This study analyses current and future areas favourable to the conservation of Xylopia aethiopica in the Guineo-Congolese region of Benin, taking climate change into account up to 2055. The study used a total of 1201 Xylopia aethiopica occurrence points combined with current and future climate variables of the study area. The Maximum Entropy (MaxEnt), Random Forest (RF), Boosted Regression Trees (BRT), Generalized Additive Model (GAM) and Generalized Linear Model (GLM) algorithms were used, based on the RCP 4.5 and RCP 8.5 scenarios up to 2055. The AUC, TSS, correlation and deviance tests have shown the performance and the strong predictive capacity of the models. The environmental variables that contributed the most to the models were soil and In_Wat. Current climatic conditions indicate that 93.85% of the Guineo-Congolese region of Benin is less favourable for the conservation of Xylopia aethiopica. Forecasts for 2055 (RCP 4.5 and RCP 8.5) indicate that climatic conditions will contribute to an increase of moderately favourable and highly favourable habitats of Xylopia aethiopica, to the disadvantage of less favourable habitats, which will decline in the Guineo-Congolese region of Benin. The results obtained from this study show that consideration of the phytogeographical districts of the Guineo-Congolese region of Benin is crucial in policies for the protection and conservation of Xylopia aethiopica in Benin.