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市场调查报告书
商品编码
1321329
多接入边缘计算市场规模、份额、趋势分析报告:按解决方案、最终用途、地区、细分市场趋势: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 |
预计到 2022 年,全球多接入边缘计算市场规模将达到 25.2 亿美元,2023 年至 2030 年復合年增长率为 49.1%。
在工业数字化转型需求不断增长的推动下,该市场预计在未来几年将获得巨大动力,工业数字化转型以数字化为基础,支持基于网络的连接并提供工业智能。 MEC 是指一种分布式计算架构,它使计算和存储能力更接近最终用户和智能手机、物联网设备和自动驾驶汽车等设备。 MEC 满足了增强现实、虚拟现实、游戏和工业自动化等对低延迟、高带宽、高可靠性应用不断增长的需求。
物联网、大资料等现代技术不断应用于教育、医疗、製造、政府等各个领域,产生海量资料。因此,处理的资料量不断增加,计算变得更加复杂。云服务和物联网的渗透率不断提高预计将在预测期内对该行业的增长产生积极影响。此外,软件和设备增长的关键促进因素包括与传入资料实时交互的需求不断增长以及有限的带宽可用性。
MEC 设想使用路由器、智能手机和 PC 等设备来利用本地计算能力。 MEC 具有多项优势,包括减少延迟和更快的资料处理,以优化成本并实时传递资讯。 MEC 具有可扩展性,可以利用计算能力来满足上下文计算需求。这种能力正在推动边缘计算解决方案在企业中的采用。
MEC 在众多应用领域的部署预计将与大规模网络流量应用齐头并进,通常最终会在 5G 中实现。了解 MEC 增长潜力的一个关键考虑因素是每个应用所需的 MEC 设备数量以及边缘基础设施的预期功能。例如,与零售应用的 MEC 设备相比,汽车应用 (V2X) 的边缘基础设施需要更高的计算能力。然而,零售中的MEC设备数量可能会超过V2X。成本、资讯的重要性和速度是决定未来几年采用 MEC 的一些关键参数。
随着各种技术和应用的出现,传统系统有望发生改变以提高效率和延迟。例如,电动车不断的技术升级预计将超越传统内燃机汽车和传统汽车。特斯拉、大众、宝马、Engie、西门子和ABB等主要参与企业已经认识到服务未来电动汽车客户的需求以及全球电动车(EV)市场的巨大增长潜力,积极参与电动汽车的发展
这些公司提供专注于可访问性、效率和改善最终用户体验的解决方案。 MEC 智能地限制发送的资料量,降低资料传输成本,并帮助减少离开车辆的敏感资料量。 MEC在实时、准确的能源负荷控制中发挥着重要作用。
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.