The article defines Industry 4.0 technologies that are promising in the context of the construction industry digital transformation based on publications presented in the international Scopus database. The sample of publications was formed according to two criteria: the year of publication - only those publications that were published in the period from 2011 to 2022 were considered, since the concept of "Industry 4.0" was first presented in 2011, and, by keywords: digital transformation, Industry 4.0, construction. The analysis of the primary sample led to the need to form another sample for the keyword "Construction 4.0". Determination of technology prospects was carried out using the Gartner maturity chart.

The purpose of this article is to analyze the theory and practice of applying machine learning methods in the construction industry. The research base was the national bibliographic database of scientific citation - RSCI. As a result of the analysis, it was revealed that the most common use of machine learning methods is in the oil and gas industry, and research in the construction industry is more of an overview.