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Emerging AI Chip Application Trends in Smart Automotive Electronics

  • Report

  • 16 Pages
  • July 2024
  • Region: Global
  • Market Intelligence & Consulting Institute (MIC)
  • ID: 5986492
This report provides an overview of global trends in smart automotive electronics, examines how semiconductors can play a role in automotive development, and explores the development of leading AI chipmakers in smart auto electronics, including Nvidia, Qualcomm, and Tesla.

The global semiconductor market in 2023 faced numerous adverse factors, including talent shortages, geopolitical risks, and rising interest rates. These challenges collectively contributed to a slowdown in market growth. However, despite these headwinds, specific segments within the semiconductor industry, particularly automotive applications, experienced notable advancements. International companies are increasingly focusing on enhancing autonomous driving capabilities and improving in-car service experiences. This progress heavily relies on AI chips that boost computational speed, which is essential for handling the extensive data processing and analysis required by future vehicles during operation.

Table of Contents

1. Global Trends in Smart Automotive Electronics
1.1 Automotive Industry Moving Towards CASE
2. Semiconductors as Key Drivers of Automotive Development
2.1 Increased Demand for AI Computing Power in Smart Cars
3.Leading Brands' AI Chips For Smart Auto Electronics
3.1 Nvidia
3.2 Qualcomm
3.3 Tesla
4. The Analyst's Perspective
4.1 Trends towards Electric and Smart Automobiles Driving AI Chip Demand
4.2 Computational Demand for Automotive AI Chips Moving towards Edge Computing
4.3 International Players Leveraging In-house AI Chips to Gain Competitive Edge
AppendixList of Companies
List of Figures
Figure 1: Computing Architecture of Nvidia's Cockpit-driving Integration Solution
Figure 2: Snapdragon Ride SoC
Figure 3: Snapdragon Ride Vision
Figure 4: Tesla's Central Computer Architecture

Companies Mentioned (Partial List)

A selection of companies mentioned in this report includes, but is not limited to:

  • Amazon
  • AMD
  • Apple
  • Audi
  • Autotalks
  • BMW
  • Continental
  • Google
  • Honda
  • Intel
  • Lumiar
  • Nvidia
  • Qualcomm
  • Sony
  • Stellantis
  • Tesla
  • Toyota
  • Veoneer
  • Volvo

Methodology

Primary research with a holistic, cross-domain approach

The exhaustive primary research methods are central to the value that the analyst delivers. A combination of questionnaires and on-site visits to the major manufacturers provides a first view of the latest data and trends. Information is subsequently validated by interviews with the manufacturers' suppliers and customers, covering a holistic industry value chain. This process is backed up by a cross-domain team-based approach, creating an interlaced network across numerous interrelated components and system-level devices to ensure statistical integrity and provide in-depth insight.

Complementing primary research is a running database and secondary research of industry and market information. Dedicated research into the macro-environmental trends shaping the ICT industry also allows the analyst to forecast future development trends and generate foresight perspectives. With more than 20 years of experience and endeavors in research, the methods and methodologies include:

Method

  • Component supplier interviews
  • System supplier interviews
  • User interviews
  • Channel interviews
  • IPO interviews
  • Focus groups
  • Consumer surveys
  • Production databases
  • Financial data
  • Custom databases

Methodology

  • Technology forecasting and assessment
  • Product assessment and selection
  • Product life cycles
  • Added value analysis
  • Market trends
  • Scenario analysis
  • Competitor analysis

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