In recent years, a growing amount of research has focused on improving the performance of industrialized construction using emerging technologies. It is still necessary to have an in-depth understanding of the industry practitioners’ perspectives on the application of emerging technologies. Thus, a well-designed survey was distributed to industry practitioners who have been involved in industrialized construction projects. Then, a set of data analysis methods were utilized on the collected data to address the proposed four specific research questions. Results indicate that 3D and nD models, sensing techniques, and business information models are the technologies with the highest current utilization level. Extended reality, additive manufacturing, and advanced data analytics are the technologies with the highest development potential. Project inputs (e.g., cost, time, and labor), as well as implementation cost and software constraints (e.g., capital costs, software upgrading, and compatibility), are the main factors that affect practitioners’ decisions to adopt emerging technologies in industrialized projects. Inter-group comparison results indicate that company background has little significant influence on practitioners’ perspectives, while personal career profiles can significantly affect practitioners’ perspectives. Significantly, by uncovering the suggestions and viewpoints of practitioners, this paper aligns academic research with industry needs, ultimately providing guidance on future research directions and applications.

In the recent years, industrialized construction (IC) is moving the construction industry toward integrating emerging manufacturing technologies into offsite construction and factory component assembly practices to improve productivity and efficiency. The key to success in the IC business is providing mass customization and mass production simultaneously, which is only possible in a highly flexible manufacturing system. The manufacturing industry is experiencing the fourth industrial revolution which is blurring the separation of the physical, cyber, and biological worlds. The primary objective of this study is to identify the new methods and techniques emerging in manufacturing industry and evaluate their possible application in IC. A questionnaire was designed to collect data from industry experts. Preliminary data shows a significant lag in the transition of the new trends in cyber physical systems and data analytics into the IC production process. The findings of this survey are precisely analyzed and discussed in this paper.