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Global & China Automotive Cloud Service Platform Market Analysis

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The “Automotive Cloud Service Platform Industry Report, 2021-2022” report has been added to ResearchAndMarkets.com’s offering.

With the development of intelligent connectivity, the interaction of vehicles with people, other vehicles, and roads during driving will generate massive data which need be stored, calculated and analyzed before decisions are made and output. The IT architecture of traditional automakers is not enough to support complex data computing and network, so the cloud is the only solution.

The digital transformation of automakers refers to cloud transformation

Based on 5ABCD (5G, artificial intelligence, blockchain, cloud computing, big data) and other technologies, cloud service platforms run through the research and development, production, sale, management, services and other links of automakers to effectively help them improve automotive products, user experience and service ecosystem as the core and basic platforms for the digital transformation of automakers. It can be said that the digital transformation of automakers is virtually cloud transformation.

For automakers, the significance of moving to the cloud lies in:

  • Lower IT costs. Cloud platforms can save IT resource budgets and improve productivity. FAW Hongqi has slashed the construction cost by 40% after using HUAWEI CLOUD Stack to build an information infrastructure platform
  • Higher business efficiency. In product research and development, cloud platforms enable timely computing power. CAE and CAD scenarios have begun to see cloud-based applications, especially the construction of HPC hybrid cloud models. In terms of marketing, E-commerce websites, CDP, CRM, etc. have deployed in the cloud to better integrate with third-party data for the purpose of applications and responses. For the IoV business, cloud platforms can meet the demand of high-concurrency connectivity, business peaks and valleys, and multi-ecological construction, so more than 90% of automakers have make a layout of IoV services in the cloud. As for scenarios such as big data and AI, cloud-based models (public cloud, private cloud, and hybrid cloud) can reduce O&M and usage costs
  • Further software innovation. Under the software-defined vehicle architecture, vehicles can be continuously upgraded through the OTA services, so that they keep evolving. The decoupled development of software and hardware and the continuous services of the back-end cloud platform empower the innovative ecology of automotive development
  • Product differentiation. OEMs can use hundreds of perception algorithms to create personalized upper-layer applications, while new entrants can establish differentiated advantages with new cloud services and the ability to adjust automotive software on demand

Key Topics Covered:

Chapter 1 Status Quo of Automotive Cloud Service Platforms

1.1 Automotive Cloud Service Industry Overview

1.1.1 Introduction to Cloud Service Platform

1.1.2 Cloud Platform Is Fundamental to the Digitalization of Automakers

1.1.3 Significance of Automakers onto Cloud

1.1.4 China Automotive Cloud Market Size

1.2 Applications of Automotive Cloud Services

1.2.1 Major Applications of Automotive Cloud Services

1.2.2 Autonomous Driving Cloud

1.2.3 IoV Cloud

1.2.4 V2X Cloud

1.2.5 Shared Mobility Cloud

1.2.6 Fleet Management Cloud

1.3 Automotive Cloud Industry Chain

1.3.1 A Panorama of Automotive Cloud Industry Chain

1.3.2 Global Public Cloud Market

1.3.3 China Public Cloud Market

1.3.4 Automotive Engagement of Public Cloud Providers at Home and Abroad

1.3.5 Cloud Exertion by OEMs

1.3.6 OEMS & Their Cloud Service Providers

1.3.7 Cloud Platform Layout of OEMs

1.4 Development Trends of Automotive Cloud Service Platform

Chapter 2 Overseas Providers of Automotive Cloud Platform

2.1 Amazon Web Services (AWS)

2.2 Microsoft Azure

2.3 Google Cloud

2.4 IBM Cloud

2.5 Oracle Cloud

Chapter 3 Chinese Providers of Automotive Cloud Platform

3.1 Huawei Cloud

3.2 Baidu Cloud

3.3 Alibaba Cloud

3.4 Tencent Cloud

3.5 PATEO

Chapter 4 Foreign OEMs’ Efforts in Cloud Platform

4.1 Mercedes-Benz

4.2 BMW

4.3 VW

4.4 Volvo

4.5 Ford

4.6 Toyota

4.7 SAIC-GM

4.8 Other Automakers

4.8.1 Renault-Nissan-Mitsubishi Alliance & Microsoft

4.8.2 Dongfeng Honda & Huawei Cloud

Chapter 5 Chinese OEMs’ Efforts in Cloud Platform

5.1 SAIC Group

5.2 FAW Group

5.3 Dongfeng Motor Corporation

5.4 BAIC Group

5.5 GAC Group

5.6 Changan Automobile

5.7 Great Wall Motor

5.8 Geely

5.9 BYD

5.10 NIO

5.11 XPENG

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