Introduction: The training method in the sport of volleyball has undergone significant transformation along with the development of technology and a deeper understanding of athlete performance. The utilization of advanced tools and software such as data-driven training, video analytics, and fitness monitoring applications has opened up new opportunities in designing more targeted and efficient training programs. Objective: This study aims to analyze the mapping and trends of training methods and technological advancements in the sport of volleyball from 2015-2025, using Scopus data, identifying collaborations, research gaps, and future study directions. Methodology: This study uses bibliometric analysis Mapping and trends of training methods and technological advances in volleyball using the Scopus database with the range of 2015-2025. Through the selection process, and analysis according to the criteria, 264 documents with various related themes were obtained. Results: The results of the analysis and research show that 2024 will have the highest number of publications with 35 publications. The most prolific authors and institutions that contributed the most documents came from Brazil, with 37 publications. Conclusions: The trend of publication and research focus on volleyball training methods has increased sharply in the last 10 years. Technologies such as machine learning, wearable tech, and video analysis are starting to be integrated, although not evenly. Database expansion and cross-border collaboration are strongly recommended to support the development of more sophisticated and evidence-based training methods.
Daryono et al. (Thu,) studied this question.