This study examines the obstacles that impede the implementation of cloud computing (CC) in small-scale building projects. Based on a comprehensive analysis of relevant scholarly sources, this research paper aims to delineate the many obstacles that are often encountered during the implementation of CC. A comprehensive analysis is conducted based on the replies obtained from a survey of 217 stakeholders in the building sector. Using an exploratory factor analysis (EFA) methodology, this research assesses the interrelated obstacles associated with technological and operational restrictions, risk and privacy considerations, cultural dynamics, behavioural variables, unpredictability, and resource barriers. Furthermore, a model is developed using Structural Equation Modelling (SEM) in order to get a deeper comprehension of these hindrances. The results of the EFA emphasize the significant impact of risk and privacy barriers in impeding the adoption of CC. The present study offers valuable insights that may inform policymakers in their efforts to enhance the effectiveness of construction projects by addressing the issue of data fragmentation. Through the identification and addressing of these limitations, the research study makes a valuable contribution to the optimization of data fragmentation procedures. Furthermore, it promotes the sustainability of existing building projects by facilitating the more effective exploitation of cloud computing. This paper presents a novel methodology that establishes a foundation for identifying and tackling the many barriers that impede the broad adoption of cloud computing in the construction sector. © 2023 THE AUTHORS