Table of Content

1 Overview of Automotive Cloud Service
1.1 Overview of Automotive Cloud Service Industry
1.1.1 Definition of Automotive Cloud
1.1.2 China’s Automotive Cloud Market Size
1.1.3 Classification of Automotive Cloud Platforms
1.1.4 Automotive Public Cloud Platforms in China
1.1.5 Competitive Landscape of Automotive Cloud Platforms in China
1.2 Main Types of Automotive Cloud Services
1.2.1 China’s Automotive Cloud Market Size by Type
1.2.2 Competitive Landscape of Automotive Cloud Services by Type in China
1.3 Competitive Landscape of Automotive Cloud Services
1.4 Automotive Cloud Business Models in China
1.5 Development Opportunities for Automotive Cloud
1.6 Application Scenarios of Automotive Cloud


2 Automotive Cloud Solutions
2.1 Autonomous Driving Cloud
2.1.1 China’s Autonomous Driving Market
2.1.2 Requirements of Autonomous Driving for Cloud
2.1.3 Examples of Autonomous Driving Cloud Service Providers
2.2 Telematics Cloud
2.2.1 China’s Telematics Market
2.2.2 Requirements of Telematics for Cloud
2.2.3 Examples of Telematics Cloud Service Providers
2.3 V2X Cloud
2.3.1 Overview of V2X CLOUD
2.3.2 Examples of V2X Cloud Service Providers
2.4 Digital Transformation
2.4.1 Overview of Digital Transformation
2.4.2 Requirements of Digital Transformation for Cloud
2.5 Cloud Data Closed Loop
2.5.1 Overview of Data Closed Loop
2.5.2 The Role of Cloud Platform in Data Closed Loop
2.5.3 Cloud Platform Data Closed Loop Cases
2.6 Cloud Information Security
2.6.1 Telematics Security Challenges
2.6.2 Cloud Information Threats
2.6.3 Cloud Information Security Architecture
2.6.4 Cloud Security Policy
2.6.5 Typical Cases of Cloud Security


3 Cloud Platform Infrastructure
3.1 Automotive Cloud Industry Chain
3.2 Data Centers
3.2.1 Distribution of Data Centers in China
3.2.2 Data Center Layout of Cloud Platform Companies
3.2.3 Supercomputing Centers
3.3 Cloud Servers
3.4 Server Chips
3.4.1 Server Chip Technology Route
3.4.2 Server Chip Vendors
3.5 Progress of Cloud Providers in Self-development of Chips
3.5.1 AWS’ Self-developed Chips
3.5.2 Google’s Self-developed Chips
3.5.3 Alibaba’s Self-developed Chips


4 Automotive Public Cloud Platforms
4.1 Amazon Cloud - AWS
4.1.1 Introduction to Automotive Cloud Business
4.1.2 Regional Distribution
4.1.3 Automotive Industry Layout
4.1.4 AWS for Automotive
4.1.5 Software-Defined Vehicle Solutions
4.1.6 Telematics Data Lake
4.1.7 Autonomous Driving Data Lake
4.1.8 Automotive Customers
4.1.9 AWS & Continental
4.1.10 AWS & HERE
4.1.11 AWS & ABUP
4.1.12 AWS & ThunderSoft
4.1.13 AWS & 51WORLD
4.2 Microsoft Cloud - Azure
4.2.1 Azure Telematics Cloud Platform
4.2.2 Microsoft Connected Vehicle Platform (MCVP) Service
4.2.3 MCVP Business Model and Major Clients
4.2.4 MCVP Ecosystem Partners
4.2.5 Cooperated with Ericsson Connected Vehicle Cloud (CVC)
4.2.6 Ericsson CVC Solution
4.2.7 Cooperative Automakers
4.2.8 Cooperative Auto Parts Suppliers
4.3 Google Cloud
4.3.1 Google Cloud Platform (GCP)
4.3.2 Cooperated with Kia and Ford
4.4 Huawei Auto Cloud
4.4.1 Introduction to Huawei Auto Cloud Business
4.4.2 1+3+M+N Global Cloud Infrastructure Layout
4.4.3 Automotive Solution
4.4.4 Telematics Solution
4.4.5 Autonomous Driving Development Solution
4.4.6 Huawei’s Autonomous Driving Cloud Ecosystem Partners
4.4.7 Mobility Solutions
4.4.8 Automotive Simulation Solution
4.4.9 Digital Intelligent Platform Solution
4.4.10 Digital Marketing Solution
4.4.11 Overseas Business Solution
4.4.12 Cooperative Customers
4.5 Baidu Auto Cloud
4.5.1 Introduction
4.5.2 3.0 Architecture
4.5.3 Autonomous Driving Solutions
4.5.4 Baidu Telematics Cloud
4.5.5 Baidu V2X Cloud
4.5.6 Data Closed Loop Solution
4.5.7 Data Annotation Scheme
4.5.8 Security System
4.6 Alibaba Auto Cloud
4.6.1 Introduction
4.6.2 Industry Capabilities
4.6.3 Technical Bases
4.6.4 Major Customers
4.6.5 Telematics Security Solution
4.7 Tencent Auto Cloud
4.7.1 Introduction
4.7.2 Architecture
4.7.3 Tencent Autonomous Driving Cloud
4.7.4 Tencent Intelligent Connection Cloud
4.7.5 Capabilities
4.7.6 Ecosystem
4.7.7 Security Mechanism
4.7.8 Automaker Customers
4.8 ByteDance Auto Cloud
4.8.1 Introduction
4.8.2 System Architecture
4.8.3 Ecosystem
4.8.4 ByteDance’s Cloud Computing Capabilities


5 Cloud Platform Layout of OEMs
5.1 Geely
5.1.1 Cloud Platform Strategy
5.1.2 Digital Transformation Strategic Planning
5.1.3 Corporate Cloud Platform
5.1.4 Corporate Cloud Platform Solution and Planning
5.1.5 Xingrui Intelligent Computing Center
5.1.6 Intelligent Driving Cloud Data Factory
5.1.7 Geely & Tencent Cloud
5.1.8 Geely & Qiniu Cloud
5.1.9 Geely & Huawei Cloud
5.2 Xpeng
5.2.1 Cloud Platform
5.2.2 Fuyao Intelligent Computing Center
5.3 Li Auto
5.3.1 Cloud Platform Layout
5.3.2 Big Data Platform
5.3.3 Telematics Cloud
5.3.4 Data Storage Scheme
5.4 NIO
5.4.1 Autonomous Driving Cloud
5.4.2 Energy Cloud
5.5 FAW
5.5.1 Cloud Platform Layout of FAW Group
5.5.2 FAW Hongqi Intelligent Cloud
5.5.3 FAW Group’s Local Data Center
5.5.4 FAW & Huawei Cloud
5.5.5 FAW & Alibaba Cloud
5.5.6 FAW Group & e Cloud
5.6 Changan
5.6.1 Automotive Digitalization Path
5.6.2 Cloud Platform Big Data
5.6.3 Intelligent Vehicle Cloud Big Data Processing Architecture
5.6.4 Telematics Cloud and R&D Cloud
5.6.5 Terminal-Cloud Integrated SDA
5.6.6 Terminal-Cloud Service Ecosystem
5.6.7 Automotive Cloud Platform Partners
5.6.8 Changan & Tencent Cloud
5.6.9 History of Cooperation between Changan and Tencent
5.7 Great Wall Motor
5.7.1 Intelligent Cloud
5.7.2 Great Wall Motor & Huawei Cloud
5.7.3 Great Wall Motor & Tencent Cloud
5.8 SAIC
5.8.1 Cloud Business Layout
5.8.2 Cloud Products and Services
5.8.3 Overall Architecture of Cloud Platform
5.8.4 Service Capabilities of Cloud Platform
5.8.5 Autonomous Driving Cloud
5.8.6 Vehicle-Cloud Integrated Operating System Architecture
5.8.7 Cloud Product Technology Route and Security Route


6 Summary and Trends
6.1 Significance of Automakers’ Migration to Cloud
6.1.1 Cloud Platform Is the Foundation of Digitization of Automakers
6.1.2 Significance of Automakers’ Migration to Cloud
6.2 Cloud Service Demand Trends
6.2.1 Development Path of Cloud Services in China
6.2.2 Changes in Demand for Cloud Services
6.2.3 What Are the Cloud Capabilities Required by OEMs?
6.3 Automotive Cloud Application and Business Model
6.3.1 Cloud Application of OEMs
6.3.2 Automotive Cloud Business Model
6.4 Cloud Computing Architecture Trends
6.4.1 Cloud Computing Architecture Evolves to the Software and Hardware Integration
6.4.2 E/E Architecture of Vehicle Cloud Computing
6.5 Data Lake and Cloud Native
6.5.1 Data Lake Has Become A Hotspot for Cloud Platform Companies to Explore
6.5.2 Data Lake + Cloud Native Builds a New Storage and Computing System
6.5.3 Data Lake Cloud Native Architecture
6.5.4 Application of AWS Autonomous Driving Data Lake in China
6.5.5 Xpeng Motors’ Autonomous Driving Data Lake Based on Alibaba Cloud
6.5.6 Cloud Native Security Evolution
6.6 Other Trends
6.6.1 Develop from Single Cloud to Multi-Cloud
6.6.2 Expansion of Distributed Edge Cloud Applications
6.6.3 Cloud-Intelligence Integration
6.6.4 Telematics Cloud Control Basic Platform Will Play A Bigger Role