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Predictive Maintenance for Manufacturing-Global Market Insights and Sales Trends 2024
Synopsis
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.
The global Predictive Maintenance for Manufacturing market size is expected to reach US$ 6418.7 million by 2029, growing at a CAGR of 2.9% from 2023 to 2029. The market is mainly driven by the significant applications of Predictive Maintenance for Manufacturing in various end use industries. The expanding demands from the Automotive, Aerospace & Defense, Machinery & Equipment and Power Industry, are propelling Predictive Maintenance for Manufacturing market. On-Premise, one of the segments analysed in this report, is projected to record % CAGR and reach US$ million by the end of the analysis period. Growth in the Cloud-Based segment is estimated at % CAGR for the next seven-year period.
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%
Report Objectives
This report provides market insight on the different segments, by players, by Type, by Application. Market size and forecast (2018-2029) has been provided in the report. The primary objectives of this report are to provide 1) global market size and forecasts, growth rates, market dynamics, industry structure and developments, market situation, trends; 2) global market share and ranking by company; 3) comprehensive presentation of the global market for Predictive Maintenance for Manufacturing, with both quantitative and qualitative analysis through detailed segmentation; 4) detailed value chain analysis and review of growth factors essential for the existing market players and new entrants; 5) emerging opportunities in the market and the future impact of major drivers and restraints of the market.
Key Features of The Study:
This report provides in-depth analysis of the global Predictive Maintenance for Manufacturing market, and provides market size (US$ million) and CAGR for the forecast period (2023-2029), considering 2022 as the base year.
This report profiles key players in the global Predictive Maintenance for Manufacturing market based on the following parameters - company details (found date, headquarters, manufacturing bases), products portfolio, Predictive Maintenance for Manufacturing sales data, market share and ranking.
This report elucidates potential market opportunities across different segments and explains attractive investment proposition matrices for this market.
This report illustrates key insights about market drivers, restraints, opportunities, market trends, regional outlook.
Key companies of Predictive Maintenance for Manufacturing covered in this report include IBM, Software AG, SAS Institute, PTC, Inc, SAP SE, General Electric, Robert Bosch GmbH, Rockwell Automation and Schneider Electric, etc.
The global Predictive Maintenance for Manufacturing market report caters to various stakeholders in this industry including investors, suppliers, product players, distributors, new entrants, and financial analysts.
Market Segmentation
Company Profiles:
IBM
Software AG
SAS Institute
PTC, Inc
SAP SE
General Electric
Robert Bosch GmbH
Rockwell Automation
Schneider Electric
eMaint Enterprises
Global Predictive Maintenance for Manufacturing market, by region:
North America (U.S., Canada, Mexico)
Europe (Germany, France, UK, Italy, etc.)
Asia Pacific (China, Japan, South Korea, Southeast Asia, India, etc.)
South America (Brazil, etc.)
Middle East and Africa (Turkey, GCC Countries, Africa, etc.)
Global Predictive Maintenance for Manufacturing market, Segment by Type:
On-Premise
Cloud-Based
Global Predictive Maintenance for Manufacturing market, by Application
Automotive
Aerospace & Defense
Machinery & Equipment
Power Industry
Others
Core Chapters
Chapter One: Introduces the report scope of the report, executive summary of global and regional market size and CAGR for the history and forecast period (2018-2023, 2024-2029). 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 Two: 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 Three: 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 Four: Detailed analysis of Predictive Maintenance for Manufacturing companies’ competitive landscape, revenue, market share and ranking, latest development plan, merger, and acquisition information, etc.
Chapter Five: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product introduction, revenue, recent development, etc.
Chapter Six, Seven, Eight, Nine and Ten: North America, Europe, Asia Pacific, Latin America, Middle East & Africa, revenue by country.
Chapter Eleven: 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 Twelve: Research Finding/Conclusion
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.
The global Predictive Maintenance for Manufacturing market size is expected to reach US$ 6418.7 million by 2029, growing at a CAGR of 2.9% from 2023 to 2029. The market is mainly driven by the significant applications of Predictive Maintenance for Manufacturing in various end use industries. The expanding demands from the Automotive, Aerospace & Defense, Machinery & Equipment and Power Industry, are propelling Predictive Maintenance for Manufacturing market. On-Premise, one of the segments analysed in this report, is projected to record % CAGR and reach US$ million by the end of the analysis period. Growth in the Cloud-Based segment is estimated at % CAGR for the next seven-year period.
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%
Report Objectives
This report provides market insight on the different segments, by players, by Type, by Application. Market size and forecast (2018-2029) has been provided in the report. The primary objectives of this report are to provide 1) global market size and forecasts, growth rates, market dynamics, industry structure and developments, market situation, trends; 2) global market share and ranking by company; 3) comprehensive presentation of the global market for Predictive Maintenance for Manufacturing, with both quantitative and qualitative analysis through detailed segmentation; 4) detailed value chain analysis and review of growth factors essential for the existing market players and new entrants; 5) emerging opportunities in the market and the future impact of major drivers and restraints of the market.
Key Features of The Study:
This report provides in-depth analysis of the global Predictive Maintenance for Manufacturing market, and provides market size (US$ million) and CAGR for the forecast period (2023-2029), considering 2022 as the base year.
This report profiles key players in the global Predictive Maintenance for Manufacturing market based on the following parameters - company details (found date, headquarters, manufacturing bases), products portfolio, Predictive Maintenance for Manufacturing sales data, market share and ranking.
This report elucidates potential market opportunities across different segments and explains attractive investment proposition matrices for this market.
This report illustrates key insights about market drivers, restraints, opportunities, market trends, regional outlook.
Key companies of Predictive Maintenance for Manufacturing covered in this report include IBM, Software AG, SAS Institute, PTC, Inc, SAP SE, General Electric, Robert Bosch GmbH, Rockwell Automation and Schneider Electric, etc.
The global Predictive Maintenance for Manufacturing market report caters to various stakeholders in this industry including investors, suppliers, product players, distributors, new entrants, and financial analysts.
Market Segmentation
Company Profiles:
IBM
Software AG
SAS Institute
PTC, Inc
SAP SE
General Electric
Robert Bosch GmbH
Rockwell Automation
Schneider Electric
eMaint Enterprises
Global Predictive Maintenance for Manufacturing market, by region:
North America (U.S., Canada, Mexico)
Europe (Germany, France, UK, Italy, etc.)
Asia Pacific (China, Japan, South Korea, Southeast Asia, India, etc.)
South America (Brazil, etc.)
Middle East and Africa (Turkey, GCC Countries, Africa, etc.)
Global Predictive Maintenance for Manufacturing market, Segment by Type:
On-Premise
Cloud-Based
Global Predictive Maintenance for Manufacturing market, by Application
Automotive
Aerospace & Defense
Machinery & Equipment
Power Industry
Others
Core Chapters
Chapter One: Introduces the report scope of the report, executive summary of global and regional market size and CAGR for the history and forecast period (2018-2023, 2024-2029). 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 Two: 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 Three: 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 Four: Detailed analysis of Predictive Maintenance for Manufacturing companies’ competitive landscape, revenue, market share and ranking, latest development plan, merger, and acquisition information, etc.
Chapter Five: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product introduction, revenue, recent development, etc.
Chapter Six, Seven, Eight, Nine and Ten: North America, Europe, Asia Pacific, Latin America, Middle East & Africa, revenue by country.
Chapter Eleven: 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 Twelve: Research Finding/Conclusion
Index1 Market Overview of Predictive Maintenance for Manufacturing
1.1 Predictive Maintenance for Manufacturing Market Overview
1.1.1 Predictive Maintenance for Manufacturing Product Scope
1.1.2 Predictive Maintenance for Manufacturing Market Status and Outlook
1.2 Global Predictive Maintenance for Manufacturing Market Size Overview by Region 2018 VS 2022 VS 2029
1.3 Global Predictive Maintenance for Manufacturing Market Size by Region (2018-2029)
1.4 Global Predictive Maintenance for Manufacturing Historic Market Size by Region (2018-2023)
1.5 Global Predictive Maintenance for Manufacturing Market Size Forecast by Region (2024-2029)
1.6 Key Regions, Predictive Maintenance for Manufacturing Market Size (2018-2029)
1.6.1 North America Predictive Maintenance for Manufacturing Market Size (2018-2029)
1.6.2 Europe Predictive Maintenance for Manufacturing Market Size (2018-2029)
1.6.3 Asia-Pacific Predictive Maintenance for Manufacturing Market Size (2018-2029)
1.6.4 Latin America Predictive Maintenance for Manufacturing Market Size (2018-2029)
1.6.5 Middle East & Africa Predictive Maintenance for Manufacturing Market Size (2018-2029)
2 Predictive Maintenance for Manufacturing Market by Type
2.1 Introduction
2.1.1 On-Premise
2.1.2 Cloud-Based
2.2 Global Predictive Maintenance for Manufacturing Market Size by Type: 2018 VS 2022 VS 2029
2.2.1 Global Predictive Maintenance for Manufacturing Historic Market Size by Type (2018-2023)
2.2.2 Global Predictive Maintenance for Manufacturing Forecasted Market Size by Type (2024-2029)
2.3 Key Regions Market Size by Type
2.3.1 North America Predictive Maintenance for Manufacturing Revenue Breakdown by Type (2018-2029)
2.3.2 Europe Predictive Maintenance for Manufacturing Revenue Breakdown by Type (2018-2029)
2.3.3 Asia-Pacific Predictive Maintenance for Manufacturing Revenue Breakdown by Type (2018-2029)
2.3.4 Latin America Predictive Maintenance for Manufacturing Revenue Breakdown by Type (2018-2029)
2.3.5 Middle East and Africa Predictive Maintenance for Manufacturing Revenue Breakdown by Type (2018-2029)
3 Predictive Maintenance for Manufacturing Market Overview by Application
3.1 Introduction
3.1.1 Automotive
3.1.2 Aerospace & Defense
3.1.3 Machinery & Equipment
3.1.4 Power Industry
3.1.5 Others
3.2 Global Predictive Maintenance for Manufacturing Market Size by Application: 2018 VS 2022 VS 2029
3.2.1 Global Predictive Maintenance for Manufacturing Historic Market Size by Application (2018-2023)
3.2.2 Global Predictive Maintenance for Manufacturing Forecasted Market Size by Application (2024-2029)
3.3 Key Regions Market Size by Application
3.3.1 North America Predictive Maintenance for Manufacturing Revenue Breakdown by Application (2018-2029)
3.3.2 Europe Predictive Maintenance for Manufacturing Revenue Breakdown by Application (2018-2029)
3.3.3 Asia-Pacific Predictive Maintenance for Manufacturing Revenue Breakdown by Application (2018-2029)
3.3.4 Latin America Predictive Maintenance for Manufacturing Revenue Breakdown by Application (2018-2029)
3.3.5 Middle East and Africa Predictive Maintenance for Manufacturing Revenue Breakdown by Application (2018-2029)
4 Predictive Maintenance for Manufacturing Competition Analysis by Players
4.1 Global Predictive Maintenance for Manufacturing Market Size by Players (2018-2023)
4.2 Global Top Players by Company Type (Tier 1, Tier 2 and Tier 3) & (based on the Revenue in Predictive Maintenance for Manufacturing as of 2022)
4.3 Date of Key Players Enter into Predictive Maintenance for Manufacturing Market
4.4 Global Top Players Predictive Maintenance for Manufacturing Headquarters and Area Served
4.5 Key Players Predictive Maintenance for Manufacturing Product Solution and Service
4.6 Competitive Status
4.6.1 Predictive Maintenance for Manufacturing Market Concentration Rate
4.6.2 Mergers & Acquisitions, Expansion Plans
5 Company (Top Players) Profiles
5.1 IBM
5.1.1 IBM Profile
5.1.2 IBM Main Business
5.1.3 IBM Predictive Maintenance for Manufacturing Products, Services and Solutions
5.1.4 IBM Predictive Maintenance for Manufacturing Revenue (US$ Million) & (2018-2023)
5.1.5 IBM Recent Developments
5.2 Software AG
5.2.1 Software AG Profile
5.2.2 Software AG Main Business
5.2.3 Software AG Predictive Maintenance for Manufacturing Products, Services and Solutions
5.2.4 Software AG Predictive Maintenance for Manufacturing Revenue (US$ Million) & (2018-2023)
5.2.5 Software AG Recent Developments
5.3 SAS Institute
5.3.1 SAS Institute Profile
5.3.2 SAS Institute Main Business
5.3.3 SAS Institute Predictive Maintenance for Manufacturing Products, Services and Solutions
5.3.4 SAS Institute Predictive Maintenance for Manufacturing Revenue (US$ Million) & (2018-2023)
5.3.5 PTC, Inc Recent Developments
5.4 PTC, Inc
5.4.1 PTC, Inc Profile
5.4.2 PTC, Inc Main Business
5.4.3 PTC, Inc Predictive Maintenance for Manufacturing Products, Services and Solutions
5.4.4 PTC, Inc Predictive Maintenance for Manufacturing Revenue (US$ Million) & (2018-2023)
5.4.5 PTC, Inc Recent Developments
5.5 SAP SE
5.5.1 SAP SE Profile
5.5.2 SAP SE Main Business
5.5.3 SAP SE Predictive Maintenance for Manufacturing Products, Services and Solutions
5.5.4 SAP SE Predictive Maintenance for Manufacturing Revenue (US$ Million) & (2018-2023)
5.5.5 SAP SE Recent Developments
5.6 General Electric
5.6.1 General Electric Profile
5.6.2 General Electric Main Business
5.6.3 General Electric Predictive Maintenance for Manufacturing Products, Services and Solutions
5.6.4 General Electric Predictive Maintenance for Manufacturing Revenue (US$ Million) & (2018-2023)
5.6.5 General Electric Recent Developments
5.7 Robert Bosch GmbH
5.7.1 Robert Bosch GmbH Profile
5.7.2 Robert Bosch GmbH Main Business
5.7.3 Robert Bosch GmbH Predictive Maintenance for Manufacturing Products, Services and Solutions
5.7.4 Robert Bosch GmbH Predictive Maintenance for Manufacturing Revenue (US$ Million) & (2018-2023)
5.7.5 Robert Bosch GmbH Recent Developments
5.8 Rockwell Automation
5.8.1 Rockwell Automation Profile
5.8.2 Rockwell Automation Main Business
5.8.3 Rockwell Automation Predictive Maintenance for Manufacturing Products, Services and Solutions
5.8.4 Rockwell Automation Predictive Maintenance for Manufacturing Revenue (US$ Million) & (2018-2023)
5.8.5 Rockwell Automation Recent Developments
5.9 Schneider Electric
5.9.1 Schneider Electric Profile
5.9.2 Schneider Electric Main Business
5.9.3 Schneider Electric Predictive Maintenance for Manufacturing Products, Services and Solutions
5.9.4 Schneider Electric Predictive Maintenance for Manufacturing Revenue (US$ Million) & (2018-2023)
5.9.5 Schneider Electric Recent Developments
5.10 eMaint Enterprises
5.10.1 eMaint Enterprises Profile
5.10.2 eMaint Enterprises Main Business
5.10.3 eMaint Enterprises Predictive Maintenance for Manufacturing Products, Services and Solutions
5.10.4 eMaint Enterprises Predictive Maintenance for Manufacturing Revenue (US$ Million) & (2018-2023)
5.10.5 eMaint Enterprises Recent Developments
6 North America
6.1 North America Predictive Maintenance for Manufacturing Market Size by Country (2018-2029)
6.2 U.S.
6.3 Canada
7 Europe
7.1 Europe Predictive Maintenance for Manufacturing Market Size by Country (2018-2029)
7.2 Germany
7.3 France
7.4 U.K.
7.5 Italy
7.6 Russia
7.7 Nordic Countries
7.8 Rest of Europe
8 Asia-Pacific
8.1 Asia-Pacific Predictive Maintenance for Manufacturing Market Size by Region (2018-2029)
8.2 China
8.3 Japan
8.4 South Korea
8.5 Southeast Asia
8.6 India
8.7 Australia
8.8 Rest of Asia-Pacific
9 Latin America
9.1 Latin America Predictive Maintenance for Manufacturing Market Size by Country (2018-2029)
9.2 Mexico
9.3 Brazil
9.4 Rest of Latin America
10 Middle East & Africa
10.1 Middle East & Africa Predictive Maintenance for Manufacturing Market Size by Country (2018-2029)
10.2 Turkey
10.3 Saudi Arabia
10.4 UAE
10.5 Rest of Middle East & Africa
11 Predictive Maintenance for Manufacturing Market Dynamics
11.1 Predictive Maintenance for Manufacturing Industry Trends
11.2 Predictive Maintenance for Manufacturing Market Drivers
11.3 Predictive Maintenance for Manufacturing Market Challenges
11.4 Predictive Maintenance for Manufacturing Market Restraints
12 Research Finding /Conclusion
13 Methodology and Data Source
13.1 Methodology/Research Approach
13.1.1 Research Programs/Design
13.1.2 Market Size Estimation
13.1.3 Market Breakdown and Data Triangulation
13.2 Data Source
13.2.1 Secondary Sources
13.2.2 Primary Sources
13.3 Disclaimer
13.4 Author List
Published By : QY Research
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