市場調査レポート

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1722575

自動車用人工知能市場レポート：コンポーネント、技術、プロセス、用途、地域別、2025年～2033年

Automotive Artificial Intelligence Market Report by Component, Technology, Process, Application, and Region 2025-2033

出版日: 2025年05月01日
発行: IMARC
ページ情報: 英文 149 Pages
納期: 2～3営業日

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全表示
概要
図表
目次

概要

サンプル依頼リストに入れる

自動車用人工知能の世界市場規模は2024年に50億米ドルに達しました。今後、IMARC Groupは、2033年までに同市場が473億米ドルに達し、2025～2033年の成長率（CAGR）は25.3％に達すると予測しています。交通管理とルート最適化のニーズの高まりが市場成長を後押ししています。現在、北米が最大の市場シェアを占めているが、これは強力な技術インフラと先進的な自動車ソリューションの採用が急増しているためです。

自動車用人工知能（AI）とは、自動車の機能性、安全性、ユーザーエクスペリエンスを向上させるために、自動車内に技術を統合することを指します。運転支援、車載バーチャルアシスタント、予知保全、完全自律システムなど、さまざまなシステムで構成されます。自動車用AIは、アダプティブ・クルーズ・コントロール、衝突回避、ドライバー・モニタリング、音声操作、交通標識認識、自動駐車、リアルタイム交通モニタリングなどに広く利用されています。AIは、安全性の強化、効率の向上、排出ガスの削減、時間の節約、交通の流れの強化、ユーザー体験の向上、持続可能性の促進を支援します。

センサー技術とコンピューティング・パワーの急速なコスト削減は、自動車メーカーにとってAIの導入をより経済的に実行可能なものにしており、市場成長にプラスの影響を与えています。このほか、都市化の進展とそれに伴う交通渋滞の増加により、交通管理と経路最適化におけるAIの需要が高まっていることも、市場成長に寄与しています。さらに、優れた予知保全、リアルタイムの意思決定、パーソナライズされたユーザー体験を可能にするために、自動車メーカーによるAIの活用が増加していることも、市場の成長を支えています。さらに、高度なテレマティクスや遠隔車両制御など、AI統合の新たな道を提供するモノのインターネット（IoT）やV2X（Vehicle-to-Everything）通信の最近の進歩が、市場の成長を後押ししています。さらに、持続可能性を重視する傾向が強まっていることが、燃費の最適化や代替燃料システムの管理を目的としたAIの需要を促進しています。

自動車用人工知能市場動向と促進要因：

高度な機能に対する需要の高まり

高度な機能に対する消費者の需要の高まりは、自動車用人工知能（AI）市場の成長を促進する顕著な要因です。ユーザーはますますハイテクに精通するようになっており、アダプティブ・クルーズ・コントロール、自動駐車、高度なナビゲーション・システムなど、自動車の高度な機能に対する期待が高まっています。さらに、特に日常生活でテクノロジーと深く関わっている若年層が利便性を追求していることが、市場の成長に拍車をかけています。これとは別に、都市中心部での混雑の増大が、複雑な市街地走行を管理するインテリジェント機能を提供する自動車への需要を促進しています。このような消費者の期待の変化は、自動車メーカーに対して、単に付加価値としてではなく、購買決定に直接影響を与える中核的な要素として、自動車設計にAI技術を採用するよう大きな圧力をかけています。

さまざまな政府規制の賦課

政府の規制は、自動車分野におけるAIの導入を推進する上で、ますます重要な役割を果たしています。交通安全は世界中で最も重要な関心事となりつつあり、当局は自動車により厳しい安全ガイドラインと要件を課すよう促しています。こうしたガイドラインでは、衝突回避システム、車線逸脱警告、緊急ブレーキシステムなど、AI技術に大きく依存する高度な安全機能の搭載が義務付けられていることが多いです。さらに、規制の枠組みは国レベルで開発されるだけでなく、より高い安全基準を世界に推進するため、地域間の調和も進んでいます。さらに、法規制は交通安全の向上に役立つと同時に、自動車産業における技術革新の触媒として機能するなど、2つの役割を果たしています。これに加えて、規制は自動車メーカーにAI技術の研究開発（R&D）に注力するよう迫る外的な力として効果的に作用します。

著しい技術進歩

急速な技術進歩は、自動車用AI市場を推進する上で極めて重要です。これに伴い、機械学習（ML）アルゴリズムの進歩により、自動車はリアルタイムの意思決定を行えるようになり、それによって自律走行能力が飛躍的に向上しました。さらに、より高い精度と耐久性により、物体認識と距離測定アプリケーションに高度なセンサー技術を取り入れることが、市場成長にプラスの影響を与えています。さらに、予測保守、経路最適化、さらにはライダーの快適性のために、大規模なデータセットをリアルタイムで処理・解釈するデータ分析の活用が市場成長に寄与しています。これに加えて、技術の進歩はコスト削減をもたらし、より広範な車両に高度なAI機能を統合することが経済的に実行可能になっています。

北米
- 米国
- カナダ
アジア太平洋地域
- 中国
- 日本
- インド
- 韓国
- オーストラリア
- インドネシア
- その他
欧州
- ドイツ
- フランス
- 英国
- イタリア
- スペイン
- ロシア
- その他
ラテンアメリカ
- ブラジル
- メキシコ
- その他
中東・アフリカ
- 市場内訳：国別

第11章 SWOT分析

概要
強み
弱み
機会
脅威

第12章バリューチェーン分析

第13章ポーターのファイブフォース分析

概要
買い手の交渉力
供給企業の交渉力
競合の程度
新規参入業者の脅威
代替品の脅威

第14章価格分析

第15章競合情勢

市場構造
主要企業
主要企業のプロファイル
- Bayerische Motoren Werke AG
- Daimler AG
- Ford Motor Company
- Hyundai Motor Company
- Intel Corporation
- International Business Machines Corporation
- Micron Technology Inc.
- Microsoft Corporation
- NVIDIA Corporation
- Qualcomm Incorporated
- Tesla Inc.
- Toyota Motor Corporation
- Uber Technologies Inc.

図表

List of Figures

Figure 1: Global: Automotive Artificial Intelligence Market: Major Drivers and Challenges
Figure 2: Global: Automotive Artificial Intelligence Market: Sales Value (in Billion USD), 2019-2024
Figure 3: Global: Automotive Artificial Intelligence Market Forecast: Sales Value (in Billion USD), 2025-2033
Figure 4: Global: Automotive Artificial Intelligence Market: Breakup by Component (in %), 2024
Figure 5: Global: Automotive Artificial Intelligence Market: Breakup by Technology (in %), 2024
Figure 6: Global: Automotive Artificial Intelligence Market: Breakup by Process (in %), 2024
Figure 7: Global: Automotive Artificial Intelligence Market: Breakup by Application (in %), 2024
Figure 8: Global: Automotive Artificial Intelligence Market: Breakup by Region (in %), 2024
Figure 9: Global: Automotive Artificial Intelligence (Hardware) Market: Sales Value (in Million USD), 2019 & 2024
Figure 10: Global: Automotive Artificial Intelligence (Hardware) Market Forecast: Sales Value (in Million USD), 2025-2033
Figure 11: Global: Automotive Artificial Intelligence (Software) Market: Sales Value (in Million USD), 2019 & 2024
Figure 12: Global: Automotive Artificial Intelligence (Software) Market Forecast: Sales Value (in Million USD), 2025-2033
Figure 13: Global: Automotive Artificial Intelligence (Services) Market: Sales Value (in Million USD), 2019 & 2024
Figure 14: Global: Automotive Artificial Intelligence (Services) Market Forecast: Sales Value (in Million USD), 2025-2033
Figure 15: Global: Automotive Artificial Intelligence (Machine Learning and Deep Learning) Market: Sales Value (in Million USD), 2019 & 2024
Figure 16: Global: Automotive Artificial Intelligence (Machine Learning and Deep Learning) Market Forecast: Sales Value (in Million USD), 2025-2033
Figure 17: Global: Automotive Artificial Intelligence (Computer Vision) Market: Sales Value (in Million USD), 2019 & 2024
Figure 18: Global: Automotive Artificial Intelligence (Computer Vision) Market Forecast: Sales Value (in Million USD), 2025-2033
Figure 19: Global: Automotive Artificial Intelligence (Natural Language Processing) Market: Sales Value (in Million USD), 2019 & 2024
Figure 20: Global: Automotive Artificial Intelligence (Natural Language Processing) Market Forecast: Sales Value (in Million USD), 2025-2033
Figure 21: Global: Automotive Artificial Intelligence (Data Mining) Market: Sales Value (in Million USD), 2019 & 2024
Figure 22: Global: Automotive Artificial Intelligence (Data Mining) Market Forecast: Sales Value (in Million USD), 2025-2033
Figure 23: Global: Automotive Artificial Intelligence (Image Recognition) Market: Sales Value (in Million USD), 2019 & 2024
Figure 24: Global: Automotive Artificial Intelligence (Image Recognition) Market Forecast: Sales Value (in Million USD), 2025-2033
Figure 25: Global: Automotive Artificial Intelligence (Signal Recognition) Market: Sales Value (in Million USD), 2019 & 2024
Figure 26: Global: Automotive Artificial Intelligence (Signal Recognition) Market Forecast: Sales Value (in Million USD), 2025-2033
Figure 27: Global: Automotive Artificial Intelligence (Semi-Autonomous) Market: Sales Value (in Million USD), 2019 & 2024
Figure 28: Global: Automotive Artificial Intelligence (Semi-Autonomous) Market Forecast: Sales Value (in Million USD), 2025-2033
Figure 29: Global: Automotive Artificial Intelligence (Autonomous) Market: Sales Value (in Million USD), 2019 & 2024
Figure 30: Global: Automotive Artificial Intelligence (Autonomous) Market Forecast: Sales Value (in Million USD), 2025-2033
Figure 31: North America: Automotive Artificial Intelligence Market: Sales Value (in Million USD), 2019 & 2024
Figure 32: North America: Automotive Artificial Intelligence Market Forecast: Sales Value (in Million USD), 2025-2033
Figure 33: United States: Automotive Artificial Intelligence Market: Sales Value (in Million USD), 2019 & 2024
Figure 34: United States: Automotive Artificial Intelligence Market Forecast: Sales Value (in Million USD), 2025-2033
Figure 35: Canada: Automotive Artificial Intelligence Market: Sales Value (in Million USD), 2019 & 2024
Figure 36: Canada: Automotive Artificial Intelligence Market Forecast: Sales Value (in Million USD), 2025-2033
Figure 37: Asia-Pacific: Automotive Artificial Intelligence Market: Sales Value (in Million USD), 2019 & 2024
Figure 38: Asia-Pacific: Automotive Artificial Intelligence Market Forecast: Sales Value (in Million USD), 2025-2033
Figure 39: China: Automotive Artificial Intelligence Market: Sales Value (in Million USD), 2019 & 2024
Figure 40: China: Automotive Artificial Intelligence Market Forecast: Sales Value (in Million USD), 2025-2033
Figure 41: Japan: Automotive Artificial Intelligence Market: Sales Value (in Million USD), 2019 & 2024
Figure 42: Japan: Automotive Artificial Intelligence Market Forecast: Sales Value (in Million USD), 2025-2033
Figure 43: India: Automotive Artificial Intelligence Market: Sales Value (in Million USD), 2019 & 2024
Figure 44: India: Automotive Artificial Intelligence Market Forecast: Sales Value (in Million USD), 2025-2033
Figure 45: South Korea: Automotive Artificial Intelligence Market: Sales Value (in Million USD), 2019 & 2024
Figure 46: South Korea: Automotive Artificial Intelligence Market Forecast: Sales Value (in Million USD), 2025-2033
Figure 47: Australia: Automotive Artificial Intelligence Market: Sales Value (in Million USD), 2019 & 2024
Figure 48: Australia: Automotive Artificial Intelligence Market Forecast: Sales Value (in Million USD), 2025-2033
Figure 49: Indonesia: Automotive Artificial Intelligence Market: Sales Value (in Million USD), 2019 & 2024
Figure 50: Indonesia: Automotive Artificial Intelligence Market Forecast: Sales Value (in Million USD), 2025-2033
Figure 51: Others: Automotive Artificial Intelligence Market: Sales Value (in Million USD), 2019 & 2024
Figure 52: Others: Automotive Artificial Intelligence Market Forecast: Sales Value (in Million USD), 2025-2033
Figure 53: Europe: Automotive Artificial Intelligence Market: Sales Value (in Million USD), 2019 & 2024
Figure 54: Europe: Automotive Artificial Intelligence Market Forecast: Sales Value (in Million USD), 2025-2033
Figure 55: Germany: Automotive Artificial Intelligence Market: Sales Value (in Million USD), 2019 & 2024
Figure 56: Germany: Automotive Artificial Intelligence Market Forecast: Sales Value (in Million USD), 2025-2033
Figure 57: France: Automotive Artificial Intelligence Market: Sales Value (in Million USD), 2019 & 2024
Figure 58: France: Automotive Artificial Intelligence Market Forecast: Sales Value (in Million USD), 2025-2033
Figure 59: United Kingdom: Automotive Artificial Intelligence Market: Sales Value (in Million USD), 2019 & 2024
Figure 60: United Kingdom: Automotive Artificial Intelligence Market Forecast: Sales Value (in Million USD), 2025-2033
Figure 61: Italy: Automotive Artificial Intelligence Market: Sales Value (in Million USD), 2019 & 2024
Figure 62: Italy: Automotive Artificial Intelligence Market Forecast: Sales Value (in Million USD), 2025-2033
Figure 63: Spain: Automotive Artificial Intelligence Market: Sales Value (in Million USD), 2019 & 2024
Figure 64: Spain: Automotive Artificial Intelligence Market Forecast: Sales Value (in Million USD), 2025-2033
Figure 65: Russia: Automotive Artificial Intelligence Market: Sales Value (in Million USD), 2019 & 2024
Figure 66: Russia: Automotive Artificial Intelligence Market Forecast: Sales Value (in Million USD), 2025-2033
Figure 67: Others: Automotive Artificial Intelligence Market: Sales Value (in Million USD), 2019 & 2024
Figure 68: Others: Automotive Artificial Intelligence Market Forecast: Sales Value (in Million USD), 2025-2033
Figure 69: Latin America: Automotive Artificial Intelligence Market: Sales Value (in Million USD), 2019 & 2024
Figure 70: Latin America: Automotive Artificial Intelligence Market Forecast: Sales Value (in Million USD), 2025-2033
Figure 71: Brazil: Automotive Artificial Intelligence Market: Sales Value (in Million USD), 2019 & 2024
Figure 72: Brazil: Automotive Artificial Intelligence Market Forecast: Sales Value (in Million USD), 2025-2033
Figure 73: Mexico: Automotive Artificial Intelligence Market: Sales Value (in Million USD), 2019 & 2024
Figure 74: Mexico: Automotive Artificial Intelligence Market Forecast: Sales Value (in Million USD), 2025-2033
Figure 75: Others: Automotive Artificial Intelligence Market: Sales Value (in Million USD), 2019 & 2024
Figure 76: Others: Automotive Artificial Intelligence Market Forecast: Sales Value (in Million USD), 2025-2033
Figure 77: Middle East and Africa: Automotive Artificial Intelligence Market: Sales Value (in Million USD), 2019 & 2024
Figure 78: Middle East and Africa: Automotive Artificial Intelligence Market: Breakup by Country (in %), 2024
Figure 79: Middle East and Africa: Automotive Artificial Intelligence Market Forecast: Sales Value (in Million USD), 2025-2033
Figure 80: Global: Automotive Artificial Intelligence Industry: SWOT Analysis
Figure 81: Global: Automotive Artificial Intelligence Industry: Value Chain Analysis
Figure 82: Global: Automotive Artificial Intelligence Industry: Porter's Five Forces Analysis

List of Tables

Table 1: Global: Automotive Artificial Intelligence Market: Key Industry Highlights, 2024 and 2033
Table 2: Global: Automotive Artificial Intelligence Market Forecast: Breakup by Component (in Million USD), 2025-2033
Table 3: Global: Automotive Artificial Intelligence Market Forecast: Breakup by Technology (in Million USD), 2025-2033
Table 4: Global: Automotive Artificial Intelligence Market Forecast: Breakup by Process (in Million USD), 2025-2033
Table 5: Global: Automotive Artificial Intelligence Market Forecast: Breakup by Application (in Million USD), 2025-2033
Table 6: Global: Automotive Artificial Intelligence Market Forecast: Breakup by Region (in Million USD), 2025-2033
Table 7: Global: Automotive Artificial Intelligence Market: Competitive Structure
Table 8: Global: Automotive Artificial Intelligence Market: Key Players

Product Code: SR112025A5824

The global automotive artificial intelligence market size reached USD 5.0 Billion in 2024. Looking forward, IMARC Group expects the market to reach USD 47.3 Billion by 2033, exhibiting a growth rate (CAGR) of 25.3% during 2025-2033. The growing need for traffic management and route optimization is propelling the market growth. At present, North America holds the largest market share owing to strong technological infrastructure and rapid growth in the adoption of advanced automotive solutions.

Automotive artificial intelligence (AI) refers to the integration of technology within vehicles to enhance their functionalities, safety, and user experience. It comprises various systems, such as driver assistance, in-car virtual assistants, predictive maintenance, and fully autonomous systems. Automotive AI is widely used in adaptive cruise control, collision avoidance, driver monitoring, voice-activated controls, traffic sign recognition, automated parking, and real-time traffic monitoring. It aids in enhancing safety, increasing efficiency, reducing emission levels, saving time, augmenting traffic flow, improving user experience, and promoting sustainability.

The rapid cost reduction in sensor technology and computing power, which is making AI implementation more financially viable for automotive manufacturers, is positively influencing the market growth. Besides this, the growing demand for AI in traffic management and route optimization owing to the increasing urbanization and subsequent traffic congestion are contributing to the market growth. Furthermore, the rising utilization of AI by automotive manufacturers to enable superior predictive maintenance, real-time decision-making, and personalized user experiences is supporting the market growth. In addition, the recent advancements in the Internet of Things (IoT) and vehicle-to-everything (V2X) communication that are offering new avenues for AI integration, such as advanced telematics and remote vehicle control, are fueling the market growth. Moreover, the increasing emphasis on sustainability is facilitating the demand for AI to optimize fuel efficiency and manage alternative fuel systems.

Automotive Artificial Intelligence Market Trends/Drivers:

The escalating demand for advanced features

The increasing consumer demand for advanced features is a prominent factor propelling the growth of the automotive artificial intelligence (AI) market. Users are becoming increasingly tech-savvy, leading to higher expectations for advanced features in vehicles, such as adaptive cruise control, automated parking, and advanced navigation systems. Furthermore, the push for convenience, especially among younger demographics who are deeply engaged with technology in their daily lives, is fueling the market growth. Apart from this, the growing congestion in urban centers is facilitating the demand for vehicles that offer intelligent features to manage the complexities of city driving. This shift in consumer expectations puts considerable pressure on manufacturers to adopt AI technologies in automotive design, not merely as a value-add but as a core component that directly influences purchasing decisions.

The imposition of various government regulations

Government regulations are playing an increasingly critical role in driving the incorporation of AI in the automotive sector. Road safety is becoming a paramount concern across the globe, prompting authorities to impose stricter safety guidelines and requirements for vehicles. These guidelines often mandate the incorporation of advanced safety features, such as collision avoidance systems, lane-departure warnings, and emergency braking systems, which rely heavily on AI technologies. Furthermore, regulatory frameworks are not just being developed at a national level but are also increasingly harmonized across regions to promote higher safety standards globally. Moreover, the legislation serves dual purposes, as it aids in improving road safety and acts as a catalyst for technological innovation within the automotive industry. Besides this, the regulations effectively act as an external force that compels automakers to focus on research and development (R&D) in AI technologies.

The significant technological advancements

Rapid technological advancements are pivotal in propelling the automotive AI market. In line with this, the progress in machine learning (ML) algorithms has enabled vehicles to make real-time decisions, thereby drastically improving their autonomous capabilities. Furthermore, the incorporation of advanced sensor technologies in object recognition and distance measurement applications, owing to their higher accuracy and durability, is positively influencing the market growth. Moreover, the utilization of data analytics to process and interpret large data sets in real-time for predictive maintenance, route optimization, and even rider comfort is contributing to the market growth. Besides this, technological advancements have resulted in cost reduction, making it more economically viable to integrate advanced AI features into a broader range of vehicles.

Automotive Artificial Intelligence Industry Segmentation:

Breakup by Component:

Hardware
Software
Services

Hardware dominates the market

Hardware is dominating the market as the foundational capabilities for AI in vehicles stem from advanced hardware components, such as sensors, cameras, light detection and ranging (LiDAR), and central processing units (CPUs). These elements are essential for the collection and initial processing of real-time data, which is then used by AI algorithms for decision-making. Furthermore, the ever-increasing complexity and capabilities of AI algorithms, which require more robust and specialized hardware for optimal performance, are positively influencing the market growth. Additionally, the hardware serves as the backbone that enables the functionalities of various AI-based technologies, such as machine vision, spatial awareness, and real-time analytics. Moreover, compared to software, which can often be updated remotely to add new features, hardware requires a physical change in the component, making it a more stable but also critical investment.

Breakup by Technology:

Machine Learning and Deep Learning
Computer Vision
Natural Language Processing

Machine learning (ML) and deep learning are dominating the market due to their capability to facilitate real-time decision-making and predictive analysis, which are essential in modern vehicular applications. Furthermore, they can process vast quantities of data and learn from it, enabling features, such as adaptive cruise control, collision avoidance, and predictive maintenance. In addition, they can operate in sync with sensor technologies, such as LiDAR, radio detecting and ranging (RADAR), and cameras, thereby providing a comprehensive and integrated approach to vehicle automation.

Computer vision is witnessing significant growth due to its indispensable role in enabling real-time perception and decision-making capabilities, which is essential for various critical applications in automotive AI, including object detection, lane departure warning, and collision avoidance systems. Furthermore, the escalating adoption of computer vision to meet regulatory requirements regarding the safety of vehicles and pedestrians is favoring the market growth. Additionally, computer vision offers seamless integration with sensor fusion technologies, which combine data from different sensors like radars and LiDAR, to offer a more comprehensive understanding of the vehicle's surroundings.

Breakup by Process:

Data Mining
Image Recognition
Signal Recognition

Data mining hold the largest share in the market

Data mining is dominating the market due to its critical role in extracting valuable insights from vast amounts of data generated by modern vehicles. These insights serve as the foundation for many AI-based features, such as predictive maintenance and real-time decision-making. Furthermore, data mining techniques help to identify vehicle performance data, driver behavior, environmental conditions, and patterns and correlations that can be translated into actionable insights or improvements in AI algorithms. Besides this, it can analyze both structured and unstructured data, offering a comprehensive understanding of vehicle operations and user experiences. Moreover, data mining enables predictive analytics, which is one of the most promising applications in automotive AI. In addition, it is also essential for optimizing routing algorithms, improving fuel efficiency, and minimizing emissions, which are key objectives for modern vehicles.

Breakup by Application:

Semi-Autonomous
Autonomous

Semi-autonomous hold the largest share in the market

The semi-autonomous is dominating the market as it offers enhanced safety features, such as lane departure warnings, adaptive cruise control, and emergency braking, that are easier to integrate into vehicles and have gained regulatory approval in many jurisdictions. Furthermore, several consumers are still skeptical about relinquishing full control to a machine. In line with this, semi-autonomous features allow drivers to experience the benefits of AI while retaining control over the vehicle. Moreover, semi-autonomous features can be integrated into vehicles at a fraction of the cost, making them more economically viable for both manufacturers and consumers. Additionally, the rapid rate of technological advancements in AI and machine learning (ML) algorithms, which allow for continuous upgrades in semi-autonomous systems, is supporting the market growth.

Breakup by Region:

North America
United States
Canada
Asia-Pacific
China
Japan
India
South Korea
Australia
Indonesia
Others
Europe
Germany
France
United Kingdom
Italy
Spain
Russia
Others
Latin America
Brazil
Mexico
Others
Middle East and Africa

North America exhibits a clear dominance, accounting for the largest automotive artificial intelligence market share

The market research report has also provided a comprehensive analysis of all the major regional markets, which include North America (the United States and Canada); Asia Pacific (China, Japan, India, South Korea, Australia, Indonesia, and others); Europe (Germany, France, the United Kingdom, Italy, Spain, Russia, and others); Latin America (Brazil, Mexico, and others); and the Middle East and Africa. According to the report, North America accounted for the largest market share.

North America hosts a large number of technology companies that are at the forefront of AI and automotive innovation. In addition, regional consumers are known for their early adoption of new technologies due to high average income levels. Furthermore, the imposition of various regulations by the regional governments that are conducive to the development and integration of AI technologies in the automotive sector is positively influencing the market growth. Besides this, the region is witnessing high levels of investment in research and innovation activities from government bodies and private organizations to accelerate the pace of innovation and implementation of AI features in vehicles. Moreover, the presence of world-class universities and research institutions in North America, which contributes to a highly skilled workforce that is adept at advanced technologies, including AI, is boosting the market growth.

Competitive Landscape:

Leading companies are developing more sophisticated AI algorithms to enhance autonomous driving capabilities and optimize vehicle operations. Furthermore, they are collaborating with other industry stakeholders to bring together expertise in hardware and software, creating synergies that drive the rapid development of automotive AI technologies. Besides this, top players are extensively utilizing data analytics to improve their products and refine their AI algorithms. Moreover, key players are engaging with consumers to understand what features are most desired and aim to incorporate these in their offerings. They are also adapting their technologies for different markets and driving conditions around the world, which assists them in addressing a broad spectrum of consumer needs and regulatory requirements. Moreover, companies are aligning their AI technologies with sustainability goals, developing solutions that contribute to fuel efficiency and reduced carbon emissions.

The report has provided a comprehensive analysis of the competitive landscape in the market. Detailed profiles of all major companies have also been provided. Some of the key players in the market include:

Bayerische Motoren Werke AG
Daimler AG
Ford Motor Company
Hyundai Motor Company
Intel Corporation
International Business Machines Corporation
Micron Technology Inc.
Microsoft Corporation
NVIDIA Corporation
Qualcomm Incorporated
Tesla Inc.
Toyota Motor Corporation
Uber Technologies Inc.

Recent Developments:

In March 2023, Daimler AG announced that it had signed an agreement to acquire Algolux, an AI company known for its expertise in machine learning (ML) and computer vision.

In March 2023, Ford Motor Company established Latitude AI, a subsidiary, to develop new automated driving technologies.

In August 2023, Hyundai Motor Company and Kia announced an investment of US$ 50 million in a Canadian AI semiconductor company to integrate AI into their future vehicle models.

Key Questions Answered in This Report

1.How big is the automotive artificial intelligence market?
2.What is the automotive artificial intelligence market growth?
3.What are the key factors driving the global automotive artificial intelligence market?
4.What has been the impact of COVID-19 on the global automotive artificial intelligence market?
5.What is the breakup of the global automotive artificial intelligence market based on the component?
6.What is the breakup of the global automotive artificial intelligence market based on the process?
7.What is the breakup of the global automotive artificial intelligence market based on the application?
8.What are the key regions in the global automotive artificial intelligence market?
9.Which are the major companies in the automotive artificial intelligence market?

1 Preface

2 Scope and Methodology

2.1 Objectives of the Study
2.2 Stakeholders
2.3 Data Sources
- 2.3.1 Primary Sources
- 2.3.2 Secondary Sources
2.4 Market Estimation
- 2.4.1 Bottom-Up Approach
- 2.4.2 Top-Down Approach
2.5 Forecasting Methodology

3 Executive Summary

4 Introduction

4.1 Overview
4.2 Key Industry Trends

5 Global Automotive Artificial Intelligence Market

5.1 Market Overview
5.2 Market Performance
5.3 Impact of COVID-19
5.4 Market Forecast

6 Market Breakup by Component

6.1 Hardware
- 6.1.1 Market Trends
- 6.1.2 Market Forecast
6.2 Software
- 6.2.1 Market Trends
- 6.2.2 Market Forecast
6.3 Services
- 6.3.1 Market Trends
- 6.3.2 Market Forecast

7 Market Breakup by Technology

7.1 Machine Learning and Deep Learning
- 7.1.1 Market Trends
- 7.1.2 Market Forecast
7.2 Computer Vision
- 7.2.1 Market Trends
- 7.2.2 Market Forecast
7.3 Natural Language Processing
- 7.3.1 Market Trends
- 7.3.2 Market Forecast

8 Market Breakup by Process

8.1 Data Mining
- 8.1.1 Market Trends
- 8.1.2 Market Forecast
8.2 Image Recognition
- 8.2.1 Market Trends
- 8.2.2 Market Forecast
8.3 Signal Recognition
- 8.3.1 Market Trends
- 8.3.2 Market Forecast

9 Market Breakup by Application

9.1 Semi-Autonomous
- 9.1.1 Market Trends
- 9.1.2 Market Forecast
9.2 Autonomous
- 9.2.1 Market Trends
- 9.2.2 Market Forecast

10 Market Breakup by Region

10.1 North America
- 10.1.1 United States
  - 10.1.1.1 Market Trends
  - 10.1.1.2 Market Forecast
- 10.1.2 Canada
  - 10.1.2.1 Market Trends
  - 10.1.2.2 Market Forecast
10.2 Asia-Pacific
- 10.2.1 China
  - 10.2.1.1 Market Trends
  - 10.2.1.2 Market Forecast
- 10.2.2 Japan
  - 10.2.2.1 Market Trends
  - 10.2.2.2 Market Forecast
- 10.2.3 India
  - 10.2.3.1 Market Trends
  - 10.2.3.2 Market Forecast
- 10.2.4 South Korea
  - 10.2.4.1 Market Trends
  - 10.2.4.2 Market Forecast
- 10.2.5 Australia
  - 10.2.5.1 Market Trends
  - 10.2.5.2 Market Forecast
- 10.2.6 Indonesia
  - 10.2.6.1 Market Trends
  - 10.2.6.2 Market Forecast
- 10.2.7 Others
  - 10.2.7.1 Market Trends
  - 10.2.7.2 Market Forecast
10.3 Europe
- 10.3.1 Germany
  - 10.3.1.1 Market Trends
  - 10.3.1.2 Market Forecast
- 10.3.2 France
  - 10.3.2.1 Market Trends
  - 10.3.2.2 Market Forecast
- 10.3.3 United Kingdom
  - 10.3.3.1 Market Trends
  - 10.3.3.2 Market Forecast
- 10.3.4 Italy
  - 10.3.4.1 Market Trends
  - 10.3.4.2 Market Forecast
- 10.3.5 Spain
  - 10.3.5.1 Market Trends
  - 10.3.5.2 Market Forecast
- 10.3.6 Russia
  - 10.3.6.1 Market Trends
  - 10.3.6.2 Market Forecast
- 10.3.7 Others
  - 10.3.7.1 Market Trends
  - 10.3.7.2 Market Forecast
10.4 Latin America
- 10.4.1 Brazil
  - 10.4.1.1 Market Trends
  - 10.4.1.2 Market Forecast
- 10.4.2 Mexico
  - 10.4.2.1 Market Trends
  - 10.4.2.2 Market Forecast
- 10.4.3 Others
  - 10.4.3.1 Market Trends
  - 10.4.3.2 Market Forecast
10.5 Middle East and Africa
- 10.5.1 Market Trends
- 10.5.2 Market Breakup by Country
- 10.5.3 Market Forecast

11 SWOT Analysis

11.1 Overview
11.2 Strengths
11.3 Weaknesses
11.4 Opportunities
11.5 Threats

12 Value Chain Analysis

13 Porters Five Forces Analysis

13.1 Overview
13.2 Bargaining Power of Buyers
13.3 Bargaining Power of Suppliers
13.4 Degree of Competition
13.5 Threat of New Entrants
13.6 Threat of Substitutes

14 Price Analysis

15 Competitive Landscape

15.1 Market Structure
15.2 Key Players
15.3 Profiles of Key Players
- 15.3.1 Bayerische Motoren Werke AG
  - 15.3.1.1 Company Overview
  - 15.3.1.2 Product Portfolio
  - 15.3.1.3 Financials
  - 15.3.1.4 SWOT Analysis
- 15.3.2 Daimler AG
  - 15.3.2.1 Company Overview
  - 15.3.2.2 Product Portfolio
  - 15.3.2.3 Financials
  - 15.3.2.4 SWOT Analysis
- 15.3.3 Ford Motor Company
  - 15.3.3.1 Company Overview
  - 15.3.3.2 Product Portfolio
  - 15.3.3.3 Financials
  - 15.3.3.4 SWOT Analysis
- 15.3.4 Hyundai Motor Company
  - 15.3.4.1 Company Overview
  - 15.3.4.2 Product Portfolio
  - 15.3.4.3 Financials
  - 15.3.4.4 SWOT Analysis
- 15.3.5 Intel Corporation
  - 15.3.5.1 Company Overview
  - 15.3.5.2 Product Portfolio
  - 15.3.5.3 Financials
  - 15.3.5.4 SWOT Analysis
- 15.3.6 International Business Machines Corporation
  - 15.3.6.1 Company Overview
  - 15.3.6.2 Product Portfolio
  - 15.3.6.3 Financials
  - 15.3.6.4 SWOT Analysis
- 15.3.7 Micron Technology Inc.
  - 15.3.7.1 Company Overview
  - 15.3.7.2 Product Portfolio
  - 15.3.7.3 Financials
  - 15.3.7.4 SWOT Analysis
- 15.3.8 Microsoft Corporation
  - 15.3.8.1 Company Overview
  - 15.3.8.2 Product Portfolio
  - 15.3.8.3 Financials
  - 15.3.8.4 SWOT Analysis
- 15.5.0 NVIDIA Corporation
  - 15.5.0.1 Company Overview
  - 15.5.0.2 Product Portfolio
  - 15.5.0.3 Financials
  - 15.5.0.4 SWOT Analysis
- 15.3.10 Qualcomm Incorporated
  - 15.3.10.1 Company Overview
  - 15.3.10.2 Product Portfolio
  - 15.3.10.3 Financials
  - 15.3.10.4 SWOT Analysis
- 15.3.11 Tesla Inc.
  - 15.3.11.1 Company Overview
  - 15.3.11.2 Product Portfolio
  - 15.3.11.3 Financials
  - 15.3.11.4 SWOT Analysis
- 15.3.12 Toyota Motor Corporation
  - 15.3.12.1 Company Overview
  - 15.3.12.2 Product Portfolio
  - 15.3.12.3 Financials
  - 15.3.12.4 SWOT Analysis
- 15.3.13 Uber Technologies Inc.
  - 15.3.13.1 Company Overview
  - 15.3.13.2 Product Portfolio
  - 15.3.13.3 Financials
  - 15.3.13.4 SWOT Analysis

自動車用人工知能市場レポート：コンポーネント、技術、プロセス、用途、地域別、2025年～2033年

Automotive Artificial Intelligence Market Report by Component, Technology, Process, Application, and Region 2025-2033

自動車用人工知能市場動向と促進要因：

目次

第1章 序文

第2章 調査範囲と調査手法

第3章 エグゼクティブサマリー

第4章 イントロダクション

第5章 世界の自動車用人工知能市場

第6章 市場内訳：コンポーネント別

第7章 市場内訳：技術別

第8章 市場内訳：プロセス別

第9章 市場内訳：用途別

第10章 市場内訳：地域別

第11章 SWOT分析

第12章 バリューチェーン分析

第13章 ポーターのファイブフォース分析

第14章 価格分析

第15章 競合情勢