Skip to main content

State of the WAN 2017

Gary Sevounts

Global enterprise WAN traffic is growing about 200% annually, according to the 2017 State of the WAN Report from Aryaka.

“Understanding the state of the WAN – and the impacts that global network traffic has on business strategy – gives IT leaders the ability to partner with their C-suite to enhance business execution,” said Shawn Farshchi, Aryaka’s President and CEO. “With nearly 50% of all global enterprise traffic now comprising cloud and SaaS, and legacy technologies, like MPLS, failing to address this trend, the ability to address the needs of the business translates into better business execution and competitive advantage.”


Other key insights from the study include:
.
■ Among all regions, Asia-Pacific saw the biggest spike in WAN traffic (248%) in 2016, suggesting that companies in this region are rapidly adopting cloud technology and transforming their businesses to compete in a digital world. In addition, the use of 100 Mbps links in China rose dramatically in 2016, from 6% of links the previous year to 25% of links this year. This shows the power and growth of the Chinese economy overall as it closes the gap with Western countries in terms of demand for high-speed connectivity.

■ By industry, the Manufacturing vertical saw a massive 440% increase in WAN traffic last year. Other verticals at the cutting edge of innovation include the Software and Internet sector, which grew network traffic by 526%, as well as the Real Estate, Energy and Utilities, and Travel industries, whose WAN traffic grew by around 200%.

■ HTTP and HTTPS together now make up close to 50% of all WAN traffic. Previously, the majority of WAN traffic was of the client-server variety, with traffic moving to and from the data center. But the increased adoption of cloud services has greatly driven up the amount of Internet traffic within the enterprise.

■ Internet bandwidths and quality are increasing at the WAN edge and over short distances. However, the hand-off between ISPs over the Internet or IP-VPN is getting worse, affecting the performance of business-critical applications, such as ERP or hosted voice and video. For data and applications being transferred over long distances, the middle mile remains unreliable and is riddled with latency, packet loss, and jitter – suggesting that the Internet is not the new enterprise network, as others have suggested.

About the Report: Aryaka aggregated and analyzed enterprise WAN traffic over the past four years to identify trends and challenges in application performance, WAN reliability, and bandwidth access between specific geographies and in different industries. With data aggregated from over 5000 sites in 63 countries, this report gives a detailed look into the current state of WAN infrastructure and its impact on global business.

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 ...

State of the WAN 2017

Gary Sevounts

Global enterprise WAN traffic is growing about 200% annually, according to the 2017 State of the WAN Report from Aryaka.

“Understanding the state of the WAN – and the impacts that global network traffic has on business strategy – gives IT leaders the ability to partner with their C-suite to enhance business execution,” said Shawn Farshchi, Aryaka’s President and CEO. “With nearly 50% of all global enterprise traffic now comprising cloud and SaaS, and legacy technologies, like MPLS, failing to address this trend, the ability to address the needs of the business translates into better business execution and competitive advantage.”


Other key insights from the study include:
.
■ Among all regions, Asia-Pacific saw the biggest spike in WAN traffic (248%) in 2016, suggesting that companies in this region are rapidly adopting cloud technology and transforming their businesses to compete in a digital world. In addition, the use of 100 Mbps links in China rose dramatically in 2016, from 6% of links the previous year to 25% of links this year. This shows the power and growth of the Chinese economy overall as it closes the gap with Western countries in terms of demand for high-speed connectivity.

■ By industry, the Manufacturing vertical saw a massive 440% increase in WAN traffic last year. Other verticals at the cutting edge of innovation include the Software and Internet sector, which grew network traffic by 526%, as well as the Real Estate, Energy and Utilities, and Travel industries, whose WAN traffic grew by around 200%.

■ HTTP and HTTPS together now make up close to 50% of all WAN traffic. Previously, the majority of WAN traffic was of the client-server variety, with traffic moving to and from the data center. But the increased adoption of cloud services has greatly driven up the amount of Internet traffic within the enterprise.

■ Internet bandwidths and quality are increasing at the WAN edge and over short distances. However, the hand-off between ISPs over the Internet or IP-VPN is getting worse, affecting the performance of business-critical applications, such as ERP or hosted voice and video. For data and applications being transferred over long distances, the middle mile remains unreliable and is riddled with latency, packet loss, and jitter – suggesting that the Internet is not the new enterprise network, as others have suggested.

About the Report: Aryaka aggregated and analyzed enterprise WAN traffic over the past four years to identify trends and challenges in application performance, WAN reliability, and bandwidth access between specific geographies and in different industries. With data aggregated from over 5000 sites in 63 countries, this report gives a detailed look into the current state of WAN infrastructure and its impact on global business.

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 ...