Bacillus cereus（B.cereus） is a common foodborne opportunistic pathogen， which causes foodborne diseases to seriously affect consumers’ health and social economy. This paper reviews the research progress on prediction models and its application in risk assessment of B.cereus contamination in food at home and abroad， and summarizes the factors， food categories， production chain， primary and secondary model fitting methods. It is found that the temperature， food ingredients， water activity， pH and so on affect the proliferation of B.cereus， and temperature is the main factor. Animal food and rice and its products were the main food categories. Gompertz model， Logistic model， Baranyi model， Weibull models etc are often used to fit growth or inactivation curves to establish primary models. Quadratic polynomial model and square root model are commonly used to fit the change of growth rate or lag time to establish the secondary model. On this basis， a three-stage model is established by software system. The current risk assessment studies only involve the production or from sales to consumption， and there is no report on the B.cereus prediction model of certain food from raw materialto consumption. The prospect of quantitative risk assessment modeling of B.cereus contamination in food is put forward to provide reference for future research.