As with all other applications, metaverses and metaverse-similar use cases will require connectivity, data centers and cloud computing providers in the value chain.
From a digital infrastructure perspective, internet of things, blockchain, edge computing, cloud computing, artificial intelligence and networks are part of the metaverse value chain.
That means connectivity providers might play parts of roles in IoT, blockchain, edge computing or cloud, while obviously functioning most directly as connectivity providers. Data centers and computing-as-a-service suppliers will have a wider range of roles in edge computing and hosting,
Of course, it is often difficult to define what we are talking about when we discuss “metaverse.”
Most attempted definitions for metaverse include the idea of virtual worlds where real people interact in real time.
Beyond virtual worlds, metaverse technologies typically include use of avatars, three-dimensional representation; bots; virtual reality; cryptocurrency, blockchain; non-fungible tokens; social networks; mobile and other devices.
But some of those technologies also will be used to support more-realistic experiences that are “less than” full immersion in virtual worlds such as gaming. Digital twins and conferencing provide examples. It is at least conceivable that such uses might initially be more important than full metaverse worlds.
Value chains and layers are related concepts, in that regard. Since layers are fundamental to modern computing and software, it will come as no surprise that “metaverse” also might be defined in layers.
In principle, it is possible to use many supporting capabilities for all sorts of apps that are not intended to be full virtual worlds. And since it is easier to introduce radically-new technology in a confined manner, rather than as a wholesale “rip and replace” operation, we are likely to see many building block technologies supporting higher degrees of realism before we see successful metaverses in commercial use.
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