The NFVO Product and its Profiles

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?

Kaustubha Parkhi Principal Analyst, Insight Research

RELATED BLOGS

AI burden in RAN – 5G Wins!

Posted: February 17, 2024

      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!

Decoding the RAN coding conundrum – with AI!

Posted: March 3, 2024

      How important is coding in the RAN? The answer, “very important” is not going to win you any awards, as it is a no-brainer! Coding is not just about data representation; it’s about optimizing data flow, enhancing error correction, and ensuring robustness in diverse network conditions. Let us look at a very … Continue reading Decoding the RAN coding conundrum – with AI!

What Drives AI in Network Optimization Globally?

Posted: April 2, 2024

      Let us come straight to the point. RAN shipments data recorded globally by several sources reveals the CAGR to be in single digits. Insight Research, on the other hand, pegs the growth for addressable market for AI in RAN in healthy double-digits. What explains the apparent dichotomy? Well, the answer is very … Continue reading What Drives AI in Network Optimization Globally?