The concept of the metaverse has become tightly bound up with Web3 ideals of decentralization and associated crypto technologies, particularly NFTs. This primer takes a concise journey through the lexicon, describing key concepts necessary to navigate those worlds.
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Metaverse Games Benchmark Report – 2021
Report / 01 Oct 2021 / Dom Tait
The Metaverse Games Benchmark Report, examining in-game fashion and digital shopfronts, is a vital tool for brands looking to understand, and profit from, the metaverse. An Excel database is available to complement this report. Metaverse titles such as Roblox and Zepeto have opened up new digital shopfronts with a massive potential customer base, allowing forward-thinking fashion brands to cash in – Gucci, one of the earliest to embrace the metaverse, saw revenue rise by over 20% year-on-year in the first quarter of 2021. There are huge opportunities here for clothing, shoe, bag, make-up, jewellery, and watch brands alike. But time is running out for brands who are slow to take these opportunities, with upstart digital fashion brands and enterprising individuals already muscling in. This report includes: A quantifiable framework to aid understanding of what to look for in a metaverse title, grouped around categories of Scale, Monetization, Entertainment, Interaction, and Technology Six games assessed and ranked against these criteria – Minecraft, Fortnite, Roblox, Dreams, Core, and Zepeto Understand which titles are best to partner with now – and which are positioning themselves well for future opportunities with fashion brands 36-slide Powerpoint report explaining what current options best fit fashion and other brands’ need to find effective outlets for digital sales.
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Big Tech Looks to New Worlds in the Metaverse
Report / 30 Mar 2022 / Seth Wallis-Jones
This report examines the emergence of the immersive online “metaverse,” and the strategies of the major US and China-based consumer platform companies: Alphabet, Amazon, Apple, Meta, Microsoft, Alibaba, Baidu, Bytedance, and Tencent
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These are Omdia driven recommendations based on content that is both similar, and has been frequently visited by other users in combination with the content you are currently viewing.
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