This paper reviews 121 studies on tourism demand modelling and forecasting published since 2000, highlighting the latest methodological developments and emerging trends. The review identifies three main categories of quantitative forecasting techniques: time series models, econometric approaches, and emerging methods such as artificial intelligence (AI) techniques. While newer and more advanced forecasting techniques often show improved forecast accuracy under certain conditions, no single model consistently outperforms others in all situations. The paper also discusses the competition, combination, and integration of forecasts, as well as the handling of seasonality, crisis impact analysis, and risk forecasting. It concludes that while no clear-cut evidence exists for a superior model, efforts to enhance forecast accuracy through combination and integration of methods are encouraged. Additionally, the review notes that seasonality remains a complex issue in tourism demand analysis, with no definitive answer on how to best handle it.This paper reviews 121 studies on tourism demand modelling and forecasting published since 2000, highlighting the latest methodological developments and emerging trends. The review identifies three main categories of quantitative forecasting techniques: time series models, econometric approaches, and emerging methods such as artificial intelligence (AI) techniques. While newer and more advanced forecasting techniques often show improved forecast accuracy under certain conditions, no single model consistently outperforms others in all situations. The paper also discusses the competition, combination, and integration of forecasts, as well as the handling of seasonality, crisis impact analysis, and risk forecasting. It concludes that while no clear-cut evidence exists for a superior model, efforts to enhance forecast accuracy through combination and integration of methods are encouraged. Additionally, the review notes that seasonality remains a complex issue in tourism demand analysis, with no definitive answer on how to best handle it.