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市場調査レポート

モバイル&オンラインメッセージング

Mobile & Online Messaging

発行 Juniper Research 商品コード 250496
出版日 ページ情報 英文
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モバイル&オンラインメッセージング Mobile & Online Messaging
出版日: 2015年06月09日 ページ情報: 英文
概要

当レポートでは、世界のメッセージング市場の現状と見通しについて調査し、各種メッセージングサービスのバリューチェーンとビジネスモデル、主要事業者のプロファイル、SMS・MMS・IM・Eメール・RCS/RCS-e・ソーシャルメッセージングなどのトラフィックおよび収益の推移と予測、市場への各種影響因子の分析などをまとめ、その結果をお届けいたします。

第1部:市場動向・競合環境

第1章 イントロダクション:モバイルメッセージング環境

  • イントロダクション
    • 背景
    • モバイルメッセージングの発展の経緯
  • 主なサービスタイプ
    • サービスの概要
    • モバイルメッセージングの従来の形態
    • OTT事業者
    • OTTアプリケーションの地域性と拡張性
    • NUVO
    • 消費者のセキュリティへの脅威:対策としての暗号化
    • エンタープライズメッセージング
    • WebRTC + RCSとVoLTEでの将来のアプリケーション
    • RCS・VoLTE技術の欠点

第2章 メッセージングの推進因子・制約

  • メッセージングの推進因子・障壁・動向:概要
  • SMSの送信:'従来の'メッセージング
    • エンタープライズメッセージング
    • SMSの他の市場での生き残り
  • SMSの制約
  • 主な推進因子:RCS・VoLTE
    • MNOの支援
    • 収益の可能性とコスト効率
    • VoLTEのアプリケーション
    • WebRTC vs RCS&VoLTE
    • 最大の障壁:RCS - 開発の年月
  • OTTプロバイダーにとっての推進因子・動向
    • インスタントメッセージング
    • 多様化
    • OTTメッセージングの他の形態
    • SMSとの何らかの統合
    • MNOバンドリング
    • OTTの統合
    • OTT戦略としてのVoIP
  • 主な障壁:OTTと収益化
    • 断片化と協力の欠如
    • A2Pの実行可能性
    • セキュリティ上の課題
    • サマリー

第3章 市場環境

  • メッセージングのバリューチェーン
    • SMS・MMSのバリューチェーン
    • OTTのバリューチェーン
    • NUVOのバリューチェーン
  • メッセージングのビジネスモデル
    • P2Pメッセージング
    • A2Pメッセージング
    • RCS・joynイニシアチブ
    • OTTメッセージング

第4章 関連事業者の分析

  • イントロダクション
  • ベンダーマトリックス
  • メッセージングの有力事業者
  • ベンダープロファイル
    • LINE
    • Snapchat
    • WhatsApp
    • ChatGrape
    • WeChat
    • Viber
    • Infobip
    • SMSGlobal
    • Slack Technologies
    • Telefonica
    • Netsize (Gemalto)
    • BitTorrent

第2部:市場規模・予測

第1章 イントロダクション:モバイルメッセージング

  • イントロダクション
    • 背景
    • モバイルメッセージングの発展の経緯
  • 主なサービスタイプ
    • サービスの概要
    • モバイルメッセージングの従来の形態
    • 送信者/受信者の関係:P2P/A2P
    • OTT事業者
    • OTTアプリケーションの地域性と拡張性
    • NUVO
    • 消費者のセキュリティへの脅威:対策としての暗号化
    • エンタープライズメッセージング
    • WebRTC + RCSとVoLTEでの将来のアプリケーション
    • RCS・VoLTE技術の欠点

第2章 世界のメッセージングの概要

  • イントロダクション
  • デバイスのインストールベース
    • ハンドセット
    • タブレット
    • デスクトップPC・ノートブック
  • 世界のメッセージングのトラフィック
  • 世界のメッセージングの収益

第3章 SMSの予測

  • SMSの予測手法
  • SMSの予測
    • SMSの総トラフィック
    • P2P SMSのトラフィック
    • P2P SMSの収益
    • A2P SMSのトラフィック
    • A2P SMSの収益
    • SMSの総収益

第4章 MMSの予測

  • MMSの予測手法
  • MMSの予測
    • MMSの総トラフィック
    • P2P MMSのトラフィック
    • P2P MMSの収益
    • A2P MMSのトラフィック
    • A2P MMSの収益
    • MMSの総収益

第5章 IE・Eメール・ソーシャルメッセージング・RCS/RCS-eの予測

  • IEの調査手法
  • IEの予測
    • モバイルIMのトラフィック
    • IEの収益
  • Eメールの調査手法
  • Eメールの予測
    • Eメールの予測:デバイスタイプ別
    • Eメールの総トラフィック:地域別
  • ソーシャルメッセージングの調査手法
  • ソーシャルメディアの予測
    • ソーシャルメディアの予測:デバイスタイプ別
    • ソーシャルメッセージングのトラフィック:地域別
  • RCS/RCS-eの予測手法
  • RCS/RCS-eの予測
    • RCS/RCS-eのトラフィック:フォーマット別
    • RCS/RCS-eの総トラフィック:地域別

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目次

Juniper Research is a leading digital media and content strategy expert. For more than a decade we have provided comprehensive coverage of this fast moving space, including the key developments within mobile messaging products and services.

Juniper's expansive Mobile & Online Messaging research provides an assessment of the entire mobile ecosystem and, for the first time, includes online messaging. It gives a comprehensive analysis of the latest developments, including content distribution, new technologies and monetisation strategies. We also provide analysis for over-the-top instant messaging applications, SMS/MMS, social messaging, email services and mobile network operator solutions, such as RCS/RCS-e.

Key Features

  • Evaluates four key platforms:
    • Smartphones
    • Featurephones
    • Tablets
    • Desktop PCs & Notebooks
  • Provides service revenue and traffic forecasts for SMS, MMS and IM.
  • Includes traffic forecasts for RCS/RCS-e, Social Messaging & Email.
  • Delivers insights and strategic recommendations for key stakeholders.
  • Value chain analysis, business models and opportunity assessment.
  • Interviews with leading players, including:
    • Acision
    • BitTorrent
    • ChatGrape
    • Genband
    • GoButler
    • Infobip
    • Netsize
    • Sameroom
    • SAP
    • SMSGlobal
  • Assesses the leading players through a 'Key player capability and capacity assessment', together with a vendor market positioning matrix.
  • Identifies key executives driving the sector in our 'Movers & Shakers' review.

Key Questions

  • 1. What is the size of the market for Mobile and Online Messaging and how is it evolving?
  • 2. What emerging technologies and services are driving the market forward?
  • 3. What are the challenges faced by MNOs with the ever growing influence of OTT messaging services?
  • 4. How can SMS/MMS technologies adapt to meet the threat of OTT messaging services?
  • 5. What strategies can both MNOs and OTT players utilise to see revenues increase?

Companies Referenced

Interviewed: Acsion, BitTorrent, ChatGrape, GENBAND, GoButler, Infobip, Netsize, Sameroom, SAP, Slack, SMSGlobal.

Profiled: BitTorrent, ChatGrape, Infobip, LINE, Netsize, Slack, SMSGlobal, Snapchat, Telefónica, Viber, WeChat, WhatsApp.

Case Studied: Bleep, ChatGrape, ChatON, Cyber Dust, Drop Messages, Facebook, fring, GoButler, Google, joyn, Orange, Quack Messenger, Sameroom, Slack, Snapchat, WhatsApp, Yo Messenger.

Mentioned: AIM/iChat, Alcatel-Lucent, Antik Technology, AOL, App Annie, Apple, Banco Urquijo, Bharti Airtel, BlackBerry, Bleep, BNS Group, Bradesco Bank, Buffalo, Burberry, Buzzfeed, Campfire, China Mobile, China Unicom, Claro Perú, Coca-Cola, Cogobuy, CyberSource, Deutsche Telekom, Disney, D-Link, DTS Digital, eBay, Electronic Frontier Foundations, E-Plus, ESA Flash Components, Expedia, Fetion, Gadu-Gadu, Gemalto, Gibson Security, Google, GSMA, HBO, HeyWire, HTCm Hutchison Whampoa, IBM, ICQ, iMessenger, IngDan, Internap, I-O Data, Jabber, Jibe Mobile, Kakao Talk, Kato, Kickstarter, Kik, KPN, LG, M2, Marvell Semiconductors, Mediaset España Comunicación, Mention Mobile, Microsoft, Mig33, MobeyForum, Mobile Marketing Association, Movistar, NAVER, Netgear, Nimbuzz, O2, Ofcom, Opera Software, Pinger, QQ, Rakuten, Rasello, RenRen, Samsung, sba-research, Sina Weibo, SK Telecom, Skype, SMSGlobal, Sony, Summit Tech, Tango, TechCrunch, Telenor, TeliaSonera, Telstra, Tencent, textPlus, T-Mobile, Torrent Freak, Twilio, Twitter, Vimpelcom, Virgin, Vivo, Vodafone, Web Burgess, Yahoo, Zalo, Zynga.

Data & Interactive Forecast

Juniper Research's highly granular interactive Excels (IFxls) enable clients to manipulate Juniper's forecast data and charts to test their own assumptions by using the interactive scenario tool, and compare select markets and sectors side by side in customised charts and tables. IFxls greatly increase a clients' ability to both understand a particular market and to integrate their own views into the model. The forecast suite includes:

  • Service take-up and user numbers.
  • SMS forecasts across smartphones & featurephones.
  • MMS forecasts across smartphone & featurephones.
  • Instant Messaging forecasts.
  • Email & social messaging forecasts.
  • RCS/RCS-e traffic forecasts.
  • Country level splits where mobile devices are calculated: Brazil, Canada, China, France, Germany, India, Italy, Japan, Spain, South Korea, UK, US.
  • Country level splits where Desktop PCs & Notebooks are included: Canada, Germany, UK, US.
  • All forecasts are calculated across 8 Key Regions.
  • Interactive Scenario tool allowing the user the ability to manipulate Juniper's data for 23 different metrics.

Access to the full set of forecast data of more than 217 tables and over 30,000 data points.

Table of Contents

1. Market Trends & Competitive Landscape

1. Introducing the Mobile Messaging Landscape

  • 1.1 Introduction
    • 1.1.1 Background
      • i. Mobile Messaging
    • 1.1.2 History of Mobile Messaging
      • Figure 1.1: The Evolution of the Mobile Messaging Market (1973-Present).
      • i. Online Messaging
  • 1.2 Key Service Types
    • 1.2.1 Outline of Services
      • Figure 1.2: Mobile Messaging Overload
    • 1.2.2 Traditional Forms of Mobile Messaging
      • i. SMS
      • Figure 1.3: UK SMS & Mobile Subscription Data
      • ii. MMS
      • Introducing the Mobile Messaging Landscape
      • Figure 1.4: Methods of Communication Other Than Traditional Voice Telephony (Proportion of Respondents)
    • 1.2.3 Sender/Recipient Relationships: P2P/A2P
      • i. P2P
      • ii. A2P
    • 1.2.4 OTT Players
    • 1.2.5 Regionality and the Expansion of OTT applications
      • i. North America
      • ii. South America
      • iii. Europe
      • iv. Far East and China
      • v. Middle East and Africa
      • vi. Asia Pacific
    • 1.2.6 NUVOs
      • i. Case Study: Google Voice
    • 1.2.7 Consumer Security Fears - Encryption as a Remedy.
      • i. Hacking on a Grander Scale
      • ii. Case Study: Slack
      • Figure 1.5: Comparison Between Traditional P2P Messaging Delivery and
      • iii. Case Study: Bleep
      • iv. Case Study: Cyber Dust
    • 1.2.8 Enterprise Messaging
    • 1.2.9 WebRTC + RCS and Future Applications with VoLTE
      • i. IMS and Standardisation
      • ii. WebRTC
      • Figure 1.6: MWC 2015 Connected City Demonstration
      • iii. Case Study: Contact Centre by Orange, Powered by joyn
      • iv. RCS
      • v. VoLTE
    • 1.2.10 Pitfalls of RCS and VoLTE Technology
      • i. RCS - Years in Development
      • ii. Viable VoLTE
      • Table 1.7: Roll-out of VoLTE and RCS

2. Messaging Drivers and Constraints

  • 2.1 Overview of Messaging Drivers, Hurdles and Trends.
    • Figure 2.1: Status of the Messaging Market
  • 2.2 Sending out an SMS: 'Traditional' Messaging Lives on ....in Another Form
    • 2.2.1 Enterprise messaging
      • i. Case Study:
    • 2.2.2 SMS Survival in Other Markets
  • 2.3 SMS Constraints
    • i. Case Study: ChatON
    • Figure 2.2: ChatON Download Rankings 12 th May 2014-11 th May 2015)
    • ii. Slow SMS Growth Still Exists
  • 2.4 Key Drivers: RCS and VoLTE
    • 2.4.1 MNO Backing
    • 2.4.2 Revenue Potential and Cost Effectiveness
    • 2.4.3 VoLTE Applications
    • 2.4.4 WebRTC vs RCS and VoLTE
      • Figure 2.3: Comparison of RTC, RCS and VoLTE
    • 2.4.5 The Biggest Hurdle: RCS - Years in Development
      • Figure 2.4: Commercially Launched RCS Native Devices
  • 2.5 Drivers and Trends for OTT Providers.
    • 2.5.1 Instant Messaging.
    • 2.5.2 Diversification
      • i. Case Study:
    • 2.5.3 Other Forms OTT Messaging
      • i. Picture Messaging
      • ii. Encryption Services
      • iii. Social Media Chat
      • iv. Case Study: ChatGrape
      • v. Business Chat
      • vi. Location Based Messaging
      • vii. Case Study: Drop Messages
    • 2.5.4 Some Integration with SMS
    • 2.5.5 MNO Bundling
    • 2.5.6 OTT Consolidation
    • 2.5.7 VoIP as an OTT strategy
      • i. The Introduction of OTT VoIP Services
      • Figure 2.5: Traditional Method of VoIP Delivery
      • Figure 2.6: Percentage of UK Consumers who use VoIP services 2009-2014
      • Figure 2.7: VoIP Usage of UK Consumers by device 2014
  • 2.6 Key Hurdles: OTT and Monetisation
    • 2.6.1 Fragmentation and a Lack of Co-operation
      • i. Case Study: Sameroom
    • 2.6.2 A2P Viability, or a Lack Thereof
      • i. Case Study: Snapchat
    • 2.6.3 Security Issues
      • i. Case Study: Yo Messenger
    • 2.6.4 Summary -

3. Market Landscape

  • 3.1 Messaging Value Chains
    • 3.1.1 SMS and MMS Value Chains
      • i. P2P Messaging
      • Figure 3.1: The P2P SMS/MMS Messaging Value Chain
      • ii. A2P Messaging
      • Figure 3.2: The A2P Messaging Value Chain
    • 3.1.2 OTT Value Chain
      • i. Instant Messaging
      • Figure 3.3: The Instant Messaging Value Chain
    • 3.1.3 NUVO Value Chain
      • i. NUVO Messaging
      • Figure 3.4: The NUVO Value Chain
  • 3.2 Messaging Business Models
    • 3.2.1 P2P Messaging.
      • i. Flatlining Revenues, Rising Capex, Rising Opex
      • Figure & Table 3.5: Base Line Analysis of Global Mobile Subscriber Growth, ARPU & Operator-Billed Revenues 2013-2019
      • ii. Case Study: GoButler
    • 3.2.2 A2P Messaging
      • i. Standard A2P Messaging
      • ii. Premium A2P
      • iii. Case Study: Text Voting
      • Figure 3.7: Example of MO (Left) and MT (Right) messaging
    • 3.2.3 RCS and the joyn Initiative
      • Figure 3.6:
      • Figure 3.8: The RCS Business Model
    • 3.2.4 OTT Messaging
      • i. OTT Monetisation Strategies
      • Figure 3.9: LINE Stickers for Purchase
      • ii. Case Study: Quack! Messenger
      • iv. Case Study: WhatsApp Monetisation
      • iii.

4. Stakeholder Analysis

  • 4.1 Introduction
  • 4.2 Vendor Matrix
    • Table 4.1: Vendor Capability Assessment Criteria4.2.1 Limitations and Interpretation
    • 4.2.2 Positioning Matrix Results
      • Table 4.2: Mobile Messaging Vendor Scoring Matrix
      • Figure 4.3: Mobile Messaging Vendor Positioning Matrix
    • 4.2.3 Vendor Groupings
      • i. Summary
      • ii. On Track Vendors
      • iii. Vendors Exceeding Expectations
      • iv. Vendors with Further Potential.
    • 4.2.4 Conclusion
  • 4.3 Messaging Movers & Shakers
  • 4.4 Vendor Profiles
    • 4.4.1 LINE
      • i. Corporate Profile:
      • Figure 4.4: NAVER Revenues ($ bn)
      • ii. Geographic Spread:
      • Figure 4.5: LINE Business Earnings (Quarterly)
      • iii. Key Clients & Strategic Partnerships:
      • iv. Products and Services:
    • 4.4.2 Snapchat
      • i. Corporate Profile:
      • ii. Geographic Spread:
      • iii. Key Clients and Strategic Partnerships:
      • iv. Products and Services:
    • 4.4.3 WhatsApp
      • i. Corporate Profile:
      • Figure 4.6: Facebook Revenues ($ bn)
      • ii. Geographic Spread:
      • iii. Key Clients and Strategic Partnerships:
      • iv. Products and Services:
      • and Strategic Opportunities:
    • 4.4.4 ChatGrape
      • i. Corporate Profile:
      • ii. Geographic Spread:
      • iii. Key Clients and Strategic Partnerships:
      • iv. Products and Services:
    • 4.4.5 WeChat
      • i. Corporate Profile:
      • Figure 4.7: Tencent Revenues (RMB bn)
      • ii. Geographic Spread:
      • iii. Key Clients and Strategic Partnerships:
      • iv. Products and Services:
    • 4.4.6 Viber
      • i. Corporate Profile:
      • Figure 4.8: Rakuten Revenues (Yen bn)
      • iii. Key Clients and Strategic Partnerships:
      • iv. Products and Services:
    • 4.4.7 Infobip
      • i. Corporate Profile:
      • ii. Geographic Spread:
      • iii. Key Clients and Strategic Partnerships:
      • iv. Products and Services:
    • 4.4.8 SMSGlobal
      • i. Corporate Profile:
      • ii. Geographic Spread:
      • iii. Key Clients and Strategic Partnerships:
      • iv. Products and Services:
    • 4.4.9 Slack Technologies
      • i. Corporate Profile:
      • ii. Geographic Spread:
      • iii. Key Clients and Strategic Partnerships:
      • iv. Products and Services:
    • 4.4.10 Telefonica
      • i. Corporate Profile:
      • Figure 4.9: Telefonica Revenues ($ bn)
      • ii. Geographic Spread:
      • iii. Key Clients and Strategic Partnerships:
      • iv. Products and Services:
    • 4.4.11 Netsize (Gemalto)
      • i. Corporate Profile:
      • Figure 4.10: Gemalto Revenues ( bn)
      • ii. Geographic Spread:
      • iii. Key Clients and Strategic Partnerships:
      • iv. Products and Services:
      • v. Juniper's View; Key Strengths and Strategic Opportunities
    • 4.4.12 BitTorrent
      • i. Corporate Profile:
      • ii. Geographic Spread:
      • iii. Key Clients and Strategic Partnerships:
      • iv. Products and Services:
      • v. Juniper's View; Key Strengths and Strategic Opportunities

5

2. Market Sizing & Forecasts

1. Introducing Mobile Messaging

  • 1.1 Introduction
    • 1.1.1 Background
      • i. Mobile Messaging
    • 1.1.2 History of Mobile Messaging
      • Figure 1.1: The Evolution of the Mobile Messaging Market (1973-Present).
      • i. Online Messaging
  • 1.2 Key Service Types
    • 1.2.1 Outline of Services
      • Figure 1.2: Mobile Messaging Overload
    • 1.2.2 Traditional Forms of Mobile Messaging
      • i. SMS
      • Figure 1.3: UK SMS & Mobile Subscription Data
      • ii. MMS
      • Figure 1.4: Methods of Communication Other Than Traditional Voice Telephony (Proportion of Respondents)
    • 1.2.3 Sender/Recipient Relationships: P2P/A2P
      • i. P2P
      • ii. A2P
    • 1.2.4 OTT Players
    • 1.2.5 Regionality and the Expansion of OTT applications
      • i. North America
      • ii. South America
      • iii. Europe
      • iv. Far East and China
      • v. Middle East and Africa
      • vi. Asia Pacific
    • 1.2.6 NUVOs
      • i. Case Study: Google Voice
    • 1.2.7 Consumer Security Fears - Encryption as a Remedy.
      • i. Hacking on a Grander Scale
      • ii. Case Study: Slack
      • Figure 1.5: Comparison Between Traditional P2P Messaging Delivery and
      • iii. Case Study: Bleep
      • iv. Case Study: Cyber Dust
    • 1.2.8 Enterprise Messaging
    • 1.2.9 WebRTC + RCS and Future Applications with VoLTE
      • i. IMS and Standardisation
      • ii. WebRTC
      • Figure 1.6: MWC 2015 Connected City Demonstration
      • iii. Case Study: Contact Centre by Orange, Powered by joyn
      • iv. RCS
      • v. VoLTE
    • 1.2.10 Pitfalls of RCS and VoLTE Technology
      • i. RCS - Years in Development
      • ii. Viable VoLTE
      • Table 1.7: Roll-out of VoLTE and RCS

2. Global Messaging Overview

  • 2.1 Introduction
    • Figure 2.1: Messaging Markets Covered in the Research
  • 2.2 Device Installed Bases
    • 2.2.1 Handset Installed Base
      • Figure & Table 2.2: Handset Installed Base Forecasts (m) Split by 8 Key Regions 2014-2019
    • 2.2.2 Tablet Installed Base
      • Figure & Table 2.3: Tablet Installed Base Forecasts (m) Split by 8 Key Regions 2014-2019
    • 2.2.3 Desktop PC & Notebook Installed Base
      • Figure & Table 2.4: Desktop PC & Notebook Installed Base Forecasts (m) Split by 8 Key Regions 2014-2019
  • 2.3 Global Messaging Traffic
    • Figure & Table 2.5: Global Messaging Traffic (bn) Split by 8 Key Regions 2014-2019
  • 2.4 Global Messaging Revenues
    • Figure & Table 2.6: Global Messaging Revenues ($m) Split by Market 2014-2019

3. SMS Forecasts

  • 3.1 SMS Forecast Methodology
    • Figure 3.1: SMS Forecast Methodology
  • 3.2 SMS Forecasts
    • 3.2.1 Total SMS Traffic
      • Figure & Table 3.2: Total SMS Traffic (bn) Split by 8 Key Regions 2014-2019 31 3.2.2 P2P SMS Traffic
    • 3.2.2 P2P SMS Traffic
      • i. P2P SMS Traffic by Region
      • Figure & Table 3.3: P2P SMS Traffic (bn) Split by 8 Key Regions 2014-2019 32
      • ii. Traffic by Handset Type
      • Figure & Table 3.4: P2P Handset Traffic (bn) Split by Handset Type 2014-2019
    • 3.2.3 P2P SMS Revenues
      • Figure & Table 3.5: Total P2P SMS Revenues ($m) Split by 8 Key Regions 2014-2019
    • 3.2.4 A2P SMS Traffic
      • i. A2P Traffic by Region
      • Figure & Table 3.6: A2P SMS Traffic (bn) Split by 8 Key Regions 2014-2019
    • 3.2.5 A2P SMS Revenues
      • Figure & Table 3.7: Total A2P SMS Revenues ($m) Split by 8 Key Regions 2014-2019
    • 3.2.6 Total SMS Revenues
      • Figure & Table 3.8: Total SMS Revenues ($bn) Split by 8 Key Regions 2014-2019

4. MMS Forecasts

  • 4.1 MMS Forecast Methodology
    • Figure 4.1: MMS Forecast Methodology
  • 4.2 MMS Forecasts
    • 41 4.2.1 Total MMS Traffic
      • Figure & Table 4.2: Total MMS Traffic (bn) Split by 8 Key Regions 2014-2019
      • i. MMS Traffic by Handset Type
      • Figure & Table 4.3: Handset Traffic (bn) by Handset Type 2014-2019
    • 4.2.2 P2P MMS Traffic
      • i. P2P MMS Traffic by Region
      • Figure & Table 4.4: P2P MMS Traffic (m) Split by 8 Key Regions 2014-2019
    • 4.2.3 P2P MMS Revenues
      • Figure & Table 4.5: P2P MMS Revenues ($m) Split by 8 Key Regions 2014-2019
    • 4.2.4 A2P MMS Traffic
      • i. A2P MMS Traffic by Region
      • Figure & Table 4.6: A2P MMS Traffic (m) Split by 8 Key Regions 2014-2019
    • 4.2.5 A2P MMS Revenues
      • Figure & Table 4.7: A2P MMS Revenues ($m) Split by 8 Key Regions 2014-2019
    • 4.2.6 Total MMS Revenue
      • Figure & Table 4.8: Total MMS Revenues ($bn) Split by 8 Key Regions 2014-2019

5. Instant Messaging, Email, Social Messaging & RCS/RCS-e Forecasts

  • 5.1 Instant Messaging Methodology
    • Figure 5.1: IM Forecast Methodology
  • 5.2 Instant Messaging Forecasts
    • 5.2.1 Mobile IM Traffic
      • Figure & Table 5.2: Mobile Total Instant Messaging Traffic (bn) Split by 8 Key Regions 2014-2019
    • 5.2.2 Instant Messaging Revenues
      • i. IM Revenues by Business Model
      • Figure & Table 5.3: Total Instant Messaging Revenues ($m) By Business Model 2014-2019
      • ii. Total IM Revenues
      • Figure & Table 5.4: Total Instant Messaging Revenues ($m) Split by 8 Key Regions 2014-2019
  • 5.3 Email Methodology
    • Figure 5.5: Email Forecast Methodology
  • 5.4 Email Forecasts
    • 5.4.1 Email Forecasts by Device Type
      • Figure & Table 5.6: Total Email Traffic (bn) by Device Type 2014-2019
    • 5.4.2 Total Email Traffic by Region
      • Figure & Table 5.7: Total Email Traffic (bn) Split by 8 Key Regions 2014-2019
  • 5.5 Social Messaging Methodology
    • Figure 5.8: Social Messaging Methodology
  • 5.6 Social Media Forecasts
    • 5.6.1 Social Media Forecasts by Device Type
      • Figure & Table 5.9: Social Media Traffic (bn) by Device Type 2014-2019
    • 5.6.2 Social Messaging Traffic by Region
      • Figure & Table 5.10: Total Social Messaging Traffic (bn) Split by 8 Key Regions 2014-2019
  • 5.7 RCS/RCS-e Forecast Methodology
    • Figure 5.11: RCS/RCS-e Forecast Methodology
  • 5.8 RCS/RCS-e Forecasts
    • 5.8.1 RCS/RCS-e traffic by Format
      • Figure & Table 5.12: RCS/RCS-e Traffic (m) by Format 2014-2019
    • 5.8.2 Total RCS/RCS-e Traffic by Region
      • Figure & Table 5.13: RCS/RCS-e Traffic (m) Split by 8 Key Regions 2014-201963
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