x
  • Search Result for

Publication: Aug 2024
Report Type: Niche Report
Report Format: PDF DataSheet
Report ID: CCT15799 
  Pages: 110+  

US Cloud Virtual Private Networks (VPNs) Market Size and Forecast by Connectivity Type, Deployment Model, Industry, Organization Size, Technology, Service Model, and Provider Type: 2019-2032

Report Format: PDF DataSheet |   Pages: 110+  

 Aug 2024  | 

US Cloud Virtual Private Networks (VPNs) Market Growth and Performance

  • In 2023, the US cloud virtual private networks (VPNs) market size represented US$ 5.48 Billion, grew by 20.1% compared to previous year.
  • This market is projected to register a compound annual growth rate (CAGR) of 13.7% from 2024 to 2032, resulting in a forecasted market value of US$ 18.12 Billion by the end of 2032.
  • When compared at a segmental level, in the US, site-to-site segment generated the highest revenue in 2023.
  • In the US cloud virtual private networks (VPNs) market, the largest end user sector will be BFSI, with a projected market value of US$ 3.70 Billion by 2032.

US Cloud Virtual Private Networks (VPNs) Market Scope

Analysis Period

2019-2032

Actual Data

2019-2023

Base Year

2024

Estimated Year

2024

CAGR Period

2024-2032
 

Research Scope

Connectivity Type

Site-to-Sit

Remote Acces

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

Technology

IPsec (Internet Protocol Security)

SSL/TLS (Secure Sockets Layer/Transport Layer Security)

MPLS (Multiprotocol Label Switching)

L2TP (Layer 2 Tunneling Protocol)

Service Model

Software-as-a-Service (SaaS) VP

Infrastructure-as-a-Service (IaaS) VP

Platform-as-a-Service (PaaS) VP

Provider Type

Telecom Provider

Dedicated VPN Service Provider

Cloud Service Provider


*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]