The global predictive maintenance market size reached USD 12.7 Billion in 2024. Looking forward, the market is projected to reach USD 80.6 Billion by 2033, exhibiting a growth rate (CAGR) of 22.8% during 2025-2033. The growing use of machine-to-machine (M2M) communication, coupled with the rising integration with remote monitoring to conduct advanced inspections, is primarily propelling the market.
Predictive maintenance refers to the technique that relies on condition-monitoring tools and systems to monitor the performance of equipment during operation. It comprises the internet of things (IoT), artificial intelligence (AI), and integrated systems to connect different assets and systems and share and analyze crucial data. It also consists of predictive maintenance sensors, industrial controls, and business systems, such as enterprise asset management (EAM) and enterprise resource planning (ERP) software. It functions by utilizing condition monitoring equipment to examine and evaluate the performance of assets. It records a wide range of data, such as temperature, vibrations, and conductivity, which enables an engineer to predict the failure of equipment or assets while allowing them to be replaced or repaired in advance. It helps reduce maintenance costs, increase the shelf life of equipment, and improve productivity. Furthermore, as predictive maintenance provides safety compliance and preemptive corrective actions, its demand is increasing around the world.
2. What is the expected growth rate of the global predictive maintenance market during 2025-2033?
3. What are the key factors driving the global predictive maintenance market?
4. What has been the impact of COVID-19 on the global predictive maintenance market?
5. What is the breakup of the global predictive maintenance market based on the component?
6. What is the breakup of the global predictive maintenance market based on the technique?
7. What is the breakup of the global predictive maintenance market based on deployment type?
8. What is the breakup of the global predictive maintenance market based on the organization size?
9. What is the breakup of the global predictive maintenance market based on the industry vertical?
10. What are the key regions in the global predictive maintenance market?
11. Who are the key players/companies in the global predictive maintenance market?
Predictive maintenance refers to the technique that relies on condition-monitoring tools and systems to monitor the performance of equipment during operation. It comprises the internet of things (IoT), artificial intelligence (AI), and integrated systems to connect different assets and systems and share and analyze crucial data. It also consists of predictive maintenance sensors, industrial controls, and business systems, such as enterprise asset management (EAM) and enterprise resource planning (ERP) software. It functions by utilizing condition monitoring equipment to examine and evaluate the performance of assets. It records a wide range of data, such as temperature, vibrations, and conductivity, which enables an engineer to predict the failure of equipment or assets while allowing them to be replaced or repaired in advance. It helps reduce maintenance costs, increase the shelf life of equipment, and improve productivity. Furthermore, as predictive maintenance provides safety compliance and preemptive corrective actions, its demand is increasing around the world.
Predictive Maintenance Market Trends:
At present, the rising demand for predictive maintenance due to the increasing automation of operations of various industrial assets represents one of the primary factors influencing the market positively. Besides this, the growing utilization of machine-to-machine (M2M) communication and cloud technology to investigate a wide array of information derived from industrial and business assets is offering a favorable market outlook. Additionally, there is an increase in the adoption of predictive maintenance by technicians to plan and prepare for a repair by taking appropriate steps. This, along with the rising employment of predictive maintenance to prevent the disruption of production cycles and the occurrence of unplanned downtime, is propelling the growth of the market. Apart from this, there is a rise in the utilization of predictive maintenance by businesses to generate a tangible return on investment (ROI). This, coupled with the increasing investment in extending the lifespan of various aging industrial machinery, is contributing to the growth of the market. In addition, the rising integration of predictive maintenance with remote monitoring to conduct advanced inspections and predict component and equipment failures is supporting the market growth. Moreover, the increasing employment of predictive maintenance in the healthcare sector to improve the reliability of healthcare infrastructure is bolstering the market growth.Market Segmentation:
This report provides an analysis of the key trends in each segment of the market, along with the predictive maintenance market forecast at the global, regional, and country levels for 2025-2033. The report categorizes the market based on the component, technique, deployment type, organization size, and industry vertical.Component Insights:
- Solution
- Service
Technique Insights:
- Vibration Monitoring
- Electrical Testing
- Oil Analysis
- Ultrasonic Leak Detectors
- Shock Pulse
- Infrared
- Others
Deployment Type Insights:
- Cloud-based
- On-premises
Organization Size Insights:
- Small and Medium-sized Enterprises
- Large Enterprises
Industry Vertical Insights:
- Manufacturing
- Energy and Utilities
- Aerospace and Defense
- Transportation and Logistics
- Government
- Healthcare
- Others
Regional Insights:
- North America
- United States
- Canada
- Asia-Pacific
- China
- Japan
- India
- South Korea
- Australia
- Indonesia
- Others
- Europe
- Germany
- France
- United Kingdom
- Italy
- Spain
- Russia
- Others
- Latin America
- Brazil
- Mexico
- Others
- Middle East and Africa
Competitive Landscape:
The report has also provided a comprehensive analysis of the competitive landscape in the global predictive maintenance market. Competitive analysis such as market structure, market share by key players, player positioning, top winning strategies, competitive dashboard, and company evaluation quadrant has been covered in the report. Also, detailed profiles of all major companies have been provided. Some of the companies covered include Asystom, C3.ai Inc., General Electric Company, Google LLC (Alphabet Inc.), Hitachi Ltd., International Business Machines Corporation, Microsoft Corporation, PTC Inc., SAP SE, Software AG, Tibco Software Inc., Uptake Technologies Inc., etc. Kindly note that this only represents a partial list of companies, and the complete list has been provided in the report.Key Questions Answered in This Report
1. What was the size of the global predictive maintenance market in 2024?2. What is the expected growth rate of the global predictive maintenance market during 2025-2033?
3. What are the key factors driving the global predictive maintenance market?
4. What has been the impact of COVID-19 on the global predictive maintenance market?
5. What is the breakup of the global predictive maintenance market based on the component?
6. What is the breakup of the global predictive maintenance market based on the technique?
7. What is the breakup of the global predictive maintenance market based on deployment type?
8. What is the breakup of the global predictive maintenance market based on the organization size?
9. What is the breakup of the global predictive maintenance market based on the industry vertical?
10. What are the key regions in the global predictive maintenance market?
11. Who are the key players/companies in the global predictive maintenance market?
Table of Contents
1 Preface3 Executive Summary13 Value Chain Analysis15 Price Analysis
2 Scope and Methodology
4 Introduction
5 Global Predictive Maintenance Market
6 Market Breakup by Component
7 Market Breakup by Technique
8 Market Breakup by Deployment Type
9 Market Breakup by Organization Size
10 Market Breakup by Industry Vertical
11 Market Breakup by Region
12 SWOT Analysis
14 Porters Five Forces Analysis
16 Competitive Landscape
List of Figures
List of Tables
Companies Mentioned
- Asystom
- C3.ai Inc.
- General Electric Company
- Google LLC (Alphabet Inc.)
- Hitachi Ltd.
- International Business Machines Corporation
- Microsoft Corporation
- PTC Inc.
- SAP SE
- Software AG
- Tibco Software Inc.
- Uptake Technologies Inc.
Methodology
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Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 134 |
| Published | May 2025 |
| Forecast Period | 2024 - 2033 |
| Estimated Market Value ( USD | $ 12.7 Billion |
| Forecasted Market Value ( USD | $ 80.6 Billion |
| Compound Annual Growth Rate | 22.8% |
| Regions Covered | Global |
| No. of Companies Mentioned | 12 |
