Extracellular vesicles (EVs) actively participate in intercellular communication and pathological processes. Studying the molecular signatures of EVs is the key to reveal their biological functions and clinical values, which, however, is greatly hindered by their sub-100-nm dimensions, the low quantities of biomolecules each EV carries, and the large population heterogeneity. Here, we report the single-EV Flow Cytometry Analysis technique that realizes single EV counting and phenotyping in a conventional flow cytometer for the first time, enabled by Target-Initiated Engineering (TIE) of DNA nanostructures on each EV. By illuminating multiple markers on single EVs, we reveal statistically significant differences among the molecular signatures of EVs originated from several breast cancer cell lines, and successfully recognize the cancer cell-derived EVs among the heterogeneous EV populations. Thus, our approach holds great potential for various biological and biomedical applications.