Abstract
This study focuses on Kazakhstan's place in the global digital economy and offers a machine learning-based framework for evaluating preparedness for digital adaptation. To categories countries into three maturity groups—Digital Leaders, Transition Economies, and Digital Late Adopters. This study used principal component analysis (PCA) and K-Means clustering on a synthesized dataset of digital transformation proxies, which included mobile penetration, broadband access, e-government development, and innovation scores. Kazakhstan was regularly classified as a Transition Economy, suggesting moderate advancement in policy innovation and digital infrastructure. The results of this study are encouraging, with a 69% accurate Decision Tree classifier with high precision in identifying Digital Leaders, which was developed to predict readiness class with GDP. However, its susceptibility to distinguishing middle- and lower-tier economies implies the sophistication of digital transformation beyond economic stature. These results offer a data-driven path for moving Kazakhstan closer to digital maturity through focused investments, structural reforms, and insightful information on Kazakhstan's strategic location.