(from press release) The Akamai Net Usage Index for Digital Music is the world's first and only daily Web traffic benchmark that tracks where and when digital music is being consumed on a global basis. Key to the relevance of the index - is the fact that Akamai is the delivery platform for many of the leading global digital music companies - giving it a unique view into the daily Web traffic of music streaming and music download websites.
The new index from Akamia tracks and benchmarks global Web usage patterns of visitors to more than 40 digital music websites, including music download sites, music destination sites, and live radio broadcast services, such as XM Satellite Radio, Clear Channel, Premiere Radio, MTV, Rediff.com and Napster, among others.
According to Brad Rinklin, vice president of Marketing, "The Net Usage Index for Digital Music data will help the industry by providing empirical data on consumer behavior and online music."
Data collected from the Index over the past three months shows key geographic patterns and insight into Web traffic trends associated with downloaded and streamed digital music:
- North America, Asia, and Europe represent the bulk of visitor traffic to these sites
- Daily peak traffic worldwide is more than half a million visitors per minute
- Traffic peaks in North America and Europe tend to occur mid-week, while peaks in Asia and Australia
come toward the end of the week
- Sunday is consistently the slowest day for visitors to these sites
The Akamai Net Usage Index for Digital Music provides a global aggregate view of total visitors per minute, as well as a detailed view by continent, from a collection of digital music sites delivered by Akamai. All of the sites included in the index provide digital music streaming or downloads as their core business. Akamai's Net Usage Index offers businesses real-time information about the usage habits of visitors to their sites, and an industry benchmark to measure against. Anyone interested in data from the Index can view an aggregate, real-time view of Web traffic patterns online.