The digital revolution and digitisation in the construction sector has improved efficiency, sustainability, and project quality, aligning with European policies on innovation in the AEC sector. The adoption of methodologies and tools such as BIM, GIS, AI, and Digital Twins has transformed how buildings are designed, constructed, and managed. The EU promotes digitisation through regulations to align the approach of European countries and setting standards. Digitisation offers benefits such as reduced errors, optimized material use, and improved site safety through IoT monitoring. However, challenges remain, including interoperability issues, high investment costs, and the need for specialized training. BIM remains central to digitisation in the AEC sector, with growing interest in integrating AI to enhance automation and data management. AI is recognized as a key driver of economic development, but is still in an early phase, facing challenges in application and interoperability. Research highlights AI’s potential in BIM for data analytics, automated geometry processing, and digital representation. Despite its promise, AI in BIM faces technical limitations, including accuracy issues and incomplete automation. The evolving relationship between BIM and AI signals a transitional phase, with increasing publications reflecting its expanding role in architectural engineering. The contribution summarizes the key elements of the topic and emphasizes what can be the actions on which future research can be developed.
Digitisation of Construction: Digital Support in Knowledge, Design and Management Processes
M. Abita
;
2026-01-01
Abstract
The digital revolution and digitisation in the construction sector has improved efficiency, sustainability, and project quality, aligning with European policies on innovation in the AEC sector. The adoption of methodologies and tools such as BIM, GIS, AI, and Digital Twins has transformed how buildings are designed, constructed, and managed. The EU promotes digitisation through regulations to align the approach of European countries and setting standards. Digitisation offers benefits such as reduced errors, optimized material use, and improved site safety through IoT monitoring. However, challenges remain, including interoperability issues, high investment costs, and the need for specialized training. BIM remains central to digitisation in the AEC sector, with growing interest in integrating AI to enhance automation and data management. AI is recognized as a key driver of economic development, but is still in an early phase, facing challenges in application and interoperability. Research highlights AI’s potential in BIM for data analytics, automated geometry processing, and digital representation. Despite its promise, AI in BIM faces technical limitations, including accuracy issues and incomplete automation. The evolving relationship between BIM and AI signals a transitional phase, with increasing publications reflecting its expanding role in architectural engineering. The contribution summarizes the key elements of the topic and emphasizes what can be the actions on which future research can be developed.Pubblicazioni consigliate
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.


