Background: Multidrug-resistant tuberculosis (MDR-TB) is emerging in China. We used a dynamic Markov model to predict the longitudinal trends of MDR-TB in China by 2050, and assess the effects of alternative control measures. Methods Eight states of TB transmission were set up in the Markov model using a hypothetical cohort of 100,000 people. Prevalence of MDR-TB and bacteriological confirmed drug-susceptible TB (DS-TB+) were simulated. MDR-TB was stratified into being treated with the recommended regimen or not. Findings: Under the current China’s TB control conditions, by 2050, prevalence of DS-TB+ could be estimated to decrease to 39 per 100,000 people, a 37·1% reduction from 2019 , whereas MDR-TB would increase by three times to 58/100,000. Furthermore, by the year of 2050, 86·2% of the MDR-TB cases would be left untreated. If the detection rate of MDR-TB could reach 50% or 70% at 5% per year, the decline of MDR-TB prevalence would be 25·9% and 36·2% respectively. If treatment coverage was improved to 70% or 100% by 5% yearly , MDR-TB prevalence in 2050 would gain a reduction of 13·8% and 24·1%, respectively. If both detection rate and treatment coverage could reach 70%, the prevalence of MDR-TB would be reduced to 28/100, 000, a 51·7% reduction by 2050. Interpretation: MDR-TB, especially untreated MDR-TB, would rise rapidly under current MDR-TB control strategies in China. Interventions on promoting effective detection and treatment of MDR-TB are imperative in the fights against MDR-TB epidemics. Funding Statement: The Sweden-China (VR-NSFC) joint project (PI, Biao Xu, 81361138019 and Sven Hoffner, 540-2013-8797). Declaration of Interests: The authors stated: None declared. Ethics Approval Statement: Not required.