MACHINES AND MECHANISMS

Integration of artificial intelligence and cyber-physical systems in adaptive automation of construction processes: an empirical analysis of efficiency

Authors

  • Pavel V. Zakharov Bauman Moscow State Technical University
  • Mikhail A. Basarab Bauman Moscow State Technical University

How to cite

GOST Zakharov P. V., Basarab M. A. Integration of artificial intelligence and cyber-physical systems in adaptive automation of construction processes: an empirical analysis of efficiency // STROITEL'NYE I DOROZHNYE MASHINY. 2025. Vol. 69. No. 7. P. 59-69.
APA Zakharov, P. V. & Basarab, M. A. (2025). Integration of artificial intelligence and cyber-physical systems in adaptive automation of construction processes: an empirical analysis of efficiency. STROITEL'NYE I DOROZHNYE MASHINY, 69(7), 59-69.

Abstract

The construction industry is facing critical challenges in the areas of productivity, safety and sustainability, requiring the introduction of advanced technological solutions. This study provides an empirical analysis of the integration of artificial intelligence and cyber-physical systems in construction processes based on an analysis of 92% of construction companies using or planning to use AI technologies. The methodological framework includes the analysis of data from global industry research by McKinsey, Boston Consulting Group and Motive Safety Reports covering the period 2022-2024. The results demonstrate the potential to increase construction productivity by up to 20% using AI technologies, automate up to 30% of construction work by 2025, and reduce accidents by 72% with the introduction of computer vision systems. Market analysis shows growth from $3.99 billion in 2024 to $11.85 billion by 2029, with a growth rate of 24.31% per year. The study reveals that 61% of respondents note significant improvements in error detection when using BIM technologies, and 55% observe a significant reduction in decision-making time. The practical significance of the work lies in providing an evidence base to justify investments in intelligent construction technologies and identify priority areas for the digital transformation of the industry.

Keywords

artificial intelligence cyber-physical systems construction automation computer vision predictive analytics BIM construction safety

References

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Published

2025-07-30

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MACHINES AND MECHANISMS

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