Research Expert: Sarah Overall
  • Published: Aug 2025
  • Pages: 150
  • SKU: IRTNTR80829

  • Latest News- AI In Automotive Market: Hardware is expected to lead the Component segment during 2025-2029

    The AI In Automotive Market is being driven by Imperative for enhanced safety and relentless pursuit of autonomous driving

    The AI In Automotive Market is expected to grow at a CAGR of 29% during 2024 and 2029. During this period, the market is also expected to show a growth of USD 11971 million. In the burgeoning AI in automotive market, a significant shift is underway from decentralized architectures composed of numerous electronic control units (ECUs) to centralized, high-performance compute platforms. This transition is pivotal in enabling the software-defined vehicle (SDV), a revolutionary concept where a vehicle's functionality and features are predominantly governed by software. This transformation simplifies vehicle wiring harnesses, reduces weight and costs, and crucially, provides the substantial computational power required to run intricate, all-encompassing AI applications. The software-defined vehicle concept allows for continuous upgrades and new capabilities to be deployed throughout a vehicle's lifecycle via over-the-air (OTA) updates, making it a game-changer in the automotive industry. 

    Get more information on AI In Automotive Market by requesting a sample report

    Which Factors Are Causing a Surge in Market Growth?

    The market is segmented based on

    • Component
      • Hardware
      • Software
      • Services
    • Technology
      • Machine learning
      • Computer vision
      • Deep learning
      • Context awareness
      • Natural language processing
    • Application
      • Semi-autonomous vehicles
      • Fully-autonomous vehicles
    • Vehicle Type
      • Passenger vehicles
      • Commercial vehicles
    • Geography
      • North America
        • Canada
        • US
      • APAC
        • China
        • India
        • Japan
        • South Korea
      • Europe
        • Germany
        • UK
        • France
        • Italy
      • South America
        • Middle East and Africa

        According to Technavio, There are several factors that are causing the market to flourish during the forecast period, which are as follows: 

        • Imperative for enhanced safety and relentless pursuit of autonomous driving
        • Rising consumer demand for intelligent in-cabin experiences and vehicle personalization
        • Compelling economic and operational efficiency gains in commercial vehicles

        However, the market also witnesses some limitations, which are as follows:

        • Regulatory fragmentation and lack of global standardization
        • Overcoming technical complexity and managing edge case scenarios
        • Ensuring cybersecurity and overcoming data privacy and public trust hurdles

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        Market Scope in AI In Automotive Market Research Report

        Market Scope

        Report Coverage

        Details

        Page number

        257

        Base year

        2024

        Historic period

        2019-2023

        Forecast period

        2025-2029

        Growth momentum & CAGR

        Accelerate at a CAGR of 29%

        Market growth 2025-2029

        USD 11971 million

        Market structure

        fragmentation

        YoY growth 2024-2025(%)

        24.8

        Key countries

        US, China, Germany, Canada, UK, Japan, South Korea, Italy, India, and France

        Competitive landscape

        Leading Companies, Market Positioning of Companies, Competitive Strategies, and Industry Risks

        Find out which segment is leading the market by accessing the free PDF report

        Research Analysis Overview

        In the AI automotive market, neural network architectures and reinforcement learning applications are key technologies driving advancements. Data annotation techniques and model training pipelines ensure accuracy, while performance evaluation metrics and algorithm optimization strategies enhance efficiency. Software-defined vehicles and virtual simulation environments utilize HPC and automotive-grade processors for hardware acceleration. Digital twin technology and simulation model accuracy address functional safety standards and system integration challenges. Data privacy regulations and ethical considerations require AI explainability techniques for human-machine interfaces. Drivers benefit from AI in driver assistance features, vehicle safety systems, autonomous valet parking, traffic incident detection, and road condition monitoring. Fuel efficiency improvements and emissions reduction strategies are essential for sustainability, with remote diagnostics capabilities ensuring vehicle health.

        Market Research Overview

        The autonomous driving market within the global IT software industry encompasses companies specializing in the development and production of autonomous driving systems, utilizing machine learning algorithms and computer vision processing. This market segment falls under the application software category, focusing on creating software solutions for the automotive sector. Technavio calculates the market size based on the consolidated revenue of these companies, including those offering cloud-based software solutions. This market excludes entities producing database management software or interactive home entertainment software, as defined by the systems software sub-industry.. Industries are leveraging the products belonging to the market for customer engagement, transactional notifications, and promotional offers.


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        Technavio Research
        Jesse Maida
        Media & Marketing Executive
        US: +1 844 364 1100
        UK: +44 203 893 3200
        Email: media@technavio.com
        Website: www.technavio.com/

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