Predictive Maintenance Market Size | Industry Trends & Forecast 2025

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Code: MTA10453

Publication Date: Nov 2025

What is the size of Predictive Maintenance Market?

According to 6Wresearch internal database and industry insights, the Global Predictive Maintenance Market was valued at USD 6.1 Billion in 2024 and is expected to reach USD 20.1 Billion by 2031, growing at a compound annual growth rate of 13.10% during the forecast period (2025-2031).

This growth is primarily driven by the rising deployment of machinery enabled by the Internet of Things (IoT), advancements in the development of Artificial Intelligence (AI) and Machine Learning (ML) algorithms, and increased emphasis on reducing equipment downtime and maintenance costs.

Growth Factors for Predictive Maintenance Industry

Growing implementation of IoT sensors and connected devices in industrial equipment.
Rising need to optimise maintenance schedules and reduce unplanned outages.
Increased investments in AI- and data analytics-driven maintenance solutions.
Expanding use of cloud computing for remote monitoring and predictive insights.
Supportive government initiatives promoting smart manufacturing and Industry 4.0 adoption.

Predictive Maintenance Market Trends

Trends within the Predictive Maintenance Market reflect an increased usage of AI-driven analysis along with digital twins to forecast the expected state of the equipment and extent of asset life. Predictive solutions are integrated with enterprise resource planning (ERP) systems to improve real-time detection. Edge computing is the new competitive imperative in the analytical chain, providing rapid data processing and making timely decisions easier. Beyond manufacturing, energy, transportation, and other industries have led to significant increases in predictive maintenance use for operational improvements and cost savings.

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Emerging Developments in the Predictive Maintenance Market

Trends in the predictive maintenance market indicate a rapid shift toward automated data analysis tools and AI platforms. Companies are focusing on developing self-learning systems that steadily improve their predictions based on real-time sensor data. With the introduction of 5G connectivity, there are higher data transmission speeds and remote monitoring in more extreme environments. Collaboration between software vendors and equipment manufacturers is driving innovation in products and scalability across industries.