The fourth industrial revolution (industry 4.0) is a term used to describe the ongoing transformation of business processes combined with the latest technologies that are changing the way businesses operate, leading to the faster, cheaper, and effective delivery of products and services. Different companies and countries are preparing for this revolution by developing Industry 4.0 strategies. To assist the companies seeking to adopt Industry 4.0 in manageable phases, the maturity models (MMs) were created and used. However, in the context of Industry 4.0, literature reviews indicate that the number of models has increased sharply in recent years. This paper aims to present and analyze the results of bibliometric analysis and systematic literature review, which highlight the recent developments in the field of Industry 4.0 MMs, with a focus on investigating the existing models, their types, levels, and dimensions. Based on our findings, we introduced the core dimensions of the MMs that will require more intensive efforts to set the ground for the transformation journey, utilizing the power of AI and machine learning. This work will enable the scientific community to investigate the publication hierarchy in this emerging field, and it will serve as a starting point for future MMs developments.