The term entrepreneurial ecosystem emerged in the 1980s and 1990s and stands on the premise that entrepreneurship should be observed and studied through the perspective that incorporates the role of social, cultural and economic forces. A rich entrepreneurial ecosystem has been described as one with a strong entrepreneurial culture and supportive public policies, which leads to the creation of a socio-economic system that supports the creation and growth of new ventures. Policymakers and decision-makers were in need of quantifying the quality of the entrepreneurial ecosystem. Their need led to the development of different metrics and approaches. The first direction proposes using individual indicators. However, contemporary literature suggests that individual indicators cannot measure the complexity of the entrepreneurial ecosystem. As a remedy, multidimensional approaches, such as composite indicators, were proposed. So far, several composite indexes related to entrepreneurship have been proposed, whereas the Global Entrepreneurship Index (GEI) stands out for its methodology and continued publication. The research question of this study is how countries can be segmented based on the quality of the entrepreneurial ecosystem measured by the GEI. The statistical analysis used to answer the research question is biclustering, while the specific algorithm is a variant of the Xmotif biclustering. The data on which the analysis was conducted was for the year 2018. It is believed that the obtained results could shed light on two aspects. First, the results could show whether there is a need to collect data for 14 pillars or whether the structure of the GEI can be simplified. Second, the results could yield information on how the observed 137 countries can be grouped. The presented research could act as a driver of further research on composite metrics in the field of entrepreneurship, on the GEI, as well as the application of advanced statistical methods for segmentation analysis.