Digital Marketing Researches & Reports

Global Internet Phenomena: Latest Internet Trends in Asia-Pacific, Africa & the Middle East, 2016 | Sandvine

Mobile Marketing | Africa

Web Browsing continues as the dominant downstream traffic category, accounting for 31.4% of downstream traffic, a small the decline from last year and also communications now accounts for 41.57% of peak upstream traffic. The points below reflect the latest trends of mobile access phenomena in Asia-Pacific, Africa, & the Middle East:

Mobile Access in Africa

  • WhatsApp generates over 7% of network traffic & Viber with 3.18% is now among the top 10 upstream traffic generating applications.
  • Africa is the only region where Opera Mini, a web browser focused on data efficiency on both feature phones and smartphones, remains among the top 10 applications.
  • YouTube ranks at the second place of the 10 peak period applications of downstream with a rate of 11.78%, followed by WhatsApp.
  • In contrast, WhatsApp ranks at the same place but in upstream, followed by Facebook, and YouTube comes at the last space.

Mobile Access in the Middle East

  • YouTube is the leading application in the region, accounting for nearly 25% of downstream traffic during the peak evening hours & 15.79% of upstream.
  • What is unique with Middle Eastern networks is the popularity of Instagram, where it continues to be the fourth-ranked application, accounting for over 9.5% of total traffic during peak period.

Mobile Access in Asia-Pacific

  • Unlike other regions in Asia-Pacific, multiple applications including YouTube, Dailymotion, Wowza, MPEG, PPStream, and QVoD are responsible for driving traffic.
  • Even with the small decline in overall Real-Time Entertainment share, YouTube accounted for 22.5% of peak downstream traffic.
Global Internet Phenomena Latest Internet Trends in Asia-Pacific, Africa, & Middle East, Q3-2016 Sandvine

A Figure Shows The Top 10 Peak Period Applications.


Founded in 2001, Sandvine helps organizations run world-class networks with Active Network Intelligence, leveraging machine learning analytics and also closed-loop automation in order to identify and adapt to network behavior in real time.Sandvine's Active Network Intelligence approach helps organizations drive new economics for their network across all lines of business.

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