Metaverse

McKinsey estimates Metaverse to create $5T in value by 2030

The report notes that the Metaverse is too important to be ignored, as it has the potential to significantly impact both business and personal life

The 2022 bear market had a negative impact on the excitement surrounding the development of sub-ecosystems within the crypto market, such as non-fungible tokens (NFTs). However, the long-term potential for disruption in the Metaverse, a virtual space where people can interact with each other and digital objects, remains strong.

A report from McKinsey & Company estimates that the Metaverse could potentially generate up to $5 trillion in value by 2030 due to its potential to be used in a variety of consumer and business applications.

According to the report, In order for the Metaverse to reach its full potential, certain technological advances are necessary. These include devices such as augmented and virtual reality systems, sensors, haptic technology, and peripherals; interoperability and open standards to allow for seamless communication between different systems; platforms to facilitate the development and use of metaverse technologies; and tools for creating and building within the Metaverse.
However, it is also important for the Metaverse to prioritise the human experience and create positive experiences for those who use it.
So far, the highest adoption rates for metaverse technology have been in the areas of marketing, learning, and virtual meetings.
However, according to a survey of senior executives conducted by McKinsey in April, many metaverse initiatives have seen low to medium levels of adoption. Despite this, the report notes that the Metaverse is too important to be ignored, as it has the potential to significantly impact both business and personal life.

Mots-clés : cybersécurité, sécurité informatique, protection des données, menaces cybernétiques, veille cyber, analyse de vulnérabilités, sécurité des réseaux, cyberattaques, conformité RGPD, NIS2, DORA, PCIDSS, DEVSECOPS, eSANTE, intelligence artificielle, IA en cybersécurité, apprentissage automatique, deep learning, algorithmes de sécurité, détection des anomalies, systèmes intelligents, automatisation de la sécurité, IA pour la prévention des cyberattaques.

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