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This report provides an overview of the growing predictive maintenance (PDM) market for semiconductor manufacturing, driven by the need for operational efficiency and cost reduction. PDM solutions utilize data analytics and machine learning algorithms to predict equipment failures and optimize production processes. Key factors driving market growth include the complexity of semiconductor manufacturing processes, the need for continuous equipment uptime, and advancements in sensor technologies. The report also highlights the adoption of Industry 4.0 practices and the Internet of Things (IoT) as key drivers for the market. The market is expected to grow at a CAGR of 28.5% from 2024 to 2030.