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New Magic Quadrant : Network Performance Monitoring and Diagnostics

By Jonah Kowall | March 09, 2014 | 11 Comments

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After a very long process going back over a year as we began to formulate this new market segment and research around the network performance space. Colin Fletcher, Vivek Bhalla, and myself have published two notes around this new market, leading up to this  Magic Quadrant. This is the first release of the research, we felt it was critical to get this out before software defined networking (SDN) and other elements of network function virtualization (NFV) make network monitoring and diagnostics even more complex than they are today.

“At an estimated $1 billion, the NPMD market is a fast-growing segment of the larger network management space ($1.8 billion in 2012), and overlaps slightly with aspects of the application performance monitoring (APM) space ($2 billion in 2012).”

More info on the changes network professionals are grappling with and how the current generation of NPM tools falls short:

“however, these efforts have typically been hampered by technology limitations and isolated implementation. This approach, while delivering moderately satisfactory results for many years, has proven inadequate in the face of several key shifts, including:

  • Rising demand for network services and end-user expectations of their quality
  • Growing appreciation of the network as a critical component of IT services and as an agnostic, trusted source of cross-domain availability and performance data
  • Exponential growth in application and infrastructure dynamism and complexity

Each of these shifts has pressured network teams to rethink their tooling strategy, so that they can get the visibility they need to truly monitor and troubleshoot the performance of their network resources in the context of the applications and services they support.”

We highlight solutions from AppNeta, CA Technologies, Corvil, Fluke Networks, Genie Networks, HP, Infovista, JSDU (via Network Instruments acquisition), Lancope, NetScout Systems, Niksun, Orsyp, Paessler, Riverbed, and SevOne.

The inclusion criteria for this research include technical and business execution hurdles as outlined in our criteria document.

The new research (sorry subscribers only) is available here:

Magic Quadrant for Network Performance Monitoring and Diagnostics

 

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11 Comments

  • GP says:

    Jonah – thanks for sharing this research product. I recently stumbled upon some interesting open source projects – Security Onion and Snorby. They are in the NSM space. The quality of Snorby’s GUI was impressive. Read more here…
    http://openopsiq.com/2014/03/10/network-performance-monitoring-and-diagnostics-security-onion-and-snorby/

  • Chris says:

    Hi Jonah – in a post from 2012, you mentioned your research would have a focus on VoIP monitoring tools. However, it appears the solutions highlighted are not VoIP-focused tools. Is there a plan to issue a magic quadrant with a focus on the VoIP monitoring space?

  • Jonah Kowall says:

    We published a lot of research on UC and Voice last year, I blogged on it. We don’t anticipate making another MQ for UC management, but it’s included in this NPMD MQ.

    https://blogs.gartner.com/jonah-kowall/2013/03/28/how-to-manage-unified-communications-research-published/

  • David Kowal says:

    Thank you Jonah for this post and information. Very informative. Question, how do you quantify the NPM vs APM space? Are there a certain set of metrics for the breakdown and delineation? I see some overlap between these two, at least from the marketing material published by certain vendors. Thank you.

    • Jonah Kowall says:

      David : That’s quite a long question to answer, but generally speaking they target different buyers with different needs. If you read both magic quadrants you’ll see buyers clearly identified. Many NPM products message towards APM, but most of the use cases are quite limited.

  • A great article Jake. I really like the guidance on hiding the complexity. Also, it gets me thinking that there may be more to the dip in customer experience spend in the latest data. Though “customer experience” spending may be taking a back seat to things like spending on digital commerce, social marketing and marketing analytics as standalone categories, there may be hidden spend as these elements are not necessarily mutually exclusive in nature. For example, there may be a fair amount of digital commerce spend that are centered on making a product easier, faster or more enjoyable to buy (i.e. hiding the complexity). Ultimately, it may be an increasing reality that customer experience and customer journey priorities will be more readily approved when they are attached to specific outcomes, such as the revenue that flows from digital commerce.

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