Predictive Maintenance Market Size, Share, and Trends 2025 to 2034

Predictive Maintenance Market (By Component: Solutions, Service; By Deployment Mode: On-premises, Cloud; By Organization Size: Large Enterprises, Small and Medium-sized Enterprises; By Vertical: Government and Defense, Manufacturing, Energy and Utilities, Transportation and Logistics, Healthcare and Life Sciences) - Global Industry Analysis, Size, Trends, Leading Companies, Regional Outlook, and Forecast 2025 to 2034

Last Updated : 05 Nov 2025  |  Report Code : 2453  |  Category : ICT   |  Format : PDF / PPT / Excel

Chapter 1. Introduction

1.1. Research Objective

1.2. Scope of the Study

1.3. Definition

Chapter 2. Research Methodology

2.1. Research Approach

2.2. Data Sources

2.3. Assumptions & Limitations

Chapter 3. Executive Summary

3.1. Market Snapshot

Chapter 4. Market Variables and Scope 

4.1. Introduction

4.2. Market Classification and Scope

4.3. Industry Value Chain Analysis

4.3.1. Raw Material Procurement Analysis 

4.3.2. Sales and Distribution Channel Analysis

4.3.3. Downstream Buyer Analysis

Chapter 5. COVID 19 Impact on Predictive Maintenance Market 

5.1. COVID-19 Landscape: Predictive Maintenance Industry Impact

5.2. COVID 19 - Impact Assessment for the Industry

5.3. COVID 19 Impact: Global Major Government Policy

5.4. Market Trends and Opportunities in the COVID-19 Landscape

6.1. Market Dynamics

6.1.1. Market Drivers

6.1.2. Market Restraints

6.1.3. Market Opportunities

6.2. Porter’s Five Forces Analysis

6.2.1. Bargaining power of suppliers

6.2.2. Bargaining power of buyers

6.2.3. Threat of substitute

6.2.4. Threat of new entrants

6.2.5. Degree of competition

Chapter 7. Competitive Landscape

7.1.1. Company Market Share/Positioning Analysis

7.1.2. Key Strategies Adopted by Players

7.1.3. Vendor Landscape

7.1.3.1. List of Suppliers

7.1.3.2. List of Buyers

Chapter 8. Global Predictive Maintenance Market, By Component

8.1. Predictive Maintenance Market, by Component

8.1.1. Solutions

8.1.1.1. Market Revenue and Forecast

8.1.2. Service

8.1.2.1. Market Revenue and Forecast

Chapter 9. Global Predictive Maintenance Market, By Deployment Mode

9.1. Predictive Maintenance Market, by Deployment Mode

9.1.1. On-premises

9.1.1.1. Market Revenue and Forecast

9.1.2. Cloud

9.1.2.1. Market Revenue and Forecast

Chapter 10. Global Predictive Maintenance Market, By Organization Size 

10.1. Predictive Maintenance Market, by Organization Size

10.1.1. Large Enterprises

10.1.1.1. Market Revenue and Forecast

10.1.2. Small and Medium-sized Enterprises (SMEs)

10.1.2.1. Market Revenue and Forecast

Chapter 11. Global Predictive Maintenance Market, By Vertical 

11.1. Predictive Maintenance Market, by Vertical

11.1.1. Government and Defense

11.1.1.1. Market Revenue and Forecast

11.1.2. Manufacturing

11.1.2.1. Market Revenue and Forecast

11.1.3. Energy and Utilities

11.1.3.1. Market Revenue and Forecast

11.1.4. Transportation and Logistics

11.1.4.1. Market Revenue and Forecast

11.1.5. Healthcare and Life Sciences

11.1.5.1. Market Revenue and Forecast

Chapter 12. Global Predictive Maintenance Market, Regional Estimates and Trend Forecast

12.1. North America

12.1.1. Market Revenue and Forecast, by Component

12.1.2. Market Revenue and Forecast, by Deployment Mode

12.1.3. Market Revenue and Forecast, by Organization Size

12.1.4. Market Revenue and Forecast, by Vertical

12.1.5. U.S.

12.1.5.1. Market Revenue and Forecast, by Component

12.1.5.2. Market Revenue and Forecast, by Deployment Mode

12.1.5.3. Market Revenue and Forecast, by Organization Size

12.1.5.4. Market Revenue and Forecast, by Vertical

12.1.6. Rest of North America

12.1.6.1. Market Revenue and Forecast, by Component

12.1.6.2. Market Revenue and Forecast, by Deployment Mode

12.1.6.3. Market Revenue and Forecast, by Organization Size

12.1.6.4. Market Revenue and Forecast, by Vertical

12.2. Europe

12.2.1. Market Revenue and Forecast, by Component

12.2.2. Market Revenue and Forecast, by Deployment Mode

12.2.3. Market Revenue and Forecast, by Organization Size

12.2.4. Market Revenue and Forecast, by Vertical

12.2.5. UK

12.2.5.1. Market Revenue and Forecast, by Component

12.2.5.2. Market Revenue and Forecast, by Deployment Mode

12.2.5.3. Market Revenue and Forecast, by Organization Size

12.2.5.4. Market Revenue and Forecast, by Vertical

12.2.6. Germany

12.2.6.1. Market Revenue and Forecast, by Component

12.2.6.2. Market Revenue and Forecast, by Deployment Mode

12.2.6.3. Market Revenue and Forecast, by Organization Size

12.2.6.4. Market Revenue and Forecast, by Vertical

12.2.7. France

12.2.7.1. Market Revenue and Forecast, by Component

12.2.7.2. Market Revenue and Forecast, by Deployment Mode

12.2.7.3. Market Revenue and Forecast, by Organization Size

12.2.7.4. Market Revenue and Forecast, by Vertical

12.2.8. Rest of Europe

12.2.8.1. Market Revenue and Forecast, by Component

12.2.8.2. Market Revenue and Forecast, by Deployment Mode

12.2.8.3. Market Revenue and Forecast, by Organization Size

12.2.8.4. Market Revenue and Forecast, by Vertical

12.3. APAC

12.3.1. Market Revenue and Forecast, by Component

12.3.2. Market Revenue and Forecast, by Deployment Mode

12.3.3. Market Revenue and Forecast, by Organization Size

12.3.4. Market Revenue and Forecast, by Vertical

12.3.5. India

12.3.5.1. Market Revenue and Forecast, by Component

12.3.5.2. Market Revenue and Forecast, by Deployment Mode

12.3.5.3. Market Revenue and Forecast, by Organization Size

12.3.5.4. Market Revenue and Forecast, by Vertical

12.3.6. China

12.3.6.1. Market Revenue and Forecast, by Component

12.3.6.2. Market Revenue and Forecast, by Deployment Mode

12.3.6.3. Market Revenue and Forecast, by Organization Size

12.3.6.4. Market Revenue and Forecast, by Vertical

12.3.7. Japan

12.3.7.1. Market Revenue and Forecast, by Component

12.3.7.2. Market Revenue and Forecast, by Deployment Mode

12.3.7.3. Market Revenue and Forecast, by Organization Size

12.3.7.4. Market Revenue and Forecast, by Vertical

12.3.8. Rest of APAC

12.3.8.1. Market Revenue and Forecast, by Component

12.3.8.2. Market Revenue and Forecast, by Deployment Mode

12.3.8.3. Market Revenue and Forecast, by Organization Size

12.3.8.4. Market Revenue and Forecast, by Vertical

12.4. MEA

12.4.1. Market Revenue and Forecast, by Component

12.4.2. Market Revenue and Forecast, by Deployment Mode

12.4.3. Market Revenue and Forecast, by Organization Size

12.4.4. Market Revenue and Forecast, by Vertical

12.4.5. GCC

12.4.5.1. Market Revenue and Forecast, by Component

12.4.5.2. Market Revenue and Forecast, by Deployment Mode

12.4.5.3. Market Revenue and Forecast, by Organization Size

12.4.5.4. Market Revenue and Forecast, by Vertical

12.4.6. North Africa

12.4.6.1. Market Revenue and Forecast, by Component

12.4.6.2. Market Revenue and Forecast, by Deployment Mode

12.4.6.3. Market Revenue and Forecast, by Organization Size

12.4.6.4. Market Revenue and Forecast, by Vertical

12.4.7. South Africa

12.4.7.1. Market Revenue and Forecast, by Component

12.4.7.2. Market Revenue and Forecast, by Deployment Mode

12.4.7.3. Market Revenue and Forecast, by Organization Size

12.4.7.4. Market Revenue and Forecast, by Vertical

12.4.8. Rest of MEA

12.4.8.1. Market Revenue and Forecast, by Component

12.4.8.2. Market Revenue and Forecast, by Deployment Mode

12.4.8.3. Market Revenue and Forecast, by Organization Size

12.4.8.4. Market Revenue and Forecast, by Vertical

12.5. Latin America

12.5.1. Market Revenue and Forecast, by Component

12.5.2. Market Revenue and Forecast, by Deployment Mode

12.5.3. Market Revenue and Forecast, by Organization Size

12.5.4. Market Revenue and Forecast, by Vertical

12.5.5. Brazil

12.5.5.1. Market Revenue and Forecast, by Component

12.5.5.2. Market Revenue and Forecast, by Deployment Mode

12.5.5.3. Market Revenue and Forecast, by Organization Size

12.5.5.4. Market Revenue and Forecast, by Vertical

12.5.6. Rest of LATAM

12.5.6.1. Market Revenue and Forecast, by Component

12.5.6.2. Market Revenue and Forecast, by Deployment Mode

12.5.6.3. Market Revenue and Forecast, by Organization Size

12.5.6.4. Market Revenue and Forecast, by Vertical

Chapter 13. Company Profiles

13.1. Microsoft(US)

13.1.1. Company Overview

13.1.2. Product Offerings

13.1.3. Financial Performance

13.1.4. Recent Initiatives

13.2. Google (US)

13.2.1. Company Overview

13.2.2. Product Offerings

13.2.3. Financial Performance

13.2.4. Recent Initiatives

13.3. SAP(Germany)

13.3.1. Company Overview

13.3.2. Product Offerings

13.3.3. Financial Performance

13.3.4. Recent Initiatives

13.4. Splunk (US)

13.4.1. Company Overview

13.4.2. Product Offerings

13.4.3. Financial Performance

13.4.4. Recent Initiatives

13.5. IBM(US)

13.5.1. Company Overview

13.5.2. Product Offerings

13.5.3. Financial Performance

13.5.4. Recent Initiatives

13.6. Oracle (US)

13.6.1. Company Overview

13.6.2. Product Offerings

13.6.3. Financial Performance

13.6.4. Recent Initiatives

13.7. OPEX Group (UK)

13.7.1. Company Overview

13.7.2. Product Offerings

13.7.3. Financial Performance

13.7.4. Recent Initiatives

13.8. GE (US)

13.8.1. Company Overview

13.8.2. Product Offerings

13.8.3. Financial Performance

13.8.4. Recent Initiatives

13.9. Schneider Electric (France)

13.9.1. Company Overview

13.9.2. Product Offerings

13.9.3. Financial Performance

13.9.4. Recent Initiatives

13.10. AWS (US)

13.10.1. Company Overview

13.10.2. Product Offerings

13.10.3. Financial Performance

13.10.4. Recent Initiatives

Chapter 14. Research Methodology

14.1. Primary Research

14.2. Secondary Research

14.3. Assumptions

Chapter 15. Appendix

15.1. About Us

15.2. Glossary of Terms

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Frequently Asked Questions

The global predictive maintenance market size was accounted at USD 9.21 billion in 2025 and it is expected to reach around USD 79.70 billion by 2034.

The global predictive maintenance market is poised to grow at a CAGR of 27.10% from 2025 to 2034.

The major players operating in the predictive maintenance market are Microsoft(US), Google (US), SAP(Germany), Splunk (US), IBM(US), Oracle (US), OPEX Group (UK), GE (US), Schneider Electric (France), AWS (US), SAS Institute (US), Software AG (Germany), TIBCO Software (US), Hitachi (Japan), HPE (US), Altair (US), PTC (US), RapidMiner (US), Dingo (Australia) and Others.

The driving factors of the predictive maintenance market are various technological industries are making efforts to perform analysis with the help of artificial intelligence which will help to ease out the process of data interpretation and the introduction of cloud technology and machine to machine transfer for information has propelled the need for revaluation of the data received from industries, cameras and sensors.

North America region will lead the global predictive maintenance market during the forecast period 2025 to 2034.

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