5.10 DaaS for Insurance 110
5.11 DaaS for Utilities and Energy Sector 110
5.12 DaaS for Pharmaceuticals 111
5.13 DaaS for Financial Services 111
6 Market Outlook and Future of DaaS 113
6.1 Recent Security Concerns 113
6.2 Cloud Trends 116
6.2.1 Hybrid Computing 117
6.2.2 Multi-Cloud 118
6.2.3 Cloud Bursting 119
6.3 General Data Trends 121
6.4 Enterprise Leverages own Data and Telecom 123
6.4.1 Web APIs 123
6.4.2 SOA and Enterprise APIs 125
6.4.3 Cloud APIs 127
6.4.4 Telecom APIs 128
6.5 Data Federation Emerges for DaaS 130
7 Conclusions 138
8 Appendix 141
8.1 Structured vs. Unstructured Data 141
8.1.1 Structured Database Services in Telecom 141
8.1.2 Unstructured Database Services in Telecom and Enterprise 143
8.1.3 Emerging Hybrid (Structured/Unstructured) Database Services 143
8.2 Data Architecture and Functionality 146
8.2.1 Data Architecture 146
8.2.1.1 Data Models and Modelling 147
8.2.1.2 DaaS Architecture 148
8.2.2 Data Mart vs. Data Warehouse 150
8.2.3 Data Gateway 151
8.2.4 Data Mediation 151
8.3 Master Data Management (MDM) 155
8.3.1 Understanding MDM 156
8.3.1.1 Transactional vs. Non-transactional Data 157
8.3.1.2 Reference vs. Analytics Data 157
8.3.2 MDM and DaaS 157
8.3.2.1 Data Acquisition and Provisioning 158
8.3.2.2 Data Warehousing and Business Intelligence 159
8.3.2.3 Analytics and Virtualization 160
8.3.2.4 Data Governance 160
8.4 Data Mining 161
8.4.1 Data Capture 163
8.4.1.1 Event Detection 165
8.4.1.2 Capture Methods 165
8.4.2 Data Mining Tools 168

Figures

Figure 2: Cloud Computing Service Model Stack and Principle Consumers 20
Figure 3: DaaS across Horizontal and Vertical Segments 22
Figure 8: Different Data Types and Functions in DaaS 78
Figure 9: Ecosystem and Platform Model 81
Figure 10: Ecosystem and Platform Model 85
Figure 11: DaaS and IoT Mediation for Smartgrid 87
Figure 12: Internet of Things (IoT) and DaaS 88
Figure 13: Telecom API Value Chain for DaaS 95
Figure 14: DaaS, Verification and Authorization 104
Figure 15: Web APIs 124
Figure 16: Services Oriented Architecture 126
Figure 17: Cloud Services, DaaS, and APIs 128
Figure 18: Telecom APIs 129
Figure 19: Federated Data vs. Non-Federated Models 131
Figure 20: Federated Data at Functional Level 133
Figure 21: Federated Data at City Level 134
Figure 22: Federated Data at Global Level 135
Figure 23: Federation Requires Mediation Data 136
Figure 24: Mediation Data Synchronization 137
Figure 25: Hybrid Data in Next Generation Applications 145
Figure 26: Traditional Data Architecture 146
Figure 27: Data Architecture Modeling 147
Figure 28: DaaS Data Architecture 149
Figure 29: Location Data Mediation 152
Figure 30: Data Mediation in IoT 153
Figure 31: Data Mediation for Smartgrids 155
Figure 32: Enterprise Data Types 156
Figure 33: Data Governance 161
Figure 34: Data Flow 163
Figure 35: Processing Streaming Data 164

Telecom API Marketplace: Strategy, Ecosystem, Players and Forecasts 2015 – 2020

1 Introduction 11
1.1 Executive Summary 11
1.2 Topics Covered 12
1.3 Key Findings 14
1.4 Target Audience 15
1.5 Companies Mentioned 16
2 Telecom Network API Overview 18
2.1 Defining Network APIs 18
2.2 Why Carriers are Adopting Telecom Network APIs 19
2.2.1 Need for New Revenue Sources 20
2.2.2 B2B Services and Asymmetric Business Models 21
2.3 Telecom Network API Categories 22
2.3.1 Web Real-time Communications (WebRTC) 22
2.3.2 SMS and RCS-E 24
2.3.3 Presence 24
2.3.4 MMS 24
2.3.5 Location 24
2.3.6 Payments 25
2.3.7 Voice/Speech 25
2.3.8 Voice Control 25
2.3.9 Multimedia Voice Control 25
2.3.10 M2M 25
2.3.11 SDM/Identity Management 25
2.3.12 Subscriber Profile 26
2.3.13 QoS 26
2.3.14 ID/SSO 26
2.3.15 Content Delivery 26
2.3.16 Hosted UC 26
2.3.17 Directory 26
2.3.18 Number Provisioning 26
2.3.19 USSD 27
2.3.20 Billing of Non-Digital Goods 27
2.3.21 Advertising 27
2.3.22 Collaboration 27
2.3.23 IVR/Voice Store 27
2.4 Telecom Network API Business Models 28
2.4.1 Two-Sided Business Model 28
2.4.2 Exposing APIs to Developers 28
2.4.3 Web Mash-ups 29
2.5 Segmentation 29
2.5.1 Users by Segment 29
2.5.2 Workforce Management 29
2.6 Competitive Issues 30
2.6.1 Reduced TCO 30
2.6.2 Open APIs 30
2.6.3 Configurability 30
2.7 Percentage of Applications that use APIs 31
2.8 Telecom API Revenue Potential 32
2.8.1 Standalone API Revenue vs. Finished Goods Revenue 33
2.8.2 Telecom API-enabled Mobile VAS Applications 35
2.8.3 Carrier Focus on Telecom API’s for the Enterprise 38
2.9 Telecom Network API Usage by Industry Segment 44
2.10 Telecom Network API Value Chain 44
2.10.1 Telecom API Value Chain 44
2.10.2 How the Value Chain Evolve 46
2.10.3 API Transaction Value Split among Players 46
2.11 Cost for Different API Transactions 48
2.12 Volume of API Transactions 48
3 API Aggregation 50
3.1 The Role of API Aggregators 50
3.2 Total Cost Usage for APIs with Aggregators 50
3.2.1 Start-up Costs 51
3.2.2 Transaction Costs 51
3.2.3 Ongoing Maintenance/Support 51
3.2.4 Professional Services by Intermediaries 51
3.3 Aggregator API Usage by Category 52
3.3.1 An LBS Case Study: LOC-AID 52
3.3.2 Aggregation: Intersection of Two Big Needs 52
3.3.3 The Case for Other API Categories 53
3.3.4 Moving Towards New Business Models 54
4 Enterprise and Telecom API Marketplace 55
4.1 Data as a Service (DaaS) 55
4.1.1 Carrier Structured and Unstructured Data 58
4.1.2 Carrier Data Management in DaaS 62
4.1.3 Data Federation in the DaaS Ecosystem 62
4.2 API Market Makers 64
4.2.1 mashape 64
4.2.2 Mulesoft 65
4.3 Need for a New Type of Application Marketplace: CAM 66
4.3.1 Communications-enabled App Marketplace (CAM) 66
4.3.2 CAM Market Opportunities and Challenges 67
5 Telecom API Enabled App Use Cases 69
5.1 Monetization of Communications-enabled Apps 69
5.1.1 Direct API Revenue 69
5.1.2 Data Monetization 70
5.1.3 Cost Savings 70
5.1.4 Higher Usage 70
5.1.5 Churn Reduction 70
5.2 Use Case Issues 71
5.2.1 Security 71
5.2.2 Interoperability 71
6 Non-Telecom Network APIs and Mash-ups 73
6.1 Non-Telecom Network APIs 73
6.1.1 Twitter 73
6.1.2 Netflix API 74
6.1.3 Google Maps 74
6.1.4 Facebook 75
6.1.5 YouTube 75
6.1.6 Flickr 76
6.1.7 eBay 76
6.1.8 Last.fm 77
6.1.9 Amazon Web Services 77
6.1.10 Bing Maps 78
6.1.11 Yahoo Web Search API 78
6.1.12 Shopping.com 79
6.1.13 Salesforce.com 80
6.2 Mash-ups 81
6.2.1 BBC News on Mobile 81
6.2.2 GenSMS emailSMS 81
6.2.3 Foursquare 82
6.2.4 Amazon SNS and Nexmo 82
6.2.5 Triage.me 83
6.2.6 MappyHealth 83
6.2.7 Lunchflock 84
6.2.8 Mobile Time Tracking 84
6.2.9 Fitsquare 84
6.2.10 GeoSMS 84
6.2.11 FONFinder 85
6.2.12 Pound Docs 85
6.2.13 140Call 85
6.2.14 Salesforce SMS 85
7 Carrier Strategies 86
7.1 Carrier Market Strategy and Positioning 86
7.1.1 Increasing API Investments 86
7.1.2 The Rise of SDM 86
7.1.3 Telecom API Standardization 87
7.1.4 Carrier Attitudes towards APIs: U.S vs. Asia Pacific and Western Europe 89
7.2 Carrier API Programs Worldwide 89
7.2.1 AT&T Mobility 89
7.2.2 Verizon Wireless 93
7.2.3 Vodafone 95
7.2.4 France Telecom 95
7.2.5 Telefonica 97
7.3 Carriers and Internal Telecom API Usage 99
7.3.1 The Case for Internal Usage 99
7.3.2 Internal Telecom API Use Cases 100
7.4 Carriers and OTT Service Providers 101
7.4.1 Allowing OTT Providers to Manage Applications 101
7.4.2 Carriers Lack the Innovative Skills to Capitalize on APIs Alone 101
7.5 Carriers and Value-added Services (VAS) 102
7.5.1 The Role and Importance of VAS 102
7.5.2 The Case for Carrier Communication-enabled VAS 103
7.5.3 Challenges and Opportunities for Carriers in VAS 104
8 API enabled App Developer Strategies 106
8.1 A Critical Asset to Developers 106
8.2 Stimulating the Growth of API Releases 106
8.3 Working alongside Carrier Programs 106
8.4 Developer Preferences: Google vs Carriers 107
9 Telecom API Vendor Strategies 108
9.1 Positioning as Enablers in the Value Chain 108
9.2 Moving Away from a Box/Product Supplier Strategy 108
9.3 Telecom API Companies and Solutions 109
9.3.1 Alcatel Lucent 109
9.3.2 UnboundID 110
9.3.3 Twilio 112
9.3.4 LOC-AID 113
9.3.5 Placecast 114
9.3.6 Samsung 117
9.3.7 AT&T Mobility 118
9.3.8 Apigee 118
9.3.9 2600 Hz 120
9.3.10 Callfire 120
9.3.11 Plivo 121
9.3.12 Tropo (now part of Cisco) 122
9.3.13 Urban Airship 122
9.3.14 Voxeo (now Aspect Software) 123
9.3.15 TeleStax 123
9.3.16 Intel 124
9.3.17 Competitive Differentiation 126
10 Market Analysis and Forecasts 127
10.1 Telecom Network API Revenue 2015 - 2020 127
10.2 Telecom Network APIs Revenue by API Category 2015 – 2020 128
10.2.1 Messaging API Revenues 129
10.2.2 LBS API Revenues 130
10.2.3 SDM API Revenues 131
10.2.4 Payment API Revenues 132
10.2.5 Internet of Things (IoT) API Revenues 133
10.2.6 Other API Revenues 134
10.3 Telecom API Revenue by Region 2015 - 2020 135
10.3.1 Asia Pacific 136
10.3.2 Eastern Europe 137
10.3.3 Latin & Central America 138
10.3.4 Middle East & Africa 139
10.3.5 North America 140
10.3.6 Western Europe 141
11 Technology and Market Drivers for Future API Market Growth 142
11.1 Service Oriented Architecture (SOA) 142
11.2 Software Defined Networks (SDN) 145
11.3 Virtualization 146
11.3.1 Network Function Virtualization (NFV) 148
11.3.2 Virtualization beyond Network Functions 151
11.4 The Internet of Things (IoT) 152
11.4.1 IoT Definition 152
11.4.2 IoT Technologies 155
11.4.3 IoT Applications 171
11.4.4 IoT Solutions 172
11.4.5 IoT, DaaS, and APIs (Telecom and Enterprise) 172
12 Expert Opinion: TeleStax 178
13 Expert Opinion: Twilio 183
14 Expert Opinion: Point.io 189
15 Expert Opinion: Nexmo 192
16 Appendix 195
16.1 Research Methodology 195
16.2 Telecom API Definitions 197
16.3 More on Telecom APIs and DaaS 201
16.3.1 Tiered Data Focus 202
16.3.2 Value-based Pricing 204
16.3.3 Open Development Environment 205
16.3.4 Specific Strategies 206
16.3.4.1 Service Ecosystem and Platforms 206
16.3.4.2 Bringing to Together Multiple Sources for Mash-ups 207
16.3.4.3 Developing Value-added Services (VAS) as Proof Points 208
16.3.4.4 Open Access to all Entities including Competitors 208
16.3.4.5 Prepare for Big Opportunities with the Internet of Things (IoT) 209

Figures

Figure 1: Wireless Carrier Assets 19
Figure 2: Telecom API: Standalone vs. Finished Services 33
Figure 3: RCS and Telecom API Integration 36
Figure 4: RCS Revenue Forecast 37
Figure 5: Business vs. Consumer Telecom API Focus 40
Figure 6: Enterprise Dashboard 41
Figure 7: Enterprise Dashboard App Example 42
Figure 8: Telecom Network API Value Chain 45
Figure 9: Value Split among Aggregators, Carriers and Enterprise for API Transactions: 2012 - 2019 47
Figure 10: API Transaction Costs (US Cents) 2012 - 2019 48
Figure 11: Volume of API Transactions for a Tier 1 Carrier (Billions per Month): 2015 - 2020 49
Figure 12: Cloud Services and APIs 58
Figure 13: GSMA OneAPI: Benefits to Stakeholders 88
Figure 14: AT&T Wireless API Catalog 90
Figure 15: Verizon Wireless API Program 93
Figure 16: France Telecom (Orange) APIs 96
Figure 17: Telefonica APIs 98
Figure 18: Carrier Internal Use of Telecom APIs 100
Figure 19: UnboundID’s Portfolio of Services 111
Figure 20: Twilio’s Portfolio of Services 112
Figure 21: LOC-AID Exchange Server Architecture 113
Figure 22: Placecast’s ShopAlerts Solution 115
Figure 23: Apigee Portfolio of Services 119
Figure 24: Telecom API Revenue (USD Billions) 2015 - 2020 127
Figure 25: Telecom API Revenue (USD Billions) by API Category 2015 - 2020 128
Figure 26: Messaging APIs Revenue (USD Billions) 2015 - 2020 129
Figure 27: LBS APIs Revenue (USD Billions) 2015 - 2020 130
Figure 28: SDM APIs Revenue (USD Billions) 2015 - 2020 131
Figure 29: Payment APIs Revenue (USD Billions) 2015 - 2020 132
Figure 30: IoT API Revenue (USD Billions) 2015 - 2020 133
Figure 31: APIs Revenue for Other Categories (USD Billions) 2015 - 2020 134
Figure 32: Telecom API Revenue (USD Billions) by Region 2015 - 2020 135
Figure 33: Telecom API Revenue (USD Billions) Asia Pacific 2015 - 2020 136
Figure 34: Telecom API Revenue (USD Billions) Eastern Europe 2015 - 2020 137
Figure 35: Telecom API Revenue (USD Billions) Latin & Central America 2015 - 2020 138
Figure 36: Telecom API Revenue (USD Billions) Middle East & Africa 2015 - 2020 139
Figure 37: Telecom API Revenue (USD Billions) North America 2015 - 2020 140
Figure 38: Telecom API Revenue (USD Billions) Western Europe 2015 - 2020 141
Figure 39: Services Oriented Architecture 143
Figure 40: Growth of Connected Devices 159
Figure 41: IoT and Telecom API Topology 176
Figure 42: Telestax App Store Funnel 180
Figure 43: On-Premise vs. Twilio 188
Figure 44: Point.io and API Ecosystem 189
Figure 45: Different Data Types and Functions in DaaS 203
Figure 46: Ecosystem and Platform Model 206
Figure 47: Telecom API and Internet of Things Mediation 210
Figure 48: DaaS and IoT Mediation for Smartgrid 212


Categories


Back Top Home Sitemap