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\nin both manufacturing and autonomous vehicle industries by exploring both its key benefits and\ninherent challenges. It outlines how edge computing reduces latency, minimizes bandwidth\ndemands, and enhances data privacy by enabling processing directly on-site or in-vehicle. The\nresearch 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\nhurdles, including edge node scalability, system interoperability, network reliability, resource\nlimitations, and security vulnerabilities. By combining real-world industry scenarios and\ncomparative analysis, the study offers strategic insights into optimizing edge computing\ndeployments to drive efficiency, reliability, and responsiveness in mission-critical environments.