Organizational and economic aspects of clustering in the agricultural machinery market under Ukraine’s european integration

Introduction. The agricultural machinery market constitutes one of the key segments of the agro-industrial complex, as its development directly determines the level of technological efficiency of agricultural production, labour productivity, and the competitiveness of the agrarian sector in both domestic and international markets. An important direction of such optimization is clustering – an innovative form of organizing production and market interaction based on the integration of machinery manufacturers, research institutes, service companies, dealers, and end users into a unified system of cooperation. This model enhances cooperation, supports knowledge and technology exchange, reduces transaction costs, and stimulates the development of domestic production of technical equipment. Methodology. The study applies a systemic approach that allows examining the clustering of the agricultural machinery market as a holistic phenomenon, taking into account economic, organizational, and institutional factors. Comparative analysis was used to juxtapose European and Ukrainian experiences in cluster development. The abstract–logical method was applied to formulate theoretical concepts and the conceptual foundations of clustering. In addition, structural–functional analysis was used to determine the role of clusters in strengthening the competitiveness of Ukraine’s agricultural machinery market. Results. The research substantiates that clustering is an effective tool for enhancing the competitiveness of Ukraine’s agricultural machinery market under the conditions of European integration. It was identified that cluster formation contributes to the optimization of production and logistics processes, cost reduction, and intensification of innovation activity. The findings demonstrate that integration of enterprises into clusters enables more efficient attraction of investment and international financial resources. Furthermore, it is established that successful implementation of the cluster model requires strengthened institutional support and alignment with EU policies in the field of agricultural engineering.