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1876863

網路偵測與回應 (NDR) 全球市場（2024-2029年）

Network Detection and Response (NDR) Sector, Global, 2024-2029

出版日期: 2025年10月06日 | 出版商:

Frost & Sullivan | 英文 47 Pages | 商品交期: 最快1-2個工作天內

價格

簡介目錄

在日益成長的安全性和 IT 複雜性的背景下，NDR 的採用率推動變革性成長。

網路偵測與回應（NDR）的需求已遠遠超出基本的邊界防禦和傳統入侵偵測。如今，NDR 已成為網路安全的關鍵層級，使組織能夠偵測、調查和回應那些繞過傳統工具的威脅。隨著企業加速採用雲端運算、擴展遠端辦公以及應用物聯網和人工智慧，網路環境變得日益動態和複雜。這造成了安全盲區，攻擊者可以利用加密流量、橫向移動和高級技術來攻擊這些盲區。

僅依賴終端安全或防火牆不再有效，因為威脅行為者很容易繞過傳統防禦措施。隨著資料外洩成本的持續攀升，企業需要對東西向和南北向流量進行深入的即時監控，以便在潛在威脅造成財務和營運損失之前將其發現。現代網路偵測與回應（NDR）解決方案透過先進的行為分析、人工智慧驅動的異常偵測和主動威脅搜尋來提供這種視覺性，有助於減少誤報並縮短回應時間。 NDR 可與終端偵測與回應（EDR）、擴展偵測與回應（XDR）以及安全資訊與事件管理（SIEM）協同工作，實現統一、全面的防禦。

全球NDR市場正快速擴張，其驅動力包括對加密流量的持續監控和檢測需求，以及人工智慧和機器學習領域投資的不斷成長。北美市場佔據主導地位，其次是歐洲、中東和非洲（EMEA）以及亞太地區。然而，拉丁美洲市場仍有待開發，蘊藏著巨大的成長潛力。

摘要，NDR 是建構主動且具韌性的網路安全態勢的基礎。隨著威脅日益複雜化和攻擊面不斷擴大，金融、政府、醫療保健和科技業的組織將越來越依賴 NDR 來獲得保護關鍵資產和降低風險所需的可見度、速度和信心。

收入預測

基準年收入預測為 26.152億美元，在2024年至2029年的研究期間內，年複合成長率將達到 23.1%。

分析範圍

NDR 持續監控網路流量，以即時偵測、調查和回應混合環境和雲端環境中的已知和未知威脅。
NDR 市場包括幾種類型的供應商：純粹的NDR 供應商、大規模安全平台供應商、網路基礎設施供應商以及結合端點和網路偵測的擴展偵測和回應（XDR）供應商。
隨著對更深入的可見性和更快的威脅回應的需求不斷成長，安全資訊和事件管理（SIEM）、安全編配、自動化和回應（SOAR）以及防火牆提供者等相鄰供應商正擴大將 NDR 功能整合到他們的產品中。
儘管業界往往因為功能重疊而將NDR與XDR混為一談，但Frost & Sullivan的這項研究重點關注NDR，並著重闡述其獨特的成長機會和創新趨勢。 Frost & Sullivan的相關研究也包括SIEM、端點檢測與反應（EDR）以及SOAR。
本研究還按以下細分市場提供了更詳細的收入明細和預測：

目標區域

世界
調查期
2021-2029
基準年
2024
預測期
2025-2029
貨幣單位
美元
地區：北美（NA）、拉丁美洲（LATAM）、歐洲、中東和非洲（EMEA）、亞太地區（APAC）。
公司規模：大型企業（5000名以上員工）、中型企業（1001-4999名員工）、中小企業（1-1000名員工）。
依行業分類：銀行和金融、教育、政府、醫療保健、製造業、零售業、科技、公共產業、媒體和娛樂、服務業（此類別無細分）。

三大戰略挑戰對NDR產業的影響

顛覆性技術

原因

人工智慧為企業帶來機會和挑戰。
它使得不具備技術專長的駭客能夠利用漏洞並造成重大損失。
同時，各組織可以利用人工智慧主動加強自身安全，填補人才缺口，並在網路安全方面獲得戰略優勢。

Frost的觀點

人工智慧的廣泛影響推動各行各業和各個地區對非災難識別解決方案的需求。

將 AI 整合到 NDR 生命週期中，可增強資產發現、漏洞偵測、回應、生產力和客戶報告。
Frost & Sullivan預測，未來五年內，人工智慧賦能的NDR解決方案產品將激增。

產業融合

原因

隨著現代威脅環境迫使各組織採用全面的安全平台並最大限度地降低 IT 複雜性，網路安全不斷整合。
這種轉變將推動對能夠提供全面威脅偵測和風險管理的先進整合工具的需求。

Frost的觀點

隨著各行各業的技術和系統不斷融合，NDR 點解決方案必須不斷發展，以應對日益複雜和不斷擴大的攻擊途徑。
未來五年內，隨著網路安全供應商將 NDR 功能商品化或自行開發，大多數 NDR 功能將商品化。
為了保持競爭力並防止客戶流失，隨著行業的融合，NDR 點解決方案供應商必須擴展其用例。

競爭加劇

原因

動態的威脅情勢、創業投資的湧入、產業的融合以及監管推動 NDR 的採用。
利用開放原始碼工具（Zeek、Suricata）降低開發成本，提供雲端原生 NDR 解決方案的Start-Ups准入門檻較低。
這種便利性吸引更多來自鄰近產業的供應商進入NDR領域。
現在幾乎所有網路安全供應商都提供一定程度的NDR 功能，從威脅偵測到回應。

Frost的觀點

NDR 在應對雲端遷移和物聯網應用帶來的不斷擴大的攻擊面方面發揮關鍵作用。
監管壓力和網路安全公司的要求不斷增加，這將推動各組織採用 NDR 的需求和競爭。
供應商需要拓展其應用場景，而且這種趨勢將會持續下去，迫使單點解決方案供應商實現業務多元化，否則就會成為大規模產業參與者的收購目標。

成長要素

攻擊面不斷擴大，IT 系統日益複雜：隨著企業採用雲端運算、遠端辦公和物聯網，攻擊面已超越傳統工具的監控範圍。僅靠資產追蹤已不再有效。網路偵測與回應（NDR）可在混合環境中提供即時網路可見度和行為分析，能夠偵測繞過端點和日誌工具的進階威脅。這使得 NDR 對於保護當今複雜、分散的IT 環境非常重要。
威脅情勢瞬息萬變：勒索軟體、國家級攻擊和人工智慧驅動的威脅正以前所未有的規模和複雜性加速發展。攻擊者利用橫向移動和加密通訊，超越了傳統終端安全工具的防禦能力。網路偵測與回應（NDR）提供行為分析和網路層視覺性，能夠即時偵測高階攻擊手段，因此對於防禦不斷擴展、易於存取且瞬息萬變的威脅情勢非常重要。
監管壓力和合規要求：各國政府和監管機構推行更嚴格的安全標準，迫使企業加強檢測能力。諸如《數位業務彈性法案》（DORA）和《一般資料保護規則》（GDPR）的修訂等舉措，要求企業在整個數位環境中擁有可驗證的安全控制措施和可視性。網路偵測與回應（NDR）透過提供持續監控、進階檢測和可操作的洞察，協助企業滿足不斷變化的合規要求，並規避監管風險。
技術進步：人工智慧在加速網路威脅規模化和複雜性提升的同時，也增強了網路偵測與回應（NDR）的能力。現代 NDR 平台整合了人工智慧，能夠關聯網路、終端和雲端環境中的資料，提供更豐富的上下文資訊並加快檢測速度。這使得 NDR 成為更有效的解決方案，更符合其最初的目標：即時、智慧和全面的網路防禦。
安全成熟度提升：隨著組織規模的擴大和安全意識的增強，它們在工具、人才和預防措施方面的投入也不斷增加。這種轉變推動了對網路偵測與回應（NDR）等高階解決方案的需求。面對日益嚴峻的網路安全威脅和監管要求，組織正將即時檢測與回應作為其資訊安全戰略的核心要素。

成長限制因素

市場困惑：許多組織仍然不清楚 NDR 與 IDS、EDR 甚至 XDR 之間的區別。決策者常常質疑，如果他們已經部署了防火牆和終端安全工具，是否還需要 NDR。這種困惑會延緩 NDR 的普及，並降低其投資的迫切性。
預算限制：儘管網路安全預算呈上升趨勢，但各組織不得不將資源分配到資料、雲端和網路安全等相互競爭的優先事項上。非災難復原（NDR）與這些領域直接爭奪資金，而雲端和資料安全通常被認為更為緊迫，限制了用於專門的NDR 解決方案的預算。
服務蠶食：隨著越來越多的組織將保全行動給託管偵測與回應（MDR）或資安管理服務供應商（MSSP），獨立網路偵測與回應（NDR）的直接市場萎縮。許多企業不再部署內部 NDR 平台，而是依賴將網路視覺性功能捆綁到綜合服務中的託管服務提供者。這種趨勢減少了 NDR 供應商的商機，尤其是在網路偵測成為後台功能而非獨立投資的情況下。
平台整合、商品化和同質化：像 XDR 和 SIEM 這樣的大型平台整合 NDR 功能。隨著這些平台的演進，許多組織更傾向於使用單一整合的解決方案，而不是多個獨立的獨立產品。這種整合趨勢對獨立的NDR 供應商提出了挑戰，除非他們提供獨特的功能或卓越的整合能力，否則很難證明自身的價值。

競爭環境

競爭對手數量
- 超過25家供應商，年收入均超過100萬美元
競爭因素
- 成本、支援系統、客戶關係、檢驗能力、掃描性能、掃描頻率、整合
主要終端用戶產業
- 銀行與金融、政府、科技、服務、製造業
主要競爭對手
- Cisco、Fortinet、Darktrace、Trend Micro、ExtraHop
前五大公司營收佔有率（2024年）
- 68.8%
其他值得關注的競爭對手
- Vectra AI、Corelight、Arista、Hillstone Networks
流通結構
- 直銷、經銷商通路、經銷商、MSSP
重大併購
- Darktrace 收購 Cado Security（2025年）；Cisco收購 Splunk（2024年）；Fortinet 收購 Gigamon 的ThreatInsight NDR 解決方案（2023年）

The need for NDR has grown far beyond basic perimeter defense and legacy intrusion detection. Today, NDR is a critical layer of cybersecurity, enabling organizations to detect, investigate, and respond to threats that evade traditional tools. As businesses accelerate cloud adoption, expand remote work, and embrace IoT and AI, network environments have become more dynamic and complex-creating blind spots that attackers exploit through encrypted traffic, lateral movement, and sophisticated techniques.

Relying solely on endpoint security and firewalls is no longer effective as threat actors bypass legacy defenses with ease. With breach costs continuing to rise, organizations need deep, real-time visibility into both east-west and north-south traffic to uncover hidden threats before financial and operational damage occurs. Modern NDR solutions provide this visibility through advanced behavioral analytics, AI-driven anomaly detection, and proactive threat hunting, helping reduce false positives and speed response times. NDR also works alongside endpoint detection and response (EDR), extended detection and response (XDR), and security information and event management (SIEM) to deliver an integrated, holistic defense.

The global NDR market is expanding rapidly, driven by demand for continuous monitoring, inspection of encrypted traffic, and rising investments in AI and ML. North America leads the market, followed by Europe, the Middle East, Africa (EMEA), and Asia-Pacific (APAC), while Latin America (LATAM) remains relatively untapped and offers strong growth opportunities.

In summary, NDR has become fundamental to a proactive and resilient cybersecurity posture. As threats grow more advanced and attack surfaces multiply, organizations across finance, government, healthcare, and technology will increasingly rely on NDR for the visibility, speed, and confidence required to defend critical assets and reduce risk.

Revenue Forecast

The revenue estimate for the base year is $2,615.2 million, with a CAGR of 23.1% for the study period from 2024 to 2029.

Scope of Analysis

NDR continuously monitors network traffic to detect, investigate, and respond to both known and unknown threats in real time across hybrid and cloud environments.
The NDR market includes several types of vendors, including pure-play NDR providers, large security platform vendors, network infrastructure providers, and extended detection and response (XDR) providers that combine endpoint and network detection.
As demand for deeper visibility and faster threat response grows, adjacent vendors such as security information and event management (SIEM), security orchestration, automation, and response (SOAR), and firewall providers increasingly integrate NDR features into their offerings.
Industry discussions often group NDR with XDR because of overlapping functions, but Frost & Sullivan focuses specifically on NDR in this study to highlight its unique growth opportunities and innovation trends. Related Frost & Sullivan studies cover SIEM, endpoint detection and response (EDR), and SOAR.
This study provides additional revenue breakdown and forecast by the following segments:

Geographic Coverage

Global
Study Period
2021-2029
Base Year
2024
Forecast Period
2025-2029
Monetary Unit
US Dollars
Geography: North America (NA); Latin America (LATAM); Europe, the Middle East, and Africa (EMEA); and Asia-Pacific (APAC).
Business Sizes: Large (>5,000 employees), midsized (1,001-4,999 employees), and small and medium-sized businesses (SMBs) (1-1,000 employees).
Industry Verticals: Banking/finance, education, government, healthcare/medical, manufacturing, retail, technology, utilities, media/entertainment, and services (no breakdown for this category).

The Impact of the Top 3 Strategic Imperatives on the NDR Industry

Disruptive Technologies

Why

AI creates both opportunities and challenges for businesses.
It empowers hackers without technical expertise to exploit vulnerabilities and cause significant damage.
At the same time, organizations can use AI to proactively strengthen security, bridge talent gaps, and gain a strategic advantage in cybersecurity.

Frost Perspective

AI's ubiquitous influence drives demand for NDR solutions across industries and regions.

Integrating AI into the NDR life cycle strengthens asset discovery, vulnerability detection, response, productivity, and customer reporting.
Frost & Sullivan expects AI-enabled NDR offerings to surge over the next 5 years.

Industry Convergence

Why

Cybersecurity continues to converge as the modern threat landscape pushes organizations to adopt holistic security platforms while minimizing IT complexity.
This shift will drive demand for advanced, integrated tools that deliver comprehensive threat detection and risk management.

Frost Perspective

As technologies and systems integrate across industries, NDR point solutions must evolve to manage increasingly complex and expansive attack vectors.
Within the next 5 years, most NDR capabilities will commoditize as cybersecurity vendors commoditize or build them.
To stay competitive and reduce customer churn, NDR point solution providers must expand their use cases in line with industry convergence.

Competitive Intensity

Why

The dynamic threat landscape, venture capital injections, industry convergence, and regulations drive NDR adoption.
Start-ups offering cloud-native NDR solutions face a low barrier to entry by leveraging open-source tools (Zeek, Suricata) to cut development costs.
This accessibility attracts more vendors from adjacent sectors into the NDR arena.
Nearly all cybersecurity vendors now deliver some level of NDR capability, ranging from threat detection to response.

Frost Perspective

NDR plays a crucial role in addressing the expanding attack surface created by cloud migration and IoT adoption.
Growing regulatory pressure and requirements from cybersecurity firms will push organizations to adopt NDR, boosting both demand and competition.
Vendors will need to expand their use cases, and this trend will continue, leading point solution providers to diversify or be acquired by larger industry players.

Growth Drivers

Increased Attack Surface and IT Complexity: As organizations adopt cloud, remote work, and IoT, their attack surface grows beyond what traditional tools can monitor. Tracking assets alone is no longer effective. NDR delivers real-time, network-wide visibility and behavioral analytics across hybrid environments, enabling detection of advanced threats that bypass endpoint or log-based tools. This makes NDR critical for securing today's complex and distributed IT landscapes.
The Dynamic Threat Landscape: Ransomware, nation-state attacks, and AI-driven threats are accelerating in scale and sophistication. Attackers exploit lateral movement and encrypted traffic, leaving traditional endpoint tools unable to keep up. NDR provides the behavioral analysis and network-layer visibility needed to detect advanced tactics in real time, making it essential for defending against a growing, accessible, and constantly shifting threat landscape.
Regulatory Pressure and Compliance Requirements: Governments and regulatory bodies are enforcing stricter security standards that push organizations to strengthen their detection capabilities. Frameworks like Digital Operational Resilience Act (DORA) and updates to General Data Protection Regulation (GDPR) require demonstrable security controls and visibility across the digital environment. NDR supports compliance by delivering continuous monitoring, advanced detection, and actionable insights across networks, helping organizations meet these evolving requirements and avoid regulatory risk.
Technological Advancements: While AI accelerates the scale and sophistication of cyber threats, it also strengthens the power of NDR. Modern NDR platforms integrate AI to correlate data across networks, endpoints, and cloud environments, delivering richer context and faster detection. This makes NDR more effective and aligned with its original purpose-providing intelligent and holistic network defense in real time.
Rising Security Maturity: As organizations grow and gain more security awareness, they are increasingly invested in tools, talent, and proactive practices. This shift boosts demand for advanced solutions like NDR. With rising cybersecurity disturbances and regulatory demands, organizations are prioritizing real-time detection and response as core elements of their information security strategy.

Growth Restraints

Market Confusion: Many organizations still lack a clear understanding of NDR and how it differs from IDS, EDR, or even XDR. Decision makers often question the need for NDR if they already have firewalls or endpoint tools. This confusion slows adoption and reduces the perceived urgency of investing in NDR.
Budget Constraints: Even with growing cybersecurity budgets, organizations must split resources across competing priorities such as data, cloud, and network security. NDR directly competes with these domains for funding, and in many cases, cloud and data security are seen as more urgent, limiting budget for dedicated NDR solutions.
Service Cannibalization: As more organizations outsource security operations to managed detection and response (MDR) or managed security service providers (MSSPs), the direct market for standalone NDR shrinks. Instead of deploying an in-house NDR platform, many companies rely on managed providers that bundle network visibility into broader services. This trend reduces revenue opportunities for NDR vendors, especially when network detection becomes a background feature rather than a distinct investment.
Platform Absorption, Commoditization, and Homogenization: Larger platforms like XDR and SIEM are absorbing NDR features. As these platforms evolve, many organizations prefer a single consolidated solution over multiple point products. This consolidation challenges standalone NDR vendors to justify their value unless they deliver unique capabilities or superior integration.

Competitive Environment

Number of Competitors
- More than 25 with revenue greater than $1 million
Competitive Factors
- Cost, support, customer relationships, validation capabilities, scanning performance, scanning frequency, and integrations
Key End-User Industry Verticals
- Banking/finance, government, technology, services, manufacturing
Leading Competitors
- Cisco, Fortinet, Darktrace, Trend Micro, ExtraHop
Revenue Share of Top 5 Competitors (2024)
- 68.8%
Other Notable Competitors
- Vectra AI, Corelight, Arista, Hillstone Networks
Distribution Structure
- Direct sales, reseller channel, distributor, MSSPs
Notable Acquisitions and Mergers
- Darktrace acquiring Cado Security (2025); Cisco acquiring Splunk (2024); Fortinet acquiring Gigamon's ThreatInsight NDR solution (2023)