The size of the worldwide NDR market is expected to increase at a compound yearly growth rate (CAGR) of 9.6% from USD 3.68 billion in 2025 to USD 5.82 billion by 2030. The need for NDR solutions is being driven by the growing sophistication of cyberthreats, such as supply chain hacks, ransomware, and advanced persistent threats (APTs). Network complexity and attack surfaces are growing as hybrid and multi-cloud use increases. In order to protect digital assets, reduce dwell time, and guarantee business continuity, companies are investing in real-time threat detection, improved network visibility, and AI-driven reaction capabilities.
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The increasing sophistication of cyberattacks and the proliferation of encrypted traffic, IoT devices, and hybrid cloud environments are driving demand for NDR solutions. By providing real-time visibility, anomaly detection, and AI-driven threat response, NDR plays a critical role in helping organizations secure modern digital ecosystems. The integration of behavioral analytics, deep packet inspection, and automated response enhances SOC efficiency, reduces dwell time, and strengthens resilience against advanced threats. As enterprises adopt digital transformation and cloud-first strategies, NDR becomes essential for safeguarding sensitive data and business operations.
The solutions segment is expected to account for the largest market share
Based on offering, the solutions segment is expected to account for the largest market share. This dominance is driven by the growing need for real-time traffic analysis, behavioral analytics, anomaly detection, and deep packet inspection to counter increasingly sophisticated cyber threats. Enterprises are investing heavily in advanced NDR platforms that integrate with SIEM, SOAR, and EDR tools, enabling faster incident response and reducing the number of false positives. As organizations expand into hybrid and multi-cloud environments, scalable and AI-driven NDR solutions are becoming critical to securing east-west traffic, encrypted communications, and OT networks.
The enterprise IT networks segment is projected to hold the largest market share
Based on the network environment, the enterprise IT networks segment is expected to account for the largest market share. Enterprises are prioritizing NDR deployment across their IT networks to secure sensitive data, monitor complex environments, and detect insider threats. With the rise of remote work, cloud applications, and shadow IT, enterprise IT infrastructures have become prime targets for cyberattacks. NDR platforms deliver deep visibility into lateral movement and hidden threats, complementing endpoint and perimeter defenses. Large organizations, in particular, are leveraging NDR to modernize their SOCs and enhance incident investigation and threat hunting capabilities.
Asia Pacific is expected to record the highest CAGR during the forecast period
Asia Pacific is expected to grow at the highest CAGR during the forecast period. Rapid digital transformation, rising cybercrime, and increasing adoption of cloud, IoT, and 5G technologies are fueling demand for advanced detection and response solutions. Countries such as China, India, Japan, and Singapore are investing heavily in cybersecurity to protect critical infrastructure, financial systems, and enterprise IT environments. Government-led initiatives, compliance requirements, and a growing focus on AI-enabled security further accelerate adoption in the region. The rising presence of regional NDR vendors and partnerships with global providers also contribute to APAC’s strong growth trajectory.
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Unique Features in the Network Detection and Response Market
Real-time anomaly detection and streaming analytics — Modern NDR platforms continuously ingest high-velocity network telemetry and apply streaming analytics to spot deviations from normal traffic patterns as they occur. This reduces mean time to detection by surfacing suspicious flows, lateral movement, and data exfiltration attempts the moment they begin.
Behavioral baselining and entity profiling — Instead of relying only on static signatures, NDR builds dynamic baselines for users, hosts, applications, and devices so that subtle deviations (an unusual server talking to a strange external IP, or a user accessing sensitive data at odd hours) trigger high-fidelity alerts. These profiles evolve over time, improving detection of insider threats and compromised credentials.
Deep packet and metadata fusion — NDR combines metadata (flow records, DNS, NetFlow), packet captures, and session reconstruction to provide both broad visibility and the ability to drill down to packet-level evidence. That fusion lets analysts immediately validate alerts with raw context (payloads, protocol anomalies) for faster triage and investigation.
Encrypted traffic analysis without decryption — With increasing TLS adoption, standout NDR tools analyze traffic characteristics (fingerprinting, packet timing, JA3/JA3S, SNI behavior) and metadata to detect malicious activity inside encrypted streams without decrypting payloads. This preserves privacy and performance while still flagging suspicious encrypted tunnels and covert channels.
Major Highlights of the Network Detection and Response Market
The NDR market is expanding rapidly as organizations prioritize deep network visibility to detect sophisticated threats that evade traditional security tools. With attackers increasingly using stealthy, fileless, and encrypted tactics, NDR solutions provide real-time insights into all network activity, helping security teams identify malicious behaviors that other systems may miss.
A major highlight of the NDR market is the growing convergence with Endpoint Detection and Response (EDR), Extended Detection and Response (XDR), and Security Information and Event Management (SIEM) solutions. This integration enables unified threat detection across endpoints, users, and network layers, giving security operations centers (SOCs) a comprehensive view of incidents and faster response capabilities.
AI-driven analytics are transforming the NDR landscape by enabling systems to automatically learn normal behavior, detect anomalies, and correlate events without heavy manual tuning. Machine learning models allow NDR tools to spot zero-day exploits, insider threats, and lateral movement patterns early, reducing the time between detection and containment.
With the majority of internet traffic now encrypted, NDR vendors are innovating techniques to analyze encrypted traffic metadata without decryption. This allows detection of suspicious patterns such as command-and-control (C2) communication or data exfiltration while maintaining compliance with privacy regulations and minimizing network performance impact.
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Top Companies in the Network Detection and Response Market
The NDR market is led by some of the globally established players, such as Palo Alto Networks (US), Cisco (US), IBM (US), OpenText (Canada), HPE (US), Darktrace (UK), Rapid7 (US), Fortinet (US), NetScout (US), Sangfor (China), Stellar Cyber (US), ExtraHop (US), Vectra AI (US), Arista Networks (US), IronNet (US), Trellix (US), NetWitness (US), Sophos (UK), Corelight (US), Stamus Networks (US), Lumu Technologies (US), Logpoint (Denmark), ManageEngine (US), Verizon (US), Gatewatcher (France), ThreatBook (China), Gigamon (US), NIKSUN (US), Hillstone Networks (US), LinkShadow (US), Broadcom (US), Plixer (US), and Exeon (Switzerland). Partnerships, agreements, collaborations, acquisitions, and product developments are various growth strategies these players adopt to increase their market presence.
ExtraHop (US)
ExtraHop is a leading provider in the Network Detection and Response (NDR) space, recognized for its cloud-native security solutions that deliver real-time visibility, detection, and response across hybrid and multi-cloud environments. Its flagship platform, Reveal(x), leverages AI, behavioral analytics, and deep packet inspection to detect advanced threats, including ransomware, supply chain attacks, and zero-day exploits. ExtraHop enables enterprises to secure complex IT, OT, and IoT networks by providing context-rich insights and automated response capabilities. With strong adoption in sectors such as BFSI, healthcare, government, and technology, ExtraHop positions itself as a key player in proactive cybersecurity defense.
Corelight (US)
Corelight is a key player in the Network Detection and Response (NDR) space, specializing in open-source-driven network visibility and threat detection solutions. Built on Zeek, Corelight’s platform provides high-fidelity network evidence, enriched metadata, and advanced analytics to detect sophisticated attacks. Its solutions help security teams accelerate investigations, improve incident response, and reduce dwell time by delivering deep visibility across enterprise, cloud, and hybrid networks. Widely adopted by Fortune 500 companies, government agencies, and research institutions, Corelight distinguishes itself with its open architecture, scalability, and seamless integration capabilities with SIEM, SOAR, and EDR tools, enabling enhanced security operations.
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