Cognitive and behavioral technologies are highly associated with the AECO/FM business, which means that
industrial operations are generally more productive. Given these considerations, the AECO/FM sector incorporates
the BIM platform to further boost productivity and complete construction projects in a safe, timely, and cost-
effective manner. The AECO/FM sector benefits from ideas like artificial intelligence (AI) that provide new and
rapid solutions, even though the BIM platform is compatible with a wide variety of applications and systems. The
primary objective of this research is to identify patterns in the use of AI in building information modeling (BIM)
studies conducted by different academics in different nations. Research on the integration of AI and BIM is
surveyed using a bibliometric search, followed by scientometric analysis and mapping using document-based
citation analysis, country-based citation analysis, and country-based bibliographic coupling analysis. Research on
artificial intelligence (AI) in building information modeling (BIM) has been compiled by screening and analyzing
papers taken from the Scopus database. The findings show that AI in building information modeling is impacted
by decision support systems, genetic algorithms, neural networks, knowledge-based systems, machine learning,
and deep learning. The present state and link between AI and BIM are analyzed and shown in this study, which
adds to the AECO/FM literature. Hence, the results draw attention to the tendencies and voids in research on AI
and BIM, and also suggest avenues for further investigation.