AI 에이전트 ID 및 액세스 관리 시장 : 제공, 기능, 배포, 용도, 최종 용도 산업, 지역별 - 시장 규모, 업계 동향, 기회 분석 및 예측(2026-2035년)

The global AI Agent Identity and Access Management (IAM) market is entering a period of exceptionally rapid expansion as enterprises increasingly adopt autonomous AI systems across business operations, cloud environments, applications, and digital workflows. The market was estimated at approximately USD 300.9 million in 2025 and is projected to reach around USD 9,214.2 million by 2035, representing a compound annual growth rate (CAGR) of approximately 40.8% during the 2026-2035 forecast period.

A major factor accelerating this market expansion is the rapid proliferation of non-human identities. Traditional enterprise identity and access-management systems were primarily designed to manage employees, contractors, customers, and relatively stable service accounts. The increasing deployment of autonomous AI agents is fundamentally changing this model by introducing large and rapidly expanding populations of machine identities. AI agents may require distinct credentials and permissions to interact with databases, cloud platforms, software applications, APIs, and other agents.

Noteworthy Market Developments

The AI agent identity and access management market is becoming increasingly competitive as enterprises seek to secure rapidly expanding populations of autonomous software agents, machine identities, and AI-driven workloads. Okta, SailPoint, CyberArk, Microsoft, and Palo Alto Networks have established particularly strong positions through differentiated technologies, broad enterprise relationships, and expanding capabilities designed to authenticate, authorize, govern, and monitor AI agents across increasingly complex digital environments.

Okta has established a strong position in the identity and access-management market through its identity-first approach and extensive authentication capabilities. SailPoint has strengthened its position in the emerging AI agent security landscape through its focus on identity governance and its Agentic Fabric platform.

CyberArk is leveraging its long-standing expertise in privileged access management and identity security to address the rapid expansion of machine identities and autonomous AI agents. Microsoft has a significant competitive advantage through the scale of its enterprise ecosystem and the capabilities of its Microsoft Entra identity and access-management portfolio.

Palo Alto Networks occupies a complementary position by providing the cloud, network, and cybersecurity foundations required to support secure enterprise-wide AI deployments. The competitive positioning of these five companies reflects the convergence of identity management and broader AI security.

Core Growth Driver

The rapid shift toward autonomous machine workloads has emerged as a major factor driving growth in the AI agent identity and access management market. Enterprises are increasingly moving away from technology environments dominated primarily by human users and toward highly automated infrastructures in which applications, services, software agents, and autonomous AI systems continuously interact with one another. As organizations expand their use of artificial intelligence, cloud computing, microservices, APIs, and automated workflows, the number of non-human entities requiring secure identities is growing at a substantially faster rate than the human workforce. This structural transformation is creating a fundamental need for identity-management technologies specifically designed to govern autonomous machines and AI agents.

Emerging Opportunity Trends

The emergence of "Shadow AI" and the resulting governance vacuum represents a significant opportunity for the growth of the AI agent identity and access management market. As organizations rapidly adopt autonomous AI systems, employees and business teams are increasingly able to deploy agents, automated workflows, and AI-powered applications without going through established information-technology provisioning processes. While this decentralized adoption can accelerate productivity and experimentation, it can also create a growing population of machine identities that security and IT teams may not know about, cannot easily inventory, and have not formally authorized. The resulting visibility gap is creating strong demand for technologies capable of discovering, authenticating, governing, and monitoring previously unmanaged AI agents.

Barriers to Optimization

Executive pressure to accelerate AI adoption while simultaneously maintaining strict security controls represents a significant challenge to the growth of the AI agent identity and access management market. As enterprises seek to capture the productivity, cost-efficiency, and automation benefits associated with autonomous AI agents, senior executives may place strong emphasis on deploying these systems rapidly and minimizing operational restrictions. This can create tension between business objectives and cybersecurity requirements, particularly when security controls are perceived as slowing down AI deployment or limiting the functionality of autonomous systems. As a result, organizations may be reluctant to implement stringent identity and access controls even when their AI agents are capable of interacting with sensitive systems and data.

Detailed Market Segmentation

By capability, agent authentication represents the leading segment of the AI agent identity and access management market in 2026, reflecting the growing importance of establishing trusted identities for autonomous software entities. As enterprises increasingly deploy AI agents to perform operational, analytical, and decision-making tasks, traditional identity mechanisms based on usernames, passwords, and static service credentials are becoming less suitable. Autonomous agents can operate continuously, interact with multiple systems, initiate actions without direct human intervention, and dynamically respond to changing conditions. These characteristics create a need for authentication mechanisms specifically designed to verify machine identities reliably and continuously.

By deployment, cloud-based solutions continue to occupy the leading position in the AI agent identity and access management market, largely because modern autonomous AI environments require highly scalable, flexible, and continuously available infrastructure. As enterprises increasingly deploy AI agents across cloud applications, software platforms, data environments, and automated workflows, conventional identity-management architectures designed primarily for fixed on-premises systems are becoming less suitable. Cloud deployment enables organizations to manage rapidly expanding populations of non-human identities while providing the flexibility required to support autonomous agents operating across geographically distributed and dynamically changing technology environments.

By application, agentic workflow security represents the largest segment of the AI agent identity and access management market. Its growing prominence is closely associated with the rapid adoption of agentic AI systems within enterprises, particularly as organizations move beyond isolated AI assistants toward complex environments in which multiple autonomous agents collaborate to complete business processes. These compound AI systems can divide tasks among specialized agents, exchange information, invoke external tools, access enterprise applications, and make sequential decisions with limited human intervention. While this architecture can significantly improve operational efficiency and automation, it also introduces a more complex security environment in which every participating agent must be accurately identified, authenticated, authorized, and monitored.

By end user, the banking, financial services, and insurance (BFSI) sector represents the dominant segment of the AI agent identity and access management market. This leadership is driven by the sector's extensive reliance on highly sensitive financial information, stringent regulatory requirements, and growing deployment of autonomous AI systems across critical business operations. Financial institutions manage large volumes of confidential customer information, transaction records, payment data, investment portfolios, and other high-value digital assets, making robust identity verification and access governance essential. As AI agents become increasingly integrated into these environments, financial organizations must ensure that autonomous systems are properly authenticated, authorized, monitored, and restricted according to their specific responsibilities.

Segment Breakdown

By Offering

• Agent Identity Platforms
• Authorization/Policy Engines
• Governance & Audit

By Capability

• Agent Authentication
• Delegated Authorization/Scoping
• Credential & Secret Management
• Activity Audit & Attestation

By Deployment

• Cloud
• On-Premises
• Hybrid

By Application

• Agentic Workflow Security
• Machine-to-Machine Trust
• Regulatory Governance

By End-Use Industry

• BFSI
• Technology
• Healthcare
• Government
• Retail

By Region

• North America
• The U.S.
• Canada
• Mexico
• Europe
• Western Europe
• The UK
• Germany
• France
• Italy
• Spain
• Rest of Western Europe
• Eastern Europe
• Poland
• Russia
• Rest of Eastern Europe
• Asia Pacific
• China
• India
• Japan
• Australia & New Zealand
• South Korea
• ASEAN
• Rest of Asia Pacific
• Middle East & Africa (MEA)
• Saudi Arabia
• South Africa
• UAE
• Rest of MEA
• South America
• Argentina
• Brazil
• Rest of South America

Geography Breakdown

• North America maintained a dominant position in the global AI Agent Identity and Access Management market in 2026, supported by a highly concentrated technology ecosystem that brings together leading hyperscale cloud providers, rapidly expanding artificial intelligence startups, established cybersecurity companies, and mature enterprise security infrastructures. The region has developed a particularly strong foundation for managing the identities, permissions, credentials, and access privileges of autonomous AI agents as organizations increasingly integrate intelligent systems into business-critical workflows.
• The United States serves as the principal contributor to this regional leadership, accounting for approximately 75% of North American revenue. Its position is reinforced by the exceptional concentration of technology companies, financial institutions, cloud-service providers, cybersecurity vendors, and AI developers operating within the country. American enterprises are among the most active adopters of autonomous AI agents, deploying them across software development, customer service, cybersecurity operations, financial services, data analysis, enterprise automation, and other business-critical functions.
• Canada further strengthens North America's competitive position through its rapidly developing artificial intelligence research and technology ecosystem. Major AI research centers in Toronto and Montreal have contributed significantly to advances in machine learning, trustworthy AI, cybersecurity, and related fields. These research capabilities provide a strong foundation for developing new approaches to authentication, identity verification, cryptographic security, and secure interactions between autonomous systems.
• Leading Market Participants
• Okta (Auth for GenAI)
• Microsoft (Entra Agent ID)
• Ping Identity
• SailPoint
• CyberArk
• Descope
• WorkOS
• Astrix Security
• Aembit
• Oasis Security
• Token Security
• Andesite
• Stytch
• Cisco (identity)
• Google (Agentspace identity)
• Other Prominent Players

Table of Content

Chapter 1. Executive Summary

• 1.1. Global AI Agent Identity & Access Management Market

Chapter 2. Research Methodology & Research Framework

• 2.1. Research Objective
• 2.2. Product Overview
• 2.3. Market Segmentation
• 2.4. Qualitative Research
  • 2.4.1. Primary Sources
  • 2.4.2. Secondary Sources
• 2.5. Quantitative Research
  • 2.5.1. Primary Sources
  • 2.5.2. Secondary Sources
• 2.6. Breakdown of Primary Research Respondents, By Region
• 2.7. Assumption for Study
• 2.8. Market Size Estimation
• 2.9. Data Triangulation

Chapter 3. Global AI Agent Identity & Access Management Market Overview

• 3.1. Industry Value Chain Analysis
  • 3.1.1. Cryptographic / Identity Primitive & Secrets-Management Providers
  • 3.1.2. Agent Identity Platform & Authorization/Policy Engine Developers
  • 3.1.3. Governance, Audit & CIEM Integration Providers
  • 3.1.4. Systems Integration, Zero-Trust & DevOps Pipeline Partners
  • 3.1.5. End Users (BFSI, Technology, Healthcare, Government, Retail)
• 3.2. Industry Outlook
  • 3.2.1. Overview of the Global AI Agent Identity & Access Management (Agent IAM) Industry
  • 3.2.2. Non-Human / Machine Identity Explosion (82:1 Ratio) & Agentic Workflow Proliferation
  • 3.2.3. Dual-Identity Tracking, Just-In-Time Access, Shadow-AI Governance, Zero-Trust for Non-Human Entities & Reversibility Protocols
• 3.3. PESTLE Analysis
• 3.4. Porter's Five Forces Analysis
  • 3.4.1. Bargaining Power of Suppliers
  • 3.4.2. Bargaining Power of Buyers
  • 3.4.3. Threat of New Entrants
  • 3.4.4. Threat of Substitutes
  • 3.4.5. Intensity of Rivalry
• 3.5. Market Growth and Outlook
  • 3.5.1. Market Revenue Estimates and Forecast (US$ Mn), 2020-2035
  • 3.5.2. Price Trend Analysis, By Offering

Chapter 4. Global AI Agent Identity & Access Management Market Analysis

• 4.1. Competition Dashboard
  • 4.1.1. Market Concentration Rate
  • 4.1.2. Company Market Share Analysis (Value %), 2025
  • 4.1.3. Competitor Mapping & Benchmarking

Chapter 5. Global AI Agent Identity & Access Management Market Analysis

• 5.1. Market Dynamics and Trends
  • 5.1.1. Growth Drivers
  • 5.1.2. Restraints
  • 5.1.3. Opportunity
  • 5.1.4. Key Trends
• 5.2. Market Size and Forecast, 2020-2035 (US$ Mn)
  • 5.2.1. By Offering
    • 5.2.1.1. Key Insights
      • 5.2.1.1.1. Agent Identity Platforms
      • 5.2.1.1.2. Authorization/Policy Engines
      • 5.2.1.1.3. Governance & Audit
  • 5.2.2. By Capability
    • 5.2.2.1. Key Insights
      • 5.2.2.1.1. Agent Authentication
      • 5.2.2.1.2. Delegated Authorization/Scoping
      • 5.2.2.1.3. Credential & Secret Management
      • 5.2.2.1.4. Activity Audit & Attestation
  • 5.2.3. By Deployment
    • 5.2.3.1. Key Insights
      • 5.2.3.1.1. Cloud
      • 5.2.3.1.2. On-Premises
      • 5.2.3.1.3. Hybrid
  • 5.2.4. By Application
    • 5.2.4.1. Key Insights
      • 5.2.4.1.1. Agentic Workflow Security
      • 5.2.4.1.2. Machine-to-Machine Trust
      • 5.2.4.1.3. Regulatory Governance
  • 5.2.5. By End-Use Industry
    • 5.2.5.1. Key Insights
      • 5.2.5.1.1. BFSI
      • 5.2.5.1.2. Technology
      • 5.2.5.1.3. Healthcare
      • 5.2.5.1.4. Government
      • 5.2.5.1.5. Retail
  • 5.2.6. By Region
    • 5.2.6.1. Key Insights
      • 5.2.6.1.1. North America
        • 5.2.6.1.1.1. The U.S.
        • 5.2.6.1.1.2. Canada
        • 5.2.6.1.1.3. Mexico
      • 5.2.6.1.2. Europe
        • 5.2.6.1.2.1. Western Europe
          • 5.2.6.1.2.1.1. The UK
          • 5.2.6.1.2.1.2. Germany
          • 5.2.6.1.2.1.3. France
          • 5.2.6.1.2.1.4. Italy
          • 5.2.6.1.2.1.5. Spain
          • 5.2.6.1.2.1.6. Rest of Western Europe
        • 5.2.6.1.2.2. Eastern Europe
          • 5.2.6.1.2.2.1. Poland
          • 5.2.6.1.2.2.2. Russia
          • 5.2.6.1.2.2.3. Rest of Eastern Europe
      • 5.2.6.1.3. Asia Pacific
        • 5.2.6.1.3.1. China
        • 5.2.6.1.3.2. India
        • 5.2.6.1.3.3. Japan
        • 5.2.6.1.3.4. Australia & New Zealand
        • 5.2.6.1.3.5. South Korea
        • 5.2.6.1.3.6. ASEAN
        • 5.2.6.1.3.7. Rest of Asia Pacific
      • 5.2.6.1.4. Middle East & Africa (MEA)
        • 5.2.6.1.4.1. Saudi Arabia
        • 5.2.6.1.4.2. South Africa
        • 5.2.6.1.4.3. UAE
        • 5.2.6.1.4.4. Rest of MEA
      • 5.2.6.1.5. South America
        • 5.2.6.1.5.1. Argentina
        • 5.2.6.1.5.2. Brazil
        • 5.2.6.1.5.3. Rest of South America

Chapter 6. North America Market Analysis

• 6.1. Market Dynamics and Trends
  • 6.1.1. Growth Drivers
  • 6.1.2. Restraints
  • 6.1.3. Opportunity
  • 6.1.4. Key Trends
• 6.2. Market Size and Forecast, 2020-2035 (US$ Mn)
  • 6.2.1. Key Insights
    • 6.2.1.1. By Offering
    • 6.2.1.2. By Capability
    • 6.2.1.3. By Deployment
    • 6.2.1.4. By Application
    • 6.2.1.5. By End-Use Industry
    • 6.2.1.6. By Country

Chapter 7. Europe Market Analysis

• 7.1. Market Dynamics and Trends
  • 7.1.1. Growth Drivers
  • 7.1.2. Restraints
  • 7.1.3. Opportunity
  • 7.1.4. Key Trends
• 7.2. Market Size and Forecast, 2020-2035 (US$ Mn)
  • 7.2.1. Key Insights
    • 7.2.1.1. By Offering
    • 7.2.1.2. By Capability
    • 7.2.1.3. By Deployment
    • 7.2.1.4. By Application
    • 7.2.1.5. By End-Use Industry
    • 7.2.1.6. By Country

Chapter 8. Asia Pacific Market Analysis

• 8.1. Market Dynamics and Trends
  • 8.1.1. Growth Drivers
  • 8.1.2. Restraints
  • 8.1.3. Opportunity
  • 8.1.4. Key Trends
• 8.2. Market Size and Forecast, 2020-2035 (US$ Mn)
  • 8.2.1. Key Insights
    • 8.2.1.1. By Offering
    • 8.2.1.2. By Capability
    • 8.2.1.3. By Deployment
    • 8.2.1.4. By Application
    • 8.2.1.5. By End-Use Industry
    • 8.2.1.6. By Country

Chapter 9. Middle East & Africa (MEA) Market Analysis

• 9.1. Market Dynamics and Trends
  • 9.1.1. Growth Drivers
  • 9.1.2. Restraints
  • 9.1.3. Opportunity
  • 9.1.4. Key Trends
• 9.2. Market Size and Forecast, 2020-2035 (US$ Mn)
  • 9.2.1. Key Insights
    • 9.2.1.1. By Offering
    • 9.2.1.2. By Capability
    • 9.2.1.3. By Deployment
    • 9.2.1.4. By Application
    • 9.2.1.5. By End-Use Industry
    • 9.2.1.6. By Country

Chapter 10. South America Market Analysis

• 10.1. Market Dynamics and Trends
  • 10.1.1. Growth Drivers
  • 10.1.2. Restraints
  • 10.1.3. Opportunity
  • 10.1.4. Key Trends
• 10.2. Market Size and Forecast, 2020-2035 (US$ Mn)
  • 10.2.1. Key Insights
    • 10.2.1.1. By Offering
    • 10.2.1.2. By Capability
    • 10.2.1.3. By Deployment
    • 10.2.1.4. By Application
    • 10.2.1.5. By End-Use Industry
    • 10.2.1.6. By Country

Chapter 11. Company Profile

Company Profile (Company Overview, Financial Matrix, Key Product landscape, Key Personnel, Key Competitors, Contact Address, and Business Strategy Outlook)

• 11.1. Okta (Auth for GenAI)
• 11.2. Microsoft (Entra Agent ID)
• 11.3. Ping Identity
• 11.4. SailPoint
• 11.5. CyberArk
• 11.6. Descope
• 11.7. WorkOS
• 11.8. Astrix Security
• 11.9. Aembit
• 11.10. Oasis Security
• 11.11. Token Security
• 11.12. Andesite
• 11.13. Stytch
• 11.14. Cisco (identity)
• 11.15. Google (Agentspace identity)
• 11.16. Other Prominent Players

Chapter 12. Annexure

• 12.1. List of Secondary Sources
• 12.2. Key Country Markets- Macro Economic Outlook/Indicators