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The report presents a detailed analysis of the following key players in the global predictive maintenance market, looking into their capacity, competitive landscape, and latest developments like capacity expansions, plant turnarounds, and mergers and acquisitions:
The EMR report gives an in-depth insight into the industry by providing a SWOT analysis as well as an analysis of Porter’s Five Forces model.
Predictive Maintenance Market Size
Predictive Maintenance Market Analysis
Predictive Maintenance Companies
*While we strive to always give you current and accurate information, the numbers depicted on the website are indicative and may differ from the actual numbers in the main report. At Expert Market Research, we aim to bring you the latest insights and trends in the market. Using our analyses and forecasts, stakeholders can understand the market dynamics, navigate challenges, and capitalize on opportunities to make data-driven strategic decisions.
1 Preface
2 Report Coverage – Key Segmentation and Scope
3 Report Description
3.1 Market Definition and Outlook
3.2 Properties and Applications
3.3 Market Analysis
3.4 Key Players
4 Key Assumptions
5 Executive Summary
5.1 Overview
5.2 Key Drivers
5.3 Key Developments
5.4 Competitive Structure
5.5 Key Industrial Trends
6 Snapshot
6.1 Global
6.2 Regional
7 Opportunities and Challenges in the Market
8 Global Predictive Maintenance Market Analysis
8.1 Key Industry Highlights
8.2 Global Predictive Maintenance Historical Market (2018-2023)
8.3 Global Predictive Maintenance Market Forecast (2024-2032)
8.4 Global Predictive Maintenance Market by Component
8.4.1 Solutions
8.4.1.1 Historical Trend (2018-2023)
8.4.1.2 Forecast Trend (2024-2032)
8.4.2 Services
8.4.2.1 Historical Trend (2018-2023)
8.4.2.2 Forecast Trend (2024-2032)
8.5 Global Predictive Maintenance Market by Deployment Mode
8.5.1 Cloud
8.5.1.1 Historical Trend (2018-2023)
8.5.1.2 Forecast Trend (2024-2032)
8.5.2 On-Premises
8.5.2.1 Historical Trend (2018-2023)
8.5.2.2 Forecast Trend (2024-2032)
8.6 Global Predictive Maintenance Market by Organization Size
8.6.1 Small and Medium-Sized Enterprises
8.6.1.1 Historical Trend (2018-2023)
8.6.1.2 Forecast Trend (2024-2032)
8.6.2 Large Enterprises
8.6.2.1 Historical Trend (2018-2023)
8.6.2.2 Forecast Trend (2024-2032)
8.7 Global Predictive Maintenance Market by Application
8.7.1 Government and Defense
8.7.1.1 Historical Trend (2018-2023)
8.7.1.2 Forecast Trend (2024-2032)
8.7.2 Manufacturing
8.7.2.1 Historical Trend (2018-2023)
8.7.2.2 Forecast Trend (2024-2032)
8.7.3 Energy and Utilities
8.7.3.1 Historical Trend (2018-2023)
8.7.3.2 Forecast Trend (2024-2032)
8.7.4 Transportation and Logistics
8.7.4.1 Historical Trend (2018-2023)
8.7.4.2 Forecast Trend (2024-2032)
8.7.5 Healthcare and Life Sciences
8.7.5.1 Historical Trend (2018-2023)
8.7.5.2 Forecast Trend (2024-2032)
8.7.6 Others
8.8 Global Predictive Maintenance Market by Region
8.8.1 North America
8.8.1.1 Historical Trend (2018-2023)
8.8.1.2 Forecast Trend (2024-2032)
8.8.2 Europe
8.8.2.1 Historical Trend (2018-2023)
8.8.2.2 Forecast Trend (2024-2032)
8.8.3 Asia Pacific
8.8.3.1 Historical Trend (2018-2023)
8.8.3.2 Forecast Trend (2024-2032)
8.8.4 Latin America
8.8.4.1 Historical Trend (2018-2023)
8.8.4.2 Forecast Trend (2024-2032)
8.8.5 Middle East and Africa
8.8.5.1 Historical Trend (2018-2023)
8.8.5.2 Forecast Trend (2024-2032)
9 North America Predictive Maintenance Market Analysis
9.1 United States of America
9.1.1 Historical Trend (2018-2023)
9.1.2 Forecast Trend (2024-2032)
9.2 Canada
9.2.1 Historical Trend (2018-2023)
9.2.2 Forecast Trend (2024-2032)
10 Europe Predictive Maintenance Market Analysis
10.1 United Kingdom
10.1.1 Historical Trend (2018-2023)
10.1.2 Forecast Trend (2024-2032)
10.2 Germany
10.2.1 Historical Trend (2018-2023)
10.2.2 Forecast Trend (2024-2032)
10.3 France
10.3.1 Historical Trend (2018-2023)
10.3.2 Forecast Trend (2024-2032)
10.4 Italy
10.4.1 Historical Trend (2018-2023)
10.4.2 Forecast Trend (2024-2032)
10.5 Others
11 Asia Pacific Predictive Maintenance Market Analysis
11.1 China
11.1.1 Historical Trend (2018-2023)
11.1.2 Forecast Trend (2024-2032)
11.2 Japan
11.2.1 Historical Trend (2018-2023)
11.2.2 Forecast Trend (2024-2032)
11.3 India
11.3.1 Historical Trend (2018-2023)
11.3.2 Forecast Trend (2024-2032)
11.4 ASEAN
11.4.1 Historical Trend (2018-2023)
11.4.2 Forecast Trend (2024-2032)
11.5 Australia
11.5.1 Historical Trend (2018-2023)
11.5.2 Forecast Trend (2024-2032)
11.6 Others
12 Latin America Predictive Maintenance Market Analysis
12.1 Brazil
12.1.1 Historical Trend (2018-2023)
12.1.2 Forecast Trend (2024-2032)
12.2 Argentina
12.2.1 Historical Trend (2018-2023)
12.2.2 Forecast Trend (2024-2032)
12.3 Mexico
12.3.1 Historical Trend (2018-2023)
12.3.2 Forecast Trend (2024-2032)
12.4 Others
13 Middle East and Africa Predictive Maintenance Market Analysis
13.1 Saudi Arabia
13.1.1 Historical Trend (2018-2023)
13.1.2 Forecast Trend (2024-2032)
13.2 United Arab Emirates
13.2.1 Historical Trend (2018-2023)
13.2.2 Forecast Trend (2024-2032)
13.3 Nigeria
13.3.1 Historical Trend (2018-2023)
13.3.2 Forecast Trend (2024-2032)
13.4 South Africa
13.4.1 Historical Trend (2018-2023)
13.4.2 Forecast Trend (2024-2032)
13.5 Others
14 Market Dynamics
14.1 SWOT Analysis
14.1.1 Strengths
14.1.2 Weaknesses
14.1.3 Opportunities
14.1.4 Threats
14.2 Porter’s Five Forces Analysis
14.2.1 Supplier’s Power
14.2.2 Buyer’s Power
14.2.3 Threat of New Entrants
14.2.4 Degree of Rivalry
14.2.5 Threat of Substitutes
14.3 Key Indicators for Demand
14.4 Key Indicators for Price
15 Value Chain Analysis
16 Competitive Landscape
16.1 Market Structure
16.2 Company Profiles
16.2.1 Microsoft Corporation
16.2.1.1 Company Overview
16.2.1.2 Product Portfolio
16.2.1.3 Demographic Reach and Achievements
16.2.1.4 Certifications
16.2.2 Hitachi, Ltd.
16.2.2.1 Company Overview
16.2.2.2 Product Portfolio
16.2.2.3 Demographic Reach and Achievements
16.2.2.4 Certifications
16.2.3 Schneider Electric SE
16.2.3.1 Company Overview
16.2.3.2 Product Portfolio
16.2.3.3 Demographic Reach and Achievements
16.2.3.4 Certifications
16.2.4 General Electric Company
16.2.4.1 Company Overview
16.2.4.2 Product Portfolio
16.2.4.3 Demographic Reach and Achievements
16.2.4.4 Certifications
16.2.5 SAP SE
16.2.5.1 Company Overview
16.2.5.2 Product Portfolio
16.2.5.3 Demographic Reach and Achievements
16.2.5.4 Certifications
16.2.6 International Business Machines Corporation
16.2.6.1 Company Overview
16.2.6.2 Product Portfolio
16.2.6.3 Demographic Reach and Achievements
16.2.6.4 Certifications
16.2.7 Others
17 Key Trends and Developments in the Market
List of Key Figures and Tables
1. Global Predictive Maintenance Market: Key Industry Highlights, 2018 and 2032
2. Global Predictive Maintenance Historical Market: Breakup by Component (USD Billion), 2018-2023
3. Global Predictive Maintenance Market Forecast: Breakup by Component (USD Billion), 2024-2032
4. Global Predictive Maintenance Historical Market: Breakup by Deployment Mode (USD Billion), 2018-2023
5. Global Predictive Maintenance Market Forecast: Breakup by Deployment Mode (USD Billion), 2024-2032
6. Global Predictive Maintenance Historical Market: Breakup by Organization Size (USD Billion), 2018-2023
7. Global Predictive Maintenance Market Forecast: Breakup by Organization Size (USD Billion), 2024-2032
8. Global Predictive Maintenance Historical Market: Breakup by Application (USD Billion), 2018-2023
9. Global Predictive Maintenance Market Forecast: Breakup by Application (USD Billion), 2024-2032
10. Global Predictive Maintenance Historical Market: Breakup by Region (USD Billion), 2018-2023
11. Global Predictive Maintenance Market Forecast: Breakup by Region (USD Billion), 2024-2032
12. North America Predictive Maintenance Historical Market: Breakup by Country (USD Billion), 2018-2023
13. North America Predictive Maintenance Market Forecast: Breakup by Country (USD Billion), 2024-2032
14. Europe Predictive Maintenance Historical Market: Breakup by Country (USD Billion), 2018-2023
15. Europe Predictive Maintenance Market Forecast: Breakup by Country (USD Billion), 2024-2032
16. Asia Pacific Predictive Maintenance Historical Market: Breakup by Country (USD Billion), 2018-2023
17. Asia Pacific Predictive Maintenance Market Forecast: Breakup by Country (USD Billion), 2024-2032
18. Latin America Predictive Maintenance Historical Market: Breakup by Country (USD Billion), 2018-2023
19. Latin America Predictive Maintenance Market Forecast: Breakup by Country (USD Billion), 2024-2032
20. Middle East and Africa Predictive Maintenance Historical Market: Breakup by Country (USD Billion), 2018-2023
21. Middle East and Africa Predictive Maintenance Market Forecast: Breakup by Country (USD Billion), 2024-2032
22. Global Predictive Maintenance Market Structure
In 2023, the global predictive maintenance market attained a value of nearly USD 6.24 billion.
The market is projected to grow at a CAGR of 29.1% between 2024 and 2032.
The market is estimated to witness a healthy growth in the forecast period of 2024-2032 to reach about USD 61.95 billion by 2032.
The major drivers of the market are rising use of new technologies and increasing need to reduce the cost of maintenance.
The key trends guiding the market growth includes the increasing research and development activities and rising industrialisation.
The major regions in the market are North America, Latin America, the Middle East and Africa, Europe, and the Asia Pacific.
The major components of predictive maintenance in the market are solutions and services.
The significant deployment modes in the market are cloud and on-premises.
The leading organization sites of predictive maintenance in the market are small and medium-sized enterprises and large enterprises.
The major applications of predictive maintenance are government and defence, manufacturing, energy and utilities, transportation and logistics, and healthcare and life sciences, among others.
The major players in the global predictive maintenance market are Microsoft Corporation, Hitachi, Ltd., Schneider Electric SE, General Electric Company, SAP SE, and International Business Machines Corporation, among others.
The global predictive maintenance market attained a value of USD 6.24 billion in 2023, driven by the rising use of new technologies. Aided by the technological advancements, the market is expected to witness a further growth in the forecast period of 2024-2032, growing at a CAGR of 29.1%. The predictive maintenance market is projected to reach USD 61.95 billion by 2032.
EMR’s meticulous research methodology delves deep into the market, covering the macro and micro aspects of the industry. Based on components, the predictive maintenance industry can be segmented into solutions and services. On the basis of deployment modes, the market is bifurcated into cloud and on-premises. By organization sites, the industry is segmented into small and medium-sized enterprises and large enterprises. On the basis of applications, the industry is divided into government and defence, manufacturing, energy and utilities, transportation and logistics, healthcare and life sciences, and others. The major regional markets for predictive maintenance are North America, Europe, the Asia Pacific, Latin America, and the Middle East and Africa. The key players in the above market include Microsoft Corporation, Hitachi, Ltd., Schneider Electric SE, General Electric Company, SAP SE, and International Business Machines Corporation, among others.
EMR’s research methodology uses a combination of cutting-edge analytical tools and the expertise of their highly accomplished team, thus, providing their customers with market insights that are accurate, actionable, and help them remain ahead of their competition.
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