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

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

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 ...

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

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

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 ...