Global Edge Data Center Market- By End-Use Industry
Global Edge Data Center Market – By Data Center Type
Global Edge Data Center Market – By Region
North America-
Europe-
Asia-Pacific-
Latin America-
Middle East & Africa-
Chapter 1. Methodology and Scope
1.1. Research Methodology
1.2. Research Scope & Assumptions
Chapter 2. Executive Summary
Chapter 3. Global Edge Data Center Market Snapshot
Chapter 4. Global Edge Data Center Market Variables, Trends & Scope
4.1. Market Segmentation & Scope
4.2. Drivers
4.3. Challenges
4.4. Trends
4.5. Investment and Funding Analysis
4.6. Porter's Five Forces Analysis
4.7. Incremental Opportunity Analysis (US$ MN), 2024-2031
4.8. Global Edge Data Center Market Penetration & Growth Prospect Mapping (US$ Mn), 2023-2031
4.9. Competitive Landscape & Market Share Analysis, By Key Player (2023)
4.10. Use/impact of AI on Edge Data Center Industry Trends
Chapter 5. Edge Data Center Market Segmentation 1: By End-Use Industry, Estimates & Trend Analysis
5.1. Market Share by End-Use Industry, 2023 & 2031
5.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2019 to 2031 for the following End-Use Industry:
5.2.1. IT and Telecom
5.2.2. Banking, Financial Services, and Insurance (BFSI)
5.2.3. Government and Public Sector
5.2.4. Healthcare
5.2.5. Manufacturing
5.2.6. Automotive
5.2.7. Retail
5.2.8. Others
Chapter 6. Edge Data Center Market Segmentation 2: By Data Center Type, Estimates & Trend Analysis
6.1. Market Share by Data Center Type, 2023 & 2031
6.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2019 to 2031 for the following Data Center Types:
6.2.1. On-Premise Edge
6.2.2. Network Edge
6.2.3. Regional Edge
Chapter 7. Edge Data Center Market Segmentation 6: Regional Estimates & Trend Analysis
7.1. Global Edge Data Center Market, Regional Snapshot 2023 & 2031
7.2. North America
7.2.1. North America Edge Data Center Market Revenue (US$ Million) Estimates and Forecasts by Country, 2024-2031
7.2.1.1. US
7.2.1.2. Canada
7.2.2. North America Edge Data Center Market Revenue (US$ Million) Estimates and Forecasts by End-Use Industry, 2024-2031
7.2.3. North America Edge Data Center Market Revenue (US$ Million) Estimates and Forecasts by Data Center Type, 2024-2031
7.3. Europe
7.3.1. Europe Edge Data Center Market Revenue (US$ Million) Estimates and Forecasts by Country, 2024-2031
7.3.1.1. Germany
7.3.1.2. U.K.
7.3.1.3. France
7.3.1.4. Italy
7.3.1.5. Spain
7.3.1.6. Rest of Europe
7.3.2. Europe Edge Data Center Market Revenue (US$ Million) Estimates and Forecasts by End-Use Industry, 2024-2031
7.3.3. Europe Edge Data Center Market Revenue (US$ Million) Estimates and Forecasts by Data Center Type, 2024-2031
7.4. Asia Pacific
7.4.1. Asia Pacific Edge Data Center Market Revenue (US$ Million) Estimates and Forecasts by Country, 2024-2031
7.4.1.1. India
7.4.1.2. China
7.4.1.3. Japan
7.4.1.4. Australia
7.4.1.5. South Korea
7.4.1.6. Hong Kong
7.4.1.7. Southeast Asia
7.4.1.8. Rest of Asia Pacific
7.4.2. Asia Pacific Edge Data Center Market Revenue (US$ Million) Estimates and Forecasts by End-Use Industry, 2024-2031
7.4.3. Asia Pacific Edge Data Center Market Revenue (US$ Million) Estimates and Forecasts By Data Center Type, 2024-2031
7.5. Latin America
7.5.1. Latin America Edge Data Center Market Revenue (US$ Million) Estimates and Forecasts by Country, 2024-2031
7.5.1.1. Brazil
7.5.1.2. Mexico
7.5.1.3. Rest of Latin America
7.5.2. Latin America Edge Data Center Market Revenue (US$ Million) Estimates and Forecasts by End-Use Industry, 2024-2031
7.5.3. Latin America Edge Data Center Market Revenue (US$ Million) Estimates and Forecasts by Data Center Type, 2024-2031
7.6. Middle East & Africa
7.6.1. Middle East & Africa Edge Data Center Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031
7.6.1.1. GCC Countries
7.6.1.2. Israel
7.6.1.3. South Africa
7.6.1.4. Rest of Middle East and Africa
7.6.2. Middle East & Africa Edge Data Center Market Revenue (US$ Million) Estimates and Forecasts by End-Use Industry, 2024-2031
7.6.3. Middle East & Africa Edge Data Center Market Revenue (US$ Million) Estimates and Forecasts by Data Center Type, 2024-2031
Chapter 8. Competitive Landscape
8.1. Major Mergers and Acquisitions/Strategic Alliances
8.2. Company Profiles
8.2.1. ATLASEDGE DATA CENTRES
8.2.1.1. Business Overview
8.2.1.2. Key Product/Service Offerings
8.2.1.3. Financial Performance
8.2.1.4. Geographical Presence
8.2.1.5. Recent Developments with Business Strategy
8.2.2. ATC TRS V LLC
8.2.3. Cologix
8.2.4. Vapor IO
8.2.5. DartPoints
8.2.6. Digital Realty
8.2.7. Edge Centres
8.2.8. EdgeConneX
8.2.9. Ubiquity Management, LLC
8.2.10. Leading Edge Data Centres
8.2.11. Proximity Data Centres
8.2.12. Switch
8.2.13. Vertiv Group Corp
8.2.14. Evoque Data Center Solutions
8.2.15. Flexential
8.2.16. DELL
8.2.17. EATON
8.2.18. IBM
8.2.19. NVIDIA
8.2.20. Schneider Electric
8.2.21. Fujitsu
8.2.22. Cisco
8.2.23. Huawei
8.2.24. 365 Data Centers
8.2.25. Rittal
8.2.26. Panduit
8.2.27. Equinix
8.2.28. Sunbird
8.2.29. Vertiv Group
8.2.30. Huber+Suhner
8.2.31. Siemon
This study employed a multi-step, mixed-method research approach that integrates:
This approach ensures a balanced and validated understanding of both macro- and micro-level market factors influencing the market.
Secondary research for this study involved the collection, review, and analysis of publicly available and paid data sources to build the initial fact base, understand historical market behaviour, identify data gaps, and refine the hypotheses for primary research.
Secondary data for the market study was gathered from multiple credible sources, including:
These sources were used to compile historical data, market volumes/prices, industry trends, technological developments, and competitive insights.
Primary research was conducted to validate secondary data, understand real-time market dynamics, capture price points and adoption trends, and verify the assumptions used in the market modelling.
Primary interviews for this study involved:
Interviews were conducted via:
Primary insights were incorporated into demand modelling, pricing analysis, technology evaluation, and market share estimation.
All collected data were processed and normalized to ensure consistency and comparability across regions and time frames.
The data validation process included:
This ensured that the dataset used for modelling was clean, robust, and reliable.
The bottom-up approach involved aggregating segment-level data, such as:
This method was primarily used when detailed micro-level market data were available.
The top-down approach used macro-level indicators:
This approach was used for segments where granular data were limited or inconsistent.
To ensure accuracy, a triangulated hybrid model was used. This included:
This multi-angle validation yielded the final market size.
Market forecasts were developed using a combination of time-series modelling, adoption curve analysis, and driver-based forecasting tools.
Given inherent uncertainties, three scenarios were constructed:
Sensitivity testing was conducted on key variables, including pricing, demand elasticity, and regional adoption.