Global Predictive Maintenance Market Size, Status and Forecast 2020-2026
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.
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.
Market Analysis and Insights: Global Predictive Maintenance Market
In 2019, the global Predictive Maintenance market size was US$ 2097.2 million and it is expected to reach US$ 6088.5 million by the end of 2026, with a CAGR of 16.3% during 2021-2026.
Global Predictive Maintenance Scope and Market Size
Predictive Maintenance market is segmented by Type, and by Application. Players, stakeholders, and other participants in the global Predictive Maintenance market will be able to gain the upper hand as they use the report as a powerful resource. The segmental analysis focuses on revenue and forecast by Type and by Application in terms of revenue and forecast for the period 2015-2026.
Segment by Type, the Predictive Maintenance market is segmented into Cloud, On-premises, etc.
Segment by Application, the Predictive Maintenance market is segmented into Government, Aerospace and defense, Energy and utilities, Healthcare, Manufacturing, Transportation and logistics, Others, etc.
Regional and Country-level Analysis
The Predictive Maintenance market is analysed and market size information is provided by regions (countries).
The key regions covered in the Predictive Maintenance market report are North America, Europe, China, Japan, Southeast Asia, India and Central & South America, etc.
The report includes country-wise and region-wise market size for the period 2015-2026. It also includes market size and forecast by Type, and by Application segment in terms of revenue for the period 2015-2026.
Predictive Maintenance market competitive landscape provides details and data information by vendors. The report offers comprehensive analysis and accurate statistics on revenue by the player for the period 2015-2020. It also offers detailed analysis supported by reliable statistics on revenue (global and regional level) by player for the period 2015-2020. Details included are company description, major business, company total revenue and the revenue generated in Predictive Maintenance business, the date to enter into the Predictive Maintenance market, Predictive Maintenance product introduction, recent developments, etc.
The major vendors include 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, etc.
This report focuses on the global Predictive Maintenance status, future forecast, growth opportunity, key market and key players. The study objectives are to present the Predictive Maintenance development in North America, Europe, China, Japan, Southeast Asia, India and Central & South America.
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
Cloud
On-premises
Government
Aerospace and defense
Energy and utilities
Healthcare
Manufacturing
Transportation and logistics
Others
North America
Europe
China
Japan
Southeast Asia
India
Central & South America
To analyze global Predictive Maintenance status, future forecast, growth opportunity, key market and key players.
To present the Predictive Maintenance development in North America, Europe, China, Japan, Southeast Asia, India and Central & South America.
To strategically profile the key players and comprehensively analyze their development plan and strategies.
To define, describe and forecast the market by type, market and key regions.
In this study, the years considered to estimate the market size of Predictive Maintenance are as follows:
History Year: 2015-2019
2019
Forecast Year 2020 to 2026
For the data information by region, company, type and application, 2019 is considered as the base year. Whenever data information was unavailable for the base year, the prior year has been considered.
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.
Market Analysis and Insights: Global Predictive Maintenance Market
In 2019, the global Predictive Maintenance market size was US$ 2097.2 million and it is expected to reach US$ 6088.5 million by the end of 2026, with a CAGR of 16.3% during 2021-2026.
Global Predictive Maintenance Scope and Market Size
Predictive Maintenance market is segmented by Type, and by Application. Players, stakeholders, and other participants in the global Predictive Maintenance market will be able to gain the upper hand as they use the report as a powerful resource. The segmental analysis focuses on revenue and forecast by Type and by Application in terms of revenue and forecast for the period 2015-2026.
Segment by Type, the Predictive Maintenance market is segmented into Cloud, On-premises, etc.
Segment by Application, the Predictive Maintenance market is segmented into Government, Aerospace and defense, Energy and utilities, Healthcare, Manufacturing, Transportation and logistics, Others, etc.
Regional and Country-level Analysis
The Predictive Maintenance market is analysed and market size information is provided by regions (countries).
The key regions covered in the Predictive Maintenance market report are North America, Europe, China, Japan, Southeast Asia, India and Central & South America, etc.
The report includes country-wise and region-wise market size for the period 2015-2026. It also includes market size and forecast by Type, and by Application segment in terms of revenue for the period 2015-2026.
Competitive Landscape
and Predictive Maintenance Market Share AnalysisPredictive Maintenance market competitive landscape provides details and data information by vendors. The report offers comprehensive analysis and accurate statistics on revenue by the player for the period 2015-2020. It also offers detailed analysis supported by reliable statistics on revenue (global and regional level) by player for the period 2015-2020. Details included are company description, major business, company total revenue and the revenue generated in Predictive Maintenance business, the date to enter into the Predictive Maintenance market, Predictive Maintenance product introduction, recent developments, etc.
The major vendors include 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, etc.
This report focuses on the global Predictive Maintenance status, future forecast, growth opportunity, key market and key players. The study objectives are to present the Predictive Maintenance development in North America, Europe, China, Japan, Southeast Asia, India and Central & South America.
The key players covered in this study
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
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
Market segment by Regions/Countries, this report covers
North America
Europe
China
Japan
Southeast Asia
India
Central & South America
The study objectives of this report are:
To analyze global Predictive Maintenance status, future forecast, growth opportunity, key market and key players.
To present the Predictive Maintenance development in North America, Europe, China, Japan, Southeast Asia, India and Central & South America.
To strategically profile the key players and comprehensively analyze their development plan and strategies.
To define, describe and forecast the market by type, market and key regions.
In this study, the years considered to estimate the market size of Predictive Maintenance are as follows:
History Year: 2015-2019
Base Year:
2019Estimated Year:
2020Forecast Year 2020 to 2026
For the data information by region, company, type and application, 2019 is considered as the base year. Whenever data information was unavailable for the base year, the prior year has been considered.
Frequently Asked Questions
This market study covers the global and regional market with an in-depth analysis of the overall growth prospects in the market. Furthermore, it sheds light on the comprehensive competitive landscape of the global market. The report further offers a dashboard overview of leading companies encompassing their successful marketing strategies, market contribution, recent developments in both historic and present contexts.
- By product type
- By End User/Applications
- By Technology
- By Region
The report provides a detailed evaluation of the market by highlighting information on different aspects which include drivers, restraints, opportunities, and threats. This information can help stakeholders to make appropriate decisions before investing.
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