The present paper carries out a global bibliometric mapping analysis about main growth, trends, and impact that the DL transformative technology has on mathematics between 2010 and 2025. The investigation, supported by Scopus data, describes the evolution of research on DL in mathematics and points out key trends in publications, leading authors, institutions, and countries. The analysis indicates that the significant growth in research on DL, especially after 2015, is due to the advancement of computational power, large datasets, and sophisticated neural network architecture. The findings have highlighted the global nature of research in DL, with substantial contributions from China, the United States, and India. Key research areas include mathematical modeling, optimization, and computational mathematics. That offers a clear viewpoint to researchers, mathematicians, and policymakers alike on how well DL can overcome some of the modern challenges within mathematics and guides the future study of this realm.