Abstract Background Cardiac involvement represents the main cause of death in patients with Fabry disease (FD). Echocardiography and Cardiac Magnetic Resonance (CMR) have an established diagnostic role, but their prognostic value remains unresolved. This systematic review and meta-analysis sought to assess the prognostic implications of imaging parameters in FD. Methods PubMed, ClinicalTrials.gov, Embase and Cochrane Library databases were searched for studies published from inception through to October 1, 2023. Full-length original papers including FD patients undergoing baseline imaging assessment and clinical follow-up were selected. Pre-defined study outcomes were a cardiovascular endpoint and a composite clinical endpoint. A meta-analysis of the studies investigating the effect of single imaging parameters on a pre-specified cardiovascular endpoint and a separate analysis on a pre-specified composite clinical endpoint were performed to obtain the pooled estimates for the association between the imaging parameters and the study outcome. The study protocol was registered in PROSPERO. Results Thirteen studies including 1,399 FD patients (44.8% males) were selected. At pooled analysis, late gadolinium enhancement (HR 4.39; 95% CI 2.5-7.71), left atrium volume indexed (HR 1.02 per ml/m2; 95% CI 1.01-1.04), E/e’ (HR 1.14 per unit increase; 95% CI 1.08-1.21), left ventricular (LV) mass indexed (HR 1.014 per mg/m2; 95% CI 1.006-1.023), maximum LV wall thickness (HR 1.19 per mm, 95% CI 1.04-1.36), LV-global longitudinal strain (HR 1.2 per unit increase; 95% CI 1.2-1.27), were significantly associated with the cardiovascular endpoint, whereas T1-mapping (p=0.115) and LV-ejection fraction (p=0.305) were not. T1-mapping was associated with the composite endpoint (HR 0.986 per msec increase; 95% CI 0.976-0.997). Meta-regression analysis did not show any significant interaction between each of the potential effect modifiers. Conclusion This meta-analysis demonstrates a robust prognostic value regarding several imaging parameters in FD, specifically indexes of LV mass and wall thickness, diastolic dysfunction, LV-GLS, and LGE presence. These findings support multimodality cardiovascular imaging, including CMR, in FD disease patients to predict long-term prognosis and call for longitudinal multicentre studies to develop multi-modality-imaging derived risk-score algorithms.