The management of infrastructure assets is essential for ensuring the safety, durability, and efficiency of transportation networks. There is an increasing tendency to integrate traditional Asset Management (AM) with developing technologies to enhance maintenance strategies, improve safety measures, and optimize decision-making processes. Tunnel Asset Management (TAM) as part of the broader framework of Infrastructure Asset Management (IAM) is being revolutionized by the ever-increasing interoperability of innovative solutions such as Internet of Things (IoT) systems, Geographic Information Systems (GIS), and Building Information Modeling (BIM) in the way asset data is collected, analysed, and utilized. A comprehensive literature review of the state-of-the-art of TAM served as the genesis for the workflow identification of the final proposal that this thesis aims to give.