Benefits And Challenges of Edge Computing For Real-Time Data Processing in Manufacturing And Autonomous Vehicles Industries

This study investigates how edge computing can fundamentally improve real-time data processing in both manufacturing and autonomous vehicle industries by exploring both its key benefits and inherent challenges. It outlines how edge computing reduces latency, minimizes bandwidth demands, and enhances data privacy by enabling processing directly on-site or in-vehicle. The research examines use cases such as predictive maintenance in smart factories and rapid decisionmaking in autonomous navigation. At the same time, it addresses the technological and operational hurdles, including edge node scalability, system interoperability, network reliability, resource limitations, and security vulnerabilities. By combining real-world industry scenarios and comparative analysis, the study offers strategic insights into optimizing edge computing deployments to drive efficiency, reliability, and responsiveness in mission-critical environments.