Cover Image
市場調查報告書

通訊支援應用程式·內容·貿易市場預測:WebRTC·通訊業者的API·行動應用程式 (2015-2020年)

Communication Enabled Applications, Content, and Commerce: WebRTC, Telecom APIs, and Mobile Apps 2015 - 2020

出版商 Mind Commerce 商品編碼 345954
出版日期 內容資訊 英文 455 Pages
商品交期: 最快1-2個工作天內
價格
Back to Top
通訊支援應用程式·內容·貿易市場預測:WebRTC·通訊業者的API·行動應用程式 (2015-2020年) Communication Enabled Applications, Content, and Commerce: WebRTC, Telecom APIs, and Mobile Apps 2015 - 2020
出版日期: 2015年12月02日 內容資訊: 英文 455 Pages
簡介

本報告提供WebRTC,通訊業者的API,行動應用程式的匯流趨勢相關之總括性調查,提供您技術及解決方案概要,特徵,利用案例,價值鏈,競爭·合作關係,各公司的策略及各種配合措施,全球及各地區的市場成長預測,市場成長的各種影響因素分析,彙整未來展望,市場機會,相關經營者的建議等資料。

網站即時通訊:全球·地區的WebRTC軟體·應用·服務·解決方案·設備市場預測

第1章 簡介

第2章 WebRTC和WebRTC市場概要

  • 關於WebRTC
  • WebRTC的演進
  • WebRTC解決方案市場
  • WebRTC市場影響因素
  • WebRTC的生態系統/價值鏈

第3章 WebRTC的分類

  • WebRTC的各種技術
    • 本機應用程式 vs WebRTC
    • HTML5
    • 透過WebRTC和4G/LTE的媒體/資料利用的擴張
    • LTE/4G·RCS·WebRTC
    • 電信業者WIFI和WebRTC
    • 雲端通訊和WebRTC
    • 開放原始碼API和WebRTC
  • WebRTC架構
  • WebRTC的功能性
  • WebRTC企業應用
  • WebRTC API
    • SDP
    • ORCA
    • WebRTC安全
    • CHROME
    • FIREFOX
    • 媒體串流 (GetUserData)
    • HOOKFLASH
    • 媒體串流API
    • RTCdata channelAPI
  • 雲端RTC平台

第4章 WebRTC應用案例

  • WebRTC應用的製造工程
  • WebRTC應用
  • WebRTC的利用案例
  • WebRTC的經濟學

第5章 WebRTC解決方案市場的預測

  • 全球市場的有益預測
  • 收益預測:各地區
  • WebRTC收益預測:解決方案·各類服務
  • WebRTC服務區分的收益預測
  • WebRTC收益預測:各產業
  • 各引進模式的收益預測
  • WebRTC收益預測:主要應用各類別
  • 全球WebRTC設備的預測
  • WebRTC設備的預測:各地區
  • 全球WebRTC有效用戶數的預測
  • WebRTC有效用戶數的預測:各地區
  • 透過CSP的全球WebRTC有效用戶數的預測

第6章 通訊業者·CSP所扮演的角色

  • 電信業者整合
  • 非電信業者聯盟
  • 通訊medieta
  • 通訊業者的附加價值服務 (VAS)
  • 新的經營模式與市場機會
  • 通訊業者的API
  • CSP所扮演的角色

第7章 WebRTC供應商環境

  • 整體市場競爭環境
    • 平台供應商
    • 語音解決方案供應商
    • 視訊解決方案供應商
    • 會議解決方案供應商
    • 通訊WebRTC電信業者
    • 內部部署供應商
    • OTT通訊供應商
    • 散裝SMS供應商
    • 學習·開發供應商
  • ALCATEL LUCENT
  • AT&T
  • AVAYA
  • CAFEX
  • CISCO SYSTEMS
  • DIALOGIC
  • ERICSSON
  • GENBAND
  • GOOGLE
  • HUAWEI TECHNOLOGIES
  • IBM CORPORATION
  • ORACLE
  • PLIVO
  • QUOBIS
  • SONUS
  • TEMASYS
  • TOKBOX TELEFONICA
  • TWILIO

第8章 WebRTC的未來性

  • 超過語音/視訊·瀏覽器:WebRTC和CDN
  • 混合P2P·伺服器型CDN
  • 新的WebRTC課題與市場機會
  • WebRTC實行狀況
  • 機器學習·5G的WebRTC應用

第9章 建議

通訊業者的API市場:策略·生態系統·經營者·市場預測

第1章 簡介

第2章 通訊業者的API:概要

  • 網路API定義
  • 通訊API的電信業者的引進理由
  • 通訊業者的API類別
    • 網站即時通訊 (WebRTC)
    • SMS·RCS-E
    • 存在感
    • MMS
    • 地理定位
    • 付款
    • 語音/說話者
    • 語音控制
    • 多媒體語音控制
    • M2M
    • SDM/ID管理
    • 用戶簡介
    • QoS
    • ID/SSO
    • 內容傳送
    • 託管UC
    • 名錄
    • 號碼供應
    • USSD
    • 非數位商品的帳務(計費)
    • 廣告
    • 合作
    • IVR/語音商店
  • 通訊業者的API經營模式
  • 市場區隔
  • 競爭上的課題
  • 利用API的應用的比例
  • 通訊業者的API收益可能性
  • 通訊業者的API利用:各產品部門
  • 通訊業者的API價值鏈
  • 各種API交易的成本
  • API交易的音量

第3章 API聚合

  • API整合業者所扮演的角色
  • 整合業者的API利用總成本
  • 整合業者的API利用:各類別

第4章 企業·通訊業者的API市場

  • DaaS
  • API市場廠商
  • 新類型的應用市場之必要性:CAM
    • 通訊支援應用市場 (CAM)
    • CAM市場市場機會與課題

第5章 通訊業者的API支援應用程式的利用案例

  • 通訊支援應用程式的收益化
    • 直接API收益
    • 資料的收益化
    • 降低成本
    • 利用擴大
    • 減少解約
  • 利用案例與課題
    • 安全
    • 互通性

第6章 非通訊業者的API和混搭

  • 非通訊業者的API
    • Twitter
    • Netflix API
    • Google Maps
    • Facebook
    • YouTube
    • Flickr
    • eBay
    • Last.fm
    • Amazon Web Service
    • Bing Maps
    • Yahoo Web Search API
    • Shopping.com
    • Salesforce.com
  • 混搭
    • BBC News on Mobile
    • GenSMS emailSMS
    • Foursquare
    • Amazon SNS and Nexmo
    • Triage.me
    • MappyHealth
    • Lunchflock
    • Mobile Time Tracking
    • Fitsquare
    • GeoSMS
    • FONFinder
    • Pound Docs
    • 140Call
    • Salesforce SMS

第7章 電信業者策略

  • 電信業者的市場地位
    • API投資的擴大
    • SDM
    • 通訊業者的API標準化
    • 電信業者的API意識
  • 全球電信業者API計劃
    • AT&T Mobility
    • Verizon Wireless
    • Vodafone
    • France Telecom
    • Telefonica
  • 電信業者·通訊業者內部的API利用
    • 內部利用的案例
    • 通訊業者內部的API利用案例
  • 電信業者·OTT服務供應商
    • OTT供應商的應用管理
    • 電信業者缺乏為求收益化的API創新技術
  • 電信業者和附加價值服務 (VAS)
    • VAS所扮演的角色和重要性
    • 電信業者的通訊支援VAS的案例
    • 課題與市場機會

第8章 API支援應用程式開發業者的策略

  • 開發業者的重要資產
  • API公佈的成長的刺激
  • career program沿著了的工作
  • 開發業者的愛好:Google vs 電信業者

第9章 通訊API供應商策略

  • 通訊API企業·解決方案
    • Alcatel Lucent
    • UnboundID
    • Twilio
    • LOC-AID
    • Placecast
    • Samsung
    • AT&T Mobility
    • Apigee
    • 2600 Hz
    • Callfire
    • Plivo
    • Tropo (now part of Cisco)
    • Urban Airship
    • Voxeo (now Aspect Software)
    • TeleStax
    • Intel

第10章 市場分析·預測

  • 通訊業者的API收益的預測
  • 通訊業者的API收益的預測:API各類別
    • 通訊API的收益
    • LBS API的收益
    • SDM API的收益
    • 付款API的收益
    • IoT API的收益
    • 其他API的收益
  • 通訊API收益的預測:各地區

第11章 未來API市場成長的技術·市場推進因素

  • SOA
  • SDN
  • 虛擬化
  • IoT

第12章 專家的見解:TeleStax

第13章 專家的見解:Twilio

第14章 專家的見解:Point.io

第15章 專家的見解:Nexmo

第16章 附錄

行動應用程式市場:市場分析·今後發展與市場機會相關評估

第1章 簡介

第2章 行動應用程式概要

第3章 移動平台 (OS)

  • OHA Android (免費&開放原始碼)
  • iOS:Apple
  • BlackBerry 10:RIM
  • Windows Mobile:Microsoft
  • BlackBerry OS:RIM
  • BREW:Qualcomm
  • Symbian OS:Nokia and Accenture
  • Firefox OS:Mozilla Foundation
  • Sailfish OS:Jolla
  • TIZEN:the Linuz Foundation
  • Ubuntu:Canonical Ltd.

第4章 行動編程

  • Widgets
  • 硬體設備Widgets
  • 硬體設備·軟體的演進
    • 硬體設備的演進·終端製造商的市場佔有率
    • 智慧型手機的演進
    • 開發平台
    • HTML5
    • HTML·mini瀏覽器
    • Adobe·Flash·SilverLight
    • JavaScript
    • AJAX
    • 行動開發的未來方向性

第5章 應用開發平台

  • J2ME 平台
  • 平台固有的開發工具
    • iOS SDK
    • Blackberry OS
    • Nokia
    • Motorola
    • LG
    • Samsung
    • HTC
    • Sony Ericsson
    • Android

第6章 主要開發概念

  • 行動開發趨勢
    • 平台
    • 編程技術
    • 行動的最佳化
    • 軟體開發手法
  • 本機編程技術
    • 尺寸的規定
    • 顯示器的規定
    • 輸入·控制
  • 網路連結

第7章 行動應用程式市場

  • 行動廣告
  • 市場摘要

第8章 應用程式商店的案例研究

  • Blackberry (RIM)
  • Apple
  • Android
  • Amazon App Store
  • Windows App Store

第9章 市場規模

  • 行動應用程式的整體市場
  • 行動銷售額的潛在性
  • 智慧型手機銷售額的預測
  • 成長指標
  • 市場分析
  • 應用程式商店市場實際成果

第10章 手機遊戲分析

第11章 穿戴式設備應用程式與未來的應用程式

  • 健身應用程式
  • 穿戴式設備的付款應用程式
  • 未來的穿戴式應用程式

第12章 電信業者·供應商的適合

  • 拓撲學·網路的變更
  • 複數平台的行動OS

第13章 應用發行者分析

  • Gameloft
  • GungHo Online
  • Electronic Arts
  • Zynga
  • DeNA
  • SEGA
  • King

第14章 行動應用程式的未來性

  • 通訊類型應用程式
  • 內建式娛樂&遊戲化應用程式
  • 跨平台應用程式
  • SMAC的影響
目錄

Overview:

During this unprecedented time of change for legacy communication service providers (CSP), network operators must leverage new technologies and solutions to provide next generation applications to meet the challenge from non-traditional CSPs, Over-the-Top (OTT) service providers, and other competitors. Web Real-time Communications (WebRTC) is one tool in the toolkit along with Telecom APIs and integration with carrier and OTT apps for a greatly enhanced and blended service experience.

Mind Commerce sees an emerging Telecom API enabled marketplace that will leverage incumbent CSP data to enhance enterprise services and consumer applications for both third-parties as well as value-added services for carriers themselves. This new marketplace will allow network operators to monetize raw data assets in a Data-as-as-Service (DaaS) model as well as add value to an emerging new class of WebRTC enabled services that will benefit greatly from both carrier data as well as third-party data integration.

This research represents the most comprehensive analysis focused on this convergence of WebRTC, Telecom APIs, and mobile applications. It includes technology evaluation, solution assessment, company analysis and forecasts for each area from 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:

  • WebRTC companies
  • Mobile API providers
  • Mobile VAS companies
  • Mobile device manufacturers
  • Application stores/aggregators
  • Cloud application management companies
  • Mobile network operators and their partners
  • Mobile VAS application development companies

Table of Contents

Web Real-time Communications: WebRTC Software, Applications, Services, Solutions, and Devices Market with Global and Regional Forecast 2015 - 2020

1.0. INTRODUCTION

  • 1.1. EXECUTIVE SUMMARY
  • 1.2. TARGET AUDIENCE
  • 1.3. COMPANIES IN REPORT

2.0. WEBRTC AND WEBRTC MARKET OVERVIEW

  • 2.1. UNDERSTANDING WEBRTC
    • 2.1.1. WEBRTC FEATURES
    • 2.1.2. WEBRTC ADVANTAGES
    • 2.1.3. PEER TO PEER VS. BROWSER TO BROWSER COMMUNICATION
    • 2.1.4. CLICK TO CALL
  • 2.2. EVOLUTION OF WEBRTC
  • 2.3. WEBRTC SOLUTION MARKET
  • 2.4. WEBRTC MARKET FACTORS
    • 2.4.1. GROWTH DRIVERS
    • 2.4.2. MARKET LIMITATIONS
    • 2.4.3. MARKET OPPORTUNITIES
  • 2.5. WEBRTC ECOSYSTEM / VALUE CHAIN
    • 2.5.1. VENDORS
    • 2.5.2. PRODUCTS
    • 2.5.3. SOLUTIONS AND SERVICES
    • 2.5.4. APPLICATIONS
    • 2.5.5. DELIVERY PLATFORMS
    • 2.5.6. END USERS

3.0. WEBRTC TAXONOMY

  • 3.1. WEBRTC TECHNOLOGY
    • 3.1.1. NATIVE APPS VS. WEBRTC
    • 3.1.2. HTML5
    • 3.1.3. WEBRTC AND EXPANSION OF MEDIA/DATA USAGE VIA 4G/LTE
    • 3.1.4. LTE/4G, RCS, AND WEBRTC
    • 3.1.5. CARRIER WIFI AND WEBRTC
    • 3.1.6. CLOUD COMMUNICATION AND WEBRTC
    • 3.1.7. OPEN SOURCE API AND WEBRTC
  • 3.2. WEBRTC ARCHITECTURE
  • 3.3. WEBRTC FUNCTIONALITY
    • 3.3.1. VOICE CALLING 2
    • 3.3.2. REAL TIME MESSAGING
  • 3.4. WEBRTC ENTERPRISE APPLICATION
    • 3.4.1. CUSTOMER FACING ENTERPRISE
    • 3.4.2. IN-HOUSE LICENSES DEVELOPMENT
    • 3.4.3. APPLICATION AND SECURITY
  • 3.5. WEBRTC API
    • 3.5.1. SESSION DESCRIPTION PROTOCOL (SDP)
    • 3.5.2. OPEN REAL-TIME COMMUNICATIONS API (ORCA)
    • 3.5.3. WEBRTC SECURITY
    • 3.5.4. CHROME
    • 3.5.5. FIREFOX
    • 3.5.6. MEDIA STREAM (GETUSERDATA)
    • 3.5.7. HOOKFLASH
    • 3.5.8. MEDIASTREAM API
    • 3.5.9. RTCDATACHANNEL API
  • 3.6. CLOUD RTC PLATFORM

4.0. WEBRTC APPLICATION CASES

  • 4.1. STAGES OF CREATION OF WEBRTC APPLICATION
    • 4.1.1. GETTING STARTED
    • 4.1.2. CREATING VIDEO AUDIO CALLING
    • 4.1.3. USING TEXT
    • 4.1.4. FILE SHARING
  • 4.2. WEBRTC APPLICATIONS
    • 4.2.1. USE OF WEBRTC IN E-LEARNING
    • 4.2.2. WEBRTC IN CORPORATE MEETINGS
    • 4.2.3. WEBRTC AND HTML5 DEVELOPMENTS
    • 4.2.4. WEBRTC FOR THE MOBILE APPLICATIONS
  • 4.3. WEBRTC USE CASES
    • 4.3.1. CUSTOMER CARE
    • 4.3.2. PREMIUM CUSTOMER SERVICES
    • 4.3.3. CUSTOMER WILLINGNESS TO PAY FOR SUCH PREMIUM SERVICES
  • 4.4. ECONOMICS OF WEBRTC

5.0. WEBRTC SOLUTION MARKET FORECAST 2015 - 2020

  • 5.1. GLOBAL MARKET REVENUE FORECAST 2015 - 2020
  • 5.2. REGION WISE REVENUE FORECAST 2015 - 2020
    • 5.2.1. NORTH AMERICA COUNTRY WISE REVENUE FORECAST 2015 - 2020
    • 5.2.2. WESTERN EUROPE COUNTRY WISE REVENUE FORECAST 2015 - 2020
    • 5.2.3. APAC COUNTRY WISE REVENUE FORECAST 2015 - 2020
    • 5.2.4. EASTERN EUROPE COUNTRY WISE REVENUE FORECAST 2015 - 2020
    • 5.2.5. LATIN AMERICA COUNTRY WISE REVENUE FORECAST 2015 - 2020
    • 5.2.6. MIDDLE EAST & AFRICA COUNTRY WISE REVENUE FORECAST 2015 - 2020
  • 5.3. WEBRTC REVENUE FORECAST BY SOLUTION AND SERVICE 2015 - 2020
  • 5.4. WEBRTC SERVICE SEGMENT REVENUE FORECAST 2015 - 2020
  • 5.5. WEBRTC REVENUE FORECAST BY INDUSTRY VERTICAL 2015 - 2020
  • 5.6. DEPLOYMENT MODEL WISE REVENUE FORECAST 2015 - 2020
  • 5.7. WEBRTC REVENUE FORECAST BY MAJOR APPLICATION CATEGORY 2015 - 2020
  • 5.8. GLOBAL WEBRTC DEVICE FORECAST 2015 - 2020
  • 5.9. WEBRTC DEVICE FORECAST BY REGION 2015 - 2020
  • 5.10. GLOBAL WEBRTC ACTIVE USER FORECAST 2015 - 2020
  • 5.11. WEBRTC ACTIVE USER FORECAST BY REGION 2015 - 2020
    • 5.11.1. NORTH AMERICA WEBRTC ACTIVE USER FORECAST 2015 - 2020
    • 5.11.2. WESTERN EUROPE WEBRTC ACTIVE USER FORECAST 2015 - 2020
    • 5.11.3. APAC WEBRTC ACTIVE USER FORECAST 2015 - 2020
    • 5.11.4. EASTERN EUROPE WEBRTC ACTIVE USER FORECAST 2015 - 2020
    • 5.11.5. LATIN AMERICA WEBRTC ACTIVE USER FORECAST 2015 - 2020
    • 5.11.6. MIDDLE EAST & AFRICA WEBRTC ACTIVE USER FORECAST 2015 - 2020
  • 5.12. CSP DRIVEN GLOBAL WEBRTC ACTIVE USER 2015. - 2020

6.0. ROLE OF TELECOM OPERATORS AND CSPS

  • 6.1. CARRIER INTEGRATION
  • 6.2. NON-CARRIER PARTNERSHIPS
  • 6.3. COMMUNICATION MEDIATOR
  • 6.4. TELECOM VALUE-ADDED SERVICES (VAS)
  • 6.5. NEW BUSINESS MODELS AND OPPORTUNITIES
    • 6.5.1. TELEFONICA CASE STUDY
    • 6.5.2. ANOTHER POTENTIAL FOR CSPS: WEBRTC AND TOLL-FREE CALLING
  • 6.6. TELECOM API
  • 6.7. ROLE OF CSPS

7.0. WEBRTC VENDOR LANDSCAPE

  • 7.1. OVERALL COMPETITIVE LANDSCAPE
    • 7.1.1. PLATFORM VENDORS
    • 7.1.2. VOICE SOLUTION VENDORS
    • 7.1.3. VIDEO SOLUTION VENDORS
    • 7.1.4. CONFERENCE SOLUTION PROVIDERS
    • 7.1.5. TELECOM WEBRTC CARRIER
    • 7.1.6. ON-PREMISE VENDORS
    • 7.1.7. OTT COMMUNICATION PROVIDERS
    • 7.1.8. BULK SMS VENDORS
    • 7.1.9. LEARNING AND DEVELOPMENT VENDORS
  • 7.2. ALCATEL LUCENT
    • 7.2.1. OVERVIEW
    • 7.2.2. ANALYSIS
  • 7.3. AT&T
    • 7.3.1. OVERVIEW
    • 7.3.2. ANALYSIS
  • 7.4. AVAYA
    • 7.4.1. OVERVIEW
    • 7.4.2. ANALYSIS
  • 7.5. CAFEX
    • 7.5.1. OVERVIEW
    • 7.5.2. ANALYSIS
  • 7.6. CISCO SYSTEMS
    • 7.6.1. OVERVIEW
    • 7.6.2. ANALYSIS
  • 7.7. DIALOGIC
    • 7.7.1. OVERVIEW
    • 7.7.2. SWOT ANALYSIS
  • 7.8. ERICSSON
    • 7.8.1. OVERVIEW
    • 7.8.2. ANALYSIS
  • 7.9. GENBAND
    • 7.9.1. OVERVIEW
    • 7.9.2. ANALYSIS
  • 7.10. GOOGLE
    • 7.10.1. OVERVIEW
    • 7.10.2. ANALYSIS
  • 7.11. HUAWEI TECHNOLOGIES
    • 7.11.1. OVERVIEW
    • 7.11.2. ANALYSIS
  • 7.12. IBM CORPORATION
    • 7.12.1. OVERVIEW
    • 7.12.2. SWOT ANALYSIS
    • 7.13. MITEL NETWORKS
    • 7.13.1. OVERVIEW
    • 7.13.2. ANALYSIS
  • 7.14. ORACLE
    • 7.14.1. OVERVIEW
    • 7.14.2. ANALYSIS
  • 7.15. PLIVO
    • 7.15.1. OVERVIEW
    • 7.15.2. ANALYSIS
  • 7.16. QUOBIS
    • 7.16.1. OVERVIEW
    • 7.16.2. SWOT ANALYSIS
  • 7.17. SONUS
    • 7.17.1. OVERVIEW
    • 7.17.2. ANALYSIS
  • 7.18. TEMASYS
    • 7.18.1. OVERVIEW
    • 7.18.2. ANALYSIS
  • 7.19. TOKBOX TELEFONICA
    • 7.19.1. OVERVIEW
    • 7.19.2. ANALYSIS
  • 7.20. TWILIO
    • 7.20.1. OVERVIEW
    • 7.20.2. ANALYSIS

8.0. FUTURE OF WEBRTC

  • 8.1. BEYOND VOICE/VIDEO AND BROWSERS: WEBRTC AND CDNS
  • 8.2. HYBRID P2P AND SERVER-BASED CDN
  • 8.3. EMERGING WEBRTC ISSUES AND OPPORTUNITIES
  • 8.4. WEBRTC IMPLEMENTATION STATUS
  • 8.5. WEBRTC APPLICATIONS IN MACHINE LEARNING AND 5G

9.0. RECOMMENDATIONS

  • 9.1. COMMUNICATION SERVICE PROVIDERS
  • 9.2. SOCIAL MEDIA COMPANIES
  • 9.3. CONTENT PROVIDERS
  • 9.4. APPLICATION DEVELOPERS
  • 9.5. COMMERCE PROVIDERS
  • 9.6. INFRASTRUCTURE PROVIDERS
  • 9.7. DEVICE MANUFACTURERS

Figures

  • Figure 1: WebRTC Framework
  • Figure 2: WebRTC Value Chain / Ecosystem (from Vendor to End User)
  • Figure 3: WebRTC Architecture
  • Figure 4: Video Calling using WebRTC Applications
  • Figure 5: WebRTC Global Market Revenue Forecast $ Million 2015 - 2020
  • Figure 6: WebRTC Market Revenue Forecast by Region $ Million 2015 - 2020
  • Figure 7: WebRTC Market Share by Region 2015 - 2020
  • Figure 8: North America Revenue Forecast by Country $ Million 2015 - 2020
  • Figure 9: Western Europe Revenue Forecast by Country $ Million 2015 - 2020
  • Figure 10: APAC Revenue Forecast by Country $ Million 2015 - 2020
  • Figure 11: Eastern Europe Revenue Forecast by Country $ Million 2015 - 2020
  • Figure 12: Latin America Revenue Forecast by Country 2015 - 2020
  • Figure 13: Middle East and Africa Revenue Forecast by Country 2015 - 2020
  • Figure 14: WebRTC Revenue Forecast Solution vs. Service $ Million 2015 - 2020
  • Figure 15: WebRTC Market Share Solution vs. Service Vertical 2015 - 2020
  • Figure 16: WebRTC Revenue Forecast by Service Segment $ Million 2015 - 2020
  • Figure 17: WebRTC Revenue Forecast by Industry Vertical $ Million 2015 - 2020
  • Figure 18: WebRTC Revenue Forecast by Deployment Model $ Million 2015 - 2020
  • Figure 19: WebRTC Revenue Forecast by App Category $ Million 2015 - 2020
  • Figure 20: Global WebRTC Enabled Device Forecast in Billion 2015 - 2020
  • Figure 21: WebRTC Enabled Device Forecast by Region in Billion 2015 - 2020
  • Figure 22: WebRTC Enabled Device Share by Region 2015 - 2020
  • Figure 23: Global WebRTC Active User Forecast in Billion 2015 - 2020
  • Figure 24: WebRTC Active Users by Region in Million 2015 - 2020
  • Figure 25: WebRTC Active Users Share by Region 2015 - 2020
  • Figure 26: WebRTC Active Users North America in Million 2015 - 2020
  • Figure 27: WebRTC Active Users Western Europe in Million 2015 - 2020
  • Figure 28: WebRTC Active Users APAC in Million 2015 - 2020
  • Figure 29: WebRTC Active Users Eastern Europe in Million 2015 - 2020
  • Figure 30: WebRTC Active Users Latin America in Million 2015 - 2020
  • Figure 31: WebRTC Active Users ME & Africa in Million 2015 - 2020
  • Figure 32: Carrier Driven Global WebRTC Active Users Million 2015 - 2020
  • Figure 33: WebRTC and IMS Integration Structure
  • Figure 34: New Business Model in WebRTC Carrier Ecosystem
  • Figure 35: WebRTC Vendor Competitive Landscape
  • Figure 36: Avaya WebRTC Ecosystem Diagram
  • Figure 37: Genband SPiDR Gateway
  • Figure 38: Oracle WebRTC Session Controller
  • Figure 39: Sippo WebRTC Application Controller Diagram
  • Figure 40: WebRTC Progress by Browswer Type
  • Figure 41: WebRTC at the Center of Coms, Apps, Content, and Commerce

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

1. Introduction

  • 1.1. Executive Summary
  • 1.2. Topics Covered
  • 1.3. Key Findings
  • 1.4. Target Audience
  • 1.5. Companies Mentioned

2. Telecom Network API Overview

  • 2.1. Defining Network APIs
  • 2.2. Why Carriers are Adopting Telecom Network APIs
    • 2.2.1. Need for New Revenue Sources
    • 2.2.2. B2B Services and Asymmetric Business Models
  • 2.3. Telecom Network API Categories
    • 2.3.1. Web Real-time Communications (WebRTC)
    • 2.3.2. SMS and RCS-E
    • 2.3.3. Presence
    • 2.3.4. MMS
    • 2.3.5. Location
    • 2.3.6. Payments
    • 2.3.7. Voice/Speech
    • 2.3.8. Voice Control
    • 2.3.9. Multimedia Voice Control
    • 2.3.10. M2M
    • 2.3.11. SDM/Identity Management
    • 2.3.12. Subscriber Profile
    • 2.3.13. QoS
    • 2.3.14. ID/SSO
    • 2.3.15. Content Delivery
    • 2.3.16. Hosted UC
    • 2.3.17. Directory
    • 2.3.18. Number Provisioning
    • 2.3.19. USSD
    • 2.3.20. Billing of Non-Digital Goods
    • 2.3.21. Advertising
    • 2.3.22. Collaboration
    • 2.3.23. IVR/Voice Store
  • 2.4. Telecom Network API Business Models
    • 2.4.1. Two-Sided Business Model
    • 2.4.2. Exposing APIs to Developers
    • 2.4.3. Web Mash-ups
  • 2.5. Segmentation
    • 2.5.1. Users by Segment
    • 2.5.2. Workforce Management
  • 2.6. Competitive Issues
    • 2.6.1. Reduced TCO
    • 2.6.2. Open APIs
    • 2.6.3. Configurability
  • 2.7. Percentage of Applications that use APIs
  • 2.8. Telecom API Revenue Potential
    • 2.8.1. Standalone API Revenue vs. Finished Goods Revenue
    • 2.8.2. Telecom API-enabled Mobile VAS Applications
    • 2.8.3. Carrier Focus on Telecom API's for the Enterprise
  • 2.9. Telecom Network API Usage by Industry Segment
  • 2.10. Telecom Network API Value Chain
    • 2.10.1. Telecom API Value Chain
    • 2.10.2. How the Value Chain Evolve
    • 2.10.3. API Transaction Value Split among Players
  • 2.11. Cost for Different API Transactions
  • 2.12. Volume of API Transactions

3. API Aggregation

  • 3.1. The Role of API Aggregators
  • 3.2. Total Cost Usage for APIs with Aggregators
    • 3.2.1. Start-up Costs
    • 3.2.2. Transaction Costs
    • 3.2.3. Ongoing Maintenance/Support
    • 3.2.4. Professional Services by Intermediaries
  • 3.3. Aggregator API Usage by Category
    • 3.3.1. An LBS Case Study: LOC-AID
    • 3.3.2. Aggregation: Intersection of Two Big Needs
    • 3.3.3. The Case for Other API Categories
    • 3.3.4. Moving Towards New Business Models

4. Enterprise and Telecom API Marketplace

  • 4.1. Data as a Service (DaaS)
    • 4.1.1. Carrier Structured and Unstructured Data
    • 4.1.2. Carrier Data Management in DaaS
    • 4.1.3. Data Federation in the DaaS Ecosystem
  • 4.2. API Market Makers
    • 4.2.1. mashape
    • 4.2.2. Mulesoft
  • 4.3. Need for a New Type of Application Marketplace: CAM
    • 4.3.1. Communications-enabled App Marketplace (CAM)
    • 4.3.2. CAM Market Opportunities and Challenges

5. Telecom API Enabled App Use Cases

  • 5.1. Monetization of Communications-enabled Apps
    • 5.1.1. Direct API Revenue
    • 5.1.2. Data Monetization
    • 5.1.3. Cost Savings
    • 5.1.4. Higher Usage
    • 5.1.5. Churn Reduction
  • 5.2. Use Case Issues
    • 5.2.1. Security
    • 5.2.2. Interoperability

6. Non-Telecom Network APIs and Mash-ups

  • 6.1. Non-Telecom Network APIs
    • 6.1.1. Twitter
    • 6.1.2. Netflix API
    • 6.1.3. Google Maps
    • 6.1.4. Facebook
    • 6.1.5. YouTube
    • 6.1.6. Flickr
    • 6.1.7. eBay
    • 6.1.8. Last.fm
    • 6.1.9. Amazon Web Services
    • 6.1.10. Bing Maps
    • 6.1.11. Yahoo Web Search API
    • 6.1.12. Shopping.com
    • 6.1.13. Salesforce.com
  • 6.2. Mash-ups
    • 6.2.1. BBC News on Mobile
    • 6.2.2. GenSMS emailSMS
    • 6.2.3. Foursquare
    • 6.2.4. Amazon SNS and Nexmo
    • 6.2.5. Triage.me
    • 6.2.6. MappyHealth
    • 6.2.7. Lunchflock
    • 6.2.8. Mobile Time Tracking
    • 6.2.9. Fitsquare
    • 6.2.10. GeoSMS
    • 6.2.11. FONFinder
    • 6.2.12. Pound Docs
    • 6.2.13. 140Call
    • 6.2.14. Salesforce SMS

7. Carrier Strategies

  • 7.1. Carrier Market Strategy and Positioning
    • 7.1.1. Increasing API Investments
    • 7.1.2. The Rise of SDM
    • 7.1.3. Telecom API Standardization
    • 7.1.4. Carrier Attitudes towards APIs: U.S vs. Asia Pacific and Western Europe
  • 7.2. Carrier API Programs Worldwide
    • 7.2.1. AT&T Mobility
    • 7.2.2. Verizon Wireless
    • 7.2.3. Vodafone
    • 7.2.4. France Telecom
    • 7.2.5. Telefonica
  • 7.3. Carriers and Internal Telecom API Usage
    • 7.3.1. The Case for Internal Usage
    • 7.3.2. Internal Telecom API Use Cases
  • 7.4. Carriers and OTT Service Providers
    • 7.4.1. Allowing OTT Providers to Manage Applications
    • 7.4.2. Carriers Lack the Innovative Skills to Capitalize on APIs Alone
  • 7.5. Carriers and Value-added Services (VAS)
    • 7.5.1. The Role and Importance of VAS
    • 7.5.2. The Case for Carrier Communication-enabled VAS
    • 7.5.3. Challenges and Opportunities for Carriers in VAS

8. API enabled App Developer Strategies

  • 8.1. A Critical Asset to Developers
  • 8.2. Stimulating the Growth of API Releases
  • 8.3. Working alongside Carrier Programs
  • 8.4. Developer Preferences: Google vs Carriers

9. Telecom API Vendor Strategies

  • 9.1. Positioning as Enablers in the Value Chain
  • 9.2. Moving Away from a Box/Product Supplier Strategy
  • 9.3. Telecom API Companies and Solutions
    • 9.3.1. Alcatel Lucent
    • 9.3.2. UnboundID
    • 9.3.3. Twilio
    • 9.3.4. LOC-AID
    • 9.3.5. Placecast
    • 9.3.6. Samsung
    • 9.3.7. AT&T Mobility
    • 9.3.8. Apigee
    • 9.3.9. 2600 Hz
    • 9.3.10. Callfire
    • 9.3.11. Plivo
    • 9.3.12. Tropo (now part of Cisco)
    • 9.3.13. Urban Airship
    • 9.3.14. Voxeo (now Aspect Software)
    • 9.3.15. TeleStax
    • 9.3.16. Intel
    • 9.3.17. Competitive Differentiation

10. Market Analysis and Forecasts

  • 10.1. Telecom Network API Revenue 2015 - 2020
  • 10.2. Telecom Network APIs Revenue by API Category 2015 - 2020
    • 10.2.1. Messaging API Revenues
    • 10.2.2. LBS API Revenues
    • 10.2.3. SDM API Revenues
    • 10.2.4. Payment API Revenues
    • 10.2.5. Internet of Things (IoT) API Revenues
    • 10.2.6. Other API Revenues
  • 10.3. Telecom API Revenue by Region 2015 - 2020
    • 10.3.1. Asia Pacific
    • 10.3.2. Eastern Europe
    • 10.3.3. Latin & Central America
    • 10.3.4. Middle East & Africa
    • 10.3.5. North America
    • 10.3.6. Western Europe

11. Technology and Market Drivers for Future API Market Growth

  • 11.1. Service Oriented Architecture (SOA)
  • 11.2. Software Defined Networks (SDN)
  • 11.3. Virtualization
    • 11.3.1. Network Function Virtualization (NFV)
    • 11.3.2. Virtualization beyond Network Functions
  • 11.4. The Internet of Things (IoT)
    • 11.4.1. IoT Definition
    • 11.4.2. IoT Technologies
    • 11.4.3. IoT Applications
    • 11.4.4. IoT Solutions
    • 11.4.5. IoT, DaaS, and APIs (Telecom and Enterprise)

12. Expert Opinion: TeleStax

13. Expert Opinion: Twilio

14. Expert Opinion: Point.io

15. Expert Opinion: Nexmo

16. Appendix

  • 16.1. Research Methodology
  • 16.2. Telecom API Definitions
  • 16.3. More on Telecom APIs and DaaS
    • 16.3.1. Tiered Data Focus
    • 16.3.2. Value-based Pricing
    • 16.3.3. Open Development Environment
    • 16.3.4. Specific Strategies
      • 16.3.4.1. Service Ecosystem and Platforms
      • 16.3.4.2. Bringing to Together Multiple Sources for Mash-ups
      • 16.3.4.3. Developing Value-added Services (VAS) as Proof Points
      • 16.3.4.4. Open Access to all Entities including Competitors
      • 16.3.4.5. Prepare for Big Opportunities with the Internet of Things (IoT)

Figures

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

Mobile Application Marketplace 2015: Market Analysis and Assessment of Future Evolution and Opportunities

1. Introduction

  • 1.1. Executive Summary
  • 1.2. Target Audience
  • 1.3. Companies Mentioned

2. Mobile Applications Overview

  • 2.1. Definition of a Mobile Applications
  • 2.2. What Separates an App From a Bundled Device Feature?
  • 2.3. Examples of Current Mobile Apps

3. Mobile Platforms (Operating Systems)

  • 3.1. OHA Android (free and open source)
  • 3.2. iOS from Apple
  • 3.3. BlackBerry 10 from RIM
  • 3.4. Windows Mobile from Microsoft
  • 3.5. BlackBerry OS from RIM
  • 3.6. BREW from Qualcomm
  • 3.7. Symbian OS from Nokia and Accenture
  • 3.8. Firefox OS from Mozilla Foundation
  • 3.9. Sailfish OS from Jolla
  • 3.10. TIZEN from the Linuz Foundation
  • 3.11. Ubuntu from Canonical Ltd.

4. Mobile Programming

  • 4.1. Widgets
  • 4.2. Hardware Widgets
  • 4.3. Hardware and Software Evolution
    • 4.3.1. Hardware Evolution and Handset Manufacturers Market Share
    • 4.3.2. The Smartphone Revolution
    • 4.3.3. Development Platforms
    • 4.3.4. HTML5
    • 4.3.5. HTML and Mini Browsers
    • 4.3.6. Adobe, Flash, and SilverLight
    • 4.3.7. JavaScript
    • 4.3.8. AJAX
    • 4.3.9. Future Directions of Mobile Development

5. Application Development Platforms

  • 5.1. J2ME Platform
  • 5.2. Platform Specific
    • 5.2.1. iOS SDK
    • 5.2.2. Blackberry OS Development Tools
    • 5.2.3. Nokia Development Tools
    • 5.2.4. Motorola Development Tools
    • 5.2.5. LG Development Tools
    • 5.2.6. Samsung Development Tools
    • 5.2.7. HTC Development Tools
    • 5.2.8. Sony Ericsson Development Tools
    • 5.2.9. Android Development Tools

6. Key Development Concepts

  • 6.1. Mobile Development Trends
    • 6.1.1. Platforms
    • 6.1.2. Programming Techniques
    • 6.1.3. Mobile Optimization
    • 6.1.4. Software Development Methodology
  • 6.2. Native Programming Techniques
    • 6.2.1. Size Constraints
      • 6.2.1.1. Compact Code
      • 6.2.1.2. Compact File Space
    • 6.2.2. Display Constraints
      • 6.2.2.1. Display Sizes and Standards
      • 6.2.2.2. Multiple Displays
    • 6.2.3. Input and Controls
      • 6.2.3.1. Input device types
      • 6.2.3.2. Keyboard
      • 6.2.3.3. Touch Screen
      • 6.2.3.4. Thumb Sticks, Roller Balls, and Direction Pads
      • 6.2.3.5. Environmental Controls
      • 6.2.3.6. Motion and Orientation Sensors
      • 6.2.3.7. Light Sensors
      • 6.2.3.8. Proximity Sensor
      • 6.2.3.9. Gyroscope
      • 6.2.3.10. Accelerometer
      • 6.2.3.11. Peripheral Access
      • 6.2.3.12. GPS Onboard and Off
      • 6.2.3.13. Bluetooth
      • 6.2.3.14. Near Field Communication and S Beam
      • 6.2.3.15. Touch ID
      • 6.2.3.16. Stylus Pen
  • 6.3. Network Access
    • 6.3.1. Connection Persistence
    • 6.3.2. Dial on Demand
    • 6.3.3. Always On
    • 6.3.4. Connection Types and Limitations
    • 6.3.5. Cellular Data
    • 6.3.6. WiFi
    • 6.3.7. Bluetooth
    • 6.3.8. Bluetooth Low Energy (BLE)
    • 6.3.9. Processing
    • 6.3.10. Platforms and Speeds

7. Mobile Application Market

  • 7.1. Mobile Advertising
  • 7.2. Market Summary

8. Application Store Case Studies

  • 8.1. Case Study Blackberry (RIM)
  • 8.2. Case Study Apple
  • 8.3. Case Study Android
  • 8.4. Case Study: Amazon App Store
  • 8.5. Case Study Windows App Store

9. Market Size

  • 9.1. Mobile Application Overall Market
  • 9.2. Mobile Sales Potential
  • 9.3. Forecasted Smart Phone Sales
  • 9.4. Growth Indicators
  • 9.5. Market Analysis
  • 9.6. Application Store Market Performance
    • 9.6.1. Apple App Store
    • 9.6.2. Android Marketplace Analysis

10. Mobile Gaming Analytics

  • 10.1.1. Monetizing Micro Transaction in F2P Model: Creating a Need Approach is Key
  • 10.1.2. Game Balancing Method in Micro Transaction Model
  • 10.1.3. Potential Risk and Solution in F2P Virtual Economy
  • 10.1.4. Pricing Decision Factors: ARPU vs. Average game price vs. Average Gamers
  • 10.1.5. Product Life Cycle of Mobile Game: Adoption of Moore's Lifecycle Model
  • 10.1.6. Game Lifecycle KPI framework
  • 10.1.7. Smartphones vs. Portable Game Players

11. Wearable Devices Apps and Future Apps

  • 11.1. Fitness Apps
  • 11.2. Wearable Devices Payment Apps
  • 11.3. Future Wearables Apps
    • 11.3.1. Military Applications
    • 11.3.2. Industry and Enterprise Applications
    • 11.3.3. A Day in the Life of a Celebrity App
    • 11.3.4. In my Glass

12. Carrier and Vendor Adaptations

  • 12.1. Topology and Network Changes
    • 12.1.1. Policy Changes
    • 12.1.2. Open Network Movements
    • 12.1.3. Billing Plan Changes
    • 12.1.4. Infrastructure Hardware Changes
    • 12.1.5. Location Based Services
    • 12.1.6. WiFi Localized Service Hosting
    • 12.1.7. Handset Manufacturer Changes
    • 12.1.8. Integrating New Handset Features
    • 12.1.9. Evolving the Handset
  • 12.1.10. Multiple Platform Mobile Operating Systems

13. App Publishers Analysis

  • 13.1. Gameloft
  • 13.2. GungHo Online
  • 13.3. Electronic Arts
  • 13.4. Zynga
  • 13.5. DeNA
  • 13.6. SEGA
  • 13.7. King

14. Future of Mobile Applications

  • 14.1. Communication Enabled Apps
    • 14.1.1. Direct API Revenue
    • 14.1.2. Data Monetization
    • 14.1.3. Cost Savings
    • 14.1.4. Higher Usage
    • 14.1.5. Churn Reduction
  • 14.2. Embedded Entertainment and Gamified Apps
    • 14.2.1. Gamification
    • 14.2.2. Wearable Gamification
    • 14.2.3. Mobile Social Gamification
    • 14.2.4. Cloud Gamification
  • 14.3. Cross Platform Apps
    • 14.3.1. Smartphones, Tablets, Wearable Tech and More
    • 14.3.2. Mobile/Wireless Apps Everywhere
  • 14.4. The Impact of SMAC
    • 14.4.1. Social, Mobile, Analytics, and Cloud (SMAC)
    • 14.4.2. SMAC Stack
    • 14.4.3. SMAC and Enterprise Mobile Market and Apps

Tables

  • Table 1: Example of the Most Successful Apps
  • Table 2: Apps Revenues in Apple App and Google Play Stores
  • Table 3: Handsets Manufacturer Market Share
  • Table 4: Mobile/Tablet Browser Share
  • Table 5: Mobile Platform Market Share 2012 - 2020
  • Table 6: Smartphone Market SWOT
  • Table 7: Key Considerable Mobile Gaming Strategies
  • Table 8: Mobile Gaming Business Model Descriptions
  • Table 9 Game Balancing Methods in Virtual Economy
  • Table 10: Potential Risk & Solution in F2P Virtual Economy
  • Table 11: Revenue vs. Costs in Gaming App Business
  • Table 12: Gameloft most Successful Apps
  • Table 13: Gungho Online Entertainment, Inc most Successful Apps
  • Table 14: EA most Successful Apps
  • Table 15: Zynga most Successful Apps
  • Table 16: DeNa Most Successful Apps
  • Table 17: SEGA Most Successful App
  • Table 18: King Applications

Figures

  • Figure 1: iPhone 6 and iPhone 6 Plus
  • Figure 2: iOS 8
  • Figure 3: Windows Phone 8 from Nokia
  • Figure 4: BlackBerry Z10
  • Figure 5: First Mobile Widgets
  • Figure 6: Early Mobile Widgets and Hardware
  • Figure 7: The Rise of the Smartphones Era
  • Figure 8: Classic Web App vs. Ajax Web Application Model
  • Figure 9: Samsung Note Edge
  • Figure 10: Multi-touch Screen
  • Figure 11: Touch ID
  • Figure 12: Blackberry OS 10.1
  • Figure 13: Amazon App Store
  • Figure 14: Apple App Store vs. iTunes Music Sales
  • Figure 15: Mobile Gaming Business Models
  • Figure 16: Monetizing Micro-Transaction in F2P model
  • Figure 17: Adoption of Moore's Lifecycle Model in Mobile Gaming
  • Figure 18: Sequential Steps of Mobile Game Analytic Approach
  • Figure 19: Mobile Game Lifecycle KPI Framework
  • Figure 20: Apple Watch Payments using NFC
  • Figure 21: A Day in a Life of a Celebrity
  • Figure 22: Mobile App Store Framework
Back to Top