Hip arthroscopy is a rapidly evolving field for the management of a range of intra- and extra-articular pathologies of the hip. However, it is technically demanding and associated with a steep learning curve, which is reflected by the number of surgeons performing the procedure globally and the variable patient outcomes reported after hip arthroscopy. Advancements in training, radiological assessment, stratification of disease, patient selection, personalised medicine and technological innovations are revolutionising this field and will be critical to enhancing consistently positive patient reported outcomes and satisfaction. Artificial intelligence (AI) and machine learning (ML) models have the potential to enhance patient selection by predicting outcomes based on demographics, imaging and other patient-specific information. Technological advancement including three-dimensional (3D) preoperative planning, dynamic collision analysis models along with precise intra-operative execution models including navigation and robotics show significant promise in improving outcomes following this intervention. Additionally, regenerative therapies including platelet-rich plasma (PRP) and stem cell treatments are also being explored to accelerate healing and enhance postoperative recovery. In training, virtual reality (VR), augmented reality (AR) and digital twins demonstrate significant potential to improve surgical proficiency and accelerate the learning curve. Both prehabilitation and rehabilitation protocols are receiving increasing attention, with a growing shift towards phased-based programmes. While these innovations demonstrate significant promise, further high-quality research is needed to evaluate their short and long-term benefits, cost-effectiveness and impact on patient outcomes, undergoing hip arthroscopy.