LLM 및 기반 모델 보안 시장 : 점유율 분석, 업계 동향 및 통계, 성장 예측(2026-2031년)

According to Mordor Intelligence, the LLM and Foundation Model Security Market size is expected to increase from USD 2.27 billion in 2025 to USD 2.88 billion in 2026 and reach USD 8.26 billion by 2031, growing at a CAGR of 23.5% over 2026-2031.

This report is Segmented by Component (Solutions, and Services), Security Type (Model Security, Data Security, Application Security, and More), Deployment (Cloud, On-Premises, and Hybrid), Enterprise Size (Large Enterprises, and Small and Medium Enterprises), End-User Industry (BFSI, and More), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

Global LLM and Foundation Model Security Market Trends and Insights

Rising Enterprise Exposure to Prompt Injection and Data Exfiltration

The LLM and Foundation Model Security Market is moving faster because prompt injection is no longer a theoretical issue. OWASP ranked indirect prompt injection as LLM01:2025, indicating its growing centrality in production systems. Microsoft documented EchoLeak as a zero-click attack path against Microsoft 365 Copilot, demonstrating that attackers can target enterprise assistants without requiring direct user action. Cloud Security Alliance research also showed that many promptware incidents span multiple attack stages, indicating that model abuse now resembles broader multi-step security campaigns rather than isolated prompts. As a result, the LLM and Foundation Model Security Market is seeing stronger demand for prompt inspection, runtime guardrails, and output validation that can sit close to the model and the application layer.

Accelerating Regulatory Scrutiny on Model Governance and AI Risk Controls

The LLM and Foundation Model Security Market is also supported by a broader shift away from optional AI governance toward formal control frameworks. NIST AI guidance provides enterprises with a practical framework for mapping, measuring, managing, and governing AI risk in operational settings. In healthcare, the FDA guidance for adaptive AI devices and the HHS HIPAA Security Rule changes have pushed AI-specific monitoring and control needs into active compliance workstreams. This is changing procurement because buyers now want security tools that can produce records, policy evidence, workflow controls, and audit trails, rather than just alerts. The LLM and Foundation Model Security Market is therefore gaining recurring demand from GRC-led deployments as organizations build AI oversight into normal audit and supplier review processes.

Limited Availability of LLM Security Engineering Talent

The LLM and Foundation Model Security Market still faces a clear talent gap that slows deployment quality and speed. AI security work needs a mix of model understanding, red teaming discipline, application security, and prompt behavior analysis, and that mix remains hard to find in 2026. The IIF-EY survey in financial services found that AI oversight and governance remain difficult for many institutions, suggesting limited internal capacity to test vendor claims or run deep assurance programs. This pushes many buyers toward vendor-led implementation and managed support, which can stretch rollout timelines and reduce the amount of control they build internally. The LLM and Foundation Model Security Market therefore grows alongside demand, but not every buyer can operationalize tools at the same pace.

Other drivers and restraints analyzed in the detailed report include:

1. Expansion of Multi-Model Enterprise AI Stacks Requiring Centralized Security
2. Mainstream Commercialization of Customer-Facing LLM Applications
3. Fragmented Threat Taxonomy Slows Standardized Buying Decisions

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

Segment Analysis

Solutions accounted for 61.3% of revenue in 2025, making them the largest component of the LLM and Foundation Model Security Market. Buyers have generally preferred platforms because subscription software is easier to standardize across model teams than consulting-heavy engagements. Prompt security tools and model monitoring have moved to the front of deployment plans because production AI now needs active checks on inputs, outputs, and model behavior. Data leakage prevention and governance layers also matter because many enterprise assistants touch internal content repositories, documents, and communication tools. This keeps software platforms central to how the LLM and Foundation Model Security Market is being implemented in large accounts.

Services are projected to grow at a 24.6% CAGR through 2031, making them the fastest-expanding component of the LLM and Foundation Model Security Market. The talent shortage is a direct reason, as many organizations cannot build in-house red teaming, adversarial testing, and AI incident response capabilities quickly enough. Managed monitoring is also gaining ground as buyers try to keep pace with evolving prompts, new agents, and post-deployment policy tuning needs. Services are therefore becoming a practical extension of software adoption rather than a one-time implementation add-on. This is expanding the addressable market for the LLM and Foundation Model Security industries, especially among buyers who need operational support from the start.

Model Security held the largest share at 28.1% in 2025, which placed it at the center of the LLM and Foundation Model Security Market. Enterprises are prioritizing it because fine-tuned models, weights, and inference pathways now hold direct business value and can become targets for extraction or manipulation. Data Security and Application Security remain close behind because the context pipeline and the prompt interface are frequent entry points for sensitive information exposure and unsafe interactions. Identity and Access Security is also rising because agentic systems increasingly receive permissions, tokens, and the ability to take actions on behalf of users. This means the LLM and Foundation Model Security Market is broadening from pure model defense into a wider stack of surrounding controls.

GRC is projected to expand at a 24.7% CAGR through 2031, making it the fastest-growing security type in the LLM and Foundation Model Security Market. The growth is being driven by the need to document AI risks, assign controls, preserve evidence, and support internal reviews or external audits. Healthcare rules and enterprise AI governance programs are making those documentation needs more immediate in 2026. Buyers also value GRC spending because it gives a clearer budget case than purely reactive categories that depend on visible incidents. That makes governance software a durable growth layer within the LLM and Foundation Model Security Market as AI use moves into controlled business processes.

Complete Report Scope:

• By Component
  • Solutions
    • Prompt Security Solutions
    • Output Security and Content Moderation
    • Model Monitoring and Runtime Protection
    • Data Leakage Prevention and Data Governance
    • AI Red Teaming and Validation Platforms
    • Other Solutions
  • Services
• By Security Type
  • Model Security
  • Data Security
  • Application Security
  • Identity and Access Security
  • Governance, Risk and Compliance (GRC)
• By Deployment
  • Cloud
  • On-Premises
  • Hybrid
• By Enterprise Size
  • Large Enterprises
  • Small and Medium Enterprises
• By End-user Industry
  • BFSI
  • Healthcare and Life Sciences
  • Information Technology and Telecom
  • Retail and E-commerce
  • Industrial Manufacturing
  • Government and Public Sector
  • 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 32.2% of the LLM and Foundation Model Security Market share in 2025, which made it the largest regional market. The region benefits from a high concentration of regulated financial institutions, cloud AI infrastructure, and mature enterprise security budgets. It also has a strong base of vendors that are actively shaping the category with new products and integrations. NIST AI guidance has become an important anchor for AI governance programs in the region, especially for enterprises that want a structured framework for model oversight and operational controls. Product moves from Microsoft and CrowdStrike also show that North America remains the main launch ground for centralized agent and gateway controls in the LLM and Foundation Model Security Market.

Europe was the second-largest regional market in 2025 within the LLM and Foundation Model Security Market. Demand is being shaped by organizations that increasingly treat AI governance as a required operating discipline rather than a discretionary layer. Financial services, public institutions, and other regulated sectors continue to support buying activity focused on policy controls, documentation, and supplier assurance. Europe also remains important because buyers there tend to place heavy weight on traceability, depth of governance, and evidence that security controls can withstand formal review. That preference supports steady demand for platforms that can connect model protection with governance workflows across the LLM and Foundation Model Security Market.

Asia-Pacific is projected to expand at a 25.2% CAGR, making it the fastest-growing regional segment of the LLM and Foundation Model Security Market through 2031. The region combines large-scale enterprise AI adoption with a wide range of domestic implementation paths across China, India, Japan, and South Korea. Public sector and enterprise governance activity is also becoming more structured, which supports demand for model, data, and application controls. Since dedicated AI security tooling still has lower penetration in many Asia-Pacific deployments than in North America, the LLM and Foundation Model Security Market has more room to expand from a lower installed base.

1. Palo Alto Networks, Inc.
2. Microsoft Corporation
3. Alphabet Inc.
4. Amazon.com, Inc.
5. IBM Corporation
6. Cisco Systems, Inc.
7. CrowdStrike Holdings, Inc.
8. Check Point Software Technologies Ltd.
9. Fortinet, Inc.
10. Zscaler, Inc.
11. SentinelOne, Inc.
12. HiddenLayer
13. Darktrace plc
14. Trend Micro Incorporated
15. Elastic N.V.
16. Securonix, Inc.
17. Nightfall AI
18. Protect AI, Inc.
19. Lakera AG
20. SplxAI Inc.

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 Rising Enterprise Exposure to Prompt Injection and Data Exfiltration
  • 4.2.2 Accelerating Regulatory Scrutiny on Model Governance and AI Risk Controls
  • 4.2.3 Expansion of Multi-Model Enterprise AI Stacks Requiring Centralized Security
  • 4.2.4 Mainstream Commercialization of Customer-Facing LLM Applications
  • 4.2.5 Shift Toward Secure AI Development Lifecycles in Regulated Industries
  • 4.2.6 Growing Demand for Runtime Monitoring of Hallucinations and Unsafe Outputs
• 4.3 Market Restraints
  • 4.3.1 Limited Availability of LLM Security Engineering Talent
  • 4.3.2 Fragmented Threat Taxonomy Slows Standardized Buying Decisions
  • 4.3.3 Difficulty Proving ROI Before a Material Security Incident
  • 4.3.4 Model Access Constraints and Vendor Black-Box Limitations
• 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 Solutions
    • 5.1.1.1 Prompt Security Solutions
    • 5.1.1.2 Output Security and Content Moderation
    • 5.1.1.3 Model Monitoring and Runtime Protection
    • 5.1.1.4 Data Leakage Prevention and Data Governance
    • 5.1.1.5 AI Red Teaming and Validation Platforms
    • 5.1.1.6 Other Solutions
  • 5.1.2 Services
• 5.2 By Security Type
  • 5.2.1 Model Security
  • 5.2.2 Data Security
  • 5.2.3 Application Security
  • 5.2.4 Identity and Access Security
  • 5.2.5 Governance, Risk and Compliance (GRC)
• 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 BFSI
  • 5.5.2 Healthcare and Life Sciences
  • 5.5.3 Information Technology and Telecom
  • 5.5.4 Retail and E-commerce
  • 5.5.5 Industrial Manufacturing
  • 5.5.6 Government and Public Sector
  • 5.5.7 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 Palo Alto Networks, Inc.
  • 6.4.2 Microsoft Corporation
  • 6.4.3 Alphabet Inc.
  • 6.4.4 Amazon.com, Inc.
  • 6.4.5 IBM Corporation
  • 6.4.6 Cisco Systems, Inc.
  • 6.4.7 CrowdStrike Holdings, Inc.
  • 6.4.8 Check Point Software Technologies Ltd.
  • 6.4.9 Fortinet, Inc.
  • 6.4.10 Zscaler, Inc.
  • 6.4.11 SentinelOne, Inc.
  • 6.4.12 HiddenLayer
  • 6.4.13 Darktrace plc
  • 6.4.14 Trend Micro Incorporated
  • 6.4.15 Elastic N.V.
  • 6.4.16 Securonix, Inc.
  • 6.4.17 Nightfall AI
  • 6.4.18 Protect AI, Inc.
  • 6.4.19 Lakera AG
  • 6.4.20 SplxAI Inc.

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

• 7.1 White-Space and Unmet-Need Assessment