A scientometric review of building information modeling in project and construction management: trends, networks and emerging research frontiers (2010–2024)

Purpose Building information modeling (BIM) has transformed project and construction management through enhanced collaboration and digital integration. However, challenges persist in standardization, cross-platform compatibility and sustainable design. Existing literature lacks a systematic scientometric analysis focused on BIM'sevolution and emerging frontiers in project and construction management. Such analysis is essential for identifying knowledge gaps, revealing shifting technological integrations and informing future academic and industrial agendas. This study maps the intellectual structure of BIM research from 2010 to 2024, with a focus on thematic trends, collaboration patterns and emerging directions to bridge knowledge gaps and support future advancements in project and construction management. Design/methodology/approach A scientometric review of 534 publications from the Web of Science (2010–2024) was conducted. Bibliometric techniques, CiteSpace and VOSviewer were employed to analyze publication trends, author/institutional collaborations, keyword co-occurrence networks and citation patterns. Future research directions were identified based on keyword co-occurrence and cluster analysis, complemented by a review of highly cited publications. In addition, content analysis was used to interpret the integration of BIM with emerging technologies (e.g. IoT, digital twins) and implementation challenges. Findings BIM research has shifted from foundational 3D/4D modeling to lifecycle management, smart construction and emerging technologies (blockchain, AI, cloud computing). Key clusters include collaborative workflows, sustainability and digital twins. While BIM improves cost control and resource efficiency, critical gaps remain in standardization, interoperability and sustainable design integration. The study identifies under-researched areas, such as BIM-AR/VR synergy and blockchain for data security. Future research may focus on the integration of BIM with digital twin frameworks and advanced data fusion techniques to support lifecycle simulation, real-time decision-making and adaptive control in complex construction environments. Originality/value This study provides a focused scientometric review of BIM research (2010–2024) in the domain of project and construction management. It uniquely explores BIM'sintegration with emerging technologies and offers a structured roadmap for advancing digital transformation in construction.