Background: Endovascular aortic repair (EVAR) of abdominal aortic aneurysms (AAA) requires a very complex and experience-based preoperative planning process, e.g. with respect to stent graft selection and oversizing, which must be individually adapted to the patient-specific circumstances. Objective: In this study it was investigated whether the use of a virtual digital twin could increase objectivity and optimize the experience-based preoperative planning process and hence reduce the method-associated complication risk. Methods: Based on preoperative patient-specific data, realistic AAA and realistic stent graft simulation models of commonly used commercial stent grafts were generated. Subsequently, virtual endovascular AAA repair was used to predict the postoperative configuration of the stent graft and AAA. Different application examples of this process chain are intended to demonstrate the potential benefits of the use of a digital twin in EVAR. Results: The potential applicability and the benefit of a digital twin for optimization of preoperative stent graft selection and sizing as well as for the predictive estimation of the likelihood of complications based on mechanical and geometrical parameters could be exemplarily demonstrated and validated. Conclusion: The good predictive quality makes the digital twin a highly promising planning tool in the preoperative planning phase of endovascular AAA repair with potentially a multitude of application possibilities.