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Formation of cyber-physical models in the economy is perceived as an imperative and the objective reality. However, the issues of developing scientific and methodological support for projects aimed at creating digital business models, namely, economic algorithms for their evaluation, are currently unsolved. The purpose of the study is to work out a system of indicators for assessing the impact of industry 4.0 technologies on economic growth, and further verification of the performance. The empirical base for the study is the reporting documents of the largest national carrier — Russian Railways Holding. The research methods include a descriptive diagnostics, statistic data structuring, a correlation analysis of data, a comparative analysis, and others. The results: the author proposes a system of statistic indicators for assessing the impact of industry 4.0 digital technologies on economic growth parameters, and makes an assessment of these indicators in Russian Railways Holding. Conclusion: investing in a digital business model enhances economic growth, increases marginalization via electronic channels and other means of interaction with the consumer, and provides for optimizing operating costs.

Assessment of the Impact of Industry 4.0 Technologies on the Economic Growth of the Russian Segment of Rail Transportation