Single-cell multiomics, involving various biological techniques for multifaceted analysis and research on a single cell to generate more comprehensive and accurate single-cell datasets, includes single-cell genomics, single-cell transcriptomics, single-cell proteomics, single-cell epigenetics, etc. Single-cell multiomics technology provides a more precise way to comprehend the complex cell types and functions, particularly for the more specialised cell types within the heterogeneous cell populations, such as stem cells or rare cancer cells, which have very important application value. By integrating information from different technologies, single-cell multiomics can more accurately characterise the state and changes of a single cell during multiple life events and processes, providing a more comprehensive and in-depth perspective for life science research. This article provides a systematic overview of the current representative single-cell multiomics technologies and summarizes their important application and potential in biological research.