Artificial intelligence and automation of design processes in construction: a bibliometric analysis
https://doi.org/10.22227/1997-0935.2025.3.440-455
Abstract
Introduction. The development of artificial intelligence technologies in the construction sector is uneven; however, but the potential of AI/ML technologies in this field is enormous. The aim of the research is to conduct a bibliometric analysis of scientific publications on the development of artificial intelligence and automation technologies in construction design. The novelty of the research lies in a comprehensive analysis of AI research trends and dynamics in construction based on an extensive specimen of scientific publications. The practical significance consists in identifying promising areas for the application of AI/ML technologies for the development of innovations and optimization of processes in the construction industry.
Materials and methods. 16,819 scientific papers published between 1955 and 2023, indexed on the OpenAlex platform, were analyzed. The specimen was selected based on search queries related to artificial intelligence in construction in general, as well as in specific areas: BIM modelling, generative design, and digital twins. Methods of bibliometric analysis and statistical analysis were used, and research clustering was performed using VOSviewer 1.6.20.
Results. Research on the application of artificial intelligence capabilities in construction received an active impetus for development after 2020. The areas of “digital twins” and BIM technologies are just beginning to be considered from the perspective of AI/ML technology capabilities, while generative design is developing faster due to an earlier start of research. Key countries, universities, and thematic clusters in each direction were identified.
Conclusions. The research results show promising areas for the application of AI/ML technologies in the construction field. Further research on “digital twins”, BIM modelling, and generative design can contribute to the development of innovations and the improvement of design, construction, and facility management processes.
About the Authors
D. V. Slepushkin
Moscow Innovation University
Russian Federation
Russian Federation
Dmitrii V. Slepushkin — postgraduate student
10 Krasnobogatyrskaya st., Moscow, 107564
RSCI AuthorID: 1260200
D. Yu. Burlov
Moscow Financial and Industrial University “Synergy”
Russian Federation
Russian Federation
Dmitrii Yu. Burlov — Candidate of Economic Sciences, Associate Professor
80 B, Leningradsky prospekt, Moscow, 125315
RSCI AuthorID: 282537
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Review
For citations:
Slepushkin D.V., Burlov D.Yu. Artificial intelligence and automation of design processes in construction: a bibliometric analysis. Vestnik MGSU. 2025;20(3):440-455. (In Russ.) https://doi.org/10.22227/1997-0935.2025.3.440-455
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