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The study seeks to illustrate the most current trends in digital library research via the use of scientometrics. The study of scientific networks is important in many scientific domains. A social network with many nodes and connections serves as the foundation for scientific network research. Nodes include authors, publications, and journals, while linkages include citations, cocitations, and coauthorship. Data was collected from the Scopus abstracting and citation database for the period of ten years from 2012 to 2021. The most relevant 1957 documents were chosen from the collection, and selected documents were analyzed using Biblioshny and VOSviewer. The research showed that digital library productivity is rising annually, the United States of America dominates the production of scholarly production on digital libraries, and research is increasingly focused on digital resource and digital collection development. However, artificial intelligence, deep learning, machine learning, big data, and other related areas of study have emerged as the most recent research trends in digital library research. The outcomes of this study will aid digital library research by providing up-to-date and reliable research information.