The NFVO Product and its Profiles

 


 

Taxonomy of the NFVO Market by Product Profile in its report "The VNFO... Ripe for Change"​

 

Insight Research, in its recent report “The VNFO…Ripe for change” has broken down the market by product profile. We consider two profile categories – Direct Open Source and Proprietary.

Let us look closely at the categories.

Insight Research has a very categorical definition for direct open source NFVOs - those that traverse the development journey directly from the open source community to the end-user. Thus open source offering that are internalized by OEMs and offered as proprietary NFVOs are not covered under direct open source.

Open source initiatives have played a pivotal role in the journey of the orchestrator. ONAP, OSM, Nephio and Kubernetes are some of the prominent contributions of the open source community to the VNFO development; and have been therefore profiled at length in the report.

What then is ‘direct’ open source?

Open source initiatives have been utilized by various stakeholders in different ways. While in some cases have been used “as-is”; they have also been internalized into proprietary products in totality or in parts.

‘Direct’ open source refers to situations where the open source output has been used “as-is”.

Proprietary initiatives on the other hand, could have been developed ground up by their respective principals or could have absorbed some of the open-source output along the way. In both cases, the product has been sold as proprietary.

What are your thoughts on this characterization?

 

Published on: January 29, 2023

 
Kaustubha Parkhi
Principal Analyst, Insight Research
 

 

RELATED BLOGS

Be careful with microservices!

    Of late, cloud native network functions (CNF) have been gaining steady traction. We tracked the market for CNFs in our report Containers and Telcos – Ready to Tango? The market prospects for CNFs are very bright, with a compounded annual growth rate (CAGR) in excess of 50%! 5G and its cloud-native push is … Continue reading Be careful with microservices!
Cohere Technologies harnesses AI to process delay and doppler info from the RAN for channel management

AI, RAN and Delay-Doppler – How Cohere does it

      Agreed. The title has too many nouns! Each of the nouns is important though, as we will find out. Allow me to explain. So this article is a profile of Cohere Technologies. Cohere features in our report “AI and RAN – How fast will they run”. As you would now guess, Cohere … Continue reading AI, RAN and Delay-Doppler – How Cohere does it

AI burden in RAN – 5G Wins!

      Does 5G wear the AI burden more lightly in the RAN than earlier ‘older’ generations? Most certainly! We aver in our upcoming report, “AI ML and DL in the Mobile Core”. To be sure, there was no shortage of motivation for the usage of AI in 4G, or for that matter ANY … Continue reading AI burden in RAN – 5G Wins!

Select your currency
USD United States (US) dollar