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¼¼°èÀÇ 5G ¿§Áö ÄÄÇ»ÆÃ ½ÃÀå ±Ô¸ð, Á¡À¯À², µ¿Ç⠺м® º¸°í¼ : ¼Ö·ç¼Çº°, ÃÖÁ¾ ¿ëµµº°, Áö¿ªº° Àü¸Á ¹× ¿¹Ãø(2024-2031³â)Global 5G Edge Computing Market Size, Share & Trends Analysis Report By Solution (Software, Services), By End Use, By Regional Outlook and Forecast, 2024 - 2031 |
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KBV Cardinal matrix - 5G ¿§Áö ÄÄÇ»ÆÃ ½ÃÀå °æÀï ºÐ¼®
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The Global 5G Edge Computing Market size is expected to reach $69.02 billion by 2031, rising at a market growth of 46.9% CAGR during the forecast period.
The North America segment recorded 38% revenue share in the market in 2023. This dominance is driven by the rapid adoption of 5G technology, strong investments in edge computing infrastructure, and the presence of key market players in the region. The U.S. and Canada have been at the forefront of deploying advanced telecom networks, AI-driven applications, and cloud-native solutions, significantly contributing to market growth.
The major strategies followed by the market participants are partnerships as the key developmental strategy to keep pace with the changing demands of end users. For instance, In February, 2025, Ericsson AB announced the partnership with Telstra, a telecommunications company to launch a programmable 5G Advanced network, using Open RAN hardware and AI-driven automation to enhance network performance. The upgrade offers improved capacity, energy efficiency, and tailored connectivity services, supporting the growth of Industry 4.0 and empowering developers with new opportunities through network APIs. Additionally, In November, 2024, Cisco Systems, Inc. announced the partnership with NTT DATA, an IT company to provide global enterprises with secure, cost-effective 5G connectivity solutions. By leveraging Cisco's eSIM technology and NTT DATA's Transatel network, businesses can easily activate and manage mobile networks, transforming digital services for industries such as retail, finance, and manufacturing.
KBV Cardinal Matrix - 5G Edge Computing Market Competition Analysis
Based on the Analysis presented in the KBV Cardinal matrix; Google LLC, Microsoft Corporation, and Amazon Web Services, Inc. are the forerunners in this Market. In February, 2025, Google LLC announced the partnership with Amdocs, a telecommunications company to optimize 5G network operations using AI. Amdocs' new Network AIOps solution, powered by Google Cloud's AI infrastructure, automates network tasks, enhances performance, and reduces downtime. It utilizes predictive analytics, machine learning, and closed-loop automation to improve service reliability and customer experience. Companies such as Huawei Technologies Co., Ltd., Cisco Systems, Inc., and IBM Corporation are some of the key innovators in 5G Edge Computing Market.
Source: KBV Reseaarch and Secondary Research Analysis
Driving and Restraining Factors
Drivers * Growing Adoption of Internet of Things (IoT) and Connected Devices
Restraints * High Initial Investment and Infrastructure Deployment Costs for 5G Edge Computing
Opportunities * Advancements in Smart Manufacturing and Industry 4.0 Technologies
Challenges * Concerns Over Data Privacy, Cybersecurity, and Compliance Issues
Market Growth Factors
The Internet of Things (IoT) rapidly transforms industries by enabling devices to communicate, analyze data, and automate processes. With billions of connected devices expected to be deployed in sectors such as healthcare, retail, transportation, and manufacturing, there is a growing need for real-time data processing. Traditional cloud computing models struggle to handle the massive influx of data generated by IoT devices, leading to network congestion and increased latency. In conclusion, the growing adoption of the Internet of Things (IoT) and connected devices is propelling the growth of the market.
Additionally, Latency-sensitive applications, such as autonomous vehicles, virtual reality (VR), augmented reality (AR), financial trading, and industrial automation, require effective real-time data processing. Even a few milliseconds of delay can significantly impact outcomes in these industries. For instance, autonomous vehicles must instantly process vast amounts of sensor data to detect obstacles, interpret traffic signals, and make split-second driving decisions. Any lag in data transmission could lead to accidents, making low-latency computing critical. Therefore, rising demand for ultra-low latency applications across multiple industries propels the market's growth.
Market Restraining Factors
However, implementing 5G edge computing requires significant financial investment, making it a major barrier to adoption. Unlike traditional cloud computing, which relies on centralized data centers, edge computing decentralizes data processing, requiring businesses to set up micro-data centers, edge servers, and high-speed fiber-optic networks closer to end users. Therefore, high initial investment and infrastructure deployment costs for 5G edge computing impede the market's growth.
Solution Outlook
Based on solution, the market is characterized by hardware, software, and services.The hardware segment procured 20% revenue share in the market in 2023. The demand for high-performance edge servers, routers, gateways, and processing units has increased due to the growing deployment of 5G networks worldwide. Enterprises and telecom providers are investing in specialized edge hardware to enable seamless data processing, reduce network congestion, and enhance the overall efficiency of edge computing infrastructure.
End Use Outlook
On the basis of end-use, the market is classified into IT & telecom, smart cities, smart homes & smart buildings, data centers, energy & utilities, automotive, healthcare, and others. The data centers segment recorded 17% revenue share in the market in 2023. The rising demand for decentralized data processing and storage solutions has led to an increased focus on edge data centers. These facilities enable faster data transmission, reduce network congestion, and improve service efficiency.
Regional Outlook
Region-wise, the market is analyzed across North America, Europe, Asia Pacific, and LAMEA. The Europe segment witnessed 31% revenue share in the market in 2023. The increasing focus on digital transformation, smart city initiatives, and industrial automation has fuelled the adoption of 5G edge computing across the region. Countries such as Germany, the UK, and France actively invest in edge infrastructure to support applications in autonomous vehicles, smart manufacturing, and IoT.
Market Competition and Attributes
The 5G Edge Computing Market sees intensified competition among startups, telecom providers, and cloud service companies. Innovation accelerates as firms focus on cost-effective, low-latency solutions. Regional players and niche vendors gain traction, but the absence of industry leaders slows large-scale adoption, standardization, and investment, potentially hindering seamless ecosystem development and widespread enterprise deployment.
5G Edge Computing Market Coverage:
Report Attribute Details
Market size value in 2023 USD 3.27 Billion
Market size forecast in 2031 USD 69.02 Billion
Base Year 2023
Historical period 2020 to 2022
Forecast Period 2024 to 2031
Revenue Growth Rate CAGR of 46.9% from 2024 to 2031
Number of Pages 267
Tables 304
Report Coverage Market Trends, Revenue Estimation and Forecast, Segmentation Analysis, Regional and Country Breakdown, Competitive Landscape, Market Share Analysis, Porter's 5 Forces Analysis, Company Profiling, Companies Strategic Developments, SWOT Analysis, Winning Imperatives
Segments Covered Solution, End Use, Region
Country Scope * North America (US, Canada, Mexico, and Rest of North America)
Companies Included Microsoft Corporation, Amazon Web Services, Inc. (Amazon.com, Inc.), Cisco Systems, Inc., Hewlett Packard Enterprise Company, Huawei Technologies Co., Ltd. (Huawei Investment & Holding Co., Ltd.), Ericsson AB, IBM Corporation, Intel Corporation, Google LLC (Alphabet Inc.), and Dell Technologies, Inc.
Recent Strategies Deployed in the Market
List of Key Companies Profiled
Global 5G Edge Computing Market Report Segmentation
By Solution
By End Use
By Geography