Industry 4.0 is on the path to becoming the common language of global manufacturing by combining existing and upcoming technology to address modern production challenges. Its successful implementation, however, depends on developing common industry standards, which necessitates worldwide collaboration and a comprehensive approach. Standardized technical frameworks are required for integrating disparate industries and businesses into a single, flawlessly integrated network. Modern technologies such as cyber-physical systems, digital twin, internet of things, robotics, additive manufacturing and artificial intelligence have fueled smart manufacturing's rapid progress. Integrating cyber-physical systems is crucial to this transition, and manufacturers increasingly embrace it. Among the various technologies driving this integration, Cyber-physical systems and Digital Twins stand out, having sparked widespread interest across academia and industry. CPS and DTs improve industrial system intelligence, efficiency, and flexibility by utilizing feedback loops in which digital components respond to and influence physical processes. Although they share fundamental ideas, including tight cyber-physical connectivity, real-time interaction, organizational integration, and collaborative operation, CPS and DTs differ in several ways. These include their developmental paths, engineering applications, underlying technologies, mapping approaches, and critical components. This paper aims to investigate these differences and offer a more transparent, more comprehensive understanding of CPS and DT.