The global predictive maintenance market size is expected to reach USD 28.24 billion by 2025, registering a CAGR of 37.9%, as per a new report by Grand View Research Inc. Growing demand for IoT and big data is driven due to the concerns regarding asset maintenance and reducing operational costs in organizations. This is a key factor likely to propel market growth in the coming years. Deployment of predictive maintenance solutions aids businesses reduce downtime costs by precisely predicting asset failures.
The deployment of predictive maintenance has gained traction in IT and telecommunication, energy and utilities, and automotive and transportation, along with the manufacturing sector. Growing adoption of this solution in various sectors is anticipated to support the market growth over the forecast period.
The key players operating in the predictive maintenance marketspace are now integrating sensor-based technologies with the existing predictive maintenance solutions to rollout an efficient solution to end-users. The remote predictive maintenance solution is an emerging trend and is estimated to effectively support the monitory activities in remote locations.
Predictive Maintenance Market Report Highlights
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The railway industry is incorporating prominent changes in the area of switch maintenance to guarantee punctual and safe rail traffic. For instance, Infrabel is focused on digitalizing plans of switches and crossings (S&C), tracks, and related records with the help of a digital SAP platform called the Switch Measuring System (SMS)
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In January 2021, Vertex Aerospace entered in a collaboration with BAE Systems to support the combat operations and crucial training undertaken from US Navy’s amphibious assault ships, aircraft carriers like the US Marine Corps’ AV-8B Harrier II fleet, and forward operating bases by leveraging smart stock optimization tools and predictive maintenance techniques
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Companies have ramped up their investments to roll out cutting-edge technologies to schedule effective maintenance activities. For instance, in January 2021 Svendborg Brakes announced its SOBO iQ solution that integrates the Industrial Internet of Things (IIoT) solution, Cloud and Edge Computing, and Big Data analytics. It will empower the mining industry with advanced braking control using predictive maintenance
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The deployment/installation services segment is projected to dominate the market during the forecast period. Also, the demand for deployment/installation services has found widespread application across various industry verticals such as automotive and transportation, aerospace and defense, and energy and utilities
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The manufacturing segment led the market in 2018 owing to the growing demand for maintenance of manufacturing equipment such as machinery, industrial robots, elevators, and pumps
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Predictive Maintenance Market Segmentation
Grand View Research has segmented the global predictive maintenance market on the basis of solution, service, deployment, enterprise size, end use, and region:
Predictive Maintenance Solution Outlook (Revenue, USD Million, 2014 – 2025)
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Integrated
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Standalone
Predictive Maintenance Service Outlook (Revenue, USD Million, 2014 – 2025)
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Deployment/Installation
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Support & Maintenance
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Training & Consulting
Predictive Maintenance Deployment Outlook (Revenue, USD Million, 2014 – 2025)
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Cloud
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On-premise
Predictive Maintenance Enterprise Size Outlook (Revenue, USD Million, 2014 – 2025)
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Small and Medium Enterprises
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Large Enterprises
Predictive Maintenance End Use Outlook (Revenue, USD Million, 2014 – 2025)
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Aerospace & Defense
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Automotive & Transportation
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Energy & Utilities
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Healthcare
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IT & Telecommunication
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Manufacturing
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Oil & Gas
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Others
Predictive Maintenance Region Outlook (Revenue, USD Million, 2014 – 2025)
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North America
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U.S.
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Canada
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Europe
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Germany
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U.K.
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Asia Pacific
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China
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India
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Japan
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Latin America
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Brazil
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Middle East & Africa
List of Key Players of Predictive Maintenance Market
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IBM Corporation
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Microsoft Corporation
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SAP ERP
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General Electric Company
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Siemens AG
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Schneider Electric SE
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Software AG
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Accenture plc
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Honeywell International Inc.
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Cisco Systems, Inc.
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