The space domain is attracting increasing commercial and military interest, and thus there is an interest from several parties to better understand the actors in this domain, and their interrelations and interdependencies. While there have been several methods proposed for studying separate state space actors, few attempts have been made at quantifying the intricacies of the interrelations between these actors. In this work, we propose a novel approach of modeling the interrelations between state actors in the space domain using social network analysis, based on global space trade data over a 20-year period from the International Trade Centre. We show how this data can be visualized and then utilized for longitudinal studies, demonstrating the dynamic evolution of the global space trade network over time. Although few comparable studies of the space domain have been performed, our results are in agreement with our previous research on space trends, using other quantitative and qualitative methods. Considering the increasingly “congested, contested and competitive” nature of the space domain, and the emergence of an increasingly multipolar space trade landscape, we find that the proposed method can constitute a valuable addition to any space domain analyst’s toolbox.