This study provides an in-depth analysis of the current status of the promotion and application of BIM software in China, highlighting its differences from the international market. Chinese BIM software shows advantages in data security, cost-effectiveness, user habit adaptability, and localization standards, but faces challenges in terms of technological maturity and ecosystem development. By employing bibliometric methods and utilizing literature resources from CNKI and the Web of Science, the study offers a comprehensive analysis of the market and policy environment and proposes targeted recommendations. The study indicates that Chinese BIM software has significant advantages in enhancing data security and cost-effectiveness but lacks technological maturity and requires improvements in ecosystem development. User habits are crucial for the promotion of BIM software, and the localization and adaptability of the software need further enhancement. To promote the widespread application of BIM in the architecture, engineering, and construction (AEC) industries, a robust market mechanism needs to be established. The government should strengthen policy support and improve regulatory frameworks; software developers should enhance product functionality and work closely with users; and application enterprises should actively provide feedback to promote software improvements. Moreover, the introduction of reasonable capital and the collaboration between educational institutions and enterprises to cultivate professional talent are critical for the promotion and application of BIM technology. The research emphasizes that forming a cross-departmental joint mechanism to promote a virtuous cycle in the AEC market is key to achieving the widespread application of BIM technology. These measures can provide strong market impetus for the development of BIM software, accelerate the maturity and ecosystem construction of Chinese BIM software, and ultimately realize the comprehensive upgrading of informatization and digitization in the construction industry.

The As-built Building Information Model (BIM) serves as a carrier of lifecycle information for the physical building and is a critical component of project handover. Despite the issuance of numerous delivery standards globally, efficient methods for reviewing information completeness remain insufficient, hindering the timely and effective delivery of project information. To address this gap, this research employs ontology technology as its core to develop a method for reviewing information completeness in as-built architectural engineering BIMs. An ontological model is constructed using Protégé, Semantic Web Rule Language (SWRL) rules for Completeness Review are defined, and a Revit data extraction add-in is developed to store model data in a database and map it to an ontological knowledge base. An integrated review system for As-built BIM information completeness is subsequently built. This system automates the entire review workflow, encompassing data import, semantic conversion, rule-based reasoning, and result output. Validated through a teaching building case study, the system successfully and accurately identified missing attributes and documents within the model, demonstrating high accuracy and review efficiency. The proposed method and its accompanying review system provide a scalable, rule-driven solution for ensuring BIM integrity, effectively supporting digital delivery in the architecture, engineering, and construction (AEC) industry.