Publication: July 2024
Report Type: Niche Report
Report Format: PDF DataSheet
Report ID: CCT1586 
  Pages: 110+
 

US Virtual Machine Market Analysis, Size, and Forecast by Type, Deployment Model, Industry, Organization Size, Use Cases, and Optical System: 2019-2032

Report Format: PDF DataSheet |   Pages: 110+  

 July 2024  | 

US Virtual Machine Market Growth and Performance


  • US Virtual Machine Market Growth and Performance
  • In 2023, the US virtual machine market size represented US$ 3.95 Billion, grew by 19.6% compared to previous year.
  • This market is projected to register a compound annual growth rate (CAGR) of 13.3% from 2024 to 2032, resulting in a forecasted market value of US$ 12.73 Billion by the end of 2032.
  • When compared at a segmental level, in the US, general purpose VMS segment generated the highest revenue in 2023.
  • In the US virtual machine market, the largest end user sector will be enterprise applications, with a projected market value of US$ 2.62 Billion by 2032.

US Virtual Machine Market Scope

Analysis Period

2019-2032

Actual Data

2019-2023

Base Year

2024

Estimated Year

2024

CAGR Period

2024-2032

 

Research Scope

Type

General Purpose VM

Compute Optimized VM

Memory Optimized VM

Storage Optimized VM

GPU Accelerated VM

High Performance Computing (HPC) VM

Deployment Model

Public Clou

Private Clou

Hybrid Clou

Industry

IT and Telecom

Media and Entertainment

Energy and Power

Transportation and Logistics

Healthcare

BFSI

Retail

Manufacturing

Public Sector

Other

Organization Size

Large Enterprise

Mid Enterprise

Small Enterprise

Use Cases

 Development and Testin

 Web and Mobile Application

 Big Data Analytic

 Artificial Intelligence and Machine Learnin

 Disaster Recover

 Enterprise Application

 Database Managemen

 Virtual Desktop

 Gamin

Operating System

 Windows VM

 Linux VM

 Other OS VM



*Research Methodology: This report is based on DataCube’s proprietary 3-stage forecasting model, combining primary research, secondary data triangulation, and expert validation. [Learn more]