[323 Pages Report] The global multi-tenant data centers market is forecasted to be valuated at US$ 130716.6 million by 2032, up from US$ 38968.9 million in 2022, advancing at a CAGR of 12.9% from 2022 to 2032.
Increase in the size of business services, better experience for clients and end users, and many other factors are expected to increase the sales of multi-tenant data centers.
Report Attribute | Details |
---|---|
Multi-tenant Data Centers Market Valuation as on 2022 | US$ 38968.9 million |
Multi-tenant Data Centers Market Anticipated Forecast Value (2032) | US$ 130716.6 million |
Multi-tenant Data Centers Market Projected Growth Rate (2022-2032) | 12.9% |
Multi-tenant data center is also known as colocation data center. Using the multi-tenant data center, organisations have the ability to rent the required space to the host data.
The purpose of providing the space and the networking equipment is to connect the organisations to the service providers at a minimal cost. The renting can be done for achieving a variety of purposes ranging from server rack to a complete-purpose built module.
The multi-tenant data centers operate on an architecture which serves many clients using a single instance software application.
The infrastructure management of multi-tenant data centers is done by the service provider, and the end user make use of the service provided.
Depending on the business requirements, the compartment of these data centers can work across physical boundaries, organisational boundaries, or between two different organisations as well.
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The multi-tenant data centers are mainly meant for offering much output using very few resources. This helps in minimising capital expenditure. This is something which company looks forward to as it helps them to utilise this for some other useful investment. This is expected to increase the demand for multi-tenant data centers market.
Moreover, the multi-tenant data centers have this attribute of offering quick solution for any given business problem. This gives room to the managers to take the decision efficiently, thereby increasing the profit for the company. This is anticipated to increase the sales of multi-tenant data centers market.
The Internet is expanding faster than ever before. With the growing internet, the data, be it from the primary source or secondary source is also increasing. It becomes crucial to handle this data, so that the organisations can make the best use of this data, and create the appropriate product/service. This is expected to increase the demand for multi-tenant data centers market.
Apart from internet, even the IoT space, AI and ML sectors are also expected to rise rapidly in the given times. All this can be attributed towards the development of Web 3.0 by the technological giants.
The companies that are into development of Web 3.0 and related technology would certainly require the multi-tenant data centers. These would effectively manage the data, and would help the companies to come up with effective solutions. This might increase the adoption of multi-tenant data centers.
Moreover, in the current IT industry, the technological advancements are happening at a rapid space. There are chances that with such advancements, the architecture might become much complex. It is here that the multi-tenant data centers come to the fore.
These data centers are capable of handling multiple clients at a single time, thus making even the most complex architecture simple, and making them function effectively. This is anticipated to increase the demand for multi-tenant data centers.
There has been an increase in the application of Software-defined data center (SDDC). The speciality about SDDC is that they make use of storage, CPU, and security which are virtualised. This drastically reduces E- wastage, as a result of which the environment remains cleaner.
The growing demand for SDDC is linked to growing demand for internet. The increase in the usage of SDDC is also expected to increase the sales of multi-tenant data centers, and the usage of SDDC can be considered as an important cog in the wheel for the multi-tenant data centers market.
Healthcare industry is another sector where the data centers are on demand. With regulatory bodies emphasizing on rules based on records and details of the patients, the data centers would play a pivotal role in managing such huge chunks of data.
This is expected to increase the adoption of multi-tenant data centers.
However, data theft and hacking because of increase in the cybercrime cases remains a major concern for the multi-tenant data centers market. The developers should seek ways to improve the security by developing a fool proof architecture which would provide service excellence as well as data security.
North America is currently the largest market for multi-tenant data centers, with a market share of 36.2%, and the share is anticipated to rise further during the forecast period.
The reason being the IT and data related industry is growing at a decent pace in this region, and with increased usage of SDDC in this region, the growth will only propel further. Moreover, the existence of competitive environment within various industries might also be instrumental in further increasing the market share in North America.
Europe, which has a market share of 24.1%, is also expected to exhibit growth during the forecast period.
A significant increase in the demand for such data centers by large scale businesses, and also evolving IT sector in this region is expected to drive the multi-tenant data centers market in this region.
With rapid penetration of internet, and increase in the adoption of IoT and AI ML as well, there is a lot happening in the start up ecosystem of multi-tenant data centers market.
Data center wholesale start up, Prime Data Centers has unveiled a new hyperscale data center facility in Silicon Valley as it continues to increase the data centers in California. If the sources are to be believed, even national expansion is not far away.
The 121000 square feet, 9-megawatt data center is located in Santa Clara, California. The focus will be on providing data centers to large enterprises and hyperscalers.
The multi-tenant data centers market share is expected to rise further. Some of the key players are: Ascenty, AT&T, CentriLogic, China Telecom, CenturyLink, Cisco, IBM Corporation, Digital Realty, Equinix Inc., RACKSPACE, Datapipe, Digiplex, DuPont Fabros, Global Switch, Level 3 Communications, and NTT Communications Corporation.
The main players are taking every possible step to increase the multi-tenant data centers market size. They are venturing into partnerships with various asset management firms for entering into real estate sectors and various other sectors to increase the market of multi-tenant data centers.
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Report Attribute | Details |
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Growth Rate | CAGR of 12.9% from 2022 to 2032 |
Base Year for Estimation | 2021 |
Historical Data | 2016-2021 |
Forecast Period | 2022-2032 |
Quantitative Units | Revenue in USD Million and CAGR from 2022-2032 |
Report Coverage | Revenue Forecast, Volume Forecast, Company Ranking, Competitive Landscape, Growth Factors, Trends and Pricing Analysis |
Segments Covered |
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Regions Covered |
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Key Countries Profiled |
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Key Companies Profiled |
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Customization | Available Upon Request |
The multi-tenant data centers market is projected to grow at a CAGR of 12.9% during the forecast period (2022-2032).
The multi-tenant data centers market has a valuation of US$ 38968.9 million as on 2022.
The multi-tenant data centers market is expected to be valued US$ 130716.6 million in 2032.
1. Executive Summary
1.1. Global Market Outlook
1.2. Demand-side Trends
1.3. Supply-side Trends
1.4. Technology Roadmap Analysis
1.5. Analysis and Recommendations
2. Market Overview
2.1. Market Coverage / Taxonomy
2.2. Market Definition / Scope / Limitations
3. Market Background
3.1. Market Dynamics
3.1.1. Drivers
3.1.2. Restraints
3.1.3. Opportunity
3.1.4. Trends
3.2. Scenario Forecast
3.2.1. Demand in Optimistic Scenario
3.2.2. Demand in Likely Scenario
3.2.3. Demand in Conservative Scenario
3.3. Opportunity Map Analysis
3.4. Investment Feasibility Matrix
3.5. PESTLE and Porter’s Analysis
3.6. Regulatory Landscape
3.6.1. By Key Regions
3.6.2. By Key Countries
3.7. Regional Parent Market Outlook
4. Global Multi-tenant Data Centers Market Analysis 2017-2021 and Forecast, 2022-2032
4.1. Historical Market Size Value (US$ Mn) Analysis, 2017-2021
4.2. Current and Future Market Size Value (US$ Mn) Projections, 2022-2032
4.2.1. Y-o-Y Growth Trend Analysis
4.2.2. Absolute $ Opportunity Analysis
5. Global Multi-tenant Data Centers Market Analysis 2017-2021 and Forecast 2022-2032, By Application
5.1. Introduction / Key Findings
5.2. Historical Market Size Value (US$ Mn) Analysis By Application, 2017-2021
5.3. Current and Future Market Size Value (US$ Mn) Analysis and Forecast By Application, 2022-2032
5.3.1. Public Cloud
5.3.2. Private Cloud
5.4. Y-o-Y Growth Trend Analysis By Application, 2017-2021
5.5. Absolute $ Opportunity Analysis By Application, 2022-2032
6. Global Multi-tenant Data Centers Market Analysis 2017-2021 and Forecast 2022-2032, By End User
6.1. Introduction / Key Findings
6.2. Historical Market Size Value (US$ Mn) Analysis By End User, 2017-2021
6.3. Current and Future Market Size Value (US$ Mn) Analysis and Forecast By End User, 2022-2032
6.3.1. IT and Telecom
6.3.2. Healthcare
6.3.3. Defence
6.3.4. Manufacturing
6.3.5. Retail
6.3.6. Media and Entertainment
6.3.7. Food and Beverages
6.3.8. Energy and Utility
6.3.9. Others
6.4. Y-o-Y Growth Trend Analysis By End User, 2017-2021
6.5. Absolute $ Opportunity Analysis By End User, 2022-2032
7. Global Multi-tenant Data Centers Market Analysis 2017-2021 and Forecast 2022-2032, By Region
7.1. Introduction
7.2. Historical Market Size Value (US$ Mn) Analysis By Region, 2017-2021
7.3. Current Market Size Value (US$ Mn) Analysis and Forecast By Region, 2022-2032
7.3.1. North America
7.3.2. Latin America
7.3.3. Europe
7.3.4. Asia Pacific
7.3.5. MEA
7.4. Market Attractiveness Analysis By Region
8. North America Multi-tenant Data Centers Market Analysis 2017-2021 and Forecast 2022-2032, By Country
8.1. Historical Market Size Value (US$ Mn) Trend Analysis By Market Taxonomy, 2017-2021
8.2. Market Size Value (US$ Mn) Forecast By Market Taxonomy, 2022-2032
8.2.1. By Country
8.2.1.1. US
8.2.1.2. Canada
8.2.2. By Application
8.2.3. By End User
8.3. Market Attractiveness Analysis
8.3.1. By Country
8.3.2. By Application
8.3.3. By End User
8.4. Key Takeaways
9. Latin America Multi-tenant Data Centers Market Analysis 2017-2021 and Forecast 2022-2032, By Country
9.1. Historical Market Size Value (US$ Mn) Trend Analysis By Market Taxonomy, 2017-2021
9.2. Market Size Value (US$ Mn) Forecast By Market Taxonomy, 2022-2032
9.2.1. By Country
9.2.1.1. Brazil
9.2.1.2. Mexico
9.2.1.3. Rest of Latin America
9.2.2. By Application
9.2.3. By End User
9.3. Market Attractiveness Analysis
9.3.1. By Country
9.3.2. By Application
9.3.3. By End User
9.4. Key Takeaways
10. Europe Multi-tenant Data Centers Market Analysis 2017-2021 and Forecast 2022-2032, By Country
10.1. Historical Market Size Value (US$ Mn) Trend Analysis By Market Taxonomy, 2017-2021
10.2. Market Size Value (US$ Mn) Forecast By Market Taxonomy, 2022-2032
10.2.1. By Country
10.2.1.1. Germany
10.2.1.2. U.K.
10.2.1.3. France
10.2.1.4. Spain
10.2.1.5. Italy
10.2.1.6. Rest of Europe
10.2.2. By Application
10.2.3. By End User
10.3. Market Attractiveness Analysis
10.3.1. By Country
10.3.2. By Application
10.3.3. By End User
10.4. Key Takeaways
11. Asia Pacific Multi-tenant Data Centers Market Analysis 2017-2021 and Forecast 2022-2032, By Country
11.1. Historical Market Size Value (US$ Mn) Trend Analysis By Market Taxonomy, 2017-2021
11.2. Market Size Value (US$ Mn) Forecast By Market Taxonomy, 2022-2032
11.2.1. By Country
11.2.1.1. China
11.2.1.2. Japan
11.2.1.3. South Korea
11.2.1.4. Rest of Asia Pacific
11.2.2. By Application
11.2.3. By End User
11.3. Market Attractiveness Analysis
11.3.1. By Country
11.3.2. By Application
11.3.3. By End User
11.4. Key Takeaways
12. MEA Multi-tenant Data Centers Market Analysis 2017-2021 and Forecast 2022-2032, By Country
12.1. Historical Market Size Value (US$ Mn) Trend Analysis By Market Taxonomy, 2017-2021
12.2. Market Size Value (US$ Mn) Forecast By Market Taxonomy, 2022-2032
12.2.1. By Country
12.2.1.1. GCC Countries
12.2.1.2. South Africa
12.2.1.3. Israel
12.2.1.4. Rest of MEA
12.2.2. By Application
12.2.3. By End User
12.3. Market Attractiveness Analysis
12.3.1. By Country
12.3.2. By Application
12.3.3. By End User
12.4. Key Takeaways
13. Key Countries Multi-tenant Data Centers Market Analysis
13.1. US
13.1.1. Pricing Analysis
13.1.2. Market Share Analysis, 2021
13.1.2.1. By Application
13.1.2.2. By End User
13.2. Canada
13.2.1. Pricing Analysis
13.2.2. Market Share Analysis, 2021
13.2.2.1. By Application
13.2.2.2. By End User
13.3. Brazil
13.3.1. Pricing Analysis
13.3.2. Market Share Analysis, 2021
13.3.2.1. By Application
13.3.2.2. By End User
13.4. Mexico
13.4.1. Pricing Analysis
13.4.2. Market Share Analysis, 2021
13.4.2.1. By Application
13.4.2.2. By End User
13.5. Germany
13.5.1. Pricing Analysis
13.5.2. Market Share Analysis, 2021
13.5.2.1. By Application
13.5.2.2. By End User
13.6. U.K.
13.6.1. Pricing Analysis
13.6.2. Market Share Analysis, 2021
13.6.2.1. By Application
13.6.2.2. By End User
13.7. France
13.7.1. Pricing Analysis
13.7.2. Market Share Analysis, 2021
13.7.2.1. By Application
13.7.2.2. By End User
13.8. Spain
13.8.1. Pricing Analysis
13.8.2. Market Share Analysis, 2021
13.8.2.1. By Application
13.8.2.2. By End User
13.9. Italy
13.9.1. Pricing Analysis
13.9.2. Market Share Analysis, 2021
13.9.2.1. By Application
13.9.2.2. By End User
13.10. China
13.10.1. Pricing Analysis
13.10.2. Market Share Analysis, 2021
13.10.2.1. By Application
13.10.2.2. By End User
13.11. Japan
13.11.1. Pricing Analysis
13.11.2. Market Share Analysis, 2021
13.11.2.1. By Application
13.11.2.2. By End User
13.12. South Korea
13.12.1. Pricing Analysis
13.12.2. Market Share Analysis, 2021
13.12.2.1. By Application
13.12.2.2. By End User
13.13. GCC Countries
13.13.1. Pricing Analysis
13.13.2. Market Share Analysis, 2021
13.13.2.1. By Application
13.13.2.2. By End User
13.14. South Africa
13.14.1. Pricing Analysis
13.14.2. Market Share Analysis, 2021
13.14.2.1. By Application
13.14.2.2. By End User
13.15. Israel
13.15.1. Pricing Analysis
13.15.2. Market Share Analysis, 2021
13.15.2.1. By Application
13.15.2.2. By End User
14. Market Structure Analysis
14.1. Competition Dashboard
14.2. Competition Benchmarking
14.3. Market Share Analysis of Top Players
14.3.1. By Regional
14.3.2. By Application
14.3.3. By End User
15. Competition Analysis
15.1. Competition Deep Dive
15.1.1. CenturyLink
15.1.1.1. Overview
15.1.1.2. Product Portfolio
15.1.1.3. Profitability by Market Segments
15.1.1.4. Sales Footprint
15.1.1.5. Strategy Overview
15.1.1.5.1. Marketing Strategy
15.1.2. Cisco
15.1.2.1. Overview
15.1.2.2. Product Portfolio
15.1.2.3. Profitability by Market Segments
15.1.2.4. Sales Footprint
15.1.2.5. Strategy Overview
15.1.2.5.1. Marketing Strategy
15.1.3. IBM Corporation
15.1.3.1. Overview
15.1.3.2. Product Portfolio
15.1.3.3. Profitability by Market Segments
15.1.3.4. Sales Footprint
15.1.3.5. Strategy Overview
15.1.3.5.1. Marketing Strategy
15.1.4. Digital Realty
15.1.4.1. Overview
15.1.4.2. Product Portfolio
15.1.4.3. Profitability by Market Segments
15.1.4.4. Sales Footprint
15.1.4.5. Strategy Overview
15.1.4.5.1. Marketing Strategy
15.1.5. Equinix
15.1.5.1. Overview
15.1.5.2. Product Portfolio
15.1.5.3. Profitability by Market Segments
15.1.5.4. Sales Footprint
15.1.5.5. Strategy Overview
15.1.5.5.1. Marketing Strategy
15.1.6. RACKSPACE
15.1.6.1. Overview
15.1.6.2. Product Portfolio
15.1.6.3. Profitability by Market Segments
15.1.6.4. Sales Footprint
15.1.6.5. Strategy Overview
15.1.6.5.1. Marketing Strategy
15.1.7. Global Switch
15.1.7.1. Overview
15.1.7.2. Product Portfolio
15.1.7.3. Profitability by Market Segments
15.1.7.4. Sales Footprint
15.1.7.5. Strategy Overview
15.1.7.5.1. Marketing Strategy
15.1.8. NTT Communications Corporation
15.1.8.1. Overview
15.1.8.2. Product Portfolio
15.1.8.3. Profitability by Market Segments
15.1.8.4. Sales Footprint
15.1.8.5. Strategy Overview
15.1.8.5.1. Marketing Strategy
15.1.9. AT&T
15.1.9.1. Overview
15.1.9.2. Product Portfolio
15.1.9.3. Profitability by Market Segments
15.1.9.4. Sales Footprint
15.1.9.5. Strategy Overview
15.1.9.5.1. Marketing Strategy
15.1.10. CentriLogic
15.1.10.1. Overview
15.1.10.2. Product Portfolio
15.1.10.3. Profitability by Market Segments
15.1.10.4. Sales Footprint
15.1.10.5. Strategy Overview
15.1.10.5.1. Marketing Strategy
15.1.11. Fujitsu
15.1.11.1. Overview
15.1.11.2. Product Portfolio
15.1.11.3. Profitability by Market Segments
15.1.11.4. Sales Footprint
15.1.11.5. Strategy Overview
15.1.11.5.1. Marketing Strategy
15.1.12. HCL
15.1.12.1. Overview
15.1.12.2. Product Portfolio
15.1.12.3. Profitability by Market Segments
15.1.12.4. Sales Footprint
15.1.12.5. Strategy Overview
15.1.12.5.1. Marketing Strategy
15.1.13. Verizon Enterprise
15.1.13.1. Overview
15.1.13.2. Product Portfolio
15.1.13.3. Profitability by Market Segments
15.1.13.4. Sales Footprint
15.1.13.5. Strategy Overview
15.1.13.5.1. Marketing Strategy
15.1.14. Zayo Group
15.1.14.1. Overview
15.1.14.2. Product Portfolio
15.1.14.3. Profitability by Market Segments
15.1.14.4. Sales Footprint
15.1.14.5. Strategy Overview
15.1.14.5.1. Marketing Strategy
15.1.15. DuPont Fabros
15.1.15.1. Overview
15.1.15.2. Product Portfolio
15.1.15.3. Profitability by Market Segments
15.1.15.4. Sales Footprint
15.1.15.5. Strategy Overview
15.1.15.5.1. Marketing Strategy
15.1.16. Expedient Data Centers
15.1.16.1. Overview
15.1.16.2. Product Portfolio
15.1.16.3. Profitability by Market Segments
15.1.16.4. Sales Footprint
15.1.16.5. Strategy Overview
15.1.16.5.1. Marketing Strategy
15.1.17. PCCW Global
15.1.17.1. Overview
15.1.17.2. Product Portfolio
15.1.17.3. Profitability by Market Segments
15.1.17.4. Sales Footprint
15.1.17.5. Strategy Overview
15.1.17.5.1. Marketing Strategy
15.1.18. Singtel
15.1.18.1. Overview
15.1.18.2. Product Portfolio
15.1.18.3. Profitability by Market Segments
15.1.18.4. Sales Footprint
15.1.18.5. Strategy Overview
15.1.18.5.1. Marketing Strategy
16. Assumptions & Acronyms Used
17. Research Methodology
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