Organizations involved in the management of large building stocks require high quality data in order to properly manage their assets. Due to more restricted environmental requirements, funding and intervention times, these organizations need to solve inefficiencies and uplift tasks adopting improved digital systems for the management of their assets and related data. Currently, each stakeholder involved adopts its software for specific tasks, with limited data interoperability and standards for data exchange. A comprehensive system which can handle large scale and heterogeneous data is required, but it must be designed to precisely fit the needs of the organization and to overcome current technical limitations. Since BIM and GIS are two IT-based methodologies which can provide data about built assets and related environment, the BIM/GIS integration is investigated through the analysis of over 100 journal and conference papers published in the 2015–2020 period. This analysis reveals categories and sub-categories explored in the current state of art, features that have been satisfied by future BIM-GIS integrated systems and a roadmap for its implementation. The results of the study can support scientists and practitioners in addressing their research interests and implementation activities for leading a digitization of data and information in large building stocks management.