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2019 Network Performance Monitoring and Diagnostics (NPMD) Magic Quadrant Inclusion Criteria

by Sanjit Ganguli  |  July 25, 2018  |  Submit a Comment

We are kicking off the research period for the 2019 Network Performance Monitoring and Diagnostics (NPMD) Magic Quadrant and Critical Capabilities research notes. The Inclusion Criteria for this year’s MQ/CC are listed below:

  1. Magic Quadrant Market Definition

Gartner’s view of the market is focused on transformational technologies or approaches delivering on the future needs of end users. It is not focused on the market as it is today.

Gartner defines the Network Performance Monitoring and Diagnostics Market (herein referred to as NPMD) as:

NPMD tools allow for IT operations to understand the performance of applications, the network and infrastructure components via network instrumentation. Additionally, these tools provide insight into the quality of end user experience. The goal of NPMD products is not only to monitor the network components to facilitate outage and degradation resolution, but also to identify performance optimization opportunities. This is conducted via diagnostics, analytics and debugging capabilities to complement additional monitoring of today’s complex IT environments.

This market is a segment of the larger network management space (which includes network automation and network packet brokers) and the IT operations monitoring space (which includes AIOps, APM, DEM and ITIM). Gartner estimates the size of the NPMD tools market at $2.2 billion.

Note that analysts reserve the right to update the market definition as they progress through the research process.  You will be explicitly notified of the change(s) should this happen.

  1. Magic Quadrant Inclusion Criteria

The inclusion criteria represent the specific attributes that analysts believe are necessary for inclusion in this research.

To qualify for inclusion, vendors will be required to meet the following criteria to be considered for the 2019 NPMD Magic Quadrant and Critical Capabilities:

  • The ability to monitor, diagnose and generate alerts for:
    • Network endpoints — servers, virtual machines, containers, storage systems or anything with an IP address by measuring these components directly in combination with a network perspective. This includes IoT, cloud-hosted and wireless endpoints.
    • Network components — such as routers, switches and other network devices. This includes SDN and NFV components.
    • Network links — connectivity between network-attached infrastructure.
  • The ability to monitor, diagnose and generate alerts for dynamic end-to-end network service delivery as it relates to:
    • Digital experience monitoring — the capture of data about how end-to-end application availability, latency and quality appear to the end user from a network perspective. This is limited to the network traffic visibility and not within components such as what application performance monitoring (APM) is able to accomplish.
    • Networked application monitoring — the speed and overall quality of networked application delivery to the user in support of key business activities, as defined by the operator of the NPMD product.
    • Infrastructure component interactions — the focus on infrastructure components as they interact via the network, as well as the network delivery of services or applications. This includes the ability to provide network path analytics.
  • Support for analysis of:
    • Real-time performance and behaviors — essential for troubleshooting in the current state of the environment.
    • Historical performance and behaviors — to help understand what occurred or what is trending over time.
    • Predictive behaviors by leveraging analytics technologies (as defined in AIOps) — the ability to distill and create actionable advice from the large dataset collected across the various data sources.
  • The ability to directly ingest at least two of the following data sources:
    • Network device generated health data.
    • Network device generated traffic data, including flow-based data sources inclusive of NetFlow and IPFIX.
    • Raw network packet analysis to identify application types and performance characteristics.
  • The ability to support one of the scalability and performance requirements:
    • Real-time monitoring of 10 gigabit (10G) Ethernet networks at full line rate.
    • Ingest sampled flow records at a rate of 100,000 flows per second via a single instance of the product.
  • Packaging
    • The solution must include all ingestion, monitoring and analysis NPMD capabilities described above across no more than three individual products.
    • The solution must provide the ability to use all its ingestion, monitoring and analysis functionality in a coordinated, integrated, and consistent manner supporting the discipline of NPMD.
    • The solution or any of its components must not have a functional or commercial dependency on other products or services provided by the vendor itself or other vendors (for example, NPMD functionality provided as a feature of a public cloud service or PaaS offering).

Non-product Related Criteria

Show relevance to Gartner clients by meeting at least one of the following:

  • More than $50 million of GAAP product revenue in the NPMD market for calendar year 2017 (CY2017). This is to be signed off by a financial officer of your organization.
  • More than $20 million of GAAP product revenue in the NPMD market for CY2017 and a 30% growth rate between CY2016 and CY2017. This is to be signed off by a financial officer of your organization.

Show relevance to Gartner clients by meeting the following:

  • The vendor must have at least 75 customers that use its NPMD product actively in a production environment, including the use of each supported data source.
  • The vendor must have at least 10 customers located in at least two of the following geographic locations: North America, Latin America, EMEA and/or APAC that use its NPMD product actively in a production environment.

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Sanjit Ganguli
Research Director
2 years at Gartner
17 years IT Industry

Sanjit Ganguli is a Research Director with Gartner's IT Systems, Security and Risk research group. His primary focus is on network and application performance management. Read Full Bio

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