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Model Context Protocol Security - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2026-2031)

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    Report

  • 160 Pages
  • September 2026
  • Region: Global
  • Mordor Intelligence
  • ID: 6287135
The model context protocol security market size was valued at USD 134.24 million in 2025 and estimated to grow from USD 169.73 million in 2026 to reach USD 624.46 million by 2031, at a CAGR of 29.76% during the forecast period (2026-2031). This report is segmented by Security Capability (MCP Discovery and Inventory, MCP Security Assessment and Scanning, MCP Gateway, and More), Deployment (Cloud, On-Premises, and Hybrid), Organization Size (Large Enterprises, and Small and Medium-Sized Enterprises), End User (Government and Public Administration, and More), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

Global Model Context Protocol Security Market Trends and Insights

Enterprise MCP Adoption Expands the Control Surface

Enterprise MCP deployment is widening the range of systems that security teams must govern. Palo Alto Networks reported that 81% of enterprises were piloting or deploying AI agents when it announced its Portkey transaction in April 2026. Each connected MCP server can introduce opportunities for tool-call interception, credential loss, or prompt injection, and it can add a connection that security teams need to inventory. These risks can compound when several servers use the same client session and rely on common credentials or shared context. The U.S. National Security Agency identified insecure context serialization, missing access controls, and inadequate audit logs as design concerns in its June 2026 MCP guidance. Security teams that formerly reviewed a limited set of API connections can now face many MCP servers deployed by development groups without a consistent review process. The gap between MCP adoption and governance maturity supports continuing demand across the model context protocol security market.

Growth of Agentic Workflows and Tool Chaining

Multi-agent workflows create authorization questions that conventional enterprise controls do not always resolve. An orchestrator can delegate work to a subagent that then calls an MCP tool, making effective privilege difficult to determine and making accountability less direct. OWASP identifies the confused deputy problem and related authorization weaknesses in its MCP security guidance. Tool chaining can also expand exposure through cross-server data movement and persistence after a session ends. Palo Alto Networks positioned Portkey as a centralized control plane for AI-agent transactions when it completed the acquisition in May 2026. This approach reflects the need to trace activity across agent, model, and tool interactions. Monitoring, analytics, audit, and incident-response offerings, therefore, have a larger role in the model context protocol security market as enterprises seek to detect behavior that static policies do not identify.

Immature Standards and Uneven Client Implementations

Differences between protocol specifications and client behavior can slow adoption of MCP security controls. A May 2026 study of 7 commercial MCP clients found that 5 had no static validation of tool descriptions and 2 provided only partial validation. The study found that poisoned tool metadata could reach language models without inspection. It also rated Cursor unsafe across all 4 tested attack scenarios, including those involving credential-file access and remote script execution. Gateway controls alone may therefore leave client-side validation gaps unresolved. The July 2026 specification introduced lifecycle management and a 12-month deprecation policy, but alignment between specifications and deployed clients will take time. Organizations must consider both client exposure and gateway capabilities when selecting a model context protocol security market solution.

Other drivers and restraints analyzed in the detailed report include:
  • Mandatory OAuth 2.1 and Enterprise Authorization Requirements
  • Increasing MCP Server Supply-Chain Exposure
  • Alert Fatigue and Approval Friction

Segment Analysis

MCP gateway and runtime policy enforcement accounted for 24.63% of the model context protocol security market size in 2025. Enterprises use gateways as a model-agnostic point to evaluate tool calls before execution, regardless of the AI client or agent framework that originates a request. This position reflects an immediate need to control the boundary between agent runtimes and external tool servers, where access policies can be applied before a tool completes its task. Other capability areas include discovery and inventory, security assessment and scanning, identity and secrets security, tool and context protection, sandboxing, monitoring and audit, and incident response services. These areas cover defense layers that gateway products do not provide on their own, particularly where threats arise in instructions, identities, runtime behavior, or server configuration.

MCP tool, prompt, and context security is projected to grow at a 32.18% CAGR through 2031. The model context protocol security market share held by gateway controls does not eliminate risks from malicious instructions embedded in server-provided tool metadata. A peer-reviewed threat-modeling study assigned tool poisoning a DREAD severity score of 50 out of 50 and showed why metadata validation matters. Tool-description integrity and prompt-injection controls operate at the agent-framework layer, while gateways operate at the deployment-infrastructure layer. This separation supports investment in context security, monitoring, and audit records. Incident response and managed services also address the needs of mid-market firms that do not have internal teams to operate specialized controls.

Cloud deployment accounted for 59.81% of spending in 2025. Early demand came from enterprise teams operating cloud-hosted agent applications and SaaS-connected MCP servers. These buyers favored products that avoided separate security infrastructure. On-premises deployment addresses environments involving healthcare records, financial transactions, and government-classified information. In those settings, internal policy can restrict cloud transmission of agent-level interactions.

Hybrid deployment is projected to grow at a 31.57% CAGR through 2031. Large financial institutions and defense-adjacent organizations are using local enforcement for sensitive tool calls and cloud-managed discovery and audit functions for the wider MCP estate. The stateless architecture described in the July 2026 specification supports per-request policy evaluation without persistent server-side session state. Docker describes a pattern in which local containers isolate servers with resource limits while central policy management connects to a cloud-administered console. The model context protocol security market size for hybrid delivery benefits when organizations require both local control and centralized visibility, rather than choosing one deployment method for every workload.

Complete Report Scope:

  • By Security Capability
    • MCP Discovery and Inventory
    • MCP Security Assessment and Scanning
    • MCP Gateway and Runtime Policy Enforcement
    • MCP Identity, Authorization and Secrets Security
    • MCP Tool, Prompt and Context Security
    • MCP Sandboxing and Runtime Isolation
    • MCP Monitoring, Analytics and Audit
    • MCP Incident Response and Managed Security Services
  • By Deployment
    • Cloud
    • On-Premises
    • Hybrid
  • By Organization Size
    • Large Enterprises
    • Small and Medium-Sized Enterprises
  • By End User
    • 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 users
  • By Geography
    • North America
      • United States
      • Canada
      • Mexico
    • South America
      • Brazil
      • Argentina
      • Rest of South America
    • Europe
      • Germany
      • United Kingdom
      • France
      • Italy
      • BENELUX
      • Rest of Europe
    • Asia-Pacific
      • China
      • Japan
      • India
      • South Korea
      • Australia
      • Rest of Asia-Pacific
    • Middle East and Africa
      • Middle East
        • United Arab Emirates
        • Saudi Arabia
        • Rest of Middle East
      • Africa
        • South Africa
        • Nigeria
        • Egypt
        • Rest of Africa

Geography Analysis

North America held 39.16% of regional spending in 2025. The region had a high concentration of enterprise AI-agent deployments, established cloud adoption, and major platform security vendors. Amazon Web Services added MCP proxy support to API Gateway in December 2025, while Microsoft integrated MCP governance into Defender and Purview. These actions made model context protocol security market capabilities more accessible through existing cloud infrastructure. South America remained at an early stage, with Brazil leading financial institution pilots of agent deployments.

Asia-Pacific is projected to grow at a 36.53% CAGR through 2031. Singapore's IMDA published an agentic-AI governance framework in 2026 that calls for MCP server whitelisting, sandbox controls, and audit logging. The Cyber Security Agency of Singapore published its Addendum on Securing Agentic AI Systems in June 2026, setting out lifecycle controls for enterprise users. Japan's enterprise AI base, India's expanding IT services sector, South Korea's semiconductor manufacturers, and Australia's financial-services organizations support regional demand, while Singapore's governance measures create a clear procurement basis for security controls. These factors position Asia-Pacific for faster growth in the model context protocol security market.

Europe is shaped by compliance requirements for high-risk AI systems and critical infrastructure operators. The EU AI Act creates audit obligations that support demand for MCP monitoring and audit tools. NIS2 risk-management requirements have applied to critical-infrastructure operators since January 2025, creating procurement signals among German and French enterprises. The Middle East and Africa is led by the United Arab Emirates and Saudi Arabia through smart-city and Vision 2030 digital-transformation programs. Managed security service providers are the main delivery channel in this region because MCP security expertise remains concentrated among a limited number of larger enterprises, which can make externally delivered controls important for model context protocol security market adoption.


List of Companies Covered in this Report:

  • Microsoft Corporation
  • Docker, Inc.
  • Palo Alto Networks, Inc.
  • Proofpoint, Inc.
  • Lasso Security Ltd.
  • International Business Machines Corporation
  • Anthropic PBC
  • OpenAI, Inc.
  • Invariant Labs GmbH
  • Enkrypt AI, Inc.
  • Akto Security, Inc.
  • TrueFoundry, Inc.
  • MintMCP, Inc.
  • Lunar.dev Ltd.
  • Composio Technologies, Inc.
  • Kong Inc.
  • Tyk Technologies Ltd.
  • Gravitee.io
  • Portkey AI, Inc.
  • Runlayer, Inc.
  • Obot AI, Inc.
  • Okta, Inc.
  • Cloudflare, Inc.
  • Cisco Systems, Inc.
  • Google LLC
  • Amazon Web Services, 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 METHODOLOGY3 EXECUTIVE SUMMARY
4 MARKET LANDSCAPE
4.1 Market Overview
4.2 Market Drivers
4.2.1 Enterprise MCP Adoption Expands the Control Surface
4.2.2 Mandatory OAuth 2.1 and Enterprise Authorization Requirements
4.2.3 Rising Shadow MCP Discovery and Governance Needs
4.2.4 Growth of Agentic Workflows and Tool Chaining
4.2.5 Increasing MCP Server Supply-Chain Exposure
4.2.6 Regulatory Demand for Traceable AI Actions
4.3 Market Restraints
4.3.1 Immature Standards and Uneven Client Implementations
4.3.2 Alert Fatigue and Approval Friction
4.3.3 Limited MCP-Specific Security Budgets
4.3.4 Performance and Privacy Trade-offs in Inline Inspection
4.4 Industry Value-Chain Analysis
4.4.1 MCP Host, Client, and Server Ecosystem
4.4.2 Tool Registry and Package Provenance
4.4.3 Security Control and Enforcement Layer
4.4.4 Identity, Authorization, and Secrets Infrastructure
4.4.5 Monitoring, Incident Response, and Compliance Services
4.5 Impact of Macroeconomic Factors
4.6 Regulatory Landscape
4.6.1 OAuth 2.1, RFC 8707, and RFC 9728 Requirements
4.6.2 Data Protection and Privacy Obligations
4.6.3 Software Supply-Chain and Secure Development Requirements
4.6.4 Critical Infrastructure and Sector-Specific Controls
4.7 Technological Outlook
4.7.1 Prompt-Injection and Tool-Poisoning Detection
4.7.2 Tool Description Integrity and Rug-Pull Detection
4.7.3 Policy-Enforcing MCP Gateways and Proxies
4.7.4 Runtime Sandboxing and Container Isolation
4.7.5 Behavioral Analytics and Toxic-Flow Analysis
4.7.6 Cryptographic Attestation and Capability Verification
4.8 Porter's Five Forces Analysis
4.8.1 Threat of New Entrants
4.8.2 Bargaining Power of Suppliers
4.8.3 Bargaining Power of Buyers
4.8.4 Threat of Substitutes
4.8.5 Competitive Rivalry
5 MARKET SIZE AND GROWTH FORECASTS (VALUE)
5.1 By Security Capability
5.1.1 MCP Discovery and Inventory
5.1.2 MCP Security Assessment and Scanning
5.1.3 MCP Gateway and Runtime Policy Enforcement
5.1.4 MCP Identity, Authorization and Secrets Security
5.1.5 MCP Tool, Prompt and Context Security
5.1.6 MCP Sandboxing and Runtime Isolation
5.1.7 MCP Monitoring, Analytics and Audit
5.1.8 MCP Incident Response and Managed Security Services
5.2 By Deployment
5.2.1 Cloud
5.2.2 On-Premises
5.2.3 Hybrid
5.3 By Organization Size
5.3.1 Large Enterprises
5.3.2 Small and Medium-Sized Enterprises
5.4 By End User
5.4.1 Government and Public Administration
5.4.2 Industrial Manufacturing
5.4.3 Retail and E-Commerce
5.4.4 Transportation and Logistics
5.4.5 Energy and Utilities
5.4.6 Oil and Gas
5.4.7 IT and Telecommunication
5.4.8 Media and Entertainment
5.4.9 Education and Research Institutions
5.4.10 Healthcare and Life Sciences
5.4.11 Banking, Financial Services, and Insurance (BFSI)
5.4.12 Other End users
5.5 By Geography
5.5.1 North America
5.5.1.1 United States
5.5.1.2 Canada
5.5.1.3 Mexico
5.5.2 South America
5.5.2.1 Brazil
5.5.2.2 Argentina
5.5.2.3 Rest of South America
5.5.3 Europe
5.5.3.1 Germany
5.5.3.2 United Kingdom
5.5.3.3 France
5.5.3.4 Italy
5.5.3.5 BENELUX
5.5.3.6 Rest of Europe
5.5.4 Asia-Pacific
5.5.4.1 China
5.5.4.2 Japan
5.5.4.3 India
5.5.4.4 South Korea
5.5.4.5 Australia
5.5.4.6 Rest of Asia-Pacific
5.5.5 Middle East and Africa
5.5.5.1 Middle East
5.5.5.1.1 United Arab Emirates
5.5.5.1.2 Saudi Arabia
5.5.5.1.3 Rest of Middle East
5.5.5.2 Africa
5.5.5.2.1 South Africa
5.5.5.2.2 Nigeria
5.5.5.2.3 Egypt
5.5.5.2.4 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 Microsoft Corporation
6.4.2 Docker, Inc.
6.4.3 Palo Alto Networks, Inc.
6.4.4 Proofpoint, Inc.
6.4.5 Lasso Security Ltd.
6.4.6 International Business Machines Corporation
6.4.7 Anthropic PBC
6.4.8 OpenAI, Inc.
6.4.9 Invariant Labs GmbH
6.4.10 Enkrypt AI, Inc.
6.4.11 Akto Security, Inc.
6.4.12 TrueFoundry, Inc.
6.4.13 MintMCP, Inc.
6.4.14 Lunar.dev Ltd.
6.4.15 Composio Technologies, Inc.
6.4.16 Kong Inc.
6.4.17 Tyk Technologies Ltd.
6.4.18 Gravitee.io
6.4.19 Portkey AI, Inc.
6.4.20 Runlayer, Inc.
6.4.21 Obot AI, Inc.
6.4.22 Okta, Inc.
6.4.23 Cloudflare, Inc.
6.4.24 Cisco Systems, Inc.
6.4.25 Google LLC
6.4.26 Amazon Web Services, Inc.
7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK
7.1 White-Space and Unmet-Need Assessment

Companies Mentioned (Partial List)

A selection of companies mentioned in this report includes, but is not limited to:

  • Microsoft Corporation
  • Docker, Inc.
  • Palo Alto Networks, Inc.
  • Proofpoint, Inc.
  • Lasso Security Ltd.
  • International Business Machines Corporation
  • Anthropic PBC
  • OpenAI, Inc.
  • Invariant Labs GmbH
  • Enkrypt AI, Inc.
  • Akto Security, Inc.
  • TrueFoundry, Inc.
  • MintMCP, Inc.
  • Lunar.dev Ltd.
  • Composio Technologies, Inc.
  • Kong Inc.
  • Tyk Technologies Ltd.
  • Gravitee.io
  • Portkey AI, Inc.
  • Runlayer, Inc.
  • Obot AI, Inc.
  • Okta, Inc.
  • Cloudflare, Inc.
  • Cisco Systems, Inc.
  • Google LLC
  • Amazon Web Services, Inc.