Edge computing is emerging as a pivotal technology in enhancing video streaming services by reducing latency and optimizing bandwidth usage. This chapter explores the key roles that edge computing plays in addressing the challenges of delivering high-quality, real-time video content, particularly in remote and bandwidth-constrained regions. Techniques such as edge-based video caching and computation offloading are examined to illustrate how processing closer to end-users can significantly improve video distribution efficiency. By storing popular content at edge nodes and performing computationally intensive tasks such as video encoding and transcoding locally, platforms can reduce the burden on central servers and lower the data transmission load across the network. The chapter also delves into the use of edge computing in geographically remote areas, where traditional cloud infrastructure may struggle to meet performance requirements. Through a detailed analysis of the benefits of edge computing, this chapter demonstrates its critical role in future video streaming architectures, enabling scalable, low-latency content delivery while optimizing costs and enhancing the overall user experience.