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Real Estate News Releases
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(EstateNewsWire.com, April 12, 2018 ) 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.
The main promise of predictive maintenance is to allow convenient scheduling of corrective maintenance, and to prevent unexpected equipment failures. The key is "the right information in the right time". By knowing which equipment needs maintenance, maintenance work can be better planned (spare parts, people, etc.) and what would have been "unplanned stops" are transformed to shorter and fewer "planned stops", thus increasing plant availability. Other potential advantages include increased equipment lifetime, increased plant safety, fewer accidents with negative impact on environment, and optimized spare parts handling.
This report studies the global Predictive Maintenances market, analyzes and researches the Predictive Maintenances development status and forecast in United States, EU, Japan, China, India and Southeast Asia. This report focuses on the top players in global market, like IBM, Software AG, SAS, General Electric, Bosch, Rockwell Automation, Augury Systems, C3 IoT, Dell, Fluke Corporation, Hitachi, Honeywell International, PTC, Rapidminer, SAP SE, Schneider Electric, Senseye SKF, Softweb Solutions, T-Systems International GmbH, Warwick Analytics, etc…
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Market segment by Regions/Countries, this report covers United States, EU, Japan, China India & Southeast Asia
Market segment by Type, Predictive Maintenances can be split into
Cloud Predictive Maintenances
On-Premises Predictive Maintenances
Market segment by Application, Predictive Maintenances can be split into
Government
Aerospace and Defense
Energy and Utilities
Healthcare
Manufacturing
Transportation and Logistics
Other
Browse complete report @ http://www.reportsweb.com/global-predictive-maintenances-market-size-status-and-forecast-2022
Major points from Table of Contents:
Global Predictive Maintenances Market Size, Status and Forecast 2022
1 Industry Overview of Predictive Maintenances
2 Global Predictive Maintenances Competition Analysis by Players
3 Company (Top Players) Profiles
3.1 IBM
3.1.1 Company Profile
3.1.2 Main Business/Business Overview
3.1.3 Products, Services and Solutions
3.1.4 Predictive Maintenances Revenue (Value) (2012-2017)
3.1.5 Recent Developments
3.2 Software AG
3.2.1 Company Profile
3.2.2 Main Business/Business Overview
3.2.3 Products, Services and Solutions
3.2.4 Predictive Maintenances Revenue (Value) (2012-2017)
3.2.5 Recent Developments
3.3 SAS
3.3.1 Company Profile
3.3.2 Main Business/Business Overview
3.3.3 Products, Services and Solutions
3.3.4 Predictive Maintenances Revenue (Value) (2012-2017)
3.3.5 Recent Developments
3.4 General Electric
3.4.1 Company Profile
3.4.2 Main Business/Business Overview
3.4.3 Products, Services and Solutions
3.4.4 Predictive Maintenances Revenue (Value) (2012-2017)
3.4.5 Recent Developments
4 Global Predictive Maintenances Market Size by Type and Application (2012-2017)
5 United States Predictive Maintenances Development Status and Outlook
6 EU Predictive Maintenances Development Status and Outlook
7 Japan Predictive Maintenances Development Status and Outlook
8 China Predictive Maintenances Development Status and Outlook
9 India Predictive Maintenances Development Status and Outlook
10 Southeast Asia Predictive Maintenances Development Status and Outlook
11 Market Forecast by Regions, Type and Application (2017-2022)
12 Predictive Maintenances Market Dynamics
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