2026-2030年全球汽車產業人工智慧市場

全球汽車人工智慧市場預計將在 2025 年至 2030 年間成長至 158.615 億美元，預測期內複合年成長率為 30.2%。

這份關於全球汽車人工智慧市場的報告提供了全面的分析，包括市場規模和預測、趨勢、成長要素、挑戰以及涵蓋約 25 家供應商的供應商分析。

本報告對當前市場狀況、最新趨勢和促進因素以及整體市場環境進行了最新分析。推動市場成長的因素包括：高階駕駛輔助系統 (ADAS) 的日益普及、對聯網汽車和軟體定義汽車 (SDV) 的需求不斷成長，以及對自動駕駛技術研發投入的增加。

本研究客觀地結合了一手和二手訊息，包括來自主要行業相關人員的信息。報告內容涵蓋主要公司分析、全面的市場規模數據、區域細分分析以及供應商格局。報告包含歷史數據和預測數據。

該研究指出，通用人工智慧與車載數位體驗的日益融合是未來幾年全球汽車人工智慧市場成長的主要驅動力之一。此外，專為汽車設計的人工智慧運算架構的出現以及自動駕駛出行即服務（MaaS）平台的日益普及，預計也將帶來顯著的市場需求。

目錄

第1章執行摘要

第2章 Technavio 分析

• 分析定價、生命週期、顧客購買籃子、採用率和購買標準。
• 輸入的重要性及差異化因素
• 干擾因素
• 促進因素和挑戰的影響

第3章 市場狀況

• 市場生態系統
• 市場特徵
• 價值鏈分析

第4章 市場規模

• 市場的定義
• 市場區隔分析
• 2025年市場規模
• 市場展望，2025-2030年

第5章 市場規模與表現

• 2020-2024年全球汽車產業人工智慧市場
• 基於組件的細分市場分析，2020-2024 年
• 2020-2024年基於技術的細分市場分析
• 基於應用領域的細分市場分析，2020-2024 年
• 2020-2024年車輛類型細分市場分析
• 區域區隔市場分析，2020-2024 年
• 2020-2024年各國細分市場分析

第6章 定性分析

• 地緣政治衝突的影響：全球汽車產業人工智慧市場。

第7章：五力分析

第8章 市場區隔：按組件

• 比較：按組件
• 硬體
• 軟體
• 服務
• 市場機會：按組件分類

第9章 市場區隔：依技術分類

• 比較：按技術
• 機器學習
• 電腦視覺
• 深度學習
• 情境意識
• 自然語言處理
• 市場機會：依技術分類

第10章 市場區隔：依應用

• 比較：按應用
• 半自動駕駛汽車
• 全自動駕駛汽車
• 市場機會：依應用領域分類

第11章 市場區隔：依車輛類型

• 對比：按車輛類型
• 搭乘用車
• 商用車輛
• 市場機會：依車輛類型分類

第12章 客戶狀況

第13章 區域情勢

• 區域細分
• 區域比較
• 北美洲
  • 美國
  • 加拿大
  • 墨西哥
• 亞太地區
  • 中國
  • 日本
  • 韓國
  • 印度
  • 澳洲
  • 新加坡
• 歐洲
  • 德國
  • 英國
  • 法國
  • 義大利
  • 西班牙
  • 荷蘭
• 南美洲
  • 巴西
  • 阿根廷
  • 智利
• 中東和非洲
  • UAE
  • 沙烏地阿拉伯
  • 以色列
  • 南非
  • 土耳其
• 市場機會：按地區分類

第14章 促進因素、挑戰與機遇

• 市場促進因素
• 市場挑戰
• 促進因素和挑戰的影響
• 市場機遇

第15章 競爭格局

• 概述
• 競爭格局
• 中斷狀況
• 產業風險

第16章 競爭分析

• 公司簡介
• 公司排名指標
• 企業市場定位
• Advanced Micro Devices Inc.
• Aptiv PLC
• Baidu Inc.
• Continental AG
• DENSO Corp.
• Google LLC
• Magna International Inc.
• NVIDIA Corp.
• NXP Semiconductors NV
• Qualcomm Inc.
• Renesas Electronics Corp.
• Robert Bosch GmbH
• Tesla Inc.
• Texas Instruments Inc.
• Valeo SA

第17章附錄

The global AI in automotive market is forecasted to grow by USD 15861.5 mn during 2025-2030, accelerating at a CAGR of 30.2% during the forecast period. The report on the global AI in automotive market provides a holistic analysis, market size and forecast, trends, growth drivers, and challenges, as well as vendor analysis covering around 25 vendors.

The report offers an up-to-date analysis regarding the current market scenario, the latest trends and drivers, and the overall market environment. The market is driven by growing adoption of advanced driver-assistance systems, rising demand for connected and sdv, increasing investment in autonomous mobility development.

The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market size data, segment with regional analysis and vendor landscape in addition to an analysis of the key companies. Reports have historic and forecast data.

Technavio's global AI in automotive market is segmented as below:

By Component

• Hardware
• Software
• Services

By Technology

• Machine learning
• Computer vision
• Deep learning
• Context awareness
• Natural language processing

By Application

• Semi-autonomous vehicles
• Fully-autonomous vehicles

By Vehicle Type

• Passenger vehicles
• Commercial vehicles

Geography

• North America
  • US
  • Canada
  • Mexico
• APAC
  • China
  • Japan
  • South Korea
  • India
  • Australia
  • Singapore
• Europe
  • Germany
  • UK
  • France
  • Italy
  • Spain
  • The Netherlands
• South America
  • Brazil
  • Argentina
  • Chile
• Middle East and Africa
  • UAE
  • South Africa
  • Turkey
• Rest of World (ROW)

This study identifies the growing integration of gen AI within in-vehicle digital experiences as one of the prime reasons driving the global AI in automotive market growth during the next few years. Also, rising emergence of automotive specific AI computing architectures and rising adoption of autonomous maas platforms will lead to sizable demand in the market.

The report on the global AI in automotive market covers the following areas:

• Global AI in automotive market sizing
• Global AI in automotive market forecast
• Global AI in automotive market industry analysis

The robust vendor analysis is designed to help clients improve their market position, and in line with this, this report provides a detailed analysis of several leading global AI in automotive market vendors that include Advanced Micro Devices Inc., Ambarella Inc., Aptiv PLC, Baidu Inc., BlackBerry Ltd., Cerence Inc., Continental AG, DENSO Corp., Google LLC, Harman International Industries, Luminar Technologies Inc., Magna International Inc., Mobileye Technologies Ltd., NVIDIA Corp., NXP Semiconductors NV, Qualcomm Inc., Renesas Electronics Corp., Robert Bosch GmbH, SoundHound AI Inc., Tesla Inc., Texas Instruments Inc., Valeo SA, ZF Friedrichshafen AG. Also, the global AI in automotive market analysis report includes information on upcoming trends and challenges that will influence market growth. This is to help companies strategize and leverage all forthcoming growth opportunities.

The publisher presents a detailed picture of the market by the way of study, synthesis, and summation of data from multiple sources by an analysis of key parameters such as profit, pricing, competition, and promotions. It presents various market facets by identifying the key industry influencers. The data presented is comprehensive, reliable, and a result of extensive primary and secondary research. The market research reports provide a complete competitive landscape and an in-depth vendor selection methodology and analysis using qualitative and quantitative research to forecast accurate market growth.

Table of Contents

1 Executive Summary

• 1.1 Market overview
  • Executive Summary - Chart on Market Overview
  • Executive Summary - Data Table on Market Overview
  • Executive Summary - Chart on Global Market Characteristics
  • Executive Summary - Chart on Market by Geography
  • Executive Summary - Chart on Market Segmentation by Component
  • Executive Summary - Chart on Market Segmentation by Technology
  • Executive Summary - Chart on Market Segmentation by Application
  • Executive Summary - Chart on Market Segmentation by Vehicle Type
  • Executive Summary - Chart on Incremental Growth
  • Executive Summary - Data Table on Incremental Growth
  • Executive Summary - Chart on Company Market Positioning

2 Technavio Analysis

• 2.1 Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
  • Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
• 2.2 Criticality of inputs and Factors of differentiation
• 2.3 Factors of disruption
• 2.4 Impact of drivers and challenges

3 Market Landscape

• 3.1 Market ecosystem
• 3.2 Market characteristics
• 3.3 Value chain analysis

4 Market Sizing

• 4.1 Market definition
• 4.2 Market segment analysis
  • Market segments
• 4.3 Market size 2025
• 4.4 Market outlook: Forecast for 2025-2030

5 Historic Market Size

• 5.1 Global AI In Automotive Market 2020 - 2024
  • Historic Market Size - Data Table on Global AI In Automotive Market 2020 - 2024 ($ million)
• 5.2 Component segment analysis 2020 - 2024
  • Historic Market Size - Component Segment 2020 - 2024 ($ million)
• 5.3 Technology segment analysis 2020 - 2024
  • Historic Market Size - Technology Segment 2020 - 2024 ($ million)
• 5.4 Application segment analysis 2020 - 2024
  • Historic Market Size - Application Segment 2020 - 2024 ($ million)
• 5.5 Vehicle Type segment analysis 2020 - 2024
  • Historic Market Size - Vehicle Type Segment 2020 - 2024 ($ million)
• 5.6 Geography segment analysis 2020 - 2024
  • Historic Market Size - Geography Segment 2020 - 2024 ($ million)
• 5.7 Country segment analysis 2020 - 2024
  • Historic Market Size - Country Segment 2020 - 2024 ($ million)

6 Qualitative Analysis

• 6.1 Impact of geopolitical conflicts on global AI in automotive market

7 Five Forces Analysis

• 7.1 Five forces summary
  • Five forces analysis - Comparison between 2025 and 2030
• 7.2 Bargaining power of buyers
  • Bargaining power of buyers - Impact of key factors 2025 and 2030
• 7.3 Bargaining power of suppliers
  • Bargaining power of suppliers - Impact of key factors in 2025 and 2030
• 7.4 Threat of new entrants
  • Threat of new entrants - Impact of key factors in 2025 and 2030
• 7.5 Threat of substitutes
  • Threat of substitutes - Impact of key factors in 2025 and 2030
• 7.6 Threat of rivalry
  • Threat of rivalry - Impact of key factors in 2025 and 2030
• 7.7 Market condition

8 Market Segmentation by Component

• 8.1 Market segments
• 8.2 Comparison by Component
• 8.3 Hardware - Market size and forecast 2025-2030
• 8.4 Software - Market size and forecast 2025-2030
• 8.5 Services - Market size and forecast 2025-2030
• 8.6 Market opportunity by Component
  • Market opportunity by Component ($ million)

9 Market Segmentation by Technology

• 9.1 Market segments
• 9.2 Comparison by Technology
• 9.3 Machine learning - Market size and forecast 2025-2030
• 9.4 Computer vision - Market size and forecast 2025-2030
• 9.5 Deep learning - Market size and forecast 2025-2030
• 9.6 Context awareness - Market size and forecast 2025-2030
• 9.7 Natural language processing - Market size and forecast 2025-2030
• 9.8 Market opportunity by Technology
  • Market opportunity by Technology ($ million)

10 Market Segmentation by Application

• 10.1 Market segments
• 10.2 Comparison by Application
• 10.3 Semi-autonomous vehicles - Market size and forecast 2025-2030
• 10.4 Fully-autonomous vehicles - Market size and forecast 2025-2030
• 10.5 Market opportunity by Application
  • Market opportunity by Application ($ million)

11 Market Segmentation by Vehicle Type

• 11.1 Market segments
• 11.2 Comparison by Vehicle Type
• 11.3 Passenger vehicles - Market size and forecast 2025-2030
• 11.4 Commercial vehicles - Market size and forecast 2025-2030
• 11.5 Market opportunity by Vehicle Type
  • Market opportunity by Vehicle Type ($ million)

12 Customer Landscape

• 12.1 Customer landscape overview
  • Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria

13 Geographic Landscape

• 13.1 Geographic segmentation
• 13.2 Geographic comparison
• 13.3 North America - Market size and forecast 2025-2030
  • 13.3.1 US - Market size and forecast 2025-2030
  • 13.3.2 Canada - Market size and forecast 2025-2030
  • 13.3.3 Mexico - Market size and forecast 2025-2030
• 13.4 APAC - Market size and forecast 2025-2030
  • 13.4.1 China - Market size and forecast 2025-2030
  • 13.4.2 Japan - Market size and forecast 2025-2030
  • 13.4.3 South Korea - Market size and forecast 2025-2030
  • 13.4.4 India - Market size and forecast 2025-2030
  • 13.4.5 Australia - Market size and forecast 2025-2030
  • 13.4.6 Singapore - Market size and forecast 2025-2030
• 13.5 Europe - Market size and forecast 2025-2030
  • 13.5.1 Germany - Market size and forecast 2025-2030
  • 13.5.2 UK - Market size and forecast 2025-2030
  • 13.5.3 France - Market size and forecast 2025-2030
  • 13.5.4 Italy - Market size and forecast 2025-2030
  • 13.5.5 Spain - Market size and forecast 2025-2030
  • 13.5.6 The Netherlands - Market size and forecast 2025-2030
• 13.6 South America - Market size and forecast 2025-2030
  • 13.6.1 Brazil - Market size and forecast 2025-2030
  • 13.6.2 Argentina - Market size and forecast 2025-2030
  • 13.6.3 Chile - Market size and forecast 2025-2030
• 13.7 Middle East and Africa - Market size and forecast 2025-2030
  • 13.7.1 UAE - Market size and forecast 2025-2030
  • 13.7.2 Saudi Arabia - Market size and forecast 2025-2030
  • 13.7.3 Israel - Market size and forecast 2025-2030
  • 13.7.4 South Africa - Market size and forecast 2025-2030
  • 13.7.5 Turkey - Market size and forecast 2025-2030
• 13.8 Market opportunity by geography
  • Market opportunity by geography ($ million)
  • Data Tables on Market opportunity by geography ($ million)

14 Drivers, Challenges, and Opportunity

• 14.1 Market drivers
  • Growing adoption of advanced driver-assistance systems
  • Rising demand for connected and SDV
  • Increasing investment in autonomous mobility development
• 14.2 Market challenges
  • Data privacy and regulatory compliance complexity
  • High implementation and infrastructure costs
  • Fragmented semiconductor supply chain dependencies
• 14.3 Impact of drivers and challenges
  • Impact of drivers and challenges in 2025 and 2030
• 14.4 Market opportunities
  • Growing integration of gen AI within in-vehicle digital experiences
  • Rising emergence of automotive specific AI computing architectures
  • Rising adoption of autonomous MaaS platforms

15 Competitive Landscape

• 15.1 Overview
• 15.2 Competitive Landscape
  • Overview on criticality of inputs and factors of differentiation
• 15.3 Landscape disruption
  • Overview on factors of disruption
• 15.4 Industry risks
  • Impact of key risks on business

16 Competitive Analysis

• 16.1 Companies profiled
  • Companies covered
• 16.2 Company ranking index
  • Company ranking index
• 16.3 Market positioning of companies
  • Matrix on companies position and classification
• 16.4 Advanced Micro Devices Inc.
  • Advanced Micro Devices Inc. - Overview
  • Advanced Micro Devices Inc. - Business segments
  • Advanced Micro Devices Inc. - Key news
  • Advanced Micro Devices Inc. - Key offerings
  • Advanced Micro Devices Inc. - Segment focus
  • SWOT
• 16.5 Aptiv PLC
  • Aptiv PLC - Overview
  • Aptiv PLC - Business segments
  • Aptiv PLC - Key news
  • Aptiv PLC - Key offerings
  • Aptiv PLC - Segment focus
  • SWOT
• 16.6 Baidu Inc.
  • Baidu Inc. - Overview
  • Baidu Inc. - Business segments
  • Baidu Inc. - Key news
  • Baidu Inc. - Key offerings
  • Baidu Inc. - Segment focus
  • SWOT
• 16.7 Continental AG
  • Continental AG - Overview
  • Continental AG - Business segments
  • Continental AG - Key news
  • Continental AG - Key offerings
  • Continental AG - Segment focus
  • SWOT
• 16.8 DENSO Corp.
  • DENSO Corp. - Overview
  • DENSO Corp. - Business segments
  • DENSO Corp. - Key news
  • DENSO Corp. - Key offerings
  • DENSO Corp. - Segment focus
  • SWOT
• 16.9 Google LLC
  • Google LLC - Overview
  • Google LLC - Product / Service
  • Google LLC - Key news
  • Google LLC - Key offerings
  • SWOT
• 16.10 Magna International Inc.
  • Magna International Inc. - Overview
  • Magna International Inc. - Business segments
  • Magna International Inc. - Key offerings
  • Magna International Inc. - Segment focus
  • SWOT
• 16.11 NVIDIA Corp.
  • NVIDIA Corp. - Overview
  • NVIDIA Corp. - Business segments
  • NVIDIA Corp. - Key news
  • NVIDIA Corp. - Key offerings
  • NVIDIA Corp. - Segment focus
  • SWOT
• 16.12 NXP Semiconductors NV
  • NXP Semiconductors NV - Overview
  • NXP Semiconductors NV - Business segments
  • NXP Semiconductors NV - Key news
  • NXP Semiconductors NV - Key offerings
  • NXP Semiconductors NV - Segment focus
  • SWOT
• 16.13 Qualcomm Inc.
  • Qualcomm Inc. - Overview
  • Qualcomm Inc. - Business segments
  • Qualcomm Inc. - Key news
  • Qualcomm Inc. - Key offerings
  • Qualcomm Inc. - Segment focus
  • SWOT
• 16.14 Renesas Electronics Corp.
  • Renesas Electronics Corp. - Overview
  • Renesas Electronics Corp. - Business segments
  • Renesas Electronics Corp. - Key news
  • Renesas Electronics Corp. - Key offerings
  • Renesas Electronics Corp. - Segment focus
  • SWOT
• 16.15 Robert Bosch GmbH
  • Robert Bosch GmbH - Overview
  • Robert Bosch GmbH - Product / Service
  • Robert Bosch GmbH - Key offerings
  • SWOT
• 16.16 Tesla Inc.
  • Tesla Inc. - Overview
  • Tesla Inc. - Business segments
  • Tesla Inc. - Key offerings
  • Tesla Inc. - Segment focus
  • SWOT
• 16.17 Texas Instruments Inc.
  • Texas Instruments Inc. - Overview
  • Texas Instruments Inc. - Business segments
  • Texas Instruments Inc. - Key news
  • Texas Instruments Inc. - Key offerings
  • Texas Instruments Inc. - Segment focus
  • SWOT
• 16.18 Valeo SA
  • Valeo SA - Overview
  • Valeo SA - Business segments
  • Valeo SA - Key news
  • Valeo SA - Key offerings
  • Valeo SA - Segment focus
  • SWOT

17 Appendix

• 17.1 Scope of the report
  • Market definition
  • Objectives
  • Notes and caveats
• 17.2 Inclusions and exclusions checklist
  • Inclusions checklist
  • Exclusions checklist
• 17.3 Currency conversion rates for US$
  • Currency conversion rates for US$
• 17.4 Research methodology
  • Research methodology
• 17.5 Data procurement
  • Information sources
• 17.6 Data validation
  • Data validation
• 17.7 Validation techniques employed for market sizing
  • Validation techniques employed for market sizing
• 17.8 Data synthesis
  • Data synthesis
• 17.9 360 degree market analysis
  • 360 degree market analysis
• 17.10 List of abbreviations
  • List of abbreviations