Systematic review highlights trends in predictive maintenance using AI and IoT, suggesting future directions.
In light of the rapid development of industrial systems within the era of the Fourth Industrial Revolution, predictive maintenance (PdM) has undergone a significant transformation through the integration of Artificial Intelligence (AI) enhancements with the Internet of Things (IoT), enabling real-time monitoring and accurate decision-making in industrial environments. This review provides a comprehensive analysis of 82 recent studies between 2019 and 2025, reviewing trends and developments, data integration, system compatibility, and real-time adaptability. Unlike previous reviews, this study presents a novel classification framework with clearer thematic distinctions by classifying the included studies into several industrial fields, such as smart factories, manufacturing, industrial equipment, machinery, and mobile robots, while identifying key research gaps and proposing future directions aligned with the Fourth Industrial Revolution.
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Albattat et al. (2025) studied this question.
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