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OEM 新一代車載資訊娛樂 (IVI) 系統的趨勢 (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個工作天內

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簡介目錄

2023年，我國乘用車將配備IVI系統1664.1萬輛，較上年增長27.0%，安裝率達79.1%，提升13.2個百分點。隨著安裝量的增加，產業發生了量的變化，正在呈現質的飛躍。隨著IVI系統的發展，如何準確捕捉個別使用者的需求與偏好，打造特殊的座艙體驗，實現個人化將成為振興產業必須突破的瓶頸。

1. IVI與智慧型手機整合升級，帶來更創新的座艙個人化體驗。

手機與人們的生活和工作關係最為密切，收集並記錄了大量的用戶行為數據，擁有豐富的生態資源，並且已經個性化。透過將IVI與智慧型手機集成，汽車製造商將把用戶習慣和生態系統從手機轉移到汽車上，將智慧和個人化服務延伸到汽車領域。

IVI與智慧型手機的融合經歷了三個階段。

第一階段，汽車製造商將使用數據線或藍牙，讓IVI透過CarPlay、CarLife等手機鏡像模式單方面檢索智慧型手機應用程序，從而將電話、音樂、地圖等應用程式傳輸到IVI上顯示。

第二階段，進入車聯網時代後，各大主機廠將推出自己的手機APP，提供遠端車輛控制、遠端車輛檢查、車主社群互動等多種功能，並將車輛與智慧型手機進一步連接。互聯體驗。

第三階段，隨著汽車互聯的進一步發展，一些汽車廠商開始探索手機與IVI底層作業系統的深度融合。基於統一作業系統，IVI與手機緊密結合，共享運算能力、儲存和頻寬資源，無縫資料連接， "場景資料與使用者同流" 、硬體共享等，實現了IVI的功能。

在這種將IVI與智慧型手機整合的新方式中，手機應用生態系統將成為IVI生態系統的一個很好的補充，幫助汽車製造商避免建造座艙生態系統的成本過度增加。高階手機晶片的高效能也滿足了汽車廠商對下一代座艙運算能力日益提高的要求。

目前，已有不少公司將IVI與智慧型手機整合技術應用到實車上。例如AITO與Huawei手機的整合、Lynk & Co 08與Meizu 20的整合、NIO與NIO手機的整合、下一代Xiaomi SU7與Xiaomi手機的集成，這些都與IVI和這顯示了整合技術的實際應用結果。Polestar China與Xingji Meizu也宣佈，將共同開發Polestar OS並推出Polestar手機。

案例一：Xingji Meizu基於座艙系統 "Flyme auto" ，整合IVI生態系統和智慧型手機生態系統。

2023年3月，Xingji Meizu推出全新的 "手機境界" 概念，推出首款 "Auto phone" Meizu 20 Flagship及智慧座艙系統Flyme Auto。Meizu Flyme Auto透過手機作業系統Flyme 10和IVI以及智慧型手機整合系統Flyme Link，實現手機和汽車之間的生態同步、硬體共享和OTA。

本報告對中國車載資訊娛樂（IVI）系統進行了調查，涵蓋了主要汽車製造商的IVI系統迭代過程、下一代IVI系統的特點以及汽車生態系統、應用商店和人機介面（HMI）。地分析了場景模式等方面的趨勢。

目錄

第一章 車載資訊娛樂（IVI）系統概述

  • 中國IVI系統數量及安裝率
  • 配備自主品牌IVI系統
  • 配備新興品牌IVI系統
  • 配備合資品牌IVI系統

第二章 OEM下一代IVI系統

  • IVI系統發展趨勢
  • 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 汽車生態內容：社會化趨勢

第四章 汽車生態系內容：定位與導航趨勢

第4章汽車生態系內容：音訊/視訊趨勢

第六章 汽車生態系內容：博弈趨勢

第七章 汽車應用商店趨勢

第8章 汽車HMI趨勢

第九章 汽車場景模式趨勢

第10章其他趨勢

簡介目錄
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