Report overview
Predictive Maintenance for Manufacturing Industry is a technique to predict the future failure point of a machine component, so that the component can be replaced, based on a plan, just before it fails, equipment downtime is minimized and the component lifetime is maximized.
This report aims to provide a comprehensive presentation of the global market for Predictive Maintenance for Manufacturing Industry, 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 Predictive Maintenance for Manufacturing Industry. This report contains market size and forecasts of Predictive Maintenance for Manufacturing Industry in global, including the following market information:
Global Predictive Maintenance for Manufacturing Industry Market Revenue, 2018-2023, 2024-2029, ($ millions)
Global top five companies in 2022 (%)
The global Predictive Maintenance for Manufacturing Industry market was valued at US$ 1385.3 million in 2022 and is projected to reach US$ 4116.3 million by 2029, at a CAGR of 16.8% during the forecast period. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
The U.S. Market is Estimated at $ Million in 2022, While China is to reach $ Million.
Predictive Maintenance Software Segment to Reach $ Million by 2029, with a % CAGR in next six years.
The global key manufacturers of Predictive Maintenance for Manufacturing Industry include IBM, Software AG, SAS Institute, PTC, General Electric, Robert Bosch GmbH, Rockwell Automation, Schneider Electric and eMaint Enterprises, etc. in 2022, the global top five players have a share approximately % in terms of revenue.
We surveyed the Predictive Maintenance for Manufacturing Industry 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 Predictive Maintenance for Manufacturing Industry Market, by Type, 2018-2023, 2024-2029 ($ millions)
Global Predictive Maintenance for Manufacturing Industry Market Segment Percentages, by Type, 2022 (%)
Predictive Maintenance Software
Predictive Maintenance Service
Global Predictive Maintenance for Manufacturing Industry Market, by Application, 2018-2023, 2024-2029 ($ millions)
Global Predictive Maintenance for Manufacturing Industry Market Segment Percentages, by Application, 2022 (%)
General Equipment Manufacturing
Special Equipment Manufacturing
Other Manufacturing
Global Predictive Maintenance for Manufacturing Industry Market, By Region and Country, 2018-2023, 2024-2029 ($ Millions)
Global Predictive Maintenance for Manufacturing Industry 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 Predictive Maintenance for Manufacturing Industry revenues in global market, 2018-2023 (estimated), ($ millions)
Key companies Predictive Maintenance for Manufacturing Industry revenues share in global market, 2022 (%)
Further, the report presents profiles of competitors in the market, key players include:
IBM
Software AG
SAS Institute
PTC
General Electric
Robert Bosch GmbH
Rockwell Automation
Schneider Electric
eMaint Enterprises
Siemens
Outline of Major Chapters:
Chapter 1: Introduces the definition of Predictive Maintenance for Manufacturing Industry, market overview.
Chapter 2: Global Predictive Maintenance for Manufacturing Industry market size in revenue.
Chapter 3: Detailed analysis of Predictive Maintenance for Manufacturing Industry 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 Predictive Maintenance for Manufacturing Industry 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.
