Skip to main content

NAPM Investment: Why the Value Extends Far Beyond the Network

Sergio Bea
Accedian

Over the last decade, the public cloud has completely transformed enterprise IT, allowing for more agility, flexibility and scalability, and creating new business and technology opportunities. It has, however, also placed incremental burden on IT teams.

The role of the IT department was once manageable — straightforward tasks such as computer desktop support, installing and configuring hardware and software, and monitoring and maintaining systems and servers were commonplace. But as a result of digital transformation and the adoption of new and emerging technologies, IT teams are now responsible for driving business strategy and cost savings. With all of the new responsibilities, it's not surprising that we've seen new disciplines emerge, such as NetOps, DevOps, SecOps and DevSecOps.

At the same time, as the point-person for overseeing IT teams, the role of the CIO has expanded — now leading everything from the adoption of new technology stacks to the management of customer experience. In a world where every customer engagement point can make or break brand loyalty, it's more important than ever for CIOs to adopt a digital-first strategy. This includes implementing the right processes, procedures and technologies that ensure optimal performance of networks and applications.

Networks and applications drive the efficiency of business processes and the experience of customers, and subsequently, they drive revenue and profitability for organizations. But, according to IDG, over 75% of IT organizations still suffer from degraded business applications.

Network and Application Performance Management (NAPM) technology provides visibility into performance issues, empowering CIOs and IT teams with the ability to quickly identify and resolve problems before they impact the end user experience. According to a recent study from Accedian and the Centre for Economics and Business Research (CEBR), the technology also offers many business and economic benefits to IT teams far beyond its role in performance, with huge boosts to the overall economy, but with an immediate impact on an organization's employee productivity.

The Impacts of NAPM Investment

It's common for many IT teams to focus on a specific scope of responsibility – whether it's the network, systems, cloud, application or database. NAPM technology provides teams with end-to-end performance visibility, proactively delivering actionable insights to detect and fix issues impacting business productivity.

In fact, when NAPM technology is deployed, Accedian's research found there was an economy-wide increase in productivity among IT workers (as much as a 7.7% boost in productivity), which translates to more than $18.9 billion added to the U.S. economy by 2024. To put this into perspective, that's over 50% of the entire economy of the state of Vermont. If anything, these figures are conservative, as this study was carried out pre-COVID-19 when workers were not as reliant on the network.

When looking at industry-specific data, IT, telecoms and communications services experience the greatest benefits from NAPM technology. Across this sector, IT worker productivity contributes $13.3 billion of value to the general economy. And even beyond this increase, NAPM in the sector contributes a further $1.5 billion in reduced network downtime — meaning the financial consequences associated with network outages are significantly mitigated. But that's not to say this is the only industry where NAPM offers big benefits. A boost in IT productivity in the finance and insurance industries, for example, contributes $4.2 billion of total economic general value add. Retail comes in with a comparatively small boost of $200 million, but with high competition among retailers who are increasingly relying on online revenue, this number is still significant.

Productivity isn't the only benefit that the research found from NAPM technology adoption. The benefits cascade across entire industries, greatly affecting cybersecurity and uplifting the overall economy. The study found a massive reduction in data breach-related fines by as much as $157 million by 2024. Overall, it has the potential to add as much as $32.7 billion to the overall U.S. economy by 2024, representing a 0.13% increase in forecasted GDP.

Your Network and the New Normal

The COVID-19 pandemic has shown us how important network and application performance really is, as we are now reliant on it for everything from work to school to shopping for everyday necessities. This makes network uptime all the more necessary. CIOs and IT teams must understand the true importance of network performance and rise to the occasion, taking the network into consideration when configuring organizational technology stacks.

Sergio Bea is VP Global Enterprise and Channels at Accedian

Hot Topics

The Latest

Rapid AI adoption and the unique ways AI workloads operate is redefining the scope and structure of what these teams must deliver. This shift is forcing organizations to rethink how they manage scale, automation, and control, according to The State of SRE and Platform Engineering 2026, a new report from Dynatrace ...

AI is usually talked about as a software tool, but it also depends heavily on the network behind it. Whether a company is using AI for chatbots, automation, monitoring, analytics, or employee support, all of that information has to move across the network in a reliable and secure way. That means AI is not just an application decision. It is also an infrastructure decision. Before organizations rush into AI, they should ask a simple question: Is our network ready to support it? ...

Enterprise AI often lacks governed access to where business processes actually execute. Without that access, AI agents may be able to reason, but they cannot operate reliably across enterprise workflows. For AI agents to effectively carry out workflows, they will require integration-layer context and controls. Organizations can implement these prerequisites by providing AI with managed access to the middleware layer ...

Enterprise networks rarely behave the same way for very long. A routing adjustment in one region may unexpectedly alter application performance in another. A cloud migration may introduce hidden dependencies that go unnoticed until an outage occurs. All the while, the network is managed by several different teams, each of whom use different tool sets — and as a result, have different views of the network ... There’s usually an engineer who remembers why traffic fails over a certain way between sites, or which transparent firewall was added where. The problem is that human memory cannot scale alongside enterprise-scale networks ...

Ask an infrastructure team how confident they are in their ability to govern AI, and most will tell you they've got it handled. A recent survey of 406 IT decision-makers and platform engineering leaders found 86% expressing exactly that confidence. Ask the same group whether they have a formal written AI governance policy, and the number drops to 30%, according to Spacelift's Infrastructure Automation Report ...

In MEAN TIME TO INSIGHT Episode 27, Shamus McGillicuddy, EMA VP of Research, Network Infrastructure and Operations, and Parker Hathcock, EMA Research Director covering IT Service/Operations (ServiceOps), discuss observability unification in modern IT operations ... 

Virtual Private Networks became a cornerstone of enterprise security at a time when corporate infrastructure looked very different from today ... For years, this model worked well. But the architecture behind VPNs assumed a centralized corporate environment—one where the network itself was the hub of activity. In a cloud — first world, that assumption no longer holds ...

Website outages get resolved just as fast in August as they do in November. I went looking for the opposite: the summer slowdown everyone assumes is there once the people who fix things are away. It isn't in the data we collected, covering 1.8 million confirmed outages across tens of thousands of websites ...

This year, many of the cloud infrastructure contracts signed in the early days of the AI boom will come up for renewal. As the year goes on, I anticipate we'll see a significant amount of cloud vendor swapouts and multi-cloud adoption, and the reason isn't just GPU depreciation. It's because they're tired of their current cloud providers ...

There's a moment the many observability teams have experienced days into bringing a new service into production: you realize that the vendor's claims of "intelligent" behavior included a large serving of hype. Their dashboards look nice until they don't, the failure modes are a black box, and no one on the team can confidently explain why the system did what it did at 2 am. Agentic AI is about to force every Ops team to relive that moment at web-scale until they start treating these systems as the dependencies they actually are ...

NAPM Investment: Why the Value Extends Far Beyond the Network

Sergio Bea
Accedian

Over the last decade, the public cloud has completely transformed enterprise IT, allowing for more agility, flexibility and scalability, and creating new business and technology opportunities. It has, however, also placed incremental burden on IT teams.

The role of the IT department was once manageable — straightforward tasks such as computer desktop support, installing and configuring hardware and software, and monitoring and maintaining systems and servers were commonplace. But as a result of digital transformation and the adoption of new and emerging technologies, IT teams are now responsible for driving business strategy and cost savings. With all of the new responsibilities, it's not surprising that we've seen new disciplines emerge, such as NetOps, DevOps, SecOps and DevSecOps.

At the same time, as the point-person for overseeing IT teams, the role of the CIO has expanded — now leading everything from the adoption of new technology stacks to the management of customer experience. In a world where every customer engagement point can make or break brand loyalty, it's more important than ever for CIOs to adopt a digital-first strategy. This includes implementing the right processes, procedures and technologies that ensure optimal performance of networks and applications.

Networks and applications drive the efficiency of business processes and the experience of customers, and subsequently, they drive revenue and profitability for organizations. But, according to IDG, over 75% of IT organizations still suffer from degraded business applications.

Network and Application Performance Management (NAPM) technology provides visibility into performance issues, empowering CIOs and IT teams with the ability to quickly identify and resolve problems before they impact the end user experience. According to a recent study from Accedian and the Centre for Economics and Business Research (CEBR), the technology also offers many business and economic benefits to IT teams far beyond its role in performance, with huge boosts to the overall economy, but with an immediate impact on an organization's employee productivity.

The Impacts of NAPM Investment

It's common for many IT teams to focus on a specific scope of responsibility – whether it's the network, systems, cloud, application or database. NAPM technology provides teams with end-to-end performance visibility, proactively delivering actionable insights to detect and fix issues impacting business productivity.

In fact, when NAPM technology is deployed, Accedian's research found there was an economy-wide increase in productivity among IT workers (as much as a 7.7% boost in productivity), which translates to more than $18.9 billion added to the U.S. economy by 2024. To put this into perspective, that's over 50% of the entire economy of the state of Vermont. If anything, these figures are conservative, as this study was carried out pre-COVID-19 when workers were not as reliant on the network.

When looking at industry-specific data, IT, telecoms and communications services experience the greatest benefits from NAPM technology. Across this sector, IT worker productivity contributes $13.3 billion of value to the general economy. And even beyond this increase, NAPM in the sector contributes a further $1.5 billion in reduced network downtime — meaning the financial consequences associated with network outages are significantly mitigated. But that's not to say this is the only industry where NAPM offers big benefits. A boost in IT productivity in the finance and insurance industries, for example, contributes $4.2 billion of total economic general value add. Retail comes in with a comparatively small boost of $200 million, but with high competition among retailers who are increasingly relying on online revenue, this number is still significant.

Productivity isn't the only benefit that the research found from NAPM technology adoption. The benefits cascade across entire industries, greatly affecting cybersecurity and uplifting the overall economy. The study found a massive reduction in data breach-related fines by as much as $157 million by 2024. Overall, it has the potential to add as much as $32.7 billion to the overall U.S. economy by 2024, representing a 0.13% increase in forecasted GDP.

Your Network and the New Normal

The COVID-19 pandemic has shown us how important network and application performance really is, as we are now reliant on it for everything from work to school to shopping for everyday necessities. This makes network uptime all the more necessary. CIOs and IT teams must understand the true importance of network performance and rise to the occasion, taking the network into consideration when configuring organizational technology stacks.

Sergio Bea is VP Global Enterprise and Channels at Accedian

Hot Topics

The Latest

Rapid AI adoption and the unique ways AI workloads operate is redefining the scope and structure of what these teams must deliver. This shift is forcing organizations to rethink how they manage scale, automation, and control, according to The State of SRE and Platform Engineering 2026, a new report from Dynatrace ...

AI is usually talked about as a software tool, but it also depends heavily on the network behind it. Whether a company is using AI for chatbots, automation, monitoring, analytics, or employee support, all of that information has to move across the network in a reliable and secure way. That means AI is not just an application decision. It is also an infrastructure decision. Before organizations rush into AI, they should ask a simple question: Is our network ready to support it? ...

Enterprise AI often lacks governed access to where business processes actually execute. Without that access, AI agents may be able to reason, but they cannot operate reliably across enterprise workflows. For AI agents to effectively carry out workflows, they will require integration-layer context and controls. Organizations can implement these prerequisites by providing AI with managed access to the middleware layer ...

Enterprise networks rarely behave the same way for very long. A routing adjustment in one region may unexpectedly alter application performance in another. A cloud migration may introduce hidden dependencies that go unnoticed until an outage occurs. All the while, the network is managed by several different teams, each of whom use different tool sets — and as a result, have different views of the network ... There’s usually an engineer who remembers why traffic fails over a certain way between sites, or which transparent firewall was added where. The problem is that human memory cannot scale alongside enterprise-scale networks ...

Ask an infrastructure team how confident they are in their ability to govern AI, and most will tell you they've got it handled. A recent survey of 406 IT decision-makers and platform engineering leaders found 86% expressing exactly that confidence. Ask the same group whether they have a formal written AI governance policy, and the number drops to 30%, according to Spacelift's Infrastructure Automation Report ...

In MEAN TIME TO INSIGHT Episode 27, Shamus McGillicuddy, EMA VP of Research, Network Infrastructure and Operations, and Parker Hathcock, EMA Research Director covering IT Service/Operations (ServiceOps), discuss observability unification in modern IT operations ... 

Virtual Private Networks became a cornerstone of enterprise security at a time when corporate infrastructure looked very different from today ... For years, this model worked well. But the architecture behind VPNs assumed a centralized corporate environment—one where the network itself was the hub of activity. In a cloud — first world, that assumption no longer holds ...

Website outages get resolved just as fast in August as they do in November. I went looking for the opposite: the summer slowdown everyone assumes is there once the people who fix things are away. It isn't in the data we collected, covering 1.8 million confirmed outages across tens of thousands of websites ...

This year, many of the cloud infrastructure contracts signed in the early days of the AI boom will come up for renewal. As the year goes on, I anticipate we'll see a significant amount of cloud vendor swapouts and multi-cloud adoption, and the reason isn't just GPU depreciation. It's because they're tired of their current cloud providers ...

There's a moment the many observability teams have experienced days into bringing a new service into production: you realize that the vendor's claims of "intelligent" behavior included a large serving of hype. Their dashboards look nice until they don't, the failure modes are a black box, and no one on the team can confidently explain why the system did what it did at 2 am. Agentic AI is about to force every Ops team to relive that moment at web-scale until they start treating these systems as the dependencies they actually are ...