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Communication services in Sub-Saharan Africa: trends and forecasts 2018–2023

02 April 2019 | Research

Stephen Sale Giulio Sinibaldi

Forecast report | PPTX and PDF (15 slides); Excel | Future Comms


"Operators are counting on the increased use of smartphones and mobile data to drive revenue growth. As such, partnerships with major app providers are beneficial to both parties."

This report provides an outlook on the mobile communication services market in Sub-Saharan Africa (SSA), 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 messaging 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 for the region as a whole and for Ghana, Kenya, Nigeria and South Africa
  • individual profiles for Ghana, Kenya, Nigeria and South Africa.

Regions

 

Key metrics

Regions covered in this report:

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

 

Forecast results provided in the data annex:

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

 

  • 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

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