Video generates anywhere from 40% to 60% of mobile data traffic on wireless networks today, according to a fresh mobile analytics report from Bytemobile Inc. Considering that, it’s no wonder mobile videos are stalling between 5% and 40% of the time depending on network conditions and the time of day.
“That is a large amount of data to deal with. If it didn’t exist, operators probably wouldn’t have any problems with their network,” Anna Yong, mobile analytics manager at Bytemobile, told RCR Wireless News.
The amount of video traffic that flows on any given network is generally a function of the network and the devices, Yong said. “When the experience is poor customers aren’t going to do it,” she added.
While most carriers have been reticent to change or manipulate content to achieve a better experience for their customers, there has been a shift and more operators are pursuing video optimization on their network.
“Operators are looking for more creative ways and more in-depth ways to figure out what’s going on in their network,” she said. “The problem is getting better and they have to do something about it.”
Video optimization technology can reduce stalling by as much as 50%, according to Bytemobile. Accompanying the new report, Bytemobile announced enhancements to its traffic reporting and analytics offering. Bytemobile’s Smart Capacity Mobile Analytics now includes better insights into mobile data congestion, application traffic patterns and enables carriers to set benchmarks for a level quality of service throughout their networks.
Video is still wreaking havoc on carrier networks
ABOUT AUTHOR
Jump to Article
What infra upgrades are needed to handle AI energy spikes?
AI infra brief: Power struggles behind AI growth
The IEA report predicts that AI processing in the U.S. will need more electricity than all heavy industries combined, such as steel, cement and chemicals
Energy demand for AI data centers in the U.S. is expected to grow about 50 gigawatt each year for the coming years, according to Aman Khan, CEO of International Business Consultants
AI infra brief: Power struggles behind AI growth
The IEA report predicts that AI processing in the U.S. will need more electricity than all heavy industries combined, such as steel, cement and chemicals
Energy demand for AI data centers in the U.S. is expected to grow about 50 gigawatt each year for the coming years, according to Aman Khan, CEO of International Business Consultants