Introduction <p>Insomnia is recognized as one of the major sleep disorders, with a growing prevalence rate worldwide, exerting various effects on individuals’ physical and mental health. This disorder is characterized by difficulties in falling asleep, restless sleep, and staying awake for extended periods during the night. Insomnia among young adults, particularly students, is of special concern.</p> Methods <p>In this paper, we analyzed previous studies from multiple perspectives to draw a comprehensive conclusion. These researches were categorized according to various aspects, including the target population, geographical location, and study year. In addition, the factors influencing insomnia, as reported in each study, were extracted. Furthermore, the tools used for data collection and analysis in these studies were reviewed. These tools included questionnaires and methods of data analysis. The role of data analysis methods is crucial, and thus, the evolution of these tools has been examined in this research.</p> Results <p>This review study highlights anxiety, depression, and stress as the most frequently reported risk factors linked to insomnia among students. These factors were identified as the most significant based on how often they appeared across previous studies, with prevalence rates of 32%, 26%, and 20%, respectively. In addition, poor sleep hygiene and Internet addiction are the next most important factors among students. The findings further indicate a growing reliance on machine learning techniques for analyzing insomnia-related data, with a noticeable shift toward more advanced approaches like ensemble methods.</p> Conclusion <p>These Findings can help develop effective strategies to improve students’ sleep quality.</p>