We have identified and selected the patent-market parameters of pharmaceutical innovations. An algorithm for comparing innovative and technological characteristics of pharmaceutical products using data-mining technologies (association search, classification and clustering of data) is proposed. We suggested using the distance of the object characteristic to the cluster center as the main distinguishing mathematical parameter of objects with a similar consumer purpose. The method can be successfully applied as a tool to support decision-making that requires a comparative assessment of the commercial potential of innovative products of industrial enterprises in the high-tech sector.