Report Summary
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.
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.
In 2024, the global Predictive Maintenance market size was xx million US$ and it is expected to reach xx million US$ by the end of 2035, with a CAGR of XX% between 2025 and 2035.
This report studies the Predictive Maintenance market size by players, regions, product types and end industries, history data 2020-2023 and forecast data 2025-2035; This report also studies the global market competition landscape, market drivers and trends, opportunities and challenges, risks and entry barriers, sales channels, distributors and Porter's Five Forces Analysis.
This report focuses on the leading global players
- IBM Corporation
- SAP SE
- General Electric
- Schneider Electric
- Hitachi, Ltd.
- PTC, Inc.
- SAS Institute, Inc.
- C3.ai, Inc.
- Uptake Technologies Inc.
- Microsoft Corporation
- ABB Ltd.
- Rockwell Automation, Inc.
- Siemens AG
- Emerson Electric Co.
- Oracle Corporation
- Bosch Software Innovations GmbH
- SKF AB
- Honeywell International Inc.
- Baker Hughes Company
- Parker Hannifin Corp.
Market Segment by Regions/Countries, this report covers
- North America
- Europe
- China
- Rest of Asia Pacific
- Central & South America
- Middle East & Africa
Predictive Maintenance Market, By Monitoring Technique
- Vibration Monitoring
- Test Component Alignment
- Detect Imbalances
- Resonance Identification
- Gear Failure Detection
- Others
- Oil Analysis
- Turbine Maintenance
- Hydraulic System Maintenance
- Engine Evaluation
- Transmission Assessment
- Gear Lubricant Level Monitoring
- Others
- Motor Circuit Analysis
- Assess Engine Degradation
- Shaft And Rotor Alignment
- Insulation Evaluation
- Gear Assessment
- Scan For Short Circuits
- Others
- Infrared Thermography
- Assess Heating Systems
- Fluid Analysis
- Analyze Discharge Patterns
- Roof Maintenance
- Others
- Acoustic Monitoring
- Pipeline Monitoring
- Condenser Evaluation
- Vacuum System Monitoring
- Fan Health Assessment
- Air Compressor Monitoring
- Others
- Torque Monitoring
- Ultrasonic Leak Detectors
- Corrosion Monitoring
- Others
Predictive Maintenance Market, By Technology
- IoT Platforms
- AI & ML
- Analytics & Data Management
- Digital Twins
- Sensors & Other Devices
Predictive Maintenance Market, By Application
- Condition Monitoring
- Predictive Analytics
- Remote Monitoring
- Asset Tracking
- Maintenance Scheduling
- Other
Predictive Maintenance Market, By Component
- Hardware
- Sensors
- Vibration Sensor
- Temperature Sensor
- Pressure Sensor
- Acoustic Sensor
- Ultrasonic Sensor
- Others
- Data Acquisition Systems
- Connectivity Devices
- Other Hardware
- Software
- Services
- Integration & Development
- Support & Maintenance
- Training & Consulting
Predictive Maintenance Market, By Deployment
Predictive Maintenance Market, By Enterprise Size
- Small & Medium Enterprises
- Large Enterprises
Predictive Maintenance Market, By End Use
- Aerospace & Defense
- Automotive & Transportation
- Energy & Utilities
- Healthcare & Medical
- IT & Telecommunication
- Manufacturing
- Building & Construction
- Mining & Metals
- Oil & Gas
-
Others
The study objectives of this report are:
- To study and forecast the market size of Predictive Maintenance in global market.
- To analyze the global key players, SWOT analysis, value and global market share for top players.
- To define, describe and forecast the market by type, end use and region.
- To analyze and compare the market status and forecast among global major regions.
- To analyze the global key regions market potential and advantage, opportunity and challenge, restraints and risks.
- To identify significant trends and factors driving or inhibiting the market growth.
- To analyze the opportunities in the market for stakeholders by identifying the high-growth segments.
- To strategically analyze each submarket concerning individual growth trend and their contribution to the market
- To analyze competitive developments such as expansions, agreements, new product launches, and acquisitions in the market.
- To strategically profile the key players and comprehensively analyze their growth strategies.
In this study, the years considered to estimate the market size of Predictive Maintenance are as follows:
History Year: 2020-2023
Base Year: 2024
Estimated Year: 2024
Forecast Year 2025 to 2035
For the data information by region, company, type, and application, 2024 are considered the base year. Whenever data information was unavailable for the base year, the prior year has been considered.
- Key Stakeholders
- Raw material suppliers
- Distributors/traders/wholesalers/suppliers
- Regulatory bodies, including government agencies and NGO
- Commercial research & development (R&D) institutions
- Importers and exporters
- Government organizations, research organizations, and consulting firms
- Trade associations and industry bodies
- End-use industries
Available Customizations
With the given market data, EternityInsights offers customizations according to the company's specific needs. The following customization options are available for the report:
Further breakdown of Predictive Maintenance market on basis of the key contributing countries. Detailed analysis and profiling of additional market players.
Table Of Contents
Table of Contents
Predictive Maintenance Market Report by Company, Regions, Types and Applications, Global Status and Forecast to 2025
1 Industry Overview of Predictive Maintenance
1.1 Predictive Maintenance Market Overview
1.1.1 Predictive Maintenance Product Scope
1.1.2 Market Status and Outlook
1.2 Global Predictive Maintenance Market Size and Analysis by Regions
1.2.1 North America
1.2.2 Europe
1.2.3 China
1.2.4 Rest of Asia Pacific
1.2.5 Central & South America
1.2.6 Middle East & Africa
1.3 Predictive Maintenance Market by Type
1.3.1 Cloud
1.3.2 On-premises
1.4 Predictive Maintenance Market by End Users/Application
1.4.1 Government
1.4.2 Aerospace and defense
1.4.3 Energy and utilities
1.4.4 Healthcare
1.4.5 Manufacturing
1.4.6 Transportation and logistics
1.4.7 Others
2 Global Predictive Maintenance Competition Analysis by Players
2.1 Predictive Maintenance Market Size (Value) by Players (2018 and 2019)
2.2 Competitive Status and Trend
2.2.1 Market Concentration Rate
2.2.2 Product/Service Differences
2.2.3 New Entrants
2.2.4 The Technology Trends in Future
3 Company (Top Players) Profiles
3.1 Augury Systems
3.1.1 Company Profile
3.1.2 Main Business/Business Overview
3.1.3 Products, Services and Solutions
3.1.4 Predictive Maintenance Revenue (Value) (2017-2020)
3.1.5 Recent Developments
3.2 Bosch Software Innovations
3.2.1 Company Profile
3.2.2 Main Business/Business Overview
3.2.3 Products, Services and Solutions
3.2.4 Predictive Maintenance Revenue (Value) (2017-2020)
3.2.5 Recent Developments
3.3 C3 IoT
3.3.1 Company Profile
3.3.2 Main Business/Business Overview
3.3.3 Products, Services and Solutions
3.3.4 Predictive Maintenance Revenue (Value) (2017-2020)
3.3.5 Recent Developments
3.4 Dell
3.4.1 Company Profile
3.4.2 Main Business/Business Overview
3.4.3 Products, Services and Solutions
3.4.4 Predictive Maintenance Revenue (Value) (2017-2020)
3.4.5 Recent Developments
3.5 Fluke
3.5.1 Company Profile
3.5.2 Main Business/Business Overview
3.5.3 Products, Services and Solutions
3.5.4 Predictive Maintenance Revenue (Value) (2017-2020)
3.5.5 Recent Developments
3.6 General Electric
3.6.1 Company Profile
3.6.2 Main Business/Business Overview
3.6.3 Products, Services and Solutions
3.6.4 Predictive Maintenance Revenue (Value) (2017-2020)
3.6.5 Recent Developments
3.7 Hitachi
3.7.1 Company Profile
3.7.2 Main Business/Business Overview
3.7.3 Products, Services and Solutions
3.7.4 Predictive Maintenance Revenue (Value) (2017-2020)
3.7.5 Recent Developments
3.8 Honeywell
3.8.1 Company Profile
3.8.2 Main Business/Business Overview
3.8.3 Products, Services and Solutions
3.8.4 Predictive Maintenance Revenue (Value) (2017-2020)
3.8.5 Recent Developments
3.9 IBM
3.9.1 Company Profile
3.9.2 Main Business/Business Overview
3.9.3 Products, Services and Solutions
3.9.4 Predictive Maintenance Revenue (Value) (2017-2020)
3.9.5 Recent Developments
3.10 PTC
3.10.1 Company Profile
3.10.2 Main Business/Business Overview
3.10.3 Products, Services and Solutions
3.10.4 Predictive Maintenance Revenue (Value) (2017-2020)
3.10.5 Recent Developments
3.11 Rapidminer
3.12 Rockwell
3.13 SAP
3.14 SAS Institute
3.15 Schneider
3.16 Senseye
3.17 Software
3.18 Softweb Solutions
3.19 T-Systems International
3.20 Warwick Analytics
4 Global Predictive Maintenance Market Size by Type and Application (2017-2020)
4.1 Global Predictive Maintenance Market Size by Type (2017-2020)
4.2 Global Predictive Maintenance Market Size by Application (2017-2020)
4.3 Potential Application of Predictive Maintenance in Future
4.4 Top Consumer/End Users of Predictive Maintenance
5 North America Predictive Maintenance Development Status and Outlook
5.1 North America Predictive Maintenance Market Size (2017-2020)
5.2 North America Predictive Maintenance Market Size and Market Share by Players (2018 and 2019)
6 Europe Predictive Maintenance Development Status and Outlook
6.1 Europe Predictive Maintenance Market Size (2017-2020)
6.2 Europe Predictive Maintenance Market Size and Market Share by Players (2018 and 2019)
7 China Predictive Maintenance Development Status and Outlook
7.1 China Predictive Maintenance Market Size (2017-2020)
7.2 China Predictive Maintenance Market Size and Market Share by Players (2018 and 2019)
8 Rest of Asia Pacific Predictive Maintenance Development Status and Outlook
8.1 Rest of Asia Pacific Predictive Maintenance Market Size (2017-2020)
8.2 Rest of Asia Pacific Predictive Maintenance Market Size and Market Share by Players (2018 and 2019)
9 Central & South America Predictive Maintenance Development Status and Outlook
9.1 Central & South America Predictive Maintenance Market Size (2017-2020)
9.2 Central & South America Predictive Maintenance Market Size and Market Share by Players (2018 and 2019)
10 Middle East & Africa Predictive Maintenance Development Status and Outlook
10.1 Middle East & Africa Predictive Maintenance Market Size (2017-2020)
10.2 Middle East & Africa Predictive Maintenance Market Size and Market Share by Players (2018 and 2019)
11 Market Forecast by Regions, Type and Application (2021-2027)
11.1 Global Predictive Maintenance Market Size (Value) by Regions (2021-2027)
11.1.1 North America Predictive Maintenance Revenue and Growth Rate (2021-2027)
11.1.2 Europe Predictive Maintenance Revenue and Growth Rate (2021-2027)
11.1.3 China Predictive Maintenance Revenue and Growth Rate (2021-2027)
11.1.4 Rest of Asia Pacific Predictive Maintenance Revenue and Growth Rate (2021-2027)
11.1.5 Central & South America Predictive Maintenance Revenue and Growth Rate (2021-2027)
11.1.6 Middle East & Africa Predictive Maintenance Revenue and Growth Rate (2021-2027)
11.2 Global Predictive Maintenance Market Size (Value) by Type (2021-2027)
11.3 Global Predictive Maintenance Market Size by Application (2021-2027)
12 Predictive Maintenance Market Dynamics
12.1 Predictive Maintenance Market Opportunities
12.2 Predictive Maintenance Challenge and Risk
12.2.1 Competition from Opponents
12.2.2 Downside Risks of Economy
12.3 Predictive Maintenance Market Constraints and Threat
12.3.1 Threat from Substitute
12.3.2 Government Policy
12.3.3 Technology Risks
12.4 Predictive Maintenance Market Driving Force
12.4.1 Growing Demand from Emerging Markets
12.4.2 Potential Application
13 Market Effect Factors Analysis
13.1 Technology Progress/Risk
13.1.1 Substitutes
13.1.2 Technology Progress in Related Industry
13.2 Consumer Needs Trend/Customer Preference
13.3 External Environmental Change
13.3.1 Economic Fluctuations
13.3.2 Other Risk Factors
14 Research Finding/Conclusion
15 Appendix
Methodology
Analyst Introduction
Data Source
