This document discusses using machine learning to better analyze and monitor patent landscapes, specifically for emerging technologies related to Industry 4.0 and Factory 4.0. It provides an example analysis of the 3D printing patent landscape. Supervised learning can automatically categorize patents into user-defined categories and continuously learn from expert feedback to improve categorization over time, allowing for dynamic monitoring of changing technologies. This approach provides a more precise way to track patent data in fields that are poorly defined or evolving rapidly compared to traditional classification methods.