iGR Develops Mobile Data Traffic Model

February 26, 2014

iGR has released its latest global mobile data traffic forecast. Along with the usual metrics, the study adds a bit of a different perspective on the amount of mobile data consumed per connection, as well as per subscriber.

This is of interest because it allows iGR to develop subscriber usage profiles based on its primary and secondary research and further divide the subscribers into four different usage categories: light, medium, heavy and extreme. In the mobile data traffic model, these subscriber categories are defined by the activities and applications that tend to be used by that type of subscriber, as well as by the duration of the activity, transmission time and frequency of use.

The report is highlighted by cross tabulated results and predictions. The mobile data forecast reflects the amount of mobile data traffic, in megabytes per month, for each type of subscriber. This is a valuable metric since because it shows not only the bandwidth per subscriber, but also the signaling load on the networks.

With this report, bandwidth usage can be determined across a wider subscriber base. The report presents a more complex model that can be applied to a broader range of usage as applied to multiple devices. According to iGR’s model, as each subscriber uses more bandwidth, they are doing so on more devices and more varied types of devices. The report discusses how that will affect bandwidth loads. For more information, visit igr-inc.com/Opinion/