- Has the second highest revenue in NDR
- Distinguishes itself as the only vendor to combine NDR, NPM, IDS, and forensics in a single platform for unprecedented visibility, threat detection and response
- Recognized as a Leader by Gartner, Forrester, and IDC
ExtraHop, a leader in modern network detection and response (NDR), today announced that it has been named a Leader in the inaugural Gartner Magic Quadrant for Network Detection and Response.
In addition, ExtraHop has also been recognized as a Leader in both The Forrester Wave™: Network Analysis And Visibility, Q2 2023 and the IDC MarketScape: Worldwide Network Detection and Response 2024 Vendor Assessment.
ExtraHop is revolutionizing enterprise security with its modern NDR platform, a consolidated solution that uniquely combines the power of NDR, network performance management (NPM), intrusion detection (IDS), and forensics. This dynamic integration offers organizations the most comprehensive NDR offering in the market, delivering complete visibility across hybrid cloud and on-premises networks with rich, contextual insights that help SOC teams quickly detect and respond to threats.
As a Leader in the Gartner Magic Quadrant for NDR, ExtraHop was evaluated for its Completeness of Vision and Ability to Execute. ExtraHop also has the second highest revenue in NDR for the 2024 fiscal year, according to the Gartner Market Share: Overall Enterprise Network Equipment Market, Worldwide, 4Q24 and 2024. This is the third year in a row that ExtraHop has the second highest revenue in NDR.
“We are energized by the momentum in the NDR market, a space where ExtraHop has been recognized as a Leader by Gartner, Forrester, and IDC,” said Rob Greer, CEO, ExtraHop. “For nearly two decades, ExtraHop has been synonymous with unparalleled visibility, real-time insights, and the most in-depth network telemetry that drives real results. That kind of legacy provides a strong foundation for us to continue to evolve and develop modern NDR solutions that are tackling SOC teams' biggest pain points.”
The ExtraHop NDR platform enables customers to:
- Consolidate security tools with an enterprise-grade solution: Unify network traffic analysis across complex, hybrid enterprise networks with the industry’s first all-in-one sensor.
- Streamline operations with centralized network visibility and analysis: Go beyond threat detection - manage the attack surface, determine blast radius, conduct thorough forensics, monitor performance, and so much more - with an integrated platform approach.
- Stop more threats with in-depth network insights: Spot suspicious activity faster than other solutions with the ability to decrypt encrypted traffic, decode 90+ protocols, and analyze full network packets in real time, at cloud-scale.
- Enhance existing investments with a robust integration ecosystem: Correlate rich network insights with partners like CrowdStrike, Netskope, and Palo Alto Networks to streamline workflows and automate response.
- Boost SOC productivity with industry-leading AI features: Prioritize alerts, threat hunt, and automate investigations and response with a comprehensive suite of intelligent AI capabilities.
To read a complimentary copy of the 2025 Gartner Magic Quadrant for Network Detection and Response, click here.
Additional Resources
- See why ExtraHop was named a Leader by IDC and received the highest strategy rating in the IDC MarketScape: Worldwide Network Detection and Response 2024 Vendor Assessment.
- Read why ExtraHop was named a Leader by Forrester - earning the highest possible scores in 20 out of 29 criteria - in The Forrester Wave™: Network Analysis And Visibility, Q2 2023.
IDC MarketScape: Worldwide Network Detection and Response 2024 Vendor Assessment (doc #US51752324, November 2024)
The Forrester Wave™: Network Analysis And Visibility, Q2 2023, Forrester Research, Inc, June 27, 2023
Gartner, Magic Quadrant for Network Detection and Response 2025, By Thomas Lintemuth, Esraa ElTahawy, John Collins, Charanpal Bhogal, 29 May 2025
Gartner, Market Share: Enterprise Network Equipment by Market Segment, Worldwide, 4Q24 and 2024, By Christian Canales and Gurjyot Uppal, 30 April 2025
Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally, MAGIC QUADRANT is a registered trademark of Gartner, Inc. and/or its affiliates and is used herein with permission. All rights reserved.
About ExtraHop®
ExtraHop empowers enterprises to stay ahead of evolving threats with the most comprehensive approach to network detection and response (NDR).
Since 2007, the company has helped organizations across the globe extract real-time insights from their hybrid networks with the most in-depth network telemetry. ExtraHop uniquely combines NDR, network performance management (NPM), intrusion detection (IDS), and forensics in a single, integrated console for complete network visibility and unparalleled context that supports data-driven security decisions. With a powerful all-in-one sensor and cloud-scale machine learning, the ExtraHop RevealXTM platform enhances SOC productivity, reduces overhead, and elevates security postures.
Unlock the full power of network detection and response with ExtraHop. To learn more, visit www.extrahop.com or follow us on LinkedIn.
© 2025 ExtraHop Networks, Inc., RevealX, RevealX 360, RevealX Enterprise, and ExtraHop are registered trademarks or trademarks of ExtraHop Networks, Inc.
View source version on businesswire.com: https://www.businesswire.com/news/home/20250602417782/en/
Contacts
ExtraHop Contact
pr@extrahop.com