It has been proven that the architecture, engineering and construction (AEC) industry is rapidly evolving and emerging with contemporary technologies. It is observed that numerous scientific researches and conceptual theoretical models have been designed and implemented to assess the importance of these technologies in order to optimize the quality and performance of construction projects based on building information modeling. At the same time, a systems approach to building information modeling and information and communication technology (ICT) should be well recognized and documented in terms of clarifying the current and future achievements with the implementation of building information modeling in the architecture, engineering and construction industry. In this paper, firstly, a comprehensive review of authoritative articles, considering the database of journal articles and conferences, is conducted to examine the contribution of building information modeling and related technologies in the construction industry. Second, the impact of machine learning in the construction industry is highlighted. Third, however, it was found that the relationship between the AEC industry and machine learning is not yet mature because it is mostly implemented in the construction phase. This study suggests developing a BIM adoption framework for older buildings, integrating advanced technologies with BIM, validating BIM-based models and processes, developing an integrated platform for effective collaboration, implementing national guidelines and policies, and developing the BIM community. Further research needs to be conducted and will continue to address the identified gaps related to BIM adoption in general and BIM legacy for existing building facilities in particular.