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市場調查報告書
商品編碼
2149425

2026年全球汽車自動駕駛晶片市場報告

Automotive Self-Driving Chip Global Market Report 2026

出版日期: | 出版商: The Business Research Company | 英文 250 Pages | 商品交期: 2-10個工作天內

價格
簡介目錄

近年來,汽車自動駕駛晶片市場規模快速成長。預計該市場規模將從2025年的148.8億美元成長到2026年的177.6億美元,複合年成長率(CAGR)為19.4%。過去幾年成長要素包括:高級駕駛輔助系統(ADAS)的日益普及、車輛自動化程度的不斷提高、對高速汽車數據處理需求的成長、自動駕駛技術的廣泛應用以及車輛電子系統整合技術的進步。

預計未來幾年,汽車自動駕駛晶片市場規模將快速成長。預計到2030年,該市場將以18.9%的複合年成長率成長,達到355.5億美元。預測期內的成長預計將受到以下因素的驅動:對高性能汽車運算的需求不斷成長、自動駕駛演算法日益複雜、對低延遲人工智慧推理的需求不斷成長、無人駕駛計程車和無人駕駛班車的部署日益增多,以及對集中式車輛運算架構的需求不斷成長。預測期內的關鍵趨勢包括:高性能汽車運算架構的廣泛應用、對低延遲汽車資料處理需求的成長、先進感測器資料處理能力的整合不斷推進、節能型汽車半導體設計的發展不斷擴大,以及對高可靠性汽車級半導體元件的需求不斷成長。

預計未來幾年,自動駕駛和半自動駕駛汽車的日益普及將推動汽車自動駕駛晶片市場的成長。自動駕駛和半自動駕駛汽車是指利用先進技術執行部分或全部駕駛任務,並在不同程度上依賴人為干預的車輛。隨著先進駕駛技術有助於減少人為失誤和預防事故,人們對提高交通安全性的需求日益成長,也推動了自動駕駛和半自動駕駛汽車的普及。自動駕駛和半自動駕駛汽車的擴展透過增加對高性能處理器的需求來支撐汽車自動駕駛晶片市場,這些處理器能夠實現即時感測器資料處理、人工智慧 (AI) 決策和安全車輛導航。例如,根據美國國家公路交通安全管理局 (NHTSA) 2024 年 12 月發布的報告,預計到 2030 年,美國道路上將有 450 萬輛自動駕駛汽車。因此,自動駕駛和半自動駕駛汽車的日益普及正在推動汽車自動駕駛晶片市場的成長。

汽車自動駕駛晶片市場的領導者正致力於研發先進的車規級處理器,以提升自動駕駛性能、提高運算效率並降低智慧駕駛硬體成本。車規級處理器是高度可靠的處理器,旨在滿足汽車安全和環保標準,並支援高級駕駛輔助系統(ADAS)、自動駕駛、資訊娛樂和即時車輛控制。例如,2026年5月,中國電動車製造商比亞迪發布了「玄機A3」晶片,這是一款4奈米製程的車規級自動駕駛晶片,旨在支援L3和L4級自動駕駛。該晶片已量產,與傳統的自動駕駛平台相比,在降低硬體成本的同時,實現了更高的運算性能和更高的能源效率。它還支援比亞迪的智慧駕駛生態系統,包括其「上帝之眼」ADAS系統,從而增強了比亞迪在自動駕駛技術領域的實力。

目錄

第1章:執行摘要

第2章 市場特徵

  • 市場定義和範圍
  • 市場區隔
  • 主要產品和服務概述
  • 全球汽車自動駕駛晶片市場:吸引力評分及分析
  • 成長潛力分析、競爭評估、策略適宜性評估、風險狀況評估

第3章 市場供應鏈分析

  • 供應鏈與生態系概述
  • 清單:主要原料、資源和供應商
  • 主要經銷商和通路合作夥伴名單
  • 主要最終用戶列表

第4章:全球市場趨勢與策略

  • 關鍵科技與未來趨勢
    • 人工智慧和自主智慧
    • 自主系統、機器人、智慧運輸
    • 電動交通和交通運輸電氣化
    • 數位化、雲端運算、巨量資料、網路安全
    • 工業4.0和智慧製造
  • 主要趨勢
    • 高性能汽車運算架構的廣泛應用
    • 對低延遲汽車數據處理的需求日益成長
    • 先進感測器數據處理功能的整合正在穩步推進。
    • 用於汽車的節能半導體設計正在不斷開發中。
    • 對高可靠性汽車半導體元件的需求不斷成長。

第5章 終端用戶產業市場分析

  • 目的地設備製造商
  • 自動駕駛出行服務供應商
  • 車隊營運商
  • 汽車業一級供應商
  • 其他最終用戶

第6章 市場:宏觀經濟情景,包括利率、通貨膨脹、地緣政治、貿易戰和關稅的影響、關稅戰和貿易保護主義對供應鏈的影響,以及 COVID-19 疫情對市場的影響。

第7章:全球策略分析架構、目前市場規模、市場對比及成長率分析

  • 全球汽車自動駕駛晶片市場:PESTEL分析
  • 全球汽車自動駕駛晶片市場:規模、對比及成長率分析
  • 全球汽車自動駕駛晶片市場表現:規模與成長,2020-2025年
  • 全球汽車自動駕駛晶片市場預測:規模與成長,2025-2030年,2035年

第8章:全球市場總規模(TAM)

第9章 市場細分

  • 按晶片結構
  • 基於中央處理器 (CPU) 的晶片、基於圖形處理器 (GPU) 的晶片、專用整合電路 (ASIC)、現場可編程閘陣列(FPGA)、神經處理單元 (NPU) 或人工智慧 (AI) 加速器晶片以及系統晶片(SoC)。
  • 車輛類型
  • 乘用車、商用車、無人計程車、自動駕駛接駁車
  • 按自動化級別
  • 0級:無自動駕駛,1級:駕駛輔助,2級:部分自動駕駛,3級:有條件自動駕駛,4級:高度自動駕駛,5級:完全自動駕駛
  • 透過使用
  • 高級駕駛輔助系統 (ADAS)、自動駕駛、車載人工智慧 (AI) 計算、車隊和移動出行平台
  • 按最終用途
  • 原始設備製造商 (OEM)、自動駕駛旅遊服務供應商、車隊營運商
  • 按類型細分:基於中央處理器 (CPU) 的晶片
  • 通用CPU晶片、多核心CPU晶片、嵌入式CPU晶片、車規級CPU晶片
  • 按類型細分:基於圖形處理單元 (GPU) 的晶片
  • 整合式圖形處理器(GPU)晶片、獨立圖形處理器(GPU)晶片、車載圖形處理器(GPU)加速器、高效能運算圖形處理器(GPU)晶片
  • 按類型細分:專用積體電路
  • 用於自動駕駛的專用積體電路、用於人工智慧推理的專用積體電路、用於影像處理的專用積體電路、用於感測器融合的專用積體電路
  • 按類型細分:現場可編程閘陣列
  • 低階FPGA晶片、中階端FPGA晶片、高階FPGA晶片、汽車級FPGA晶片
  • 按類型細分:神經處理單元,或人工智慧加速晶片
  • 邊緣AI加速晶片、深度學習加速晶片、機器學習加速晶片、視覺AI加速晶片
  • 按類型細分:晶片系統
  • 汽車系統晶片、人工智慧系統晶片、影像處理系統晶片、整合式ADAS(高級駕駛輔助系統)系統晶片

第10章 區域與國別分析

第11章 亞太市場

第12章:中國市場

第13章:印度市場

第14章:日本市場

第15章:澳洲市場

第16章:印尼市場

第17章:韓國市場

第18章 台灣市場

第19章 東南亞市場

第20章 西歐市場

第21章英國市場

第22章:德國市場

第23章:法國市場

第24章:義大利市場

第25章:西班牙市場

第26章:東歐市場

第27章:俄羅斯市場

第28章 北美市場

第29章:美國市場

第30章:加拿大市場

第31章:南美市場

第32章:巴西市場

第33章 中東市場

第34章:非洲市場

第35章 市場監理與投資環境

第36章:競爭格局與公司概況

  • 汽車自動駕駛晶片市場:競爭格局及市場佔有率(2024年)
  • 汽車自動駕駛晶片市場:公司估值矩陣
  • 汽車自動駕駛晶片市場:公司概況
    • Samsung Electronics Co. Ltd.
    • NVIDIA Corporation
    • Huawei Technologies Co. Ltd.
    • Tesla Inc.
    • Intel Corporation

第37章 其他大型企業和創新企業

  • Qualcomm Incorporated, Advanced Micro Devices Inc., Baidu Inc., Texas Instruments Incorporated, Infineon Technologies AG, NXP Semiconductors NV, STMicroelectronics NV, Renesas Electronics Corporation, Mobileye Global Inc., Socionext Inc., Ambarella Inc., Tenstorrent Inc., SemiDrive Technology Co. Ltd., Axera Semiconductor Co. Ltd., Horizon Robotics Inc.

第38章:全球市場競爭基準分析與儀錶板

第39章:預計進入市場的新創企業

第40章 重大併購

第41章 具有高市場潛力的國家、細分市場與策略

  • 2030年汽車自動駕駛晶片市場:提供新機會的國家
  • 2030年汽車自動駕駛晶片市場:充滿新機會的細分市場
  • 2030年汽車自動駕駛晶片市場:成長策略
    • 基於市場趨勢的策略
    • 競爭對手的策略

第42章附錄

簡介目錄
Product Code: EE6MASDC02_G26Q3

An automotive self-driving chip is a specialized semiconductor component designed to perform high-speed data processing and artificial intelligence computations for automotive applications. These chips provide advanced computational capabilities through efficient processing, low latency, and enhanced reliability to support the evolving demands of intelligent vehicle technologies.

The primary chip architectures of automotive self-driving chips include central processing unit based chips, graphics processing unit based chips, application specific integrated circuits, field programmable gate arrays, neural processing unit or artificial intelligence accelerator chips, and system on chip. Central processing unit based chips refer to semiconductor processors that execute general computing instructions and handle control and processing functions within automotive systems. These chips are used in passenger vehicles, commercial vehicles, robotaxis, and autonomous shuttles and support level 0 no automation, level 1 driver assistance, level 2 partial automation, level 3 conditional automation, level 4 high automation, and level 5 full automation. The various applications include advanced driver assistance systems, autonomous driving, in vehicle artificial intelligence computing, and fleet and mobility platforms, and they are used by end users such as original equipment manufacturers, autonomous mobility service providers, and fleet operators.

Tariffs are influencing the automotive self-driving chip market by increasing the cost of imported semiconductor wafers, advanced processors, AI accelerators, packaging materials, and semiconductor manufacturing equipment. This is raising chip production costs and creating supply chain pressures, particularly in regions dependent on semiconductor imports and concentrated manufacturing networks such as Asia-Pacific, North America, and Europe. Chip architecture segments such as GPU-based chips, AI accelerators, ASICs, and SoCs are particularly affected due to complex global semiconductor supply chains. However, tariffs are also encouraging domestic chip manufacturing, regional supplier diversification, and increased investment in localized semiconductor ecosystems, supporting greater long-term supply chain resilience.

The automotive self-driving chip market research report is one of a series of new reports from The Business Research Company that provides automotive self-driving chip market statistics, including automotive self-driving chip industry global market size, regional shares, competitors with a automotive self-driving chip market share, detailed automotive self-driving chip market segments, market trends and opportunities, and any further data you may need to thrive in the automotive self-driving chip industry. This automotive self-driving chip market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The automotive self-driving chip market size has grown rapidly in recent years. It will grow from $14.88 billion in 2025 to $17.76 billion in 2026 at a compound annual growth rate (CAGR) of 19.4%. The growth in the historic period can be attributed to increasing adoption of advanced driver assistance systems, rising levels of vehicle automation, growing demand for high-speed automotive data processing, increasing deployment of autonomous driving technologies, and expanding integration of electronic systems in vehicles.

The automotive self-driving chip market size is expected to see rapid growth in the next few years. It will grow to $35.55 billion in 2030 at a compound annual growth rate (CAGR) of 18.9%. The growth in the forecast period can be attributed to increasing demand for high-performance automotive computing, rising complexity of autonomous driving algorithms, growing need for low-latency AI inference, expanding deployment of robotaxis and autonomous shuttles, and increasing demand for centralized vehicle computing architectures. Major trends in the forecast period include growing adoption of high-performance automotive computing architectures, rising demand for low-latency automotive data processing, increasing integration of advanced sensor data processing capabilities, growing development of energy-efficient automotive semiconductor designs, and rising demand for highly reliable automotive-grade semiconductor components.

The rising adoption of autonomous and semi-autonomous vehicles is expected to drive the growth of the automotive self-driving chip market in the coming years. Autonomous and semi-autonomous vehicles are vehicles that use advanced technologies to perform some or all driving tasks with varying levels of human involvement. The adoption of autonomous and semi-autonomous vehicles is increasing due to rising demand for improved road safety, as advanced driving technologies help reduce human errors and prevent accidents. The increasing adoption of autonomous and semi-autonomous vehicles supports the automotive self-driving chip market by increasing demand for high-performance processors that enable real-time sensor data processing, artificial intelligence (AI) decision-making, and safe vehicle navigation. For instance, in December 2024, according to the National Highway Traffic Safety Administration, a US-based government agency, by 2030, an estimated 4.5 million self-driving vehicles will operate on U.S. roads. Therefore, the rising adoption of autonomous and semi-autonomous vehicles is driving the growth of the automotive self-driving chip market.

Major companies operating in the automotive self-driving chip market are focusing on developing advanced automotive-grade processors to improve autonomous driving performance, enhance computing efficiency, and lower intelligent driving hardware costs. Automotive-grade processors are high-reliability processors engineered to meet automotive safety and environmental standards, supporting advanced driver assistance systems (ADAS), autonomous driving, infotainment, and real-time vehicle control. For instance, in May 2026, BYD Company Ltd., a China-based electric vehicle manufacturer, unveiled the Xuanji A3, a 4-nanometer automotive-grade self-driving chip designed to support Level 3 and Level 4 autonomous driving. The chip has entered mass production and provides high computing performance with improved energy efficiency while reducing hardware costs compared with conventional autonomous driving platforms. It also supports BYD's intelligent driving ecosystem, including its God's Eye advanced driver assistance system, strengthening the company's capabilities in autonomous vehicle technology.

In May 2026, Hyundai Motor Company, a South Korea-based automotive manufacturer, partnered with DEEPX and Telechips to collaborate on developing and integrating advanced semiconductor technologies for autonomous driving systems. Through this partnership, the companies aim to enhance autonomous vehicle capabilities by improving high-performance, low-power, and efficient computing solutions for next-generation mobility technologies. DEEPX is a South Korea-based AI semiconductor company, while Telechips is a South Korea-based semiconductor company that develops automotive system-on-chip (SoC) solutions, infotainment processors, and vehicle computing technologies.

Major companies operating in the automotive self-driving chip market are Samsung Electronics Co. Ltd., NVIDIA Corporation, Huawei Technologies Co. Ltd., Tesla Inc., Intel Corporation, Qualcomm Incorporated, Advanced Micro Devices Inc., Baidu Inc., Texas Instruments Incorporated, Infineon Technologies AG, NXP Semiconductors N.V., STMicroelectronics N.V., Renesas Electronics Corporation, Mobileye Global Inc., Socionext Inc., Ambarella Inc., Tenstorrent Inc., SemiDrive Technology Co. Ltd., Axera Semiconductor Co. Ltd., Horizon Robotics Inc., Black Sesame International Holding Limited

North America was the dominant region in the automotive self-driving chip market in 2025. Asia-Pacific is expected to be the rapidly growing region in the forecast period. The regions covered in the automotive self-driving chip market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the automotive self-driving chip market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The automotive self-driving chip market consists of revenues earned by entities by providing services such as sensor data processing, real-time decision processing, computer vision processing, and machine learning model execution. The market value includes the value of related goods sold by the service provider or included within the service offering. The automotive self-driving chip market also includes sales of microcontroller units (MCUs), automotive vision processing chips, sensor fusion processing chips, and edge AI processing chips. Values in this market are 'factory gate' values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Automotive Self-Driving Chip Market Global Report 2026 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses automotive self-driving chip market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

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Where is the largest and fastest growing market for automotive self-driving chip ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The automotive self-driving chip market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

  • The market characteristics section of the report defines and explains the market. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
  • The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
  • The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
  • The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
  • The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
  • The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
  • The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
  • The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
  • Market segmentations break down the market into sub markets.
  • The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
  • Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
  • The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
  • The company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.

Scope

  • Markets Covered:1) By Chip Architecture: Central Processing Unit Based Chips; Graphics Processing Unit Based Chips; Application Specific Integrated Circuits; Field Programmable Gate Arrays; Neural Processing Unit Or Artificial Intelligence Accelerator Chips; System On Chip
  • 2) By Vehicle Type: Passenger Vehicles; Commercial Vehicles; Robotaxis; Autonomous Shuttles
  • 3) By Level of Automation: Level 0 No Automation; Level 1 Driver Assistance; Level 2 Partial Automation; Level 3 Conditional Automation; Level 4 High Automation; Level 5 Full Automation
  • 4) By Application: Advanced Driver Assistance Systems; Autonomous Driving; In Vehicle Artificial Intelligence Computing; Fleet And Mobility Platforms
  • 5) By End Use: Original Equipment Manufacturers; Autonomous Mobility Service Providers; Fleet Operators
  • Subsegments:
  • 1) By Central Processing Unit Based Chips: General Purpose Central Processing Unit Chips; Multi Core Central Processing Unit Chips; Embedded Central Processing Unit Chips; Automotive Grade Central Processing Unit Chips
  • 2) By Graphics Processing Unit Based Chips: Integrated Graphics Processing Unit Chips; Discrete Graphics Processing Unit Chips; Automotive Graphics Processing Unit Accelerators; High Performance Computing Graphics Processing Unit Chips
  • 3) By Application Specific Integrated Circuits: Autonomous Driving Application Specific Integrated Circuits; Artificial Intelligence Inference Application Specific Integrated Circuits; Vision Processing Application Specific Integrated Circuits; Sensor Fusion Application Specific Integrated Circuits
  • 4) By Field Programmable Gate Arrays: Low End Field Programmable Gate Array Chips; Mid Range Field Programmable Gate Array Chips; High End Field Programmable Gate Array Chips; Automotive Grade Field Programmable Gate Array Chips
  • 5) By Neural Processing Unit Or Artificial Intelligence Accelerator Chips: Edge Artificial Intelligence Accelerator Chips; Deep Learning Accelerator Chips; Machine Learning Accelerator Chips; Vision Artificial Intelligence Accelerator Chips
  • 6) By System On Chip: Automotive System On Chip; Artificial Intelligence System On Chip; Vision Processing System On Chip; Integrated Advanced Driver Assistance Systems System On Chip
  • Companies Mentioned: Samsung Electronics Co. Ltd.; NVIDIA Corporation; Huawei Technologies Co. Ltd.; Tesla Inc.; Intel Corporation; Qualcomm Incorporated; Advanced Micro Devices Inc.; Baidu Inc.; Texas Instruments Incorporated; Infineon Technologies AG; NXP Semiconductors N.V.; STMicroelectronics N.V.; Renesas Electronics Corporation; Mobileye Global Inc.; Socionext Inc.; Ambarella Inc.; Tenstorrent Inc.; SemiDrive Technology Co. Ltd.; Axera Semiconductor Co. Ltd.; Horizon Robotics Inc.; Black Sesame International Holding Limited
  • Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain
  • Regions: Asia-Pacific; South East Asia; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
  • Time Series: Five years historic and ten years forecast.
  • Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
  • Data Segmentations: country and regional historic and forecast data, market share of competitors, market segments.
  • Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
  • Delivery Format: Word, PDF or Interactive Report
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Table of Contents

1. Executive Summary

  • 1.1. Key Market Insights (2020-2035)
  • 1.2. Visual Dashboard: Market Size, Growth Rate, Hotspots
  • 1.3. Major Factors Driving the Market
  • 1.4. Top Three Trends Shaping the Market

2. Automotive Self-Driving Chip Market Characteristics

  • 2.1. Market Definition & Scope
  • 2.2. Market Segmentations
  • 2.3. Overview of Key Products and Services
  • 2.4. Global Automotive Self-Driving Chip Market Attractiveness Scoring And Analysis
    • 2.4.1. Overview of Market Attractiveness Framework
    • 2.4.2. Quantitative Scoring Methodology
    • 2.4.3. Factor-Wise Evaluation
  • Growth Potential Analysis, Competitive Dynamics Assessment, Strategic Fit Assessment And Risk Profile Evaluation
    • 2.4.4. Market Attractiveness Scoring and Interpretation
    • 2.4.5. Strategic Implications and Recommendations

3. Automotive Self-Driving Chip Market Supply Chain Analysis

  • 3.1. Overview of the Supply Chain and Ecosystem
  • 3.2. List Of Key Raw Materials, Resources & Suppliers
  • 3.3. List Of Major Distributors and Channel Partners
  • 3.4. List Of Major End Users

4. Global Automotive Self-Driving Chip Market Trends And Strategies

  • 4.1. Key Technologies & Future Trends
    • 4.1.1 Artificial Intelligence & Autonomous Intelligence
    • 4.1.2 Autonomous Systems, Robotics & Smart Mobility
    • 4.1.3 Electric Mobility & Transportation Electrification
    • 4.1.4 Digitalization, Cloud, Big Data & Cybersecurity
    • 4.1.5 Industry 4.0 & Intelligent Manufacturing
  • 4.2. Major Trends
    • 4.2.1 Increasing Adoption Of High-Performance Automotive Computing Architectures
    • 4.2.2 Rising Demand For Low-Latency Automotive Data Processing
    • 4.2.3 Growing Integration Of Advanced Sensor Data Processing Capabilities
    • 4.2.4 Increasing Development Of Energy-Efficient Automotive Semiconductor Designs
    • 4.2.5 Rising Demand For High-Reliability Automotive-Grade Semiconductor Components

5. Automotive Self-Driving Chip Market Analysis Of End Use Industries

  • 5.1 Original Equipment Manufacturers
  • 5.2 Autonomous Mobility Service Providers
  • 5.3 Fleet Operators
  • 5.4 Automotive Tier-One Suppliers
  • 5.5 Other End Users

6. Automotive Self-Driving Chip Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, Supply Chain Impact from Tariff War & Trade Protectionism, And Covid And Recovery On The Market

7. Global Automotive Self-Driving Chip Strategic Analysis Framework, Current Market Size, Market Comparisons And Growth Rate Analysis

  • 7.1. Global Automotive Self-Driving Chip PESTEL Analysis (Political, Economical, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
  • 7.2. Global Automotive Self-Driving Chip Market Size, Comparisons And Growth Rate Analysis
  • 7.3. Global Automotive Self-Driving Chip Historic Market Size and Growth, 2020 - 2025, Value ($ Billion)
  • 7.4. Global Automotive Self-Driving Chip Forecast Market Size and Growth, 2025 - 2030, 2035F, Value ($ Billion)

8. Global Automotive Self-Driving Chip Total Addressable Market (TAM) Analysis for the Market

  • 8.1. Definition and Scope of Total Addressable Market (TAM)
  • 8.2. Methodology and Assumptions
  • 8.3. Global Total Addressable Market (TAM) Estimation
  • 8.4. TAM vs. Current Market Size Analysis
  • 8.5. Strategic Insights and Growth Opportunities from TAM Analysis

9. Automotive Self-Driving Chip Market Segmentation

  • 9.1. Global Automotive Self-Driving Chip Market, Segmentation By Chip Architecture, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Central Processing Unit Based Chips, Graphics Processing Unit Based Chips, Application Specific Integrated Circuits, Field Programmable Gate Arrays, Neural Processing Unit Or Artificial Intelligence Accelerator Chips, System On Chip
  • 9.2. Global Automotive Self-Driving Chip Market, Segmentation By Vehicle Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Passenger Vehicles, Commercial Vehicles, Robotaxis, Autonomous Shuttles
  • 9.3. Global Automotive Self-Driving Chip Market, Segmentation By Level of Automation, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Level 0 No Automation, Level 1 Driver Assistance, Level 2 Partial Automation, Level 3 Conditional Automation, Level 4 High Automation, Level 5 Full Automation
  • 9.4. Global Automotive Self-Driving Chip Market, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Advanced Driver Assistance Systems, Autonomous Driving, In Vehicle Artificial Intelligence Computing, Fleet And Mobility Platforms
  • 9.5. Global Automotive Self-Driving Chip Market, Segmentation By End Use, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Original Equipment Manufacturers, Autonomous Mobility Service Providers, Fleet Operators
  • 9.6. Global Automotive Self-Driving Chip Market, Sub-Segmentation Of Central Processing Unit Based Chips, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • General Purpose Central Processing Unit Chips, Multi Core Central Processing Unit Chips, Embedded Central Processing Unit Chips, Automotive Grade Central Processing Unit Chips
  • 9.7. Global Automotive Self-Driving Chip Market, Sub-Segmentation Of Graphics Processing Unit Based Chips, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Integrated Graphics Processing Unit Chips, Discrete Graphics Processing Unit Chips, Automotive Graphics Processing Unit Accelerators, High Performance Computing Graphics Processing Unit Chips
  • 9.8. Global Automotive Self-Driving Chip Market, Sub-Segmentation Of Application Specific Integrated Circuits, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Autonomous Driving Application Specific Integrated Circuits, Artificial Intelligence Inference Application Specific Integrated Circuits, Vision Processing Application Specific Integrated Circuits, Sensor Fusion Application Specific Integrated Circuits
  • 9.9. Global Automotive Self-Driving Chip Market, Sub-Segmentation Of Field Programmable Gate Arrays, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Low End Field Programmable Gate Array Chips, Mid Range Field Programmable Gate Array Chips, High End Field Programmable Gate Array Chips, Automotive Grade Field Programmable Gate Array Chips
  • 9.10. Global Automotive Self-Driving Chip Market, Sub-Segmentation Of Neural Processing Unit Or Artificial Intelligence Accelerator Chips, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Edge Artificial Intelligence Accelerator Chips, Deep Learning Accelerator Chips, Machine Learning Accelerator Chips, Vision Artificial Intelligence Accelerator Chips
  • 9.11. Global Automotive Self-Driving Chip Market, Sub-Segmentation Of System On Chip, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Automotive System On Chip, Artificial Intelligence System On Chip, Vision Processing System On Chip, Integrated Advanced Driver Assistance Systems System On Chip

10. Automotive Self-Driving Chip Market Regional And Country Analysis

  • 10.1. Global Automotive Self-Driving Chip Market, Split By Region, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • 10.2. Global Automotive Self-Driving Chip Market, Split By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

11. Asia-Pacific Automotive Self-Driving Chip Market

  • 11.1. Asia-Pacific Automotive Self-Driving Chip Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 11.2. Asia-Pacific Automotive Self-Driving Chip Market, Segmentation By Chip Architecture, Segmentation By Vehicle Type, Segmentation By Level of Automation, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

12. China Automotive Self-Driving Chip Market

  • 12.1. China Automotive Self-Driving Chip Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 12.2. China Automotive Self-Driving Chip Market, Segmentation By Chip Architecture, Segmentation By Vehicle Type, Segmentation By Level of Automation, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

13. India Automotive Self-Driving Chip Market

  • 13.1. India Automotive Self-Driving Chip Market, Segmentation By Chip Architecture, Segmentation By Vehicle Type, Segmentation By Level of Automation, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

14. Japan Automotive Self-Driving Chip Market

  • 14.1. Japan Automotive Self-Driving Chip Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 14.2. Japan Automotive Self-Driving Chip Market, Segmentation By Chip Architecture, Segmentation By Vehicle Type, Segmentation By Level of Automation, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

15. Australia Automotive Self-Driving Chip Market

  • 15.1. Australia Automotive Self-Driving Chip Market, Segmentation By Chip Architecture, Segmentation By Vehicle Type, Segmentation By Level of Automation, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

16. Indonesia Automotive Self-Driving Chip Market

  • 16.1. Indonesia Automotive Self-Driving Chip Market, Segmentation By Chip Architecture, Segmentation By Vehicle Type, Segmentation By Level of Automation, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

17. South Korea Automotive Self-Driving Chip Market

  • 17.1. South Korea Automotive Self-Driving Chip Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 17.2. South Korea Automotive Self-Driving Chip Market, Segmentation By Chip Architecture, Segmentation By Vehicle Type, Segmentation By Level of Automation, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

18. Taiwan Automotive Self-Driving Chip Market

  • 18.1. Taiwan Automotive Self-Driving Chip Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 18.2. Taiwan Automotive Self-Driving Chip Market, Segmentation By Chip Architecture, Segmentation By Vehicle Type, Segmentation By Level of Automation, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

19. South East Asia Automotive Self-Driving Chip Market

  • 19.1. South East Asia Automotive Self-Driving Chip Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 19.2. South East Asia Automotive Self-Driving Chip Market, Segmentation By Chip Architecture, Segmentation By Vehicle Type, Segmentation By Level of Automation, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

20. Western Europe Automotive Self-Driving Chip Market

  • 20.1. Western Europe Automotive Self-Driving Chip Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 20.2. Western Europe Automotive Self-Driving Chip Market, Segmentation By Chip Architecture, Segmentation By Vehicle Type, Segmentation By Level of Automation, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

21. UK Automotive Self-Driving Chip Market

  • 21.1. UK Automotive Self-Driving Chip Market, Segmentation By Chip Architecture, Segmentation By Vehicle Type, Segmentation By Level of Automation, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

22. Germany Automotive Self-Driving Chip Market

  • 22.1. Germany Automotive Self-Driving Chip Market, Segmentation By Chip Architecture, Segmentation By Vehicle Type, Segmentation By Level of Automation, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

23. France Automotive Self-Driving Chip Market

  • 23.1. France Automotive Self-Driving Chip Market, Segmentation By Chip Architecture, Segmentation By Vehicle Type, Segmentation By Level of Automation, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

24. Italy Automotive Self-Driving Chip Market

  • 24.1. Italy Automotive Self-Driving Chip Market, Segmentation By Chip Architecture, Segmentation By Vehicle Type, Segmentation By Level of Automation, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

25. Spain Automotive Self-Driving Chip Market

  • 25.1. Spain Automotive Self-Driving Chip Market, Segmentation By Chip Architecture, Segmentation By Vehicle Type, Segmentation By Level of Automation, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

26. Eastern Europe Automotive Self-Driving Chip Market

  • 26.1. Eastern Europe Automotive Self-Driving Chip Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 26.2. Eastern Europe Automotive Self-Driving Chip Market, Segmentation By Chip Architecture, Segmentation By Vehicle Type, Segmentation By Level of Automation, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

27. Russia Automotive Self-Driving Chip Market

  • 27.1. Russia Automotive Self-Driving Chip Market, Segmentation By Chip Architecture, Segmentation By Vehicle Type, Segmentation By Level of Automation, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

28. North America Automotive Self-Driving Chip Market

  • 28.1. North America Automotive Self-Driving Chip Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 28.2. North America Automotive Self-Driving Chip Market, Segmentation By Chip Architecture, Segmentation By Vehicle Type, Segmentation By Level of Automation, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

29. USA Automotive Self-Driving Chip Market

  • 29.1. USA Automotive Self-Driving Chip Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 29.2. USA Automotive Self-Driving Chip Market, Segmentation By Chip Architecture, Segmentation By Vehicle Type, Segmentation By Level of Automation, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

30. Canada Automotive Self-Driving Chip Market

  • 30.1. Canada Automotive Self-Driving Chip Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 30.2. Canada Automotive Self-Driving Chip Market, Segmentation By Chip Architecture, Segmentation By Vehicle Type, Segmentation By Level of Automation, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

31. South America Automotive Self-Driving Chip Market

  • 31.1. South America Automotive Self-Driving Chip Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 31.2. South America Automotive Self-Driving Chip Market, Segmentation By Chip Architecture, Segmentation By Vehicle Type, Segmentation By Level of Automation, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

32. Brazil Automotive Self-Driving Chip Market

  • 32.1. Brazil Automotive Self-Driving Chip Market, Segmentation By Chip Architecture, Segmentation By Vehicle Type, Segmentation By Level of Automation, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

33. Middle East Automotive Self-Driving Chip Market

  • 33.1. Middle East Automotive Self-Driving Chip Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 33.2. Middle East Automotive Self-Driving Chip Market, Segmentation By Chip Architecture, Segmentation By Vehicle Type, Segmentation By Level of Automation, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

34. Africa Automotive Self-Driving Chip Market

  • 34.1. Africa Automotive Self-Driving Chip Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 34.2. Africa Automotive Self-Driving Chip Market, Segmentation By Chip Architecture, Segmentation By Vehicle Type, Segmentation By Level of Automation, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

35. Automotive Self-Driving Chip Market Regulatory and Investment Landscape

36. Automotive Self-Driving Chip Market Competitive Landscape And Company Profiles

  • 36.1. Automotive Self-Driving Chip Market Competitive Landscape And Market Share 2024
    • 36.1.1. Top 10 Companies (Ranked by revenue/share)
  • 36.2. Automotive Self-Driving Chip Market - Company Scoring Matrix
    • 36.2.1. Market Revenues
    • 36.2.2. Product Innovation Score
    • 36.2.3. Brand Recognition
  • 36.3. Automotive Self-Driving Chip Market Company Profiles
    • 36.3.1. Samsung Electronics Co. Ltd. Overview, Products and Services, Strategy and Financial Analysis
    • 36.3.2. NVIDIA Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 36.3.3. Huawei Technologies Co. Ltd. Overview, Products and Services, Strategy and Financial Analysis
    • 36.3.4. Tesla Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 36.3.5. Intel Corporation Overview, Products and Services, Strategy and Financial Analysis

37. Automotive Self-Driving Chip Market Other Major And Innovative Companies

  • Qualcomm Incorporated, Advanced Micro Devices Inc., Baidu Inc., Texas Instruments Incorporated, Infineon Technologies AG, NXP Semiconductors N.V., STMicroelectronics N.V., Renesas Electronics Corporation, Mobileye Global Inc., Socionext Inc., Ambarella Inc., Tenstorrent Inc., SemiDrive Technology Co. Ltd., Axera Semiconductor Co. Ltd., Horizon Robotics Inc.

38. Global Automotive Self-Driving Chip Market Competitive Benchmarking And Dashboard

39. Upcoming Startups in the Market

40. Key Mergers And Acquisitions In The Automotive Self-Driving Chip Market

41. Automotive Self-Driving Chip Market High Potential Countries, Segments and Strategies

  • 41.1 Automotive Self-Driving Chip Market In 2030 - Countries Offering Most New Opportunities
  • 41.2 Automotive Self-Driving Chip Market In 2030 - Segments Offering Most New Opportunities
  • 41.3 Automotive Self-Driving Chip Market In 2030 - Growth Strategies
    • 41.3.1 Market Trend Based Strategies
    • 41.3.2 Competitor Strategies

42. Appendix

  • 42.1. Abbreviations
  • 42.2. Currencies
  • 42.3. Historic And Forecast Inflation Rates
  • 42.4. Research Inquiries
  • 42.5. The Business Research Company
  • 42.6. Copyright And Disclaimer