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The aim of this research is to develop new theoretical approaches of the formation of IT clusters in order to strengthen of trend of the innovative industrialization and competitiveness of the country. Keeping with the previous literature, this study determines by the novelty of the problem, concerning the formation of IT clusters, which can become a driving force of transformation due to the interaction, improving efficiency and introducing advanced technology. In this research, we used conceptual approach employs the study of different conceptual views of scientists on a specific research object; structured approach involves determination of properties of a whole object by identifying the different relationships; system approach aims to develop research methods and design of complex objects – systems of different types. This study allows to conclude that IT-clusters will be most effective when they evolve naturally, originating under the action of internal forces of consolidation of  innovative, information and communications infrastructure (industrial parks, techno polis, research laboratories and business incubators, formation of soft infrastructure), that can help to find quick, innovative and creative ways to solve problems.

The aim of this resarch is to examine the level of innovative process of national economy and to reveal the essence of the cluster approach and indicators of innovative development. Keeping with the previous literature, the present study is determined by the novelty of the problem, concerning the formation and development of innovative clusters as growth poles, as well as large specifics of problems in the framework of use of innovative potential. The study employs method of monitoring of innovative processes in regions; we use method of rating estimation of innovative competitiveness of the region, based on a complex of indicators characterizing the innovation potential of the region: innovative activity and innovative susceptibility. An analysis was showed that Kazakhstan’s regions have substantial differences in the groups of regions for most of the indicators have presented form a tightly located clusters and in the ratings of innovative susceptibility and innovative activity.