AI 증강 보안 애널리스트 플랫폼 시장 : 시장 점유율 분석, 업계 동향 및 통계, 성장 예측(2026-2031년)

According to Mordor Intelligence, the AI-augmented security analyst platforms market size is expected to grow from USD 11.2 billion in 2025 to USD 13.4 billion in 2026 and is forecast to reach USD 37.1 billion by 2031 at 22.6% CAGR over 2026-2031.

This report is Segmented by Component (Software, and Services), Application (Threat Detection and Alert Management, and More), Deployment (Cloud, On-Premises, and Hybrid), Enterprise Size (Large Enterprises, and Small and Medium Enterprises), End-User Industry (Government and Public Administration, and More), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

Global AI-Augmented Security Analyst Platforms Market Trends and Insights

Escalating Alert Volumes Across Hybrid Security Stacks

The AI-augmented security analyst platforms market is benefiting from a direct mismatch between the growth in alerts and analysts' capacity in hybrid environments. Security teams now work across cloud, on-premises, and operational technology estates, where telemetry is spread across too many systems for manual review to remain effective. This problem is more serious when attacks leave weak signals at each layer, because those signals often become useful only after correlation across endpoint, network, identity, and workload data. Vendors are responding by bringing SIEM and XDR functions together within unified operating layers, reducing the delays caused by siloed products and separate investigation paths. Organizations that use AI and security automation identify and contain breaches 98 days faster than those using manual methods, while average breach savings reach USD 2.2 million per incident, providing the AI-augmented security analyst platforms market with a clear cost-based demand trigger.

Persistent Shortage of Experienced Security Analysts

The AI-augmented security analyst platforms market is also being lifted by a shortage that is no longer limited to headcount alone. The problem now centers on skill depth: many organizations can hire staff but still cannot find enough experienced people to investigate incidents at the required level. In 2026, research showed that 27% of organizations had experienced breaches tied directly to workforce capability gaps, and that regulatory compliance was a strong hiring driver. The shortage is especially visible in senior roles, where long experience requirements slow hiring and raise the cost of building a mature internal security operations team. That is why the AI-augmented security analyst platforms market is attracting buyers who want junior analysts to work with greater depth, consistency, and less dependence on scarce senior staff.

Model Explainability Gaps in High-Risk Security Decisions

The AI-augmented security analyst platforms market faces a real limit when AI recommendations affect business-critical systems or user access. Regulated organizations need decisions that can be explained, reviewed, and defended in accordance with rules that require clear accountability for security actions. That makes it harder to adopt fully autonomous responses in areas where a wrong isolation action or access block could disrupt production, compliance, or customer service. The EU AI Act raises this bar further by requiring high-risk systems processing personal data to preserve logs and ensure traceability under Article 12, thereby increasing documentation expectations for vendors and buyers. Vendors are trying to narrow the gap with agentic workflows that show investigation steps and evidence chains, but the AI-augmented security analyst platforms market will still see slower adoption of full autonomy until explainability standards become more settled.

Other drivers and restraints analyzed in the detailed report include:

1. Rising Enterprise Demand for AI-Assisted Triage and Investigation
2. Consolidation of SIEM, SOAR, XDR, and UEBA Workflows
3. Integration Complexity With Legacy Security Tooling

For complete list of drivers and restraints, kindly check the Table Of Contents.

Segment Analysis

Software held 63.4% of the AI-augmented security analyst platforms market share in 2025, which confirms that the first buying motion still centers on platform subscriptions and core product licenses. AI-assisted SIEM, XDR, and threat intelligence tools remain the primary commercial entry points because enterprises still prefer buying a platform before committing to deeper process redesign. The software lead also reflects how buyers frame the category, since platform coverage, telemetry integration, and investigation capability are usually evaluated before operational support layers. Even so, the AI-augmented security analyst platforms market is no longer defined solely by software, as services are gaining weight, with deployment maturity as the main challenge.

Services are projected to expand at a 23.7% CAGR through 2031, making it the fastest-growing component of the AI-augmented security analyst platforms market. That pace reflects the practical work needed after purchase, including tuning, playbook development, model calibration, process alignment, and ongoing optimization. The draft also ties this pattern to skills depth because many organizations can buy advanced platforms more easily than they can operationalize them internally. Research reported in March 2026 found that 60% of organizations identified skills gaps, rather than simple headcount shortages, as their main cybersecurity challenge, supporting demand for external implementation and managed support. The result is a component mix where the AI-augmented security analyst platforms market is moving from first-stage adoption toward a more service-led operating model.

Threat Detection and Alert Management accounted for 21.2% of the AI-augmented security analyst platforms market size in 2025, showing that detection remains the most established application area. This lead stems from installed-base maturity, as enterprises have funded AI-assisted detection workflows longer than any other application group in the category. The segment still matters because alert triage and event correlation are the daily operating core of many security teams. At the same time, the AI-augmented security analyst platforms market is showing a clear shift in marginal spending toward prevention-focused workflows rather than only faster reaction.

Exposure Management and Security Posture Analysis is projected to grow at 23.9% CAGR through 2031, making it the fastest-growing application in the AI-augmented security analyst platforms market. That shift shows that mature buyers now want to reduce the attack surface and identify exploitable gaps before they become active incidents. One vendor moved in this direction in April 2026 with Wayfinder Frontier AI Services, which paired Anthropic's Claude Opus 4.7 with senior security experts for continuous attack surface discovery and guided remediation. The same demand pattern supports incident investigation, response assistance, orchestration, and threat hunting, especially where smaller teams need deeper coverage without adding more senior analysts. Overall, application demand in the AI-augmented security analyst platforms market is broadening from alert handling into posture, exposure, and guided action.

Complete Report Scope:

• By Component
  • Software
    • AI-Assisted SIEM Platforms
    • AI-Assisted XDR Platforms
    • AI Threat Intelligence Platforms
    • Others
  • Services
• By Application
  • Threat Detection and Alert Management
  • Incident Investigation and Root Cause Analysis
  • Response Assistance and Orchestration
  • Threat Hunting
  • Exposure Management and Security Posture Analysis
• By Deployment
  • Cloud
  • On-Premises
  • Hybrid
• By Enterprise Size
  • Large Enterprises
  • Small and Medium Enterprises
• By End-user Industry
  • Government and Public Administration
  • Industrial Manufacturing
  • Retail and E-Commerce
  • Transportation and Logistics
  • Energy and Utilities
  • Oil and Gas
  • IT and Telecommunication
  • Media and Entertainment
  • Education and Research Institutions
  • Healthcare and Life Sciences
  • Banking, Financial Services, and Insurance (BFSI)
  • Other End User Industries
• By Geography
  • North America
    • United States
    • Canada
    • Mexico
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Europe
    • Germany
    • United Kingdom
    • France
    • Italy
    • Spain
    • Russia
    • Rest of Europe
  • Asia-Pacific
    • China
    • India
    • Japan
    • South Korea
    • Australia
    • Rest of Asia-Pacific
  • Middle East and Africa
    • Middle East
      • Saudi Arabia
      • United Arab Emirates
      • Rest of Middle East
    • Africa
      • South Africa
      • Nigeria
      • Rest of Africa

Geography Analysis

North America held 33.1% of the AI-augmented security analyst platforms market share in 2025, which made it the largest regional contributor. The region benefits from deep enterprise security spending, a dense presence of platform vendors, and a policy environment in which the cost of weak cybersecurity controls is rising. The United States remains the main demand center because regulatory disclosure rules, supply chain security expectations, and defense-oriented compliance programs all increase the need for stronger operating platforms. The region also has a high concentration of hybrid multi-cloud environments, and that operating context closely matches the core problem the AI-augmented security analyst platforms market is built to solve. In practical terms, North America remains the most mature buying environment because security teams are already far enough along to justify platform consolidation, AI-assisted triage, and automation at scale.

Europe remains the second-largest regional market for AI-augmented security analyst platforms, with Germany, the United Kingdom, and France as the main demand centers. The region stands out because security purchases are now strongly shaped by the combined effect of NIS2, DORA, and the EU AI Act, which together make explainability, auditability, and sovereignty central to vendor selection. This produces a compliance-first buying pattern that differs from markets where detection performance alone remains the lead criterion. The June 2026 Sovereign Cortex with T Security announcement shows how the AI-augmented security analyst platforms market is adapting with regionalized deployment models for healthcare, financial services, public sector, and critical infrastructure buyers. South America is still earlier in adoption, with Brazil and Argentina showing interest as regulatory ideas begin to move closer to European models, though budgets and IT maturity still limit speed.

Asia-Pacific is forecast to grow at a 24.3% CAGR through 2031, making it the fastest-growing regional band in the AI-augmented security analyst platforms market. Growth is being driven by cloud infrastructure expansion, a rising base of digitally active enterprises, and stronger government-backed cybersecurity mandates across several markets. India is an important trigger point because the Digital Personal Data Protection framework and the Reserve Bank of India's June 2026 advisory are increasing scrutiny of AI-related cyber risk in the financial sector. South Korea and Japan are moving through more advanced adoption paths where large companies are building AI-enabled security operations capabilities at scale. Australia supports steady upgrade demand through public sector and critical infrastructure programs linked to the Essential Eight maturity model. The Middle East and Africa are growing from a smaller base, though Saudi Arabia and the UAE are creating greenfield demand as AI security capabilities become part of broader digital transformation and national cybersecurity agendas.

1. Exabeam
2. Securonix, Inc.
3. Vectra AI, Inc.
4. Darktrace plc
5. SentinelOne, Inc.
6. Palo Alto Networks, Inc.
7. CrowdStrike, Inc.
8. IBM Corporation
9. Microsoft Corporation
10. Cisco Systems, Inc.
11. Elastic N.V.
12. Stellar Cyber
13. Swimlane, Inc.
14. Torq, Inc.
15. ReliaQuest, LLC
16. Rapid7, Inc.
17. Trellix, Inc.
18. Anomali
19. Armis, Inc.
20. Google LLC

Additional Benefits:

• The market estimate (ME) sheet in Excel format
• 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

• 1.1 Study Assumptions and Market Definition
• 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET LANDSCAPE

• 4.1 Market Overview
• 4.2 Market Drivers
  • 4.2.1 Escalating Alert Volumes Across Hybrid Security Stacks
  • 4.2.2 Persistent Shortage of Experienced Security Analysts
  • 4.2.3 Rising Enterprise Demand for AI-Assisted Triage and Investigation
  • 4.2.4 Consolidation of SIEM, SOAR, XDR, and UEBA Workflows
  • 4.2.5 Higher Spend on Autonomous Response in Regulated Industries
  • 4.2.6 Growing Need for Continuous 24/7 Threat Hunting at Lower Unit Cost
• 4.3 Market Restraints
  • 4.3.1 Model Explainability Gaps in High-Risk Security Decisions
  • 4.3.2 Integration Complexity With Legacy Security Tooling
  • 4.3.3 Data Sovereignty and Privacy Constraints on Training Data
  • 4.3.4 Trust Deficit Around AI-Driven False Positives and Autonomous Action
• 4.4 Impact of Macroeconomic Factors on the Market
• 4.5 Industry Value-Chain Analysis
• 4.6 Regulatory Landscape
• 4.7 Technological Outlook
• 4.8 Porter's Five Forces Analysis
  • 4.8.1 Bargaining Power of Buyers
  • 4.8.2 Bargaining Power of Suppliers
  • 4.8.3 Threat of New Entrants
  • 4.8.4 Threat of Substitutes
  • 4.8.5 Intensity of Competitive Rivalry

5 MARKET SIZE AND GROWTH FORECASTS (VALUE)

• 5.1 By Component
  • 5.1.1 Software
    • 5.1.1.1 AI-Assisted SIEM Platforms
    • 5.1.1.2 AI-Assisted XDR Platforms
    • 5.1.1.3 AI Threat Intelligence Platforms
    • 5.1.1.4 Others
  • 5.1.2 Services
• 5.2 By Application
  • 5.2.1 Threat Detection and Alert Management
  • 5.2.2 Incident Investigation and Root Cause Analysis
  • 5.2.3 Response Assistance and Orchestration
  • 5.2.4 Threat Hunting
  • 5.2.5 Exposure Management and Security Posture Analysis
• 5.3 By Deployment
  • 5.3.1 Cloud
  • 5.3.2 On-Premises
  • 5.3.3 Hybrid
• 5.4 By Enterprise Size
  • 5.4.1 Large Enterprises
  • 5.4.2 Small and Medium Enterprises
• 5.5 By End-user Industry
  • 5.5.1 Government and Public Administration
  • 5.5.2 Industrial Manufacturing
  • 5.5.3 Retail and E-Commerce
  • 5.5.4 Transportation and Logistics
  • 5.5.5 Energy and Utilities
  • 5.5.6 Oil and Gas
  • 5.5.7 IT and Telecommunication
  • 5.5.8 Media and Entertainment
  • 5.5.9 Education and Research Institutions
  • 5.5.10 Healthcare and Life Sciences
  • 5.5.11 Banking, Financial Services, and Insurance (BFSI)
  • 5.5.12 Other End User Industries
• 5.6 By Geography
  • 5.6.1 North America
    • 5.6.1.1 United States
    • 5.6.1.2 Canada
    • 5.6.1.3 Mexico
  • 5.6.2 South America
    • 5.6.2.1 Brazil
    • 5.6.2.2 Argentina
    • 5.6.2.3 Rest of South America
  • 5.6.3 Europe
    • 5.6.3.1 Germany
    • 5.6.3.2 United Kingdom
    • 5.6.3.3 France
    • 5.6.3.4 Italy
    • 5.6.3.5 Spain
    • 5.6.3.6 Russia
    • 5.6.3.7 Rest of Europe
  • 5.6.4 Asia-Pacific
    • 5.6.4.1 China
    • 5.6.4.2 India
    • 5.6.4.3 Japan
    • 5.6.4.4 South Korea
    • 5.6.4.5 Australia
    • 5.6.4.6 Rest of Asia-Pacific
  • 5.6.5 Middle East and Africa
    • 5.6.5.1 Middle East
      • 5.6.5.1.1 Saudi Arabia
      • 5.6.5.1.2 United Arab Emirates
      • 5.6.5.1.3 Rest of Middle East
    • 5.6.5.2 Africa
      • 5.6.5.2.1 South Africa
      • 5.6.5.2.2 Nigeria
      • 5.6.5.2.3 Rest of Africa

6 COMPETITIVE LANDSCAPE

• 6.1 Market Concentration
• 6.2 Strategic Moves
• 6.3 Market Share Analysis
• 6.4 Company Profiles (includes Global Level Overview, Market Level Overview, Core Segments, Financials as available, Strategic Information, Market Rank/Share, Products and Services, Recent Developments)
  • 6.4.1 Exabeam
  • 6.4.2 Securonix, Inc.
  • 6.4.3 Vectra AI, Inc.
  • 6.4.4 Darktrace plc
  • 6.4.5 SentinelOne, Inc.
  • 6.4.6 Palo Alto Networks, Inc.
  • 6.4.7 CrowdStrike, Inc.
  • 6.4.8 IBM Corporation
  • 6.4.9 Microsoft Corporation
  • 6.4.10 Cisco Systems, Inc.
  • 6.4.11 Elastic N.V.
  • 6.4.12 Stellar Cyber
  • 6.4.13 Swimlane, Inc.
  • 6.4.14 Torq, Inc.
  • 6.4.15 ReliaQuest, LLC
  • 6.4.16 Rapid7, Inc.
  • 6.4.17 Trellix, Inc.
  • 6.4.18 Anomali
  • 6.4.19 Armis, Inc.
  • 6.4.20 Google LLC

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

• 7.1 White-Space and Unmet-Need Assessment