Network functions virtualization is a network architecture concept that uses the technologies of IT virtualization to virtualize entire classes of network node functions into building blocks that may connect, or chain together, to create communication services.
The main driving factors for the Software Defined Networking Market are the increasing evolution and demand in mobility, the increased network complexity and varied traffic pattern, and the surge in demand for cloud service, data center consolidation, and server virtualization.
In 2018, the global Network Functions Virtualization market size was xx million US$ and it is expected to reach xx million US$ by the end of 2025, with a CAGR of xx% during 2019-2025.
This report focuses on the global Network Functions Virtualization status, future forecast, growth opportunity, key market and key players. The study objectives are to present the Network Functions Virtualization development in United States, Europe and China.
The key players covered in this study
Brocade Communications Systems
Big Switch Networks
Market segment by Type, the product can be split into
Market segment by Application, split into
Cloud Service Providers
Telecommunication service Providers
Market segment by Regions/Countries, this report covers
Central & South America
The study objectives of this report are:
To analyze global Network Functions Virtualization status, future forecast, growth opportunity, key market and key players.
To present the Network Functions Virtualization development in United States, Europe and China.
To strategically profile the key players and comprehensively analyze their development plan and strategies.
To define, describe and forecast the market by product type, market and key regions.
In this study, the years considered to estimate the market size of Network Functions Virtualization are as follows:
History Year: 2014-2018
Base Year: 2018
Estimated Year: 2019
Forecast Year 2019 to 2025
For the data information by region, company, type and application, 2018 is considered as the base year. Whenever data information was unavailable for the base year, the prior year has been considered.