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市場調查報告書

撒哈拉以南非洲的通訊服務:2017年∼2022年的趨勢與預測

Communication Services in Sub-Saharan Africa: Trends and Forecasts 2017-2022

出版商 Analysys Mason 商品編碼 365855
出版日期 內容資訊 英文 15 Slides
商品交期: 最快1-2個工作天內
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撒哈拉以南非洲的通訊服務:2017年∼2022年的趨勢與預測 Communication Services in Sub-Saharan Africa: Trends and Forecasts 2017-2022
出版日期: 2018年01月09日 內容資訊: 英文 15 Slides
簡介

本報告提供撒哈拉以南非洲 (SSA) 的行動通訊服務市場相關調查分析,提供全球趨勢,地區趨勢,加上包含迦納,肯亞,奈及利亞,南非等各國趨勢與最新預測相關的系統性資訊。

摘要整理

全球趨勢

  • 全球:IP訊息傳輸量是短訊流量的8倍以上
  • 全球:到2022年,全球75%的人口將使用OTT短信服務
  • 全球:Facebook正在採用LINE和微信在亞洲國家率先推出的平台提案
  • 全球:智慧型手機將繼續主導通信設備
  • 全球:不同地區業者的戰略反應差異明顯
  • 全球:業者正在將智慧型手機用戶轉移到VoLTE服務 - 預計到2022年將有36億用戶
  • 全球:許多業者正在推出Wi-Fi通話,主要是為了改善室內覆蓋
  • Google的參與推動了豐富的通信服務,但使用率可能仍然很低

地區趨勢

  • 撒哈拉以南非洲:社群和通訊傳遞服務將繼續成為業者增長的重要動力
  • 非洲撒哈拉以南地區:業者將繼續受益於行動語音的強勁增長

各國的趨勢

  • 迦納:業者正在與OTT合作,以增加智慧型手機普及率和行動數據消費
  • 肯亞:Airtel擁有第二大用戶數量,並提供社群媒體來推動行動數據的採用
  • 奈及利亞:大多數業者正在推廣社群媒體套裝。LTE仍處於試用階段,IP化轉型相對遙遠
  • 南非:C組一直以社群綁定套組為主,Telkom也是語音和通訊傳遞的干擾者

預測手法與前提條件

關於著者和Analysys Mason

本網頁內容可能與最新版本有所差異。詳細情況請與我們聯繫。

目錄

"Operators are counting on the increased penetration of smartphones and mobile data to drive growth; partnerships with major app providers are a win-win strategy."

This report provides an outlook on the mobile communication services market in the Sub-Saharan Africa (SSA) region, including country views for Ghana, Kenya, Nigeria and South Africa. It provides forecasts for voice and messaging services provided by both mobile network operators and over-the-top (OTT) providers.

This report provides:

  • forecasts for operator services including VoLTE, Wi-Fi calling and IP messaging, as well as traditional voice and SMS services
  • quantification of the level of substitution from traditional services to OTT alternatives
  • user and traffic forecasts for communication services, including OTT voice and messaging
  • an outlook for multi-device usage across smartphones, tablets and PCs/laptops
  • data provided for the region as a whole and for Ghana, Kenya, Nigeria and South Africa
  • individual profiles for Ghana, Kenya, Nigeria and South Africa.
RegionsKey metrics

Regions covered in this report:

  • Worldwide
  • SSA region
  • Ghana
  • Kenya
  • Nigeria
  • South Africa

Non-operator/OTT services

  • Voice and messaging
  • Active users by device type
  • Outgoing traffic by device type

Operator traditional services

  • Handsets
  • Circuit-switched (CS) voice and SMS
  • Outgoing traffic

Operator IP-based services

  • Active users by service type:
    • VoLTE, Wi-Fi calling, IP messaging
  • Outgoing traffic by service type
    • VoLTE, Wi-Fi calling, IP messaging
  • Retail revenue
    • voice and messaging
    • average spend per user

Forecast results provided in the data annex:

  • Worldwide
  • SSA region
  • Ghana
  • Kenya
  • Nigeria
  • South Africa
  • Rest of SSA region

 

Table of Contents

  • 5.Executive summary
  • 6.Executive summary
  • 7.Worldwide trends
  • 8.Worldwide: IP messaging traffic volumes were more than 8 times the size of SMS traffic in 2016
  • 9.Worldwide: OTT messaging services will be adopted by 75% of the global population by 2022
  • 10.Worldwide: Facebook is adopting the platform proposition pioneered in Asian countries by LINE and WeChat
  • 11.Worldwide: Smartphones will continue to dominate as communication devices
  • 12.Worldwide: Strategic responses from operators vary noticeably in different regions
  • 13.Worldwide: Operators are migrating smartphone users to VoLTE services -nearly 3.6 billion subscribers are expected by 2022
  • 14.Worldwide: Many operators are rolling out Wi-Fi calling, principally to improve indoor coverage
  • 15.Google's involvement has boosted Rich Communications Services, but usage is likely to remain low
  • 16.Regional trends
  • 17.Sub-Saharan Africa: Social and messaging services will continue to be an important driver of growth for operators
  • 18.Sub-Saharan Africa: Operators will continue to benefit from strong growth in mobile voice
  • 19.Country-level trends
  • 20.Ghana: Operators are partnering with OTT players to grow smartphone penetration and mobile data consumption
  • 21.Kenya: Airtel has the second-largest number of subscribers and offers social media bundles to drive mobile data adoption
  • 22.Nigeria: Most operators are promoting social media bundles; LTE is still at the trial stage, so IP transformation is distant
  • 23.South Africa: Cell C has been aggressive with social bundles; Telkom is also acting as a disruptor in voice and messaging
  • 24.Forecast methodology and assumptions
  • 25.Forecast outputs and definitions
  • 26.Forecast methodology
  • 27.About the authors and Analysys Mason
  • 28.About the authors
  • 29.About Analysys Mason
  • 30.Research from Analysys Mason
  • 31.Consulting from Analysys Mason

List of figures

  • Figure 1: Messaging traffic, Sub-Saharan Africa, 2011-2022
  • Figure 2: Mobile voice traffic, Sub-Saharan Africa, 2011-2022
  • Figure 3: Messages sent by message type worldwide, 2011-2016
  • Figure 4: Messages sent by message type and number of OTT messaging active users worldwide, 2011-2022
  • Figure 5: OTT messaging users by device worldwide, 2011-2022
  • Figure 6: OTT voice users by device worldwide, 2011-2022
  • Figure 7: Retail revenue for operator mobile voice services worldwide, 2015-2022
  • Figure 8: Retail revenue for SMS services worldwide, 2016-2022
  • Figure 9: Active users of VoLTEservices by region, 2016-2022
  • Figure 10: Wi-Fi calling service users and traffic worldwide, 2016-2022
  • Figure 11: Traffic for all mobile operator messaging services and number of operator-provided IP messaging service users worldwide, 2016-2022
  • Figure 12: Messaging traffic, Sub-Saharan Africa, 2011-2022
  • Figure 13: Mobile voice traffic, Sub-Saharan Africa, 2011-2022
  • Figure 14: Messaging traffic by message type, Ghana, 2011-2022
  • Figure 15: Messaging traffic by message type, Kenya, 2011-2022
  • Figure 16: Messaging traffic by message type, Nigeria, 2011-2022
  • Figure 17: Messaging traffic by message type, South Africa, 2011-2022
  • Figure 18: Overview of the main forecast outputs
  • Figure 19: Overview of the forecast methodology used in this report
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