Nowadays, supercritical CO2 extraction is highly regarded in industry, and several studies dealing with scale-up calculations aim to facilitate the transition from small scale to large scale. To complete this transition, it would be interesting to be able to predict supercritical CO2 extraction kinetics, which is the aim of this work. A new methodology based on the association of Sovová’s broken and intact cell model and response surface methodology was developed to predict SC-CO2 extraction kinetics from different biomass (Argan kernels, evening primrose, Punica granatum, Camellia sinensis, and dry paprika) at different operating conditions (200–700 bar, 40–60 °C, 0.14–10 kg/h) inside an operating domain. The absolute average relative deviations between the experimental and predicted data ranged from 1.86 to 29.03%, showing satisfactory reliability of this new methodology.