自動車用人工知能市場規模、シェア、成長分析、コンポーネント別、技術別、プロセス別、タイプ別、車両タイプ別、自律性レベル別、用途別、地域別 - 産業予測、2025-2032年

自動車用人工知能（AI）の世界市場規模は、2023年に41億米ドルと評価され、2024年の50億米ドルから2032年には243億7,000万米ドルに成長し、予測期間（2025-2032年）のCAGRは21.9％で成長する見通しです。

人工知能（AI）分野は、ソフトウェア工学の中では進歩が遅い部類に入りますが、言語習得、推論、学習、批判的思考といった人間の認知機能と大いに相互に関連しています。メーカー各社がこれらの技術を適応させ、洗練させる上で重要な科学的課題に取り組む中、自動車産業はAIイノベーションの重要な推進役として浮上しています。AIの可能性を活用することにコミットしている自動車企業は、人間の能力を強化し、模倣するためにこの技術を統合する最前線にいます。この相乗効果は、自動車業界の状況に革命をもたらすだけでなく、企業がイノベーションの複雑さを乗り越え、この急成長しているポテンシャルを活かす中で、AI市場の成長機会が大きく広がっていることを意味しています。

目次

イントロダクション

• 調査の目的
• 調査範囲
• 定義

調査手法

• 情報調達
• 二次データと一次データの方法
• 市場規模予測
• 市場の前提条件と制限

エグゼクティブサマリー

• 世界市場の見通し
• 供給と需要の動向分析
• セグメント別機会分析

市場力学と見通し

• 市場概要
• 市場規模
• 市場力学
  • 促進要因と機会
  • 抑制要因と課題
• ポーターの分析

主な市場の考察

• 重要成功要因
• 競合の程度
• 主な投資機会
• 市場エコシステム
• 市場の魅力指数（2024年）
• PESTEL分析
• マクロ経済指標
• バリューチェーン分析
• 価格分析
• 規制情勢
• ケーススタディ
• 技術の進歩

世界の自動車用人工知能（AI）市場規模：コンポーネント別

• 市場概要
• ハードウェア
• ソフトウェア

世界の自動車用人工知能（AI）市場規模：技術別

• 市場概要
• ディープラーニング
• 機械学習
• コンテキスト認識コンピューティング
• コンピュータビジョン
• 自然言語処理
• その他

世界自動車用人工知能（AI）市場規模：プロセス別

• 市場概要
• 信号認識
• 画像認識
• データマイニング

世界の自動車用人工知能（AI）市場規模：タイプ別

• 市場概要
• グラフィックスプロセッシングユニット（GPU）
• マイクロプロセッサ（ASICを含む）
• フィールドプログラマブルゲートアレイ（FPGA）
• メモリおよびストレージシステム
• イメージセンサー
• 生体認証スキャナ
• その他

世界の自動車用人工知能（AI）市場規模：車両タイプ別

• 市場概要
• 乗用車
• 商用車

世界自動車用人工知能（AI）市場規模：自律性レベル別

• 市場概要
• レベル1
• レベル2
• レベル3
• レベル4

世界の自動車用人工知能（AI）市場規模：用途別

• 市場概要
• ヒューマンマシンインターフェース
• 半自動運転
• 自動運転
• 本人認証
• ドライバーモニタリング
• 自動運転用プロセッサチップ
• その他

世界の自動車用人工知能（AI）市場規模

• 北米
  • 米国
  • カナダ
• 欧州
  • ドイツ
  • スペイン
  • フランス
  • 英国
  • イタリア
  • その他欧州地域
• アジア太平洋地域
  • 中国
  • インド
  • 日本
  • 韓国
  • その他アジア太平洋地域
• ラテンアメリカ
  • ブラジル
  • その他ラテンアメリカ地域
• 中東・アフリカ
  • GCC諸国
  • 南アフリカ
  • その他中東・アフリカ

競合情報

• 上位5社の比較
• 主要企業の市場ポジショニング（2024年）
• 主な市場企業が採用した戦略
• 市場の最近の動向
• 企業の市場シェア分析（2024年）
• 主要企業の企業プロファイル
  • 会社概要
  • 製品ポートフォリオ分析
  • セグメント別シェア分析
  • 収益の前年比比較（2022-2024）

主要企業プロファイル

• 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）

結論と推奨事項

Global Automotive Artificial Intelligence (AI) Market size was valued at USD 4.1 billion in 2023 and is poised to grow from USD 5.0 billion in 2024 to USD 24.37 billion by 2032, growing at a CAGR of 21.9% during the forecast period (2025-2032).

The artificial intelligence (AI) sector, although one of the slower advancements in software engineering, is crucially interconnected with human cognitive functions like language acquisition, reasoning, learning, and critical thinking. As manufacturers grapple with significant scientific challenges in adapting and refining these technologies, the automotive industry emerges as a key driver of AI innovation. With a commitment to harnessing AI's potential, automotive firms are at the forefront of integrating this technology to enhance and mimic human capabilities. This synergy not only promises to revolutionize the automotive landscape but also signifies a robust opportunity for growth within the AI market, as companies navigate the complexities of innovation and seek to capitalize on this burgeoning potential.

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 Segmental 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 significant growth driven by the swift adoption of advanced technologies. As consumers become more informed about the latest innovations, the demand for self-driving vehicles is on the rise, leading to enhanced interest in advanced driver assistance systems. Automakers are keenly observing these trends and are actively developing cutting-edge solutions to improve driver safety and convenience. Moreover, the rising emphasis on passenger comfort and the need for customizable features are further boosting AI implementation in vehicles. This combination of factors is significantly enhancing the market share for automotive AI technologies.

Restraints in the Global Automotive Artificial Intelligence (AI) Market

The Global Automotive Artificial Intelligence (AI) market faces several restraints, particularly concerning safety concerns that may impede its growth. While autonomous vehicles have made advancements and increased customer engagement, issues surrounding safety and security remain significant hurdles. Issues such as personal data privacy, susceptibility to digital attacks, and potential driver distractions are critical considerations. Notably, incidents like a software bug affecting approximately 1.4 million Fiat Chrysler vehicles in the U.S. and malware embedded in Tesla's systems underscore the vulnerability of these technologies. Such security breaches present serious challenges that can hinder market development and consumer trust in AI-powered automotive solutions.

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

The Global Automotive Artificial Intelligence (AI) market is witnessing a significant upward trend, fueled by surging consumer confidence in self-driving technology and a growing demand for advanced driver-assist systems. As consumers prioritize safety and convenience, automakers are responding by innovating AI-driven solutions that enhance driving experiences and reduce stress. This shift is leading to an exponential growth in demand for self-driving vehicles, with manufacturers leveraging AI capabilities to stay competitive. Factors such as rising expectations for driver comfort and improved mobility access further bolster the market, positioning AI as a transformative force in the automotive industry through 2030 and beyond.

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, 2024
• 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 (2025-2032)

• Market Overview
• Hardware
• Software

Global Automotive Artificial Intelligence (AI) Market Size by Technology & CAGR (2025-2032)

• 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 (2025-2032)

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

Global Automotive Artificial Intelligence (AI) Market Size by Type & CAGR (2025-2032)

• 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 (2025-2032)

• Market Overview
• Passenger Vehicles
• Commercial Vehicles

Global Automotive Artificial Intelligence (AI) Market Size by Level of Autonomy & CAGR (2025-2032)

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

Global Automotive Artificial Intelligence (AI) Market Size by Application & CAGR (2025-2032)

• 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 (2025-2032)

• 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, 2024
• Strategies Adopted by Key Market Players
• Recent Developments in the Market
• Company Market Share Analysis, 2024
• Company Profiles of All Key Players
  • Company Details
  • Product Portfolio Analysis
  • Company's Segmental Share Analysis
  • Revenue Y-O-Y Comparison (2022-2024)

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