Global Operational Predictive Maintenance Market 2018-2025 | Top Venders : IBM Corporation, Software AG, SAS Institute, PTC and more.

This report studies the global Operational Predictive Maintenance market size, industry status and forecast, competition landscape and growth opportunity. This research report categorizes the global Operational Predictive Maintenance market by companies, region, type and end-use industry.

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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.
The main promise of predictive maintenance is to allow convenient scheduling of corrective maintenance, and to prevent unexpected equipment failures.
In 2017, the global Operational 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, covered
IBM Corporation
Software AG
SAS Institute
PTC
General Electric
Robert Bosch
Rockwell Automation
Schneider Electric
eMaint

Market segment by Regions/Countries, this report covers
United States
Europe
China
Japan
Southeast Asia
India

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Market segment by Type, the product can be split into
Software
Services

Market segment by Application, split into
Public Sector
Automotive
Manufacturing
Healthcare
Energy & Utility
Transportation

Table of Contents

Global Operational Predictive Maintenance Market Size, Status and Forecast 2025
1 Industry Overview of Operational Predictive Maintenance
1.1 Operational Predictive Maintenance Market Overview
1.1.1 Operational Predictive Maintenance Product Scope
1.1.2 Market Status and Outlook
1.2 Global Operational Predictive Maintenance Market Size and Analysis by Regions (2013-2018)
1.2.1 United States
1.2.2 Europe
1.2.3 China
1.2.4 Japan
1.2.5 Southeast Asia
1.2.6 India
1.3 Operational Predictive Maintenance Market by Type
1.3.1 Software
1.3.2 Services
1.4 Operational Predictive Maintenance Market by End Users/Application
1.4.1 Public Sector
1.4.2 Automotive
1.4.3 Manufacturing
1.4.4 Healthcare
1.4.5 Energy & Utility
1.4.6 Transportation

2 Global Operational Predictive Maintenance Competition Analysis by Players
2.1 Operational Predictive Maintenance Market Size (Value) by Players (2013-2018)
2.2 Competitive Status and Trend
2.2.1 Market Concentration Rate
2.2.2 Product/Service Differences
2.2.3 New Entrants
2.2.4 The Technology Trends in Future

3 Company (Top Players) Profiles
3.1 IBM Corporation
3.1.1 Company Profile
3.1.2 Main Business/Business Overview
3.1.3 Products, Services and Solutions
3.1.4 Operational Predictive Maintenance Revenue (Million USD) (2013-2018)
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 Operational Predictive Maintenance Revenue (Million USD) (2013-2018)
3.3 SAS Institute
3.3.1 Company Profile
3.3.2 Main Business/Business Overview
3.3.3 Products, Services and Solutions
3.3.4 Operational Predictive Maintenance Revenue (Million USD) (2013-2018)
3.4 PTC
3.4.1 Company Profile
3.4.2 Main Business/Business Overview
3.4.3 Products, Services and Solutions
3.4.4 Operational Predictive Maintenance Revenue (Million USD) (2013-2018)
3.5 General Electric
3.5.1 Company Profile
3.5.2 Main Business/Business Overview
3.5.3 Products, Services and Solutions
3.5.4 Operational Predictive Maintenance Revenue (Million USD) (2013-2018)
3.6 Robert Bosch
3.6.1 Company Profile
3.6.2 Main Business/Business Overview
3.6.3 Products, Services and Solutions
3.6.4 Operational Predictive Maintenance Revenue (Million USD) (2013-2018)
3.7 Rockwell Automation
3.7.1 Company Profile
3.7.2 Main Business/Business Overview
3.7.3 Products, Services and Solutions
3.7.4 Operational Predictive Maintenance Revenue (Million USD) (2013-2018)
3.8 Schneider Electric
3.8.1 Company Profile
3.8.2 Main Business/Business Overview
3.8.3 Products, Services and Solutions
3.8.4 Operational Predictive Maintenance Revenue (Million USD) (2013-2018)
3.9 eMaint
3.9.1 Company Profile
3.9.2 Main Business/Business Overview
3.9.3 Products, Services and Solutions
3.9.4 Operational Predictive Maintenance Revenue (Million USD) (2013-2018)

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