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What is Advanced Network Analytics? Cutting Through the Hype

Shamus McGillicuddy

Everyone wants to talk about how analytics is the future of network engineering and operations. The phrase "network analytics" is used by vendors of various stripes to imply that a particular technology is smarter and better than the average solution.

But what is it? What does the term network analytics mean to the enterprise network infrastructure professionals?

Enterprise Management Associates (EMA) recently published survey-based research on this topic. We sought out individuals who were actively involved in so-called network analytics initiatives. To find these people, we presented random IT professionals with a broad definition of a network analytics initiative.

"The implementation of technologies and strategies aimed at extracting previously unrealized insight and value from data produced by and collected from network infrastructure and network traffic. Network analytics supports network and IT engineering and operations use cases. It can also benefit the business via business process optimization and other opportunities."

To qualify for our research survey, IT professionals had to work for an organization that was engaged in an initiative that fit the above definition, and survey respondents had to be directly involved in such an initiative.

Our first goal with this research was to let survey respondents tell me what network analytics means to them. And that’s where the following question comes in.

What network analytics technology strategies does your organization currently use or plan to use?

The average respondent selected slightly more than two of the following multiple-choice options, which suggests that network pros are taking multiple paths toward a network analytics future.

1.Analytics features embedded in network infrastructure (58%)

2. Analytics features embedded in network operations software (56%)

3. Packaged solutions from pure-play network analytics vendors (55%)

4. Packaged solutions from pure-play general analytics vendors (34%)

5. Standalone analytics stacks (homegrown or otherwise) applied to a network data store (18%)

We also asked them to select the one option above that was their primary approach to network analytics. Analytics features embedded in network operations software was the top choice (40%), analytics embedded in infrastructure was second (30%), and pure-play network analytics vendors was third (18%).

This data tells us that IT shops are consuming network analytics from some very familiar vendors. In fact, you might already have your network analytics solution.

Network monitoring tools increasingly leverage new analytics and machine learning algorithms to make their tools more intelligent and useful

Network management software vendors and network hardware vendors are delivering analytics technologies within their existing product portfolios. We’ve seen indications of this for a few years now. Network monitoring tools, for instance, increasingly leverage new analytics and machine learning algorithms to make their tools more intelligent and useful.

Network infrastructure vendors are embedding analytics everywhere, particularly in the data center and the WAN. Nearly every enterprise-grade software-defined WAN (SD-WAN) solution leverages analytics in some way, particularly those with sophisticated traffic steering capabilities and extensive network automation capabilities.

Yes, there are clearly specialized network analytics solutions out there for you to buy, and many enterprises are doing so. But you don’t need to add another vendor to your roster to access the benefits of network analytics today. You may not even have to buy a new product. Your existing vendors are enriching the technology you have already deployed.

The network hardware you already have installed may get smarter in the next few years thanks to new analytics features. The network management and monitoring tools that you have also will get smarter. If it hasn’t happened already, you can expect to see your existing solutions enhanced by process analytics, predictive analytics, data mining, trending, and emulation. And you will also see your vendors leverage machine learning to make their products smarter.

As this industry trend unfolds and embedded analytics proliferate in hardware and management software, some network managers may see gaps in their engineering and operations processes that a solution from a pure-play network analytics vendor can fill. More than half of the IT professionals we surveyed have apparently already responded to this issue by engaging with such analytics vendors.

This research tells us that network analytics isn’t some shiny new thing that you need to buy. It’s more about an evolution and enrichment of existing technology. As you navigate your way around the hype machine, keep that in mind.

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What is Advanced Network Analytics? Cutting Through the Hype

Shamus McGillicuddy

Everyone wants to talk about how analytics is the future of network engineering and operations. The phrase "network analytics" is used by vendors of various stripes to imply that a particular technology is smarter and better than the average solution.

But what is it? What does the term network analytics mean to the enterprise network infrastructure professionals?

Enterprise Management Associates (EMA) recently published survey-based research on this topic. We sought out individuals who were actively involved in so-called network analytics initiatives. To find these people, we presented random IT professionals with a broad definition of a network analytics initiative.

"The implementation of technologies and strategies aimed at extracting previously unrealized insight and value from data produced by and collected from network infrastructure and network traffic. Network analytics supports network and IT engineering and operations use cases. It can also benefit the business via business process optimization and other opportunities."

To qualify for our research survey, IT professionals had to work for an organization that was engaged in an initiative that fit the above definition, and survey respondents had to be directly involved in such an initiative.

Our first goal with this research was to let survey respondents tell me what network analytics means to them. And that’s where the following question comes in.

What network analytics technology strategies does your organization currently use or plan to use?

The average respondent selected slightly more than two of the following multiple-choice options, which suggests that network pros are taking multiple paths toward a network analytics future.

1.Analytics features embedded in network infrastructure (58%)

2. Analytics features embedded in network operations software (56%)

3. Packaged solutions from pure-play network analytics vendors (55%)

4. Packaged solutions from pure-play general analytics vendors (34%)

5. Standalone analytics stacks (homegrown or otherwise) applied to a network data store (18%)

We also asked them to select the one option above that was their primary approach to network analytics. Analytics features embedded in network operations software was the top choice (40%), analytics embedded in infrastructure was second (30%), and pure-play network analytics vendors was third (18%).

This data tells us that IT shops are consuming network analytics from some very familiar vendors. In fact, you might already have your network analytics solution.

Network monitoring tools increasingly leverage new analytics and machine learning algorithms to make their tools more intelligent and useful

Network management software vendors and network hardware vendors are delivering analytics technologies within their existing product portfolios. We’ve seen indications of this for a few years now. Network monitoring tools, for instance, increasingly leverage new analytics and machine learning algorithms to make their tools more intelligent and useful.

Network infrastructure vendors are embedding analytics everywhere, particularly in the data center and the WAN. Nearly every enterprise-grade software-defined WAN (SD-WAN) solution leverages analytics in some way, particularly those with sophisticated traffic steering capabilities and extensive network automation capabilities.

Yes, there are clearly specialized network analytics solutions out there for you to buy, and many enterprises are doing so. But you don’t need to add another vendor to your roster to access the benefits of network analytics today. You may not even have to buy a new product. Your existing vendors are enriching the technology you have already deployed.

The network hardware you already have installed may get smarter in the next few years thanks to new analytics features. The network management and monitoring tools that you have also will get smarter. If it hasn’t happened already, you can expect to see your existing solutions enhanced by process analytics, predictive analytics, data mining, trending, and emulation. And you will also see your vendors leverage machine learning to make their products smarter.

As this industry trend unfolds and embedded analytics proliferate in hardware and management software, some network managers may see gaps in their engineering and operations processes that a solution from a pure-play network analytics vendor can fill. More than half of the IT professionals we surveyed have apparently already responded to this issue by engaging with such analytics vendors.

This research tells us that network analytics isn’t some shiny new thing that you need to buy. It’s more about an evolution and enrichment of existing technology. As you navigate your way around the hype machine, keep that in mind.

Hot Topics

The Latest

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...

An overwhelming majority of IT leaders (95%) believe the upcoming wave of AI-powered digital transformation is set to be the most impactful and intensive seen thus far, according to The Science of Productivity: AI, Adoption, And Employee Experience, a new report from Nexthink ...

Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...