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Predictive Maintenance-Global Market Insights and Sales Trends 2025
Synopsis
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 global Predictive Maintenance market size is expected to reach US$ 7080.9 million by 2029, growing at a CAGR of 16.3% from 2023 to 2029. The market is mainly driven by the significant applications of Predictive Maintenance in various end use industries. The expanding demands from the Government, Aerospace and Defense, Energy and Utilities and Healthcare, are propelling Predictive Maintenance market. Cloud, 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 On-premises segment is estimated at % CAGR for the next seven-year period.
North America is expected to have the largest market share and would dominate the predictive maintenance market during the forecast period. The Asia-Pacific (APAC) region offers potential growth opportunities for the market and is expected to grow at the highest CAGR during the forecast period. APAC and Middle East & Africa (MEA) markets are investing heavily on predictive maintenance solutions and services to increase their production efficiency by reducing unplanned downtime and operational costs.
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, 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 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 market based on the following parameters - company details (found date, headquarters, manufacturing bases), products portfolio, Predictive Maintenance 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 covered in this report include Augury Systems, Bosch Software Innovations, C3 IoT, Dell, Fluke, General Electric, Hitachi, Honeywell and IBM, etc.
The global Predictive Maintenance market report caters to various stakeholders in this industry including investors, suppliers, product players, distributors, new entrants, and financial analysts.
Market Segmentation
Company Profiles:
Augury Systems
Bosch Software Innovations
C3 IoT
Dell
Fluke
General Electric
Hitachi
Honeywell
IBM
PTC
Rapidminer
Rockwell
SAP
SAS Institute
Schneider
Senseye
Software
Softweb Solutions
T-Systems International
Warwick Analytics
Global Predictive Maintenance 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 market, Segment by Type:
Cloud
On-premises
Global Predictive Maintenance market, by Application
Government
Aerospace and Defense
Energy and Utilities
Healthcare
Manufacturing
Transportation and Logistics
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 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
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 global Predictive Maintenance market size is expected to reach US$ 7080.9 million by 2029, growing at a CAGR of 16.3% from 2023 to 2029. The market is mainly driven by the significant applications of Predictive Maintenance in various end use industries. The expanding demands from the Government, Aerospace and Defense, Energy and Utilities and Healthcare, are propelling Predictive Maintenance market. Cloud, 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 On-premises segment is estimated at % CAGR for the next seven-year period.
North America is expected to have the largest market share and would dominate the predictive maintenance market during the forecast period. The Asia-Pacific (APAC) region offers potential growth opportunities for the market and is expected to grow at the highest CAGR during the forecast period. APAC and Middle East & Africa (MEA) markets are investing heavily on predictive maintenance solutions and services to increase their production efficiency by reducing unplanned downtime and operational costs.
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, 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 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 market based on the following parameters - company details (found date, headquarters, manufacturing bases), products portfolio, Predictive Maintenance 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 covered in this report include Augury Systems, Bosch Software Innovations, C3 IoT, Dell, Fluke, General Electric, Hitachi, Honeywell and IBM, etc.
The global Predictive Maintenance market report caters to various stakeholders in this industry including investors, suppliers, product players, distributors, new entrants, and financial analysts.
Market Segmentation
Company Profiles:
Augury Systems
Bosch Software Innovations
C3 IoT
Dell
Fluke
General Electric
Hitachi
Honeywell
IBM
PTC
Rapidminer
Rockwell
SAP
SAS Institute
Schneider
Senseye
Software
Softweb Solutions
T-Systems International
Warwick Analytics
Global Predictive Maintenance 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 market, Segment by Type:
Cloud
On-premises
Global Predictive Maintenance market, by Application
Government
Aerospace and Defense
Energy and Utilities
Healthcare
Manufacturing
Transportation and Logistics
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 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
1.1 Predictive Maintenance Market Overview
1.1.1 Predictive Maintenance Product Scope
1.1.2 Predictive Maintenance Market Status and Outlook
1.2 Global Predictive Maintenance Market Size Overview by Region 2018 VS 2022 VS 2029
1.3 Global Predictive Maintenance Market Size by Region (2018-2029)
1.4 Global Predictive Maintenance Historic Market Size by Region (2018-2023)
1.5 Global Predictive Maintenance Market Size Forecast by Region (2024-2029)
1.6 Key Regions, Predictive Maintenance Market Size (2018-2029)
1.6.1 North America Predictive Maintenance Market Size (2018-2029)
1.6.2 Europe Predictive Maintenance Market Size (2018-2029)
1.6.3 Asia-Pacific Predictive Maintenance Market Size (2018-2029)
1.6.4 Latin America Predictive Maintenance Market Size (2018-2029)
1.6.5 Middle East & Africa Predictive Maintenance Market Size (2018-2029)
2 Predictive Maintenance Market by Type
2.1 Introduction
2.1.1 Cloud
2.1.2 On-premises
2.2 Global Predictive Maintenance Market Size by Type: 2018 VS 2022 VS 2029
2.2.1 Global Predictive Maintenance Historic Market Size by Type (2018-2023)
2.2.2 Global Predictive Maintenance Forecasted Market Size by Type (2024-2029)
2.3 Key Regions Market Size by Type
2.3.1 North America Predictive Maintenance Revenue Breakdown by Type (2018-2029)
2.3.2 Europe Predictive Maintenance Revenue Breakdown by Type (2018-2029)
2.3.3 Asia-Pacific Predictive Maintenance Revenue Breakdown by Type (2018-2029)
2.3.4 Latin America Predictive Maintenance Revenue Breakdown by Type (2018-2029)
2.3.5 Middle East and Africa Predictive Maintenance Revenue Breakdown by Type (2018-2029)
3 Predictive Maintenance Market Overview by Application
3.1 Introduction
3.1.1 Government
3.1.2 Aerospace and Defense
3.1.3 Energy and Utilities
3.1.4 Healthcare
3.1.5 Manufacturing
3.1.6 Transportation and Logistics
3.1.7 Others
3.2 Global Predictive Maintenance Market Size by Application: 2018 VS 2022 VS 2029
3.2.1 Global Predictive Maintenance Historic Market Size by Application (2018-2023)
3.2.2 Global Predictive Maintenance Forecasted Market Size by Application (2024-2029)
3.3 Key Regions Market Size by Application
3.3.1 North America Predictive Maintenance Revenue Breakdown by Application (2018-2029)
3.3.2 Europe Predictive Maintenance Revenue Breakdown by Application (2018-2029)
3.3.3 Asia-Pacific Predictive Maintenance Revenue Breakdown by Application (2018-2029)
3.3.4 Latin America Predictive Maintenance Revenue Breakdown by Application (2018-2029)
3.3.5 Middle East and Africa Predictive Maintenance Revenue Breakdown by Application (2018-2029)
4 Predictive Maintenance Competition Analysis by Players
4.1 Global Predictive Maintenance 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 as of 2022)
4.3 Date of Key Players Enter into Predictive Maintenance Market
4.4 Global Top Players Predictive Maintenance Headquarters and Area Served
4.5 Key Players Predictive Maintenance Product Solution and Service
4.6 Competitive Status
4.6.1 Predictive Maintenance Market Concentration Rate
4.6.2 Mergers & Acquisitions, Expansion Plans
5 Company (Top Players) Profiles
5.1 Augury Systems
5.1.1 Augury Systems Profile
5.1.2 Augury Systems Main Business
5.1.3 Augury Systems Predictive Maintenance Products, Services and Solutions
5.1.4 Augury Systems Predictive Maintenance Revenue (US$ Million) & (2018-2023)
5.1.5 Augury Systems Recent Developments
5.2 Bosch Software Innovations
5.2.1 Bosch Software Innovations Profile
5.2.2 Bosch Software Innovations Main Business
5.2.3 Bosch Software Innovations Predictive Maintenance Products, Services and Solutions
5.2.4 Bosch Software Innovations Predictive Maintenance Revenue (US$ Million) & (2018-2023)
5.2.5 Bosch Software Innovations Recent Developments
5.3 C3 IoT
5.3.1 C3 IoT Profile
5.3.2 C3 IoT Main Business
5.3.3 C3 IoT Predictive Maintenance Products, Services and Solutions
5.3.4 C3 IoT Predictive Maintenance Revenue (US$ Million) & (2018-2023)
5.3.5 Dell Recent Developments
5.4 Dell
5.4.1 Dell Profile
5.4.2 Dell Main Business
5.4.3 Dell Predictive Maintenance Products, Services and Solutions
5.4.4 Dell Predictive Maintenance Revenue (US$ Million) & (2018-2023)
5.4.5 Dell Recent Developments
5.5 Fluke
5.5.1 Fluke Profile
5.5.2 Fluke Main Business
5.5.3 Fluke Predictive Maintenance Products, Services and Solutions
5.5.4 Fluke Predictive Maintenance Revenue (US$ Million) & (2018-2023)
5.5.5 Fluke 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 Products, Services and Solutions
5.6.4 General Electric Predictive Maintenance Revenue (US$ Million) & (2018-2023)
5.6.5 General Electric Recent Developments
5.7 Hitachi
5.7.1 Hitachi Profile
5.7.2 Hitachi Main Business
5.7.3 Hitachi Predictive Maintenance Products, Services and Solutions
5.7.4 Hitachi Predictive Maintenance Revenue (US$ Million) & (2018-2023)
5.7.5 Hitachi Recent Developments
5.8 Honeywell
5.8.1 Honeywell Profile
5.8.2 Honeywell Main Business
5.8.3 Honeywell Predictive Maintenance Products, Services and Solutions
5.8.4 Honeywell Predictive Maintenance Revenue (US$ Million) & (2018-2023)
5.8.5 Honeywell Recent Developments
5.9 IBM
5.9.1 IBM Profile
5.9.2 IBM Main Business
5.9.3 IBM Predictive Maintenance Products, Services and Solutions
5.9.4 IBM Predictive Maintenance Revenue (US$ Million) & (2018-2023)
5.9.5 IBM Recent Developments
5.10 PTC
5.10.1 PTC Profile
5.10.2 PTC Main Business
5.10.3 PTC Predictive Maintenance Products, Services and Solutions
5.10.4 PTC Predictive Maintenance Revenue (US$ Million) & (2018-2023)
5.10.5 PTC Recent Developments
5.11 Rapidminer
5.11.1 Rapidminer Profile
5.11.2 Rapidminer Main Business
5.11.3 Rapidminer Predictive Maintenance Products, Services and Solutions
5.11.4 Rapidminer Predictive Maintenance Revenue (US$ Million) & (2018-2023)
5.11.5 Rapidminer Recent Developments
5.12 Rockwell
5.12.1 Rockwell Profile
5.12.2 Rockwell Main Business
5.12.3 Rockwell Predictive Maintenance Products, Services and Solutions
5.12.4 Rockwell Predictive Maintenance Revenue (US$ Million) & (2018-2023)
5.12.5 Rockwell Recent Developments
5.13 SAP
5.13.1 SAP Profile
5.13.2 SAP Main Business
5.13.3 SAP Predictive Maintenance Products, Services and Solutions
5.13.4 SAP Predictive Maintenance Revenue (US$ Million) & (2018-2023)
5.13.5 SAP Recent Developments
5.14 SAS Institute
5.14.1 SAS Institute Profile
5.14.2 SAS Institute Main Business
5.14.3 SAS Institute Predictive Maintenance Products, Services and Solutions
5.14.4 SAS Institute Predictive Maintenance Revenue (US$ Million) & (2018-2023)
5.14.5 SAS Institute Recent Developments
5.15 Schneider
5.15.1 Schneider Profile
5.15.2 Schneider Main Business
5.15.3 Schneider Predictive Maintenance Products, Services and Solutions
5.15.4 Schneider Predictive Maintenance Revenue (US$ Million) & (2018-2023)
5.15.5 Schneider Recent Developments
5.16 Senseye
5.16.1 Senseye Profile
5.16.2 Senseye Main Business
5.16.3 Senseye Predictive Maintenance Products, Services and Solutions
5.16.4 Senseye Predictive Maintenance Revenue (US$ Million) & (2018-2023)
5.16.5 Senseye Recent Developments
5.17 Software
5.17.1 Software Profile
5.17.2 Software Main Business
5.17.3 Software Predictive Maintenance Products, Services and Solutions
5.17.4 Software Predictive Maintenance Revenue (US$ Million) & (2018-2023)
5.17.5 Software Recent Developments
5.18 Softweb Solutions
5.18.1 Softweb Solutions Profile
5.18.2 Softweb Solutions Main Business
5.18.3 Softweb Solutions Predictive Maintenance Products, Services and Solutions
5.18.4 Softweb Solutions Predictive Maintenance Revenue (US$ Million) & (2018-2023)
5.18.5 Softweb Solutions Recent Developments
5.19 T-Systems International
5.19.1 T-Systems International Profile
5.19.2 T-Systems International Main Business
5.19.3 T-Systems International Predictive Maintenance Products, Services and Solutions
5.19.4 T-Systems International Predictive Maintenance Revenue (US$ Million) & (2018-2023)
5.19.5 T-Systems International Recent Developments
5.20 Warwick Analytics
5.20.1 Warwick Analytics Profile
5.20.2 Warwick Analytics Main Business
5.20.3 Warwick Analytics Predictive Maintenance Products, Services and Solutions
5.20.4 Warwick Analytics Predictive Maintenance Revenue (US$ Million) & (2018-2023)
5.20.5 Warwick Analytics Recent Developments
6 North America
6.1 North America Predictive Maintenance Market Size by Country (2018-2029)
6.2 U.S.
6.3 Canada
7 Europe
7.1 Europe Predictive Maintenance 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 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 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 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 Market Dynamics
11.1 Predictive Maintenance Industry Trends
11.2 Predictive Maintenance Market Drivers
11.3 Predictive Maintenance Market Challenges
11.4 Predictive Maintenance 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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