Comparative and Predictive Analysis of Kazakhstan’s Sectoral International Trade

International trade is one of the main aspects of the global economy, which consists of imports and exports. The study presents sectoral analysis of Kazakhstan's trade for the 2011-2021 period, where provided comparative analysis to explore current dynamics, to reveal insights and predictive analysis to make forecasts and understand the future trend. Accordingly, these types of experiment give efforts aimed at analysis and statistics of our country, as well as at diversifying the current state. In the research comparative analysis provided with the help of visualization and statistical analysis, predictive analysis by means of following machine learning models, Linear Regression, Decision Trees, Random Forests, Gradient boosting, Support Vector Regression. In research estimated the use of production and import resources in 8 sectors, mainly in the manufacturing industry. The results show that the highest export requirements are imposed in certain sectors such as mineral products, fuel and energy products, metals and products made from them. Along with the result of the machine learning models' performance and prediction for the next three year.