This research provides a critical analysis of the available literature on digital manufacturing in the context of Industry 5.0 from a global perspective based on empirical evidence. The aim is to study the patterns of the diffusion and implementation of digital manufacturing technologies and their effects in various world areas and industries. Objectives consist of understanding the variations of adoption rates, approaches, and results by the geographical areas and sectors, as well as the future trends and the tangible effects on KPIs. The problem statement is relevant to a dearth of cross-country research that can help strategize the use of digital manufacturing for the enhancement of Industry 5.0 era. The paper also examines how global generative AI adoption in digital manufacturing affects productivity, innovation cycles, and customization across industries and economies. The research method used is quantitative data obtained from global indices and databases and uses SPSS for statistical analysis. It covers a broad spectrum of digital manufacturing elements such as generative AI, AM, IoT, and CPS to determine local and global best practices, challenges, and opportunities. The research ends with a discussion on the prospects of digital manufacturing in creating innovations, competitiveness, and sustainable economic development to provide directions for future research and policy approaches for further development of the field of digital manufacturing at the international level.