Global Automotive Predictive Maintenance Market Report and Forecast 2024-2032

Global Automotive Predictive Maintenance Market Report and Forecast 2024-2032


Market Outlook

According to the report by Expert Market Research (EMR), the global automotive predictive maintenance market is projected to grow at a CAGR of 5% between 2024 and 2032. Aided by the increasing adoption of IoT, AI, and machine learning technologies in vehicle maintenance and management, the market is expected to grow significantly by 2032.

Automotive predictive maintenance refers to the use of data analysis tools and techniques to detect anomalies and potential failures in the vehicle components before they occur. This proactive approach to maintenance not only extends the lifespan of the vehicle but also ensures the safety and reliability of automotive operations, catering to both individual vehicle owners and fleet management businesses.

A key driver of the global automotive predictive maintenance market growth is the integration of IoT devices and advanced analytics in vehicles. These technologies enable the continuous monitoring of vehicle condition and performance, facilitating the early detection of issues that could lead to failures. As a result, vehicle owners and fleet operators can undertake maintenance activities pre-emptively, minimising the risk of unexpected breakdowns and optimising maintenance schedules.

As per the automotive predictive maintenance market analysis, enhanced connectivity through Vehicle-to-Everything (V2X) communication enables vehicles to interact with each other and with infrastructure, improving road safety and traffic flow. This connectivity also generates vast amounts of data that can be utilised for predictive maintenance. With V2X communication, predictive maintenance systems can leverage broader datasets, including traffic conditions, driving patterns, and environmental factors, to provide more accurate maintenance predictions.

The growing demand for vehicle efficiency and safety among consumers and regulatory bodies alike is propelling the automotive predictive maintenance market expansion. Predictive maintenance technologies play a crucial role in ensuring vehicles operate at optimal efficiency, thereby reducing fuel consumption and emissions. Furthermore, by preventing component failures, these technologies significantly enhance vehicle safety, aligning with global standards and regulations.

The expansion of automotive fleet management services is another significant factor contributing to the automotive predictive maintenance market share. Fleet operators are increasingly leveraging predictive maintenance solutions to monitor the health of their vehicles in real-time, reducing downtime and operational costs. This trend is particularly pronounced in the commercial sector, where vehicle reliability and efficiency are paramount to business success.

The global automotive predictive maintenance market exhibits substantial regional diversity, with North America leading the charge, due to its advanced automotive sector, high adoption of smart technologies, and stringent vehicle safety regulations. Europe and Asia-Pacific also represent key markets, driven by the growing automotive sector, rising demand for connected vehicles, and increasing focus on vehicle efficiency and emissions reduction.

As per the automotive predictive maintenance market analysis, the competitive landscape of the global market is characterised by the presence of leading automotive technology companies, software developers, and IoT solution providers. Companies are offering a range of predictive maintenance solutions that include hardware, software, and services. Innovation, strategic partnerships, and a focus on custom solutions are key strategies employed by market players to gain a competitive edge.

As per the automotive predictive maintenance market outlook, the global market is poised for sustained growth, with technological innovation, the increasing digitisation of the automotive sector and the rising emphasis on vehicle safety and efficiency acting as key drivers. As predictive maintenance technologies become more sophisticated and accessible, their adoption is expected to rise across all segments of the automotive sector, from passenger vehicles to commercial fleets.

Market Segmentation

The market can be divided based on component, vehicle type, application, end use, and region.

Market Breakup by Component
  • Solution
  • Services
Market Breakup by Vehicle Type
  • Passenger Car
  • Commercial Vehicle
Market Breakup by Application
  • Engine Performance
  • Exhaust System
  • Transmission Function
  • Structural Stability
Market Breakup by End Use
  • Personal Use
  • Commercial Use
Market Breakup by Region
  • North America
  • Europe
  • Asia Pacific
  • Latin America
  • Middle East and Africa
Competitive Landscape

The EMR report looks into the market shares, plant turnarounds, capacities, investments, and mergers and acquisitions, among other major developments, of the leading companies operating in the global automotive predictive maintenance market. Some of the major players explored in the report by Expert Market Research are as follows:
  • 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
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*We at Expert Market Research always strive to provide you with the latest information. The numbers in the article are only indicative and may be different from the actual 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

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