| 出版社 | MarketsandMarkets |
| 出版年月 | 2025年8月 |
Automotive Artificial Intelligence (AI) Market – Global Forecast To 2030
本レポートでは、自動車向け人工知能（AI）市場を、提供内容（ハードウェア、ソフトウェア）、アーキテクチャ（フォン・ノイマン・アーキテクチャ、ニューロモーフィック・アーキテクチャ）、自律性レベル（L1、L2、L3、L4、L5）、技術（ディープラーニング、機械学習、コンピューター・ビジョン、コンテキスト・アウェア・コンピューティング、自然言語処理）、アプリケーション（自動運転（AD）/先進運転支援システム（ADAS）、インフォテインメント・システム、車両テレマティクス、その他）に基づいてセグメント化しています。また、市場の推進要因、制約要因、機会、課題についても考察しています。さらに、4つの主要地域（北米、欧州、アジア太平洋、その他の地域）における市場の詳細な分析を提供しています。さらに、主要プレーヤーのエコシステム分析も含まれています。
自動車向け人工知能（AI）市場は、2025年の188億3,000万米ドルから2030年には384億5,000万米ドルに拡大し、年平均成長率（CAGR）15.3%を記録すると予測されています。この市場は、認知、ナビゲーション、リアルタイムの意思決定にAIを多用する自動運転車の台頭によって牽引されています。業界がより高いレベルの自律性へと進むにつれ、インテリジェントシステムへの需要は高まり続けています。同時に、センサー、カメラ、コネクテッドシステムから生成される車内データの量が増加しており、安全性、効率性、パーソナライゼーションの向上を目的としたAI主導の分析の必要性が高まっています。
The automotive AI market is projected to expand from USD 18.83 billion in 2025 to USD 38.45 billion by 2030, registering a CAGR of 15.3%. The market is being propelled by the emerging trend of autonomous vehicles, which rely heavily on AI for perception, navigation, and real-time decision-making. As the industry moves toward higher levels of autonomy, the demand for intelligent systems continues to rise. Simultaneously, the growing volume of in-vehicle data generated from sensors, cameras, and connected systems is fueling the need for AI-driven analytics to enhance safety, efficiency, and personalization.
The automotive AI market is dominated by a few globally established players, such as Tesla (US), NVIDIA Corporation (US), Mobileye (Israel), Qualcomm Technologies, Inc. (US), Advanced Micro Devices, Inc. (US), Alphabet Inc. (US), Aptiv (Switzerland), Micron Technology, Inc. (US), Microsoft (US), IBM (US), Nauto (US), Aurora Operations, Inc. (US), Wayve (UK), Nuro, Inc. (US), Pony.ai (China), HELM.AI (US), Tactile Mobility (Israel), DeepRoute.ai (China), Cognata (Israel), Nullmax (US), comma ai (US), Motional, Inc. (US), Oxa Autonomy Limited (UK), Imagry Autonomous Driving Software Company (US), and Applied Intuition, Inc. (US).
automotive-artificial-intelligence-market-ecosystem
Research Coverage:
The report segments the automotive AI market based on offering (hardware, software), architecture (von neumann architecture, neuromorphic architecture), level of autonomy (L1, L2, L3, L4, L5), technology (deep learning, machine learning, computer vision, context-aware computing, natural language processing), and application (autonomous driving (AD)/advanced driver assistance systems (ADAS), infotainment systems, vehicle telematics, others). It also discusses the market’s drivers, restraints, opportunities, and challenges. It gives a detailed view of the market across four main regions (North America, Europe, Asia Pacific, and RoW). The report includes an ecosystem analysis of key players.
Key Benefits of Buying the Report:
- Analysis of key drivers (Growing adoption of ADAS technology by OEMS, Rising demand for enhanced user experience and convenience features, Emerging trend of autonomous vehicles, growing volume of in-vehicle data), restraints (Increase in overall cost of vehicles, Threat to vehicle-related cybersecurity, Inability to identify human signals), opportunities (Increasing demand for premium vehicles, Growing need for sensor fusion, High potential of in-car payments), challenges (Limited real-world testing and validation frameworks, AI model explainability and trust issues)
- Service Development/Innovation: Detailed insights on upcoming technologies, research and development activities, and new product launches in the automotive AI market
- Market Development: Comprehensive information about lucrative markets through the analysis of the automotive AI market across varied regions
- Market Diversification: Exhaustive information about new products and services, untapped geographies, recent developments, and investments in the automotive AI market
- Competitive Assessment: In-depth assessment of market shares, growth strategies, and product offerings of leading players, such as Tesla (US), NVIDIA Corporation (US), Mobileye (Israel), Qualcomm Technologies, Inc. (US), Advanced Micro Devices, Inc. (US), Alphabet Inc. (US), Aptiv (Switzerland), Micron Technology, Inc. (US), Microsoft (US), IBM (US), Nauto (US), Aurora Operations, Inc. (US), Wayve (UK), Nuro, Inc. (US), and Pony.ai (China), among others