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OEMの次世代車内インフォテインメント(IVI)システムの動向(2024年)

OEMs' Next-generation In-vehicle Infotainment (IVI) System Trends Report, 2024

出版日: | 発行: ResearchInChina | ページ情報: 英文 300 Pages | 納期: 即日から翌営業日

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OEMの次世代車内インフォテインメント(IVI)システムの動向(2024年)
出版日: 2024年03月10日
発行: ResearchInChina
ページ情報: 英文 300 Pages
納期: 即日から翌営業日
  • 全表示
  • 概要
  • 目次
概要

2023年、中国の乗用車1,664万1,000台にIVIシステムが搭載され、前年比27.0%増、搭載率は13.2ポイント増の79.1%に達します。搭載数の増加に伴い、産業は量的な変化を経て質的な飛躍を示しています。IVIシステムが発展する中、ユーザー個々のニーズや選好をいかに的確に捉え、特別なコックピット体験を生み出し、パーソナライゼーションを実現するかが、産業を活性化させるために破壊しなければならないボトルネックとなっています。

1. IVIとスマートフォンの統合のアップグレードは、より革新的なコックピットのパーソナライズされた体験をもたらします。

携帯電話は人々の生活と仕事にもっとも密接に関係し、ユーザーの膨大な行動データを収集・記録し、豊富な生態学的資源を誇り、すでにパーソナライズされています。自動車メーカーは、IVIとスマートフォンの統合によって、ユーザーの習慣とエコシステムを携帯電話から自動車に移し、インテリジェントでパーソナライズされたサービスを自動車分野へ拡大します。

IVIとスマートフォンの統合は3つの段階を経過します。

第1段階では、自動車メーカーはデータケーブルまたはBluetoothを使用して、CarPlayやCarLifeなどの電話ミラーリングモードを通じてIVIがスマートフォンのアプリを一方的に取得できるようにし、電話、音楽、地図などのアプリケーションをIVIインターフェースに映し出します。

第2段階では、コネクテッドカーの時代に突入した後、主要OEMが独自の携帯電話アプリを立ち上げ、遠隔車両制御、遠隔車両点検、カーオーナーコミュニティ交流などの多様な機能を提供し、車両とスマートフォンの相互接続体験をさらに強化します。

第3段階では、自動車の接続性がさらに発展するにつれて、一部の自動車メーカーは携帯電話とIVIの基本的なオペレーティングシステムとの間の深い統合を模索し始めています。統一されたオペレーティングシステムをベースに、IVIと携帯電話は密接に統合され、演算能力、ストレージ、帯域幅のリソースを共有し、シームレスなデータ接続、「ユーザーとのシナリオデータフロー」、ハードウェア共有などの機能を実現します。

このIVIとスマートフォンの統合という新方式では、電話アプリのエコシステムがIVIのエコシステムに大きな補完をもたらし、自動車メーカーがコックピットのエコシステム構築コストの過度な増加を抑制するのに効果的です。また、ハイエンド携帯電話用チップの高い性能は、次世代コックピットの演算能力に対する自動車メーカーの要件の高まりに対応しています。

これまでのところ、かなりの企業がIVIとスマートフォンの統合の技術を実際のモデルに適用しています。例えば、AITOとHuaweiの携帯電話の統合、Lynk & Co 08とMeizu 20との統合、NIOとNIO Phoneとの統合、次期Xiaomi SU7とXiaomiの携帯電話との統合などがあり、いずれもIVIとスマートフォンの統合の技術を実用化した成果を示しています。また、Polestar ChinaとXingji Meizuは、Polestar OSを共同開発し、Polestar携帯電話を発売すると発表しました。

ケース1:コックピットシステム「Flyme auto」をベースに、Xingji MeizuはIVIエコシステムとスマートフォンエコシステムを統合しました。

2023年3月、Xingji Meizuは「携帯電話領域」という全く新しいコンセプトを打ち出し、初の「Auto phone」であるMeizu 20 FlagshipとインテリジェントコックピットシステムFlyme Autoを発表しました。携帯電話のオペレーティングシステムFlyme 10とIVIとスマートフォンの統合システムFlyme Linkにより、Meizu Flyme Autoは携帯電話と自動車の間でエコシステムの同期、ハードウェアの共有、OTAを可能にします。

当レポートでは、中国の車内インフォテインメント(IVI)システムについて調査し、主要自動車メーカーのIVIシステムのイテレーションプロセス、次世代IVIシステムの特徴に加え、自動車エコシステム、アプリストア、ヒューマンマシンインターフェース(HMI)、シーンモードなどの動向を体系的に分析しています。

目次

第1章 車内インフォテインメント(IVI)システムの概要

  • 中国のIVIシステムの搭載数と搭載率
  • 独立系ブランドのIVIシステム搭載
  • 新興ブランドのIVIシステム搭載
  • 合弁ブランドのIVIシステム搭載

第2章 OEMの次世代IVIシステム

  • IVIシステム開発動向
  • 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3章 自動車エコシステムコンテンツ:ソーシャル化の動向

第4章 自動車エコシステムコンテンツ:ポジショニング・ナビゲーションの動向

第4章 自動車エコシステムコンテンツ:オーディオ/ビデオの動向

第6章 自動車エコシステムコンテンツ:ゲームの動向

第7章 自動車アプリストアの動向

第8章 自動車HMIの動向

第9章 自動車シーンモードの動向

第10章 その他の動向

目次
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