The article provides a comprehensive analysis of the digital transformation of the transport and logistics complex (TLC) of Kazakhstan. The purpose of the study is to assess the impact of Intelligent Transportation Systems (ITS), Big Data, IoT, blockchain, artificial intelligence and cloud services on Kazakhstan's transport and logistics sector, identify key barriers and develop practical recommendations to accelerate the transformation. The study applied systematic analysis, comparative-analytical, correlation-regression, economic evaluation and SWOT-analysis methods. As a result: Kazakhstan's reliable LPI leadership position in the CAC region was confirmed; the correlation r=0.94 between GCI and LPI confirms the direct impact of IT investments; via SWOT-matrix, 5 strengths, 5 weaknesses, 5 opportunities and 5 threats of the industry were systematized; 6 major barrier categories were identified with proposed solutions; a conceptual model of the 'Innovative Development' technological platform and a phased roadmap for 2025–2030+ were synthesized.

digital transformation, transport and logistics complex, intelligent transport, Big Data, IoT, performance index, SWOT-analysis.