The Market Reports
Call: +1-631-407-1315 / +91-750-729-1479
Email: sales@themarketreports.com
Industrial 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 main promise of predictive maintenance is to allow convenient scheduling of corrective maintenance, and to prevent unexpected equipment failures.
The global Industrial Predictive Maintenance market size is expected to reach US$ 2919.3 million by 2029, growing at a CAGR of 4.3% from 2023 to 2029. The market is mainly driven by the significant applications of Industrial Predictive Maintenance in various end use industries. The expanding demands from the Government, Aerospace and Defense, Energy and Utilities and Healthcare, are propelling Industrial Predictive Maintenance market. Cloud-Based, 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.
Predictive maintenance evaluates the condition of equipment by performing periodic (offline) or continuous (online) equipment condition monitoring. The ultimate goal of the approach is to perform maintenance at a scheduled point in time when the maintenance activity is most cost-effective and before the equipment loses performance within a threshold. This results in a reduction in unplanned downtime costs because of failure where for instance costs can be in the hundreds of thousands per day depending on industry.
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 Industrial 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 Industrial 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 Industrial Predictive Maintenance market based on the following parameters - company details (found date, headquarters, manufacturing bases), products portfolio, Industrial 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 Industrial Predictive Maintenance covered in this report include Augury Systems, Bosch Software Innovations, C3 IoT, Dell Technologies, Fluke Corporation, General Electric, Hitachi, Honeywell and IBM, etc.
The global Industrial 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 Technologies
Fluke Corporation
General Electric
Hitachi
Honeywell
IBM
PTC
Rapidminer
Rockwell Automation
SAP
SAS Institute
Schneider Electric
Senseye
SKF
Software
Softweb Solutions
T-Systems International
Warwick Analytics
Global Industrial 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 Industrial Predictive Maintenance market, Segment by Type:
Cloud-Based
On-premises
Global Industrial Predictive Maintenance market, by Application
Government
Aerospace and Defense
Energy and Utilities
Healthcare
Manufacturing
Transportation and Logistics
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 Industrial 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 main promise of predictive maintenance is to allow convenient scheduling of corrective maintenance, and to prevent unexpected equipment failures.
The global Industrial Predictive Maintenance market size is expected to reach US$ 2919.3 million by 2029, growing at a CAGR of 4.3% from 2023 to 2029. The market is mainly driven by the significant applications of Industrial Predictive Maintenance in various end use industries. The expanding demands from the Government, Aerospace and Defense, Energy and Utilities and Healthcare, are propelling Industrial Predictive Maintenance market. Cloud-Based, 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.
Predictive maintenance evaluates the condition of equipment by performing periodic (offline) or continuous (online) equipment condition monitoring. The ultimate goal of the approach is to perform maintenance at a scheduled point in time when the maintenance activity is most cost-effective and before the equipment loses performance within a threshold. This results in a reduction in unplanned downtime costs because of failure where for instance costs can be in the hundreds of thousands per day depending on industry.
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 Industrial 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 Industrial 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 Industrial Predictive Maintenance market based on the following parameters - company details (found date, headquarters, manufacturing bases), products portfolio, Industrial 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 Industrial Predictive Maintenance covered in this report include Augury Systems, Bosch Software Innovations, C3 IoT, Dell Technologies, Fluke Corporation, General Electric, Hitachi, Honeywell and IBM, etc.
The global Industrial 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 Technologies
Fluke Corporation
General Electric
Hitachi
Honeywell
IBM
PTC
Rapidminer
Rockwell Automation
SAP
SAS Institute
Schneider Electric
Senseye
SKF
Software
Softweb Solutions
T-Systems International
Warwick Analytics
Global Industrial 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 Industrial Predictive Maintenance market, Segment by Type:
Cloud-Based
On-premises
Global Industrial Predictive Maintenance market, by Application
Government
Aerospace and Defense
Energy and Utilities
Healthcare
Manufacturing
Transportation and Logistics
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 Industrial 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 Industrial Predictive Maintenance
1.1 Industrial Predictive Maintenance Market Overview
1.1.1 Industrial Predictive Maintenance Product Scope
1.1.2 Industrial Predictive Maintenance Market Status and Outlook
1.2 Global Industrial Predictive Maintenance Market Size Overview by Region 2018 VS 2022 VS 2029
1.3 Global Industrial Predictive Maintenance Market Size by Region (2018-2029)
1.4 Global Industrial Predictive Maintenance Historic Market Size by Region (2018-2023)
1.5 Global Industrial Predictive Maintenance Market Size Forecast by Region (2024-2029)
1.6 Key Regions, Industrial Predictive Maintenance Market Size (2018-2029)
1.6.1 North America Industrial Predictive Maintenance Market Size (2018-2029)
1.6.2 Europe Industrial Predictive Maintenance Market Size (2018-2029)
1.6.3 Asia-Pacific Industrial Predictive Maintenance Market Size (2018-2029)
1.6.4 Latin America Industrial Predictive Maintenance Market Size (2018-2029)
1.6.5 Middle East & Africa Industrial Predictive Maintenance Market Size (2018-2029)
2 Industrial Predictive Maintenance Market by Type
2.1 Introduction
2.1.1 Cloud-Based
2.1.2 On-premises
2.2 Global Industrial Predictive Maintenance Market Size by Type: 2018 VS 2022 VS 2029
2.2.1 Global Industrial Predictive Maintenance Historic Market Size by Type (2018-2023)
2.2.2 Global Industrial Predictive Maintenance Forecasted Market Size by Type (2024-2029)
2.3 Key Regions Market Size by Type
2.3.1 North America Industrial Predictive Maintenance Revenue Breakdown by Type (2018-2029)
2.3.2 Europe Industrial Predictive Maintenance Revenue Breakdown by Type (2018-2029)
2.3.3 Asia-Pacific Industrial Predictive Maintenance Revenue Breakdown by Type (2018-2029)
2.3.4 Latin America Industrial Predictive Maintenance Revenue Breakdown by Type (2018-2029)
2.3.5 Middle East and Africa Industrial Predictive Maintenance Revenue Breakdown by Type (2018-2029)
3 Industrial 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
3.2 Global Industrial Predictive Maintenance Market Size by Application: 2018 VS 2022 VS 2029
3.2.1 Global Industrial Predictive Maintenance Historic Market Size by Application (2018-2023)
3.2.2 Global Industrial Predictive Maintenance Forecasted Market Size by Application (2024-2029)
3.3 Key Regions Market Size by Application
3.3.1 North America Industrial Predictive Maintenance Revenue Breakdown by Application (2018-2029)
3.3.2 Europe Industrial Predictive Maintenance Revenue Breakdown by Application (2018-2029)
3.3.3 Asia-Pacific Industrial Predictive Maintenance Revenue Breakdown by Application (2018-2029)
3.3.4 Latin America Industrial Predictive Maintenance Revenue Breakdown by Application (2018-2029)
3.3.5 Middle East and Africa Industrial Predictive Maintenance Revenue Breakdown by Application (2018-2029)
4 Industrial Predictive Maintenance Competition Analysis by Players
4.1 Global Industrial 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 Industrial Predictive Maintenance as of 2022)
4.3 Date of Key Players Enter into Industrial Predictive Maintenance Market
4.4 Global Top Players Industrial Predictive Maintenance Headquarters and Area Served
4.5 Key Players Industrial Predictive Maintenance Product Solution and Service
4.6 Competitive Status
4.6.1 Industrial 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 Industrial Predictive Maintenance Products, Services and Solutions
5.1.4 Augury Systems Industrial 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 Industrial Predictive Maintenance Products, Services and Solutions
5.2.4 Bosch Software Innovations Industrial 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 Industrial Predictive Maintenance Products, Services and Solutions
5.3.4 C3 IoT Industrial Predictive Maintenance Revenue (US$ Million) & (2018-2023)
5.3.5 Dell Technologies Recent Developments
5.4 Dell Technologies
5.4.1 Dell Technologies Profile
5.4.2 Dell Technologies Main Business
5.4.3 Dell Technologies Industrial Predictive Maintenance Products, Services and Solutions
5.4.4 Dell Technologies Industrial Predictive Maintenance Revenue (US$ Million) & (2018-2023)
5.4.5 Dell Technologies Recent Developments
5.5 Fluke Corporation
5.5.1 Fluke Corporation Profile
5.5.2 Fluke Corporation Main Business
5.5.3 Fluke Corporation Industrial Predictive Maintenance Products, Services and Solutions
5.5.4 Fluke Corporation Industrial Predictive Maintenance Revenue (US$ Million) & (2018-2023)
5.5.5 Fluke Corporation Recent Developments
5.6 General Electric
5.6.1 General Electric Profile
5.6.2 General Electric Main Business
5.6.3 General Electric Industrial Predictive Maintenance Products, Services and Solutions
5.6.4 General Electric Industrial 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 Industrial Predictive Maintenance Products, Services and Solutions
5.7.4 Hitachi Industrial 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 Industrial Predictive Maintenance Products, Services and Solutions
5.8.4 Honeywell Industrial 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 Industrial Predictive Maintenance Products, Services and Solutions
5.9.4 IBM Industrial 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 Industrial Predictive Maintenance Products, Services and Solutions
5.10.4 PTC Industrial 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 Industrial Predictive Maintenance Products, Services and Solutions
5.11.4 Rapidminer Industrial Predictive Maintenance Revenue (US$ Million) & (2018-2023)
5.11.5 Rapidminer Recent Developments
5.12 Rockwell Automation
5.12.1 Rockwell Automation Profile
5.12.2 Rockwell Automation Main Business
5.12.3 Rockwell Automation Industrial Predictive Maintenance Products, Services and Solutions
5.12.4 Rockwell Automation Industrial Predictive Maintenance Revenue (US$ Million) & (2018-2023)
5.12.5 Rockwell Automation Recent Developments
5.13 SAP
5.13.1 SAP Profile
5.13.2 SAP Main Business
5.13.3 SAP Industrial Predictive Maintenance Products, Services and Solutions
5.13.4 SAP Industrial 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 Industrial Predictive Maintenance Products, Services and Solutions
5.14.4 SAS Institute Industrial Predictive Maintenance Revenue (US$ Million) & (2018-2023)
5.14.5 SAS Institute Recent Developments
5.15 Schneider Electric
5.15.1 Schneider Electric Profile
5.15.2 Schneider Electric Main Business
5.15.3 Schneider Electric Industrial Predictive Maintenance Products, Services and Solutions
5.15.4 Schneider Electric Industrial Predictive Maintenance Revenue (US$ Million) & (2018-2023)
5.15.5 Schneider Electric Recent Developments
5.16 Senseye
5.16.1 Senseye Profile
5.16.2 Senseye Main Business
5.16.3 Senseye Industrial Predictive Maintenance Products, Services and Solutions
5.16.4 Senseye Industrial Predictive Maintenance Revenue (US$ Million) & (2018-2023)
5.16.5 Senseye Recent Developments
5.17 SKF
5.17.1 SKF Profile
5.17.2 SKF Main Business
5.17.3 SKF Industrial Predictive Maintenance Products, Services and Solutions
5.17.4 SKF Industrial Predictive Maintenance Revenue (US$ Million) & (2018-2023)
5.17.5 SKF Recent Developments
5.18 Software
5.18.1 Software Profile
5.18.2 Software Main Business
5.18.3 Software Industrial Predictive Maintenance Products, Services and Solutions
5.18.4 Software Industrial Predictive Maintenance Revenue (US$ Million) & (2018-2023)
5.18.5 Software Recent Developments
5.19 Softweb Solutions
5.19.1 Softweb Solutions Profile
5.19.2 Softweb Solutions Main Business
5.19.3 Softweb Solutions Industrial Predictive Maintenance Products, Services and Solutions
5.19.4 Softweb Solutions Industrial Predictive Maintenance Revenue (US$ Million) & (2018-2023)
5.19.5 Softweb Solutions Recent Developments
5.20 T-Systems International
5.20.1 T-Systems International Profile
5.20.2 T-Systems International Main Business
5.20.3 T-Systems International Industrial Predictive Maintenance Products, Services and Solutions
5.20.4 T-Systems International Industrial Predictive Maintenance Revenue (US$ Million) & (2018-2023)
5.20.5 T-Systems International Recent Developments
5.21 Warwick Analytics
5.21.1 Warwick Analytics Profile
5.21.2 Warwick Analytics Main Business
5.21.3 Warwick Analytics Industrial Predictive Maintenance Products, Services and Solutions
5.21.4 Warwick Analytics Industrial Predictive Maintenance Revenue (US$ Million) & (2018-2023)
5.21.5 Warwick Analytics Recent Developments
6 North America
6.1 North America Industrial Predictive Maintenance Market Size by Country (2018-2029)
6.2 U.S.
6.3 Canada
7 Europe
7.1 Europe Industrial 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 Industrial 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 Industrial 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 Industrial 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 Industrial Predictive Maintenance Market Dynamics
11.1 Industrial Predictive Maintenance Industry Trends
11.2 Industrial Predictive Maintenance Market Drivers
11.3 Industrial Predictive Maintenance Market Challenges
11.4 Industrial 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
Why ‘The Market Reports’
In Business:
Pre Sales Support:
Post Sales Support:
Turn Around Time:
Clients Served:
Clients Assisted:
Client Types:
Payment:
- Accept global payments [Credit Card / PayPal / Wire Transfer]
- Accept local payments in South Korea, Germany, China and India [Can pay in local currency]
Latest IT & Electronics Market Reports
Payments Accepted From
Connect with us at
Complete Secure Website
