The construction sector is now embracing new work procedures, which has led to a significant increase in the
creation and use of digital data. Building Information Modelling (BIM) is one of the trendy new ways of
working, and it's crucial to the construction industry's digital strategy because of the massive amounts of data it
can generate. Revealing, the sector might take a giant leap forward because to the massive amount of digital data
generated by BIM procedures. Here, big data serves as a foundation for potentially insightful conclusions to be
derived from the accumulation of BIM digital data. However, there is a lack of a well-mapped relationship
between BIM data and big data properties, according to an analysis that aimed to comprehend this connection.
Therefore, in order to provide the groundwork for future studies that will discern the connection between
building information modeling (BIM) data generation and big data advancement, a comprehensive mapping of
these two domains is required. This study intends to provide an output from the research that mapped both BIM
data and big data characteristics using a systematic mapping technique. It is clear from the mapping analysis that
there is a discernible relationship between the two domains; the specification domain is the least connected.