The continuing digital transformation makes metadata management an essential technology for identifying and extracting value from data. Previous research has already reviewed the current state of the art for data catalogs and metadata management models, described challenges and examined critical success factors, goals and benefits. However, the reference to industrial SMEs has yet to be included. In this paper, a structured literature review is conducted. We assess the current state of research and propose possible future directions for the development of data catalogs in industrial SMEs. 29 documents from 2011 to 2024 were analyzed regarding metadata models in terms of industrial aspects, FAIR principles, reference to SMEs, and impact on business process management. In industrial SMEs, minimal studies were found addressing this topic. Therefore, there is a significant need for research on the requirements and challenges of implementing metadata management models in SMEs. Future research could focus on exploring the specific needs of SMEs in this area and investigate their impact on their process management and decision-making.