The Metaverse, a virtual shared world that combines digital and physical realities, is gaining traction in the engineering industry due to its immersive and collaborative surroundings. This confluence has transformative potential, enabling engineers to conceive, simulate, and test projects more efficiently, stimulating creativity and increasing productivity. One significant use is the integration of digital twins—virtual versions of physical things or systems—within the Metaverse, which allows for real-time monitoring, predictive maintenance, and operational performance improvement, resulting in cost savings. Furthermore, the Metaverse improves remote collaboration by allowing engineers to connect seamlessly regardless of location, resulting in better global teamwork and reduced trip costs. Artificial intelligence expands the Metaverse's potential by providing enhanced analytics, automation, and prediction capabilities. AI-powered models can optimize virtual simulations, forecast system breakdowns, and design adaptive environments that respond dynamically to user inputs. However, problems persist, including the tremendous computational power and advanced hardware required, as well as fundamental issues about data privacy, security, and the digital divide, which limits access to this technology. This study review focuses on the Metaverse's role in revolutionizing engineering processes, emphasizing the importance of multidisciplinary research and advances in AI and Metaverse technologies in overcoming these challenges and realizing the full potential of this growing digital frontier.