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Data Center Virtualization Market Analysis- Industry Size, Share, Research Report, Insights, Covid-19 Impact, Statistics, Trends, Growth and Forecast 2022-2030

Published Date: October, 2022
No of Pages: 159
Delivery Format: PDF+Excel

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Industry Trends

Data Center Virtualization Market size surpassed USD 5 billion in 2021 and is projected to grow at over 15.5% CAGR between 2022 and 2030. The increasing awareness pertaining to the benefits of cloud-based data storage and consumer inclination toward digital transformation will bolster the industry growth.
An upsurge in energy consumption from data centers, especially in Europe, is likely to boost the market demand. Data center virtualization utilizes virtualization software with cloud computing technology to replace the traditional physical servers and other related equipment.
The growing emphasis of enterprises functioning in the BFSI sector on transferring data to cloud platforms to improve the business agility is foreseen to impel the data center virtualization market growth. Companies are majorly engaging in strategic growth partnerships with public and private organizations in varied sectors that require digitalization of their data. They are also focusing on enhancing their flexibility and reliability by incorporating data center infrastructure.

Limited knowledge regarding data centers may restrain industry progression

Lack of awareness among companies regarding virtualization technology is a major factor restraining the industry statistics. Many companies possess limited knowledge and information about the transition from physical hardware infrastructure to virtual set-up covering different aspects of the data centers, such as servers, storage, networking, and application. Nonetheless, the increasing establishment of data centers in various regions is set to foster product outlook.

High demand for cost-effective data storage solutions

The data center network virtualization market is poised to reach a valuation of USD 10 billion by 2030. The segmental growth is attributed to rising efforts to reduce the operational cost of data centers, which can be achieved using network virtualization that groups physical networks to operate as a single or multiple independent networks called virtual networks, thus, aiding in cost-efficient data storage.

Requirement for proactive monitoring to help managed services gain traction

The managed services segment is slated to garner nearly USD 2 billion by 2030. Growing need for running specialized and dedicated day-to-day operations at an optimum level is expected to energize managed service growth, propelling the overall data center virtualization market expansion.

Integration of 5G technology in IT & telecom applications

The IT & telecom industry is predicted to reach USD 5 billion in revenue by 2030. The IT and telecom sector is experiencing a revolutionary change with the advent of modern technologies, such as 5G, NFC, and more. As real-time data transfer is crucial for these technologies, IT & telecom operators adopt high-performance data centers to ensure efficient data management, thus spurring data center virtualization market demand.

Asia Pacific to emerge as a prominent revenue pocket

The Asia Pacific data center virtualization market size is projected to witness around 20% gains through 2030. The soaring preference for digitalization across the regional healthcare sector has resulted in a surge in the demand for high-performance data center virtualization. Moreover, companies in the healthcare space are also integrating advanced technologies to enhance the customer experience, thereby fostering the regional progression.

Strategic partnerships with public and private organizations to strengthen industry outlook

Microsoft Corporation, Amazon Web Services, Cisco Systems Inc., IBM Corporation, Dell Inc., Huawei Technology, AT&T, Citrix Systems Inc., Nutanix, and SAP SE are some of the key data center virtualization market players. These companies are opting for diverse business & marketing strategies to attract clients and achieve higher profitability. In addition, to improve the flexibility, scalability, and agility of their own data centers, companies are choosing data center virtualization, pushing product penetration further.
For instance, in January 2022, SAP SE, a German software company, launched its new cloud-based solution offering various benefits for SAP customers. In addition, SAP SE and Lenovo entered into a joint venture for RISE with SAP S/4HANA Cloud to bring the cloud to the data center. Furthermore, it causes less disruption in operations with computing & managed services and frees up IT resources to focus on strategic projects.

Impact of COVID-19 on the market trends

The COVID-19 pandemic presented a series of opportunities for the data center virtualization market. As a result of difficulties in mobilizing physical servers, the closing of buildings, and the opening of new spaces amid lockdowns, many industries shifted their operations to a virtual form of data management, proliferating the revenue share of the participants. Companies increasingly opted for data center virtualization for seamless business operations in light of the remote working trend, which also boosted industry penetration in both developed and developing economies globally.

This data center virtualization market research report includes in-depth coverage of the industry with estimates & forecast in terms of revenue in USD Million from 2018 to 2030, for the following segments:

Market, By type

  • Server virtualization
  • Network virtualization
  • Storage virtualization
  • Application virtualization

Market, By service

  • Optimization services
  • Consulting services
  • Managed services
  • Technical support services

Market, By Application

  • BFSI
  • Colocation
  • Energy
  • Government
  • Healthcare
  • Manufacturing
  • IT & telecom
  • Others

The above information is provided on a regional and country basis for the following:

North America

  • U.S.
  • Canada
  • Mexico

Europe

  • UK
  • Germany
  • France
  • Spain
  • Poland
  • Benelux

Asia Pacific

  • China
  • India
  • Japan
  • Singapore
  • Australia
  • Indonesia

South America

  • Brazil
  • Colombia
  • Chile
  • Argentina

MEA

  • GCC
  • South Africa

Report Content

Chapter 1   Methodology & Scope

1.1    Scope and definition

1.2    Methodology & forecast parameters

1.3    COVID-19 impact

1.3.1    North America

1.3.2    Europe

1.3.3    Asia Pacific

1.3.4    Latin America

1.3.5    MEA

1.4    Data Sources

1.4.1    Secondary

1.4.2    Primary

1.5    Glossary

Chapter 2   Executive Summary

2.1    Data center virtualization industry 3600 snapshots, 2019-2030

2.2    Business trends

2.2.1    TAM, 2023-2030

2.3    Regional trends

2.4    Type trends

2.5    Service trends

2.6    Application trends

Chapter 3   Data Center Virtualization Industry Insights

3.1    Introduction

3.2    Impact of coronavirus (COVID-19) pandemic

3.2.1    Global

3.2.2    Impact by region

3.2.2.1   North America

3.2.2.2   Europe

3.2.2.3   Asia Pacific

3.2.2.4   South America

3.2.2.5   MEA

3.2.3    Industry value chain

3.2.3.1   Research and development

3.2.3.2   Marketing

3.2.3.3   Service providers

3.2.4    Competitive landscape

3.2.4.1   Strategy

3.2.4.2   Distribution network

3.2.4.3   Business growth

3.3    Impact of Russia Ukraine war

3.4    Industry ecosystem analysis

3.4.1    Software developers

3.4.2    Technology providers

3.4.3    Cloud service providers

3.4.4    System integrators

3.4.5    Service providers

3.4.6    Distribution channel analysis

3.4.7    Vendor matrix

3.5    Technology & innovation landscape

3.5.1    AI

3.5.2    Edge computing virtualization

3.5.3    Security virtualization

3.5.4    Next generation data centers

3.6    Proft margin analysis

3.7    Data center architecture

3.8    Regulatory landscape

3.8.1    International standards

3.8.1.1   ISO/IEC TS 22237

3.8.1.2   ISO/IEC 27001: 2013

3.8.1.3   IEEE 1100

3.8.2    North America

3.8.2.1   Occupational Safety and Health Administration (OSHA) electrical safety standard 29 CFR 1910.333

3.8.2.2   ANSI/ASHRAE Standard 90.4-2016

3.8.2.3   National Fire Protection Association (NFPA 855 Standard)

3.8.2.4   Energy Efficiency Regulations, 2016

3.8.2.5   New York State Energy Conservation Construction Code

3.8.2.6   Federal Information Processing Standards (FIPS)

3.8.3    Europe

3.8.3.1   French Data Protection Authority’s (CNIL)

3.8.3.2   ePrivacy Directive

3.8.3.3   European Code of Conduct for Energy Efficiency in Data Centers

3.8.3.4   General Data Protection Regulation

3.8.4    Asia Pacific

3.8.4.1   Energy Conservation Act 2001

3.8.4.2   Green Data Center Act

3.8.4.3   NDRC/AQSIQ/CNCA

3.8.4.4   Personal Information Protection Act (Act No. 14839) (“PIPA”)

3.8.4.5   Multi-Tier Cloud Security (MTCS) Standard

3.8.5    South America

3.8.5.1   Chile Law No. 19.628

3.8.5.2   The Brazilian Electric Power Agency

3.8.5.3   Law 13.709 Brazil

3.8.6    MEA

3.8.6.1   Data Protection Law DIFC Law No. 1 Of 2007

3.8.6.2   Cloud Computing Regulatory Framework

3.8.6.3   The Dubai Statistics Centre Law

3.8.6.4   The Electricity & Wiring Regulations

3.8.6.5   South African Bureau of Standards (SABS) and the Independent Communications Authority of South Africa (ICASA)

3.8.6.6   Essential Cybersecurity Controls (ECC)

3.9    Patent analysis

3.10    Investment portfolio

3.11    Key news and initiatives

3.11.1    North America

3.11.2    Europe

3.11.3    Asia Pacific

3.11.4    South America

3.11.5    MEA

3.12    Industry impact forces

3.12.1    Growth drivers

3.12.1.1    Increasing focus on improving business agility and reducing the operational cost of enterprise

3.12.1.2    Growing investments in R&D activities from the market players in North America

3.12.1.3    Rise in focus on digital transformation in the manufacturing sector in Asia Pacific and MEA

3.12.1.4    Focus on unified management of data centers in South America

3.12.1.5    Increase in emphasis on reducing the energy consumption from data centers in Europe

3.12.2    Industry pitfalls & challenges

3.12.2.1    Limited awareness related to virtualization technology

3.12.2.2    Increasing concerns regarding data security

3.13    Growth potential analysis

3.14    Porter’s analysis

3.14.1    Supplier power

3.14.2    Buyer power

3.14.3    Threat of new entrants

3.14.4    Threat of substitutes

3.14.5    Internal rivalry

3.15    PESTEL analysis

3.15.1    Political

3.15.2    Economical

3.15.3    Social

3.15.4    Technological

3.15.5    Legal

3.15.6    Environmental

Chapter 4   Competitive Landscape, 2021

4.1    Introduction

4.2    Market share analysis, 2021

4.3    Completive analysis of key market players, 2021

4.3.1    Microsoft Corporation

4.3.2    Amazon Web Services

4.3.3    Cisco Systems Inc.

4.3.4    IBM Corporation,

4.3.5    Dell Inc.

4.3.6    Huawei Technologies Co. Ltd

4.4    Completive analysis of innovative players, 2021

4.4.1    SAP SE

4.4.2    Nutanix

4.4.3    AT & T

4.4.4    Citrix Systems Inc.

4.4.5    VMWare Inc.

4.5    Vendor adoption matrix

4.6    Strategic Outlook Matrix

Chapter 5   Data Center Virtualization Market, By Type

5.1    Key trends, by type

5.2    Server virtualization

5.2.1    Market estimates and forecast, 2019-2030

5.3    Network virtualization

5.3.1    Market estimates and forecast, 2019-2030

5.4    Storage virtualization

5.4.1    Market estimates and forecast, 2019-2030

5.5    Application virtualization

5.5.1    Market estimates and forecast, 2019-2030

Chapter 6   Data Center Virtualization Market, by Service

6.1    Key trends, by service

6.2    Optimization services

6.2.1    Market estimates and forecast, 2019-2030

6.3    Consulting services

6.3.1    Market estimates and forecast, 2019-2030

6.4    Managed services

6.4.1    Market estimates and forecast, 2019-2030

6.5    Technical support services

6.5.1    Market estimates and forecast, 2019-2030

Chapter 7   Data Center Virtualization Market, By Application

7.1    Key trends, by application

7.2    BFSI

7.2.1    Market estimates and forecast, 2019-2030

7.3    Colocation

7.3.1    Market estimates and forecast, 2019-2030

7.4    Energy

7.4.1    Market estimates and forecast, 2019-2030

7.5    Government

7.5.1    Market estimates and forecast, 2019-2030

7.6    Healthcare

7.6.1    Market estimates and forecast, 2019-2030

7.7    Manufacturing

7.7.1    Market estimates and forecast, 2019-2030

7.8    IT & telecom

7.8.1    Market estimates and forecast, 2019-2030

7.9    Others

7.9.1    Market estimates and forecast, 2019-2030

Chapter 8   Data Center Virtualization Market, By Region

8.1    Key trends, by region

8.2    North America

8.2.1    Market estimates and forecast, 2019-2030

8.2.2    Market estimates and forecast, by type, 2019-2030

8.2.3    Market estimates and forecast, by service, 2019-2030

8.2.4    Market estimates and forecast, by application, 2019-2030

8.2.5    U.S.

8.2.5.1   Market estimates and forecast, 2019-2030

8.2.5.2   Market estimates and forecast, by type, 2019-2030

8.2.5.3   Market estimates and forecast, by service, 2019-2030

8.2.5.4   Market estimates and forecast, by application, 2019-2030

8.2.6    Canada

8.2.6.1   Market estimates and forecast, 2019-2030

8.2.6.2   Market estimates and forecast, by type, 2019-2030

8.2.6.3   Market estimates and forecast, by service, 2019-2030

8.2.6.4   Market estimates and forecast, by application, 2019-2030

8.2.7    Mexico

8.2.7.1   Market estimates and forecast, 2019-2030

8.2.7.2   Market estimates and forecast, by type, 2019-2030

8.2.7.3   Market estimates and forecast, by service, 2019-2030

8.2.7.4   Market estimates and forecast, by application, 2019-2030

8.3    Europe

8.3.1    Market estimates and forecast, 2019-2030

8.3.2    Market estimates and forecast, by type, 2019-2030

8.3.3    Market estimates and forecast, by service, 2019-2030

8.3.4    Market estimates and forecast, by application, 2019-2030

8.3.5    UK

8.3.5.1   Market estimates and forecast, 2019-2030

8.3.5.2   Market estimates and forecast, by type, 2019-2030

8.3.5.3   Market estimates and forecast, by service, 2019-2030

8.3.5.4   Market estimates and forecast, by application, 2019-2030

8.3.6    Germany

8.3.6.1   Market estimates and forecast, 2019-2030

8.3.6.2   Market estimates and forecast, by type, 2019-2030

8.3.6.3   Market estimates and forecast, by service, 2019-2030

8.3.6.4   Market estimates and forecast, by application, 2019-2030

8.3.7    France

8.3.7.1   Market estimates and forecast, 2019-2030

8.3.7.2   Market estimates and forecast, by type, 2019-2030

8.3.7.3   Market estimates and forecast, by service, 2019-2030

8.3.7.4   Market estimates and forecast, by application, 2019-2030

8.3.8    Spain

8.3.8.1   Market estimates and forecast, 2019-2030

8.3.8.2   Market estimates and forecast, by type, 2019-2030

8.3.8.3   Market estimates and forecast, by service, 2019-2030

8.3.8.4   Market estimates and forecast, by application, 2019-2030

8.3.9    Poland

8.3.9.1   Market estimates and forecast, 2019-2030

8.3.9.2   Market estimates and forecast, by type, 2019-2030

8.3.9.3   Market estimates and forecast, by service, 2019-2030

8.3.9.4   Market estimates and forecast, by application, 2019-2030

8.3.10    Benelux

8.3.10.1    Market estimates and forecast, 2019-2030

8.3.10.2    Market estimates and forecast, by type, 2019-2030

8.3.10.3    Market estimates and forecast, by service, 2019-2030

8.3.10.4    Market estimates and forecast, by application, 2019-2030

8.4    Asia Pacific

8.4.1    Market estimates and forecast, 2019-2030

8.4.2    Market estimates and forecast, by type, 2019-2030

8.4.3    Market estimates and forecast, by service, 2019-2030

8.4.4    Market estimates and forecast, by application, 2019-2030

8.4.5    China

8.4.5.1   Market estimates and forecast, 2019-2030

8.4.5.2   Market estimates and forecast, by type, 2019-2030

8.4.5.3   Market estimates and forecast, by service, 2019-2030

8.4.5.4   Market estimates and forecast, by application, 2019-2030

8.4.6    India

8.4.6.1   Market estimates and forecast, 2019-2030

8.4.6.2   Market estimates and forecast, by type, 2019-2030

8.4.6.3   Market estimates and forecast, by service, 2019-2030

8.4.6.4   Market estimates and forecast, by application, 2019-2030

8.4.7    Japan

8.4.7.1   Market estimates and forecast, 2019-2030

8.4.7.2   Market estimates and forecast, by type, 2019-2030

8.4.7.3   Market estimates and forecast, by service, 2019-2030

8.4.7.4   Market estimates and forecast, by application, 2019-2030

8.4.8    Singapore

8.4.8.1   Market estimates and forecast, 2019-2030

8.4.8.2   Market estimates and forecast, by type, 2019-2030

8.4.8.3   Market estimates and forecast, by service, 2019-2030

8.4.8.4   Market estimates and forecast, by application, 2019-2030

8.4.9    Australia

8.4.9.1   Market estimates and forecast, 2019-2030

8.4.9.2   Market estimates and forecast, by type, 2019-2030

8.4.9.3   Market estimates and forecast, by service, 2019-2030

8.4.9.4   Market estimates and forecast, by application, 2019-2030

8.4.10    Indonesia

8.4.10.1    Market estimates and forecast, 2019-2030

8.4.10.2    Market estimates and forecast, by type, 2019-2030

8.4.10.3    Market estimates and forecast, by service, 2019-2030

8.4.10.4    Market estimates and forecast, by application, 2019-2030

8.5    South America

8.5.1    Market estimates and forecast, 2019-2030

8.5.2    Market estimates and forecast, by type, 2019-2030

8.5.3    Market estimates and forecast, by service, 2019-2030

8.5.4    Market estimates and forecast, by application, 2019-2030

8.5.5    Brazil

8.5.5.1   Market estimates and forecast, 2019-2030

8.5.5.2   Market estimates and forecast, by type, 2019-2030

8.5.5.3   Market estimates and forecast, by service, 2019-2030

8.5.5.4   Market estimates and forecast, by application, 2019-2030

8.5.6    Colombia

8.5.6.1   Market estimates and forecast, 2019-2030

8.5.6.2   Market estimates and forecast, by type, 2019-2030

8.5.6.3   Market estimates and forecast, by service, 2019-2030

8.5.6.4   Market estimates and forecast, by application, 2019-2030

8.5.7    Chile

8.5.7.1   Market estimates and forecast, 2019-2030

8.5.7.2   Market estimates and forecast, by type, 2019-2030

8.5.7.3   Market estimates and forecast, by service, 2019-2030

8.5.7.4   Market estimates and forecast, by application, 2019-2030

8.5.8    Argentina

8.5.8.1   Market estimates and forecast, 2019-2030

8.5.8.2   Market estimates and forecast, by type, 2019-2030

8.5.8.3   Market estimates and forecast, by service, 2019-2030

8.5.8.4   Market estimates and forecast, by application, 2019-2030

8.6    MEA

8.6.1    Market estimates and forecast, 2019-2030

8.6.2    Market estimates and forecast, by type, 2019-2030

8.6.3    Market estimates and forecast, by service, 2019-2030

8.6.4    Market estimates and forecast, by application, 2019-2030

8.6.5    South Africa

8.6.5.1   Market estimates and forecast, 2019-2030

8.6.5.2   Market estimates and forecast, by type, 2019-2030

8.6.5.3   Market estimates and forecast, by service, 2019-2030

8.6.5.4   Market estimates and forecast, by application, 2019-2030

8.6.6    GCC

8.6.6.1   Market estimates and forecast, 2019-2030

8.6.6.2   Market estimates and forecast, by type, 2019-2030

8.6.6.3   Market estimates and forecast, by service, 2019-2030

8.6.6.4   Market estimates and forecast, by application, 2019-2030

Chapter 9   Company Profiles

9.1    Amazon Web Services

9.1.1    Business Overview

9.1.2    Financial Data

9.1.3    Product Landscape

9.1.4    Strategic Outlook

9.1.5    SWOT Analysis

9.2    AT&T

9.2.1    Business Overview

9.2.2    Financial Data

9.2.3    Product Landscape

9.2.4    Strategic Outlook

9.2.5    SWOT Analysis

9.3    Cisco Systems Inc.

9.3.1    Business Overview

9.3.2    Financial Data

9.3.3    Product Landscape

9.3.4    Strategic Outlook

9.3.5    SWOT Analysis

9.4    Citrix Systems Inc.

9.4.1    Business Overview

9.4.2    Financial Data

9.4.3    Product Landscape

9.4.4    Strategic Outlook

9.4.5    SWOT Analysis

9.5    Dell Inc.

9.5.1    Business Overview

9.5.2    Financial Data

9.5.3    Product Landscape

9.5.4    Strategic Outlook

9.5.5    SWOT Analysis

9.6    Fujitsu Ltd.

9.6.1    Business Overview

9.6.2    Financial Data

9.6.3    Product Landscape

9.6.4    Strategic Outlook

9.6.5    SWOT Analysis

9.7    HCL Technologies

9.7.1    Business Overview

9.7.2    Financial Data

9.7.3    Product Landscape

9.7.4    Strategic Outlook

9.7.5    SWOT Analysis

9.8    Hewlett Packard Enterprise

9.8.1    Business Overview

9.8.2    Financial Data

9.8.3    Product Landscape

9.8.4    Strategic Outlook

9.8.5    SWOT Analysis

9.9    Huawei Technologies Co. Ltd.

9.9.1    Business Overview

9.9.2    Financial Data

9.9.3    Product Landscape

9.9.4    Strategic Outlook

9.9.5    SWOT Analysis

9.10    IBM Corporation

9.10.1    Business Overview

9.10.2    Financial Data

9.10.3    Product Landscape

9.10.4    Strategic Outlook

9.10.5    SWOT Analysis

9.11    Microsoft Corporation

9.11.1    Business Overview

9.11.2    Financial Data

9.11.3    Product Landscape

9.11.4    Strategic Outlook

9.11.5    SWOT Analysis

9.12    Mindsight

9.12.1    Business Overview

9.12.2    Financial Data

9.12.3    Product Landscape

9.12.4    Strategic Outlook

9.12.5    SWOT Analysis

9.13    Nutanix

9.13.1    Business Overview

9.13.2    Financial Data

9.13.3    Product Landscape

9.13.4    Strategic Outlook

9.13.5    SWOT Analysis

9.14    Openstack

9.14.1    Business Overview

9.14.2    Financial Data

9.14.3    Product Landscape

9.14.4    Strategic Outlook

9.14.5    SWOT Analysis

9.15    Radiant Communications

9.15.1    Business Overview

9.15.2    Financial Data

9.15.3    Product Landscape

9.15.4    Strategic Outlook

9.15.5    SWOT Analysis

9.16    Red Hat inc.

9.16.1    Business Overview

9.16.2    Financial Data

9.16.3    Product Landscape

9.16.4    Strategic Outlook

9.16.5    SWOT Analysis

9.17    SAP SE

9.17.1    Business Overview

9.17.2    Financial Data

9.17.3    Product Landscape

9.17.4    Strategic Outlook

9.17.5    SWOT Analysis

9.18    VMWare Inc.

9.18.1    Business Overview

9.18.2    Financial Data

9.18.3    Product Landscape

9.18.4    Strategic Outlook

9.18.5    SWOT Analysis

Data Tables

TABLE 1    Data center virtualization industry 360º synopsis, 2018 – 2030

TABLE 2    Data center virtualization market, 2019 – 2021 (USD Million)

TABLE 3    Data center virtualization market, 2022 – 2030 (USD Million)

TABLE 4    Data center virtualization market, by type, 2019 – 2021 (USD Million)

TABLE 5    Data center virtualization market, by type, 2022 – 2030 (USD Million)

TABLE 6    Data center virtualization total addressable market, 2023 – 2030 (USD Million)

TABLE 7    Data center virtualization market, by service, 2019 – 2021 (USD Million)

TABLE 8    Data center virtualization market, by service, 2022 – 2030 (USD Million)

TABLE 9    Data center virtualization market, by application, 2019 – 2021 (USD Million)

TABLE 10    Data center virtualization market, by application, 2022 – 2030 (USD Million)

TABLE 11    Data center virtualization market, by region, 2019 – 2021 (USD Million)

TABLE 12    Data center virtualization market, by region, 2022-2030 (USD Million)

TABLE 13    Vendor matrix

TABLE 14    Industry impact forces

TABLE 15    Competitive players market share, 2021

TABLE 16    Server virtualization demand in data center virtualization market, 2019 – 2021 (USD Million)

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Market, By type

  • Server virtualization
  • Network virtualization
  • Storage virtualization
  • Application virtualization

Market, By service

  • Optimization services
  • Consulting services
  • Managed services
  • Technical support services

Market, By Application

  • BFSI
  • Colocation
  • Energy
  • Government
  • Healthcare
  • Manufacturing
  • IT & telecom
  • Others

 

Microsoft Corporation, Amazon Web Services, Cisco Systems Inc., IBM Corporation, Dell Inc., Huawei Technology, AT&T, Citrix Systems Inc., Nutanix, and SAP SE

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