Segmentace členských států EU na základě vývoje elektromobility

This bachelor’s thesis examines the segmentation of European Union (EU) member states based on the development of electromobility. The main objective of the thesis is to identify market segments in individual years and subsequently analyze their dynamics and evolution over time. The thesis is based on secondary data from the EU statistical office Eurostat and the European Alternative Fuels Observatory. To achieve this objective, the non-hierarchical K-means clustering algorithm is used. Using this algorithm, countries are classified into three segments based on centroid values: Leaders, Advanced, and Laggards. The analytical section is divided into two separate segmentation analyses. The first examines progress in the electrification of the vehicle fleet in terms of both individual and public transportation. The second focuses on technological advancement and the availability of charging infrastructure. The results of the analysis suggest that, since 2020—when data became available for both regions under review—Western European countries, and especially the Nordic nations, have shown dominance in terms of fleet electrification. However, when it comes to charging infrastructure, these countries lag significantly behind in the indicators examined. The pace of charging network construction in these countries lags behind the rapid growth in the number of electric vehicles. This is reflected in their relatively lower installed capacity compared to the total number of electric vehicles. Trends over time show relatively frequent changes in the segment classification of countries. The results also point to a general trend in which only a limited number of countries are in segments with higher values for the monitored indicators. These countries, however, significantly influence the average values for the entire EU.