市场调查报告书
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2030年边缘计算市场预测-按组件、组织规模、部署、应用、行业和地区进行的全球分析Edge Computing Market Forecasts to 2030 - Global Analysis By Component, Organization Size (Small and Medium-Sized Enterprises and Large Enterprises), Deployment, Application, Vertical and By Geography |
根据 Stratistics MRC 的数据,2023 年全球边缘计算市场规模将达到 535.5 亿美元,预测期内復合年增长率为 19.8%,到 20.3 亿美元达到 1896.5 亿美元。
边缘计算是一种在更接近数据源的位置处理和存储数据的技术,可实现快速实时分析。 边缘计算是一个由小型数据中心组成的网状网络,可以在本地处理和存储资讯,同时将所有传入资讯推送到云端端。 因此,任何在网络边缘附近生成数据的设备都充当边缘设备。 全球边缘计算市场增长的主要驱动因素包括智能应用程序的兴起和全球云端基础设施负担日益加重等变量。
根据 GSMA 的数据,近 90% 的中国移动生态系统参与者将边缘计算视为 5G 时代的关键收入机会。
多家公司正在开发边缘云端计算以支持互联和自动驾驶汽车技术。 使用边缘计算的自动驾驶汽车可以更准确、更快速地消耗数据,因此边缘数据中心可以保留车上的重要数据并丢弃不太重要的数据。 当边缘计算与人工智能和机器学习集成时,它可以通过提供本地处理能力来加速自动驾驶汽车生成的大量数据的处理,从而在几秒钟内提供态势感知。 智能驾驶可以有效避免交通拥堵,为减少交通事故做出贡献。 由于边缘计算的优势,我们预计多家汽车製造商将在不久的将来投资这项技术。 这可能会推动边缘计算市场的发展。
事实证明,将边缘计算平台和应用程序与当前的云端架构集成起来很困难。 随着组织越来越多地采用多云端基础设施,边缘节点的存储和计算能力有限,使得建立可靠的边缘网络来处理来自多个节点的网络流量变得困难。 对于大多数 IT 管理员来说,寻找能够处理高带宽要求和冗余数据报告的解决方案或云端提供商很困难。
AIoT(人工智能物联网)一词最近非常流行。 从健身追踪器到 AR/VR 眼镜再到智能公共交通,人工智能和机器学习正在迅速被用来提高物联网设备的安全性。 网络和系统可以藉助 AIoT 解决跨行业的问题。 将人工智能嵌入软件、芯片组和边缘基础设施中可以增强分析和决策程序。 发达经济体和新兴经济体都在迅速拥抱虚拟现实 (VR) 和增强现实 (AR)。 客户将通过连接数位世界与智慧城市、基于虚拟宇宙的在线游戏和虚拟购物来体验虚拟现实。
边缘计算市场的扩张可能会受到大量初始支出的限制。 许多公司可能不得不在边缘基础设施安装和维护的资本支出上花费大量资金。 购买边缘节点、设备和数据中心的高昂成本使得构建全面可靠的系统变得困难。 保护提供商整个计算网络的巨额支出也限制了该行业的增长。
企业受到 COVID-19 疫情的巨大影响。 这是因为企业正在利用技术来加速和改善其数位化转型。 由于贸易限制,服务器、边缘芯片组等设备的生产在疫情初期就被叫停,影响了全球市场的发展。
由于全球生产的物联网连接设备数量不断增加,大型企业领域预计将实现利润丰厚的增长。 企业需要边缘解决方案来计算所创建的数据、实现更快的资讯传输并改善客户体验。 云端解决方案可能无法处理执行实时处理和提高数据安全性的功能所需的延迟。 通过智能处理流量,边缘计算解决了数据增长的问题,并加快了实时数据的分析速度。 由于这些优势,大型企业比中小企业更多地采用边缘解决方案。
资讯技术 (IT) 和电信行业预计在预测期内将以最高复合年增长率增长。 这是因为许多公司需要将大部分业务转移到云端端。 云端正在迅速成为 IT 和电信领域开展业务的流行方式。 企业利用云端的趋势是数据创建增长的主要因素。 由此产生的即时处理需求阻碍了云端计算程序的采用。 因此,IT 和电信行业在市场上占据主导地位。 此外,边缘计算在製造业的使用正在扩大,预计在未来几年将会增长。
预计亚太地区在预测期内将占据最大的市场份额。 由于多种原因,包括城市化进程的加快、技术创新以及政府对数位经济的支持,该地区正在经历技术飞跃。 此外,通信、云端计算和物联网的快速改进导致组织转向基于云端的方法。 随着云端技术的不断使用和业务流程的扩展,边缘计算解决方案在该领域的普及度显着增加。
预计北美在预测期内的复合年增长率最高。 越来越多的美国顶尖公司对该地区的市场产生了重大影响。 这些参与者包括 IBM、英特尔、微软等。 这些公司通过与小型企业的併购,小心翼翼地扩大了其地理覆盖范围和客户。 这些地区的公司正在利用尖端技术来实现当前流程的现代化。 基于云端的解决方案部署的增加、物联网 (IIoT) 解决方案需求的增加以及其他因素预计将在预测期内对市场产生有利影响。
2022 年 4 月,戴尔科技集团扩展了其边缘解决方案,帮助零售商利用商店生成的数据快速创造更多价值,并提供增强的客户体验。
2022 年 4 月,诺基亚宣布计划将 Microsoft Azure Arc 功能集成到诺基亚 MX Industrial Edge (MXIE) 平台中,释放工业 4.0 用例关键任务应用程序的潜力。
2022年3月,阿联酋综合电信和华为技术公司将在巴塞罗那世界移动大会上帮助迪拜运营商实现电信服务多元化,签署了开发多接入边缘计算(MEC)的初步协议。
According to Stratistics MRC, the Global Edge Computing Market is accounted for $53.55 billion in 2023 and is expected to reach $189.65 billion by 2030 growing at a CAGR of 19.8% during the forecast period. Edge computing is a technology which processes and stores data closer to the source to enable quick and real-time analysis. It is a mesh network of tiny data centres that processes and stores information locally while pushing every piece of information that comes in to the cloud. As a result, every device that produces data near the network's edge serves as an edge device. The primary drivers of the growth of the worldwide edge computing market include variables like the rise in the number of intelligent apps and the increased global strain on cloud infrastructure.
According to GSMA, approximately 90% of mobile ecosystem players in China recognized edge computing as a significant revenue opportunity in the 5G era.
Several businesses have started to develop edge cloud computing to support connected and autonomous vehicle technology. Autonomous vehicles that use edge computing may use data more precisely and quickly, allowing edge data centres to discard less-important data while keeping important data on-board the vehicle. Edge computing, when integrated with AI and ML, may potentially assist achieve situational awareness in a matter of seconds by supplying local processing capability to speed up the processing of enormous amounts of data produced by autonomous cars. Smart driving may effectively avoid traffic jams and contribute to a decrease in traffic accidents. Due to the advantages of edge computing, several automakers are anticipated to make investments in the technology in the near future. This will probably help the market for edge computing.
Integrating edge computing platforms and applications with the current cloud architecture has proven to be challenging. With the growing adoption of multi-cloud infrastructures within the organisation, it appears difficult to establish a reliable edge network to handle the network traffic from multiple nodes due to the limited storage and computing capacity of edge nodes. Finding a solution and cloud providers that can handle the high bandwidth requirements and redundant data reporting are a difficult for the majority of IT managers.
The term "artificial intelligence of things" (AIoT) has become very popular recently. AI and machine learning are quickly being used to make IoT devices more secure, from fitness trackers to AR and VR eyewear and smart public transportation. Networks and systems are able to solve issues across industrial verticals with the aid of AIoT. Analytics and decision-making procedures may be enhanced by incorporating AI into software, chipsets, and edge infrastructure. Both developed and emerging economies are quickly embracing virtual reality (VR) and augmented reality (AR). Customers can experience a virtual reality thanks to the connections between digital worlds and smart cities, metaverse-based online games, and virtual shopping.
The expansion of the edge computing market may be constrained by the hefty initial expenditure. Many businesses may have to spend more money on CAPEX due to the installation and maintenance of edge infrastructure. Construction of a comprehensive and reliable system is challenging because to the high cost of purchasing edge nodes, devices, and data centres. The enormous expenditures that come with securing the entire computing network for the providers also limit industry growth.
Businesses were significantly impacted by the COVID-19 epidemic since they are utilising technology to speed up and improve their digital transition they can adjust to any situation and the epidemic has had an impact on market expansion as well; manufacturing of edge hardware devices has decreased. Due to trade limitations Production of servers, edge chip sets, and other devices was halted during the early stages of the pandemic, which had an impact on the development of the worldwide market.
The large enterprises segment is estimated to have a lucrative growth, due to the number of IoT-connected gadgets being produced globally has increased. To compute the data created, enable speedier information transmission, and improve customer experience, businesses need edge solutions. A cloud solution might not be able to handle the latency necessary for real-time processing and carrying out functions to make the data safer. By handling traffic intelligently, edge computing addresses the issue of growing data quantities and speeds up the analysis of real-time data. Due to these benefits, larger businesses have demonstrated a higher level of edge solution adoption than small and medium-sized businesses.
The information technology (it) & telecommunications segment is anticipated to witness the highest CAGR growth during the forecast period, due to many businesses' operations, requiring them to move the majority of their procedures to the cloud. The cloud has quickly become the preferred method of conducting business in the IT and telecom sectors. The tendency of businesses to use the cloud has been a major factor in the growth of data creation. Instantaneous processing has become necessary as a result, which has hindered the adoption of cloud computing procedures. Because of this, the IT and telecom sectors retained the majority of the market. In addition, the manufacturing sector is anticipated to grow in the next years as a result of the expanding use of edge computing in that area.
Asia Pacific is projected to hold the largest market share during the forecast period owing to quickly and luring several international businesses to do business here. The area has experienced technological breakthroughs due to a number of causes, including rising urbanisation, technological innovation, and government backing for the digital economy. Additionally, organisations have started using cloud-based methods as a result of quick improvements in telecommunications, cloud computing, and IoT. Due to the growing use of cloud technologies and the expansion of business processes, edge computing solutions have seen a considerable increase in popularity in the area.
North America is projected to have the highest CAGR over the forecast period; owing to the increasing number of top players situated in the United States has a significant impact on the local market. These players include, among many others, IBM, Intel, and Microsoft. By combining with and buying small businesses, these corporations have been carefully extending their geographic reach and clientele. Businesses in these locations have been utilising cutting-edge technology to modernise their current procedures. Increasing cloud-based solution deployment, expanding industrial Internet of Things (IIoT) solution demand, and other factors are anticipated to have a favourable influence on the market over the forecast period.
Some of the key players profiled in the Edge Computing Market include Microsoft Corporation, Google LLC, Huawei Technologies Co. Limited, Cisco Systems Inc., IBM Corporation, Dell Technologies Inc., EdgeIQ, ADLINK Technology Inc., General Electric Company, Amazon Web Services Inc., Hewlett Packard Enterprise Company, Capgemini Engineering, Juniper Networks Inc., Nokia, Intel, SAP SE and Alphabet Inc
In April 2022, Dell Technologies has expanded its edge solutions to help retailers quickly generate more value and deliver enhanced customer experiences from data generated in retail locations.
In April 2022, Nokia announced plans to integrate Microsoft Azure Arc capabilities into the Nokia MX Industrial Edge (MXIE) platform, unlocking the potential of mission critical applications for Industry 4.0 use cases.
In March 2022, Emirates Integrated Telecommunications Company and Huawei Technologies signed a preliminary agreement at the Mobile World Congress in Barcelona to develop multi-access edge computing (MEC) that will help the Dubai operator diversify its communications services.
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.