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Automotive Prognostics Market Expected To Reach $13.5 Billion By 2030 At 18.2% CAGR
The automotive prognostics market has experienced rapid expansion in recent years. This market is set to expand from $9.62 billion in 2025 to $10.95 billion in 2026, registering a compound annual growth rate (CAGR) of 13.8%. Factors contributing to its historical growth include the widespread adoption of telematics, an increase in onboard diagnostics, improved vehicle data availability, the drive for maintenance cost optimization, and evolving fleet management requirements.
The automotive prognostics market is projected to experience substantial growth in the upcoming years, with its size anticipated to reach $18.2 billion by 2030, exhibiting a compound annual growth rate (CAGR) of 13.5%. This expected expansion throughout the forecast period stems from factors such as the adoption of AI-driven analytics, the ongoing development of autonomous vehicles, increasing demand for predictive servicing, the enlargement of connected mobility, and the growth of digital aftermarket services. Prominent trends for this period include the uptake of predictive maintenance platforms, the incorporation of machine learning algorithms, the rise of connected vehicle data analytics, the widening scope of cloud-based diagnostics, and the heightened need for fleet health monitoring.
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Automotive Prognostics Market Growth Drivers: What Factors Are Accelerating Expansion?
The growing occurrence of road accidents is anticipated to stimulate the expansion of the automotive prognostics market moving forward. These incidents are defined as events where vehicles on the road collide with other vehicles, pedestrians, or static objects like barriers, trees, or utility poles. Predictive diagnosis, or automotive prognostics, endeavors to facilitate effective and successful maintenance planning, which in turn leads to less operational downtime, reduced expenses, enhanced safety, and increased utility for roadways, ultimately decreasing fatalities from road accidents. For instance, in June 2024, the Llywodraeth Cymru / Welsh Government, a government administration based in Wales, stated that in 2023, Welsh police forces documented 4,348 road casualties, indicating a 2% increase compared to 2022. Consequently, the heightened necessity for predictive diagnosis on roads is propelling the automotive prognostics market.
Automotive Prognostics Market Segment Analysis Highlighting Growth Areas
The automotive prognostics market covered in this report is segmented –
1) By Component: Hardware, Software, Services
2) By Vehicle Type: Passenger Vehicle, Light Commercial Vehicle, Trucks, Buses And Coaches
3) By Application: Engine (Combustion Control, Condition Monitoring), Battery, Power Steering System, Suspension System, On Board Monitoring And Diagnostics (OBMD)
4) By End User: Original Equipment Manufacturer(OEM), Aftermarket, Fleet Operators
Subsegments:
1) By Hardware: Sensors, Data Acquisition Systems, Onboard Diagnostic Devices, Communication Interfaces
2) By Software: Predictive Analytics Software, Diagnostic Software, Data Visualization Tools, Machine Learning Algorithms
3) By Services: Consulting Services, Implementation And Integration Services, Maintenance And Support Services, Training And Education Services
Automotive Prognostics Market Trends: What Is Shaping Future Industry Growth?
Leading companies in the automotive prognostic market are adopting strategic partnership strategies to develop innovative automotive prognostic solutions. Strategic partnerships provide benefits to automotive prognostic companies by combining resources and expertise, enhancing research and development initiatives, expanding market access, and accelerating commercialization. This cooperative approach stimulates innovation and boosts growth within the automotive prognostics sector. For example, in October 2023, Infineon Technologies AG, a Germany-based semiconductor manufacturing company, collaborated with Eatron Technologies, a UK-based software company. Through this partnership, Infineon and Eatron aim to improve automotive battery management systems (BMS) by integrating machine learning into Infineon’s AURIX TC4x microcontroller. This collaboration is dedicated to advancing battery performance, accuracy, and prognostics, which includes state of health (SoH) and remaining useful life (RUL) prediction.
Automotive Prognostics Market Leading Companies: Who Holds Significant Market Presence?
Major companies operating in the automotive prognostics market report include Stellantis N.V., General Motors Company, Bayerische Motoren Werke AG, Tesla Inc., International Business Machines Corporation, DENSO Corporation, Continental AG, Magna International Inc., Bridgestone Corporation, Cummins Inc., ZF Friedrichshafen AG, Lear Corporation, Infineon Technologies AG, NXP Semiconductor Inc., Harman International Industries, Delphi Technologies, Garrett Motion Inc., Ansys Inc., HCL Technologies Limited, Robert Bosch GmbH, Aeris Communications, Covisint Corp., Cognosos Inc., Preteckt Inc., Acerta Analytics Solutions Inc., Hitachi Astemo Ltd.
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Automotive Prognostics Market Leading Geography: Which Region Generates The Most Revenue?
North America was the largest region in the automotive prognostics market in 2025. The regions covered in the automotive prognostics market report include Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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Wasay has over a decade of experience in market research, data modelling, and analytics, with prior experience at GlobalData and Decision Tree Consulting Services. At The Business Research Company , he leads research operations across syndicated studies, customized consulting engagements, and the Global Market Model platform. His professional experience includes supporting organizations such as Boston Consulting Group, KPMG, and Ernst & Young. Wasay holds a degree in Electronics and Communications Engineering, postgraduate management qualifications from International Management Institute Belgium and Indian School of Business and Entrepreneurship, and completed the Integrated Program in Business Analytics from Indian Institute of Management Indore.
