This paper explores the state of multidimensional maturity models in digital transformation, focusing on theoretical foundations, methodological approaches, and practical relevance. A systematic review reveals a persistent reliance on linear, stage-based models that often fail to capture parallel or asynchronous development of organizational capabilities. Although many authors advocate multidimensional perspectives, existing models typically collapse dimensions into aggregate scores, obscuring critical interdependencies. Weighting protocols, especially those tailored to specific industries or strategic goals, remain scarce, risking undervaluation of key transformation aspects and suboptimal resource allocation. Furthermore, empirical rigor of the studies is inconsistent. While some models undergo solid validation, others rest primarily on theoretical arguments, limiting credibility. The review underscores an urgent need for clarity in defining and operationalizing “multidimensionality.” Future research should account for dynamic interactions across dimensions and employ context-sensitive weighting. Ultimately, moving beyond linearity will enable more targeted maturity assessments, offering actionable insights to drive sustainable digital transformation.