Operational predictive maintenance is a way to monitor equipment using data analysis techniques such as statistical analysis, machine learning and artificial intelligence. It helps predict equipment failure and schedule repair before failure occurs. This reduces downtime and maintenance costs. Industries rely heavily on various equipment and assets to run operations smoothly. However, unplanned downtime can disrupt supply chains and cost a significant amount of money. Operational predictive maintenance uses sensors and Internet of Things (IoT) devices to collect real-time data from equipment and analyzes the data to identify anomalies or patterns that indicate development of faults. This enables maintenance activities to be planned in advance, minimizing disruptions.
According To coherent Market Insights Operational Predictive Maintenance Market is estimated to be valued at USD 6.52 Bn in 2025 and is expected to reach USD 35.32 Bn in 2032, exhibiting a compound annual growth rate (CAGR) of 27.3% from 2025 to 2032.
Key Takeaways
Key players operating in the Operational Predictive Maintenance are General Electric Company, IBM Corporation, SAP SE, Software AG, SAS Institute Inc. These players are focusing on introducing new solutions and services to gain more customers and expand their geographical presence.
There is a lot of growth opportunity for operational predictive maintenance market Analysis vendors in various industries such as energy and utilities, transportation, manufacturing, healthcare, aerospace & defense and others. Many industries are still in the early adoption phase of predictive maintenance which leaves a huge untapped market for solution providers.
Global expansion is a key focus area for predictive maintenance vendors. While North America is the largest market currently due to advanced industrial infrastructure and early technology adoption, vendors are focusing on countries in Asia Pacific, Middle East & Africa and South America to tap the growth opportunities. Partnerships with local players help global vendors to better understand the local business environments and customer needs.
Market drivers
One of the key drivers for operational predictive maintenance market is increasing focus on asset management by industries. Unplanned downtime of assets can cost millions of dollars in lost production and revenue. Predictive maintenance helps optimize asset usage, reduce maintenance costs and downtime.
Market restrain
Lack of skilled workforce is a major challenge restraining the growth of operational predictive maintenance market. It requires data scientists and engineers to collect and analyze equipment data. Shortage of talent familiar with both industrial operations and advanced analytics is hampering faster adoption of these solutions. Also, high initial investment and integration complexity of predictive maintenance solutions pose adoption barriers for some organizations.
Segment Analysis
The operational predictive maintenance market is segmented based on deployment type, technique, vertical, and geography. The cloud sub segment dominates the deployment type segment because it enables businesses to access and use predictive maintenance solutions without needing to maintain and install complex infrastructure on-premises. Moreover, it lowers upfront capital costs and provides flexibility.
Within techniques, vibration monitoring & analysis sub segment is dominating as it monitors component vibrations, which serve as an indicator of operational health. This helps detect machine faults at early stages and schedule repairs before complete failure. Predictive maintenance enabled by vibration analysis improves asset uptime and reduces unplanned downtime.
Global Analysis
North America is the fastest growing as well as dominating regional market for operational predictive maintenance. Factors such as strong presence of solution providers and higher technology adoption rate among enterprises in the region are driving market growth. The U.S comprises majority of market share in North America due to increasing investment in smart manufacturing technologies by prominent industries such as oil & gas, mining, and automotive. Asia Pacific market is expected to witness highest growth during the forecast period due to growing manufacturing sector and increasing focus on asset performance management in countries like China, India, Japan and South Korea. Increasing digitization, implementation of IoT, and adoption of advanced technologies like AI and ML are further propelling regional market growth.
Get More Insights On- Operational Predictive Maintenance Market
Get This Report In Japanese-
Get This Report In Korean-
Read More Blog Related to this Industry- The Future of Print: Where Lenticular Graphics Are Headed Next
About Author:
Vaagisha brings over three years of expertise as a content editor in the market research domain. Originally a creative writer, she discovered her passion for editing, combining her flair for writing with a meticulous eye for detail. Her ability to craft and refine compelling content makes her an invaluable asset in delivering polished and engaging write-ups.
( LinkedIn: https://www.linkedin.com/in/vaagisha-singh-8080b91 )
copyright src="chrome-extension://fpjppnhnpnknbenelmbnidjbolhandnf/content_script_web_accessible/ecp_regular.js" type="text/javascript">