The system enables users to access high-quality gaming content through basic equipment because it transmits pre-rendered visuals over the internet instead of requiring users to possess advanced graphics processing units and central processing units. The review examines 78 studies which researchers published between 2015 and 2025 to explore various technologies and architectural systems and optimization techniques which determine the development of cloud gaming systems. GeForce NOW and Xbox Cloud Gaming together with PlayStation Plus Premium provide their users with online gaming services which deliver end-to-end latency times that range from 45 milliseconds to 85 milliseconds during optimal conditions while local gaming systems maintain 8 to 15 millisecond latency times. The combination of edge computing and adaptive bitrate streaming together with GPU virtualization and predictive rendering technologies creates an enhanced Quality of Experience (QoE) system which still suffers from network limitations and propagation delay issues. The research study demonstrates that operational expenses for each user per hour range between $0.83 and $1.38 which creates financial challenges for the subscription model that Google Stadia used before its 2023 shutdown. Existing technologies enable cloud gaming systems to function yet their financial sustainability requires specific infrastructure elements to be in place. Research should concentrate on developing ultra-low-latency networking technology together with AI-driven optimization and energy-efficient rendering methods and integrated business strategies which utilize ecosystem resources to enhance long-term growth capacity. In addition, the study evaluates architectural trade-offs between centralized cloud data centers and distributed edge nodes, highlighting how proximity-based deployment models can reduce jitter and packet loss while increasing infrastructure complexity and capital expenditure. Comparative analysis across commercial platforms and experimental prototypes indicates that hybrid cloud-edge frameworks combined with machine learning–based traffic prediction can improve bandwidth utilization and session stability under fluctuating network conditions. The findings emphasize that future scalability will depend not only on technical optimization but also on regulatory frameworks, regional broadband penetration, carbon efficiency metrics, and cross-platform interoperability standards that shape adoption patterns in emerging and developed markets alike.
Cloud Gaming, Latency Optimization, Edge Computing, Adaptive Streaming, Games-as-a-Service, GPU Virtualization, Network Infrastructure, Predictive Rendering, Hybrid Cloud Architecture, Quality of Experience (QoE), Bandwidth Management, Energy-Efficient Computing, Distributed Systems
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