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市场调查报告书
商品编码
1457881

OEM 新一代车载资讯娱乐 (IVI) 系统的趋势 (2024)

OEMs' Next-generation In-vehicle Infotainment (IVI) System Trends Report, 2024
出版日期: | 出版商: ResearchInChina | 英文 300 Pages | 商品交期: 最快1-2个工作天内

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简介目录

2023年，我国乘用车将配备IVI系统1664.1万辆，较上年增长27.0%，安装率达79.1%，提升13.2个百分点。随着安装量的增加，产业发生了量的变化，正在呈现质的飞跃。随着IVI系统的发展，如何准确捕捉个别使用者的需求与偏好，打造特殊的座舱体验，实现个人化将成为振兴产业必须突破的瓶颈。

1. IVI与智慧型手机整合升级，带来更创新的座舱个人化体验。

手机与人们的生活和工作关係最为密切，收集并记录了大量的用户行为数据，拥有丰富的生态资源，并且已经个性化。透过将IVI与智慧型手机集成，汽车製造商将把用户习惯和生态系统从手机转移到汽车上，将智慧和个人化服务延伸到汽车领域。

IVI与智慧型手机的融合经历了三个阶段。

第一阶段，汽车製造商将使用数据线或蓝牙，让IVI透过CarPlay、CarLife等手机镜像模式单方面检索智慧型手机应用程序，从而将电话、音乐、地图等应用程式传输到IVI上显示。

第二阶段，进入车联网时代后，各大主机厂将推出自己的手机APP，提供远端车辆控制、远端车辆检查、车主社群互动等多种功能，并将车辆与智慧型手机进一步连接。互联体验。

第三阶段，随着汽车互联的进一步发展，一些汽车厂商开始探索手机与IVI底层作业系统的深度融合。基于统一作业系统，IVI与手机紧密结合，共享运算能力、储存和频宽资源，无缝资料连接， "场景资料与使用者同流" 、硬体共享等，实现了IVI的功能。

在这种将IVI与智慧型手机整合的新方式中，手机应用生态系统将成为IVI生态系统的一个很好的补充，帮助汽车製造商避免建造座舱生态系统的成本过度增加。高阶手机晶片的高效能也满足了汽车厂商对下一代座舱运算能力日益提高的要求。

目前，已有不少公司将IVI与智慧型手机整合技术应用到实车上。例如AITO与Huawei手机的整合、Lynk & Co 08与Meizu 20的整合、NIO与NIO手机的整合、下一代Xiaomi SU7与Xiaomi手机的集成，这些都与IVI和这显示了整合技术的实际应用结果。Polestar China与Xingji Meizu也宣布，将共同开发Polestar OS并推出Polestar手机。

案例一：Xingji Meizu基于座舱系统 "Flyme auto" ，整合IVI生态系统和智慧型手机生态系统。

2023年3月，Xingji Meizu推出全新的 "手机境界" 概念，推出首款 "Auto phone" Meizu 20 Flagship及智慧座舱系统Flyme Auto。Meizu Flyme Auto透过手机作业系统Flyme 10和IVI以及智慧型手机整合系统Flyme Link，实现手机和汽车之间的生态同步、硬体共享和OTA。

本报告对中国车载资讯娱乐（IVI）系统进行了调查，涵盖了主要汽车製造商的IVI系统迭代过程、下一代IVI系统的特点以及汽车生态系统、应用商店和人机介面（HMI）。地分析了场景模式等方面的趋势。

目录

第一章 车载资讯娱乐（IVI）系统概述

  • 中国IVI系统数量及安装率
  • 配备自主品牌IVI系统
  • 配备新兴品牌IVI系统
  • 配备合资品牌IVI系统

第二章 OEM下一代IVI系统

  • IVI系统发展趋势
  • BYD
  • Geely
  • Changan Automobile
  • Great Wall Motor
  • GAC
  • FAW
  • Chery
  • SAIC
  • Dongfeng Motor
  • BAIC
  • Volkswagen
  • BMW
  • Mercedes-Benz
  • Tesla
  • Audi
  • NIO
  • Xpeng
  • Li Auto
  • Neta
  • Leapmotor
  • AITO
  • Xiaomi

第三章 汽车生态内容：社会化趋势

第四章 汽车生态系内容：定位与导航趋势

第4章汽车生态系内容：音讯/视讯趋势

第六章 汽车生态系内容：博弈趋势

第七章 汽车应用商店趋势

第8章 汽车HMI趋势

第九章 汽车场景模式趋势

第10章其他趋势

简介目录
Product Code: LYX006

OEMs' Next-generation In-vehicle Infotainment (IVI) System Trends Report, 2024 released by ResearchInChina systematically analyzes the iteration process of IVI systems of mainstream automakers in China, the features of next-generation IVI systems, and the trends of vehicle ecosystems, App stores, human-machine interface (HMI), scene modes and more.

In 2023, 16.641 million passenger cars in China were installed with IVI systems, jumping by 27.0% year on year, with the installation rate up to 79.1%, up 13.2 percentage points. As the installations increases, the industry takes a qualitative leap forwards after quantitative changes. Amid the development of IVI systems, how to accurately meet users' individual needs and preferences, create exclusive cockpit experiences and realize personalization has been the bottleneck needing to be broken to boost the industry.

1. IVI-smartphone integration upgrade brings more innovative cockpit personalized experience.

Mobile phones, which are most closely related to people's lives and work, collect and record massive behavioral data of users, and boast rich ecological resources, having already been personalized. Automakers move user habits and ecosystems from mobile phones to cars by way of IVI-smartphone integration, and extend intelligent and personalized services to the automotive field.

IVI-smartphone integration passes three phases:

In the first phase, automakers use a data cable or Bluetooth to enable IVI to one-way obtain smartphone Apps through phone mirroring modes such as CarPlay and CarLife, and project phone calls, music, maps and other applications to the IVI interface.

In the second phase, after entering the era of connected vehicles major OEMs have launched their own mobile phone Apps and has provided diverse functions such as remote vehicle control, remote vehicle check and car owner community interaction, further enhancing the vehicle-smartphone interconnect experience.

In the third phase, with the in-depth development of automotive connectivity, some automakers have begun to explore the deep integration between mobile phones and the underlying operating system of IVI. Based on a unified operating system, IVI and mobile phones are closely integrated to share computing power, storage and bandwidth resources and enable such functions as seamless data connection, "scenario data flow with users" and hardware sharing, thus greatly improving the intelligence level of vehicles and user experience.

In this new mode of IVI-smartphone integration, the phone App ecosystem provides a big supplement to the IVI ecosystem, and effectively helps automakers control the excessive growth in the cockpit ecosystem construction cost. Also the high performance of high-end mobile phone chips meets automakers' increasing requirements for the computing power of next-generation cockpits.

So far, quite a few companies have applied IVI-smartphone integration technology to actual models. Examples include the integration between AITO and Huawei mobile phones, between Lynk & Co 08 and Meizu 20, between NIO and NIO Phone, and between the upcoming Xiaomi SU7 and Xiaomi mobile phones, all of which show the practical application results of IVI-smartphone integration technology. In addition, Polestar China and Xingji Meizu announced that they will jointly develop Polestar OS and launch Polestar mobile phones.

Case 1: Based on the cockpit system "Flyme auto", Xingji Meizu has integrated the IVI ecosystem with the smartphone ecosystem.

In March 2023, Xingji Meizu put forward a brand-new concept of "mobile phone domain" and released the first "Auto phone" Meizu 20 Flagship and the intelligent cockpit system Flyme Auto. The mobile phone operating system Flyme 10 and the IVI-smartphone integration system Flyme Link allow Meizu Flyme Auto to enable ecosystem synchronization, hardware sharing and OTA between mobile phones and cars.

Flyme Auto cockpit system features small window mode, unconscious connection, unbounded desktop, what you see is what you can say across terminals, hardware sharing, smartphone-assisted OTA, application relay, gesture interaction, etc.

Unbounded desktop: When the user enters the car with a Meizu phone, the phone will automatically synchronize the App being used to the IVI, so that IVI and phone interfaces stay the same.

Hardware sharing: Mobile phones and IVI can share video hardware such as cameras and microphones. For example, when holding a video conference, the user can call the camera and microphone in the car with one click, and can also share the traffic between the phone and IVI.

Phone-assisted OTA: Users can download the upgrade firmware of the IVI to their mobile phones first. The next time they get in the car, the Flyme Link can directly push the firmware to the IVI for update.

Case 2: NIO released "NIO Link" technology to realize seamless smartphone-IVI integration.

In September 2023, NIO officially released NIO Phone. NIO Link, NIO's all-scenario interconnect technology is used for smartphone-car integration. This technology can offer the following functions:

Vehicle control: The vehicle control key of NIO Link is installed on the left side of NIO Phone, with 30 IVI-phone integration functions, including remote vehicle control (vehicle unlock/lock, window lowering/lifting, remote air conditioning adjustment, etc.), near-field vehicle control (within the range close to the car, functions like unlock and summon can be enabled even without a signal), and in-vehicle control (automatically recognize the seat where the user is located to control functions, e.g., seat, air conditioning and sunroof).

Seamless flow: NIO Phone's navigation clipboard relay can synchronize navigation information with one click, and allows for safe synchronization of the text copied and the recognized location information extracted on the mobile phone to the IVI. In addition, users can view the photo albums on their mobile phones in real time.

Hardware sharing: In the conference scenario, the mobile conference can be automatically synchronized to the IVI after the user gets on the car. In the game scenario, NIO Phone can be used as a gamepad to play games on the center console screen, and to call the in-cabin audio system.

2. Generative AI helps automakers create proactive, anthropomorphic and natural cockpit services.

Supported by machine learning models and deep learning technology, generative AI deeply analyzes the potential modes in historical data, thus independently creating new contents. In recent years, many automakers have introduced AI foundation models into their vehicles. Based on AI technology, they accurately grasp users' driving habits, preferences and needs, forge personalized cockpit experiences for users, and enable intelligent music recommendation, navigation, vehicle performance settings and other functions. In addition, they use driving learning modes to predict and actively meet user needs to ensure driving safety and comfort.

Case 1: Galaxy E8 launched "AI Rhythm", a function which can accurately recognize the keywords in song titles/lyrics and automatically generate pictures.

"AI Rhythm" launched with Galaxy E8 uses AI technology to generate pictures automatically and accurately according to the keywords in song titles and lyrics, and skillfully integrate dynamic effects into them, bringing users immersive music experience. Noticeably this function not only supports the recognition of Chinese songs, but also can easily deal with English songs, showing great cross-language processing capabilities.

Case 2: Based on Mind GPT, Li Auto introduced intelligent navigation, mobility assistant and other functions.

Li Auto built the base model of Mind GPT. At the core of the model is the self-developed TaskFormer neural network architecture. Based on multiple practical scenarios such as driving, entertainment and mobility, Li Auto uses advanced technologies such as SFT and RLHF for fine training, equipping Mind GPT with capabilities of understanding, generation, knowledge memory and reasoning.

Intelligent navigation: Mind GPT can provide accurate navigation services according to the driver's voice instructions and map data. Moreover it can also plan the optimal route for the driver according to real-time road conditions and traffic information.

Mobility assistant: Mind GPT inspires users to travel, plans itineraries, and searches for good places to eat, drink and have fun in the newly added Meituan App. The recommended places and routes can be called directly in the navigation. On the trip, Lixiang Tongxue can also introduce the historical and cultural stories of scenic spots along the way to users.

Case 3: Mercedes-Benz's new MBUX virtual assistant will integrate ChatGPT.

At CES 2024, Mercedes-Benz exhibited its MBUX Virtual Assistant integrated with ChatGPT. Running on the new Mercedes-Benz Operating System (MB.OS), MBUX Virtual Assistant uses generative AI and proactive intelligence, and has four 'personality traits': Natural, Predictive, Personal and Empathetic. Based on the large language model, MBUX Virtual Assistant provides more natural, more humanized and more personalized voice interaction. Coupled with 3D graphics technology, its virtual avatar can express different moods and states of being, with emotions ranging from calm to excitement.

It provides "intimate advices" in line with user habits and scenarios: for example, playing the latest news in the morning, helping to reserve a parking space in advance based on the driver's daily route, or arranging calendar events based on traffic conditions.

The four "personality traits" (Natural, Predictive, Personal and Empathetic) of the virtual assistant make the conversation more natural and smoother. The customer can choose to speak with the assistant with or without using the keyword 'Hey Mercedes'. It can answer questions directly and obtain more accurate information through "reflective questions".

3. Automakers open more edit permissions to users via co-creation platforms.

The development of software-defined vehicles and EEAs makes OEMs' co-creation platforms a possibility. Automakers open more custom edit permissions to users though co-creation platforms, so that users can create personalized exclusive cars as they like and need, thus enjoying personalized services.

Case 1: GAC launched "Automotive Sound Effects Co-creation Platform" and "ADiGO MAGIC"

In December 2022, GAC launched the "Automotive Sound Effects Co-creation Platform", allowing users to upload sound effects and be certified as a sound engineer. Every user could share his/her unique auditory taste.

In June 2023, GAC unveiled the "ADiGO MAGIC", a co-creation platform that opens 2,000+ vehicle atomic services for users to edit and combine them freely, thus defining personalized products unlimited to scenarios. In addition, ADiGO MAGIC can not only meet consumers' demand for personalized functional services, but also serve developers, aiming at solving tricky problems such as complicated processes, high thresholds and slow verification in automotive software development, thus promoting the innovative development of the automotive industry.

Case 2: Yangwang U9 supports custom programming.

In February 2024, Yangwang U9, the second model of the Yangwang brand, officially debuted. This model provides users with a large number of customizable modules, covering doors, lights, seats, and U9's unique E4 and DiSus-X. All the functions of the car can be flexibly called by codes. Therefore, Yangwang U9 can flexibly call various vehicle functions through programming, realizing the body actions like "dancing to the beat". In future, Yangwang will work together with artists from all walks of life and launch more interesting limited "optional" functions. It will also open the programming authority of DiSus-X, movable parts, sound and photoelectric functions, and create a private and exclusive "sense of ritual" together with users.

Table of Contents

1 Overview of In-vehicle Infotainment (IVI) System

  • 1.1 China's IVI System Installations and Installation Rate
  • 1.2 IVI System Installations of Independent Brands
    • 1.2.1 IVI System Installations and Installation Rate
    • 1.2.2 IVI System Installations and Installation Rate: By Price
    • 1.2.3 IVI System Installations and Installation Rate: By Brand
    • 1.2.4 IVI System Installations and Installation Rate: By System
  • 1.3 IVI System Installations of Emerging Brands
    • 1.3.1 IVI System Installations and Installation Rate
    • 1.3.2 IVI System Installations and Installation Rate: By Price
    • 1.3.3 IVI System Installations and Installation Rate: By Brand
    • 1.3.4 IVI System Installations and Installation Rate: By System
  • 1.4 IVI System Installations of Joint Venture Brands
    • 1.4.1 IVI System Installations and Installation Rate
    • 1.4.2 IVI System Installations and Installation Rate: By Price
    • 1.4.3 IVI System Installations and Installation Rate: By Brand
    • 1.4.4 IVI System Installations and Installation Rate: By System

2 Next-generation IVI Systems of OEMs

  • 2.1 IVI System Development Trends
    • 2.1.1 IVI System Development Trend 1
    • 2.1.2 IVI System Development Trend 2
  • 2.2 BYD
    • 2.2.1 Iteration of IVI System
    • 2.2.2 Latest IVI System
    • 2.2.3 Typical Models with IVI System
    • 2.2.4 Core Suppliers
  • 2.3 Geely
    • 2.3.1 Geely
      • 2.3.1.1 Iteration of IVI System
      • 2.3.1.2 Latest IVI System
      • 2.3.1.3 Typical Models with IVI System
      • 2.3.1.4 Core Suppliers
      • 2.3.1.5 Next-generation IVI System
    • 2.3.2 ZEEKR
      • 2.3.2.1 Iteration of IVI System
      • 2.3.2.2 Latest IVI System
      • 2.3.2.3 Typical Models with IVI System
    • 2.3.3 Lynk & Co
      • 2.3.3.1 Iteration of IVI System
      • 2.3.3.2 Latest IVI System
      • 2.3.3.3 Core Suppliers
  • 2.4 Changan Automobile
    • 2.4.1 Changan Automobile
      • 2.4.1.1 Iteration of IVI System
      • 2.4.1.2 Latest IVI System
    • 2.4.2 Changan Nevo
      • 2.4.2.1 IVI System
      • 2.4.2.2 Typical Models with IVI System
      • 2.4.2.3 Next-generation IVI System
    • 2.4.3 Avatr
      • 2.4.3.1 Iteration of IVI System
      • 2.4.3.2 Latest IVI System
    • 2.4.4 Changan Deepal
      • 2.4.4.1 Iteration of IVI System
      • 2.4.4.2 Latest IVI System
      • 2.4.4.3 Core Suppliers of Deepal
  • 2.5 Great Wall Motor
    • 2.5.1 Iteration of WEY's IVI System
    • 2.5.2 WEY's Latest IVI System
    • 2.5.3 WEY's Next-generation IVI System
  • 2.6 GAC
    • 2.6.1 Iteration of IVI System
    • 2.6.2 Latest IVI System
    • 2.6.3 Typical Models with IVI System
    • 2.6.4 Core Suppliers
    • 2.6.5 Next-generation IVI System
  • 2.7 FAW
    • 2.7.1 Iteration of Hongqi's IVI System
    • 2.7.2 Hongqi's Latest IVI System
    • 2.7.3 Hongqi's Next-generation IVI System
  • 2.8 Chery
    • 2.8.1 Iteration of IVI System
    • 2.8.2 Latest IVI System
    • 2.8.3 Typical Models with IVI System
    • 2.8.4 Next-generation IVI System
    • 2.8.5 iCar
  • 2.9 SAIC
    • 2.9.1 Rising Auto
      • 2.9.1.1 Iteration of Rising Auto's IVI System
      • 2.9.1.2 Rising Auto's Latest IVI System
      • 2.9.1.3 Rising Auto's Core Supplier
    • 2.9.2 IM Motors
      • 2.9.2.1 Iteration of IVI System
      • 2.9.2.2 Latest IVI System
      • 2.9.2.3 Core Suppliers
      • 2.9.2.4 Next-generation IVI System
  • 2.10 Dongfeng Motor
    • 2.10.1 Iteration of Voyah's IVI System
    • 2.10.2 Voyah's Latest IVI System
  • 2.11 BAIC
    • 2.11.1 BEIJING
      • 2.11.1.1 Iteration of IVI System
      • 2.11.1.2 Latest IVI System
    • 2.11.2 ARCFOX
      • 2.11.2.1 Iteration of IVI System
      • 2.11.2.2 Latest IVI System
  • 2.12 Volkswagen
    • 2.12.1 Iteration of IVI System
    • 2.12.2 Latest IVI System
    • 2.12.3 Next-generation IVI System
  • 2.13 BMW
    • 2.13.1 Iteration of IVI System
    • 2.13.2 Latest IVI System
    • 2.13.3 Next-generation IVI System
  • 2.14 Mercedes-Benz
    • 2.14.1 Iteration of IVI System
    • 2.14.2 Latest IVI System
    • 2.14.3 Next-generation IVI System
  • 2.15 Tesla
    • 2.15.1 IVI System
  • 2.16 Audi
    • 2.16.1 Iteration of IVI System
    • 2.16.2 Latest IVI System
  • 2.17 NIO
    • 2.17.1 Iteration of IVI System
    • 2.17.2 Latest IVI System
    • 2.17.3 Core Suppliers
    • 2.17.4 Next-generation IVI System
  • 2.18 Xpeng
    • 2.18.1 Iteration of IVI System
    • 2.18.2 Latest IVI System
    • 2.18.3 Typical Models with IVI System
    • 2.18.4 Core Suppliers
  • 2.19 Li Auto
    • 2.19.1 Iteration of IVI System
    • 2.19.2 Latest IVI System
    • 2.19.3 Typical Models with IVI System
    • 2.19.4 Core Suppliers
    • 2.19.5 Next-generation IVI System
  • 2.20 Neta
    • 2.20.1 Iteration of IVI System
    • 2.20.2 Latest IVI System
    • 2.20.3 Core Suppliers
    • 2.20.4 Next-generation IVI System
  • 2.21 Leapmotor
    • 2.21.1 Iteration of IVI System
    • 2.21.2 Latest IVI System
    • 2.21.3 Core Suppliers
  • 2.22 AITO
    • 2.22.1 Iteration of IVI System
    • 2.22.2 Latest IVI System
    • 2.22.3 Core Suppliers
    • 2.22.4 Next-generation IVI System
  • 2.23 Xiaomi
    • 2.23.1 IVI System
    • 2.23.2 Latest IVI System

3 Automotive Ecosystem Content: Socializing Trends

  • 3.1 Automotive Socializing Trend 1
    • 3.1.1 Case 1
    • 3.1.2 Case 2
  • 3.2 Automotive Socializing Trend 2
    • 3.2.1 Cases
  • 3.3 Automotive Socializing Trend 3
    • 3.3.1 Case 1
    • 3.3.2 Case 2
  • 3.4 Automotive Socializing Trend 4
    • 3.4.1 Case 1
    • 3.4.2 Case 2
    • 3.4.3 Case 3

4 Automotive Ecosystem Content: Positioning & Navigation Trends

  • 4.1 Installation Summary of Automotive Navigation
  • 4.2 Automotive Navigation Trend 1
    • 4.2.1 Case 1
    • 4.2.2 Case 2
    • 4.2.3 Case 3
  • 4.3 Automotive Navigation Trend 2
    • 4.3.1 Cases
  • 4.4 Automotive Navigation Trend 3
  • 4.5 Automotive Navigation Trend 4
  • 4.6 Automotive Navigation Trend 5

4 Automotive Ecosystem Content: Audio/Video Trends

  • 5.1 Installation Summary of Automotive Audio and Video Software
  • 5.2 Status Quo of Automotive Audio and Video Market
    • 5.2.1 Automotive Audio and Video Market Size
    • 5.2.2 Cyberspace Administration of China (CAC) Announced Policies to Guide the Healthy Development of the Industry
    • 5.2.3 Top Audio and Video Suppliers Actively Lay out the Automotive Entertainment Market
  • 5.3 Automotive Audio and Video Trend 1
    • 5.3.1 Case 1
    • 5.3.2 Case 2
    • 5.3.3 Case 3
    • 5.3.4 Case 4
  • 5.4 Automotive Audio and Video Trend 2
    • 5.4.1 Case 1
    • 5.4.2 Case 2
    • 5.4.3 Case 3
  • 5.5 Automotive Audio and Video Trend 3
    • 5.5.1 Cases
  • 5.6 Automotive Audio and Video Trend 4
  • 5.7 Automotive Audio and Video Trend 5
    • 5.7.1 Case 1
    • 5.7.2 Case 2
    • 5.7.3 Case 3
  • 5.8 Automotive Audio and Video Trend 6
    • 5.8.1 Case 1
    • 5.8.2 Case 2
  • 5.9 Automotive Audio and Video Trend 7
  • 5.10 Automotive Audio and Video Trend 8

6 Automotive Ecosystem Content: Game Trends

  • 6.1 Installation Summary of Automotive Games
  • 6.2 Status Quo of Automotive Gaming Market
  • 6.3 Automotive Gaming Trend 1
    • 6.3.1 Cases
    • 6.3.2 Automotive Gaming Trend 1 (1)
      • 6.3.2.1 Case 1
      • 6.3.2.2 Case 2
    • 6.3.3 Automotive Gaming Trend 1 (2)
  • 6.4 Automotive Gaming Trend 2
    • 6.4.1 Case 1
    • 6.4.2 Case 2
    • 6.4.3 Case 3
  • 6.5 Automotive Gaming Trend 3
    • 6.5.1 Automotive Gaming Trend 3 (1)
      • 6.5.1.1 Case 1
      • 6.5.1.2 Case 2
    • 6.5.2 Automotive Gaming Trend 3 (2)
      • 6.5.2.1 Case 1
      • 6.5.2.2 Case 2
      • 6.5.2.3 Case 3

7 Trends of Automotive App Stores

  • 7.1 Installation Summary of Automotive App Stores
  • 7.2 Automotive App Store Trend 1
    • 7.2.1 Case 1
    • 7.2.2 Case 2
    • 7.2.3 Case 3
    • 7.2.4 Case 4
  • 7.3 Automotive App Store Trend 2
    • 7.3.1 Case 1
    • 7.3.2 Case 2
    • 7.3.3 Case 3

8 Automotive HMI Trends

  • 8.1 Installation Summary of Automotive HMI
  • 8.2 Automotive HMI Trend 1
    • 8.2.1 Case 1
    • 8.2.2 Case 2
    • 8.2.3 Case 3
  • 8.3 Automotive HMI Trend 2
    • 8.3.1 Case 1
    • 8.3.2 Case 2
    • 8.3.3 Case 3
  • 8.4 Automotive HMI Trend 3
    • 8.4.1 Case 1
    • 8.4.2 Case 2
    • 8.4.3 Case 3
  • 8.5 Automotive HMI Trend 4
    • 8.5.1 Case 1
    • 8.5.2 Case 2
    • 8.5.3 Case 3
  • 8.6 Automotive HMI Trend 5
    • 8.6.1 Case 1
    • 8.6.2 Case 2

9 Trends of Automotive Scene Modes

  • 9.1 Summary of Automotive Scene Modes
  • 9.2 Automotive Scene Mode Trend 1
    • 9.2.1 Cases
  • 9.3 Automotive Scene Mode Trend 2
    • 9.3.1 Case 1
    • 9.3.2 Case 2
    • 9.3.3 Case 3
    • 9.3.4 Case 4
  • 9.4 Automotive Scene Mode Trend 3
  • 9.5 Automotive Scene Mode Trend 4
    • 9.5.1 Case 1
    • 9.5.2 Case 2
    • 9.5.3 Case 3

10 Other Trends

  • 10.1 Other Trend 1
    • 10.1.1 Case 1
    • 10.1.2 Case 2
  • 10.2 Other Trend 2
    • 10.2.1 Case 1
    • 10.2.2 Case 2
  • 10.3 Other Trend 3
    • 10.3.1 Case 1
    • 10.3.2 Case 2
    • 10.3.3 Case 3
    • 10.3.4 Case 4