Digital transformation driven by AI and IoT is reshaping transport systems and challenging traditional management frameworks. In this study is evaluated the effectiveness of innovation strategies through a system of composite indices. Using the secondary data from the European Commission JRC, Eurostat and Precedence Research, the economic modelling is applied - including a multilevel CAGR decomposition with logarithmic representation - to examine growth rates and structural coefficients. The Smart Transport sector (CAGR 15.3%) grows three times faster than the traditional ITS market (5.1%) and is projected to reach €219.98 billion by 2028. Recommendations include diversifying investment sectors, raising R&D intensity, and integrating innovative management practices. Future research should focus on longitudinal monitoring of R&D transformation into practical transport innovations.
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Taghiyev et al. (2026) studied this question.
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