The future of building information modeling – a systematic literature review using artificial intelligence

BIM is the basis for arriving at the idea of the digital twin, which in turn brings the construction industry closer to the concept of the circular economy. BIM enters into fusion with GIS, IoT, ML and uses artificial intelligence methods. Research to date has repeatedly mapped BIM in different contexts. In systematic reviews, researchers have analyzed the current state of knowledge and/or techniques. An identified research gap is the lack of a systematic review that maps publications on the future of BIM. Hence, the aim of this thesis was to conduct a broad systematic review of available predictions of BIM development and directions for future BIM research. Artificial intelligence tools – dimension.ai and ChatGPT4 – were used to support this aim. The VosViewer tool was used in the mapping. The paper presents the current and future challenges facing the AECOO industry. A prediction was also made about the development of BIM in the coming years