The adoption of Internet of Things (IoT) technologies has shown notable progress within Indonesia’s construction sector, as professionals begin integrating connected systems into field operations. This shift marks a significant step forward in digital transformation efforts aimed at improving efficiency, safety, and productivity on-site. However, despite this momentum, the adoption process is not without challenges. This research explores how Performance Expectancy, Effort Expectancy, Social Influence, and Facilitating Conditions influence construction professionals’ Behavioral Intention (BI) to adopt IoT tools. It also examines whether intention leads to actual use behavior and explores the moderating effects of gender, age, and level of job function. This study employed a quantitative strategy to collect data from 402 individuals representing various regions in Indonesia, which were subsequently examined using Partial Least Squares Structural Equation Modeling (PLS-SEM). The analysis confirms that the primary constructs significantly impact intention, which subsequently affects real usage. Demographic factors also demonstrate moderating effects, offering valuable insight for policymakers and industry stakeholders in fostering successful IoT integration strategies.