AI Driven Cloud and 6G Enabled Metaverse: A Systematic Review of Big Data Analytics, Security, Privacy, and Digital Trust

Abstract

The metaverse is emerging as a persistent and immersive digital environment that combines extended reality, cloud edge computing, artificial intelligence, big data analytics, digital twins, blockchain, and future wireless connectivity. However, real time metaverse services require ultra low latency, high data rates, context aware intelligence, scalable cloud infrastructure, and trustworthy data governance. This paper presents a PRISMA informed systematic review of AI driven cloud and 6G enabled metaverse research with special attention to big data analytics, security, privacy, and digital trust. A structured search strategy was designed across major scholarly databases and citation snowballing sources, and 45 studies were selected for qualitative synthesis. The review classifies the literature into six themes: AI and real time analytics, cloud edge device orchestration, 6G connectivity, metaverse security, privacy preserving mechanisms, and digital trust governance. The findings show that 6G and edge intelligence can support immersive metaverse services through sub millisecond interaction, distributed rendering, semantic communication, integrated sensing, and adaptive resource allocation. At the same time, the literature reveals open challenges involving identity management, biometric privacy, adversarial AI, cross platform interoperability, data provenance, and user trust. The paper concludes with a conference oriented research agenda for trustworthy AI cloud 6G metaverse systems.