Recent research in Game Theory-based Pricing and Capacity Planning in Cloud Computing focuses on developing intelligent economic models that balance profit maximization for providers with fair pricing and optimal resource utilization for users. Game-theoretic approaches such as Stackelberg, Nash equilibrium, and cooperative games are widely applied to model strategic interactions between cloud providers and consumers, enabling adaptive pricing mechanisms and efficient capacity management under dynamic demand conditions. These studies integrate multi-objective optimization, demand prediction, and energy efficiency to design equilibrium-driven frameworks that ensure cost-effectiveness, service quality, and sustainable cloud operations.