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市場調查報告書
商品編碼
1938428
端點檢測與反應市場 - 全球產業規模、佔有率、趨勢、機會及預測(按威脅類型、組件、最終用戶產業、地區和競爭格局分類,2021-2031 年)Endpoint detection response, Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Threat Type, By Component, By End-User Industry, By Region & Competition, 2021-2031F |
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全球端點檢測與反應 (EDR) 市場預計將從 2025 年的 33.3 億美元大幅成長至 2031 年的 135.1 億美元,複合年成長率為 26.29%。
EDR解決方案作為集中式安全系統,持續監控使用者設備,以偵測並消除可疑行為和未授權存取。這一市場成長的主要驅動力是日益複雜的網路攻擊以及混合辦公模式的廣泛普及,這些因素擴大了組織的攻擊面。此外,嚴格的資料隱私監管要求也要求對網路活動進行持續監控,以確保快速回應突發事件。
| 市場概覽 | |
|---|---|
| 預測期 | 2027-2031 |
| 市場規模:2025年 | 33.3億美元 |
| 市場規模:2031年 | 135.1億美元 |
| 複合年成長率:2026-2031年 | 26.29% |
| 成長最快的細分市場 | 金融 |
| 最大的市場 | 亞太地區 |
根據SANS研究所2024年的報告,42%的受訪機構認為增強型和端點偵測工具是威脅偵測中最有效的技術。然而,儘管如此,市場擴張的主要障礙仍然是熟練的網路安全專業人員嚴重短缺,而這些專業人員需要能夠解讀複雜的遙測資料並處理這些系統產生的大量警報。
勒索軟體和進階持續性威脅 (APT) 的日益複雜化正在加速端點偵測與回應 (EDR) 系統的普及。與依賴匹配已知特徵碼的傳統防毒軟體不同,EDR 平台採用持續行為監控來偵測繞過標準邊界防禦的惡意行為。隨著攻擊者擴大使用複雜的無文件技術和憑證竊取來滲透企業網路並加密敏感數據,這種能力至關重要。根據 Sophos 於 2024 年 4 月發布的《2024 年勒索軟體現狀報告》,59% 的組織在過去一年中遭受過勒索軟體攻擊,這凸顯了提供持續監控和快速遏制的解決方案對於確保業務連續性的緊迫性。
此外,人工智慧 (AI) 和機器學習在自動化回應中的應用將透過減少警報疲勞和反應延遲來加速市場成長。現代 EDR 代理程式利用這些技術自主分析海量端點遙測資料集,並在即時人工干預的情況下過濾掉實際的安全事件和良性異常,從而縮短攻擊者未被發現的時間。根據 IBM 發布的《2024 年資料外洩成本報告》(2024 年 7 月),部署了先進安全 AI 和自動化技術的組織比未部署此類技術的組織更快地遏制了資料外洩事件,平均提前 98 天。此外,Check Point Software 的 2024 年報告指出,組織平均每週面臨 1308 次網路攻擊,凸顯了自動化 EDR 解決方案必須應對的威脅規模之大,才能有效保護企業環境。
高技能網路安全專業人員的嚴重短缺是終端偵測與回應 (EDR) 市場成長的一大障礙。這些系統會產生大量複雜的遙測資料和警報,需要人工分析才能區分良性異常和真正的威脅。當企業缺乏足夠的人才來解讀這些數據時,就會出現營運瓶頸和警報疲勞,從而降低軟體的實際價值。因此,由於缺乏有效管理所需工作流程的內部能力,潛在買家往往會推遲或限制對檢測平台的投資。
人才短缺直接影響市場收入,限制了保全行動的擴充性。當招募熟練分析師的成本和難度超過技術效益時,企業往往不願意採用全面的監控工具。根據ISC2預測,2024年,全球網路安全人才缺口將達到480萬人。持續的人才短缺迫使許多公司縮減安全基礎設施,從而減緩了依賴專業管理的終端解決方案的整體普及速度。
從獨立的端點檢測與反應 (EDR) 向擴展檢測與反應 (XDR) 生態系統的轉變,代表著市場結構的根本性變革。企業正擴大用 XDR 平台取代孤立的端點監控,這些平台能夠關聯跨網路、雲端工作負載和身份系統的遙測數據,從而提供傳統代理無法檢測到的複雜攻擊鏈的可見性。這種轉變的驅動力在於攻擊者轉向雲端基礎架構和濫用憑證,使得僅關注端點可見度不足以進行全面防禦。 CrowdStrike 發布的《2024 年全球威脅報告》(2024 年 2 月)指出,雲端環境入侵事件年增 75%,凸顯了將偵測能力擴展到實體設備之外,涵蓋企業所有數位資產的迫切需求。
同時,生成式人工智慧的整合正在普及高級保全行動,並徹底改變威脅調查方式。與專注於後端異常偵測的傳統機器學習不同,生成式人工智慧允許分析人員使用自然語言查詢資料集,自動產生事件摘要,並獲得指導性的補救步驟。這一趨勢降低了技術門檻,使即使是初級員工也能執行以前需要專業查詢語言知識才能完成的複雜威脅搜尋任務。根據 Splunk 發布的《2024 年安全狀況報告》(2024 年 4 月),91% 的安全領導者正在將生成式人工智慧專門用於保全行動,這凸顯了語言模型驅動功能在提升分析人員效率方面正被整個產業迅速採用。
The Global Endpoint Detection and Response (EDR) market is projected to expand significantly, rising from USD 3.33 Billion in 2025 to USD 13.51 Billion by 2031, representing a CAGR of 26.29%. EDR solutions operate as centralized security systems tasked with continuous monitoring of user devices to detect and neutralize suspicious behavior or unauthorized access. This market growth is primarily fueled by the increasing volume of sophisticated cyberattacks and the widespread shift to hybrid work models, which have enlarged the organizational attack surface. Furthermore, strict regulatory mandates concerning data privacy require constant visibility into network activities to guarantee swift incident response.
| Market Overview | |
|---|---|
| Forecast Period | 2027-2031 |
| Market Size 2025 | USD 3.33 Billion |
| Market Size 2031 | USD 13.51 Billion |
| CAGR 2026-2031 | 26.29% |
| Fastest Growing Segment | Finance |
| Largest Market | Asia Pacific |
In 2024, the SANS Institute reported that 42 percent of surveyed organizations considered extended and endpoint detection tools to be their most effective technology for threat detection. Despite this recognition, a major obstacle hindering broader market expansion is the severe shortage of skilled cybersecurity professionals needed to interpret complex telemetry and handle the massive volume of alerts these systems produce.
Market Driver
The increasing sophistication of ransomware and advanced persistent threats acts as a major driver for the adoption of endpoint detection and response systems. Unlike traditional antivirus software that depends on matching known signatures, EDR platforms employ continuous behavioral monitoring to spot malicious actions that often evade standard perimeter defenses. This capability is vital as attackers increasingly use intricate fileless methods and credential theft to breach corporate networks and encrypt sensitive data. According to Sophos' 'The State of Ransomware 2024' report from April 2024, 59 percent of organizations experienced a ransomware attack in the previous year, highlighting the urgent need for solutions that offer constant surveillance and rapid containment to ensure operational continuity.
Furthermore, the integration of artificial intelligence and machine learning for automated response accelerates market growth by mitigating alert fatigue and reducing reaction latency. Modern EDR agents leverage these technologies to autonomously analyze vast endpoint telemetry datasets, filtering benign anomalies from actual security incidents without immediate human input, thereby shortening the time attackers remain undetected. IBM's 'Cost of a Data Breach Report 2024' (July 2024) noted that organizations utilizing extensive security AI and automation contained breaches 98 days faster than those without such capabilities. Additionally, Check Point Software reported in 2024 that organizations faced an average of 1,308 weekly cyberattacks, emphasizing the immense threat volume that automated EDR solutions must manage to protect enterprise environments.
Market Challenge
A critical deficiency in skilled cybersecurity professionals poses a significant hurdle to the growth of the Endpoint Detection and Response market. These systems produce large volumes of complex telemetry and alerts that necessitate human analysis to distinguish between harmless anomalies and genuine threats. When organizations lack adequate personnel to interpret this data, they suffer from operational bottlenecks and alert fatigue, which diminishes the software's practical value. As a result, potential buyers frequently postpone or limit their investment in detection platforms because they lack the internal capability to manage the required workflows effectively.
This workforce shortage directly affects market revenue by restricting the scalability of security operations. Companies are less inclined to adopt comprehensive monitoring tools if the expense and difficulty of recruiting qualified analysts outweigh the technical benefits. According to ISC2, the global cybersecurity workforce gap reached 4.8 million professionals in 2024. This persistent lack of available talent compels many enterprises to maintain leaner security infrastructures, thereby slowing the overall adoption rate of endpoint solutions that depend on expert management.
Market Trends
The shift from standalone Endpoint Detection and Response to Extended Detection and Response (XDR) ecosystems marks a fundamental structural evolution in the market. Organizations are increasingly replacing isolated endpoint monitoring with XDR platforms that correlate telemetry across networks, cloud workloads, and identity systems to reveal complex kill chains that evade traditional agents. This transition is driven by adversaries refocusing on cloud infrastructure and credential abuse, making endpoint-only visibility inadequate for comprehensive defense. CrowdStrike's '2024 Global Threat Report' (February 2024) noted a 75 percent year-over-year increase in cloud environment intrusions, underscoring the urgent need for solutions that extend detection capabilities beyond the physical device to cover the entire enterprise digital estate.
Simultaneously, the integration of Generative AI is revolutionizing threat investigation by democratizing access to advanced security operations. Unlike traditional machine learning focused on backend anomaly detection, Generative AI enables analysts to query datasets using natural language, automatically produce incident summaries, and receive guided remediation steps. This trend lowers technical barriers, allowing junior staff to perform complex threat-hunting tasks that previously required specialized knowledge of proprietary query languages. According to Splunk's 'State of Security 2024' report (April 2024), 91 percent of security leaders use generative AI specifically for cybersecurity operations, highlighting the rapid industry-wide adoption of these language-model-driven capabilities to enhance analyst productivity.
Report Scope
In this report, the Global Endpoint detection response (EDR) Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:
Company Profiles: Detailed analysis of the major companies present in the Global Endpoint detection response (EDR) Market.
Global Endpoint detection response (EDR) Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report: