Predictive Maintenance Market Share

  • Report ID: 4675
  • Published Date: Oct 11, 2024
  • Report Format: PDF, PPT

Predictive Maintenance Market Share

APAC Market Statistics

The Asia Pacific predictive maintenance market, amongst the market in all the other regions, is poised to dominate 29% revenue share by 2037.  The growth of the market can be attributed majorly to the rapid penetration of digitization in the company. Around 70% of major corporations and middle-market businesses in the APAC region have a digital transformation strategy in place, with Taiwan leading the pack with 95%. This represents an increase from 2020 when 57% of APAC businesses had a digital strategy. Furthermore, the rise in the downtime occurring in the industry, which in turn leads to production loss is also expected to boost the market growth. Disruption in the supply chain management had increased the average downtime days by approximately 95% in the energy industries of the Asia Pacific region.

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Author Credits:  Abhishek Verma


  • Report ID: 4675
  • Published Date: Oct 11, 2024
  • Report Format: PDF, PPT

Frequently Asked Questions (FAQ)

In the year 2025, the industry size of predictive maintenance is estimated at USD 14.11 billion.

The predictive maintenance market size was valued at USD 11.24 billion in 2024 and is expected to cross USD 416.79 billion by the end of 2037, registering more than 31.7% CAGR during the forecast period i.e., between 2025-2037. Increasing digital transformation, rising need for technologies, rising devices connected to IoT and need to curb the downtime will boost the market growth.

Asia Pacific industry is poised to dominate 29% revenue share by 2037, owing to rapid penetration of digitization in the company.

The major players in the market include C3.ai. Inc., Software AG, PTC, Asystom, Uptake Technologies Inc., TIBCO Software Inc., Wavelabs, OMRON Corporation, SIGMA Industrial Precision, DINGO Software Pty. Ltd., Operational excellence group limited (OPEX) Group Ltd., Fiix Inc., Ecolibirium Inc., Softweb Solutions Inc., S A S Institute Inc., Schneider Electric, General Electric, SAP SE, Microsoft Corporation, IBM Corporation, Siemens AG, Hitachi Consulting Corporation, Fujitsu Limited.
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