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Will 2022 Be the Year that Edge Computing Comes of Age?

Sergio Bea
Accedian

Communications Service Providers (CSPs) have reached a clear inflection point in their industry. Behind them are the days of providing commoditized network services, and ahead lies a future where they become strategic partners to their customers and help deploy a new generation of ground-breaking applications and services.

One of the main drivers for this change is technology evolution. 5G possibly gets most of the press in this regard, but in many ways, edge computing is no less important and will certainly be fundamental to helping CSPs create new revenue streams and business models in the future.

Multi-access edge computing (MEC) is where compute processing is pushed out from centralized databases to the network edge, lowering latency and opening the door to a whole raft of new use cases (see below). Working with Heavy Reading, we recently surveyed 82 CSPs that have either deployed MEC solutions, or which plan to do so soon. Here are some of the key findings.

Edge is Coming Soon

Perhaps the most encouraging finding is that MEC solutions are not a hype technology, or even something for long-term product roadmaps — CSPs are actively deploying it today. A plurality of respondents (39%) have in fact already deployed MEC solutions, around a third plan to do so in the next year (32%) and the remainder in the next two years (29%). That’s big news. It means that very soon enterprises will be able to leverage a new range of applications to drive business value.

What will these applications look like?

For the most part, they will be low latency, with CSPs seeing a range of opportunities across all industries including healthcare (remote diagnostics, remote surgery, and emergency response), entertainment (immersive entertainment and online gaming), and manufacturing (motion control, VR/AR apps, and remote control) among others. Outside of low latency applications, CSPs are eyeing up opportunities in private 5G, vRAN/open RAN, distributed 5G core functions, and others.

Quality Means Success

The opportunity for CSPs is clear, but how will they ensure that they deliver against customer expectations and provide services that stand out from others. Given that the CSPs we spoke to believe that the benefits of edge start with the customer experience (a plurality of 32% say that maintaining/improving QoE to subscribers with edge processing is the key benefit of the MEC) performance assurance could not be more important. Indeed, this is common sense — if customers want to use the edge for low-latency applications, then edge networks need to be able to deliver the latency required, every time.

Assuring edge performance is not without its challenges. For CSPs, the key challenges include 4G/5G network interoperability, security at the edge, and virtual service layers. It is interesting to see that CSPs that have already deployed MEC solutions are more likely than those in the planning stages to select these barriers, highlighting that the actuality of assuring edge performance can be more challenging than the theory.

Differentiating Through GTM

One crucial element factoring into the ability of CSPs to ensure the highest levels of performance for their edge propositions will be the go-to-market approach they choose to adopt. CSPs can either go it alone, work with an integrator or system vendor, or work with a mix of all three.

The latter approach arguably makes the most sense as it allows CSPs to draw on third-party expertise and insights and leverage best-in-class technologies. This approach will likely be much faster than building in-house and it is encouraging that most CSPs (59%) say this is the route they plan to take. A cause for concern, however, is that a sizeable 22% say they will go it alone.

In my view, these organizations risk falling behind when it comes to getting MEC propositions to market in a timely manner and in a state to meet the high expectations customers will have of the overall experience.

Buckle Up for the Age of the Edge

Recent research makes it clear that the age of edge computing is nearing. This will be transformational for CSPs, providing a foundation for new applications and services that they can co-create with customers. It is great news for end-users too, who will be able to leverage edge computing applications to get ahead of their competitors.

At the heart of this dynamic are QoE and performance assurance. CSPs that nail the customer experience with high-quality edge networks will make the most of the opportunities on offer. The rest may struggle to keep up.

Sergio Bea is VP Global Enterprise and Channels at Accedian

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Will 2022 Be the Year that Edge Computing Comes of Age?

Sergio Bea
Accedian

Communications Service Providers (CSPs) have reached a clear inflection point in their industry. Behind them are the days of providing commoditized network services, and ahead lies a future where they become strategic partners to their customers and help deploy a new generation of ground-breaking applications and services.

One of the main drivers for this change is technology evolution. 5G possibly gets most of the press in this regard, but in many ways, edge computing is no less important and will certainly be fundamental to helping CSPs create new revenue streams and business models in the future.

Multi-access edge computing (MEC) is where compute processing is pushed out from centralized databases to the network edge, lowering latency and opening the door to a whole raft of new use cases (see below). Working with Heavy Reading, we recently surveyed 82 CSPs that have either deployed MEC solutions, or which plan to do so soon. Here are some of the key findings.

Edge is Coming Soon

Perhaps the most encouraging finding is that MEC solutions are not a hype technology, or even something for long-term product roadmaps — CSPs are actively deploying it today. A plurality of respondents (39%) have in fact already deployed MEC solutions, around a third plan to do so in the next year (32%) and the remainder in the next two years (29%). That’s big news. It means that very soon enterprises will be able to leverage a new range of applications to drive business value.

What will these applications look like?

For the most part, they will be low latency, with CSPs seeing a range of opportunities across all industries including healthcare (remote diagnostics, remote surgery, and emergency response), entertainment (immersive entertainment and online gaming), and manufacturing (motion control, VR/AR apps, and remote control) among others. Outside of low latency applications, CSPs are eyeing up opportunities in private 5G, vRAN/open RAN, distributed 5G core functions, and others.

Quality Means Success

The opportunity for CSPs is clear, but how will they ensure that they deliver against customer expectations and provide services that stand out from others. Given that the CSPs we spoke to believe that the benefits of edge start with the customer experience (a plurality of 32% say that maintaining/improving QoE to subscribers with edge processing is the key benefit of the MEC) performance assurance could not be more important. Indeed, this is common sense — if customers want to use the edge for low-latency applications, then edge networks need to be able to deliver the latency required, every time.

Assuring edge performance is not without its challenges. For CSPs, the key challenges include 4G/5G network interoperability, security at the edge, and virtual service layers. It is interesting to see that CSPs that have already deployed MEC solutions are more likely than those in the planning stages to select these barriers, highlighting that the actuality of assuring edge performance can be more challenging than the theory.

Differentiating Through GTM

One crucial element factoring into the ability of CSPs to ensure the highest levels of performance for their edge propositions will be the go-to-market approach they choose to adopt. CSPs can either go it alone, work with an integrator or system vendor, or work with a mix of all three.

The latter approach arguably makes the most sense as it allows CSPs to draw on third-party expertise and insights and leverage best-in-class technologies. This approach will likely be much faster than building in-house and it is encouraging that most CSPs (59%) say this is the route they plan to take. A cause for concern, however, is that a sizeable 22% say they will go it alone.

In my view, these organizations risk falling behind when it comes to getting MEC propositions to market in a timely manner and in a state to meet the high expectations customers will have of the overall experience.

Buckle Up for the Age of the Edge

Recent research makes it clear that the age of edge computing is nearing. This will be transformational for CSPs, providing a foundation for new applications and services that they can co-create with customers. It is great news for end-users too, who will be able to leverage edge computing applications to get ahead of their competitors.

At the heart of this dynamic are QoE and performance assurance. CSPs that nail the customer experience with high-quality edge networks will make the most of the opportunities on offer. The rest may struggle to keep up.

Sergio Bea is VP Global Enterprise and Channels at Accedian

Hot Topics

The Latest

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...