Industrial Predictive maintenance is regular monitoring of the actual mechanical condition, operating efficiency, and other indicators of the operating condition of machines and process systems will provide the data required to ensure the maximum interval between repairs and minimize the number and cost of unscheduled outages created by the failures.
The Industrial Predictive Maintenance market revenue was xx.xx Million USD in 2019, and will reach xx.xx Million USD in 2025, with a CAGR of x.x% during 2020-2025.
Under COVID-19 outbreak globally, this report provides 360 degrees of analysis from supply chain, import and export control to regional government policy and future influence on the industry. Detailed analysis about market status (2015-2020), enterprise competition pattern, advantages and disadvantages of enterprise products, industry development trends (2020-2025), regional industrial layout characteristics and macroeconomic policies, industrial policy has also been included. From raw materials to end users of this industry are analyzed scientifically, the trends of product circulation and sales channel will be presented as well. Considering COVID-19, this report provides comprehensive and in-depth analysis on how the epidemic push this industry transformation and reform.
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In COVID-19 outbreak, Chapter 2.2 of this report provides an analysis of the impact of COVID-19 on the global economy and the Industrial Predictive Maintenance industry.
Chapter 3.7 covers the analysis of the impact of COVID-19 from the perspective of the industry chain.
In addition, chapters 7-11 consider the impact of COVID-19 on the regional economy.
The Industrial Predictive Maintenance market can be split based on product types, major applications, and important countries as follows:
Key players in the global Industrial Predictive Maintenance market covered in Chapter 12:
Microsoft
Hitachi
AsiaAnalytics
Bosch Software Innovations
Civis Analytics
PTC, RapidMiner
SKF
Oracle
SHINKAWA Electric
ETS Solutions Asia
Predictive Service
SAP SE
Augury Systems Ltd.
Carrier Corporation
SAS Institute
Yokogawa Electric
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In Chapter 4 and 14.1, on the basis of types, the Industrial Predictive Maintenance market from 2015 to 2025 is primarily split into:
Cloud
On-premises
In Chapter 5 and 14.2, on the basis of applications, the Industrial Predictive Maintenance market from 2015 to 2025 covers:
Oil & Gas
Power Generation
Transportation
Chemical & Petrochemical
Aerospace & Defense
Geographically, the detailed analysis of consumption, revenue, market share and growth rate, historic and forecast (2015-2025) of the following regions are covered in Chapter 6, 7, 8, 9, 10, 11, 14:
North America (Covered in Chapter 7 and 14)
United States
Canada
Mexico
Europe (Covered in Chapter 8 and 14)
Germany
UK
France
Italy
Spain
Russia
Others
Asia-Pacific (Covered in Chapter 9 and 14)
China
Japan
South Korea
Australia
India
Southeast Asia
Others
Middle East and Africa (Covered in Chapter 10 and 14)
Saudi Arabia
UAE
Egypt
Nigeria
South Africa
Others
South America (Covered in Chapter 11 and 14)
Brazil
Argentina
Columbia
Chile
Others
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Years considered for this report:
Historical Years: 2015-2019
Base Year: 2019
Estimated Year: 2020
Forecast Period: 2020-2025
Table of Contents
Table of Content
1 Industrial Predictive Maintenance Introduction and Market Overview
1.1 Objectives of the Study
1.2 Overview of Industrial Predictive Maintenance
1.3 Scope of The Study
1.3.1 Key Market Segments
1.3.2 Players Covered
1.3.3 COVID-19’s impact on the Industrial Predictive Maintenance industry
1.4 Methodology of The Study
1.5 Research Data Source
2 Executive Summary
2.1 Market Overview
2.1.1 Global Industrial Predictive Maintenance Market Size, 2015 – 2020
2.1.2 Global Industrial Predictive Maintenance Market Size by Type, 2015 – 2020
2.1.3 Global Industrial Predictive Maintenance Market Size by Application, 2015 – 2020
2.1.4 Global Industrial Predictive Maintenance Market Size by Region, 2015 – 2025
2.2 Business Environment Analysis
2.2.1 Global COVID-19 Status and Economic Overview
2.2.2 Influence of COVID-19 Outbreak on Industrial Predictive Maintenance Industry Development
3 Industry Chain Analysis
……continued