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市場調查報告書
商品編碼
1321329
多接入邊緣計算市場規模、佔有率、趨勢分析報告:按解決方案、最終用途、地區、細分市場趨勢:2023-2030Multi-access Edge Computing Market Size, Share & Trends Analysis Report By Solution (Hardware, Software, Services), By End-use (IT & Telecom & Smart Buildings, Datacenters, Energy & Utilities), By Region, And Segment Forecasts, 2023 - 2030 |
預計到 2022 年,全球多接入邊緣計算市場規模將達到 25.2 億美元,2023 年至 2030 年年複合成長率為 49.1%。
在工業數位化轉型需求不斷成長的推動下,該市場預計在未來幾年將獲得巨大動力,工業數位化轉型以數位化為基礎,支持基於網路的連接並提供工業智慧。 MEC 是指一種分佈式計算架構,它使計算和存儲能力更接近最終用戶和智慧手機、物聯網設備和自動駕駛汽車等設備。 MEC 滿足了擴增實境、虛擬實境、遊戲和工業自動化等對低延遲、高頻寬、高可靠性應用不斷成長的需求。
物聯網、大資料等現代技術不斷應用於教育、醫療、製造、政府等各個領域,產生海量資料。因此,處理的資料量不斷增加,計算變得更加複雜。雲端服務和物聯網的滲透率不斷提高預計將在預測期內對該行業的成長產生積極影響。此外,軟體和設備成長的關鍵促進因素包括與傳入資料即時交互的需求不斷成長以及有限的頻寬可用性。
MEC 設想使用路由器、智慧手機和 PC 等設備來利用本地計算能力。 MEC 具有多項優勢,包括減少延遲和更快的資料處理,以最佳化成本並即時傳遞資訊。 MEC 具有可擴展性,可以利用計算能力來滿足上下文計算需求。這種能力正在推動邊緣計算解決方案在企業中的採用。
MEC 在眾多應用領域的部署預計將與大規模網路流量應用齊頭並進,通常最終會在 5G 中實現。了解 MEC 成長潛力的一個關鍵考慮因素是每個應用所需的 MEC 設備數量以及邊緣基礎設施的預期功能。例如,與零售應用的 MEC 設備相比,汽車應用 (V2X) 的邊緣基礎設施需要更高的計算能力。然而,零售中的MEC設備數量可能會超過V2X。成本、資訊的重要性和速度是決定未來幾年採用 MEC 的一些關鍵參數。
隨著各種技術和應用的出現,傳統系統有望發生改變以提高效率和延遲。例如,電動車不斷的技術升級預計將超越傳統內燃機汽車和傳統汽車。特斯拉、大眾、寶馬、Engie、西門子和ABB等主要參與企業已經認知到服務未來電動汽車客戶的需求以及全球電動車(EV)市場的巨大成長潛力,積極參與電動汽車的發展
這些公司提供專注於可訪問性、效率和改善最終用戶體驗的解決方案。 MEC 智慧地限制發送的資料量,降低資料傳輸成本,並幫助減少離開車輛的敏感資料量。 MEC在即時、準確的能源負荷控制中發揮著重要作用。
The global multi-access edge computing market size was valued at USD 2.52 billion in 2022 and is expected to grow at a compound annual growth rate (CAGR) of 49.1% from 2023 to 2030. The market is expected to gain massive momentum in the coming years, due to the growing demand for the digital transformation of industries, with digitization being the foundation, network-based connectivity being the support, and industrial intelligence. MEC refers to a distributed computing architecture that brings computation and storage capabilities closer to the end-users and devices, such as smartphones, IoT devices, and autonomous vehicles. MEC addresses the increasing demand for low-latency, high-bandwidth, and high-reliability applications, such as augmented reality, virtual reality , gaming, and industrial automation.
Continued adoption of the latest technologies such as the Internet of Things (IoT) and big data across various sectors, including education, healthcare, manufacturing, and the government has generated large volumes of data. As a result, computing is getting more complex, as the volumes of data being handled are increasing. The increasing penetration of cloud services and IoT is expected to impact the industry's growth over the forecast period positively. Additionally, the key driving factors boosting the growth of software and devices include the growing need for real-time interaction with incoming data and the limitations of bandwidth availability.
MEC envisages leveraging local computing power using devices such as routers, smartphones, and PCs. It offers several benefits and helps in processing the data at faster rates with reduced latency, thereby optimizing costs and providing real-time information. MEC is scalable as it can potentially utilize its computing capabilities to meet contextual computing requirements. This capability has thus provided an impetus to the adoption of edge computing solutions among enterprises.
The MEC deployment in numerous application segments is predicted to go hand-in-hand with heavy network traffic applications, which in many cases culminates in 5G. An important point to be considered in understanding the potential growth for MEC is the number of MEC appliances needed for each application and the functionalities expected from the edge infrastructure. For example, the edge infrastructure for automotive applications (V2X) will need higher computing power as compared to the MEC appliance in retail applications. However, the sheer number of MEC appliances in retail would outnumber those in V2X. The cost, criticality of information, and speed are some of the key parameters that will define the adoption of MEC in the coming years.
The emergence of different technologies and applications is expected to change traditional systems to improve efficiency and latency. For instance, the constant technological upgrades in electric vehicles are expected to overtake traditional combustion engine vehicles and conventional vehicles. Key players, including Tesla, Volkswagen, BMW, Engie, Siemens, and ABB, among others, are actively participating in the development of the global Electric Vehicle (EV) market, recognizing the necessity to serve future EV customers as well as the enormous growth potential.
These businesses provide solutions that emphasize accessibility, efficiency, and enhanced end-user experiences. MEC helps to intelligently limit the amount of data that is sent out, lowering data transmission costs and reducing the quantity of sensitive data that leaves the vehicle. MEC will play a critical role in providing real-time, precise energy load control, which is critical for grid stability, especially in emergency scenarios.