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市场调查报告书
商品编码
1943172
车辆智慧系统市场-全球产业规模、份额、趋势、机会与预测:按道路场景理解、车辆类型、进阶驾驶辅助与监控、地区和竞争格局划分,2021-2031年Vehicle Intelligence System Market - Global Industry Size, Share, Trends Opportunity, and Forecast, Segmented By Road Scene Understanding, By Vehicle Type, By Advanced Driver Assistance & Monitoring, By Region & Competition, 2021-2031F |
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全球汽车智慧系统市场预计将从 2025 年的 98.4 亿美元成长到 2031 年的 155.6 亿美元,复合年增长率为 7.94%。
这些系统构成了一个整合技术的生态系统,包括感测器、远端资讯处理技术和自动驾驶辅助软体,旨在提升决策能力和车辆安全性。市场成长的根本驱动力并非来自短暂的审美潮流或临时的市场接受模式,而是来自政府为保障乘客安全而製定的严格法规以及消费者对预防事故措施日益增长的需求。
| 市场概览 | |
|---|---|
| 预测期 | 2027-2031 |
| 市场规模:2025年 | 98.4亿美元 |
| 市场规模:2031年 | 155.6亿美元 |
| 复合年增长率:2026-2031年 | 7.94% |
| 成长最快的细分市场 | 搭乘用车 |
| 最大的市场 | 亚太地区 |
根据英国汽车製造商和贸易业者协会 (SMMT) 的行业数据,盲点资讯系统正变得越来越普及,预计到 2024 年,54.2% 的新车将配备该系统。然而,高昂的实施成本仍然是一大障碍,因为复杂处理器和组件的整合增加了製造成本。这种经济负担可能会限製成本敏感地区的市场扩张,并阻碍入门级汽车市场采用先进的智慧功能。
各国政府严格的安全法规正成为全球车辆智慧系统市场的主要驱动力,迫使製造商采用智慧感测和决策技术来减少事故。例如,美国国家公路交通安全管理局 (NHTSA) 于 2024 年 5 月发布的「自动紧急煞车最终规则」要求,到 2029 年 9 月,所有在美国销售的新乘用车和轻型卡车都必须配备自动紧急煞车系统。预计此举每年至少可避免 24,000 起伤亡事故。此类法律措施正将车辆智慧从可选的豪华配置转变为基本的合规要求,从而确保大众市场对相关硬体和软体的持续需求。
同时,高阶驾驶辅助系统(ADAS)的普及正在重塑车辆架构和消费者的期望,汽车製造商纷纷将车道维持辅助和碰撞预警等功能作为标准配备。根据汽车创新联盟(Alliance for Automotive Innovation)发布的2024年报告,超过90%的新车都配备了这些先进系统。电气化趋势进一步推动了这项应用,因为智慧技术对于优化续航里程和电池管理至关重要。国际能源总署(IEA)预测,到2024年,电动车将占据全球市场份额的20%以上,这将为整合智慧技术的发展奠定坚实的基础。
全球汽车智慧市场扩张的一大结构性障碍是高成本。整合先进的安全系统需要昂贵的硬件,例如光达和雷达感测器,以及能够进行即时资料处理的高效能运算单元。这些复杂的组件显着增加了成本,为了维持利润率,製造商往往将全面的智慧功能限制在高阶车型上。因此,在以销售量为导向的预算型车型中,这些功能难以普及。
这种财务限製造成了明显的市场分化,尤其是在价格敏感地区。近期产业数据显示,复杂的电子设备与不断上涨的汽车价格之间存在关联。根据美国汽车协会(AAA)预测,到2024年,新车的平均年度维护成本将达到12,297美元,部分成长源自于配备高科技设备的车辆成本上升。因此,这种价格压力使得许多入门级购车者无法负担先进的车辆智慧系统,从而阻碍了市场成长。
软体定义车辆 (SDV) 架构的转型正在改变汽车的价值提案,它将硬体和软体解耦,并支援持续的功能更新。製造商正从一次性车辆销售模式转向透过空中下载 (OTA) 更新实现的持续收入模式,即使在购买之后也能解锁性能和功能。这种方法使原始设备製造商 (OEM) 能够在车辆的整个生命週期中实现互联服务的盈利。 Stellantis NV 于 2024 年 6 月发布的一份报告显示,道路联网汽车数量将增加 15%,达到 1,380 万辆,这充分展现了这一数位生态系统的扩充性。
同时,生成式人工智慧的融入正在革新车载体验,将标准资讯娱乐系统转变为主动式、个人化的助手。这些系统利用高效能运算处理自然语言和情境讯息,能够预测驾驶员的需求,而不仅仅是回应指令。这种需求需要强大的硬体来处理边缘端复杂的AI工作负载。高通截至2024年11月的财年财务表现也反映了这一需求,其汽车业务收入较上年增长68%,凸显了市场对支持这些智能应用的高级数位底盘和驾驶座平台的强劲需求。
The Global Vehicle Intelligence System Market is projected to expand from USD 9.84 Billion in 2025 to USD 15.56 Billion by 2031, reflecting a compound annual growth rate of 7.94%. These systems comprise an ecosystem of integrated technologies-such as sensors, telematics, and autonomous driving assistance software-engineered to enhance decision-making and vehicle safety. The market's trajectory is fundamentally underpinned by strict government mandates focused on passenger safety and rising consumer demand for accident prevention measures, rather than fleeting aesthetic trends or temporary adoption patterns.
| Market Overview | |
|---|---|
| Forecast Period | 2027-2031 |
| Market Size 2025 | USD 9.84 Billion |
| Market Size 2031 | USD 15.56 Billion |
| CAGR 2026-2031 | 7.94% |
| Fastest Growing Segment | Passenger Cars |
| Largest Market | Asia Pacific |
Industry data from the Society of Motor Manufacturers and Traders indicates that in 2024, 54.2 percent of new cars featured blind spot information systems, highlighting growing penetration. However, the sector faces a significant hurdle regarding the high cost of deployment, as the inclusion of complex processors and components drives up production expenses. This financial burden threatens to limit market expansion in cost-sensitive geographic regions and restrict the availability of advanced intelligence features in entry-level vehicle segments.
Market Driver
Strict government safety regulations act as a primary catalyst for the Global Vehicle Intelligence System Market, compelling manufacturers to incorporate intelligent sensing and decision-making technologies to reduce accidents. For instance, the National Highway Traffic Safety Administration's 'Final Rule on Automatic Emergency Braking' from May 2024 mandates that all new passenger cars and light trucks in the United States include automatic emergency braking systems by September 2029, a measure predicted to prevent at least 24,000 injuries annually. Such legislative actions transform vehicle intelligence from an optional luxury into a fundamental compliance requirement, ensuring sustained demand for related hardware and software across mass-market segments.
Concurrently, the proliferation of Advanced Driver Assistance Systems (ADAS) is reshaping vehicle architectures and consumer expectations, with automakers standardizing features like lane-keeping assist and collision warnings. According to a 2024 report by the Alliance for Automotive Innovation, over 90 percent of new vehicles now feature these advanced systems. This widespread adoption is further bolstered by the automotive sector's electrification, where intelligence is essential for range optimization and battery management; the International Energy Agency projects that electric cars will secure over 20 percent of the global market share in 2024, offering a parallel growth track for integrated intelligence technologies.
Market Challenge
A major structural barrier to the widespread growth of the global vehicle intelligence market is the high cost associated with deployment. Integrating sophisticated safety systems necessitates an expensive combination of hardware, such as LiDAR and radar sensors, alongside powerful computing units capable of real-time data processing. These complex components significantly raise the bill of materials, causing manufacturers to often limit comprehensive intelligence suites to premium models to maintain profit margins, thereby leaving volume-driven budget segments with restricted access to these capabilities.
This financial constraint creates a distinct market divide, particularly in regions where price sensitivity is high. Recent industry data supports the link between complex electronics and rising vehicle prices; according to AAA, the average annual cost to own and operate a new vehicle reached $12,297 in 2024, an increase partly attributed to the expense of technology-equipped vehicles. Consequently, this pricing pressure inhibits market growth by placing advanced vehicle intelligence systems beyond the financial reach of a significant demographic of entry-level buyers.
Market Trends
The shift toward Software-Defined Vehicle (SDV) architectures is transforming the automotive value proposition by separating hardware from software to facilitate continuous feature updates. Manufacturers are moving beyond one-time vehicle sales to models that generate recurring revenue via over-the-air (OTA) updates, which enhance performance and unlock capabilities after the initial purchase. This approach allows OEMs to monetize connected services throughout a vehicle's lifecycle, as evidenced by Stellantis N.V.'s June 2024 report showing a 15 percent increase in its monetizable connected car fleet to 13.8 million vehicles, illustrating the scalability of these digital ecosystems.
Simultaneously, the incorporation of Generative AI is revolutionizing in-cabin experiences by converting standard infotainment systems into proactive, personalized assistants. By leveraging high-performance computing to process natural language and context, these systems anticipate driver needs rather than simply reacting to commands, necessitating powerful hardware capable of handling complex AI workloads at the edge. This demand is reflected in Qualcomm Incorporated's November 2024 results, which reported a 68 percent year-over-year increase in automotive revenues, highlighting the robust market appetite for the advanced digital chassis and cockpit platforms needed to support these intelligent applications.
Report Scope
In this report, the Global Vehicle Intelligence System Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:
Company Profiles: Detailed analysis of the major companies present in the Global Vehicle Intelligence System Market.
Global Vehicle Intelligence System Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report: