Uveal melanoma (UM) is an aggressive and lethal tumor in the eye. The complexity and heterogeneity of UM and its microenvironment leads to a lack of strategies for early prevention and treatment of metastases. Single-cell sequencing technologies provide critical insights into deciphering the complexity of intratumor heterogeneity and the microenvironment by enabling genomic, transcriptomic, and epigenetic analysis at the single-cell level. With the help of bioinformatics analysis combined with artificial intelligence algorithms, molecular indicator systems related to prognosis as well as therapeutic targets can be found, which can provide a basis for guiding the selection of clinical treatment plans. However, the single-cell sequencing technology also has certain limitations, such as high sample requirements, expensive and time-consuming sequencing. It is believed that with the improvement of science and technology and the update of analytical methods, these shortcomings can be gradually solved, and this rare tumor will eventually be overcome in the future, and the goal of long-term survival of UM patients will be achieved.