Sodium glycinate solutions have low vapor pressure, low viscosity, and high chemical reactivity with CO2. They have remarkable potential for removal of CO2 from the flue gases, because absorption of CO2 with an amino acid salt solution such as sodium glycinate is accompanied with precipitation. As the liquid phase contains solid compounds during absorption of CO2, the reactions move into the production of various materials and a further amount of CO2 is absorbed. In the current study, a support vector machine algorithm is utilized to predict carbon dioxide solubility in aqueous sodium glycinate solutions over wide ranges of temperature, pressure, and concentration. The proposed model can be of immense value for engineers to have a quick check on the CO2 solubility in sodium glycinate solutions without opting for any experimental works. Results obtained from the model have shown excellent agreement with reported data in the literature.