The global desktop virtualization market is projected to reach US$28.345 billion in 2022 increasing from US$6.276 billion in 2016 at a CAGR of 28.57%. Desktop Virtualization is a technology that separates an individual’s desktop environment from his personal computers application system. That is, hosting a virtualized desktop on a remote central server rather than hard drive of a personal computer, thus enabling flexibility and security. Other benefits of desktop virtualization include ability to run old applications, access virus-infected data, test software, upgrades, or new configurations, back up an entire operating system, create a personal cloud computer, make a backup of the server for emergencies, or reuse old hardware.
Factors driving growth in the market are increased digitization of processes, growing need for data security and applications availability, increasing competition in the IT space resulting in emphasis on cost cuts, and increasingly mobile workforce. Geographically, North America is expected to be the largest market for desktop virtualization, followed by Europe and Asia-Pacific. High growth in North America is anticipated owing to presence of large IT firms and high pace of process digitization.
This section provides an anatomy of the research process followed for calculating market size and forecasts along with a list of the secondary data sources used and the primary inputs which were taken for data validation. It also provides an outline of the various segmentations which have been covered as part of the report.
In this section, the entire market is explained along various drivers, restraints and opportunities which exist in the current market. This section of the report also provides supplier and industry outlook as a whole; key industry, global and regional regulations which are determining the market growth. Complete industry analysis has also been covered by Porter’s five forces model as a part of this report section.
The Desktop Virtualization market has been segmented by approach, technology, industry verticals and geography as below:
- Remote Hosted Desktop
- Remote Virtual Applications
- Remote Hosted Dedicated Virtual Desktops
- Local Virtual Applications
- Local Virtual OS
- Virtual Desktop Infrastructure
- Hosted Virtual Desktop
- Desktop Virtualization Servers
By Industry Verticals
- Communication and Technology
- North America
- South America
- Europe Middle East and Africa
- Middle East and Africa
- Asia Pacific
This Section deals with major players in the market, their market shares, products, growth strategies, financials, and recent investments among others. Key industry players in the Desktop Virtualization market are Citrix Systems, VMware, NComputing, and Moka5 among others.
2. Research Methodology
3. Executive Summary
4. Market Dynamics
4.1. Market Overview and Segmentation
4.5. Porter's Five Forces
4.6. Supplier Outlook
4.7. Industry Outlook
4.8. Industry Value Chain Analysis
4.9. Scenario Analysis
5. Desktop Virtualization Market Forecast by Approach (US$ Billion)
5.1. Remote Hosted Desktop
5.2. Remote Virtual Applications
5.3. Remote Hosted Dedicated Virtual Desktops
5.4. Local Virtual Applications
5.5. Local Virtual OS
6. Desktop Virtualization Market Forecast by Technology (US$ Billion)
6.1. Virtual Desktop Infrastructure
6.2. Hosted Virtual Desktop
6.3. Desktop Virtualization Servers
7. Desktop Virtualization Forecast by Industry Verticals (US$ Billion)
7.1. Communication and Technology
8. Desktop Virtualization Forecast by Geography (US$ Billion)
8.1.1. North America
8.1.2. South America
8.2. Europe Middle East and Africa
8.2.2. Middle East and Africa
8.3. Asia Pacific
9. Competitive Intelligence
9.1. Market Share Analysis
9.2. Investment Analysis
9.3. Recent Deals
9.4. Strategies of Key Players
10. Company Profiles
10.1. Citrix Systems
10.7. Dell Wyse
10.9. Cisco Systems
The research study is based on the publisher's proprietary research model. The process involves sourcing of information from various industry experts, key professionals, decision-makers and various other stakeholders along with the validation of the responses received from the vast in-house database and premium paid databases. Publicly available sources were also taken into consideration for the final market estimates and forecast for the segments and sub-segments.
The first phase of the research process is the identification of key industry leaders, experts, decision-makers and C-level executives and then conducting interviews and surveys to gain vital insights about the market. Simultaneously, extensive secondary research is done, and key secondary data is collected as part of this process. This secondary data is collected from various databases, industry journals, whitepapers, company annual reports, research publications, and other paid data sources and relevant literature. Company profiles which include strategies, new product developments, recent investments, major products and services, financials and business plans are sourced from the annual reports, SEC filings, industry associations to preserve the quality of the information being displayed. The findings from both the primary and the secondary research process combined go under further processing for market breakdown and forecasting.
The last phase is providing intelligence in the form of presentation, charts, graphics and other different formats helping the clients in a faster and efficient understanding of the market. Under this phase complete market engineering is involved which includes analyzing the collected data from different sources and existing proprietary datasets while using various data triangulation methods for market breakdown and forecasting. The publisher has developed their market forecasting methodology that, in addition to the main market values, also takes into account other macroeconomic factors (global or local) that might have some bearing on the market under study. Taking all the necessary data, a robust forecast is developed using an algorithm that involves both static (multivariate) as well as dynamic (time-series) regression analysis. Special care is taken to make sure their algorithm passes the necessary statistical tests, and the mean prediction for future years obtained is reliable with a very high confidence level. Following data validation, the analysts begin to write the report presenting insights with the help of charts, graphs, and tables.