Background: Running is practiced worldwide, but more than 50 % of runners suffer some form of musculoskeletal injury each year. Biomechanics of running is an important aspect of sports medicine and gait analysis is central in the study of running mechanics for prevention of injuries and enhancing performance. Objectives: The purpose of this systematic literature review is to Saragiotto et al. (2014 Apr 4) 1 assess the methods employed in conducting gait analysis studies from 2020 to 2024, 2 discuss spatiotemporal characteristics, bilateral asymmetry, and RRI, (Lenhart et al., 2014 Mar) 3 present wearable technology, and (Willson et al., 2014) 4 provide recommendations for future research and application based on the findings. Methods: The study was conducted following the PRISMA guidelines and was registered in the PROSPERO database under the number CRD42024572642. The systematic search of articles was performed in the Scopus database, considering the articles written in English and published in journals between 2004 and 2024, which are focused on the analysis of running gait. Data were collected, pre-processed, and processed according to certain inclusion and exclusion criteria. Results: Of 2175 articles, only 43 studies were included. The studies were mainly concerned with spatiotemporal features (Patino and Ferreira, 2018) ,16 gait asymmetry and injuries (Crowther et al., 2007 Jun 1) ,9 biomechanics (Mason et al., 2023 Sep 1) ,8 and gait measurement tools (Schubert et al., 2014 May 1) .10 IMUs, accelerometers, and pressure sensors were established as wearable technologies that can be used to monitor gait in the sports setting. Conclusion: In this review, we discuss the latest developments in wearable technology for gait analysis, which can be considered a viable alternative to laboratory-based methods. However, the need to use standard methods and validation procedures has not lost its importance as it is crucial for the practical application of these technologies. Protocol: Registration number CRD42024572642.