Abstract: Prediction on tunnel water inflow is a critical factor for ensuring the safety, progress, and stability of tunnel construction, as well as for addressing issues related to personnel safety.Numerous prediction methods have been proposed by scholars both domestically and internationally; however, each method is subject to specific conditions to obtain optimal applicability.The accurate selection of an appropriate prediction method based on the hydrogeological conditions of the tunnel is essential for improving prediction accuracy.This paper presents a systematic review and analysis of various prediction methods for tunnel water inflow, including analytical formulas, empirical formulas, numerical methods, and stochastic mathematical model methods.Through a comprehensive examination of the fundamental principles and applicable conditions of these methods, the paper highlights the limitations of current water inflow prediction techniques and discusses potential directions for their improvement.The findings indicate that while analytical formula methods are straightforward to apply, they often result in significant deviations.Empirical formula methods derived from analysis of engineering cases are most suitable for predicting water inflow in scenarios with similar hydrogeological conditions.Numerical methods can predict water inflow under complex hydrogeological conditions using mathematical models, but these methods require high-quality hydrogeological parameters from the survey and design phases.Stochastic mathematical model methods, although promising, demand extensive datasets to ensure the accuracy of predictions.Furthermore, other methods such as those relying on Geographic Information Systems(GIS),isotope analysis, and other advanced techniques, require substantial data support and detailed underground exploration results to accurately assess groundwater volume and flow paths.The findings of this review provide valuable insights for selecting the most appropriate prediction method based on the specific requirements of practical engineering applications.