Publication: Aug 2024
Report Type: Niche Report
Report Format: PDF DataSheet
Report ID: CCT15800 
  Pages: 110+
 

Canada 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  | 

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


  • With a 24.0% year-over-year increase, the cloud virtual private networks (VPNs) market size in Canada reached US$ 222.8 Million in 2023.
  • This projection indicates a compound annual growth rate of 16.3% during 2024 to 2032, the Canada cloud virtual private networks (VPNs) market size reaching US$ 922.3 Million by 2032.
  • In terms of spending, the site-to-site segment is anticipated to generate the highest revenue in 2032.
  • Within the Canadian cloud virtual private networks (VPNs) market, the BFSI sector is expected to dominate with a total revenue of US$ 187.8 Million by 2032.

Canada 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]