A methodology for analyzing the agricultural market has been proposed. The concept of the market model from the standpoint of the dynamic equilibrium of supply and demand is described, a technique based on variational deviations of trends is proposed. Approbation shows the practical usefulness of the results obtained in the analysis and management of the cabbage market. The interrelation between the gross volume and the price of cabbage is established, the gradient and nature of market equilibrium are revealed, and the perspective of the cabbage market in the Russian Federation is described. The proposed analysis methodology considers market modeling as a dynamic equilibrium mechanism of supply and demand, it is a method based on variational deviations of trends. Approbation confirms the practical utility of the results for analyzing and managing the cabbage market. In the course of testing, it was established that the amplitude of price fluctuations with the current increase in gross production characterizes the cabbage market as developing; the market offer of each thousand tons of cabbage can change the price by 0.1416 c.u./t; the cabbage market maximum is at the level of 258 c.u./t at gross harvest of 3,138 thousand tons of cabbage. For the modern stage of development of the cabbage market with increasing production volumes, a decrease in prices is typical. It is shown that there are market relations between gross volume and price of cabbage, market characteristics and equilibrium gradient, which determine the prospects of the Russian cabbage market. The description of the methodology and the presentation of the results of testing the methods of modeling the market perspectives allow us to make optimistic conclusions about the expansion of the scope of application of theoretical economics for practical activities. In this regard, the proposed methodology for analyzing the market (concept, methodology) may be of interest to practicing economists. Despite the simplicity and accessibility of the described methodology, there are a number of issues related to the error of statistical data and unaccounted factors that require further research. Despite the simplicity and accessibility of the described methodology, there are a number of issues related to statistical errors and unaccounted factors that require further research.