Skip to main content

Service Providers Prioritize Performance Management for SD-WAN

Sergio Bea
Accedian

As the global telecommunications industry embraces SD-WAN, service providers are finding that corporate customers are increasingly favoring the technology as a managed service for specific applications at smaller sites.


A recent study from Accedian, Amdocs, and VMware, working with Heavy Reading analysts, surveyed 103 global telecom service providers on issues related to SD-WAN managed services implementation, including where they see growth and what the industry considered its biggest challenges in the implementation of SD-WAN.

Promising Opportunities in Certain Verticals

Unsurprisingly, the verticals that have the clearest use cases are seen as the highest priority targets for service providers to build out their offerings. Leading the pack is the retail industry, considered a priority by 45% of respondents. The ability to connect multiple storefronts, warehouses, and delivery hubs, and provide customers with a multichannel experience were seen as shining examples of SD-WAN in action.

Manufacturing came in second, with 38% of respondents saying it was a priority. Manufacturing at a global scale can involve operations from a variety of sites, including production facilities, factory floors, warehouses, and throughout the supply chain in general, making it an appealing target for SD-WAN services.

In third place was the healthcare industry, with 32% of respondents calling it a priority. This finding is no doubt because of the pandemic fueling demand for cloud applications like remote healthcare, which operates from disparate locations like the doctor's office, hospital, and pharmacy.

Navigating Challenges

The survey also asked service providers about the challenges they faced when building out SD-WAN offerings.

The biggest challenge, faced by 66% of the survey's respondents, was monitoring network performance. This seems to be even more daunting at scale, with 71% of service providers whose annual revenue exceeds $5B acknowledging the struggle.

Also top of mind for service providers was the ability to correlate events across physical underlay and overlay, with 61% of those larger service providers reporting an issue.

When it comes to managing network performance, more than 60% of respondents reported using three or more different management tools for SD-WAN service. A smaller, but still significant 16% of respondents reported using five or more tools.

Looking Ahead

As service providers continue to build out SD-WAN, it is likely that many will embrace automation to aid in the management of network performance. When it came specifically to managing performance of the underlying network, 37% of respondents indicated that automation was critical, making it the number one priority.

It is also worth noting that, although automation for provisioning, verification, and activation have become relatively common practice in the last few years, automating those three capabilities is a top priority for companies who have not already done so.

The report finds that many service providers are achieving their SD-WAN performance goals by outsourcing active performance monitoring to third party providers.

The report also suggests that service providers may find they are unable to streamline their SD-WAN services by reducing the number of products they offer, but that they may be able to enlist the help of open standard third party providers to simplify their offerings.

There's an obvious opportunity with SD-WAN. Service providers have been hard at work setting expectations with their customers, promising improved performance, faster deployments, and overall better end user experiences on their networks.

In order to deliver on those promises, there will be no room for service providers to neglect performance monitoring. Customers will hold service providers to the KPIs they deliver. If a provider's performance, relationships, and reputation are on the line, following through on critical priorities like performance management and automation should be the number one priority.

Sergio Bea is VP Global Enterprise and Channels at Accedian

Hot Topics

The Latest

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

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 ...

Service Providers Prioritize Performance Management for SD-WAN

Sergio Bea
Accedian

As the global telecommunications industry embraces SD-WAN, service providers are finding that corporate customers are increasingly favoring the technology as a managed service for specific applications at smaller sites.


A recent study from Accedian, Amdocs, and VMware, working with Heavy Reading analysts, surveyed 103 global telecom service providers on issues related to SD-WAN managed services implementation, including where they see growth and what the industry considered its biggest challenges in the implementation of SD-WAN.

Promising Opportunities in Certain Verticals

Unsurprisingly, the verticals that have the clearest use cases are seen as the highest priority targets for service providers to build out their offerings. Leading the pack is the retail industry, considered a priority by 45% of respondents. The ability to connect multiple storefronts, warehouses, and delivery hubs, and provide customers with a multichannel experience were seen as shining examples of SD-WAN in action.

Manufacturing came in second, with 38% of respondents saying it was a priority. Manufacturing at a global scale can involve operations from a variety of sites, including production facilities, factory floors, warehouses, and throughout the supply chain in general, making it an appealing target for SD-WAN services.

In third place was the healthcare industry, with 32% of respondents calling it a priority. This finding is no doubt because of the pandemic fueling demand for cloud applications like remote healthcare, which operates from disparate locations like the doctor's office, hospital, and pharmacy.

Navigating Challenges

The survey also asked service providers about the challenges they faced when building out SD-WAN offerings.

The biggest challenge, faced by 66% of the survey's respondents, was monitoring network performance. This seems to be even more daunting at scale, with 71% of service providers whose annual revenue exceeds $5B acknowledging the struggle.

Also top of mind for service providers was the ability to correlate events across physical underlay and overlay, with 61% of those larger service providers reporting an issue.

When it comes to managing network performance, more than 60% of respondents reported using three or more different management tools for SD-WAN service. A smaller, but still significant 16% of respondents reported using five or more tools.

Looking Ahead

As service providers continue to build out SD-WAN, it is likely that many will embrace automation to aid in the management of network performance. When it came specifically to managing performance of the underlying network, 37% of respondents indicated that automation was critical, making it the number one priority.

It is also worth noting that, although automation for provisioning, verification, and activation have become relatively common practice in the last few years, automating those three capabilities is a top priority for companies who have not already done so.

The report finds that many service providers are achieving their SD-WAN performance goals by outsourcing active performance monitoring to third party providers.

The report also suggests that service providers may find they are unable to streamline their SD-WAN services by reducing the number of products they offer, but that they may be able to enlist the help of open standard third party providers to simplify their offerings.

There's an obvious opportunity with SD-WAN. Service providers have been hard at work setting expectations with their customers, promising improved performance, faster deployments, and overall better end user experiences on their networks.

In order to deliver on those promises, there will be no room for service providers to neglect performance monitoring. Customers will hold service providers to the KPIs they deliver. If a provider's performance, relationships, and reputation are on the line, following through on critical priorities like performance management and automation should be the number one priority.

Sergio Bea is VP Global Enterprise and Channels at Accedian

Hot Topics

The Latest

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

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 ...