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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

80% of respondents agree that the IT role is shifting from operators to orchestrators, according to the 2026 IT Trends Report: The Human Side of Autonomous IT from SolarWinds ...

40% of organizations deploying AI will implement dedicated AI observability tools by 2028 to monitor model performance, bias and outputs, according to Gartner ...

Until AI-powered engineering tools have live visibility of how code behaves at runtime, they cannot be trusted to autonomously ensure reliable systems, according to the State of AI-Powered Engineering Report 2026 report from Lightrun. The report reveals that a major volume of manual work is required when AI-generated code is deployed: 43% of AI-generated code requires manual debugging in production, even after passing QA or staging tests. Furthermore, an average of three manual redeploy cycles are required to verify a single AI-suggested code fix in production ...

Many organizations describe AI as strategic, but they do not manage it strategically. When AI plans are disconnected from strategy, detached from organizational learning, and protected from serious assumptions testing, the problem is no longer technical immaturity; it is a failure of management discipline ... Executives too often tell organizations to "use AI" before they define what AI is supposed to change. The problem deepens in organizations where strategy isn't well articulated in the first place ...

Across the enterprise technology landscape, a quiet crisis is playing out. Organizations have run hundreds, sometimes thousands, of generative AI pilots. Leadership has celebrated the proof of concept (POCs) ... Industry experience points to a sobering reality: only 5-10% of AI POCs that progress to the pilot stage successfully reach scaled production. The remaining 90% fail because the enterprise environment around them was never ready to absorb them, not the AI models ...

Today's modern systems are not what they once were. Organizations now rely on distributed systems, event-driven workflows, hybrid and multi-cloud environments and continuous delivery pipelines. While each adds flexibility, it also introduces new, often invisible failures. Development speed is no longer the primary bottleneck of innovation. Reliability is ...

Seeing is believing, or in this case, seeing is understanding, according to New Relic's 2025 Observability Forecast for Retail and eCommerce report. Retailers who want to provide exceptional customer experiences while improving IT operations efficiency are leaning on observability ... Here are five key takeaways from the report ...

Technology leaders across the federal landscape are facing, and will continue to face, an uphill battle when it comes to fortifying their digital environments against hostile and persistent threat actors. On one hand, they are being asked to push digital transformation ... On the other hand, they are facing the fiscal uncertainty of continuing resolutions (CR) and government shutdowns looming near and far. In the face of these challenges, CIOs, CTOs, and CISOs must figure out how to modernize legacy systems and infrastructure while doing more with less and still defending against external and internal threats ...

Reliability is no longer proven by uptime alone, according to the The SRE Report 2026 from LogicMonitor. In the AI era, it is experienced through speed, consistency, and user trust, and increasingly judged by business impact. As digital services grow more complex and AI systems move into production, traditional monitoring approaches are struggling to keep pace, increasing the need for AI-first observability that spans applications, infrastructure, and the Internet ...

If AI is the engine of a modern organization, then data engineering is the road system beneath it. You can build the most powerful engine in the world, but without paved roads, traffic signals, and bridges that can support its weight, it will stall. In many enterprises, the engine is ready. The roads are not ...