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:
Read Complimentary Relevant Research
Laying the Foundation for Artificial Intelligence and Machine Learning: A Gartner Trend Insight Report
Now more than ever, technical professionals must focus on developing the foundational components needed to support artificial intelligence...
View Relevant Webinars
State of Data Security
Warning: Your data is not all neatly defined, structured, organized and secured in your datacenter. Determining or defining the data...
Comments or opinions expressed on this blog are those of the individual contributors only, and do not necessarily represent the views of Gartner, Inc. or its management. Readers may copy and redistribute blog postings on other blogs, or otherwise for private, non-commercial or journalistic purposes, with attribution to Gartner. This content may not be used for any other purposes in any other formats or media. The content on this blog is provided on an "as-is" basis. Gartner shall not be liable for any damages whatsoever arising out of the content or use of this blog.