Why did Nokia acquire Juniper's RAN Intelligence and team?

You might have seen the headlines, Nokia announced on October 2nd the acquisition of Juniper Networks' RAN Intelligence team.

If you are not fully familiar with the space, here is a little perspective on this announcement and its impact on the market.

Juniper Networks had long looked to expand its footprint in operators networks beyond pure networking. Particularly, the RAN was a domain that was growing and of significant importance as it traditionally consumes up to 80% of the Capital Expenditure of a new telecom generation. It would have been costly and long to start an organic product development in the RAN radio or software (CU / DU) so the company smartly opted to attack a greenfield environment: the Open RAN RAN Intelligent Controller (RIC) space.

There are different flavours of RIC and Juniper selected the "easiest" and least controversial to start with, the non real time RIC. The company licensed source code from Turkcel's Netsia subsidiary and started development in 2021. The non RT RIC represents the evolution of Self Organizing Networks (SON), Element Management Systems (EMS) and of traditional Operational Support Systems (OSS). OSS is a market segment that has been dominated by AMDOCS and Netcracker, and represented two great opportunities for new entrants and traditional telco vendors:

1. A 20+ billion $ market segment that is ripe for disruption (entrenched legacy vendors, aging, proprietary technology, emerging cloud native standards and interfaces)
2. An "easy" entry into the (open) RAN market segment, with high control value, without having to develop the expensive, risky and difficult bits (radios and radio software). 

Juniper Networks executed beautifully and even became an early leader in the RAN intelligence ecosystem in 2023. The market looked at this point like it was going to favour independent generalists such as Juniper and VMWare for early commercial launches, but HPE announced its acquisition of Juniper and Broadcom its acquisition of VMWare and the market took a pause to reconsider its options, unsure of HPE's and Broadcom's commitment to this space.

Meanwhile, traditional telecom vendors have caught up and Ericsson, Nokia, Samsung have announced different offering in the space. Nokia's strategy, in my mind wasn't very competitive, opting for near RT RIC rather than non RT RIC to start with. I have expanded my perspective on the market opportunity here. 

With the acquisition of Juniper Network's RAN intelligence team and technology, Nokia is reinforcing its product offering with a leading technology team. It will be interesting to see how much progress has been made since the HPE's acquisition and how much effort will be necessary to integrate the capabilities within the larger Nokia product portfolio.

HPE acquires Juniper Networks

On January 8, the first rumors started to emerge that HPE was entering final discussions to acquire Juniper Networks for $13b. By January 9th, HPE announced that they have entered into a definitive agreement for the acquisition.

Juniper Networks, known for its high-performance networking equipment, has been a significant player in the networking and telecommunications sector. It specializes in routers, switches, network management software, network security products, and software-defined networking technology. HPE, on the other hand, has a broad portfolio that includes servers, storage, networking, consulting, and support services.

 The acquisition of Juniper Networks by HPE could be a strategic move to strengthen HPE’s position in the networking and telecommunications sector, diversify its product offerings, and enhance its ability to compete with other major players in the market such as Cisco.

Most analysis I have read so far have pointed out AIOps and Mist AI as the core thesis for acquisition, enabling HPE to bridge the gap between equipment vendor and solution vendor, particularly in the Telco space.

While this is certainly an aspect of the value that Juniper Networks would provide to HPE, I believe that the latest progress from Juniper Networks in Telco beyond transport, particularly as an early leader in the emerging field of RAN Intelligence and SMO (Service Management and Orchestration) was a key catalyst in HPE's interest.

After all, Juniper Networks has been a networking specialist and leader for a long time, from SDN, SD WAN, Optical to data center, wired and wireless networks. While the company has been making great progress there, gradually virtualizing  and cloudifying its routers, firewalls and gateway functions, no revolutionary technology has emerged there until the application of Machine Learning and predictive algorithms to the planning, configuration, deployment and management of transport networks.

What is new as well, is Juniper Networks' efforts to penetrate the telco functions domains, beyond transport. The key area ready for disruption has been the Radio Access Network (RAN), specifically with Open RAN becoming an increasingly relevant industry trend to pervade networks architecture, culminating with AT&T's selection of Ericsson last month to deploy Open RAN for $14B.

Open RAN offers disaggregation of the RAN, with potential multivendor implementations, benefitting from open standard interfaces. Juniper Networks, not a traditional RAN vendor, has been quick to capitalize on its AIOps expertise by jumping on the RAN Intelligence marketspace, creating one of the most advanced RAN Intelligent Controller (RIC) in the market and aggressively integrating with as many reputable RAN vendors as possible. This endeavor, opening up the multi billion $ RAN and SMO markets is pure software and heavily biased towards AI/ML for automation and prediction.

HPE has been heavily investing in the telco space of late, becoming a preferred supplier of Telco CaaS and Cloud Native Functions (CNF) physical infrastructures. What HPE has not been able to do, is creating software or becoming a credible solutions provider / integrator. The acquisition of Juniper Networks could help solve this. Just like Broadcom's acquisition of VMWare (another early RAN Intelligence leader), or Cisco's acquisition of Accedian, hardware vendors yearn to go up the value chain by acquiring software and automation vendors, giving them the capacity to provide integrated end to end solutions and to achieve synergies and economy of scale through vertical integration.

The playbook is not new, but this potential acquisition could signal a consolidation trend in the telecommunications and networking industry, suggesting a more competitive landscape with fewer but larger players. This could have far-reaching implications for customers, suppliers, and competitors alike.

Announcing telco edge computing and hybrid cloud report 2020

As I am ramping up towards the release of my latest report on telco edge computing and hybrid cloud, I will be releasing some previews. Please contact me privately for availability date, price and conditions.

In the 5 years since I published my first report on the edge computing market, it has evolved from an obscure niche to a trendy buzzword. What originally started as a mobile-only technology, has evolved into a complex field, with applications in IT, telco, industry and clouds. While I have been working on the subject for 6 years, first as an analyst, then as a developer and network operator at Telefonica, I have noticed that the industry’s perception of the space has polarized drastically with each passing year.

The idea that telecom operators could deploy and use a decentralized computing fabric throughout their radio access has been largely swept aside and replaced by the inexorable advances in cloud computing, showing a capacity to abstract decentralized computing capacity into a coherent, easy to program and consume data center as a service model.

As often, there are widely diverging views on the likely evolution of this model:

The telco centric view

Edge computing is a natural evolution of telco networks. 
5G necessitates robust fibre based backhaul transport.With the deployment of fibre, it is imperative that the old copper commuting centers (the central offices) convert towards multi-purposes mini data centers. These are easier and less expensive to maintain than their traditional counterpart and offer interesting opportunities to monetize unused capacity.

5G will see a new generation of technology providers that will deploy cloud native software-defined functions that will help deploy and manage computing capabilities all the way to the fixed and radio access network.

Low-risk internal use cases such as CDN, caching, local breakout, private networks, parental control, DDOS detection and isolation, are enough to justify investment and deployment. The infrastructure, once deployed, opens the door to more sophisticated use cases and business models such as low latency compute as a service, or wholesale high performance localized compute that will extend the traditional cloud models and services to a new era of telco digital revenues.

Operators have long run decentralized networks, unlike cloud providers who favour federated centralized networks, and that experience will be invaluable to administer and orchestrate thousands of mini centers.

Operators will be able to reintegrate the cloud value chain through edge computing, their right-to-play underpinned by the control and capacity to program the last mile connectivity and the fact that they will not be over invested by traditional public clouds in number and capillarity of data centers in their geography (outside of the US).

With its long-standing track record of creating interoperable decentralized networks, the telco community will create a set of unifying standards that will make possible the implementation of an abstraction layer across all telco to sell edge computing services irrespectively of network or geography.

Telco networks are managed networks, unlike the internet, they can offer a programmable and guaranteed quality of service. Together with 5G evolution such as network slicing, operators will be able to offer tailored computing services, with guaranteed speed, volume, latency. These network services will be key to the next generation of digital and connectivity services that will enable autonomous vehicles, collaborating robots, augmented reality and pervasive AI assisted systems.

The cloud centric view:

Edge computing, as it turns out is less about connectivity than cloud, unless you are able to weave-in a programmable connectivity. 

Many operators have struggled with the creation and deployment of a telco cloud, for their own internal purposes or to resell cloud services to their customers. I don’t know of any operator who has one that is fully functional, serving a large proportion of their traffic or customers, and is anywhere as elastic, economic, scalable and easy to use as a public cloud.

So, while the telco industry has been busy trying to develop a telco edge compute infrastructure, virtualization layer and platform, the cloud providers have just started developing decentralized mini data centers for deployment in telco networks.

In 2020, the battle to decide whether edge computing is more about telco or about cloud is likely already finished, even if many operators and vendors are just arming themselves now.

Edge computing, to be a viable infrastructure-based service that operators can resell to their customers needs a platform, that allows third party to discover, view, reserve and consume it on a global scale, not operator per operator, country per country, and it looks like the telco community is ill-equipped for a fast deployment of that nature.

Whether you favour one side or the other of that argument, the public announcements in that space of AT&T, Amazon Web Services, Deutsche Telekom, Google, Microsoft, Telefonica, Vapour.io and Verizon – to name a few –will likely convince you that edge computing is about to become a reality.

This report analyses the different definitions and flavours of edge computing, the predominant use cases and the position and trajectory of the main telco operators, equipment manufacturers and cloud providers.