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Network Detection and Response (NDR) Market

Network Detection and Response (NDR) Market - Global Forecast to 2029

Report Code: UC-TC-6780 May, 2025, by marketsandmarkets.com

The global Network Detection and Response (NDR) Market size is projected to grow from USD XX billion in 2024 to USD XX billion by 2029 at a Compound Annual Growth Rate (CAGR) of XX.X% during the forecast period. The NDR market is significantly driven by the increasingly frequent and sophisticated cyberattacks, as well as network infrastructures that are rapidly becoming more complex. Over time, cyber threats are evolving such that attackers use advanced techniques beyond the traditional security measures, increasing the need for more significant detection and response capabilities. The increasing number of IoT devices, along with cloud services, complicates network environments even more, creating additional vulnerabilities. In order to detect threats, organizations are compelled to adopt NDR solutions that can give real-time monitoring and analytics.

Network Detection and Response (NDR) Market

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Attractive Opportunities in Network Detection and Response (NDR) Market

Impact of AI/GEN AI the Network Detection and Response (NDR) Market

The integration of Gen AI in the NDR market has changed the cybersecurity practices through enhanced detection and response capabilities. Gen AI uses advanced algorithms to examine extensive network data in real time, detecting anomalies and probable threats more efficiently than traditional methods. This enables an organization to anticipate and address the risk before it becomes an influential breach. It continuously learns from evolving threats, thereby changing its models to enhance the accuracy of detection of sophisticated cyberattacks. As a result, security teams can respond more quickly, streamline operations, and strengthen their defenses against an increasingly complex threat landscape.

Impact of Gen AI in AI in Network Detection and Response (NDR) Market

Network Detection and Response (NDR) Market Dynamics

Driver: Increasing frequency of sophisticated cyberattacks

According to Check Point, organizations suffered an average of 1,876 cyberattacks in the third quarter of 2024, which is up 75% from the third quarter of 2023 and 15% from the previous quarter. The rising cyberattacks cause organizations to deploy network security measures that can effectively detect and respond to such risks. NDR utilizes AI and ML algorithms for carrying out deep inspection of network traffic and detecting anomalies such as possible breach. It is important because other security measures tend to become outdated against modern tactics from the cybercriminal. Therefore, NDR technologies have been largely invested in by companies so as to improve their security position and effectively mitigate the potential risks caused by these evolving threats.

Restraint: Shortage of skilled professionals

The lack of skilled professionals is one of the significant challenges to growth of the NDR market, as deployment and management of NDR solutions require deep domain knowledge in cybersecurity, network management, and data analytics. The persistent gap has created many challenges for organizations trying to find qualified personnel who can effectively utilize such complex tools. This shortage in expertise not only does not only complicate the process but also limits the capabilities that these solutions can unlock within organizations. As a result, this skills gap forms a major restraint toward an increasingly robust network security system coupled with prompt threat responses for the evolving threat landscape.

Opportunity: Increased focus on incident response automation

With growing cyber threats, the need for swift and effective incident management has become crucial for organizations. NDR solutions, which utilize AI and machine learning, can automate such critical tasks as threat detection and response, thus reducing the time security teams spend on manual processes. Automation ensures that security staff focuses on strategic choices while also improving incident response effectiveness. Thus, it would improve security posture and resilience against ongoing attacks to incorporate incident response capabilities with automation in the NDR solution.

Challenge: Barries for adoption in highly regulated industries

In the NDR market, adoption barriers in extremely regulated industries such as healthcare and BFSI represent a crucial challenge. There is often a barrier presented by compliance with a host of rules and regulations that are typically believed to represent a tremendous drag on innovation and prolong implementation of sophisticated technologies, so the fear of technology translates into being reluctant to adopt a particular solution due to such rigid regulations that are likely to be strictly followed. The necessity for thorough validation and documentation makes the integration of NDR systems complicated, making it challenging for organizations to respond quickly to emerging cyber threats in terms of compliance with industry standards.

Network Detection and Response (NDR) Market Ecosystem

The NDR market ecosystem comprises solution providers and service providers, and end users such as BFSI, travel and hospitality, government, public sector, healthcare and life sciences, automotive, retail and E-commerce, IT & ITeS, education and others. Regulatory authorities and standardization bodies also play a crucial role in influencing market trends, innovations, and an organization's NDR strategies.

Network Detection and Response (NDR) Market Ecosystem

 

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“By offering, the solution/platform segment accounts for the largest market size during the forecast period.”

The solutions segment is expected to hold the highest market share in the NDR market because of an ever-increasing requirement for enhanced security measures against cyber threats. Organizations are investing in NDR solutions that can incorporate leading-edge technologies, such as machine learning, user behavior analytics, and automation to enhance threat detection and response capabilities. With sophisticated cyberattacks, the traditional security measures become less effective. It is because of this reason that organizations are switching to complete NDR platforms for real-time monitoring and analysis of network traffic. Such evolution becomes crucial for organizations to secure their networks from the emergent threats across diverse environments, whether it is an on-premises infrastructure or cloud.

“By deployment mode, the cloud NDR segment is to grow at the highest CAGR during the forecast period.”

Organizations have been increasingly shifting to cloud-based infrastructures, which has led to an increase in demand for advanced security solutions more so built on these environments. Since cloud networks offer scalability, flexibility, and economy, they are particularly attractive for business systems modernization initiatives. The diversity and complexity of cloud platforms, however, present some challenges in security management. Thus, there is a need for strong NDR solutions which guarantee real-time visibility while going for efficient threat detection. This makes the reliance on cloud environments as fastened up cloud-based NDR services, which becomes the need to keep guarded modern IT infrastructures safe and sound. Therefore, the cloud deployment mode is expected to grow at the highest growth rate in the NDR market.

“By region, North America accounts for the highest market share during the forecast period.”

North America is leading the way in the Network Detection and Response market, due to this region's early adoption of the most advanced cybersecurity technologies coupled with stringent data protection regulation. Organizations in this region have been more concerned with improving network security with more developed cyberattacks. The number of large enterprises and the adoption of proactive strategies for dealing with vulnerabilities at the network level are other factors that add on to North America's lead position in this market. The increasing adoption of remote work has also increased demand for reliable internal network protection, and NDR solutions have become critical to protecting sensitive information in key industries, such as finance and healthcare.

Network Detection and Response (NDR) Market by Offering

Key Market Players

The key players in the NDR Market are Cisco (US), Cognyte (Israel), ExtraHop (US), Arista (US), Corelight (US), Gatewatcher (France), Darktrace (UK), Vectra AI (US), Hillstone Networks (China), Trend Micro (Japan), Palo Alto Networks (US), Broadcom (US), Stellar Cyber (US), Sangfor Technologies (China), Fortinet (US), Trellix (US), Netwitness (US), LinkShadow (US), Plixer (US), Exeon (Switzerland), IronNet (US), Sophos (UK), NetScout (US), MixMode (US), NSFOCUS (China), Progress (US) and other key players.

Recent Developments:

  • In November 2024, Arelion expanded its partnership with NETSCOUT to bolster global DDoS mitigation on its Internet backbone, enhancing network security and response capabilities for enterprises in critical sectors like finance and government.
  • In November 2024, Morgan Business Consulting (MBC) partnered with IronNet to bolster cybersecurity in the Defense Industrial Base (DIB) by leveraging IronNet's Network Detection and Response (NDR) technology for enhanced threat visibility and proactive defense.
  • In June 2024, Trend Micro launched an Inline Network Detection and Response (NDR) solution that provides real-time visibility and automated threat responses, enhancing organizational security across various functions.
  • In January 2023, Sophos launched a Network Detection and Response (NDR) solution that uses advanced analytics and machine learning to detect cyber threats like unauthorized devices and zero-day attacks, integrating with its Managed Detection and Response (MDR) service for comprehensive threat analysis and rapid response.
  • In January 2023, IronNet has upgraded its IronDefense NDR solution to enhance threat visibility and detection capabilities, with new features including advanced activity recognition, auto commissioning, and seamless integration with tools from SentinelOne, CarbonBlack, and CrowdStrike.

Frequently Asked Questions (FAQ):

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TABLE OF CONTENTS
 
1 INTRODUCTION
    1.1 STUDY OBJECTIVES
    1.2 MARKET DEFINITION
           1.2.1 INCLUSIONS & EXCLUSIONS
    1.3 MARKET SCOPE
           1.3.1 MARKET SEGMENTATION
           1.3.2 YEARS CONSIDERED
    1.4 CURRENCY CONSIDERED
    1.5 STAKEHOLDERS
 
2 RESEARCH METHODOLOGY
    2.1 RESEARCH DATA
           2.1.1 SECONDARY DATA
           2.1.2 PRIMARY DATA
                    2.1.2.1 Breakup of Primaries
                    2.1.2.2 Key Industry Insights
    2.2 MARKET BREAKUP AND DATA TRIANGULATION
    2.3 MARKET SIZE ESTIMATION
           2.3.1 TOP-DOWN APPROACH
           2.3.2 BOTTOM-DOWN APPROACH
    2.4 MARKET FORECAST
    2.5 RESEARCH ASSUMPTIONS
    2.6 STUDY LIMITATIONS
 
3 EXECUTIVE SUMMARY 
 
4 PREMIUM INSIGHTS
    4.1 BRIEF OVERVIEW OF THE NETWORK DETECTION AND RESPONSE MARKET
    4.2 NETWORK DETECTION AND RESPONSE MARKET, BY OFFERING
    4.3 NETWORK DETECTION AND RESPONSE MARKET, BY DEPLOYMENT MODEL 
    4.4 NETWORK DETECTION AND RESPONSE MARKET, BY ORGANIZATION SIZE 
    4.5 NETWORK DETECTION AND RESPONSE MARKET, BY VERTICAL
    4.6 MARKET INVESTMENT SCENARIO: REGIONAL ANALYSIS
  
 
5 MARKET OVERVIEW AND INDUSTRY TRENDS
    5.1 INTRODUCTION
    5.2 MARKET DYNAMICS
           5.2.1 DRIVERS
           5.2.2 RESTRAINTS
           5.2.3 OPPORTUNITIES
           5.2.4 CHALLENGES
    5.3 IMPACT OF AI/GEN AI ON NETWORK DETECTION AND RESPONSE MARKET
           5.3.1 TOP USE CASES AND MARKET POTENTIAL
           5.3.2 IMPACT OF AI/GEN AI ON INTERCONNECTED AND ADJACENT ECOSYSTEMS
    5.4 CASE STUDY ANALYSIS
    5.5 VALUE CHAIN ANALYSIS
    5.6 ECOSYSTEM
    5.7 PORTER’S FIVE FORCES ANALYSIS
    5.8 PRICING ANALYSIS
    5.9 TECHNOLOGY ANALYSIS
           5.9.1 KEY TECHNOLOGIES
           5.9.2 COMPLEMENTARY TECHNOLOGIES
           5.9.3 ADJACENT TECHNOLOGIES
    5.1 PATENT ANALYSIS
    5.11 REGULATORY LANDSCAPE
           5.11.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    5.12 KEY STAKEHOLDERS & BUYING CRITERIA
           5.12.1 KEY STAKEHOLDERS IN BUYING PROCESS
           5.12.2 BUYING CRITERIA
    5.13 TRENDS/DISRUPTIONS IMPACTING CUSTOMER'S BUSINESS 
    5.14 KEY CONFERENCES AND EVENTS (2024-2025)
    5.15 INVESTMENT AND FUNDING SCENARIO
    5.16 ATTACK-TYPE DETECTION COVERAGE
           5.16.1 RANSOMWARE
           5.16.2 APT
           5.16.3 DDOS ATTACK
           5.16.4 INSIDER THREAT
           5.16.5 PHISHING AND SOCIAL ENGINEERING ATTACK
 
  
6 NETWORK DETECTION AND RESPONSE MARKET, BY OFFERING
    6.1 INTRODUCTION
           6.1.1 OFFERING:  NETWORK DETECTION AND RESPONSE MARKET DRIVERS
    6.2 SOLUTIONS/PLATFORMS
           6.2.1 NETWORK TRAFFIC ANALYSIS (NTA) TOOLS
           6.2.2 DEEP PACKET CAPTURE/INSPECTION TOOLS
           6.2.3 INTRUSION DETECTION & PREVENTION SYSTEMS (IDPS)
           6.2.4 INTEGRATED THREAT INTELLIGENCE
           6.2.5 EDR INTEGRATION
           6.2.6 OTHERS (SIEM INTEGRATION/ SOAR INTEGRATION)
    6.3 SERVICES 
           6.3.1 PROFESSIONAL SERVICES
                    6.3.1.1 Design, Consulting, Integration, and Implementation
                    6.3.1.2 Risk & Threat Assessment
                    6.3.1.3 Training & Education
                    6.3.1.4 Support & Maintenance
           6.3.2 MANAGED SERVICES
 
7 NETWORK DETECTION AND RESPONSE MARKET, BY DEPLOYMENT MODE 
    7.1 INTRODUCTION
           7.1.1 DEPLOYMENT MODE:  NETWORK DETECTION AND RESPONSE MARKET DRIVERS
    7.2 CLOUD NDR
    7.3 ON-PREMISES NDR
 
8 NETWORK DETECTION AND RESPONSE MARKET, BY ORGANIZATION SIZE
    8.1 INTRODUCTION
           8.1.1 ORGANIZATION SIZE:  NETWORK DETECTION AND RESPONSE MARKET DRIVERS
    8.2 SMES
    8.3 LARGE ENTERPRISES
 
9 NETWORK DETECTION AND RESPONSE MARKET, BY VERTICAL 
    9.1 INTRODUCTION
           9.1.1 VERTICAL:  NETWORK DETECTION AND RESPONSE MARKET DRIVERS
    9.2 BFSI
    9.3 TRAVEL & HOSPITALITY
    9.4 GOVERNMENT 
    9.5 PUBLIC SECTOR
    9.6 HEALTHCARE & LIFE SCIENCES
    9.7 AUTOMOTIVE
    9.8 RETAIL & E-COMMERCE
    9.9 IT & ITES
    9.1 EDUCATION
    9.11 OTHERS VERTICALS 
 
10 NETWORK DETECTION AND RESPONSE MARKET, BY REGION
     10.1 INTRODUCTION
     10.2 NORTH AMERICA
             10.2.1 NORTH AMERICA: NETWORK DETECTION AND RESPONSE MARKET DRIVERS
             10.2.2 NORTH AMERICA: MACROECONOMIC OUTLOOK
             10.2.3 UNITED STATES (US)
             10.2.4 CANADA
     10.3 EUROPE
             10.3.1 EUROPE: NETWORK DETECTION AND RESPONSE MARKET DRIVERS
             10.3.2 EUROPE: MACROECONOMIC OUTLOOK
             10.3.3 UNITED KINGDOM (UK)
             10.3.4 GERMANY
             10.3.5 FRANCE
             10.3.6 ITALY
             10.3.7 REST OF EUROPE
     10.4 ASIA PACIFIC
             10.4.1 ASIA PACIFIC: NETWORK DETECTION AND RESPONSE MARKET DRIVERS
             10.4.2 ASIA PACIFIC: MACROECONOMIC OUTLOOK
             10.4.3 CHINA
             10.4.4 JAPAN
             10.4.5 INDIA
             10.4.6 SINGAPORE
             10.4.7 AUSTRALIA AND NEW ZEALAND
             10.4.8 REST OF ASIA PACIFIC
     10.5 MIDDLE EAST AND AFRICA 
             10.5.1 MIDDLE EAST AND AFRICA: NETWORK DETECTION AND RESPONSE MARKET DRIVERS
             10.5.2 MIDDLE EAST AND AFRICA: MACROECONOMIC OUTLOOK
             10.5.3 GCC
                       10.5.3.1 KSA
                       10.5.3.2 UAE
                       10.5.3.3 Rest of GCC Countries
             10.5.4 SOUTH AFRICA
             10.5.5 REST OF MIDDLE EAST AND AFRICA
     10.6 LATIN AMERICA
             10.6.1 LATIN AMERICA: NETWORK DETECTION AND RESPONSE MARKET DRIVERS
             10.6.2 LATIN AMERICA: MACROECONOMIC OUTLOOK
             10.6.3 BRAZIL
             10.6.4 MEXICO
             10.6.5 REST OF LATIN AMERICA
(Please note: Chapters 6 to 10 might change a bit during the market study)
 
11 COMPETITIVE LANDSCAPE
     11.1 KEY PLAYER STRATEGIES/RIGHT TO WIN 
     11.2 BRAND/PRODUCT COMPARISON
     11.3 COMPANY VALUATION AND FINANCIAL METRICS
     11.4 REVENUE ANALYSIS
     11.5 MARKET SHARE ANALYSIS
     11.6 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023
             11.6.1 STARS
             11.6.2 EMERGING LEADERS
             11.6.3 PERVASIVE PLAYERS
             11.6.4 PARTICIPANTS
             11.6.5 COMPANY FOOTPRINT: KEY PLAYERS, 2023
                       11.6.5.1 Company Footprint
                       11.6.5.2 Region Footprint
                       11.6.5.3 Deployment Mode Footprint
                       11.6.5.4 Organization Size Footprint
                       11.6.5.5 Vertical Footprint
     11.7 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2023
             11.7.1 PROGRESSIVE COMPANIES
             11.7.2 RESPONSIVE COMPANIES
             11.7.3 DYNAMIC COMPANIES
             11.7.4 STARTING BLOCKS
             11.7.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2023
                       11.7.5.1 Detailed List of Key Startups/SMEs
                       11.7.5.2 Competitive Benchmarking of Key Startups/SMEs
     11.8 KEY MARKET DEVELOPMENTS
             11.8.1 NEW LAUNCHES
             11.8.2 DEALS
 
12 COMPANY PROFILES
     12.1 KEY PLAYERS
             12.1.1 CISCO
             12.1.2 COGNYTE
             12.1.3 EXTRAHOP
             12.1.4 ARISTA
             12.1.5 CORELIGHT
             12.1.6 GATEWATCHER
             12.1.7 DARKTRACE
             12.1.8 VECTRA AI
             12.1.9 HILLSTONE NETWORKS
               12.1.10 TREND MICRO
               12.1.11 PALO ALTO NETWORKS
               12.1.12 BROADCOM
               12.1.13 STELLAR CYBER
               12.1.14 SANGFOR TECHNOLOGIES
               12.1.15 FORTINET
               12.1.16 TRELLIX
               12.1.17 NETWITNESS
               12.1.18 LINKSHADOW
               12.1.19 PLIXER
               12.1.20 EXEON
               12.1.21 IRONNET
               12.1.22 SOPHOS
               12.1.23 NETSCOUT
               12.1.24 MIXMODE
               12.1.25 NSFOCUS
               12.1.26 PROGRESS
     12.2 OTHER KEY PLAYERS
(*At least 25 vendors will be shortlisted for profiling as the research progresses. A Financial Snapshot will be provided for publicly listed companies only. The client can suggest vendors to be profiled as well)
 
13 ADJACENT MARKETS
     13.1 INTRODUCTION 
     13.2 LIMITATIONS
     13.3 NETWORK DETECTION AND RESPONSE: ADJACENT MARKETS
             13.3.1 NETWORK SECURITY MARKET
             13.3.2 EXTENDED DETECTION AND RESPONSE (XDR) MARKET
 
14 APPENDIX
     14.1 DISCUSSION GUIDE
     14.2 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
     14.3 CUSTOMIZATIONS OPTIONS
     14.4 RELATED REPORTS
     14.5 AUTHOR DETAIL
 

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