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A short review of data-driven solutions for Predictive Maintenance, non-stationary environments, and Continual Learning.• An overview and motivation of the intersection between Predictive Maintenance and Continual Learning.• The current challenge and trends of applying Continual Learning in current Predictive Maintenance benchmarks.• Proposal of a novel construction of benchmarks for Continual Learning, aiming to close the gap between lab and realistic environments.