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Predictive Maintenance Market Growth, Recent Developments, Technology Forecast 2022 to 2027
Predictive Maintenance Market Growth, Recent Developments, Technology Forecast 2022 to 2027
The global Predictive Maintenance Market size was valued at US$ 4560.7 Mn in 2021, and is projected to reach US$ 18,653.2 by 2027, growing at a CAGR of 26.5% from 2022 to 2027.

The global Predictive Maintenance Market size was valued at US$ 4560.7 Mn in 2021, and is projected to reach US$ 18,653.2 by 2027, growing at a CAGR of 26.5% from 2022 to 2027. Predictive maintenance software is used to monitor the performance and condition of any equipment or machine while operating them. The software observes the equipment using advanced techniques that enables the maintenance of the machinery to be scheduled before any failure occurs. Predictive maintenance software has found its application in various fields like finding three-phase power imbalances from harmonic distortion, identifying motor amperage spikes, overheating from bad bearings, insulation breakdowns and locating potential overloads or degradation in electrical panels.

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Market Dynamics and Trends:

The rise in uptime along with reduced maintenance cost, unexpected failures and spare part inventory has led the market to propel and flourish simultaneously. Also, the decrease in repair and overhaul time is the key driver for the predictive maintenance market growth.

However, factors such as high cost of installation and misinterpretation of data leading to false requests hinder the market growth of predictive maintenance software. Also, predictive analysis may not take contextual information into account, such as equipment age or weather. On the contrary, the surging demand for predictive maintenance software to predict embryonic assets failure and prevent loss will create massive opportunities for predictive maintenance market during the forecast year.

Market Segmentations and Scope of the Study:

The global predictive maintenance market is segmented into component, deployment model, technique, stakeholder, industry vertical, and region. Based on component, it is bifurcated into solution and service. According to deployment, the market is classified into cloud and on-premise segments. Further, based on technique the market is divided into vibration monitoring, electrical testing, oil analysis, ultrasonic leak detectors, shock pulse, infrared, and others. Based on stakeholder, the predictive maintenance market is segmented into MRO, OEM/ODM, and technology integrators. Based on industry vertical, it is classified into manufacturing, energy & utilities, aerospace & defense, transportation & logistics, government, and others. Based on region, it is analyzed across North America, Europe, Asia-Pacific, and rest of the world (RoW).

Geographical Analysis:

North America dominates the global predictive maintenance market, followed by Europe. This is due to the underlying factors like the presence of large number of service vendors, technological advancements and better awareness about predictive maintenance.

However, Asia Pacific will show a steady rise in the adoption of predictive maintenance due to the emerging economies, technological advancement and the need to adopt latest technological innovations for achieving optimum output through proper maintenance of assets.

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Competitive Landscape:

The major market players include Asystom, C3.ai, Inc., Engineering Consultants Group, Inc., Expert Microsystems, Inc., Fiix Inc., Operational Excellence (OPEX) Group Ltd, Sigma Industrial Precision, Spark Cognition, TIBCO Software Inc., Uptake Technologies Inc, General Electric, Hitachi, Ltd., International Business Machines Corporation (IBM), Microsoft Corporation, PTC Inc.

KEY SEGMENTS:

Global Predictive Maintenance Market- By Component

  • Solution
  • Service
  • Professional Service
  • Support and Maintenance
  • Deployment and Integration
  • Training and Education
  • Managed Service

Global Predictive Maintenance Market- By Deployment

  • Cloud
  • On-premise

Global Predictive Maintenance Market- By Technique

  • Vibration Monitoring
  • Electrical Testing
  • Oil Analysis
  • Ultrasonic Leak Detectors
  • Shock Pulse
  • Infrared
  • Others

Global Predictive Maintenance Market- By Stakeholder

  • MRO
  • OEM/ODM
  • Technology Integrators
  • Pure play
  • End-to-end

Global Predictive Maintenance Market- By Industry Vertical

  • Manufacturing
  • Energy & utilities
  • Aerospace & Defense
  • Transportation & Logistics
  • Government
  • Healthcare
  • Others

Global Predictive Maintenance Market- By Region

  • North America
  • U.S.
  • Canada
  • Europe
  • Germany
  • France
  • UK
  • Italy
  • Rest of Europe
  • Asia-Pacific
  • Japan
  • China
  • India
  • South Korea
  • Rest of Asia-Pacific
  • RoW
  • Latin America
  • Middle East
  • Africa

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About Astute Analytica:

Astute Analytica is a global analytics and advisory company that has built a solid reputation in a short period, thanks to the tangible outcomes we have delivered to our clients. We pride ourselves in generating unparalleled, in-depth, and uncannily accurate estimates and projections for our very demanding clients spread across different verticals. We have a long list of satisfied and repeat clients from a wide spectrum including technology, healthcare, chemicals, semiconductors, FMCG, and many more. These happy customers come to us from all across the globe.

They are able to make well-calibrated decisions and leverage highly lucrative opportunities while surmounting the fierce challenges all because we analyze for them the complex business environment, segment-wise existing and emerging possibilities, technology formations, growth estimates, and even the strategic choices available. In short, a complete package. All this is possible because we have a highly qualified, competent, and experienced team of professionals comprising business analysts, economists, consultants, and technology experts. In our list of priorities, you-our patron-come at the top. You can be sure of the best cost-effective, value-added package from us, should you decide to engage with us.

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