The incorporation of Digital Twin (DT) technology into Supply Chain Management (SCM) represents a paradigm shift, offering enhanced efficiency, resilience, and strategic insights for managing global supply networks. This study provides an extensive bibliometric analysis, highlighting key trends, research themes, influential authors, and leading institutions in this dynamic domain. The analysis utilizes a dataset of scholarly publications from 2014 to 2025, sourced from the Scopus database, a reliable repository for academic research. By employing bibliometric techniques such as co-citation analysis, bibliographic coupling, collaboration mapping, and keyword co-occurrence analysis, the study identifies pivotal contributors, prominent institutions, and impactful nations based on citation metrics. The findings offer a comprehensive overview of DT applications in SCM, equipping researchers, practitioners, and policymakers with actionable insights to leverage this technology for optimizing supply chain performance.