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市场调查报告书
商品编码
1822585
汽车市场中的生成式人工智慧机会、成长动力、产业趋势分析及 2025 - 2034 年预测Generative AI in Automotive Market Opportunity, Growth Drivers, Industry Trend Analysis, and Forecast 2025 - 2034 |
2024 年全球汽车生成人工智慧市场价值为 5.066 亿美元,预计到 2034 年将以 23.8% 的复合年增长率增长至 45.8 亿美元。
随着汽车製造商越来越多地整合生成式人工智慧来简化自动驾驶系统、优化设计工作流程并模拟关键驾驶场景,汽车产业正在经历快速转型。监管部门的鼓励和资金支持正在推动汽车製造商、零件供应商和出行技术创新者的研发。随着数位化进程的深入以及汽车智慧化和互联化程度的提高,生成式人工智慧正成为汽车开发的核心。它使汽车製造商能够复製罕见或复杂的交通事件,从而大幅缩短安全验证所需的时间和成本。这种先进的功能正在树立模拟精度的新标准,并有助于缩短开发週期。汽车製造商目前正在利用生成式人工智慧来增强使用者介面、预测维护需求并微调进阶驾驶辅助系统。随着汽车产业向软体定义汽车和连网平台转型,人工智慧不再只是一种增强功能,而是下一代出行生态系统的核心推动力。软体公司和硬体开发商之间的合作正在建立基础设施,以支援人工智慧在汽车环境中的无缝整合。
市场范围 | |
---|---|
起始年份 | 2024 |
预测年份 | 2025-2034 |
起始值 | 5.066亿美元 |
预测值 | 45.8亿美元 |
复合年增长率 | 23.8% |
2024年,乘用车市场占了68%的市场份额,这得益于智慧系统在车辆领域的广泛应用。人工智慧技术如今已深深融入高级资讯娱乐、驾驶支援功能和车载安全系统等功能中。这些工具透过对话介面改善互动体验,提供个人化洞察,并支援即时自适应回应,显着提升了驾驶体验。汽车製造商正专注于开发能够增强安全性和功能性的人工智慧工具,例如主动服务通知和情境感知驾驶建议等功能。随着感测器技术和远端软体更新的不断改进,生成式人工智慧在该领域的应用预计将稳步增长。
预计2025年至2034年,内燃机 (ICE) 汽车市场的复合年增长率将达到14.8%。虽然电动车平台通常处于技术应用的前沿,但内燃机汽车也在整合人工智慧驱动的系统以保持竞争力。汽车製造商正在升级现有的内燃机车型,为其配备智慧模组,以支援更强大的诊断功能、无缝互联和沈浸式数位体验。这项变革的驱动力来自于高阶内燃机汽车对智慧功能日益增长的需求,如今,透过无线更新和可扩展平台技术,这些汽车更容易实现基于人工智慧系统的改装。增强型车载软体使传统车型无需进行大规模硬体重新设计即可受益于先进的预测功能。
2024年,美国汽车生成式人工智慧市场产值达1.488亿美元。凭藉强大的创新格局、雄厚的研发实力以及与学术机构、技术供应商和政府机构的通力合作,美国将继续保持领先地位。生成式人工智慧在车辆系统及其支援的数位基础设施中的整合正在迅速推进。这些因素使美国成为生成式人工智慧解决方案开发和应用的主要枢纽,尤其是在增强即时驾驶智慧、简化车辆设计流程和促进智慧出行解决方案方面。
积极塑造全球汽车生成人工智慧市场的关键参与者包括 NVIDIA、亚马逊网路服务 (AWS)、博世、微软、高通、Aptiv、IBM、大陆集团、英特尔和Google。为了在汽车生成人工智慧市场保持竞争优势,主要参与者正专注于策略联盟、技术创新和平台开发。各公司正在与汽车製造商和一级供应商建立长期合作伙伴关係,以确保跨车辆系统的无缝人工智慧整合。对先进模拟工具、即时资料处理和边缘人工智慧运算的投资是其成长方式的核心。主要公司还透过 SDK 和 API 扩展其软体生态系统,使开发人员能够更快地建立人工智慧应用程式。
The Global Generative AI in Automotive Market was valued at USD 506.6 million in 2024 and is estimated to grow at a CAGR of 23.8% to reach USD 4.58 billion by 2034.
The industry is witnessing rapid transformation as automotive manufacturers increasingly integrate generative artificial intelligence to streamline autonomous systems, optimize design workflows, and simulate critical driving scenarios. Regulatory encouragement and supportive funding are fueling development across automakers, component suppliers, and mobility tech innovators. As digitalization deepens and vehicles become more intelligent and interconnected, generative AI is becoming central to vehicle development. It enables automakers to replicate rare or complex traffic events, drastically cutting the time and costs associated with safety verification. This advanced capability is creating new standards in simulation accuracy and contributing to faster development timelines. Automakers are now leveraging generative AI to enhance user interfaces, predict maintenance requirements, and fine-tune advanced driving assistance systems. As the automotive industry transitions to software-defined vehicles and connected platforms, AI is no longer an enhancement but a core enabler of next-gen mobility ecosystems. Collaborations between software firms and hardware developers are creating foundational infrastructure that supports seamless integration of AI across automotive environments.
Market Scope | |
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Start Year | 2024 |
Forecast Year | 2025-2034 |
Start Value | $506.6 Million |
Forecast Value | $4.58 Billion |
CAGR | 23.8% |
In 2024, the passenger vehicle segment generated a 68% share driven by the widespread implementation of intelligent systems across vehicles. AI-enabled technologies are now deeply embedded in functions such as advanced infotainment, driver support features, and in-car safety systems. These tools are significantly elevating the driving experience by improving interaction through conversational interfaces, delivering personalized insights, and powering adaptive responses in real time. Automakers are focusing on AI tools that enhance safety and functionality, with features like proactive service notifications and context-aware driving suggestions. With ongoing enhancements in sensor technology and remote software updates, the application of generative AI in this segment is expected to rise steadily.
The internal combustion engine (ICE) vehicle segment is expected to grow at a CAGR of 14.8% from 2025 to 2034. While electric vehicle platforms are often at the forefront of technological adoption, ICE-powered cars are also integrating AI-driven systems to stay competitive. Automakers are upgrading existing ICE models with intelligent modules that support improved diagnostics, seamless connectivity, and immersive digital experiences. This evolution is being driven by the rising demand for smart functionality in premium ICE vehicles, where retrofitting with AI-based systems is now more accessible through over-the-air updates and scalable platform technologies. Enhanced onboard software allows traditional vehicle categories to benefit from advanced predictive capabilities without requiring major hardware redesigns.
United States Generative AI in Automotive Market generated USD 148.8 million in 2024. The US continues to hold a leadership position due to its strong innovation landscape, vast R&D capabilities, and collaborative efforts spanning academic institutions, technology providers, and government agencies. The integration of generative AI is advancing rapidly across both vehicle systems and the digital infrastructure supporting them. These factors position the US as a primary hub for the development and adoption of generative AI solutions, particularly in enhancing real-time driving intelligence, streamlining vehicle design processes, and facilitating smart mobility solutions.
Key players actively shaping Global Generative AI in Automotive Market include NVIDIA, Amazon Web Services (AWS), Bosch, Microsoft, Qualcomm, Aptiv, IBM, Continental, Intel, and Google. To maintain a competitive edge in the generative AI in automotive market, major players are focusing on strategic alliances, technological innovation, and platform development. Companies are forming long-term partnerships with automakers and tier-one suppliers to ensure seamless AI integration across vehicle systems. Investment in advanced simulation tools, real-time data processing, and edge AI computing is central to their growth approach. Key firms are also expanding their software ecosystems through SDKs and APIs, allowing developers to build AI-powered applications faster.