Telco cloud: short-term pain, long-term gain

Telcos have invested in telco cloud for several years: Where’s the RoI?

Over a number of years – starting in around 2014, and gathering pace from 2016 onwards – telcos have invested a large amount of money and effort on the development and deployment of their ‘telco cloud’ infrastructure, virtualised network functions (VNFs), and associated operations: long enough to expect to see measurable returns. As we set out later in this report, operators initially hoped that virtualisation would make their networks cheaper to run, or at least that it would prevent the cost of scaling up their networks to meet surging demand from spiralling out of control. The assumption was that buying commercial off-the-shelf (COTS) hardware and running network functions as software over it would work out less costly than buying proprietary network appliances from the vendors. Therefore, all things being equal, virtualisation should have translated into lower opex and capex.

However, when scrutinising operators’ reported financials over the past six years, it is impossible to determine whether this has been the case or not:

  • First, the goalposts are constantly shifting in the telecoms world, especially in recent years when massive 5G and fibre roll-outs have translated into substantial capex increases for many operators. But this does not mean that what they buy is more (or less) expensive per unit, just that they need more of it.
  • Most virtualisation effort has gone into core networks, which do not represent a large proportion of an operator’s cost base. In fact, overall expenditure on the core is dwarfed by what needs to be spent on the fixed and mobile access networks. As a ballpark estimate, for example, the Radio Access Network (RAN) represents 60% of mobile network capex.
  • Finally, most large telco groups are integrated operators that report capex or opex (or both) for their fixed and mobile units as a whole; this makes it even more difficult to identify any cost savings related to mobile core or any other virtualisation.

For this reason, when STL Partners set out to assess the economic benefit of virtualisation in the first half of 2022, it quickly became apparent that the only way to do this would be through talking directly to telcos’ CTOs and principal network engineers, and to those selling virtualisation solutions to them. Accordingly, STL Partners carried out an intensive interview programme among leading operators and vendors to find out how they quantify the benefits, financial or otherwise, from telco cloud.

What emerged was a complex and nuanced picture: while telcos struggle to demonstrate RoI from their network cloudification activities to date, many other benefits have accrued, and telcos are growing in their conviction that further cloudification is essential to meet the business, innovation and technology challenges that lie ahead – many of which cannot (yet) be quantified.

The people we spoke to comprised senior, programme-leading engineers, executives and strategists from eight operators and five vendors.

The operators concerned included: four Tier-1 players, three Tier-2 and one Tier-3. These telcos were also evenly split across the three deployment pathways explained below: two Pathway 1 (single-vendor/full-stack); three Pathway 2 (vendor-supported best-of-breed); and three Pathway 3 (DIY best-of-breed).

Four of the vendors interviewed were leading global providers of telco cloud platforms, infrastructure and integration services, and one was a challenger vendor focused on the 5G Standalone (SA) core. The figure below represents the geographical distribution of our interviewees, both telcos and vendors. Although we lacked interviewees from the APAC region and did not gain access to any Chinese operators, we were able to gain some regional insight through interviewing a new entrant in one of the major Asian markets.

Geographical distribution of STL Partners’ telco cloud benefit survey

 

Source: STL Partners

Virtualisation will go through three phases, corresponding to three deployment pathways

This process of telco cloudification has already gone through two phases and is entering a third phase, as illustrated below and as decribed in our Telco Cloud Manifesto, published in March 2021:

Phases of telco cloudification

Source: STL Partners

Effectively, each of these phases represents an approximately three to five-year investment cycle. Telcos have begun these investments at different times: Tier-1 telcos are generally now in the midst of their Phase 2 investments. By contrast, Tier-2s and -3s, smaller MNOs, and Tier-1s in developing markets are generally still going through their initial, Phase 1 investments in virtualisation.

Given that the leading Tier-1 players are now well into their second virtualisation investment cycle, it seems reasonable to expect that they would be able to demonstrate a return on investment from the first phase. This is particularly apt in that telcos entered into the first phase – Network Functions Virtualisation (NFV) – with the specific goal of achieving quantifiable financial and operational benefits, such as:

  • Reduction in operational and capital expenditures (opex and capex), resulting from the ability to deliver and run NFs from software running on COTS hardware (cheaper per unit, but also more likely to attract economies of scale), rather than from expensive, dedicated equipment requiring ongoing, vendor-provided support, maintenance and upgrades
  • Greater scalability and resource efficiency, resulting from the ability to dynamically increase or decrease the capacity of network-function Virtual Machines (VMs), or to create new instances of them to meet fluctuating network capacity and throughput requirements, rather than having to purchase and maintain over-specified, redundant physical appliances and facilities to guarantee the same sort of capacity and resilience
  • Generation of new revenue streams, resulting from the ability that the software-centricity of virtualised networks provides to rapidly innovate and activate services that more closely address customer needs.

Problem: With a few exceptions, telcos cannot demonstrate RoI from virtualisation

Some of the leading telco advocates of virtualisation have claimed variously to have achieved capex and/or opex reductions, and increases in top-line revenues, thanks to their telco cloud investments. For example, in January 2022, it was reported that some technical modelling had vindicated the cost-reduction claims of Japanese greenfield, ‘cloud-native’ operator Rakuten Mobile: it showed that Rakuten’s capex per cell site was around 40% lower, and its opex 30% lower, than the MNO incumbents in the same market. Some of the savings derived from automation gains related to virtualisation, allowing cell sites to be activated and run remotely on practically a ‘plug and play’ basis.

Similarly, Vodafone claimed in 2020 that it had reduced the cost of its mobile cores by 50% by running them as VNFs on the VMware telco cloud platform.

The problem is that the few telcos that are willing to quantify the success of their virtualisation programmes in this way are those that have championed telco cloud most vocally. And these telcos have also gone further and deeper with cloudification than the greater mass of the industry, and are now pushing on with Phase 3 virtualisation: full cloud-native. This means that they are under a greater pressure to lay claim to positive RoI and are able to muster data points of different types that appear to demonstrate real benefits, without being explicit about the baseline underpinning their claims: what their costs and revenues would, or might, have been had they persisted with the old physical appliance-centric model.

But this is an unreal comparison. Virtualisation has arisen because telco networks need to do more, and different things, than the old appliance-dependent networks enabled them to do. In the colourful expression of one of the industry experts we interviewed as part of our research, this is like comparing a horse to a computer.

In the first part of this report, we discuss the reasons why telcos generally cannot unequivocally demonstrate RoI from their telco cloud investments to date. In the second part, we discuss the range of benefits, actual and prospective, that telcos and vendors have observed from network cloudification, broken down by the three main pathways that telcos are following, as referred to above.

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Table of Contents

  • Executive Summary
  • Telcos have invested in telco cloud for several years: Where’s the RoI?
    • Virtualisation will go through three phases, corresponding to three deployment pathways
    • Problem: With a few exceptions, telcos cannot demonstrate RoI from virtualisation
  • Why do operators struggle to demonstrate RoI from their telco cloud investments to date?
    • For some players, it is clear that NFV did not generate RoI
    • It has also proved impossible to measure any gains, even if achieved
  • Is virtualisation so important that RoI does not matter?
  • Short-term pain for long-term gain: Why telco cloud is mission-critical
    • Cost savings are achievable
    • Operational efficiencies also gather pace as telcos progress through the telco cloud phases
    • Virtualisation both drives and is driven by organisational and process change
    • Cloud-native and CI/CD are restructuring telcos’ business models and cost base
  • Conclusion: Telco cloud benefits are deferred but assured
  • Index

Related research

Big data analytics – Time to up the ante

Introduction

Recent years have seen an explosion in the amount of data being generated by people and devices, thanks to more advanced network infrastructure, widespread adoption of smartphones and related applications, and digital consumer services. With the expansion of the Internet of Things (IoT), the amount of data being captured, stored, searched and analysed will only continue to increase. Such is the volume and variety of the data that it is beyond traditional processing software and is therefore referred to as ‘big data’.

Big data is of a greater magnitude and variety than traditional data, it comes from multiple sources and can be comprised of various formats, generated, stored and utilised in batches and/or in real-time. There is much talk and discussion around big data and analytics and its potential in many sectors, including telecommunications. As Figure 1 shows, analysis of big data can give an improved basis upon which to base human-led and automated decisions by providing better insight and allowing greater understanding of the situation being addressed.

Figure 1: Using Big Data can result in richer data insights

Source: STL Partners

This report analyses how telcos are pursuing big data analytics, and how to be successful in this regard.  This report seeks to answer the following questions:

  • When does data become ‘big’ and why is it an important issue for telcos?
  • What is the current state of telco big data implementations?
  • Who is doing what in terms of intelligent use of data and analytics?
  • How can big data analytics improve internal operational efficiencies?
  • How can big data be used to improve the relationship between telcos and their customers?
  • Where are the greatest revenue opportunities for telcos to employ big data, e.g. B2B, B2C?
  • Which companies are leading the way in enabling telcos to successfully realise big data strategies?
  • What is required in terms of infrastructure, dedicated teams and partners for successful implementation?

This report discusses implementations of big data and examines how the market will develop as telco awareness, understanding and readiness to make use of big data improves.  It provides an overview of the opportunities and use cases that can be realised and recommends what telcos need to do to achieve these.

Contents:

  • Executive Summary
  • Big data analytics is important
  • …but it’s not a quick win
  • …it’s a strategic play that takes commitment
  • How is ‘big data analytics’ different from ‘analytics’?
  • Opportunities for telcos: typically internal then external
  • Market development and trends
  • Challenges and restrictions in practice
  • What makes a successful big data strategy?
  • Next steps
  • Introduction
  • Methodology
  • An overview of big data analytics
  • Volume, variety and velocity – plus veracity and value
  • The significance of big data for telcos and their future strategies
  • Market development and trends
  • Challenges and restrictions
  • Optimisation and efficiency versus data monetisation
  • Telcos’ big data ecosystem
  • Case studies and results 
  • Early results
  • Big data analytics use cases
  • Examples of internal use-cases
  • Examples of external use cases
  • Findings, conclusions and recommendations

Figures:

  • Figure 1: Using Big Data can result in richer data insights
  • Figure 2: The data-centric telco: infusing data to improve efficiency across functions
  • Figure 3: Options for telcos’ big data implementations
  • Figure 4: Telco’s big data partner ecosystem
  • Figure 5: The components of a telco-oriented big data