市場調查報告書
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1308681
2030年邊緣計算市場預測-按組件、組織規模、部署、應用、行業和地區進行的全球分析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 |
根據 Stratistics MRC 的數據,2023 年全球邊緣計算市場規模將達到 535.5 億美元,預測期內復合年增長率為 19.8%,到 20.3 億美元達到 1896.5 億美元。
邊緣計算是一種在更接近數據源的位置處理和存儲數據的技術,可實現快速實時分析。 邊緣計算是一個由小型數據中心組成的網狀網絡,可以在本地處理和存儲資訊,同時將所有傳入資訊推送到雲端端。 因此,任何在網絡邊緣附近生成數據的設備都充當邊緣設備。 全球邊緣計算市場增長的主要驅動因素包括智能應用程序的興起和全球雲端基礎設施負擔日益加重等變量。
根據 GSMA 的數據,近 90% 的中國移動生態系統參與者將邊緣計算視為 5G 時代的關鍵收入機會。
多家公司正在開發邊緣雲端計算以支持互聯和自動駕駛汽車技術。 使用邊緣計算的自動駕駛汽車可以更準確、更快速地消耗數據,因此邊緣數據中心可以保留車上的重要數據並丟棄不太重要的數據。 當邊緣計算與人工智能和機器學習集成時,它可以通過提供本地處理能力來加速自動駕駛汽車生成的大量數據的處理,從而在幾秒鐘內提供態勢感知。 智能駕駛可以有效避免交通擁堵,為減少交通事故做出貢獻。 由於邊緣計算的優勢,我們預計多家汽車製造商將在不久的將來投資這項技術。 這可能會推動邊緣計算市場的發展。
事實證明,將邊緣計算平台和應用程序與當前的雲端架構集成起來很困難。 隨著組織越來越多地採用多雲端基礎設施,邊緣節點的存儲和計算能力有限,使得建立可靠的邊緣網絡來處理來自多個節點的網絡流量變得困難。 對於大多數 IT 管理員來說,尋找能夠處理高帶寬要求和冗餘數據報告的解決方案或雲端提供商很困難。
AIoT(人工智能物聯網)一詞最近非常流行。 從健身追蹤器到 AR/VR 眼鏡再到智能公共交通,人工智能和機器學習正在迅速被用來提高物聯網設備的安全性。 網絡和系統可以藉助 AIoT 解決跨行業的問題。 將人工智能嵌入軟件、芯片組和邊緣基礎設施中可以增強分析和決策程序。 發達經濟體和新興經濟體都在迅速擁抱虛擬現實 (VR) 和增強現實 (AR)。 客戶將通過連接數位世界與智慧城市、基於虛擬宇宙的在線遊戲和虛擬購物來體驗虛擬現實。
邊緣計算市場的擴張可能會受到大量初始支出的限制。 許多公司可能不得不在邊緣基礎設施安裝和維護的資本支出上花費大量資金。 購買邊緣節點、設備和數據中心的高昂成本使得構建全面可靠的系統變得困難。 保護提供商整個計算網絡的巨額支出也限制了該行業的增長。
企業受到 COVID-19 疫情的巨大影響。 這是因為企業正在利用技術來加速和改善其數位化轉型。 由於貿易限制,服務器、邊緣芯片組等設備的生產在疫情初期就被叫停,影響了全球市場的發展。
由於全球生產的物聯網連接設備數量不斷增加,大型企業領域預計將實現利潤豐厚的增長。 企業需要邊緣解決方案來計算所創建的數據、實現更快的資訊傳輸並改善客戶體驗。 雲端解決方案可能無法處理執行實時處理和提高數據安全性的功能所需的延遲。 通過智能處理流量,邊緣計算解決了數據增長的問題,並加快了實時數據的分析速度。 由於這些優勢,大型企業比中小企業更多地採用邊緣解決方案。
資訊技術 (IT) 和電信行業預計在預測期內將以最高複合年增長率增長。 這是因為許多公司需要將大部分業務轉移到雲端端。 雲端正在迅速成為 IT 和電信領域開展業務的流行方式。 企業利用雲端的趨勢是數據創建增長的主要因素。 由此產生的即時處理需求阻礙了雲端計算程序的採用。 因此,IT 和電信行業在市場上佔據主導地位。 此外,邊緣計算在製造業的使用正在擴大,預計在未來幾年將會增長。
預計亞太地區在預測期內將佔據最大的市場份額。 由於多種原因,包括城市化進程的加快、技術創新以及政府對數位經濟的支持,該地區正在經歷技術飛躍。 此外,通信、雲端計算和物聯網的快速改進導致組織轉向基於雲端的方法。 隨著雲端技術的不斷使用和業務流程的擴展,邊緣計算解決方案在該領域的普及度顯著增加。
預計北美在預測期內的複合年增長率最高。 越來越多的美國頂尖公司對該地區的市場產生了重大影響。 這些參與者包括 IBM、英特爾、微軟等。 這些公司通過與小型企業的併購,小心翼翼地擴大了其地理覆蓋範圍和客戶。 這些地區的公司正在利用尖端技術來實現當前流程的現代化。 基於雲端的解決方案部署的增加、物聯網 (IIoT) 解決方案需求的增加以及其他因素預計將在預測期內對市場產生有利影響。
2022 年 4 月,戴爾科技集團擴展了其邊緣解決方案,幫助零售商利用商店生成的數據快速創造更多價值,並提供增強的客戶體驗。
2022 年 4 月,諾基亞宣布計劃將 Microsoft Azure Arc 功能集成到諾基亞 MX Industrial Edge (MXIE) 平台中,釋放工業 4.0 用例關鍵任務應用程序的潛力。
2022年3月,阿聯酋綜合電信和華為技術公司將在巴塞羅那世界移動大會上幫助迪拜運營商實現電信服務多元化,簽署了開發多接入邊緣計算(MEC)的初步協議。
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.