The construction sector is undergoing a transition towards data-driven models that are reshaping processes, roles, and decision-making. Traditionally based on experience and reactive management, the industry now incorporates advanced analytics, artificial intelligence, and Internet of Things (IoT) to generate useful information in real time. This shift enables the anticipation of risks, the optimisation of resources, and improved planning, reducing structural inefficiencies.

Beyond operational efficiency, data are becoming established as a strategic asset influencing the design, delivery, and maintenance of built assets. New professional profiles are also emerging, such as the construction data analyst, reflecting increasing specialisation. However, adoption remains constrained by challenges including a lack of standardisation, the complexity of data management, and the need for investment in digital capabilities.