Single-cell analysis approaches are reshaping modern biological research. Single-cell analysis techniques divulge cellular heterogeneity, differentiation, and repair mechanisms at a single-cell level unlike bulk homogenous mixture analysis that obscure complex details. Single-cell analysis can reveal cellular pathway involved in cell, tissue, and organ repair. Regenerative medicine (RM) is a promising field in medical research. RM holds the potential to repair, replace, and regenerate damaged or worn-out cells, tissues, and organs to restore their normal function. Single-cell analysis techniques (genomics, transcriptomics, epigenomics, proteomics, metabolomics, and multi-omics) reveal individual cell profile at high resolution. This chapter aims to provide different single-cell techniques utilized in the regenerative medicine field. Moreover, the chapter also provides comprehensive computational methods and tools to analyze large datasets obtained by single-cell techniques. Additionally, this chapter also covers the applications of single-cell techniques in RM. To conclude, it discusses the current bottlenecks and future perspectives in single-cell analysis techniques in RM.