![]() |
市场调查报告书
商品编码
1777118
汽车用XR产业(2025年)Automotive XR Industry Report, 2025 |
随着科技的进步,XR设备与AI模型的融合正在颠覆汽车产业,显着提升使用者的出行体验。具体而言,AI模型的加入使得XR设备的AI记忆功能能够利用影像辨识技术精准记录车辆停车位置,帮助使用者在复杂的停车场快速定位车辆。此外,部分XR设备还具备离线支付功能,进一步推动汽车生态系统的演进。使用者可以利用XR设备整合停车、加油等出行关键场景。未来,XR设备的应用范围将扩展到音乐/视讯订阅、汽车应用购买以及全品类线上购物,形成覆盖全出行环节的智慧服务闭环,为用户带来更智慧高效的用车体验。
XR技术整合了车辆软硬体资讯。车载硬体设备(例如雷达和视觉感测器)与软体系统(例如导航演算法、资讯娱乐系统和车载云数据)的深度融合,拓展了车辆的使用场景,包括娱乐(例如车内观看/游戏)、导航和驾驶辅助(例如导航指示、停车辅助和危险预警)以及无缝资讯流(例如智慧型手机、智慧型眼镜和智慧型汽车等多联设备之间的全场景)。
根据本报告的分析结果,虽然XR技术与汽车的融合在各个场景中展现出巨大的应用潜力,但车载XR技术仍处于起步阶段,尚未达到市场临界点。此外,该技术的推广也面临许多挑战,主要包括成熟度不足、成本高昂以及在汽车应用中需要提升用户接受度等。
儘管面临这些挑战,但各大主机厂仍在积极布局,探索突破之路。 2025年,广汽、一汽、长城、极客等企业均已公布XR相关专利。理想汽车在其2025年招聘启事中,也列出了多个与AI/VR智慧眼镜相关的职位,包括高级硬体产品经理、AI硬体产品经理等,体现了公司在团队建设和推动XR技术在汽车领域应用方面所做的巨大努力。
这显示主机厂对XR技术在汽车领域的应用充满信心,并采取实际措施加速其部署。随着技术的成熟、成本的下降以及用户对智慧移动体验需求的提升,XR技术有望成为产业转型升级的关键驱动力,为产业创造新的成长机会。
本报告深入探讨中国车载XR产业,提供XR产业炼及关键技术要素分析、核心技术及光学显示解决方案解读,以及国内外车载XR设备/软体解决方案供应商的最新产品及解决方案。
序文
定义
Automotive XR industry research: automotive XR application is still in its infancy, and some OEMs have already made forward-looking layout
The Automotive XR Industry Report, 2025, released by ResearchInChina, focuses on the automotive XR field, deconstructs the XR industry chain and key technological elements, provides a detailed interpretation of core technologies and optical display solutions, and summarizes the latest products and solutions of Chinese and foreign automotive XR device and software solution suppliers. In addition, this report offers an in-depth analysis of XR layout of OEMs and related ecosystem companies, involving OEMs' XR strategic layout, latest automotive XR products, and XR patents. Finally, it explores the status quo and trends of automotive XR development according to market dynamics.
As technology advances, the integration of XR devices and AI foundation models is bringing a disruption to the automotive sector, significantly enhancing user mobility experience. Specifically, with introduction of AI foundation models, the AI memory function of XR devices can accurately record the parking location of a vehicle using image recognition technology, helping users quickly locate their cars in complex parking lots. Additionally, some XR devices feature offline payment function, fostering the evolution of automotive ecosystems. Users can leverage XR devices to integrate essential mobility scenarios such as parking fee and refueling payments. In the future, this may extend to subscription to music/video content, purchase of vehicle apps, or full-category online shopping, forming a smart service loop that covers the entire mobility link to create more intelligent and efficient in-vehicle experiences for users.
Case 1: the AI memory function of automotive XR helps users accurately locate their vehicles.
In April 2024, the second-generation Ray-Ban Meta introduced the Meta AI foundation model. On September 26, 2024, the new version Llama 3.2 was released at the Meta Connect. It further enhances AI interaction capabilities and brings users an AI memory function that helps them remember daily details, such as parking locations, phone numbers, and shopping reminders.
With this feature, after parking, users can take a photo of the parking spot via either voice commands or the button on the right temple of the glasses. The photo is automatically stored in the glasses and, if connected to Wi-Fi, synced to the phone. Moreover Ray-Ban Meta automatically performs AI recognition on the photo, extracting information such as the parking spot number and storing it accordingly. When users need to locate their vehicle, they simply voice to inquire, and the glasses will provide the parking spot number by speech. Users can also view the photo in the Meta View app to locate the car.
Case 2: XR devices integrate payment function, expected to land in in-vehicle payment scenarios.
a.Rokid Glasses has now integrated Alipay's "AI Life Assistant" Zhi Xiao Bao, launching the innovative AR glasses payment function based on voiceprint recognition. In such scenarios as ride hailing, food ordering, or QR code scan to pay with Rokid Glasses, users only need to wake up Zhi Xiao Bao via voice command and state the amount (e.g., "Zhi Xiao Bao, pay 50 yuan"), and the system will complete identity verification through voiceprint comparison, enabling quick small-amount payments without any manual operation throughout the process.
2.On April 29, 2025, Meizu announced its official launch of the offline payment function for StarV Air2 smart glasses, and implementation of this function in Q3 this year. Users wearing StarV Air2 smart glasses only need to activate the payment function via the built-in voice assistant, utter a payment confirmation command, and voice to confirm payment details such as the amount, and they can complete the transaction effortlessly, without the need to pull out their phones or use other devices.
XR technology integrates with vehicle software and hardware information. By deeply integrating vehicle hardware devices (e.g., radar and visual sensor) and software systems (navigation algorithm, infotainment system, vehicle cloud data, etc.), it expands vehicle application scenarios, including entertainment (e.g., in-cabin viewing/gaming), navigation and driving assistance (e.g., navigation instruction, parking assist, and danger warning), and seamless information flow (e.g., all-scenario interconnection between multiple devices like smartphones, smart glasses and smart cars).
According to the analysis results of the report, although the integration of XR technology and vehicles demonstrates considerable application potential in scenarios, automotive XR technology is still in its infancy and has yet to reach a market tipping point. The advancement of the technology also faces obstacles, primarily due to challenges such as insufficient maturity, high costs, and the need to improve user acceptance in automotive applications.
Facing these challenges, OEMs work to deploy and seek the way to make breakthroughs. In 2025, GAC, FAW, Great Wall and Zeekr among others have disclosed XR-related patents; Li Auto also posted several job openings related to AI/VR smart glasses in its 2025 recruitment notices, including Senior Hardware Product Manager and AI Hardware Product Manager, which indicates its great efforts to build teams and promote application of XR technology in the automotive sector.
This shows that OEMs are highly confident in the application prospects of XR technology in the automotive field and are taking concrete actions to accelerate their deployment. As the technology matures, costs decline, and user demand for smart mobility experience grows, XR technology is expected to become a key driver of automotive industry transformation, creating new growth opportunities for the sector.
Preface
Definitions