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市場調查報告書

行動傳訊

Mobile Messaging

出版商 Juniper Research 商品編碼 479753
出版日期 內容資訊 英文
商品交期: 最快1-2個工作天內
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行動傳訊 Mobile Messaging
出版日期: 2017年03月08日 內容資訊: 英文
簡介

本報告提供行動傳訊市場相關調查,通訊市場動態,未來技術展望,主要企業的採訪,及產業預測的基準等相關彙整。

市場趨勢 & 競爭情形

第1章 行動傳訊的簡介

  • 行動傳訊

第2章 行動傳訊:市場形勢、未來技術

  • 目前行動傳訊市場更新
  • A2P (應用對人)
  • OTT企業所面臨的課題
  • OTT通訊:企業分析
  • 聊天機器人市場
  • 聊天機器人的經營模式
  • 聊天機器人的部門分析

第3章 行動傳訊:企業簡介、定位

  • 行動傳訊的簡介
  • 供應商評估
  • 限制 & 說明
  • 行動傳訊:有勢力者
  • 行動傳訊:企業簡介
    • Amdocs
    • GENBAND
    • Ubiquity
    • Google (Jibe)
    • Infobip
    • Xura
    • Mitel Networks
    • Dialogue Networks
    • Twilio
    • Tata Communications
    • Nokia Networks
    • Huawei
    • Syniverse

市場規模 & 預測

第1章 行動傳訊的簡介

  • 行動傳訊

第2章 行動傳訊:市場摘要

  • 行動傳訊的摘要
    • 訊息服務的用戶總數
    • 發送訊息總數
    • 行動傳訊總收益

第3章 業者訊息服務:市場預測、要點

  • 業者的訊息服務
    • P2P通訊
    • A2P通訊
    • 年度終端SMS流量總數
    • 年度的P2P SMS發送總數
    • P2P SMS總收益
    • 直接連接A2P的流量產生的MNO收益
    • MNO SMS總收益:各通訊類型
    • 年度的終端MMS流量總數
    • MMS產生的總收益

第4章 即時 & 社群通訊:市場預測 & 要點

  • OTT & IM市場
    • IM (即時通訊)
    • 社群通訊
    • IM用戶總數:各設備類型
    • 行動IM流量總數
    • 年度的IM總收益:各商業模式
    • 行動裝置的社群通訊流量總數

第5章 聊天機器人:市場預測 & 要點

  • 行動聊天機器人市場
    • 零售
    • 金融
    • 醫療
    • 聊天機器人手法
    • 使用了利用聊天機器人的通訊軟體的行動裝置總數
    • 聊天機器人的存取總數
    • 生成收益的通訊軟體聊天機器人總數
    • 通訊軟體聊天機器人達成的e零售交易總額
目錄

Overview

As mobile network operators continue to face a rapidly changing market landscape, developing new business strategies and strategic forward planning is critical for stakeholders. Juniper's latest ‘Mobile Messaging' research provides a comprehensive analysis of the messaging ecosystem, including:

  • SMS: P2P & A2P
  • MMS: P2P
  • Instant Messaging
  • Social Messaging
  • RCS
  • Mobile Messaging Chatbots

This research suite comprises:

  • Market Trends & Competitive Landscape (PDF)
  • 5 Year Market Sizing & Forecasts (PDF & Excel)
  • Executive Summary & Core Findings (PDF)

Key Features

  • Messaging Market Dynamics: Strategic assessment of the current market landscape, examining future business models and market forces across key future messaging technologies.
  • Future Technology Prospects: Evaluation of the future impact of technologies including an in-depth assessment of A2P and Chatbot technologies in the mobile messaging space.
  • Interviews with leading players, including:
    • Dialogue Networks
    • Genband
    • Infobip
    • Kasisto
    • Mitto
    • Syniverse
    • Tata Communications
    • Ubiquity
    • XURA
  • Juniper Messaging Leaderboard: Key player capability and capacity assessment for 12 major B2B mobile messaging platform providers.
  • Benchmark Industry Forecasts: The size and growth of the users and service revenue for 8 key global regions and 16 national markets.

Key Questions

  • 1. What major market forces are changing the mobile messaging landscape?
  • 2. What is the future of A2P messaging, and how can operators monetise grey route traffic?
  • 3. Where will the key opportunities for mobile messaging chatbots develop?
  • 4. What is the size of the operator opportunity for each service over the next 5 years?
  • 5. Which messaging platform providers offer the largest breadth and depth of services to mobile network operators?

Companies Referenced

  • Interviewed: Dialogue Networks, GENBAND, Infobip, Kasisto, Mitto, Syniverse, Tata Communications, Ubiquity, Xura.
  • Profiled: Amdocs, Dialogue Networks, GENBAND, Google (Jibe), Huawei, Infobip, Mitel Networks, Nokia Networks, Syniverse, Twilio, Tata Communications, Ubiquity, Xura.
  • Case Studied: Facebook, Kasisto, Kip, WhatsApp, Wit.ai.
  • Mentioned: A1 Telekom Austria, Acision, AIM/iChat, Airtel, Aivo, Alcatel, Alibaba, Allianz,Banca Sella, Alphabet, Asia Netcom, AsiaInfo, Aspect, Authy, Axis, Banca Marche, Banca Mediolanum, Banca Monte dei Paschi di Siena,Fineco, Banca Popolare di Milano, Banca Popolare di Sondrio, BendBroadband, Bouygues Telecom, Braidio, BT, Capgemini, Cerent, ChatScript, China Mobile, Cisco Systems, Claro, Compass Grup, CounterPath, Daum Kakao, Deloitte, Deutsche Telekom, DiGi, DSC Communications, E///, EE, Eircom, Elisa, Equinix, Federal Bank, Fetion, Flipkart, fring Alliance, Gadu-Gadu, GSMA, Hike, Hutchinson 3G, IBM, ICQ, Intesa Sanpaolo Group, IW Bank, Jabber, Joyent, JuanaChat, Kik, KPN, LINE, LSN, M2 Dodo, Masergy, Mastercard, Mavenir Systems, mBlox, MEF (Mobile Ecosystem Forum), Microsoft, Mig33, Mobey Forum, Mobile Marketing Association, MobilTel, Motorola, Movistar, MVA (Mobile Video Alliance), Nimbuzz, NineStar, Olacabs, On Device Research, OneReach, ONO, PandoraBots, Pinger, PLDT, Polycom, RCom, Reliance, RenRen, ReplyYes, Rogers, RomTelecom, Samsung, SAP, Siemens, Sina, Skype, Slack, SMSGlobal, Solutions Infini, Sprint, SRI International, Stubhub.com, Sunrise, Talla, Tango, Tech Mahindra, Tekelec, Telecom Italia, Telefonica, TelemedCo, Teletalk, TeliaSonera, Telkom SA, textPlus, Three, TIM, Trumpia, Twylla, UAEXchange, Ubi Banca, UBI, Zurich, UniCredit Group, Varo, Versity, Viber, Vibes, VimpelCom, VMWare, Vodafone, VoiceBase, WeChat, Wind, WorldCom, Yahoo.

Data & Interactive Forecast

Juniper's Mobile Messaging forecast suite includes:

  • Market data splits for 8 key global regions, and 16 countries including:
    • US
    • Canada
    • Brazil
    • Denmark
    • France
    • Germany
    • Norway
    • Portugal
    • Spain
    • Sweden
    • UK
    • Russia
    • China
    • Japan
    • South Korea
    • India
  • Adoption & revenue forecasts for messaging services including:
    • SMS: P2P & A2P
    • MMS: P2P
    • Instant Messaging
    • Messaging Chatbots
  • Adoption and usage forecasts for the following services:
    • RCS & RCS-e
    • Mobile Social Messaging
    • Email
  • Interactive Scenario tool allowing user the ability to manipulate Juniper's data for 10+ different metrics.
  • Access to the full set of forecast data of more than 220 tables and over 39,400 datapoints.

Juniper Research's highly granular interactive excels enable clients to manipulate Juniper's forecast data and charts to test their own assumptions using the Interactive Scenario Tool; and compare select markets side by side in customised charts and tables. IFxls greatly increase clients' ability to both understand a particular market and to integrate their own views into the model.

Table of Contents

Market Trends & Competitive Landscape

1. Introduction to Mobile Messaging

  • 1.1. Mobile Messaging
    • 1.1.1. Legislation, Regulation & Fees
    • 1.1.2. Incentives for Alliance
    • 1.1.3. Potential Challenges

2. Mobile Messaging: Market Landscape & Future Technologies

  • 2.1. Current Mobile Messaging Market Update
    • 2.1.1. P2P (Person-to-Person) Messaging
      • Figure 2.1: The P2P SMS/MMS Messaging Value Chain
    • 2.1.2. 0TT Value Chain
      • i. IM (Instant Messaging)
        • Figure 2.2: The Instant Messaging Value Chain
    • 2.1.3. NUVO (Network Unaffiliated Virtual Operator) Value
      • i. NUVO Messaging
        • Figure 2.3: The NUVO Value Chain
  • 2.2. A2P (Application-to-Person)
    • 2.2.1. Definitions
      • i. Standard A2P
      • ii. PSMS A2P
    • 2.2.2. Operator Drivers
      • i. MNO Core Revenues Are in Decline
        • Figure 2.4: Operator Billed Service Revenues ($bn), Split by 8 Key Regions 2011-2015
    • 2.2.3. Quantifiable Impact
      • Figure 2.5: Average Number of SMS Sent Per User per Month, Selected Operators, 2011 -2015
    • 2.2.4. 0TT Player Strategies
      • i. Entering New Markets
      • ii. In-application Advertising
      • iii. Offering Premium Services
  • 2.3. Issues Facing 0TT Players
    • 2.3.1. Achieving a Level of Encryption
      • i. Case Study: WhatsApp Encryption Protocols
  • 2.4. 0TT Messaging: A Player Analysis
    • Figure 2.6: Juniper Heatmap - OTT Messaging Players
  • 2.5. The Chatbot Market
    • 2.5.1. Current Market Status
      • Figure 2.7: Juniper Phased Evolution Model - Messaging Chatbots
    • 2.5.2. The Chatbot Ecosystem
      • Figure 2.8: Chatbot Market Players
      • i. Case Study: Chatbots for Messenger
      • ii. Weaknesses
    • 2.5.3. Issues Facing the Chatbot Market
      • Figure 2.9: Mobile Chatbot Hurdles
    • 2.5.4. Chatbot 0TT Player Overview
    • 2.5.5. The State of AI (Artificial Intelligence) & NLP (Natural Language Processing)
  • 2.6. Chatbot Business Models
    • 2.6.1. Platform Strategies - BaaS (Bots-as-a-Service)
      • Figure 2.10: Chatbot Market- Recent Platform Provider Market Mover
      • i. Case Study: Wit.ai
    • 2.6.2. Bot Developer Monetization Strategies
      • iii. Case Study: Kip
      • vi. Case Study: Kasisto
  • 2.7. Chatbot Sector Analysis
    • 2.7.1. Retail
    • 2.7.2. Finance
    • 2.7.3. Healthcare

3. Mobile Messaging: Player Profiles & Positioning

  • 3.1. Introduction to Mobile Messaging
  • 3.2. Vendor Assessment
    • 3.2.1. Vendor Assessment Methodology
      • Table 3.1: Mobile Messaging Capability Criteria
      • Figure 3.2: Mobile Messaging Juniper Leaderboard Positioning Results
      • Table 3.3: Juniper Heatmap for the Mobile Messaging Market
    • 3.2.2. Mobile Messaging Vendor Grouping
      • i. Established Leaders
      • ii. Leading Challengers
  • 3.3. Limitations &Interpretations
  • 3.4. Mobile Messaging: Movers & Shakers
  • 3.5. Mobile Messaging: Player Profiles
    • 3.5.1. Amdocs
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of Offerings
      • v. Juniper's View: Key Strengths & Strategic Development Opportunities
    • 3.5.2. GENBAND
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of Offerings
      • v. Juniper's View: Key Strengths & Strategic Development Opportunities
    • 3.5.3. Ubiquity
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of 0rferings
      • v. Juniper's View: Key Strengths & Strategic Development Opportunities
    • 3.5.4. Google (Jibe)
      • i. Corporate
        • Table 3.5: Alphabet Selected Financial Information 2014-2016
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of 0rferings
      • v. Juniper's View: Key Strengths & Strategic Development Opportunities
    • 3.5.5. Infobip
      • i. Corporate Profile
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of Offerings
        • Figure 3.6: Infobip's Two-way SMS Coverage Map
      • v. Juniper's View: Key Strengths & Strategic Development Opportunities
    • 3.5.6. Xura
      • i. Corporate
      • ii. Global Reach
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of Offerings
      • v. Juniper's View: Key Strengths & Strategic Development Opportunities
    • 3.5.7. Mitel Networks
      • i. Corporate
        • Table 3.9: Mitel Networks Selected Financial Info rm ation 2013-2015
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of 0rferings
      • v. Juniper's View: Key Strengths & Strategic Development Opportunities
    • 3.5.8. Dialogue Networks
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of 0rferings
      • v. Juniper's View: Key Strengths & Strategic Development Opportunities
    • 3.5.9. Twilio
      • i. Corporate
        • Table 3.10: Twilio Selected Financial Information (Sm) 2015-2016 (All Figures 9 Months until 30th September)
      • ii. Global Reach
      • iii. Geographical Spread
      • iv. Key Clients & Strategic Partnerships
      • v. High Level View of Offerings
      • vi. Key Clients & Strategic Partnerships
    • 3.5.10. Tata Communications
      • i. Corporate
        • Table 3.11: Tata Communications Selected Financial Information ($m) 2015-2014
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of Offerings
        • Figure 3.12: Tata Communications A2P Ecosystem
      • v. Juniper's View: Key Strengths & Strategic Development Opportunities
    • 3.5.11. Nokia Networks
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of Offerings
      • v. Juniper's View: Key Strengths & Strategic Development Opportunities
    • 3.5.12. Huawei
      • i. Corporate Profile
        • Table 3.13: Huawei Selected Financial Information ($bn) 2014-2015
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of Offerings
      • v. Juniper's View: Key Strengths & Strategic Development Opportunities
    • 3.5.13. Syniverse
      • i. Corporate
        • Table 3.14: Syniverse Selected Financial Information ($m) 2014-2015
      • ii. Global Reach
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of Offerings
      • v. Juniper's View: Key Strengths & Strategic Development Opportunities

Market Sizing & Forecasts

1. Introduction to Mobile Messaging

  • 1.1. Mobile Messaging
    • 1.1.1. Potential Challenges

2. Mobile Messaging: A Market Summary

  • 2.1. Mobile Messaging Summary
    • 2.1.1. Total Number of Users of Messaging Services
      • Figure & Table 2.1: Total Number of Users of Messaging Services (m), Split by Services 2016-2021
    • 2.1.2. Total Number of Messages Sent
      • Figure & Table 2.2: Total Number of Messages Sent (bn), Split by Service 2016-2021
    • 2.1.3. Total Mobile Messaging Revenues
      • Figure & Table 2.3: Total Mobile Messaging Revenues ($m) Split by 8 key Regions 2016-2021

3. Operator Messaging Services: Market Forecast & Key Takeaways

  • 3.1. Operator Messaging Services
    • 3.1.1. P2P Messaging
    • 3.1.2. A2P Messaging
      • Figure 3.1: P2P SMS Forecast Methodology
      • Figure 3.2: A2P Forecast Methodology
    • 3.1.3. Total Annual Handset SMS Traffic
      • Figure & Table 3.3: Total Annual Handset SMS Traffic (bn) Split by 8 key Regions 2016-2021
    • 3.1.4. Total Number of P2P SMS Sent per Annum
      • Figure & Table 3.4: Total Number of P2P SMS Sent per Annum (bn) Split by 8 Key Regions 2016-2021
    • 3.1.5. Total P2P SMS Revenue
      • Figure & Table 3.5: Total SMS Revenue ($m) Split by 8 Key Regions 2016-2021
    • 3.1.6. MNO Revenues from Directly Connected A2P Traffic
      • Figure & Table 3.6: MNO Revenues from Directly Connected A2P Traffic ($m) Split by 8 Key Regions 2016-2021
    • 3.1.7. Total MNO SMS Revenue, Split by Messaging Type
      • Figure & Table 3.7: Total MNO SMS Revenue ($m) Split by Messaging Type 2016-2021
    • 3.1.8. Total Annual Handset MMS Traffic
      • Figure & Table 3.8: Total Annual Handset MMS Traffic (m) Split by 8 Key Regions 2016-2021
    • 3.1.9. Total Revenue from MMS
      • Figure & Table 3.9: Total Revenue from MMS ($bn) Split by 8 Key Regions 2016-2021

4. Instant & Social Messaging: Market Forecasts & Key Takeaways

  • 4.1. The 0TT & IM Market
    • 4.1.1. IM (Instant Messaging)
    • 4.1.2. Social Messaging
      • Figure 4.1:IM Forecast Methodology
    • 4.1.3. Total Number of IM users, Split by Device Type
      • Figure & Table 4.2: Total Number of IM users, Split by Device Type (m) 8 Key Regions 2016-2021
    • 4.1.4. Total Mobile IM Traffic
      • Figure & Table 4.3: Total Mobile IM Traffic (bn) Split by 8 Key Regions 2016-2021
    • 4.1.5. Total IM Revenues per Annum, Split by Business Model
      • Figure & Table 4.4: Total IM Revenues per Annum ($m) Split by Business Model 2016-2021
    • 4.1.6. Total Mobile Device Social Messaging Traffic
      • Figure & Table 4.5: Total Mobile Device Social Messaging Traffic (m) Split by 8 Key Regions 2016-2021

5. Chatbots: Market Forecasts & Key Takeaways

  • 5.1. The Market for Mobile Chatbots
    • 5.1.1. Retail
    • 5.1.2. Finance
    • 5.1.3. Healthcare
    • 5.1.4. Chatbot Methodology
      • Figure 5.1: Mobile Chatbots Forecast Methodology
    • 5.1.5. Total Mobile Devices Using Messaging Apps that Use Chatbots
      • Figure & Table 5.2: Total Mobile Devices Using Messaging Apps that Use Chatbots (m) Split by 8 Key Regions 2016 -2021
    • 5.1.6. Total Number of Chatbots Accessed
      • Figure & Table 5.3: Total Number of Chatbots Accessed per Annum (m) Split by 8 Key Regions 2016-2021
    • 5.1.7. Total Number of Messaging App Chatbots that Generate Revenues
      • Figure & Table 5.4: Total Number of Messaging App Chatbots that Generete Revenues (m) Split by 8 Key Regions 2016-2021
    • 5.1.8. Total Value of eRetail Transactions Completed on Messaging App Chatbots
      • Figure & Table 5.5: Total Value of eRetail Transactions Completed on Messaging App Chatbots ($m) Split by 8 Key Regions 2016-2021
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