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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 are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

The gap is widening between what teams spend on observability tools and the value they receive amid surging data volumes and budget pressures, according to The Breaking Point for Observability Leaders, a report from Imply ...

Seamless shopping is a basic demand of today's boundaryless consumer — one with little patience for friction, limited tolerance for disconnected experiences and minimal hesitation in switching brands. Customers expect intuitive, highly personalized experiences and the ability to move effortlessly across physical and digital channels within the same journey. Failure to deliver can cost dearly ...

If your best engineers spend their days sorting tickets and resetting access, you are wasting talent. New global data shows that employees in the IT sector rank among the least motivated across industries. They're under a lot of pressure from many angles. Pressure to upskill and uncertainty around what agentic AI means for job security is creating anxiety. Meanwhile, these roles often function like an on-call job and require many repetitive tasks ...