Industrial Predictive Maintenance Market

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.
Industrial Predictive Maintenance Market aims to provide a comprehensive presentation of the global market for Industrial Predictive Maintenance, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Industrial Predictive Maintenance. Industrial Predictive Maintenance Market contains market size and forecasts of Industrial Predictive Maintenance in global, including the following market information:
Global Industrial Predictive Maintenance Market Revenue, 2018-2023, 2024-2029, ($ millions)
Global top five companies in 2022 (%)
The global Industrial Predictive Maintenance market was valued at US$ million in 2022 and is projected to reach US$ million by 2029, at a CAGR of % during the forecast period. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
Predictive maintenance evaluates the condition of equipment by performing periodic (offline) or continuous (online) equipment condition monitoring. The ultimate goal of the approach is to perform maintenance at a scheduled point in time when the maintenance activity is most cost-effective and before the equipment loses performance within a threshold. This results in a reduction in unplanned downtime costs because of failure where for instance costs can be in the hundreds of thousands per day depending on industry.
We surveyed the Industrial Predictive Maintenance companies, and industry experts on this industry, involving the revenue, demand, product type, recent developments and plans, industry trends, drivers, challenges, obstacles, and potential risks.
Total Market by Segment:
Global Industrial Predictive Maintenance Market, by Type, 2018-2023, 2024-2029 ($ millions)
Global Industrial Predictive Maintenance Market Segment Percentages, by Type, 2022 (%)
Cloud-Based
On-premises
Global Industrial Predictive Maintenance Market, by Application, 2018-2023, 2024-2029 ($ millions)
Global Industrial Predictive Maintenance Market Segment Percentages, by Application, 2022 (%)
Government
Aerospace and Defense
Energy and Utilities
Healthcare
Manufacturing
Transportation and Logistics
Global Industrial Predictive Maintenance Market, By Region and Country, 2018-2023, 2024-2029 ($ Millions)
Global Industrial Predictive Maintenance Market Segment Percentages, By Region and Country, 2022 (%)
North America
US
Canada
Mexico
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Benelux
Rest of Europe
Asia
China
Japan
South Korea
Southeast Asia
India
Rest of Asia
South America
Brazil
Argentina
Rest of South America
Middle East & Africa
Turkey
Israel
Saudi Arabia
UAE
Rest of Middle East & Africa
Competitor Analysis
The report also provides analysis of leading market participants including:
Key companies Industrial Predictive Maintenance revenues in global market, 2018-2023 (estimated), ($ millions)
Key companies Industrial Predictive Maintenance revenues share in global market, 2022 (%)
Further, the report presents profiles of competitors in the market, key players include:
Augury Systems
Bosch Software Innovations
C3 IoT
Dell Technologies
Fluke Corporation
General Electric
Hitachi
Honeywell
IBM
PTC
Rapidminer
Rockwell Automation
SAP
SAS Institute
Schneider Electric
Senseye
SKF
Software
Softweb Solutions
T-Systems International
Warwick Analytics
Outline of Major Chapters:
Chapter 1: Introduces the definition of Industrial Predictive Maintenance, market overview.
Chapter 2: Global Industrial Predictive Maintenance market size in revenue.
Chapter 3: Detailed analysis of Industrial Predictive Maintenance company competitive landscape, revenue and market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6: Sales of Industrial Predictive Maintenance in regional level and country level. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space of each country in the world.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 8: The main points and conclusions of the report.