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市場調查報告書
商品編碼
1494811
2030 年邊緣運算市場預測:按組件、組織規模、部署模型、應用程式、最終用戶和區域進行的全球分析Edge Computing Market Forecasts to 2030 - Global Analysis By Component (Hardware, Software and Services), Organization Size, Deployment Model, Application, End User and By Geography |
根據Stratistics MRC預測,2024年全球邊緣運算市場規模將達到215億美元,預計2030年將達到1,340億美元,預測期內年複合成長率為35.6%。
邊緣運算是一種處理更接近資料來源的資料的技術,而不是依賴集中式資料中心。此方法旨在最大限度地減少延遲、提高效率並提高資料處理和分析的可擴展性。透過將運算資源定位在資料產生的位置或附近,通常是在網路的「邊緣」或附近,邊緣運算減少了向集中式伺服器進行遠距資料傳輸的需要,並減少了網路擁塞並提高了回應時間。邊緣運算對於需要即時資料處理的應用特別有利,例如物聯網 (IoT) 設備、自動駕駛汽車和工業自動化。
據行業專家稱,到 2025 年,75% 的資料將在中央資料中心之外創建。工業 4.0、人工智慧和物聯網等新興技術可能會在預測期內推動全球市場的發展。
連接網路的裝置增加
隨著越來越多的設備在網路外圍產生大量資料,對本地化處理和即時分析的需求不斷增加。邊緣運算透過提供低延遲資料處理、減少網路擁塞和縮短回應時間來解決這種湧入帶來的挑戰。此外,它還可以有效管理分散式系統,提高可擴展性和可靠性。其結果是網際網路連接設備的生態系統不斷發展,加速了邊緣運算解決方案在各行業的採用,並推動了邊緣基礎設施、軟體和服務的市場擴張和創新。
初始投資高
對於企業,尤其是中小型企業 (SME),硬體、軟體和基礎設施的初始成本可能很高。此外,它需要專門的技能和知識,這增加了經濟負擔。這些進入障礙限制了採用率並限制了市場擴張,特別是對於資源有限的組織。此外,與如此大的投資相關的已知風險可能會阻止潛在買家考慮邊緣運算解決方案,並阻止整個行業實現全部潛在利益。
提高頻寬效率
透過提高資料傳輸和處理能力,提高頻寬效率將對邊緣運算市場產生重大影響。透過更有效地利用可用頻寬,邊緣運算解決方案可以無縫處理大量資料,同時減少延遲和擁塞。這種最佳化使得設備和集中式系統之間的通訊更快、更可靠,有利於即時分析和決策。此外,它還減少了網路資源的壓力,降低了企業成本並提高了整體系統效能。
管理複雜性
隨著企業將邊緣節點引入分散式網路,管理和協調這些分散式資源變得越來越複雜。硬體和軟體配置的多樣化以及網路環境的變化使整個邊緣基礎設施的監控、故障排除和保護變得複雜。這種複雜性需要一些公司可能缺乏或成本高昂的專業技能和資源,阻礙了市場擴張。
COVID-19 的影響
COVID-19的爆發也影響了市場成長,邊緣硬體設備的產量減少。由於疫情初期實施的貿易限制,邊緣晶片組、伺服器和其他設備的生產被擱置,影響了全球市場的發展。然而,隨著先進技術和數位化的快速採用,該公司已經開發了邊緣設備的創新用途。此外,隨著物聯網醫療應用的日益普及,邊緣運算已被證明是 COVID-19 爆發期間醫療保健產業的救生技術。
預計硬體領域將在預測期內成為最大的領域
託管服務業對硬體的需求正在成長,預計在預測期內將佔據最大的市場佔有率。隨著物聯網和工業物聯網設備的數量迅速增加,這些設備創建的資料量也迅速增加。因此,為了因應不斷產生的資料量,企業正在採用邊緣運算設備來減少雲端和資料中心的負載。因此,網路邊緣對安全、高效資料處理的需求預計將在預測期內推動硬體領域的成長。
能源和公共事業產業預計在預測期內年複合成長率最高
預計能源和公共事業行業在預測期內將出現最高的年複合成長率,因為依賴設備邊緣基礎設施的智慧電網可能會促進能源和公共事業行業的收益成長。環境永續性努力正在推動世界各地提高公用事業服務效率的努力,包括開發太陽能和風能等替代性可再生能源。世界各地正在安裝智慧電網,以實現即時消耗控制、與智慧家電整合以及支援分散式可再生能源發電的微電網等功能並提高營運效率。
由於工業物聯網和邊緣運算的融合為美國製造商轉向連網型工廠創造了有利條件,預計北美將在預測期內佔據最大的市場佔有率。一些新興企業也在不斷發展,為開發邊緣解決方案提供平台,預計將促進該區域市場的成長。例如,Telus Communications 和 MobiledgeX, Inc. 共同推出了MobiledgeX Early Access 計畫。該計劃將使開發人員能夠在低延遲環境中建立、測試和分析邊緣應用程式的有效性,從而在未來幾年加速該國邊緣運算技術的發展。
亞太地區將成為預測期內成長最快的地區,因為 Meta、蘋果、Netflix 和Google等西方公司透過建立使用個人資料進行廣告定位的標準來塑造全球數位經濟,預計將保持較高的成長率。年成長率。阿里巴巴、百度、華為和中興通訊等中國公司正在塑造邊緣運算支援的監控技術的未來方向。中國在該地區擁有最高的市場佔有率,因為這些努力是為了回應需求。例如,2022 年 3 月,塔塔諮詢服務公司宣布推出一套由 Microsoft Azure 私有行動邊緣運算(私有 MEC)提供支援的企業 5G 邊緣解決方案。預計這些發展將在預測期內增加亞太地區對邊緣運算的需求。
According to Stratistics MRC, the Global Edge Computing Market is accounted for $21.5 billion in 2024 and is expected to reach $134.0 billion by 2030 growing at a CAGR of 35.6% during the forecast period. Edge computing is practice of processing data closer to its source rather than relying on centralized data centers. This approach aims to minimize latency, enhance efficiency, and improve scalability in data processing and analysis. By placing computing resources closer to where data is generated, typically at or near the "edge" of the network, edge computing reduces the need to transmit data over long distances to centralized servers, thereby reducing network congestion and improving response times. Edge computing is particularly beneficial for applications that require real-time data processing, such as Internet of Things (IoT) devices, autonomous vehicles, and industrial automation.
According to industry experts, 75% of data will be created outside central data centers by 2025. Emerging technologies, such as Industry 4.0, artificial intelligence, and IoT, are likely to boost the global market during the forecast period.
Growing internet-connected devices
As more devices generate vast amounts of data at the network's periphery, the demand for localized processing and real-time analytics escalates. Edge computing addresses the challenges posed by this influx by offering low-latency data processing, reducing network congestion, and ensuring faster response times. Moreover, it enables efficient management of distributed systems, enhancing scalability and reliability. Consequently, the expanding ecosystem of internet-connected devices fuels the adoption of edge computing solutions across industries, driving market expansion and innovation in edge infrastructure, software, and services.
High initial investment
Businesses, especially small and medium-sized enterprises (SMEs), the upfront costs of hardware, software, and infrastructure can be prohibitive. Additionally, the need for specialized skills and expertise further adds to the financial burden. This barrier to entry restricts adoption rates and limits market expansion, particularly for organizations with limited resources. Furthermore, the perceived risk associated with such substantial investments may deter potential buyers from exploring edge computing solutions, hindering the realization of its full potential benefits across industries.
Improved bandwidth efficiency
Improved bandwidth efficiency has a profound impact on the edge computing market by enabling enhanced data transmission and processing capabilities. With more efficient utilization of available bandwidth, edge computing solutions can seamlessly handle larger volumes of data while reducing latency and congestion. This optimization allows for faster and more reliable communication between devices and centralized systems, facilitating real-time analytics and decision-making. Moreover, the reduced strain on network resources leads to cost savings for businesses and improves overall system performance.
Complexity of management
As organizations deploy edge nodes across distributed networks, managing and coordinating these decentralized resources becomes increasingly intricate. The diverse hardware and software configurations, coupled with varying network environments, amplify the complexity of monitoring, troubleshooting, and ensuring security across the edge infrastructure. This complexity requires specialized skills and resources, which may be scarce or costly for some businesses hindering market expansion.
Covid-19 Impact
The COVID-19 outbreak has affected the market growth as well, with edge hardware devices experiencing a decline in production. As trade restrictions were enforced during the early stage of the pandemic, the production of edge chip sets, servers, and other devices was put on hold, affecting the progress of the global market. However, with the rapid adoption of advanced technologies and digitalization, businesses have developed innovative uses of edge devices. Also, with the rising introduction of IoT medical applications, edge computing proved to be a life-saving technology for the healthcare industry during the COVID-19 outbreak.
The hardware segment is expected to be the largest during the forecast period
The hardware is expected to be the largest during the forecast period because the demand for hardware is gaining steam in the managed services industry and is predicted to account for the most significant market share over the forecast timeline. As the number of IoT and IIoT devices grows quickly, the volume of data created by these devices is also increasing. Therefore, to deal with the volume of data created, enterprises are adopting edge computing gear to lessen the load on the cloud and data centers. Thus, the demand for secure and efficient data processing at the edge of the network is likely to boost the growth of the hardware segment during the forecast period.
The energy & utilities segment is expected to have the highest CAGR during the forecast period
The energy & utilities segment is expected to have the highest CAGR during the forecast period as smart grids, which depend on device edge infrastructure, are likely to contribute to revenue growth in the energy and utility segment. Environmental sustainability initiatives are fueling efforts to improve electrical utility service efficiencies worldwide, including the development of alternative renewable power sources like solar and wind. Smart grids are being installed worldwide to enable capabilities and enhance operational efficiencies, including real-time consumption control, incorporation with smart appliances, and microgrids to support generation from dispersed renewable sources.
North America is projected to hold the largest market share during the forecast period due to the convergence of IIoT with edge computing is forming favorable conditions for manufacturers in the U.S. to move toward connected factories. Several startups have also evolved to deliver platforms for developing edge-enabled solutions that are anticipated to boost the regional market's growth. For instance, Telus Communications and MobiledgeX, Inc. collaborated to build the MobiledgeX Early Access Programme. The program has allowed developers to build, test, and analyze the efficacy of edge-enabled applications in a low-latency environment accelerate the growth of edge computing technology in the country over the coming years.
Asia Pacific is projected to hold the highest CAGR over the forecast period owing to western companies such as Meta, Apple, Netflix, and Google have shaped the global digital economy by establishing standards for using personal data to target ads. Chinese companies such as Alibaba, Baidu, Huawei, and ZTE are shaping the future direction of edge computing-backed surveillance technology. Such initiatives in China cater to the demand; thus, the country has the highest share in the region. For instance, in March 2022, Tata Consultancy Services announced the launch of an enterprise 5G edge solution suite with Microsoft Azure Private Mobile Edge Computing (Private MEC). Such developments are poised to grow the demand for edge computing in the Asia Pacific region over the forecast period.
Key players in the market
Some of the key players in Edge Computing market include ABB, Amazon Web Services (AWS), Inc., Aricent, Inc, Atos, Capgemini Engineering, Cisco Systems, Inc., Dell Technologies Inc., EdgeIQ, General Electric Company, Google LLC, Hewlett Packard Enterprise Development, Honeywell International Inc., Huawei Technologies Co., Ltd., IBM Corporation, Intel Corporation, Juniper Networks Inc., Microsoft Corporation, Rockwell Automation, Inc, SAP SE and Siemens AG
In May 2024, ABB expands electrification portfolio with acquisition of Siemens' Wiring Accessories business in China. The acquisition will broaden ABB's market reach and complement its regional customer offering within smart buildings.
In May 2024, ABB and Niedax Group to create joint venture to meet growing demand for cable tray systems in North America. The collaboration will integrate the North American cable tray businesses of ABB's Installation Products Division and Niedax Group into a new joint venture.
In May 2024, Lenovo and Cisco Announce Strategic Partnership to Simplify Path to AI Innovation. The two companies agree to design, engineer and deliver deeply integrated solutions that advance generative AI capabilities and digital workplace solutions to boost enterprise productivity
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.