New advances in mass spectrometry-based proteomics technology are having amajor impact on our understanding of how human spermatozoa acquire their capacity for fertilization. A complete analysis of the proteins found in the human spermatozoa is essential for understanding the events leading up to, and including, fertilization and early embryo development. In this short review, we have collected the human sperm proteome from the literature and analyzed it by the Database for Annotation, Visualization and Integrated Discovery (DAVID) software. Bioinformatics analysis demonstrated that the collected 1,300 proteins were involved in various metabolic pathways including catabolic processes. Additionally, the majority of the collected human sperm proteome belonged to cytoplasm. Application of the multi-dimensional protein identification technology (MudPIT) for obtaining a better coverage of the hydrophobic and basic proteins of the human sperm proteome is recommended.