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2025-01-22 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > IT Information >
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Shulou(Shulou.com)11/24 Report--
CTOnews.com, May 2 (Xinhua)-- Research firm IDC released "IDC MarketShare: market share of self-driving Development platform, 2022" on April 28. According to the report, the market size of China's self-driving platform will reach 589 million yuan in 2022.
IDC said that the self-driving development platform in this study is a self-driving system development platform for automobile enterprises or self-driving solution providers, so that it can quickly build its own autopilot system, so as to meet the needs of technology buyers to deal with huge amounts of data and update and iterative autopilot solutions. the platform needs to have: data processing, storage, analysis and processing; algorithm model development tool chain Functional modules such as simulation system.
According to the CTOnews.com inquiry report, the overall market share is relatively high in terms of market share, with enterprises led by cloud computing vendors accounting for more than 80 per cent of the market share. The market competition situation of China's self-driving development platform in 2022 is shown in the following figure (Note: there may be a small error due to the rounding of numbers). Among them, Baidu Apollo self-driving Cloud (34.4%), Huawei (29.7%), Alibaba (9.2%), Tencent Cloud (5.0%), Amazon Cloud Technology (3.4%), and others (18.3%).
The report shows that the data collected by the test car is stored on the car's hard disk and will be manually uploaded to the data center of the self-driving development platform vendor or to the user's own private cloud data center. In this way, the amount of data of a single hard disk can reach the TB level and there are few restrictions on network data transmission, which is the main component of the current data set; in addition, the hardware integration such as the car chip is converted into a server suitable for the data center between the servers, and then the algorithm is put on the cloud, thus improving the verification and migration of the algorithm in the cloud and the car.
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