Virtual Machines (VM) - Global Market Share and Ranking, Overall Sales and Demand Forecast 2024-2030

Publication ID:

PB504240738

Publication Date:

April 8, 2024

Pages:

111

Publisher:

MRRPB5

Countries:

Global [1]

USD 3,950.00

Internet [2]

Computing & Electronics [3]

Description:

In computing, a virtual machine (VM) is a simulation of a computer system. Virtual machines are based on computer architecture and provide the functionality of a physical computer. Their implementation may involve dedicated hardware, software, or a combination thereof.
The global market for Virtual Machines (VM) was estimated to be worth US$ 3750 million in 2023 and is forecast to a readjusted size of US$ 4591.7 million by 2030 with a CAGR of 2.9% during the forecast period 2024-2030
The United States is the largest market, and China is the region with rapid growth.The top three companies, VMware, IBM and Huawei, have 80% of the market share.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Virtual Machines (VM), focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Virtual Machines (VM) by region & country, by Type, and by Application.
The Virtual Machines (VM) market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. With both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Virtual Machines (VM).
Market Segmentation
By Company
VMware
IBM
Huawei
Hewlett Packard Enterprise
Oracle
Citrix
Microsoft
H3C
Red Hat
Inspur
Easted
Winhong
Segment by Type:
System Virtual Machines
Process Virtual Machines
Segment by Application
Small Scale Enterprises
Medium Scale Enterprises
Large Scale Enterprises
By Region
North America
U.S.
Canada
Europe
Germany
France
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America
Mexico
Brazil
Argentina
Middle East & Africa
Turkey
Saudi Arabia
UAE
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of Virtual Machines (VM) manufacturers competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 4: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 5: Revenue of Virtual Machines (VM) in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of Virtual Machines (VM) in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 Market Overview
1.1 Virtual Machines (VM) Product Introduction
1.2 Global Virtual Machines (VM) Market Size Forecast
1.3 Virtual Machines (VM) Market Trends & Drivers
1.3.1 Virtual Machines (VM) Industry Trends
1.3.2 Virtual Machines (VM) Market Drivers & Opportunity
1.3.3 Virtual Machines (VM) Market Challenges
1.3.4 Virtual Machines (VM) Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Virtual Machines (VM) Players Revenue Ranking (2023)
2.2 Global Virtual Machines (VM) Revenue by Company (2019-2024)
2.3 Key Companies Virtual Machines (VM) Manufacturing Base Distribution and Headquarters
2.4 Key Companies Virtual Machines (VM) Product Offered
2.5 Key Companies Time to Begin Mass Production of Virtual Machines (VM)
2.6 Virtual Machines (VM) Market Competitive Analysis
2.6.1 Virtual Machines (VM) Market Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by Virtual Machines (VM) Revenue in 2023
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Virtual Machines (VM) as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 System Virtual Machines
3.1.2 Process Virtual Machines
3.2 Global Virtual Machines (VM) Sales Value by Type
3.2.1 Global Virtual Machines (VM) Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global Virtual Machines (VM) Sales Value, by Type (2019-2030)
3.2.3 Global Virtual Machines (VM) Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Small Scale Enterprises
4.1.2 Medium Scale Enterprises
4.1.3 Large Scale Enterprises
4.2 Global Virtual Machines (VM) Sales Value by Application
4.2.1 Global Virtual Machines (VM) Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global Virtual Machines (VM) Sales Value, by Application (2019-2030)
4.2.3 Global Virtual Machines (VM) Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global Virtual Machines (VM) Sales Value by Region
5.1.1 Global Virtual Machines (VM) Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global Virtual Machines (VM) Sales Value by Region (2019-2024)
5.1.3 Global Virtual Machines (VM) Sales Value by Region (2025-2030)
5.1.4 Global Virtual Machines (VM) Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America Virtual Machines (VM) Sales Value, 2019-2030
5.2.2 North America Virtual Machines (VM) Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe Virtual Machines (VM) Sales Value, 2019-2030
5.3.2 Europe Virtual Machines (VM) Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific Virtual Machines (VM) Sales Value, 2019-2030
5.4.2 Asia Pacific Virtual Machines (VM) Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America Virtual Machines (VM) Sales Value, 2019-2030
5.5.2 South America Virtual Machines (VM) Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa Virtual Machines (VM) Sales Value, 2019-2030
5.6.2 Middle East & Africa Virtual Machines (VM) Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Virtual Machines (VM) Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions Virtual Machines (VM) Sales Value
6.3 United States
6.3.1 United States Virtual Machines (VM) Sales Value, 2019-2030
6.3.2 United States Virtual Machines (VM) Sales Value by Type (%), 2023 VS 2030
6.3.3 United States Virtual Machines (VM) Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe Virtual Machines (VM) Sales Value, 2019-2030
6.4.2 Europe Virtual Machines (VM) Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe Virtual Machines (VM) Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China Virtual Machines (VM) Sales Value, 2019-2030
6.5.2 China Virtual Machines (VM) Sales Value by Type (%), 2023 VS 2030
6.5.3 China Virtual Machines (VM) Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan Virtual Machines (VM) Sales Value, 2019-2030
6.6.2 Japan Virtual Machines (VM) Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan Virtual Machines (VM) Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea Virtual Machines (VM) Sales Value, 2019-2030
6.7.2 South Korea Virtual Machines (VM) Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea Virtual Machines (VM) Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia Virtual Machines (VM) Sales Value, 2019-2030
6.8.2 Southeast Asia Virtual Machines (VM) Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia Virtual Machines (VM) Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India Virtual Machines (VM) Sales Value, 2019-2030
6.9.2 India Virtual Machines (VM) Sales Value by Type (%), 2023 VS 2030
6.9.3 India Virtual Machines (VM) Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 VMware
7.1.1 VMware Profile
7.1.2 VMware Main Business
7.1.3 VMware Virtual Machines (VM) Products, Services and Solutions
7.1.4 VMware Virtual Machines (VM) Revenue (US$ Million) & (2019-2024)
7.1.5 VMware Recent Developments
7.2 IBM
7.2.1 IBM Profile
7.2.2 IBM Main Business
7.2.3 IBM Virtual Machines (VM) Products, Services and Solutions
7.2.4 IBM Virtual Machines (VM) Revenue (US$ Million) & (2019-2024)
7.2.5 IBM Recent Developments
7.3 Huawei
7.3.1 Huawei Profile
7.3.2 Huawei Main Business
7.3.3 Huawei Virtual Machines (VM) Products, Services and Solutions
7.3.4 Huawei Virtual Machines (VM) Revenue (US$ Million) & (2019-2024)
7.3.5 Hewlett Packard Enterprise Recent Developments
7.4 Hewlett Packard Enterprise
7.4.1 Hewlett Packard Enterprise Profile
7.4.2 Hewlett Packard Enterprise Main Business
7.4.3 Hewlett Packard Enterprise Virtual Machines (VM) Products, Services and Solutions
7.4.4 Hewlett Packard Enterprise Virtual Machines (VM) Revenue (US$ Million) & (2019-2024)
7.4.5 Hewlett Packard Enterprise Recent Developments
7.5 Oracle
7.5.1 Oracle Profile
7.5.2 Oracle Main Business
7.5.3 Oracle Virtual Machines (VM) Products, Services and Solutions
7.5.4 Oracle Virtual Machines (VM) Revenue (US$ Million) & (2019-2024)
7.5.5 Oracle Recent Developments
7.6 Citrix
7.6.1 Citrix Profile
7.6.2 Citrix Main Business
7.6.3 Citrix Virtual Machines (VM) Products, Services and Solutions
7.6.4 Citrix Virtual Machines (VM) Revenue (US$ Million) & (2019-2024)
7.6.5 Citrix Recent Developments
7.7 Microsoft
7.7.1 Microsoft Profile
7.7.2 Microsoft Main Business
7.7.3 Microsoft Virtual Machines (VM) Products, Services and Solutions
7.7.4 Microsoft Virtual Machines (VM) Revenue (US$ Million) & (2019-2024)
7.7.5 Microsoft Recent Developments
7.8 H3C
7.8.1 H3C Profile
7.8.2 H3C Main Business
7.8.3 H3C Virtual Machines (VM) Products, Services and Solutions
7.8.4 H3C Virtual Machines (VM) Revenue (US$ Million) & (2019-2024)
7.8.5 H3C Recent Developments
7.9 Red Hat
7.9.1 Red Hat Profile
7.9.2 Red Hat Main Business
7.9.3 Red Hat Virtual Machines (VM) Products, Services and Solutions
7.9.4 Red Hat Virtual Machines (VM) Revenue (US$ Million) & (2019-2024)
7.9.5 Red Hat Recent Developments
7.10 Inspur
7.10.1 Inspur Profile
7.10.2 Inspur Main Business
7.10.3 Inspur Virtual Machines (VM) Products, Services and Solutions
7.10.4 Inspur Virtual Machines (VM) Revenue (US$ Million) & (2019-2024)
7.10.5 Inspur Recent Developments
7.11 Easted
7.11.1 Easted Profile
7.11.2 Easted Main Business
7.11.3 Easted Virtual Machines (VM) Products, Services and Solutions
7.11.4 Easted Virtual Machines (VM) Revenue (US$ Million) & (2019-2024)
7.11.5 Easted Recent Developments
7.12 Winhong
7.12.1 Winhong Profile
7.12.2 Winhong Main Business
7.12.3 Winhong Virtual Machines (VM) Products, Services and Solutions
7.12.4 Winhong Virtual Machines (VM) Revenue (US$ Million) & (2019-2024)
7.12.5 Winhong Recent Developments
8 Industry Chain Analysis
8.1 Virtual Machines (VM) Industrial Chain
8.2 Virtual Machines (VM) Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.2.3 Manufacturing Cost Structure
8.3 Midstream Analysis
8.4 Downstream Analysis (Customers Analysis)
8.5 Sales Model and Sales Channels
8.5.1 Virtual Machines (VM) Sales Model
8.5.2 Sales Channel
8.5.3 Virtual Machines (VM) Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.2 Data Source
10.2 Author Details
10.3 Disclaimer

Companies Mentioned:

VMware
IBM
Huawei
Hewlett Packard Enterprise
Oracle
Citrix
Microsoft
H3C
Red Hat
Inspur
Easted
Winhong

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