Dublin, April 27, 2022 (GLOBE NEWSWIRE) — The “Automotive Cloud Services Platform Industry Report, 2021-2022” report has been added to from ResearchAndMarkets.com offer.
The functions of automotive cloud services are continuously subdivided and applications are gradually deepened
As new energy vehicles become smarter, automotive cloud services are constantly segmented, into which autonomous driving, IoV, “electric drive, battery, electric control”, HD maps, V2X , etc. represent higher proportions. Moreover, simulation, OTA and other applications have an increasing demand for the cloud.
Amazon Web Services (AWS) was renamed Amazon Cloud Technology in 2021 to provide digital transformation and service solutions to automakers in China. With AWS IoT, customers can connect vehicles and devices to the AWS Cloud securely, with low latency and low overhead. To help customers more easily develop and deploy a wide range of innovative connected vehicle services, AWS offers a framework that helps customers integrate AWS IoT and AWS Greengrass into the Automotive Grade Linux (AGL) software stack.
HUAWEI CLOUD has relatively comprehensive coverage, including Autonomous Driving Cloud Service, IoV Cloud Service, OBC/BMS/MCU Cloud Service, HD Map Cloud Service (HDMC), and V2X Cloud Service. HUAWEI CLOUD services have covered 80% of major domestic automakers.
HUAWEI CLOUD Autonomous Driving Cloud Service (Octopus) provides driving data, training and simulation services that can support petabyte-level data storage and millions of data retrieval in seconds. Thanks to the self-developed Ascend 910 AI chip and MindSpore AI framework, it can nearly double the drive efficiency and provide more than 10,000 simulation scenarios, covering most road conditions such as smart driving, active safety and dangerous scenarios.
Huawei’s IoV cloud service covers four major areas: OTA, digital twins, intelligent operation and maintenance, and remote control/digital key. Referring to the ICT industry, Huawei proposed the concept of VHR (Vehicle History Record), which realizes the visibility, maintainability, user care and efficient operation of vehicles based on a large amount of data. . VHR covers multiple links such as data collection, data governance, data analysis, vehicle health visualization, vehicle fault diagnosis, trend analysis, prediction, improvement , etc. to form a closed-loop vehicle operation and maintenance system. Application scenarios based on VHR include vehicle digital twins, remote diagnosis, intelligent protection, quality prediction, vehicle portrait, etc.
Baidu Apollo’s “Cloud Intelligent Unmanned Parking System” (CLOUD AVP) has been mass-produced and mounted on the WM W6, enabling autonomous driving in high-frequency scenarios. Users can make the Apollo system quickly memorize and recognize routes and upload them to the cloud through the UI touch interface, and perform calculation and delivery through the cloud, so as to realize autonomous driving , obstacle avoidance, intelligent parking space search, autonomous parking and other functions. At the entrance to a car park, the vehicle can automatically enter the car park, find a parking space and park without human intervention. The cloud platform helps WM Motor do the full line analysis and decision making in the cloud.
Facing the rigid automotive cloud market demand, a number of new automotive cloud platform providers have sprung up in China, such as ByteDance and PATEO.
For automakers, the importance of moving to the cloud lies in:
Reduced IT costs. Cloud platforms can reduce IT resource budgets and improve productivity. FAW Hongqi reduced construction cost by 40% after using HUAWEI CLOUD Stack to build information infrastructure platform
Greater business efficiency. In product research and development, cloud platforms enable timely computing power. CAE and CAD scenarios have started to see cloud-based applications, especially the building of HPC hybrid cloud models. On the marketing side, e-commerce sites, CDP, CRM, etc. have deployed in the cloud to better integrate with third-party data for application and response purposes. For IoV business, cloud platforms can meet the demand for high concurrency connectivity, business peaks and troughs, and multi-ecological construction, such that more than 90% of automakers have implemented places IoV services in the cloud. When it comes to scenarios like big data and AI, cloud-based models (public cloud, private cloud, and hybrid cloud) can reduce O&M and usage costs.
Additional software innovation. As part of the software-defined vehicle architecture, vehicles can be continuously upgraded through OTA services, so they continue to evolve. Decoupled software and hardware development and seamless back-end cloud platform services strengthen the innovative ecology of automotive development
Product differentiation. OEMs can use hundreds of perception algorithms to create custom upper-layer applications, while new entrants can establish differentiated advantages with new cloud services and the ability to adjust automotive software on demand.
Main topics covered:
Chapter 1 Status Quo of Automotive Cloud Service Platforms
1.1 Automotive Cloud Services Industry Overview
1.1.1 Cloud Services Platform Overview
1.1.2 The cloud platform is essential for the digitization of car manufacturers
1.1.3 Importance of automakers on the 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 Cloud V2X
1.2.5 Shared Mobility Cloud
1.2.6 Fleet Management Cloud
1.3 Automotive Cloud Industry Chain
1.3.1 An overview of the automotive cloud industry chain
1.3.2 Global public cloud market
1.3.3 China Public Cloud Market
1.3.4 Domestic and Abroad Automotive Engagement of Public Cloud Providers
1.3.5 Cloud Effort by OEMs
1.3.6 OEMs and their cloud service providers
1.3.7 OEM Cloud Platform Layout
1.4 Development Trends of Automotive Cloud Services Platform
Chapter 2 Foreign Automotive Cloud Platform Suppliers
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 Automotive Cloud Platform Suppliers
3.1 Huawei Cloud
3.2 Baidu Cloud
3.3 Alibaba Cloud
3.4 Tencent Cloud
Chapter 4 Foreign OEM Efforts in Cloud Platform
4.8 Other car manufacturers
4.8.1 Renault-Nissan-Mitsubishi & Microsoft Alliance
4.8.2 Dongfeng Honda and Huawei Cloud
Chapter 5 Chinese OEM 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 Automotive
5.7 Great Wall Engine
For more information on this report, visit https://www.researchandmarkets.com/r/htyndl
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