We analyse the success of inflation targeting (IT) in decreasing inflation volatility by investigating inflation variance before and after IT. We contribute to the literature by implementing Markov-Switching AutoRegressive Conditional Heteroscedastic methodology to model inflation volatility. After determining the unbiased conditional variances of inflation in each inflation-targeting country, we investigate structural breaks in inflation variability by both analysing individual countries and conducting a panel data analysis. All of these methods conclude that IT helps most of the countries to achieve lower inflation uncertainty (volatility). We also examine the country-specific factors that determine the effectiveness of inflation-targeting adoption.