Report overview
Modern businesses are in a time of unprecedented change and competition. The Amazon Effect has led to a rapid rise in consumer demands for control, personalization, and speed. A shifting trade and political climate has left many companies struggling to maintain affordable supply and manufacturing relationships. And as more and more businesses undergo digital transformation, competition is rising and the margin for error is increasingly slim. As a result, today?s business leaders are looking to gain a competitive edge through smart solutions, solutions mainly include reactive, preventive, and predictive maintenance, which predict when asset maintenance is needed, help increase cost efficiency, and streamline their often complex enterprise asset management requirements.
This report aims to provide a comprehensive presentation of the global market for Predictive Maintenance for Manufacturing, 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. This report contains market size and forecasts of Predictive Maintenance for Manufacturing in global, including the following market information:
Global Predictive Maintenance for Manufacturing Market Revenue, 2018-2023, 2024-2029, ($ millions)
Global top five companies in 2022 (%)
The global Predictive Maintenance for Manufacturing market was valued at US$ 5369.1 million in 2022 and is projected to reach US$ 6520.1 million by 2029, at a CAGR of 2.8% during the forecast period. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
Global core predictive maintenance solution manufacturers include IBM, Microsoft, SAP etc.The top 5 companies hold a share about 70%.North America is the largest market, with a share about 35%, followed by Europe and Asia Pacific with the share about 36%
We surveyed the Predictive Maintenance for Manufacturing 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 Market, by Type, 2018-2023, 2024-2029 ($ millions)
Global Predictive Maintenance for Manufacturing Market Segment Percentages, by Type, 2022 (%)
On-Premise
Cloud-Based
Global Predictive Maintenance for Manufacturing Market, by Application, 2018-2023, 2024-2029 ($ millions)
Global Predictive Maintenance for Manufacturing Market Segment Percentages, by Application, 2022 (%)
Automotive
Aerospace & Defense
Machinery & Equipment
Power Industry
Others
Global Predictive Maintenance for Manufacturing Market, By Region and Country, 2018-2023, 2024-2029 ($ Millions)
Global Predictive Maintenance for Manufacturing 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 revenues in global market, 2018-2023 (estimated), ($ millions)
Key companies Predictive Maintenance for Manufacturing 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, Inc
SAP SE
General Electric
Robert Bosch GmbH
Rockwell Automation
Schneider Electric
eMaint Enterprises
Outline of Major Chapters:
Chapter 1: Introduces the definition of Predictive Maintenance for Manufacturing, market overview.
Chapter 2: Global Predictive Maintenance for Manufacturing market size in revenue.
Chapter 3: Detailed analysis of Predictive Maintenance for Manufacturing 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 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.
