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Global Predictive Maintenance for Manufacturing Industry Market Research Report 2024
Synopsis
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.
The global Predictive Maintenance for Manufacturing Industry market was valued at US$ 2183.2 million in 2023 and is anticipated to reach US$ 2919.3 million by 2030, witnessing a CAGR of 4.3% during the forecast period 2024-2030.
North American market for Predictive Maintenance for Manufacturing Industry is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for Predictive Maintenance for Manufacturing Industry is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global market for Predictive Maintenance for Manufacturing Industry in General Equipment Manufacturing is estimated to increase from $ million in 2023 to $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The major global companies 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 2023, the world's top three vendors accounted for approximately % of the revenue.
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.
Report Scope
The Predictive Maintenance for Manufacturing Industry market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Predictive Maintenance for Manufacturing Industry market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Predictive Maintenance for Manufacturing Industry companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
IBM
Software AG
SAS Institute
PTC
General Electric
Robert Bosch GmbH
Rockwell Automation
Schneider Electric
eMaint Enterprises
Siemens
Segment by Type
Predictive Maintenance Software
Predictive Maintenance Service
Segment by Application
General Equipment Manufacturing
Special Equipment Manufacturing
Other Manufacturing
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Predictive Maintenance for Manufacturing Industry companies’ competitive landscape, revenue 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, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. 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, and capacity of each country in the world.
Chapter 11: 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 12: The main points and conclusions of the report.
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.
The global Predictive Maintenance for Manufacturing Industry market was valued at US$ 2183.2 million in 2023 and is anticipated to reach US$ 2919.3 million by 2030, witnessing a CAGR of 4.3% during the forecast period 2024-2030.
North American market for Predictive Maintenance for Manufacturing Industry is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for Predictive Maintenance for Manufacturing Industry is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global market for Predictive Maintenance for Manufacturing Industry in General Equipment Manufacturing is estimated to increase from $ million in 2023 to $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The major global companies 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 2023, the world's top three vendors accounted for approximately % of the revenue.
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.
Report Scope
The Predictive Maintenance for Manufacturing Industry market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Predictive Maintenance for Manufacturing Industry market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Predictive Maintenance for Manufacturing Industry companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
IBM
Software AG
SAS Institute
PTC
General Electric
Robert Bosch GmbH
Rockwell Automation
Schneider Electric
eMaint Enterprises
Siemens
Segment by Type
Predictive Maintenance Software
Predictive Maintenance Service
Segment by Application
General Equipment Manufacturing
Special Equipment Manufacturing
Other Manufacturing
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Predictive Maintenance for Manufacturing Industry companies’ competitive landscape, revenue 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, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. 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, and capacity of each country in the world.
Chapter 11: 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 12: The main points and conclusions of the report.
Index1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Predictive Maintenance for Manufacturing Industry Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Predictive Maintenance Software
1.2.3 Predictive Maintenance Service
1.3 Market by Application
1.3.1 Global Predictive Maintenance for Manufacturing Industry Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 General Equipment Manufacturing
1.3.3 Special Equipment Manufacturing
1.3.4 Other Manufacturing
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Predictive Maintenance for Manufacturing Industry Market Perspective (2019-2030)
2.2 Predictive Maintenance for Manufacturing Industry Growth Trends by Region
2.2.1 Global Predictive Maintenance for Manufacturing Industry Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Predictive Maintenance for Manufacturing Industry Historic Market Size by Region (2019-2024)
2.2.3 Predictive Maintenance for Manufacturing Industry Forecasted Market Size by Region (2025-2030)
2.3 Predictive Maintenance for Manufacturing Industry Market Dynamics
2.3.1 Predictive Maintenance for Manufacturing Industry Industry Trends
2.3.2 Predictive Maintenance for Manufacturing Industry Market Drivers
2.3.3 Predictive Maintenance for Manufacturing Industry Market Challenges
2.3.4 Predictive Maintenance for Manufacturing Industry Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Predictive Maintenance for Manufacturing Industry Players by Revenue
3.1.1 Global Top Predictive Maintenance for Manufacturing Industry Players by Revenue (2019-2024)
3.1.2 Global Predictive Maintenance for Manufacturing Industry Revenue Market Share by Players (2019-2024)
3.2 Global Predictive Maintenance for Manufacturing Industry Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Predictive Maintenance for Manufacturing Industry Revenue
3.4 Global Predictive Maintenance for Manufacturing Industry Market Concentration Ratio
3.4.1 Global Predictive Maintenance for Manufacturing Industry Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Predictive Maintenance for Manufacturing Industry Revenue in 2023
3.5 Predictive Maintenance for Manufacturing Industry Key Players Head office and Area Served
3.6 Key Players Predictive Maintenance for Manufacturing Industry Product Solution and Service
3.7 Date of Enter into Predictive Maintenance for Manufacturing Industry Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Predictive Maintenance for Manufacturing Industry Breakdown Data by Type
4.1 Global Predictive Maintenance for Manufacturing Industry Historic Market Size by Type (2019-2024)
4.2 Global Predictive Maintenance for Manufacturing Industry Forecasted Market Size by Type (2025-2030)
5 Predictive Maintenance for Manufacturing Industry Breakdown Data by Application
5.1 Global Predictive Maintenance for Manufacturing Industry Historic Market Size by Application (2019-2024)
5.2 Global Predictive Maintenance for Manufacturing Industry Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Predictive Maintenance for Manufacturing Industry Market Size (2019-2030)
6.2 North America Predictive Maintenance for Manufacturing Industry Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Predictive Maintenance for Manufacturing Industry Market Size by Country (2019-2024)
6.4 North America Predictive Maintenance for Manufacturing Industry Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Predictive Maintenance for Manufacturing Industry Market Size (2019-2030)
7.2 Europe Predictive Maintenance for Manufacturing Industry Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Predictive Maintenance for Manufacturing Industry Market Size by Country (2019-2024)
7.4 Europe Predictive Maintenance for Manufacturing Industry Market Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Predictive Maintenance for Manufacturing Industry Market Size (2019-2030)
8.2 Asia-Pacific Predictive Maintenance for Manufacturing Industry Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Predictive Maintenance for Manufacturing Industry Market Size by Region (2019-2024)
8.4 Asia-Pacific Predictive Maintenance for Manufacturing Industry Market Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Predictive Maintenance for Manufacturing Industry Market Size (2019-2030)
9.2 Latin America Predictive Maintenance for Manufacturing Industry Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Predictive Maintenance for Manufacturing Industry Market Size by Country (2019-2024)
9.4 Latin America Predictive Maintenance for Manufacturing Industry Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Predictive Maintenance for Manufacturing Industry Market Size (2019-2030)
10.2 Middle East & Africa Predictive Maintenance for Manufacturing Industry Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Predictive Maintenance for Manufacturing Industry Market Size by Country (2019-2024)
10.4 Middle East & Africa Predictive Maintenance for Manufacturing Industry Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 IBM
11.1.1 IBM Company Detail
11.1.2 IBM Business Overview
11.1.3 IBM Predictive Maintenance for Manufacturing Industry Introduction
11.1.4 IBM Revenue in Predictive Maintenance for Manufacturing Industry Business (2019-2024)
11.1.5 IBM Recent Development
11.2 Software AG
11.2.1 Software AG Company Detail
11.2.2 Software AG Business Overview
11.2.3 Software AG Predictive Maintenance for Manufacturing Industry Introduction
11.2.4 Software AG Revenue in Predictive Maintenance for Manufacturing Industry Business (2019-2024)
11.2.5 Software AG Recent Development
11.3 SAS Institute
11.3.1 SAS Institute Company Detail
11.3.2 SAS Institute Business Overview
11.3.3 SAS Institute Predictive Maintenance for Manufacturing Industry Introduction
11.3.4 SAS Institute Revenue in Predictive Maintenance for Manufacturing Industry Business (2019-2024)
11.3.5 SAS Institute Recent Development
11.4 PTC
11.4.1 PTC Company Detail
11.4.2 PTC Business Overview
11.4.3 PTC Predictive Maintenance for Manufacturing Industry Introduction
11.4.4 PTC Revenue in Predictive Maintenance for Manufacturing Industry Business (2019-2024)
11.4.5 PTC Recent Development
11.5 General Electric
11.5.1 General Electric Company Detail
11.5.2 General Electric Business Overview
11.5.3 General Electric Predictive Maintenance for Manufacturing Industry Introduction
11.5.4 General Electric Revenue in Predictive Maintenance for Manufacturing Industry Business (2019-2024)
11.5.5 General Electric Recent Development
11.6 Robert Bosch GmbH
11.6.1 Robert Bosch GmbH Company Detail
11.6.2 Robert Bosch GmbH Business Overview
11.6.3 Robert Bosch GmbH Predictive Maintenance for Manufacturing Industry Introduction
11.6.4 Robert Bosch GmbH Revenue in Predictive Maintenance for Manufacturing Industry Business (2019-2024)
11.6.5 Robert Bosch GmbH Recent Development
11.7 Rockwell Automation
11.7.1 Rockwell Automation Company Detail
11.7.2 Rockwell Automation Business Overview
11.7.3 Rockwell Automation Predictive Maintenance for Manufacturing Industry Introduction
11.7.4 Rockwell Automation Revenue in Predictive Maintenance for Manufacturing Industry Business (2019-2024)
11.7.5 Rockwell Automation Recent Development
11.8 Schneider Electric
11.8.1 Schneider Electric Company Detail
11.8.2 Schneider Electric Business Overview
11.8.3 Schneider Electric Predictive Maintenance for Manufacturing Industry Introduction
11.8.4 Schneider Electric Revenue in Predictive Maintenance for Manufacturing Industry Business (2019-2024)
11.8.5 Schneider Electric Recent Development
11.9 eMaint Enterprises
11.9.1 eMaint Enterprises Company Detail
11.9.2 eMaint Enterprises Business Overview
11.9.3 eMaint Enterprises Predictive Maintenance for Manufacturing Industry Introduction
11.9.4 eMaint Enterprises Revenue in Predictive Maintenance for Manufacturing Industry Business (2019-2024)
11.9.5 eMaint Enterprises Recent Development
11.10 Siemens
11.10.1 Siemens Company Detail
11.10.2 Siemens Business Overview
11.10.3 Siemens Predictive Maintenance for Manufacturing Industry Introduction
11.10.4 Siemens Revenue in Predictive Maintenance for Manufacturing Industry Business (2019-2024)
11.10.5 Siemens Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
Published By : QY Research
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