汽車人工智慧(AI)市場規模、佔有率和成長分析(按組件、技術、製程、類型、車輛類型、自動駕駛等級、應用和地區分類)-2026-2033年產業預測
市場調查報告書
商品編碼
1899596

汽車人工智慧(AI)市場規模、佔有率和成長分析(按組件、技術、製程、類型、車輛類型、自動駕駛等級、應用和地區分類)-2026-2033年產業預測

Automotive Artificial Intelligence (AI) Market Size, Share, and Growth Analysis, By Component, By Technology, By Process, By Type, By Vehicle Type, By Level of Autonomy, By Application, By Region - Industry Forecast 2026-2033

出版日期: | 出版商: SkyQuest | 英文 197 Pages | 商品交期: 3-5個工作天內

價格
簡介目錄

全球汽車人工智慧(AI)市場規模預計在 2024 年達到 50 億美元,從 2025 年的 61 億美元成長到 2033 年的 297.2 億美元,在預測期(2026-2033 年)內複合年成長率為 21.9%。

全球汽車人工智慧 (AI) 市場正經歷顯著成長,這主要得益於對先進技術的需求,以增強其類人能力,例如語言處理、推理和學習。儘管面臨許多科學挑戰,製造商仍在積極改進和調整其創新技術。汽車產業認知到人工智慧的變革潛力,已在利用該技術最佳化流程、提高安全性和效率方面佔據主導地位。人工智慧的整合不僅有助於提高營運效率,還能改善使用者體驗,凸顯了人工智慧在塑造汽車產業未來發展中的關鍵作用。隨著產業的演進,人工智慧有望成為彌合人類智慧與機器智慧之間鴻溝的變革力量。

全球汽車人工智慧(AI)市場促進因素

隨著消費者對科技進步的了解日益深入,全球汽車人工智慧 (AI) 市場正經歷強勁成長。消費者對自動駕駛汽車日益成長的興趣推動了對高級駕駛輔助系統 (ADAS) 的需求,迫使汽車製造商不斷創新,提升車輛性能和安全性。此外,對乘客舒適性和適應性的關注也推動了該細分市場的收入成長,製造商優先考慮將人工智慧整合到汽車系統中,以革新駕駛體驗。這種向先進技術的轉變反映了汽車產業向更智慧、更安全、更有效率方向發展的更廣泛趨勢,鞏固了人工智慧在汽車產業中的關鍵地位。

限制全球汽車人工智慧(AI)市場的因素

全球汽車人工智慧(AI)市場面臨許多重大挑戰,阻礙了其成長潛力。安全問題是關鍵風險因素,尤其是個人資料保護和網路攻擊風險。涉及主要汽車製造商的事件凸顯了這些挑戰,例如飛雅特克萊斯勒旗下多款車型因軟體漏洞而功能受損,以及惡意程式設計師能夠將惡意軟體注入特斯拉汽車系統。這些消費者安全漏洞凸顯了加強保護措施和通訊協定的必要性,最終對汽車產業人工智慧技術的發展和廣泛應用構成重大障礙。

全球汽車人工智慧(AI)市場趨勢

全球汽車人工智慧 (AI) 市場呈現顯著上升趨勢,這主要得益於消費者對自動駕駛技術的接受度不斷提高以及對道路安全的日益重視。隨著消費者尋求減輕駕駛壓力、提升舒適度,以及對進階駕駛輔助系統 (ADAS) 的偏好轉變,自動駕駛汽車的需求預計將大幅成長。汽車製造商正積極整合創新 AI 解決方案,以在競爭激烈的市場環境中脫穎而出。此外,不斷成長的出行需求與對更佳駕駛體驗的追求相融合,進一步鞏固了 AI 在汽車行業的關鍵地位,預示著強勁的市場成長前景。

目錄

介紹

  • 調查目標
  • 調查範圍
  • 定義

調查方法

  • 資訊收集
  • 二手資料和一手資料方法
  • 市場規模預測
  • 市場假設與限制

執行摘要

  • 全球市場展望
  • 供需趨勢分析
  • 細分市場機會分析

市場動態與展望

  • 市場規模
  • 市場動態
    • 促進因素和機遇
    • 限制與挑戰
  • 波特分析

關鍵市場考察

  • 關鍵成功因素
  • 競爭程度
  • 關鍵投資機會
  • 市場生態系統
  • 市場吸引力指數(2025)
  • PESTEL 分析
  • 總體經濟指標
  • 價值鏈分析
  • 定價分析
  • 監管環境
  • 案例研究
  • 技術進步

全球汽車人工智慧(AI)市場規模(按組件和複合年成長率分類)(2026-2033 年)

  • 硬體
  • 軟體

全球汽車人工智慧(AI)市場規模(按技術及複合年成長率分類)(2026-2033 年)

  • 深度學習
  • 機器學習
  • 情境感知計算
  • 電腦視覺
  • 自然語言處理
  • 其他

全球汽車人工智慧(AI)市場規模(按工藝和複合年成長率分類)(2026-2033 年)

  • 訊號識別
  • 影像識別
  • 資料探勘

全球汽車人工智慧(AI)市場規模(按類型和複合年成長率分類)(2026-2033 年)

  • 圖形處理器(GPU)
  • 微處理器(包括專用積體電路)
  • 現場可程式閘陣列(FPGA)
  • 記憶體和儲存系統
  • 影像感測器
  • 生物識別掃描儀
  • 其他

全球汽車人工智慧(AI)市場規模(按車型分類)及複合年成長率(2026-2033)

  • 搭乘用車
  • 商用車輛

全球汽車人工智慧(AI)市場規模(按自動駕駛等級和複合年成長率分類)(2026-2033 年)

  • 一級
  • 二級
  • 3級
  • 4級

全球汽車人工智慧(AI)市場規模(按應用及複合年成長率分類)(2026-2033 年)

  • 人機介面
  • 半自動駕駛
  • 自動駕駛
  • 身份驗證
  • 駕駛員監控
  • 自動駕駛處理器晶片
  • 其他

全球汽車人工智慧(AI)市場規模及複合年成長率(2026-2033)

  • 北美洲
    • 美國
    • 加拿大
  • 歐洲
    • 德國
    • 西班牙
    • 法國
    • 英國
    • 義大利
    • 其他歐洲地區
  • 亞太地區
    • 中國
    • 印度
    • 日本
    • 韓國
    • 亞太其他地區
  • 拉丁美洲
    • 巴西
    • 其他拉丁美洲地區
  • 中東和非洲
    • 海灣合作理事會國家
    • 南非
    • 其他中東和非洲地區

競爭資訊

  • 前五大公司對比
  • 主要企業的市場定位(2025 年)
  • 主要市場參與者所採取的策略
  • 近期市場趨勢
  • 公司市佔率分析(2025 年)
  • 主要企業公司簡介
    • 公司詳情
    • 產品系列分析
    • 依業務板塊進行公司股票分析
    • 2023-2025年營收年比比較

主要企業簡介

  • Tesla Inc.(United States)
  • Waymo LLC(United States)
  • Nvidia Corporation(United States)
  • Intel Corporation(United States)
  • DiDi Chuxing Technology Co.(China)
  • Uber Technologies Inc.(United States)
  • Horizon Robotics Inc.(China)
  • AEye Inc.(United States)
  • Arbe Robotics Ltd.(Israel)
  • Cerence Inc.(United States)
  • Cognata Ltd.(Israel)
  • Optibus Ltd.(Israel)
  • Pony.ai Inc.(United States)
  • Seeing Machines Ltd.(Australia)
  • UVeye Ltd.(Israel)
  • Scale AI Inc.(United States)
  • XPeng Inc.(China)
  • NIO Inc.(China)
  • WeRide.ai(China)
  • AutoX Inc.(United States)

結論與建議

簡介目錄
Product Code: SQMIG45A2064

Global Automotive Artificial Intelligence (AI) Market size was valued at USD 5.0 Billion in 2024 and is poised to grow from USD 6.1 Billion in 2025 to USD 29.72 Billion by 2033, growing at a CAGR of 21.9% during the forecast period (2026-2033).

The Global Automotive Artificial Intelligence (AI) market is experiencing significant growth driven by the need for advanced technologies that enhance human-like capabilities such as language processing, reasoning, and learning. Despite facing substantial scientific challenges, manufacturers are actively working to improve and adapt their innovations. The automotive sector recognizes the transformative potential of AI, positioning itself as a leader in leveraging these technologies to optimize processes and improve safety and efficiency. This integration of AI not only streamlines operations but also enhances the user experience, underlining the critical role that artificial intelligence plays in shaping the future of the automotive industry. As the sector evolves, AI promises to be a game-changer, bridging the gap between human and machine intelligence.

Top-down and bottom-up approaches were used to estimate and validate the size of the Global Automotive Artificial Intelligence (AI) market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.

Global Automotive Artificial Intelligence (AI) Market Segments Analysis

Global Automotive Artificial Intelligence (AI) Market is segmented by Component, Technology, Process, Type, Vehicle Type, Level of Autonomy, Application and region. Based on Component, the market is segmented into Hardware and Software. Based on Technology, the market is segmented into Deep Learning, Machine Learning, Context- aware Computing, Computer Vision, Natural Language Processing and Others. Based on Process, the market is segmented into Signal Recognition, Image Recognition and Data Mining. Based on Type, the market is segmented into Graphics processing unit (GPU), Microprocessors (Incl. ASIC), Field Programmable Gate Array (FPGA), Memory and Storage systems, Image Sensors, Biometric Scanners and Others. Based on Vehicle Type, the market is segmented into Passenger Vehicles and Commercial Vehicles. Based on Level of Autonomy, the market is segmented into Level 1, Level 2, Level 3 and Level 4. Based on Application, the market is segmented into Human-Machine Interface, Semi-autonomous Driving, Autonomous Driving, Identity Authentication, Driver Monitoring, Autonomous Driving Processor Chips and Others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.

Driver of the Global Automotive Artificial Intelligence (AI) Market

The Global Automotive Artificial Intelligence (AI) market is experiencing robust growth driven by consumers who are increasingly informed about technological advancements. The rising interest in self-driving vehicles fuels demand for advanced driver assistance systems, prompting automakers to innovate by enhancing vehicle performance and safety. Additionally, the focus on passenger comfort and adaptability is driving revenue growth within the sector, as manufacturers prioritize the integration of AI to transform the driving experience. This shift towards sophisticated technology reflects a broader trend towards smarter, safer, and more efficient vehicles, solidifying the role of AI as a critical component in the automotive industry.

Restraints in the Global Automotive Artificial Intelligence (AI) Market

The Global Automotive Artificial Intelligence (AI) market faces several significant challenges that impede its growth potential. Safety and security concerns pose major risks, particularly regarding the protection of personal data and vulnerabilities to cyberattacks. Incidents involving major manufacturers highlight these issues, such as the compromise of functionality in numerous Fiat Chrysler vehicles due to software vulnerabilities, and the infiltration of malware into Tesla car systems by malicious programmers. Such breaches in consumer security underscore the critical need for enhanced safeguards and protocols, ultimately serving as substantial barriers to the advancement and wider adoption of AI technologies within the automotive sector.

Market Trends of the Global Automotive Artificial Intelligence (AI) Market

The Global Automotive Artificial Intelligence (AI) market is experiencing a significant upward trend driven by heightened consumer acceptance of self-driving technologies and an increasing emphasis on road safety. As preferences shift towards advanced driver-assist systems, demand for self-driving vehicles is poised to surge, reflecting consumers' desire for reduced driving-related stress and enhanced comfort. Automakers are responding strategically by integrating innovative AI solutions to differentiate themselves in a competitive landscape. Furthermore, the convergence of rising mobility needs and the quest for improved driving experience is further solidifying AI's pivotal role in the automotive sector, indicating robust growth prospects in the market.

Table of Contents

Introduction

  • Objectives of the Study
  • Scope of the Report
  • Definitions

Research Methodology

  • Information Procurement
  • Secondary & Primary Data Methods
  • Market Size Estimation
  • Market Assumptions & Limitations

Executive Summary

  • Global Market Outlook
  • Supply & Demand Trend Analysis
  • Segmental Opportunity Analysis

Market Dynamics & Outlook

  • Market Overview
  • Market Size
  • Market Dynamics
    • Drivers & Opportunities
    • Restraints & Challenges
  • Porters Analysis
    • Competitive rivalry
    • Threat of substitute
    • Bargaining power of buyers
    • Threat of new entrants
    • Bargaining power of suppliers

Key Market Insights

  • Key Success Factors
  • Degree of Competition
  • Top Investment Pockets
  • Market Ecosystem
  • Market Attractiveness Index, 2025
  • PESTEL Analysis
  • Macro-Economic Indicators
  • Value Chain Analysis
  • Pricing Analysis
  • Regulatory Landscape
  • Case Studies
  • Technological Advancement

Global Automotive Artificial Intelligence (AI) Market Size by Component & CAGR (2026-2033)

  • Market Overview
  • Hardware
  • Software

Global Automotive Artificial Intelligence (AI) Market Size by Technology & CAGR (2026-2033)

  • Market Overview
  • Deep Learning
  • Machine Learning
  • Context- aware Computing
  • Computer Vision
  • Natural Language Processing
  • Others

Global Automotive Artificial Intelligence (AI) Market Size by Process & CAGR (2026-2033)

  • Market Overview
  • Signal Recognition
  • Image Recognition
  • Data Mining

Global Automotive Artificial Intelligence (AI) Market Size by Type & CAGR (2026-2033)

  • Market Overview
  • Graphics processing unit (GPU)
  • Microprocessors (Incl. ASIC)
  • Field Programmable Gate Array (FPGA)
  • Memory and Storage systems
  • Image Sensors
  • Biometric Scanners
  • Others

Global Automotive Artificial Intelligence (AI) Market Size by Vehicle Type & CAGR (2026-2033)

  • Market Overview
  • Passenger Vehicles
  • Commercial Vehicles

Global Automotive Artificial Intelligence (AI) Market Size by Level of Autonomy & CAGR (2026-2033)

  • Market Overview
  • Level 1
  • Level 2
  • Level 3
  • Level 4

Global Automotive Artificial Intelligence (AI) Market Size by Application & CAGR (2026-2033)

  • Market Overview
  • Human-Machine Interface
  • Semi-autonomous Driving
  • Autonomous Driving
  • Identity Authentication
  • Driver Monitoring
  • Autonomous Driving Processor Chips
  • Others

Global Automotive Artificial Intelligence (AI) Market Size & CAGR (2026-2033)

  • North America (Component, Technology, Process, Type, Vehicle Type, Level of Autonomy, Application)
    • US
    • Canada
  • Europe (Component, Technology, Process, Type, Vehicle Type, Level of Autonomy, Application)
    • Germany
    • Spain
    • France
    • UK
    • Italy
    • Rest of Europe
  • Asia Pacific (Component, Technology, Process, Type, Vehicle Type, Level of Autonomy, Application)
    • China
    • India
    • Japan
    • South Korea
    • Rest of Asia-Pacific
  • Latin America (Component, Technology, Process, Type, Vehicle Type, Level of Autonomy, Application)
    • Brazil
    • Rest of Latin America
  • Middle East & Africa (Component, Technology, Process, Type, Vehicle Type, Level of Autonomy, Application)
    • GCC Countries
    • South Africa
    • Rest of Middle East & Africa

Competitive Intelligence

  • Top 5 Player Comparison
  • Market Positioning of Key Players, 2025
  • Strategies Adopted by Key Market Players
  • Recent Developments in the Market
  • Company Market Share Analysis, 2025
  • Company Profiles of All Key Players
    • Company Details
    • Product Portfolio Analysis
    • Company's Segmental Share Analysis
    • Revenue Y-O-Y Comparison (2023-2025)

Key Company Profiles

  • Tesla Inc. (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Waymo LLC (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Nvidia Corporation (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Intel Corporation (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • DiDi Chuxing Technology Co. (China)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Uber Technologies Inc. (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Horizon Robotics Inc. (China)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • AEye Inc. (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Arbe Robotics Ltd. (Israel)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Cerence Inc. (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Cognata Ltd. (Israel)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Optibus Ltd. (Israel)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Pony.ai Inc. (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Seeing Machines Ltd. (Australia)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • UVeye Ltd. (Israel)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Scale AI Inc. (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • XPeng Inc. (China)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • NIO Inc. (China)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • WeRide.ai (China)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • AutoX Inc. (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments

Conclusion & Recommendations