The market for Predictive Maintenance is estimated to grow from USD 10.6 billion in 2024 to USD 47.8 billion in 2029, at a CAGR of 35.1% during the forecast period, according to new research report by MarketsandMarkets? The driving factors for the predictive maintenance market include the widespread adoption of emerging technologies like IoT sensors and data analytics, enabling real-time monitoring of equipment health. The integration of machine learning (ML) and artificial intelligence (AI) algorithms allows for predictive analysis of potential failures, reducing downtime and optimizing asset performance.