An artificial neural network (ANN) is firstly applied to CO2 hydrogenation catalyst design. CO2 catalytic hydrogenation activity is represented as a function of the catalyst composition and reaction condition. After training, the network can predict CO2 catalytic hydrogenation activity and design CO2 hydrogenation catalyst successfully. The estimated results are in good agreement with the experimentally observed ones.