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Today"s manufacturers face ever-increasing demands of variability, greater customization of the products, smaller lot sizes, sudden supply-chain changes, and disruptions. With intelligent factories and products, changes will happen in the way the products will be manufactured, impacting on various market sectors. PLM holds the promise of seamlessly integrating and making available all of the information produced throughout all phases of a product"s life cycle to everyone in an organization, along with the key suppliers. Industry 4.0 will make it possible to gather and analyze data across machines, enabling faster, more flexible, and more efficient processes to produce higher-quality goods at reduced costs. A research question then arises: What are the opportunities found between the Product Lifecycle Management Maturity Models and the Industry 4.0? Thus, this research proposes a literature review to identify the main researches related to Product Lifecycle Management Maturity Models, adopting the Knowledge Development Process Construtivist (ProKnow-C) method. For that, the AHP method was conducted to verify the adherence of the PLM maturity models having as reference the Industry 4.0 criterias (RAMI 4.0 and perspectives), allowing a diagnostic view about the existing maturity models. As a result, future research opportunities concerning PLM maturity models through Industry 4.0 perspectives are highlighted.

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