Global Automotive AI chips Market Growth 2024-2030

Report ID: 2978794 | Published Date: Feb 2026 | No. of Page: 142 | Base Year: 2025 | Rating: 4.8 | Webstory: Check our Web story

Impact of U.S Tarrifs Analyzed 2025

Automotive AI Chips Overview are chips used for AI technologies applied in the automotive field. These chips usually have high-performance computing power and the ability to perform complex algorithm processing.

Key Features

  • Implement automated driving, intelligent perception, voice recognition, and more.
  • Process data from in-vehicle sensors.
  • Execute deep learning algorithms and perform real-time decision-making.
  • Low power consumption and high reliability.

Segmentation by Type

  • CPU
  • GPU
  • DSP
  • NPU
  • Other

Segmentation by Application

  • Passenger Vehicle
  • Commercial Vehicle

Market by Region

  • Americas
  • APAC
  • Europe
  • Middle East & Africa

Company Coverage

  • NVIDIA
  • Qualcomm
  • Intel
  • Advanced Micro Devices
  • Mobileye
  • IBM
  • Black Sesame Technologies
  • SemiDrive
  • Huawei
  • SenseTime
  • Autobrains
  • SiLC
  • Brainchip
  • Hailo
  • Kinara
  • Kneron
  • StradVision

Key Questions Addressed in this Report

  • What is the 10-year outlook for the global Automotive AI chips market?
  • What factors are driving Automotive AI chips market growth, globally and by region?
  • Which technologies are poised for the fastest growth by market and region?
  • How do Automotive AI chips market opportunities vary by end market size?
  • How does Automotive AI chips break out by Type and by Application?
Frequently Asked Questions
Automotive AI chips report offers great insights of the market and consumer data and their interpretation through various figures and graphs. Report has embedded global market and regional market deep analysis through various research methodologies. The report also offers great competitor analysis of the industries and highlights the key aspect of their business like success stories, market development and growth rate.
Automotive AI chips report is categorised based on following features:
  1. Global Market Players
  2. Geopolitical regions
  3. Consumer Insights
  4. Technological advancement
  5. Historic and Future Analysis of the Market
Automotive AI chips report is designed on the six basic aspects of analysing the market, which covers the SWOT and SWAR analysis like strength, weakness, opportunity, threat, aspirations and results. This methodology helps investors to reach on to the desired and correct decision to put their capital into the market.

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