The rapid evolution of digital and Data-Driven Technologies (DDT) such as Internet of Things (IoT), Building Information Modelling (BIM), Big Data Analytics (BDA), Machine Learning (ML), and Artificial Intelligence (AI) has the potential to transform Facilities Management (FM) practices globally. However, within the Malaysian government FM context, the adoption of these technologies remains limited despite their potential to enhance operational efficiency, predictive maintenance and informed decision-making. This study aims to identify the determinant factors influencing the adoption of DDT in government FM through integration of the Unified Theory of Acceptance and Use of Technology (UTAUT) and Technology-Organization-Environment (TOE) frameworks as a theoretical lens. This study first conducted a comprehensive literature review to extract potential adoption factors, which were then empirically validated using factor analysis in Statistical Package for Social Sciences (SPSS) software, to ensure construct reliability and relevance within the research context. The findings suggest that the conceptual framework for this research consist of seven determinant factor like Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Conditions, Technology Readiness, Organizational Support and External Environment that influence the DDT adoption in FM which leads to data-driven FM practices in government sector.