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全球人工智慧代理身分識別及存取管理市場：按產品、功能、部署、應用、最終用戶產業和地區分類－市場規模、產業趨勢、機會分析和預測（2026-2035）

Global AI Agent Identity & Access Management Market By Offering, Capability, Deployment, Application, End-Use Industry, Region - Market Size, Industry Dynamics, Opportunity Analysis and Forecast For 2026-2035
出版日期: | 出版商: Astute Analytica | 英文 260 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

隨著企業加速在業務營運、雲端環境、應用程式和數位化工作流程中採用自主人工智慧系統，全球人工智慧代理身分識別及存取管理 (IAM) 市場正經歷著極為迅猛的成長。預計到 2025 年，該市場規模約為 3.009 億美元，到 2035 年將達到約 92.142 億美元。這意味著在 2026 年至 2035 年的預測期內，複合年成長率 (CAGR) 約為 40.8%。

推動市場擴張的一個主要因素是非人類身分的快速成長。傳統的企業身分和存取管理系統主要用於管理員工、承包商、客戶以及相對穩定的服務帳戶。隨著自主人工智慧代理的普及，這種模式正在發生根本性的變化，大量且快速成長的機器身分湧現。人工智慧代理可能需要個人憑證和權限才能與資料庫、雲端平台、軟體應用程式、API 和其他代理程式互動。

顯著的市場趨勢

隨著企業尋求保護其快速成長的自主軟體代理、機器身分和人工智慧驅動的工作負載，人工智慧代理身分識別及存取管理市場的競爭日趨激烈。 Okta、SailPoint、Cyber​​Ark、微軟和Palo Alto Networks憑藉差異化技術、廣泛的企業合作關係以及不斷擴展的功能，在日益複雜的數位環境中對人工智慧代理進行身份驗證、授權、管治和監控，從而確立了其強大的市場地位。

Okta憑藉著「身分優先」的概念和強大的身分驗證功能，在身分和存取管理市場佔了穩固的地位。 SailPoint則專注於身分管治及其「Agentic Fabric」平台，從而鞏固了其在新興的AI代理安全領域的地位。

Cyber​​Ark 利用其在特權存取管理和身分安全領域長期累積的專業知識，應對機器身分和自主 AI 代理的快速成長。微軟憑藉其龐大的企業生態系統和 Microsoft Entra 身分與存取管理產品組合的強大功能，擁有顯著的競爭優勢。

Palo Alto Networks 透過提供支援企業安全部署 AI 所需的雲端、網路和網路安全基礎設施，佔了互補地位。這五家公司的競爭格局反映了身分管理與更廣泛的 AI 安全領域的整合。

關鍵成長要素

向自主機器工作負載的快速轉變正成為人工智慧代理身分識別及存取管理市場成長的主要驅動力。企業正日益從以人類用戶為主導的技術環境轉向高度自動化的基礎設施，在這些基礎設施中，應用程式、服務、軟體代理和自主人工智慧系統持續互動。隨著企業不斷擴展人工智慧、雲端運算、微服務、API 和自動化工作流程的應用，需要安全身分的非人類實體數量成長速度遠遠超過員工數量。這種結構性轉變催生了對專門用於管理自主機器和人工智慧代理的身份管理技術的根本需求。

新機會的趨勢

「影子人工智慧」的興起及其導致的管治缺口，為人工智慧代理身分識別及存取管理市場帶來了巨大的成長機會。隨著企業快速部署自主人工智慧系統，員工和業務團隊無需經過既定的IT配置流程，即可部署代理程式、自動化工作流程和人工智慧驅動的應用程式。雖然這種分散式部署能夠提升生產力並加快實驗速度，但也可能導致大量機器身分的湧現，這些身分不為安全或IT團隊所知，難以清點，且未經正式批准。由此產生的可見性缺口，催生了對能夠檢測、驗證、管治和監控先前未受管理的人工智慧代理的技術的強勁需求。

最佳化障礙

經營團隊既要加快人工智慧（AI）的普及應用，又要維持嚴格的安全控制，這對AI代理身分識別及存取管理市場的發展帶來了重大挑戰。隨著企業努力獲取自主AI代理帶來的生產力、成本效益和自動化優勢，高階主管可能會高度重視快速部署這些系統並最大限度地減少營運限制。這可能會在業務目標和網路安全需求之間造成衝突，尤其是在安全措施被認為會減緩AI的普及應用或限制自主系統功能的情況下。因此，即使AI代理能夠與敏感系統和資料交互，企業也可能不願實施嚴格的身份和存取控制。

目錄

第1章摘要整理

  • 全球人工智慧代理身分識別及存取管理市場

第2章：調查方法與研究框架

  • 研究目標
  • 產品概述
  • 市場區隔
  • 定性研究
    • 主要訊息
    • 二手資訊
  • 量化研究
    • 主要訊息
    • 二手資訊
  • 主要調查受訪者組成：按地區分類
  • 本研究的前提
  • 市場規模估算
  • 數據三角測量

第3章：全球人工智慧代理身分識別及存取管理市場概述

  • 產業價值鏈分析
  • 產業展望
    • 全球人工智慧代理身分識別及存取管理（代理 IAM）產業概覽
    • 非人類/機器 ID 的爆炸性成長（82:1 比例）和基於代理的工作流程的激增。
    • 雙重身分追蹤、即時存取、影子人工智慧管治、對非人類實體的零信任以及可逆協定。
  • PESTLE分析
  • 波特五力分析
  • 市場成長及前景
    • 2020-2035年市場收入估算與預測
    • 價格趨勢分析：透過報價

第4章：全球人工智慧代理身分識別及存取管理市場分析

  • 競爭對手儀表板
    • 市場集中度
    • 企業市場占有率分析，2025 年
    • 競爭對手分析與基準測試

第5章：全球人工智慧代理身分識別及存取管理市場分析

  • 市場動態和趨勢
    • 成長要素
    • 抑制因子
    • 機會
    • 主要趨勢
  • 市場規模及預測，2020-2035年
    • 報價
      • 關鍵見解
        • 代理 ID 平台
        • 授權/策略引擎
        • 管治與審計
    • 按功能
      • 關鍵見解
        • 代理身份驗證
        • 委託身份驗證/範圍設置
        • 憑證和機密管理
        • 活動審核和認證
    • 不同的發展
      • 關鍵見解
        • 雲
        • 現場
        • 混合
    • 用途別
      • 關鍵見解
        • 基於代理的工作流程安全性
        • 機器間信任
        • 監理管治
    • 按最終用途行業分類
      • 關鍵見解
        • BFSI
        • 科技
        • 衛生保健
        • 政府
        • 零售
    • 按地區
      • 關鍵見解
        • 北美洲
          • 美國
          • 加拿大
          • 墨西哥
        • 歐洲
          • 西歐
            • 英國
            • 德國
            • 法國
            • 義大利
            • 西班牙
            • 其他西歐國家
          • 東歐
            • 波蘭
            • 俄羅斯
            • 其他東歐國家
        • 亞太地區
          • 中國
          • 印度
          • 日本
          • 澳洲和紐西蘭
          • 韓國
          • ASEAN
          • 其他亞太國家
        • 中東和非洲（MEA）
          • 沙烏地阿拉伯
          • 南非
          • UAE
          • 其他中東和非洲國家
        • 南美洲
          • 阿根廷
          • 巴西
          • 其他南美國家

第6章：北美市場分析

第7章：歐洲市場分析

第8章：亞太市場分析

第9章：中東和非洲人工智慧代理身分識別及存取管理市場分析

第10章：南美市場分析

第11章：公司簡介

公司簡介（公司概況、財務指標、主要產品概述、主要負責人、主要競爭對手、聯絡資訊和業務策略展望）

  • 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)
  • 其他主要公司

第12章附錄

簡介目錄
Product Code: AA07261916

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