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Global Automotive Predictive Maintenance Market Size, Share: By Component: Solution, Services; By Vehicle Type: Passenger Car, Commercial Vehicle; By Application: Engine Performance, Exhaust System, Transmission Function, Structural Stability; By End Use; Regional Analysis; Market Dynamics; Competitive Landscape; 2024-2032
Global Automotive Predictive Maintenance Market Outlook
The global automotive predictive maintenance market size is projected to grow at a CAGR of 13.2% between 2024 and 2032. The market is being aided by the emergence of digital twins and the rising need for more efficient and safer transportation modes.
Key Trends in the Market
Predictive maintenance refers to the maintenance strategy that uses machine learning algorithms to interpret data from sensors, and equipment logs to predict when the vehicle is likely to fail. Predictive maintenance allows for remote diagnosis of potential problems associated with vehicles before they give rise to major breakdowns.
- The emergence of digital twins is transforming the automotive predictive maintenance market growth. Digital twins offer a real-time view of the performance and health of specific components in the vehicle. Through analysing data obtained from sensors integrated into vehicles, manufacturers can predict potential issues and take proactive measures to minimise downtime, thereby avoiding costly repairs.
- The rising need for safer and more efficient transportation, in addition to advancements in technology, is catering to the demand for autonomous vehicles. The surge in the demand for autonomous vehicles is also anticipated to support the growth of the automotive predictive maintenance market demand in the coming years.
- The incorporation of predictive maintenance technology in automobiles enables constant monitoring for abnormal vibrations, temperature variations, and fluid leaks, further ensuring that potential issues compromising vehicle safety and security are detected on time. Thus, predictive maintenance ensures the security of both the vehicle and its occupants.
Automotive Predictive Maintenance Market Analysis
By component, the market bifurcation includes solution and services. Based on vehicle type, the market is segmented into passenger cars and commercial vehicles. On the basis of application, the market can be segregated into engine performance, exhaust system, transmission function, and structural stability.
On the basis of end use, the market is segmented into personal use and commercial use. The major regional markets for automotive predictive maintenance are North America, Europe, the Asia Pacific, Latin America, and the Middle East and Africa.
The comprehensive EMR report provides an in-depth assessment of the market based on the Porter's five forces model along with giving a SWOT analysis. The report gives a detailed analysis of the following key players in the global automotive predictive maintenance market, covering their competitive landscape and latest developments like mergers, acquisitions, investments and expansion plans.
- Siemens Aktiengesellschaft
- IBM Corporation
- Continental AG
- ZF Friedrichshafen AG
- Robert Bosch GmbH
- Hitachi, Ltd.
- Samsung Electronics Co. Ltd. (Harman International)
- SAP SE
- Aptiv PLC
- Garrett Motion Inc.
- Others
Market Share by Application
As per the automotive predictive maintenance market analysis, the data sciences used in the technology act as essential tools for failure prediction to identify potential errors, prevent failures from occurring, and lower maintenance costs of engines.
The proactive approach of predictive maintenance results in cost savings, as it identifies and corrects potential engine issues before they lead to downtime and significant financial losses for vehicle owners, fleet operators, and manufacturers.
Proactive alerts and early warnings increase the lifespan of the vehicles. Manufacturers benefit as it enables proactive communication with automobile owners, reducing breakdowns and thereby improving customer satisfaction.
Market Share by Region
Europe holds a significant portion of the global automotive predictive maintenance market share. The market is driven by the dynamic automotive sector in Europe. Technological advancements in the automotive sector, along with favourable government initiatives promoting the safety of vehicles and emission reduction, are contributing to the growth of the market in the region.
Competitive Landscape
Siemens Aktiengesellschaft, founded in 1847, is a technology company focused on sectors like infrastructure, transport, and healthcare. The company combines industrial artificial intelligence and connectivity with expert services for predictive services for drive systems.
Continental AG is a German multinational automotive parts manufacturing company. The company provides its products and solutions to sectors such as passenger cars, trucks and buses, two-wheelers, agriculture, construction and mining, continental automotive, material handling, and railway.
ZF Friedrichshafen AG, based in Germany, is a global technology company engaged in providing mobility systems for passenger cars, commercial vehicles, and industrial technology. The company provides fleet management solutions for maximising vehicle safety.
Other players operating in the global automotive predictive maintenance market include IBM Corporation, Robert Bosch GmbH, Hitachi, Ltd., Samsung Electronics Co. Ltd. (Harman International), SAP SE, Aptiv PLC, and Garrett Motion Inc., among others.
Key Highlights of the Report
| REPORT FEATURES | DETAILS |
| Base Year | 2023 |
| Historical Period | 2018-2023 |
| Forecast Period | 2024-2032 |
| Scope of the Report |
Historical and Forecast Trends, Industry Drivers and Constraints, Historical and Forecast Market Analysis by Segment:
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| Breakup by Component |
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| Breakup by Vehicle Type |
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| Breakup by Application |
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| Breakup by End Use |
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| Breakup by Region |
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| Market Dynamics |
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| Competitive Landscape |
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| Companies Covered |
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*At Expert Market Research, we strive to always give you current and accurate information. The numbers depicted in the description are indicative and may differ from the actual numbers in the final EMR report.
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 Market Snapshot
6.1 Global
6.2 Regional
7 Opportunities and Challenges in the Market
8 Global Automotive Predictive Maintenance Market Analysis
8.1 Key Industry Highlights
8.2 Global Automotive Predictive Maintenance Historical Market (2018-2023)
8.3 Global Automotive Predictive Maintenance Market Forecast (2024-2032)
8.4 Global Automotive Predictive Maintenance Market by Component
8.4.1 Solution
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 Automotive Predictive Maintenance Market by Vehicle Type
8.5.1 Passenger Car
8.5.1.1 Historical Trend (2018-2023)
8.5.1.2 Forecast Trend (2024-2032)
8.5.2 Commercial Vehicle
8.5.2.1 Historical Trend (2018-2023)
8.5.2.2 Forecast Trend (2024-2032)
8.6 Global Automotive Predictive Maintenance Market by Application
8.6.1 Engine Performance
8.6.1.1 Historical Trend (2018-2023)
8.6.1.2 Forecast Trend (2024-2032)
8.6.2 Exhaust System
8.6.2.1 Historical Trend (2018-2023)
8.6.2.2 Forecast Trend (2024-2032)
8.6.3 Transmission Function
8.6.3.1 Historical Trend (2018-2023)
8.6.3.2 Forecast Trend (2024-2032)
8.6.4 Structural Stability
8.6.4.1 Historical Trend (2018-2023)
8.6.4.2 Forecast Trend (2024-2032)
8.7 Global Automotive Predictive Maintenance Market by End Use
8.7.1 Personal Use
8.7.1.1 Historical Trend (2018-2023)
8.7.1.2 Forecast Trend (2024-2032)
8.7.2 Commercial Use
8.7.2.1 Historical Trend (2018-2023)
8.7.2.2 Forecast Trend (2024-2032)
8.8 Global Automotive 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 Automotive 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 Automotive 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 Automotive 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 Automotive 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 Automotive 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 Competitive Landscape
15.1 Market Structure
15.2 Company Profiles
15.2.1 Siemens Aktiengesellschaft
15.2.1.1 Company Overview
15.2.1.2 Product Portfolio
15.2.1.3 Demographic Reach and Achievements
15.2.1.4 Certifications
15.2.2 IBM Corporation
15.2.2.1 Company Overview
15.2.2.2 Product Portfolio
15.2.2.3 Demographic Reach and Achievements
15.2.2.4 Certifications
15.2.3 Continental AG
15.2.3.1 Company Overview
15.2.3.2 Product Portfolio
15.2.3.3 Demographic Reach and Achievements
15.2.3.4 Certifications
15.2.4 ZF Friedrichshafen AG
15.2.4.1 Company Overview
15.2.4.2 Product Portfolio
15.2.4.3 Demographic Reach and Achievements
15.2.4.4 Certifications
15.2.5 Robert Bosch GmbH
15.2.5.1 Company Overview
15.2.5.2 Product Portfolio
15.2.5.3 Demographic Reach and Achievements
15.2.5.4 Certifications
15.2.6 Hitachi, Ltd.
15.2.6.1 Company Overview
15.2.6.2 Product Portfolio
15.2.6.3 Demographic Reach and Achievements
15.2.6.4 Certifications
15.2.7 Samsung Electronics Co. Ltd. (Harman International)
15.2.7.1 Company Overview
15.2.7.2 Product Portfolio
15.2.7.3 Demographic Reach and Achievements
15.2.7.4 Certifications
15.2.8 SAP SE
15.2.8.1 Company Overview
15.2.8.2 Product Portfolio
15.2.8.3 Demographic Reach and Achievements
15.2.8.4 Certifications
15.2.9 Aptiv PLC
15.2.9.1 Company Overview
15.2.9.2 Product Portfolio
15.2.9.3 Demographic Reach and Achievements
15.2.9.4 Certifications
15.2.10 Garrett Motion Inc.
15.2.10.1 Company Overview
15.2.10.2 Product Portfolio
15.2.10.3 Demographic Reach and Achievements
15.2.10.4 Certifications
15.2.11 Others
16 Key Trends and Developments in the Market
List of Key Figures and Tables
1. Global Automotive Predictive Maintenance Market: Key Industry Highlights, 2018 and 2032
2. Global Automotive Predictive Maintenance Historical Market: Breakup by Component (USD Billion), 2018-2023
3. Global Automotive Predictive Maintenance Market Forecast: Breakup by Component (USD Billion), 2024-2032
4. Global Automotive Predictive Maintenance Historical Market: Breakup by Vehicle Type (USD Billion), 2018-2023
5. Global Automotive Predictive Maintenance Market Forecast: Breakup by Vehicle Type (USD Billion), 2024-2032
6. Global Automotive Predictive Maintenance Historical Market: Breakup by Application (USD Billion), 2018-2023
7. Global Automotive Predictive Maintenance Market Forecast: Breakup by Application (USD Billion), 2024-2032
8. Global Automotive Predictive Maintenance Historical Market: Breakup by End Use (USD Billion), 2018-2023
9. Global Automotive Predictive Maintenance Market Forecast: Breakup by End Use (USD Billion), 2024-2032
10. Global Automotive Predictive Maintenance Historical Market: Breakup by Region (USD Billion), 2018-2023
11. Global Automotive Predictive Maintenance Market Forecast: Breakup by Region (USD Billion), 2024-2032
12. North America Automotive Predictive Maintenance Historical Market: Breakup by Country (USD Billion), 2018-2023
13. North America Automotive Predictive Maintenance Market Forecast: Breakup by Country (USD Billion), 2024-2032
14. Europe Automotive Predictive Maintenance Historical Market: Breakup by Country (USD Billion), 2018-2023
15. Europe Automotive Predictive Maintenance Market Forecast: Breakup by Country (USD Billion), 2024-2032
16. Asia Pacific Automotive Predictive Maintenance Historical Market: Breakup by Country (USD Billion), 2018-2023
17. Asia Pacific Automotive Predictive Maintenance Market Forecast: Breakup by Country (USD Billion), 2024-2032
18. Latin America Automotive Predictive Maintenance Historical Market: Breakup by Country (USD Billion), 2018-2023
19. Latin America Automotive Predictive Maintenance Market Forecast: Breakup by Country (USD Billion), 2024-2032
20. Middle East and Africa Automotive Predictive Maintenance Historical Market: Breakup by Country (USD Billion), 2018-2023
21. Middle East and Africa Automotive Predictive Maintenance Market Forecast: Breakup by Country (USD Billion), 2024-2032
22. Global Automotive Predictive Maintenance Market Structure
Key Questions Answered in the Report
The market is projected to grow at a CAGR of 13.2% between 2024 and 2032.
The market drivers include the rising adoption of electric and autonomous vehicles, the increasing importance of reducing downtime through predictive analytics, and the growing adoption of IoT and other connected car technologies.
The trends in the market include increasing digitalisation, rising demand for cloud-based solutions, and favourable government initiatives supporting the safety and security of vehicles.
The major regions in the market are North America, Latin America, the Middle East and Africa, Europe, and the Asia Pacific.
The different end users of automotive predictive maintenance include personal use and commercial use.
The significant applications of automotive predictive maintenance are engine performance, exhaust system, transmission function, and structural stability.
Solution and services are the various components of automotive predictive maintenance.
The key players in the market include Siemens Aktiengesellschaft, IBM Corporation, Continental AG, ZF Friedrichshafen AG, Robert Bosch GmbH, Hitachi, Ltd., Samsung Electronics Co. Ltd. (Harman International), SAP SE, Aptiv PLC, and Garrett Motion Inc., among others.
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