Subscription Services Will Replace Downloads as the Dominant Online Music Model -- While online music stores like Apple's iTunes have attracted millions of customers by selling downloads of songs or albums, changing market conditions will make subscription-based music services the dominant model for selling online music in the future. That is the conclusion of "Online Music: Will Napster Be the Next iTunes as Subscriptions Replace Downloads?" a new report from Strategy Analytics. According to this report, the shift toward subscription music services will be driven by a combination of changing consumer expectations as well as pressure from broadband service providers and record companies. In addition to changing consumer needs, the report notes that many broadband service providers prefer to offer a subscription service, such as Real Networks' Rhapsody, which generates steady monthly revenues and helps deter broadband churn. Finally, major record companies are dissatisfied with the revenue they receive from low-cost download sales, and will increasingly focus on alternative business models for selling music online.
As more organizations adapt to a hybrid working model for their distributed workforce, enterprise CIOs and CTOs are tasked with delivering new productivity-enabling applications, while also seeking ways to effectively reduce IT cost, complexity, and risk. Traditional IT hardware infrastructure is evolving to more software-based solutions. The worldwide software-defined infrastructure (SDI) combined software market reached $12.17 billion during 2020 -- that's an increase of 5 percent over 2019, according to the latest market study by International Data Corporation (IDC). The market grew faster than other core IT technologies. The three technology pillars within the SDI market are: software-defined compute (53 percent of market value), software-defined storage controller (36 percent), and software-defined networking (11 percent). "Software-defined infrastructure solutions have long been popular for companies looking to eliminate cost, complexity, and risk within their data cente