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Predictive maintenance (PdM) techniques are designed to help determine the condition of in-service equipment in order to predict when maintenance should be performed. This approach promises cost savings over routine or time-based preventive maintenance, because tasks are performed only when warranted.
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North America is expected to have the largest market share and would dominate the predictive maintenance market during the forecast period.
The Asia-Pacific (APAC) region offers potential growth opportunities for the market and is expected to grow at the highest CAGR during the forecast period. APAC and Middle East & Africa (MEA) markets are investing heavily on predictive maintenance solutions and services to increase their production efficiency by reducing unplanned downtime and operational costs.
In 2017, the global Predictive Maintenance market size was xx million US$ and it is expected to reach xx million US$ by the end of 2025, with a CAGR of xx% during 2018-2025.
This report focuses on the global top players Wholesale Glen Davis Jersey , covered Augury Systems Bosch Software Innovations C3 IoT Dell Fluke General Electric Hitachi Honeywell IBM PTC Rapidminer Rockwell SAP SAS Institute Schneider Senseye Software Softweb Solutions T-Systems International Warwick Analytics
Year End Deals:
Market segment by RegionsCountries, this report covers United States Europe China Japan Southeast Asia India
Market segment by Type, the product can be split into Cloud On-premises
Market segment by Application, split into Government Aerospace and defense Energy and utilities Healthcare Manufacturing Transportation and logistics Others