通過車載邊緣技術和5G將MEC（Multi-Access Edge Computing）轉變為主要的信息處理樞紐
In-vehicle Edge Tech and 5G to Make MEC the Prime Processing Hub
|出版商||Frost & Sullivan||商品編碼||1009623|
|出版日期||內容資訊||英文 60 Pages
|通過車載邊緣技術和5G將MEC（Multi-Access Edge Computing）轉變為主要的信息處理樞紐 In-vehicle Edge Tech and 5G to Make MEC the Prime Processing Hub|
|出版日期: 2021年05月28日||內容資訊: 英文 60 Pages||
汽車的MEC（Multi-Access Edge Computing）尚處於起步階段，但OEM公司、網絡提供商、雲提供商、軟件公司、硬件公司等各行各業的公司已經進入這個領域。我們正在尋找增長機會。
本報告分析了汽車整車廠技術開發利用的前景，並概述了技術、主要優勢和劣勢以及主要應用領域——尤其是與CASE（Connected、Automated Driving、Sharing and Electrification）相關的領域。- , 我們將為您提供OEM方面的介紹/利用策略、公司間利用狀況的相互比較、主要商業模式、未來的增長機會和問題等信息。
Future Growth Potential of MEC in Automotive Applications
Multi-access Edge Computing (MEC) in automotive is in its early stage and this report is considered to be an overview of the automotive edge computing market. This study defines Multi-Access Edge Computing for the automotive industry and covers how automotive stakeholders should anticipate new applications on both existing and future business models.
The analysis identifies automotive edge computing solutions. OEMs, network providers, cloud providers, software companies, hardware companies, and other enablers are listed in detail, according to their part in the ecosystem. All automotive edge computing applications are grouped according to C.A.S.E (Connected, Autonomous, Shared, and Electric) mobility functions.
Benefits and processes of edge computing in automotive are also covered in this research. OEM perspectives are discussed with examples and investigation of partnerships and natures of the partnerships with edge computing participants, followed by trends in the automotive edge computing industry. MEC companies that are either specifically working on automotive applications or also working in other industries are identified separately. Investments in recent years, business models that are emerging, and growth opportunities are also discussed. The development of different types of edge, such as industrial edge, smart city edge, IoT edge, are categorized as early adopters and expected to be followed by in-vehicle edge. Driving forces such as 4G/5G and increasing autonomous features in cars and their challenges in implementation, security in data exchange in distributed network are also analyzed in this research service.