The Asia-Pacific Predictive Maintenance (PdM) Market by Technique research industry size offers insights into a rapidly expanding sector where technology-driven innovation leads to improved efficiency and reliability. Predictive maintenance enables industries to use real-time data to predict equipment malfunctions before they occur, reducing costs and maximizing uptime.

Research indicates that in 2018, the traditional technique segment accounted for the larger market share and is projected to grow from USD 837.30 million in 2018 to USD 2,801.20 million by 2024, at a CAGR of 24.41%. Meanwhile, the advanced segment is emerging as the key growth area with a 30.17% CAGR during the forecast period.

This growth in industry size can be attributed to several factors — notably the adoption of cloud computing, AI-based diagnostic models, and IoT-powered monitoring systems. These technologies provide real-time data insights and automate maintenance schedules, reducing human error and operational inefficiencies.

Countries like China and India are leading in technological adoption due to robust manufacturing ecosystems and supportive government initiatives promoting industrial automation. Japan and South Korea are focusing on advanced analytics and machine learning for predictive insights, further contributing to the market’s expansion.

Overall, the Asia-Pacific Predictive Maintenance (PdM) Market by Technique research industry size highlights the growing synergy between data science and industrial operations. This trend signifies a major step toward building intelligent, self-monitoring industrial ecosystems.