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Gartner Publishes 2016 Magic Quadrant for NPM and Diagnostics

Gartner has published the 2016 Magic Quadrant for Network Performance Monitoring and Diagnostics.

Network Performance Monitoring and Diagnostics (NPMD) solutions play a key role in helping IT ops support increasingly complex technologies and services with network visibility, detection of performance issues and root cause analysis, according to Gartner.

The new report covers vendors' continued innovation with operational analytics, integrated GUIs and more flexible deployment options.

According to the Magic Quadrant: "NPMD tools allow for IT operations to understand the performance of application, network and infrastructure components via network instrumentation. These tools also provide insight into the quality of the end user's experience. The goal of NPMD products is not only to monitor the network traffic and infrastructure to facilitate outage and degradation resolution, but also to identify performance optimization opportunities. This is conducted via diagnostics, analytics and root cause analysis capabilities to complement monitoring of today's complex IT environments."

Vendors included in the report :

- Automic

- CA Technologies

- Cisco

- Corvil

- Flowmon Networks

- Genie Networks

- Hewlett Packard Enterprise

- InfoVista

- NetScout Systems

- NetScout Systems (Fluke Networks)

- Niksun

- Paessler

- Riverbed

- SevOne

- SolarWinds

- Viavi Solutions

The NPMD market is a fast-growing segment of the larger network management space. Gartner estimates the size of the NPMD tool market at $1.1 billion and growing at a compound annual growth rate (CAGR) of 10.0%, according to Gartner's Market Share Analysis: IT Operations Management Software, Worldwide, 2014.

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Gartner Publishes 2016 Magic Quadrant for NPM and Diagnostics

Gartner has published the 2016 Magic Quadrant for Network Performance Monitoring and Diagnostics.

Network Performance Monitoring and Diagnostics (NPMD) solutions play a key role in helping IT ops support increasingly complex technologies and services with network visibility, detection of performance issues and root cause analysis, according to Gartner.

The new report covers vendors' continued innovation with operational analytics, integrated GUIs and more flexible deployment options.

According to the Magic Quadrant: "NPMD tools allow for IT operations to understand the performance of application, network and infrastructure components via network instrumentation. These tools also provide insight into the quality of the end user's experience. The goal of NPMD products is not only to monitor the network traffic and infrastructure to facilitate outage and degradation resolution, but also to identify performance optimization opportunities. This is conducted via diagnostics, analytics and root cause analysis capabilities to complement monitoring of today's complex IT environments."

Vendors included in the report :

- Automic

- CA Technologies

- Cisco

- Corvil

- Flowmon Networks

- Genie Networks

- Hewlett Packard Enterprise

- InfoVista

- NetScout Systems

- NetScout Systems (Fluke Networks)

- Niksun

- Paessler

- Riverbed

- SevOne

- SolarWinds

- Viavi Solutions

The NPMD market is a fast-growing segment of the larger network management space. Gartner estimates the size of the NPMD tool market at $1.1 billion and growing at a compound annual growth rate (CAGR) of 10.0%, according to Gartner's Market Share Analysis: IT Operations Management Software, Worldwide, 2014.

Hot Topic

The Latest

For many B2B and B2C enterprise brands, technology isn't a core strength. Relying on overly complex architectures (like those that follow a pure MACH doctrine) has been flagged by industry leaders as a source of operational slowdown, creating bottlenecks that limit agility in volatile market conditions ...

FinOps champions crucial cross-departmental collaboration, uniting business, finance, technology and engineering leaders to demystify cloud expenses. Yet, too often, critical cost issues are softened into mere "recommendations" or "insights" — easy to ignore. But what if we adopted security's battle-tested strategy and reframed these as the urgent risks they truly are, demanding immediate action? ...

Two in three IT professionals now cite growing complexity as their top challenge — an urgent signal that the modernization curve may be getting too steep, according to the Rising to the Challenge survey from Checkmk ...

While IT leaders are becoming more comfortable and adept at balancing workloads across on-premises, colocation data centers and the public cloud, there's a key component missing: connectivity, according to the 2025 State of the Data Center Report from CoreSite ...

A perfect storm is brewing in cybersecurity — certificate lifespans shrinking to just 47 days while quantum computing threatens today's encryption. Organizations must embrace ephemeral trust and crypto-agility to survive this dual challenge ...

In MEAN TIME TO INSIGHT Episode 14, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud network observability... 

While companies adopt AI at a record pace, they also face the challenge of finding a smart and scalable way to manage its rapidly growing costs. This requires balancing the massive possibilities inherent in AI with the need to control cloud costs, aim for long-term profitability and optimize spending ...

Telecommunications is expanding at an unprecedented pace ... But progress brings complexity. As WanAware's 2025 Telecom Observability Benchmark Report reveals, many operators are discovering that modernization requires more than physical build outs and CapEx — it also demands the tools and insights to manage, secure, and optimize this fast-growing infrastructure in real time ...

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...