The predictive maintenance (PdM) market is garnering substantial traction. The market growth attributes to the rising adoption of PdM solutions in the rapidly growing manufacturing, energy utilities, healthcare, automotive, aerospace defense, transportation sectors.
Besides, the growing implementations of the Internet of Things (IoT) across end-user verticals worldwide drive the market growth, allowing different assets systems to connect, synchronize, share, analyze, and act on the data. With substantial RD investments in the development of PdM solutions, the market is projected to garner vast gains during the next few years.
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The Predictive Maintenance (PdM) market industry is projected to grow from USD21.83 Billion in 2022 to USD 111.30 billion by 2030,exhibiting a compound annual growth rate (CAGR) of 26.20% during the forecast period (2022 - 2030).
The smart revolution is impacting industries exponentially, allowing data-driven research. Industries leverage the analytical capabilities of PdM to thrive in continually rising volumes, types, and complexities of data. Utilities are increasingly implementing PdM solutions to target market strategic framework, impacting the market growth positively.
Predictive Maintenance (PdM) is a proactive maintenance technique that uses real-time asset data (collected through sensors), combined with predictive analytics, to identify potential malfunctions and take preventive maintenance actions before they become critical. This technique can help reduce downtime, reduce costs, and improve the overall efficiency of operations. Predictive Maintenance (PdM) uses data collected from sensors to monitor the performance and condition of equipment in order to detect any potential problems before they occur. This data is then used to create statistical models that can predict when maintenance should be performed and detect any potential problems before they become critical. Predictive Maintenance (PdM) also allows for proactive and preventative maintenance, where maintenance activities are scheduled at regular intervals based on the data collected from sensors. This can help to reduce the risk of unexpected failures and improve the overall reliability of equipment.
Predictive Maintenance (PdM) uses real-time asset data, collected through sensors, to forecast when failure will occur. It also uses advanced technology such as machine vision, IoT, and reliability-centered maintenance to monitor conditions of assets, diagnose problems, and prioritize new PdM projects.
Global Predictive Maintenance Market - Segments
The report is segmented into components, testing types, deployments, techniques, verticals, and regions. The component segment is sub-segmented into hardware, solutions, and services (consulting, support maintenance, system integration, others).
The testing type segment is sub-segmented into vibration monitoring, electrical insulation, infrared thermography, temperature monitoring, ultrasonic leak detector, oil analysis, and others. The deployment segment is sub-segmented into on-cloud and on-premise.
The technique segment is sub-segmented into traditional and advanced techniques. The vertical segment is sub-segmented into manufacturing, healthcare, energy utility, automotive, aerospace defense, transportation, and others. By regions, the market is sub-segmented into North America, Europe, APAC, and the rest of the world.
Predictive Maintenance (PdM) Component Outlook:
Hardware
Solution
Services
Predictive Maintenance (PdM) Testing Type Outlook:
Vibration Monitoring
Electrical Insulation
Infrared Thermography
Temperature Monitoring
Ultrasonic Leak Detector
Oil Analysis
Predictive Maintenance (PdM) Deployment Mode Outlook:
Cloud
On-premise
Predictive Maintenance (PdM) Technique Outlook:
Traditional Technique
Advanced Technique
Predictive Maintenance Market - Regional Analysis
North America holds a significant share in the global predictive maintenance market. The presence of leading solution providers investing heavily in RD to enhance the capabilities and operational efficiency of their solutions drives the market growth.
Besides, the growing adoption of advanced technologies in manufacturing industries across the region to halve unplanned downtime and maintenance costs boost the market size. Moreover, the increasing demand from energy utilities, alongside government initiatives utility-scale policy, increases the region's market shares.
Global PdM Market - Competitive Landscape
Highly competitive, the PdM market appears to be fragmented due to the presence of several well-established industry players. These players initiate strategic approaches such as mergers acquisitions, collaboration, expansion, and technology launch to gain a larger competitive advantage.
Major Players:
Players leading the global PdM market are Oracle Corporation (US), Axiomtek Co. Ltd (Taiwan), Microsoft Corporation (US), IBM Corporation (US), XMPro (US), RapidMiner (US), SAP SE (Germany), Hitachi, Ltd (Japan), Comtrade (Ireland), Software AG (Germany), and C3 IoT (US), among others.
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Industry/Innovation/Related News:
Feb. 16, 2021 --- Senseye, a leading machine health management company, announced the collaboration with PTC to accelerate the adoption of its predictive maintenance technology, making it available for PTC's ThingWorx Industrial IoT (IIoT) Solutions Platform. Senseye PdM can allow users to monitor assets automatically and even anticipate future machine failures by applying Senseye's proprietary algorithms and AI technology.
1 Executive Summary
2 Market Introduction
2.1 Definition 18
2.2 Scope Of The Study 18
2.3 Market Structure 19
3 Research Methodology
3.1 Research Process 20
3.2 Primary Research 21
3.3 Secondary Research 22
3.4 Market Size Estimation 22
3.5 Forecast Model 23
3.6 List Of Assumptions 24
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