Urgency of the research. The predictive value of the industry Park electrical products largely determines the market prospects of the production and sales of electrotechnical companies. Target setting. Market characteristics electrical products are largely connected with the current and future needs, the dimensions of which are determined by the fleet of products in service. Actual scientific researches and issues analysis. Problems of forecasting industry Park of various types of equipment were considered by such scientists as Ilyashenko S. N. [4], Kozicki D. [5], Pererva P. G. [6; 7], Plotnikov V. A. [8], Poberesna N. I. [9], Pogorelov N. I. [10] etc. Uninvestigated parts of general matters defining. Almost no methodological developments in forecasting Park products which do not have independent technological applications, which significantly complicates the formation of market characteristics of the production program of industrial enterprises. The research objective. The purpose of this article is to develop methodological principles of forecasting industry Park electrical products. The statement of basic materials. To predict the size of the industry Park electrical products is proposed by addressing two interrelated challenges: a) prediction of old machinery, automated operation which provide these products; b) determining the growth index of the level of mechanization and automation of the basic types of equipment, i.e. the change in the number of different types of products (ratios of applicability) per piece of equipment. On the basis of statistical processing of variation coefficients of the applicability of the products over a long period of mathematical models for certain types of products, allowing to predict the coefficients of applicability. Conclusions. The proposals of the authors on forecasting industry Park of products on the basis of factors of applicability eliminate labor-intensive method of immediate (direct) account. The research results can be used to form normative and reference materials for marketing research.