This research explores the application of Building Information Modelling (BIM) for energy simulation and optimization in net-zero tall buildings, particularly in the context of Malaysia. The study aims to bridge the gap in understanding how BIM can be effectively utilized to achieve net-zero energy consumption in tall buildings. Through a three-phase methodology involving qualitative analysis, a pilot survey, and a main questionnaire, the research identifies and validates key factors such as early design integration, enhanced energy efficiency, optimized system integration, predictive performance analysis, and sustainable design validation. The findings support the positive associations between BIM deployment and these factors, providing statistical significance through T-statistics and p-values. The research contributes valuable insights to the construction industry, policymakers, and researchers, offering a comprehensive framework for implementing BIM-driven energy simulation and optimization in net-zero tall buildings. The implications extend beyond Malaysia, offering valuable insights for architects, engineers, and stakeholders involved in designing and managing sustainable tall buildings. The study highlights the importance of addressing challenges such as limited awareness, data integration, and complex software to fully realize the potential of BIM in achieving net-zero energy targets.This research explores the application of Building Information Modelling (BIM) for energy simulation and optimization in net-zero tall buildings, particularly in the context of Malaysia. The study aims to bridge the gap in understanding how BIM can be effectively utilized to achieve net-zero energy consumption in tall buildings. Through a three-phase methodology involving qualitative analysis, a pilot survey, and a main questionnaire, the research identifies and validates key factors such as early design integration, enhanced energy efficiency, optimized system integration, predictive performance analysis, and sustainable design validation. The findings support the positive associations between BIM deployment and these factors, providing statistical significance through T-statistics and p-values. The research contributes valuable insights to the construction industry, policymakers, and researchers, offering a comprehensive framework for implementing BIM-driven energy simulation and optimization in net-zero tall buildings. The implications extend beyond Malaysia, offering valuable insights for architects, engineers, and stakeholders involved in designing and managing sustainable tall buildings. The study highlights the importance of addressing challenges such as limited awareness, data integration, and complex software to fully realize the potential of BIM in achieving net-zero energy targets.