관리형 탐지 및 대응(MDR) 시장 : 시장 예측(2026-2032년)

The Managed Detection & Response Market is projected to grow by USD 20.94 billion at a CAGR of 22.24% by 2032.

Executive Introduction to Managed Detection & Response

Managed Detection & Response (MDR) has become a critical cybersecurity service model for organizations seeking continuous threat monitoring, rapid incident response, and access to specialized security expertise without relying solely on in-house security operations centers. The MDR landscape is expanding in relevance as enterprises face ransomware, credential theft, cloud misconfiguration, supply chain compromise, phishing, insider threats, and advanced persistent threats targeting hybrid IT environments. Unlike traditional managed security services that focus mainly on alerting, MDR combines telemetry collection, threat hunting, behavioral analytics, endpoint detection and response, cloud security monitoring, identity threat detection, and guided remediation to reduce dwell time and improve operational resilience. Demand is being shaped by the shortage of skilled cybersecurity professionals, the growth of remote and hybrid work, stricter cyber risk governance requirements, and the need for 24/7 detection across endpoints, networks, cloud workloads, email, identities, and operational technology environments. For executive decision-makers, MDR is no longer viewed only as an outsourced security function; it is increasingly positioned as a strategic capability that supports business continuity, regulatory readiness, cyber insurance requirements, and board-level risk management.

Transformative Shifts in the MDR Landscape

The Managed Detection & Response landscape is undergoing transformative shifts as cyber defense moves from perimeter-centric monitoring toward intelligence-led, outcome-driven security operations. Organizations are prioritizing services that deliver measurable improvements in mean time to detect, mean time to respond, incident containment, and attack surface visibility. The transition from on-premises infrastructure to cloud, SaaS, containerized applications, and identity-based access has expanded the attack surface and made continuous monitoring more complex. MDR providers and buyers are therefore placing greater emphasis on extended detection and response, security orchestration, endpoint telemetry, cloud-native detection, identity analytics, and proactive threat hunting. Regulatory and governance pressures are also reshaping adoption, with frameworks and rules such as data protection laws, critical infrastructure cybersecurity directives, breach notification requirements, and sector-specific compliance standards increasing the need for documented detection and response capabilities. At the same time, cyberattacks are becoming more automated and financially motivated, particularly ransomware and business email compromise, pushing organizations toward always-on monitoring and faster response playbooks. The most significant strategic shift is the move from alert volume management to risk-based response, where MDR services prioritize verified threats, business-critical assets, attacker behavior, and remediation guidance rather than simply forwarding security alerts.

Cumulative Impact of Artificial Intelligence on MDR

Artificial intelligence is having a cumulative impact on Managed Detection & Response by strengthening anomaly detection, accelerating triage, enriching threat intelligence, and improving the speed of incident response workflows. AI-enabled analytics can correlate high volumes of security telemetry from endpoints, networks, identity systems, cloud platforms, and applications to identify suspicious patterns that may be missed by rule-based tools. Machine learning models support behavioral baselining, user and entity behavior analytics, malware classification, phishing detection, and automated prioritization of alerts based on risk. Generative AI is also influencing analyst productivity by summarizing incidents, drafting investigation timelines, translating technical indicators into executive-level narratives, and supporting response recommendations. However, the same technologies are being exploited by adversaries to generate convincing phishing lures, automate vulnerability discovery, create polymorphic malware, and scale social engineering campaigns. This dual-use reality is making human validation, model governance, explainability, secure data handling, and continuous tuning essential. The strongest MDR strategies use AI as an analyst multiplier rather than a replacement, combining automation with expert-led threat hunting, contextual investigation, and validated remediation. As security teams evaluate AI-driven MDR capabilities, the most important criteria include telemetry quality, false-positive reduction, transparency of decision logic, integration with existing security tools, and the ability to respond safely across complex enterprise environments.

Key Regional Insights for Managed Detection & Response

In Asia-Pacific, Managed Detection & Response adoption is being shaped by rapid digitalization, expanding cloud usage, rising ransomware activity, and stronger national cybersecurity strategies across Japan, Australia, India, South Korea, Singapore, and China. The region's large base of digitally enabled enterprises, financial institutions, manufacturers, telecom operators, and public-sector agencies is driving demand for round-the-clock monitoring and localized incident response expertise. Europe's MDR landscape is strongly influenced by General Data Protection Regulation obligations, the NIS2 Directive, Digital Operational Resilience Act requirements for financial entities, critical infrastructure security rules, and supply chain risk management, with enterprises increasingly seeking services that support regulatory documentation, incident reporting discipline, and data residency considerations. North America remains one of the most mature environments for MDR due to high cybersecurity awareness, extensive cloud adoption, stringent breach disclosure obligations, and the concentration of organizations with complex hybrid infrastructures. In the United States and Canada, MDR is closely aligned with cyber insurance readiness, zero trust implementation, endpoint security modernization, and executive risk oversight. Latin America is seeing increased MDR relevance as organizations in Brazil, Mexico, and other economies strengthen cyber resilience against ransomware, payment fraud, and credential-based attacks while addressing skills shortages and compliance requirements. Africa is emerging as an important MDR environment as banks, mobile money platforms, public agencies, and telecom networks face increasing cyber risks while many organizations look for managed security expertise to compensate for limited internal security operations capacity. The Middle East is accelerating MDR adoption through national digital transformation initiatives, smart infrastructure development, and heightened protection requirements across energy, government, aviation, financial services, and telecom sectors, supported by cybersecurity strategies and critical information infrastructure protection programs.

Key Group Insights Across NATO, G7, BRICS, EU, ASEAN, and GCC

Across NATO-aligned countries, Managed Detection & Response is reinforced by the emphasis on collective cyber defense, resilience of defense-adjacent industries, and protection of critical services, creating demand for MDR capabilities that integrate threat intelligence, rapid containment, continuous monitoring, and incident coordination across sensitive and mission-critical environments. The G7 group demonstrates advanced MDR maturity, driven by sophisticated threat exposure, high-value intellectual property, complex supply chains, ransomware disruption, and mature regulatory oversight, with organizations adopting MDR to enhance resilience against state-linked threats, supply chain compromise, and attacks on essential services. BRICS economies present diverse MDR priorities, ranging from large-scale digital infrastructure protection and industrial cybersecurity to financial fraud detection, public-sector modernization, data localization, and national cyber sovereignty considerations. Within the European Union, MDR strategies are heavily shaped by regulatory alignment, including data privacy requirements, the NIS2 cybersecurity framework, critical entity resilience, and cyber incident reporting obligations, making auditability, data governance, and transparent response processes essential buying criteria. Across ASEAN, MDR is gaining strategic importance as member economies expand digital banking, e-commerce, cloud services, and cross-border data flows while strengthening cybersecurity cooperation and national cyber defense programs. Organizations in the region are prioritizing MDR capabilities that can handle multilingual environments, regional threat intelligence, compliance requirements, and fast incident escalation. In the GCC, MDR demand is closely tied to critical infrastructure protection, sovereign digital transformation, energy-sector resilience, and government-led cybersecurity mandates, with strong emphasis on localized monitoring, data protection, and high-assurance response.

Key Country Insights for Managed Detection & Response

In China, Managed Detection & Response is shaped by large-scale digital infrastructure, cloud and industrial digitization, data security laws, critical information infrastructure protection, and national cyber governance priorities. In the United States, MDR is strongly driven by ransomware defense, breach notification exposure, cyber insurance scrutiny, federal cybersecurity guidance, and the need to protect hybrid cloud, healthcare, financial services, government, and critical infrastructure environments. Japan is prioritizing MDR for supply chain security, manufacturing resilience, critical infrastructure protection, and preparedness against sophisticated cyber threats, while India is seeing rapid MDR relevance due to its expanding digital economy, high volume of online transactions, cloud migration, IT services ecosystem, and growing focus on cybersecurity compliance. Germany's demand is closely connected to industrial cybersecurity, manufacturing protection, strict data protection expectations, and resilience across export-oriented supply chains, while the United Kingdom's MDR adoption is shaped by mature cybersecurity governance, financial services security requirements, critical infrastructure protection, and high executive awareness of operational resilience. Australia's MDR adoption is supported by strong national cyber policy, breach reporting requirements, and heightened concern around critical infrastructure and public-sector cyber incidents. France is emphasizing MDR in connection with national cyber resilience, public-sector modernization, cloud security, and protection of strategic industries, while South Korea is advancing MDR use across technology, manufacturing, telecom, financial services, and public-sector environments supported by high digital connectivity and persistent exposure to advanced cyber threats. Italy and Spain are strengthening MDR adoption as enterprises modernize security operations, protect SMEs and large enterprises from ransomware, and align with European cybersecurity requirements. Canada shows increasing MDR adoption as organizations address privacy obligations, remote work security, and threat monitoring needs across public and private sectors. Russia's cybersecurity environment is influenced by geopolitical risk, domestic technology priorities, and heightened focus on protecting public-sector, energy, and financial systems. Brazil is a leading Latin American cybersecurity environment where MDR is supported by digital banking growth, data protection regulation, and persistent phishing, ransomware, and credential theft threats, while Mexico's MDR landscape is influenced by financial fraud, manufacturing-sector cyber risk, nearshoring-related supply chain exposure, and the need for scalable managed security expertise.

Actionable Recommendations for Industry Leaders

Industry leaders should approach Managed Detection & Response as a strategic cyber resilience capability rather than a tactical outsourcing decision. Organizations should first define measurable outcomes, including reduced detection time, faster containment, improved incident documentation, and enhanced visibility across endpoints, identities, networks, cloud workloads, email, and SaaS platforms. Security leaders should ensure that MDR services integrate with existing security tools, identity systems, vulnerability management platforms, ticketing workflows, and incident response processes to avoid operational silos. A strong MDR program should include proactive threat hunting, continuous tuning, clear escalation paths, containment authority, forensic support, and executive-level reporting. Buyers should also evaluate data residency, privacy safeguards, compliance support, service-level commitments, analyst expertise, threat intelligence quality, and coverage for cloud-native and identity-based attacks. As AI-enabled MDR capabilities mature, leaders should require transparency on how automation is used, how alerts are validated, how false positives are reduced, and how sensitive data is protected. Organizations in regulated or critical sectors should align MDR playbooks with business continuity plans, legal notification procedures, cyber insurance conditions, and board reporting requirements. The most effective approach is to combine MDR with zero trust principles, asset inventory, vulnerability prioritization, security awareness, backup resilience, and regular incident simulations so that detection and response operate as part of a broader enterprise risk management framework.

Research Methodology for MDR Analysis

The research methodology for evaluating Managed Detection & Response is grounded in verified secondary research, structured market intelligence analysis, and cross-comparison of credible cybersecurity sources. Inputs include government cybersecurity advisories, national cyber strategy documents, regulatory publications, incident response guidance, threat intelligence reports, standards frameworks, data protection rules, and sector-specific cyber resilience requirements. The analysis emphasizes qualitative indicators such as adoption drivers, threat trends, regulatory influence, technology evolution, regional maturity, buyer priorities, and operational challenges. Information is validated through triangulation across public-sector sources, industry-recognized cybersecurity frameworks, regulatory documentation, and documented threat activity patterns. The methodology excludes speculative estimates, market sizing, market share calculations, and forecasting. Instead, it focuses on evidence-based interpretation of how MDR is being used to address real-world cybersecurity risks, including ransomware, phishing, identity compromise, cloud threats, data exfiltration, supply chain intrusion, and critical infrastructure exposure. Regional, group, and country insights are assessed through the lens of cybersecurity policy maturity, digital transformation intensity, compliance pressure, sectoral risk exposure, and availability of skilled security operations talent.

Conclusion on the Future of Managed Detection & Response

Managed Detection & Response is becoming a core pillar of modern cybersecurity strategy as organizations confront sophisticated attacks, expanding digital infrastructure, and persistent shortages of skilled security professionals. The value of MDR lies in its ability to combine continuous monitoring, advanced analytics, expert investigation, proactive threat hunting, and rapid response into a coordinated service model that improves cyber resilience. Artificial intelligence is increasing the speed and scale of detection, but effective MDR still depends on human expertise, contextual analysis, governance, and disciplined response execution. Regional, group, and country dynamics show that MDR priorities vary by regulatory environment, threat exposure, critical infrastructure needs, and digital transformation maturity, yet the underlying requirement is consistent: organizations need reliable, always-on detection and response capabilities. Industry leaders that align MDR with compliance, cloud security, identity protection, incident response planning, and executive risk management will be better positioned to reduce cyber impact, protect business continuity, and strengthen stakeholder confidence in an increasingly hostile threat environment.

Table of Contents

1. Preface

• 1.1. Objectives of the Study
• 1.2. Market Definition
• 1.3. Market Segmentation & Coverage
• 1.4. Years Considered for the Study
• 1.5. Currency Considered for the Study
• 1.6. Language Considered for the Study
• 1.7. Key Stakeholders

2. Research Methodology

• 2.1. Introduction
• 2.2. Research Design
  • 2.2.1. Primary Research
  • 2.2.2. Secondary Research
• 2.3. Research Framework
  • 2.3.1. Qualitative Analysis
  • 2.3.2. Quantitative Analysis
• 2.4. Market Size Estimation
  • 2.4.1. Top-Down Approach
  • 2.4.2. Bottom-Up Approach
• 2.5. Data Triangulation
• 2.6. Research Outcomes
• 2.7. Research Assumptions
• 2.8. Research Limitations

3. Executive Summary

• 3.1. Introduction
• 3.2. CXO Perspective
• 3.3. Market Size & Growth Trends
• 3.4. New Revenue Opportunities
• 3.5. Next-Generation Business Models
• 3.6. Industry Roadmap

4. Market Overview

• 4.1. Introduction
• 4.2. Industry Ecosystem & Value Chain Analysis
  • 4.2.1. Supply-Side Analysis
  • 4.2.2. Demand-Side Analysis
  • 4.2.3. Stakeholder Analysis
• 4.3. Market Dynamics
  • 4.3.1. Key Drivers
  • 4.3.2. Key Restraints
  • 4.3.3. Key Opportunities
  • 4.3.4. Key Challenges
• 4.4. Porter's Five Forces Analysis
• 4.5. PESTLE Analysis
• 4.6. Market Outlook
  • 4.6.1. Near-Term Market Outlook (0-2 Years)
  • 4.6.2. Medium-Term Market Outlook (3-5 Years)
  • 4.6.3. Long-Term Market Outlook (5-10 Years)
• 4.7. Go-to-Market Strategy

5. Market Insights

• 5.1. Consumer Insights & End-User Perspective
• 5.2. Consumer Experience Benchmarking
• 5.3. Opportunity Mapping
• 5.4. Distribution Channel Analysis
• 5.5. Pricing Trend Analysis
• 5.6. Regulatory Compliance & Standards Framework
• 5.7. ESG & Sustainability Analysis
• 5.8. Disruption & Risk Scenarios
• 5.9. Return on Investment & Cost-Benefit Analysis

6. Cumulative Impact of Artificial Intelligence 2026

7. Managed Detection & Response Market, by Component

• 7.1. Introduction
• 7.2. Services
  • 7.2.1. Managed Services
    • 7.2.1.1. Incident Response
    • 7.2.1.2. Managed Forensics
    • 7.2.1.3. Threat Intelligence & Analysis
  • 7.2.2. Professional Services
    • 7.2.2.1. Consulting
    • 7.2.2.2. Integration & Implementation
    • 7.2.2.3. Support & Maintenance
• 7.3. Solutions
  • 7.3.1. Platforms
  • 7.3.2. Tools

8. Managed Detection & Response Market, by Organization Size

• 8.1. Introduction
• 8.2. Large Enterprises
• 8.3. Small And Medium Enterprises

9. Managed Detection & Response Market, by Response Capability

• 9.1. Introduction
• 9.2. Alert Triage
• 9.3. Automated Response
• 9.4. Manual Response

10. Managed Detection & Response Market, by Deployment Model

• 10.1. Introduction
• 10.2. Cloud
  • 10.2.1. Private Cloud
  • 10.2.2. Public Cloud
• 10.3. Hybrid
• 10.4. On Premises

11. Managed Detection & Response Market, by End User Industry

• 11.1. Introduction
• 11.2. Banking And Financial Services
• 11.3. Energy & Utilities
• 11.4. Government & Defense
• 11.5. Healthcare
• 11.6. It & Telecom
• 11.7. Manufacturing
• 11.8. Retail & E-commerce

12. Managed Detection & Response Market, by Region

• 12.1. Asia-Pacific
• 12.2. Europe
• 12.3. North America
• 12.4. Latin America
• 12.5. Africa
• 12.6. Middle East

13. Managed Detection & Response Market, by Group

• 13.1. NATO
• 13.2. G7
• 13.3. BRICS
• 13.4. European Union
• 13.5. ASEAN
• 13.6. GCC

14. Managed Detection & Response Market, by Country

• 14.1. China
• 14.2. United States
• 14.3. Japan
• 14.4. India
• 14.5. Germany
• 14.6. United Kingdom
• 14.7. Australia
• 14.8. France
• 14.9. South Korea
• 14.10. Italy
• 14.11. Canada
• 14.12. Russia
• 14.13. Brazil
• 14.14. Mexico
• 14.15. Spain

15. Competitive Landscape

• 15.1. Market Share Analysis, 2025
• 15.2. FPNV Positioning Matrix, 2025
• 15.3. Market Concentration Analysis, 2025
  • 15.3.1. Concentration Ratio (CR)
  • 15.3.2. Herfindahl Hirschman Index (HHI)
• 15.4. Recent Developments & Impact Analysis, 2025
• 15.5. Product Portfolio Analysis, 2025
• 15.6. Benchmarking Analysis, 2025

16. Company Profiles

• 16.1. Accenture PLC
• 16.2. Alert Logic by Fortra, LLC
• 16.3. Amazon.com, Inc.
• 16.4. AT&T Inc.
• 16.5. Atos SE
• 16.6. Broadcom Inc.
• 16.7. Cisco Systems, Inc.
• 16.8. Cognizant Technology Solutions Corporation
• 16.9. Dell Inc.
• 16.10. Fidelis Cybersecurity, Inc.
• 16.11. Fujitsu Limited
• 16.12. Google LLC by Alphabet Inc
• 16.13. HCL Technologies
• 16.14. Herjavec Group Inc.
• 16.15. Hitachi Ltd
• 16.16. International Business Machines Corporation
• 16.17. Lumen Technologies, Inc.
• 16.18. Netrix, LLC
• 16.19. Oracle Corp.
• 16.20. Palo Alto Networks, Inc.
• 16.21. Secureworks Inc.
• 16.22. Sophos Lts
• 16.23. Tata Consultancy Services
• 16.24. Trend Micro Incorporated.
• 16.25. Trustwave Holdings, Inc.
• 16.26. Vectra AI, Inc.
• 16.27. Verizon Communications Inc.
• 16.28. Wipro Limited