Edge Data Center Market (By Component: Service, Solution; By Facility Size: Large Facility, Small And Medium Facility; By End-use Industry: Healthcare And Lifesciences, BFSI, IT And Telecom, Manufacturing & Automotive, Gaming And Entertainment, Government, Retail And E-Commerce, Others) - Global Industry Analysis, Size, Share, Growth, Trends, Regional Outlook, and Forecast 2024-2033
The global edge data center market size reached USD 11.01 billion in 2023 and is projected to surpass around USD 60.01 billion by 2033 with a noteworthy CAGR of 18.48% from 2024 to 2033.
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The U.S. edge data center market size was valued at USD 2.84 billion in 2023 and is projected to reach around USD 15.49 billion by 2033, growing at a CAGR of 18.50% from 2024 to 2033.
North America has the largest market share of 34% in 2023. The primary driver of the market expansion in this area is the increased uptake of edge data center services and solutions. North America is a potential location for the market since it also includes well-known edge data center solutions and service providers. Due to the increasing commercialization and rollout of 5G networks, the region is probably going to experience rapid growth. The expansion of edge data centers in North America is ascribed to several factors, including the necessity of supporting upcoming technologies like 5G, internet of things (IoT), and artificial intelligence (AI), which require high bandwidth connections and low latency. By providing end users with direct access to data processing and storage capabilities, edge data centers may significantly improve application and service performance by reducing latency.
Besides, the Asia Pacific is expected to grow at the fastest CAGR during the forecast period. The expansion of end-use sectors, the surge in IT sector investments, and the increasing number of edge computing firms like Huawei Technologies Co., Ltd. and Fujitsu are driving this region's market for edge data centers. The Asia Pacific region's massive population and fast urbanization are two of the main factors driving the deployment of edge data centers in the area. As more people move into cities and choose digital services, there is an increasing need for faster and more reliable connectivity. By putting storage and processing capacity closer to end users, cutting latency, and enhancing the quality of software and services, edge data centers can meet demand.
The edge data center market offers facilities that are designed to process and store data closer to the location where it is generated, rather than relying on a centralized data center. The concept of edge computing involves bringing computing resources closer to the "edge" of the network, where data is generated and used, to reduce latency, improve performance, and enhance the overall efficiency of data processing. Edge Data Centers are particularly well-suited for applications that require real-time processing, such as autonomous vehicles, smart cities, industrial automation, and healthcare applications. By distributing computing resources closer to where data is generated, edge data centers contribute to more efficient and responsive data processing, making them a critical component in the evolving landscape of computing infrastructure.
Driver: Growing digitalization in various industries
Strong data management infrastructure is now more important than ever as digital transformation is becoming a strategic necessity for companies across many industries. Digital tools and platforms are being used by several industrial sectors, including healthcare, for telemedicine, digital health records, and remote patient monitoring. This necessitates fast and reliable data services. Additionally, the retail industry is using digital platforms for inventory tracking, customer data management, and e-commerce. This is driving up the demand for edge data centers to handle and store data efficiently. Additionally, the manufacturing sector's rising embrace of Industry 4.0 methods and the increasing penetration of automated technologies and connected gadgets that produce massive volumes of data are helping to increase the edge data center market.
Restraints: Security concerns and infrastructure challenge
Distributing data processing closer to the edge raises security concerns. Edge devices may be more vulnerable to physical attacks, and securing numerous distributed data centers poses additional challenges compared to a centralized cloud model. In addition, establishing edge data centers requires significant investment in physical infrastructure. The deployment and maintenance of these facilities can be complex, especially in remote or challenging locations. Thus, the security concern and infrastructure challenges might be a major restraining factors for the edge data center market over the forecast period.
Opportunities: The increasing proliferation of advanced technologies such as IoT, big data, and AI
The emergence of big data, AI, and IoT technologies has led to the creation of enormous amounts of data that need to be processed and analyzed quickly. This has increased the demand for edge data centers. Particularly, IoT devices constantly produce data that must be processed right away to maximize functionality and produce real-time insights. Furthermore, rapid data availability is necessary for AI and machine learning systems to facilitate effective learning and decision-making. In addition, growing big data applications in a variety of industries, including retail, healthcare, finance, and others, are having a beneficial effect on market expansion. Additionally, because edge data centers are close to the data sources, they are the best option for meeting these growing needs because they offer faster data processing rates and reduced latency. Thus, this is expected to offer an attractive opportunity for the edge data center market during the forecast period.
Based on the component, the solution segment led the edge data center market in 2023 with the largest share. Networking equipment, IT racks and enclosures, data center infrastructure management (DCIM) software, and data center analytics solutions are examples of hardware and software solutions included in the solution category. The need for edge data center solutions is being driven by several factors, including the introduction of next-generation DCIM services, the increase in data center workloads during COVID-19, and the requirement to increase data center energy efficiency. Hardware solutions are customized to meet the specific needs of a business and installed on-site or in a third-party data center. In edge data centers, the software controls and arranges processing and data storage. Applications that allow real-time data processing, data analytics tools, and software-defined networking systems can all fall under this category.
Based on the facility size, the large facility segment held the largest share of the edge data center market in 2023. Low-latency processing and storage capabilities closer to the source are becoming more and more necessary as a result of the explosive rise of data-intensive applications and technologies like 5G networks, AI, and the Internet of Things.
Simultaneously, a major growth-inducing element is the increasing adoption of products in small and medium-sized facilities to meet local or regional data processing requirements, enable quicker data processing, reduce network congestion, and enhance application performance. This is especially important for applications like smart cities, linked cars, and industrial automation that need real-time analytics, autonomous systems, and localized data storage. Additionally, the market is expanding due to the rising demand for cloud computing, streaming services, and content delivery.
Based on the end-use industry, the IT and telecom segment dominated the edge data center market in 2023. Growing to meet the demands of huge data processing and low latency in the IT & telecom industry. Technologies like IoT, 5G, augmented and virtual reality, and AI/ML have all contributed to this rise. Edge data centers are becoming more and more in demand as a result of the change that IT and telecom data centers are going through to accommodate low latency and high data volume requirements.
Besides, the manufacturing & automotive segment is expected to grow at a rapid rate over the forecast period in the edge data center market. The primary driver of the segment's growth is the automobile industry's growing embrace of technologies like edge computing and 5G, which can deliver mobile apps securely and dependably together with high bandwidth and low latency. Edge data centers provide real-time monitoring and control of linked equipment and systems, which advances automation in the automotive and industrial industries. This can enhance safety, boost productivity, and get rid of human mistakes. The automotive and industrial sectors can benefit from enhanced supply chain management through the use of edge data centers. For instance, by analyzing data from sensors and other connected devices in real-time, edge data centers may offer insights into the location of various objects, their condition, and performance, enabling businesses to optimize logistics and reduce cost.
Segments Covered in the Report
By Component
By Facility Size
By End-use Industry
By Geography
Chapter 1. Introduction
1.1. Research Objective
1.2. Scope of the Study
1.3. Definition
Chapter 2. Research Methodology (Premium Insights)
2.1. Research Approach
2.2. Data Sources
2.3. Assumptions & Limitations
Chapter 3. Executive Summary
3.1. Market Snapshot
Chapter 4. Market Variables and Scope
4.1. Introduction
4.2. Market Classification and Scope
4.3. Industry Value Chain Analysis
4.3.1. Raw Material Procurement Analysis
4.3.2. Sales and Distribution Channel Analysis
4.3.3. Downstream Buyer Analysis
Chapter 5. COVID 19 Impact on Edge Data Center Market
5.1. COVID-19 Landscape: Edge Data Center Industry Impact
5.2. COVID 19 - Impact Assessment for the Industry
5.3. COVID 19 Impact: Global Major Government Policy
5.4. Market Trends and Opportunities in the COVID-19 Landscape
Chapter 6. Market Dynamics Analysis and Trends
6.1. Market Dynamics
6.1.1. Market Drivers
6.1.2. Market Restraints
6.1.3. Market Opportunities
6.2. Porter’s Five Forces Analysis
6.2.1. Bargaining power of suppliers
6.2.2. Bargaining power of buyers
6.2.3. Threat of substitute
6.2.4. Threat of new entrants
6.2.5. Degree of competition
Chapter 7. Competitive Landscape
7.1.1. Company Market Share/Positioning Analysis
7.1.2. Key Strategies Adopted by Players
7.1.3. Vendor Landscape
7.1.3.1. List of Suppliers
7.1.3.2. List of Buyers
Chapter 8. Global Edge Data Center Market, By Component
8.1. Edge Data Center Market, by Component, 2024-2033
8.1.1 Service
8.1.1.1. Market Revenue and Forecast (2021-2033)
8.1.2. Professional
8.1.2.1. Market Revenue and Forecast (2021-2033)
8.1.3. Managed
8.1.3.1. Market Revenue and Forecast (2021-2033)
8.1.4. Solution
8.1.4.1. Market Revenue and Forecast (2021-2033)
8.1.5. Hardware
8.1.5.1. Market Revenue and Forecast (2021-2033)
8.1.6. Software
8.1.6.1. Market Revenue and Forecast (2021-2033)
Chapter 9. Global Edge Data Center Market, By Facility Size
9.1. Edge Data Center Market, by Facility Size, 2024-2033
9.1.1. Large Facility
9.1.1.1. Market Revenue and Forecast (2021-2033)
9.1.2. Small And Medium Facility
9.1.2.1. Market Revenue and Forecast (2021-2033)
Chapter 10. Global Edge Data Center Market, By End-use Industry
10.1. Edge Data Center Market, by End-use Industry, 2024-2033
10.1.1. Healthcare And Lifesciences
10.1.1.1. Market Revenue and Forecast (2021-2033)
10.1.2. BFSI
10.1.2.1. Market Revenue and Forecast (2021-2033)
10.1.3. IT And Telecom
10.1.3.1. Market Revenue and Forecast (2021-2033)
10.1.4. Manufacturing & Automotive
10.1.4.1. Market Revenue and Forecast (2021-2033)
10.1.5. Gaming And Entertainment
10.1.5.1. Market Revenue and Forecast (2021-2033)
10.1.6. Government
10.1.6.1. Market Revenue and Forecast (2021-2033)
10.1.7. Retail And E-Commerce
10.1.7.1. Market Revenue and Forecast (2021-2033)
10.1.8. Others
10.1.8.1. Market Revenue and Forecast (2021-2033)
Chapter 11. Global Edge Data Center Market, Regional Estimates and Trend Forecast
11.1. North America
11.1.1. Market Revenue and Forecast, by Component (2021-2033)
11.1.2. Market Revenue and Forecast, by Facility Size (2021-2033)
11.1.3. Market Revenue and Forecast, by End-use Industry (2021-2033)
11.1.4. U.S.
11.1.4.1. Market Revenue and Forecast, by Component (2021-2033)
11.1.4.2. Market Revenue and Forecast, by Facility Size (2021-2033)
11.1.4.3. Market Revenue and Forecast, by End-use Industry (2021-2033)
11.1.5. Rest of North America
11.1.5.1. Market Revenue and Forecast, by Component (2021-2033)
11.1.5.2. Market Revenue and Forecast, by Facility Size (2021-2033)
11.1.5.3. Market Revenue and Forecast, by End-use Industry (2021-2033)
11.2. Europe
11.2.1. Market Revenue and Forecast, by Component (2021-2033)
11.2.2. Market Revenue and Forecast, by Facility Size (2021-2033)
11.2.3. Market Revenue and Forecast, by End-use Industry (2021-2033)
11.2.4. UK
11.2.4.1. Market Revenue and Forecast, by Component (2021-2033)
11.2.4.2. Market Revenue and Forecast, by Facility Size (2021-2033)
11.2.4.3. Market Revenue and Forecast, by End-use Industry (2021-2033)
11.2.5. Germany
11.2.5.1. Market Revenue and Forecast, by Component (2021-2033)
11.2.5.2. Market Revenue and Forecast, by Facility Size (2021-2033)
11.2.5.3. Market Revenue and Forecast, by End-use Industry (2021-2033)
11.2.6. France
11.2.6.1. Market Revenue and Forecast, by Component (2021-2033)
11.2.6.2. Market Revenue and Forecast, by Facility Size (2021-2033)
11.2.6.3. Market Revenue and Forecast, by End-use Industry (2021-2033)
11.2.7. Rest of Europe
11.2.7.1. Market Revenue and Forecast, by Component (2021-2033)
11.2.7.2. Market Revenue and Forecast, by Facility Size (2021-2033)
11.2.7.3. Market Revenue and Forecast, by End-use Industry (2021-2033)
11.3. APAC
11.3.1. Market Revenue and Forecast, by Component (2021-2033)
11.3.2. Market Revenue and Forecast, by Facility Size (2021-2033)
11.3.3. Market Revenue and Forecast, by End-use Industry (2021-2033)
11.3.4. India
11.3.4.1. Market Revenue and Forecast, by Component (2021-2033)
11.3.4.2. Market Revenue and Forecast, by Facility Size (2021-2033)
11.3.4.3. Market Revenue and Forecast, by End-use Industry (2021-2033)
11.3.5. China
11.3.5.1. Market Revenue and Forecast, by Component (2021-2033)
11.3.5.2. Market Revenue and Forecast, by Facility Size (2021-2033)
11.3.5.3. Market Revenue and Forecast, by End-use Industry (2021-2033)
11.3.6. Japan
11.3.6.1. Market Revenue and Forecast, by Component (2021-2033)
11.3.6.2. Market Revenue and Forecast, by Facility Size (2021-2033)
11.3.6.3. Market Revenue and Forecast, by End-use Industry (2021-2033)
11.3.7. Rest of APAC
11.3.7.1. Market Revenue and Forecast, by Component (2021-2033)
11.3.7.2. Market Revenue and Forecast, by Facility Size (2021-2033)
11.3.7.3. Market Revenue and Forecast, by End-use Industry (2021-2033)
11.4. MEA
11.4.1. Market Revenue and Forecast, by Component (2021-2033)
11.4.2. Market Revenue and Forecast, by Facility Size (2021-2033)
11.4.3. Market Revenue and Forecast, by End-use Industry (2021-2033)
11.4.4. GCC
11.4.4.1. Market Revenue and Forecast, by Component (2021-2033)
11.4.4.2. Market Revenue and Forecast, by Facility Size (2021-2033)
11.4.4.3. Market Revenue and Forecast, by End-use Industry (2021-2033)
11.4.5. North Africa
11.4.5.1. Market Revenue and Forecast, by Component (2021-2033)
11.4.5.2. Market Revenue and Forecast, by Facility Size (2021-2033)
11.4.5.3. Market Revenue and Forecast, by End-use Industry (2021-2033)
11.4.6. South Africa
11.4.6.1. Market Revenue and Forecast, by Component (2021-2033)
11.4.6.2. Market Revenue and Forecast, by Facility Size (2021-2033)
11.4.6.3. Market Revenue and Forecast, by End-use Industry (2021-2033)
11.4.7. Rest of MEA
11.4.7.1. Market Revenue and Forecast, by Component (2021-2033)
11.4.7.2. Market Revenue and Forecast, by Facility Size (2021-2033)
11.4.7.3. Market Revenue and Forecast, by End-use Industry (2021-2033)
11.5. Latin America
11.5.1. Market Revenue and Forecast, by Component (2021-2033)
11.5.2. Market Revenue and Forecast, by Facility Size (2021-2033)
11.5.3. Market Revenue and Forecast, by End-use Industry (2021-2033)
11.5.4. Brazil
11.5.4.1. Market Revenue and Forecast, by Component (2021-2033)
11.5.4.2. Market Revenue and Forecast, by Facility Size (2021-2033)
11.5.4.3. Market Revenue and Forecast, by End-use Industry (2021-2033)
11.5.5. Rest of LATAM
11.5.5.1. Market Revenue and Forecast, by Component (2021-2033)
11.5.5.2. Market Revenue and Forecast, by Facility Size (2021-2033)
11.5.5.3. Market Revenue and Forecast, by End-use Industry (2021-2033)
Chapter 12. Company Profiles
12.1. NVIDIA Corporation
12.1.1. Company Overview
12.1.2. Product Offerings
12.1.3. Financial Performance
12.1.4. Recent Initiatives
12.2. Cisco Systems Inc.
12.2.1. Company Overview
12.2.2. Product Offerings
12.2.3. Financial Performance
12.2.4. Recent Initiatives
12.3. IBM
12.3.1. Company Overview
12.3.2. Product Offerings
12.3.3. Financial Performance
12.3.4. Recent Initiatives
12.4. Eaton
12.4.1. Company Overview
12.4.2. Product Offerings
12.4.3. Financial Performance
12.4.4. Recent Initiatives
12.5. EdgeConneX Inc.
12.5.1. Company Overview
12.5.2. Product Offerings
12.5.3. Financial Performance
12.5.4. Recent Initiatives
12.6. Endeavor Business Media, LLC.
12.6.1. Company Overview
12.6.2. Product Offerings
12.6.3. Financial Performance
12.6.4. Recent Initiatives
12.7. Fujitsu
12.7.1. Company Overview
12.7.2. Product Offerings
12.7.3. Financial Performance
12.7.4. Recent Initiatives
12.8. Hewlett Packard Enterprise Development LP
12.8.1. Company Overview
12.8.2. Product Offerings
12.8.3. Financial Performance
12.8.4. Recent Initiatives
12.9. Huawei Technologies Co., Ltd.
12.9.1. Company Overview
12.9.2. Product Offerings
12.9.3. Financial Performance
12.9.4. Recent Initiatives
12.10. Schneider Electric
12.10.1. Company Overview
12.10.2. Product Offerings
12.10.3. Financial Performance
12.10.4. Recent Initiatives
Chapter 13. Research Methodology
13.1. Primary Research
13.2. Secondary Research
13.3. Assumptions
Chapter 14. Appendix
14.1. About Us
14.2. Glossary of Terms
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