Catalytic oxidation is a core technology for treating volatile organic compounds (VOCs) in the industrial sector. The stability and service life of catalysts are important indicators for evaluating the performance of VOCs catalytic oxidation catalysts, directly affecting the safety and economy of actual production processes. This paper expounds on the deactivation mechanism of VOCs catalytic oxidation catalysts; outlines the hazards caused by the deactivation of VOCs catalytic oxidation catalysts to industrial production; and proposes countermeasures to inhibit the deactivation of VOCs catalytic oxidation catalysts based on machine learning methods. The research results can provide references for the material development and structural design of such catalysts.