Research Expert: Sarah Overall
  • Published: May 2025
  • Pages: 150
  • SKU: IRTNTR40567

  • Automotive Prognostics Market (2024–2028): Transforming Predictive Maintenance Across the Mobility Ecosystem

    Introduction

    The global automotive prognostics market is set for a transformative leap, with its value projected to surge by USD 9.93 billion between 2023 and 2028, advancing at a remarkable CAGR of 29.12%, according to recent Technavio research. With predictive maintenance gaining traction across the automotive landscape, this sector is becoming essential for OEMs, aftermarket players, fleet operators, and private vehicle owners. The market’s rapid expansion is anchored in its capacity to minimize maintenance costs, maximize system efficiency, and optimize operational lifespans of vehicles through real-time diagnostic insights

    Global automotive prognostics market 2024-2028

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    KeyMarket Drivers

    1. Maintenance Cost-Saving Potential

    A major catalyst in the market’s growth trajectory is the cost-saving advantage of prognostics systems. Rising labor and parts costs—driven in part by a shortage of skilled technicians—have pushed annual maintenance expenses up by approximately 3%. These systems enable predictive diagnostics, allowing operators to address mechanical issues before they escalate. This not only prevents expensive repairs but also enhances safety and reduces emissions, particularly in internal combustion engine (ICE) vehicles.

    2. Increased Demand for Real-Time Analytics

    With the surge in vehicle electronics and sensor-driven data, automotive prognostic solutions are able to deliver real-time analytics on failure probability. These insights are transforming the industry from reactive to proactive maintenance. This shift is evident across passenger cars, commercial vehicles, hatchbacks, sedans, utility vehicles, light commercial vehicles, buses, and coaches, as well as the growing electric vehicle (EV) segment.

    Emerging Market Trends

    1. Entry of Traditional Suppliers into Telematics

    A noteworthy trend is the entry of traditional automotive component manufacturers into the telematics domain. Leveraging platforms like Connected Mobility Solutions and Remote Vehicle Data, these players are integrating predictive analytics into their offerings. This expansion has spurred innovation, as these companies deliver advanced diagnostics, enhance operational life, and reduce downtime for both private and commercial vehicle operators.

    2. Electrification and Battery Monitoring

    As electric vehicles become mainstream, battery explosion prevention and health monitoring have emerged as critical areas within the prognostics domain. These solutions are being deployed to mitigate safety risks, extend battery lifespans, and support sustainable transportation.

    Key Market Challenge

    1. High Cost of Telematics Services

    Despite the clear benefits, high setup and subscription costs associated with telematics services continue to hinder widespread adoption. Additional expenses such as customization fees and international roaming charges further complicate deployment, especially for cost-sensitive segments like middle-class families and small fleet operators. Nevertheless, as technology scales and costs stabilize, these barriers are expected to reduce over time.

    Market Segmentation Overview

    By Application

    • Passenger Cars (Dominant Segment)
      This segment is projected to witness significant growth due to the widespread adoption of telematics services. Consumers are demanding advanced, connected features, pushing traditional OEMs to integrate real-time prognostic systems in hatchbacks, sedans, and light utility vehicles.
      Value in 2018: USD 1.57 billion

    • Commercial Vehicles
      Commercial operators benefit from extended vehicle life, emission reduction, and minimized downtime, particularly important for freight and passenger transport companies.

    By End-user

    • OEMs
      OEMs are embedding prognostics within factory-assembled vehicles, offering feature upgrades and capturing new revenue streams.

    • Aftermarket
      Aftermarket players cater to older vehicles and budget-conscious owners, deploying plug-and-play prognostics solutions tailored to diverse use cases.

    Regional Market Trends

    North America (Contributing 39% to global growth)

    • United States
      The U.S. leads the North American market with established players like General Motors leveraging telematics for predictive maintenance. The region’s dependence on road-based freight transport further enhances the market's appeal, particularly for commercial vehicle prognostics.

    • Canada
      Canada's expanding EV ecosystem and telematics adoption rate are fostering the integration of real-time diagnostics solutions in passenger and fleet vehicles.

    Europe

    • Germany
      Home to prominent automotive OEMs, Germany is integrating predictive analytics in both premium and mass-market vehicle segments.

    • UK
      The UK is focused on reducing vehicle emissions and enhancing consumer safety, making prognostics a priority for fleet and insurance-linked maintenance systems.

    Asia-Pacific

    • China
      As the world’s largest automotive market, China is incorporating prognostics to address emission standards and support its booming EV industry.

    South America

    Telematics integration is slowly scaling in countries with growing urban vehicle usage. Prognostics adoption is expected to rise in tandem with smart mobility investments.

    Middle East and Africa

    Vehicle prognostics in these regions are driven by logistics and transportation sectors seeking extended operational lifespans for fleets under harsh environmental conditions.

    Market Research Overview

    The Automotive Prognostics Market is witnessing significant growth, driven by advancements in predictive maintenance and vehicle diagnostics. The integration of telematics systems, sensor technology, and data analytics is transforming how connected vehicles operate by enabling real-time monitoring and failure prevention. With the increasing adoption of electric vehicles, battery management has become a crucial factor in maintaining vehicle performance and ensuring system reliability. The use of advanced analytics and machine learning allows for prognostic solutions that enhance fleet efficiency and vehicle safety. By leveraging AI algorithms and cloud platforms, manufacturers and fleet operators can optimize maintenance schedules, leading to cost optimization and reduced vehicle downtime. Additionally, health monitoring through onboard sensors facilitates remote diagnosis, ensuring proactive maintenance and enhancing vehicle lifespan. The continuous evolution of automotive telematics and condition monitoring is paving the way for more effective diagnostic tools, contributing to overall operational efficiency in the market.

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    Key Companies in the Automotive Prognostics Market

    The competitive landscape includes a blend of technology providers, OEMs, software developers, and system integrators. These companies are employing strategic collaborations, M&A, and product launches to gain a stronger foothold:

    • ANSYS Inc.

    • Bridgestone Corp.

    • Cloudera Inc.

    • Continental AG

    • Dell Technologies Inc.

    • Digital Management LLC

    • Fleet Complete

    • Garrett Motion Inc.

    • International Business Machines Corp.

    • Magna International Inc.

    • OpenText Corp.

    • Pioneer Corp.

    • Predii Inc.

    • Preteckt Inc.

    • Progress Software Corp.

    • Ridgetop Group Inc.

    • Robert Bosch GmbH

    • Samsung Electronics Co. Ltd.

    • Solera Holdings LLC

    • VMware Inc.

    These players offer prognostic platforms spanning sensor integration, cloud-based data processing, real-time alerts, and AI-powered analytics, all designed to reduce vehicle lifecycle costs and improve system reliability.

    Research Analysis Overview

    The research on the Automotive Prognostics Market highlights the role of prognostics software and predictive insights in mitigating component failure and optimizing powertrain systems. The rise of autonomous vehicles has intensified the demand for smart diagnostics, enhancing safety systems and reducing repair costs. The integration of telematics integration and data transmission enables remote diagnosis, facilitating accurate condition monitoring and supporting vehicle lifespan extension. As fleet operators aim for better fleet management, proactive maintenance strategies are being refined to minimize vehicle downtime and improve system reliability. The use of diagnostic tools powered by AI algorithms provides deeper insights into vehicle safety, while cloud platforms enhance data analytics for efficient failure prevention. With an increasing focus on cost optimization, predictive maintenance solutions are being integrated with real-time monitoring capabilities, ensuring seamless vehicle diagnostics. The continued advancement in sensor technology and operational efficiency is driving innovation in the market, ensuring a robust framework for future growth in automotive prognostics.

     

     

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