It is generally accepted that blood platelet plays a critical function during aging, while some bio-markers were reported indicative to age. Herein, we present a global analysis of platelet proteins towards 45 normal samples, 18 males and 27 females, whose ages span from 22 to 64 years old. The platelets were well prepared, and the corresponding proteins were extracted followed by a completely tryptic digestion. The digested peptides were delivered to Q Exactive™ HF hybrid quadrupole-orbitrap™ mass spectrometer, and the acquired MS/MS signals were treated with Spectronaut for protein identification and quantification. The total of 3703 platelet proteins identified and quantified were divided into three groups on basis of principal component analysis. Intriguingly, the groups contained the samples with clear cut-off of age, 22-34 (young), 35-54 (middle) and 55-64 (old), respectively. Of these proteins, 417 proteins were found their abundance as age-dependent, and were further hierarchically divided to four clusters, in which the samples in cluster 1 and 4 belonged to young group, while that in cluster 2 and 3 fit in old group. The cluster analysis demonstrated some platelet proteins closely associated with aging. Pathway enrichment to all the age-dependent proteins revealed a wide functional categories, while their functions or pathways were reported as age-involvement, such as vesicle-mediated transport, oxidative phosphorylation, Parkinson disease, and Huntington disease. Besides, with multivariate analysis several proteins could be defined a proteins panel that clearly indicated age.