This study examines the scientific literature on digital twin technology (DTT) in supply chain management (SCM), utilising bibliometric analysis to investigate the annual publication trend, keyword co‐occurrence, bibliographic coupling and co‐citation regarding foundational themes in SCM, as well as international collaborations. The Scopus dataset is analysed for the period from 2009 to 2024, encompassing a total of 1256 publications, which are analysed using VOSviewer software. This study reviews trends in the application of DTT within SCM, featuring tables, graphs and maps that illustrate key performance metrics for article production. The findings indicate a rising number of publications over the years, with the United States, United Kingdom, Germany and India being the most prolific nations in terms of publishing and collaboration leaders. The most influential keywords related to DTT in SCM include supply chains (SCs), additive manufacturing (AM), 3D printing, digital twin (DT) and sustainability. The authors identify four distinct thematic clusters: AM and SC innovation; shaping parts and service SCs; sustainability and global impact; and DT and Industry 4.0, which are relevant for current and future researchers in this area. The study is useful for researchers, practitioners and policymakers interested in comprehending, implementing and further studying DTT in various sectors of SCM.