Predictive maintenance is one of the developments of maintenance activities to ensure the continuity of the production process, especially for companies with continuous production processes. However, predictive maintenance activities require support from other departments, one of which is the availability of spare parts. This study conducted an in-depth analysis of 11 previous studies regarding joint or integration in predictive maintenance. Based on the results of the research, it is known that only a few joint or integration models in predictive maintenance are included in the use of a data-based approach to utilize data collected in real-time. Furthermore, this study proposes a framework that can be used in developing a data-driven joint predictive maintenance and inventory model of spare parts in multi-components/ multi spare parts.