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人工智慧身分分析解决方案市场－全球产业规模、份额、趋势、机会、预测：按类型、应用、地区和竞争对手划分，2021-2031年

AI Identity Analytics Solution Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented, By Type, By Application (Large Enterprises, Small and Medium-sized Enterprises ), By Region & Competition, 2021-2031F
出版日期: | 出版商: TechSci Research | 英文 185 Pages | 商品交期: 2-3个工作天内

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简介目录

全球人工智慧身分分析解决方案市场预计将从 2025 年的 30.4 亿美元成长到 2031 年的 43.5 亿美元，复合年增长率为 6.15%。

这些解决方案利用先进的人工智慧和机器学习演算法，能够对使用者行为进行持续审核，检测异常情况，并识别整个企业网路中未授权存取试验。这些平台透过建立基准使用者设定文件，自动识别可能表明凭证外洩或潜在内部威胁的偏差。推动这一成长的关键因素包括日益增多的复杂身分中心型网路攻击，以及要求进行即时特权审核的严格法规结构。此外，云端原生基础设施和远距办公模式的快速普及，也加剧了对自动化管治的需求，以因应由此产生的身份激增问题。

市场概览
预测期 2027-2031
市场规模：2025年 30.4亿美元
市场规模：2031年 43.5亿美元
复合年增长率：2026-2031年 6.15%
成长最快的细分市场 中小企业
最大的市场 北美洲

根据身分定义安全联盟 (IDSA) 的数据，90% 的组织报告称，在截至 2024 年的 12 个月内，至少发生过一次与身分相关的安全事件。儘管安全增强迫在眉睫，但市场面临一个重大障碍：将这些分析工具整合到分散的旧有系统中的技术复杂性。这种整合挑战通常会导致资料孤岛的形成，阻碍有效部署所需的全面可见性，并限制市场扩张。

市场驱动因素

针对身分资讯的网路攻击和资料外洩事件日益频繁，是推动人工智慧驱动的身分分析技术普及的主要动力。随着攻击者越来越多地利用窃取的凭证绕过传统的边界安全防护，企业必须转型采用能够区分授权使用者行为和恶意横向移动的高级分析技术。人工检测的限制凸显了这项需求。 IBM 于 2024 年 7 月发布的《2024 年资料外洩成本报告》显示，识别和控制涉及凭证外洩的资料外洩事件平均需要 292 天。此外，内部人员的相关人员也使得行为监控的重要性日益凸显；Verizon 于 2024 年 5 月发布的《2024 年资料外洩调查报告》显示，68% 的资料外洩事件是由非恶意的人为因素造成的，例如社交工程和设定错误。人工智慧在检测这些因素方面尤其有效。

同时，向混合云和云环境的快速转型显着扩大了攻击面，形成了复杂的权限网络，而这些网络无法透过人工管治方法得到充分保护。随着企业基础设施的去中心化，人类和机器身分的激增导致可见性分散，使得云端环境成为复杂攻击的理想目标。这一趋势导致针对云端资产的攻击宣传活动激增。根据 CrowdStrike 于 2024 年 2 月发布的《2024 年全球威胁报告》，云端环境入侵事件较去年同期成长了 75%。因此，在企业致力于自动化管理多样化云端生态系并有效实施跨动态基础设施的零信任策略的推动下，全球人工智慧身分分析解决方案市场持续成长。

市场挑战

市场成长的一大障碍在于将身分分析整合到分散的传统基础设施中存在技术难题。企业常常面临将缺乏标准相容性的过时系统与现代分析平台同步的挑战。这种脱节造成了资料孤岛，关键使用者活动日誌被隔离，导致分析软体无法建立准确异常检测所需的全面基准。当解决方案无法存取整体情况时，其运作效用就会降低，潜在买家也会质疑其投资报酬率。

此外，克服这些架构差异所需的大量时间和资源阻碍了快速采用。面对漫长而高成本的整合流程，企业往往会中断或取消采购计划，因为这些流程可能会中断正在进行的营运。根据身分定义安全联盟 (IDSA) 的数据，到 2024 年，37% 的安全专业人员将意识到现有技术环境的复杂性是全面实施其身分安全策略的主要障碍。这种采用阻力直接限制了潜在市场规模，因为企业往往优先考虑当前环境的稳定性，而不是取得高阶分析功能。

市场趋势

目前，市场上针对机器身分和非人类实体的分析技术正显着成长。随着企业快速向云端原生架构迁移，API金钥、机器人和服务帐户的数量激增，所产生的攻击面已超越传统人性化的管治能力。为了应对这项挑战，供应商正在开发专门的行为模型，以监控这些快速且短暂的实体，并侦测未授权存取和异常权限提升的征兆。这项关键性变革必然是由管理挑战的规模所驱动的。根据Cyber​​Ark于2025年4月发布的《2025年身份安全展望报告》，目前全球企业中平均每位员工拥有82个机器身份，因此，为了保护这一庞大的自动化生态系统，分析平台亟需进行根本性的变革。

同时，将生成式人工智慧应用于自动化策略优化，正在彻底改变组织应用最小权限原则的方式。如今，前沿解决方案利用大规模语言模型来解读复杂的权限数据，将技术存取日誌转化为自然语言洞察，并提案具体的策略变更建议。这项进步使安全团队能够从被动审核转向主动、自我纠正的管治，从而显着减轻手动角色设计带来的维运负担。这种整合的战略价值是可以量化的。根据 SailPoint 于 2025 年 9 月发布的《2025-2026 年身分安全展望》报告，与科技尚未成熟的竞争对手相比，拥有人工智慧身分安全解决方案的组织实施高阶功能（例如人工智慧代理的自主管治）的可能性高出四倍。

目录

第一章概述

第二章：调查方法

第三章执行摘要

第四章：客户心声

第五章：全球人工智慧身分分析解决方案市场展望

  • 市场规模及预测
    • 按金额
  • 市占率及预测
    • 按类型（本地部署、云端部署）
    • 依使用情况（大型公司、中小企业）
    • 按地区
    • 按公司（2025 年）
  • 市场地图

第六章：北美人工智慧身分分析解决方案市场展望

  • 市场规模及预测
  • 市占率及预测
  • 北美洲：国别分析
    • 我们
    • 加拿大
    • 墨西哥

第七章：欧洲人工智慧身分分析解决方案市场展望

  • 市场规模及预测
  • 市占率及预测
  • 欧洲：国别分析
    • 德国
    • 法国
    • 英国
    • 义大利
    • 西班牙

第八章：亚太地区人工智慧身分分析解决方案市场展望

  • 市场规模及预测
  • 市占率及预测
  • 亚太地区：国别分析
    • 中国
    • 印度
    • 日本
    • 韩国
    • 澳洲

第九章：中东和非洲人工智慧身分分析解决方案市场展望

  • 市场规模及预测
  • 市占率及预测
  • 中东与非洲：国别分析
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 南非

第十章：南美洲人工智慧身分分析解决方案市场展望

  • 市场规模及预测
  • 市占率及预测
  • 南美洲：国别分析
    • 巴西
    • 哥伦比亚
    • 阿根廷

第十一章 市场动态

  • 促进因素
  • 任务

第十二章 市场趋势与发展

  • 併购
  • 产品发布
  • 近期趋势

第十三章 全球人工智慧身分分析解决方案市场：SWOT分析

第十四章：波特五力分析

  • 产业竞争
  • 新进入者的潜力
  • 供应商的议价能力
  • 顾客权力
  • 替代品的威胁

第十五章 竞争格局

  • IBM Corporation
  • Microsoft Corporation
  • Oracle Corporation
  • Okta, Inc.
  • SailPoint Technologies, Inc.
  • RSA Security LLC
  • CyberArk Software Ltd
  • Quest Software Inc.

第十六章 策略建议

第十七章：关于研究公司及免责声明

简介目录
Product Code: 24717

The Global AI Identity Analytics Solution Market is projected to expand from USD 3.04 Billion in 2025 to USD 4.35 Billion by 2031, reflecting a compound annual growth rate of 6.15%. These solutions utilize sophisticated artificial intelligence and machine learning algorithms to persistently audit user behaviors, spot irregularities, and pinpoint unauthorized access attempts across enterprise networks. By creating baseline user profiles, these platforms automatically identify deviations that suggest compromised credentials or potential insider threats. Key factors fueling this growth include the rising incidence of complex identity-centric cyberattacks and strict regulatory frameworks demanding real-time privilege auditing. Additionally, the rapid adoption of cloud-native infrastructures and remote work models has intensified the necessity for automated governance to handle the resulting sprawl of identities.

Market Overview
Forecast Period2027-2031
Market Size 2025USD 3.04 Billion
Market Size 2031USD 4.35 Billion
CAGR 2026-20316.15%
Fastest Growing SegmentSmall and Medium-sized Enterprises (SMEs)
Largest MarketNorth America

According to the Identity Defined Security Alliance, 90 percent of organizations reported encountering at least one identity-related security incident in the twelve months leading up to 2024. Despite this urgent requirement for enhanced security, the market faces a significant hurdle regarding the technical intricacy of embedding these analytics tools within fragmented legacy systems. This integration challenge often leads to the formation of data silos, which obstruct the comprehensive visibility needed for effective deployment and limits the broader expansion of the market.

Market Driver

The rising frequency of identity-focused cyberattacks and data breaches acts as a major driver for the implementation of AI-powered identity analytics. As attackers increasingly utilize stolen credentials to circumvent conventional perimeter security, organizations face a mandatory shift toward advanced analytics that can differentiate between authorized user actions and malicious lateral movements. This necessity is highlighted by the challenges associated with manual detection; IBM's 'Cost of a Data Breach Report 2024' from July 2024 notes that breaches involving compromised credentials required an average of 292 days to identify and contain. Moreover, the importance of behavioral monitoring is heightened by insider errors, with Verizon's '2024 Data Breach Investigations Report' from May 2024 revealing that 68 percent of breaches involved non-malicious human factors, such as social engineering or configuration mistakes, which AI is well-equipped to spot.

Concurrently, the swift transition to hybrid and cloud IT environments has significantly broadened the attack surface, generating a complicated network of entitlements that manual governance methods cannot adequately secure. As businesses decentralize their infrastructure, the proliferation of human and machine identities creates fragmented visibility, making cloud environments attractive targets for sophisticated attacks. This trend has led to a sharp rise in campaigns targeting cloud assets; CrowdStrike's 'Global Threat Report 2024' from February 2024 indicates a 75 percent year-over-year increase in cloud environment intrusions. As a result, the Global AI Identity Analytics Solution Market is growing as enterprises look to automate the management of these diverse cloud ecosystems and enforce zero-trust policies effectively across dynamic infrastructures.

Market Challenge

The technical difficulties involved in embedding identity analytics into disjointed legacy infrastructures represent a major hurdle for market growth. Enterprises often face challenges in synchronizing modern analytics platforms with antiquated systems that lack standard compatibility. This disconnect leads to the creation of data silos where essential user activity logs remain segregated, preventing the analytics software from formulating the comprehensive baselines necessary for precise anomaly detection. When the solution cannot access a holistic view of the network, its operational utility declines, leading potential buyers to doubt the return on investment.

Furthermore, the substantial time and resources required to overcome these architectural disparities deter rapid adoption. Organizations frequently suspend or cancel procurement initiatives when confronted with protracted, costly integration processes that threaten to interrupt ongoing operations. According to the Identity Defined Security Alliance, in 2024, 37 percent of security professionals identified the complexity of their existing technology environments as a leading obstacle to the full implementation of identity security strategies. This deployment friction directly restricts the total addressable market, as companies often prioritize the stability of their current environments over the acquisition of advanced analytical capabilities.

Market Trends

The market is currently experiencing a significant surge in analytics focused on machine identities and non-human entities. As enterprises rapidly expand cloud-native architectures, the number of API keys, bots, and service accounts has skyrocketed, establishing an attack surface that exceeds the scope of traditional human-focused governance. In response, vendors are engineering specialized behavioral models designed to monitor these high-speed, ephemeral entities for signs of unauthorized access or anomalous privilege escalation. This critical evolution is necessitated by the scale of the management issue; according to CyberArk's '2025 Identity Security Landscape Report' from April 2025, there are now 82 machine identities for every human within organizations globally, requiring a fundamental transformation of analytics platforms to secure this extensive automated ecosystem.

At the same time, the incorporation of Generative AI for Automated Policy Optimization is revolutionizing how organizations apply least-privilege principles. Cutting-edge solutions now utilize large language models to interpret complex entitlement data, converting technical access logs into natural language insights and suggesting specific policy modifications. This advancement enables security teams to transition from reactive auditing to proactive, self-correcting governance, drastically cutting the operational burden linked to manual role engineering. The strategic value of this integration is quantifiable; SailPoint's 'Horizons of Identity Security 2025-2026' report from September 2025 notes that organizations utilizing AI-enabled identity security are four times more likely to implement advanced capabilities, such as autonomous governance for AI agents, than their less mature peers.

Key Market Players

  • IBM Corporation
  • Microsoft Corporation
  • Oracle Corporation
  • Okta, Inc.
  • SailPoint Technologies, Inc.
  • RSA Security LLC
  • CyberArk Software Ltd
  • Quest Software Inc.

Report Scope

In this report, the Global AI Identity Analytics Solution Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

AI Identity Analytics Solution Market, By Type

  • On-premises
  • Cloud-based

AI Identity Analytics Solution Market, By Application

  • Large Enterprises
  • Small
  • Medium-sized Enterprises (SMEs)

AI Identity Analytics Solution Market, By Region

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • France
    • United Kingdom
    • Italy
    • Germany
    • Spain
  • Asia Pacific
    • China
    • India
    • Japan
    • Australia
    • South Korea
  • South America
    • Brazil
    • Argentina
    • Colombia
  • Middle East & Africa
    • South Africa
    • Saudi Arabia
    • UAE

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global AI Identity Analytics Solution Market.

Available Customizations:

Global AI Identity Analytics Solution Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

  • Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Product Overview

  • 1.1. Market Definition
  • 1.2. Scope of the Market
    • 1.2.1. Markets Covered
    • 1.2.2. Years Considered for Study
    • 1.2.3. Key Market Segmentations

2. Research Methodology

  • 2.1. Objective of the Study
  • 2.2. Baseline Methodology
  • 2.3. Key Industry Partners
  • 2.4. Major Association and Secondary Sources
  • 2.5. Forecasting Methodology
  • 2.6. Data Triangulation & Validation
  • 2.7. Assumptions and Limitations

3. Executive Summary

  • 3.1. Overview of the Market
  • 3.2. Overview of Key Market Segmentations
  • 3.3. Overview of Key Market Players
  • 3.4. Overview of Key Regions/Countries
  • 3.5. Overview of Market Drivers, Challenges, Trends

4. Voice of Customer

5. Global AI Identity Analytics Solution Market Outlook

  • 5.1. Market Size & Forecast
    • 5.1.1. By Value
  • 5.2. Market Share & Forecast
    • 5.2.1. By Type (On-premises, Cloud-based)
    • 5.2.2. By Application (Large Enterprises, Small, Medium-sized Enterprises (SMEs))
    • 5.2.3. By Region
    • 5.2.4. By Company (2025)
  • 5.3. Market Map

6. North America AI Identity Analytics Solution Market Outlook

  • 6.1. Market Size & Forecast
    • 6.1.1. By Value
  • 6.2. Market Share & Forecast
    • 6.2.1. By Type
    • 6.2.2. By Application
    • 6.2.3. By Country
  • 6.3. North America: Country Analysis
    • 6.3.1. United States AI Identity Analytics Solution Market Outlook
      • 6.3.1.1. Market Size & Forecast
        • 6.3.1.1.1. By Value
      • 6.3.1.2. Market Share & Forecast
        • 6.3.1.2.1. By Type
        • 6.3.1.2.2. By Application
    • 6.3.2. Canada AI Identity Analytics Solution Market Outlook
      • 6.3.2.1. Market Size & Forecast
        • 6.3.2.1.1. By Value
      • 6.3.2.2. Market Share & Forecast
        • 6.3.2.2.1. By Type
        • 6.3.2.2.2. By Application
    • 6.3.3. Mexico AI Identity Analytics Solution Market Outlook
      • 6.3.3.1. Market Size & Forecast
        • 6.3.3.1.1. By Value
      • 6.3.3.2. Market Share & Forecast
        • 6.3.3.2.1. By Type
        • 6.3.3.2.2. By Application

7. Europe AI Identity Analytics Solution Market Outlook

  • 7.1. Market Size & Forecast
    • 7.1.1. By Value
  • 7.2. Market Share & Forecast
    • 7.2.1. By Type
    • 7.2.2. By Application
    • 7.2.3. By Country
  • 7.3. Europe: Country Analysis
    • 7.3.1. Germany AI Identity Analytics Solution Market Outlook
      • 7.3.1.1. Market Size & Forecast
        • 7.3.1.1.1. By Value
      • 7.3.1.2. Market Share & Forecast
        • 7.3.1.2.1. By Type
        • 7.3.1.2.2. By Application
    • 7.3.2. France AI Identity Analytics Solution Market Outlook
      • 7.3.2.1. Market Size & Forecast
        • 7.3.2.1.1. By Value
      • 7.3.2.2. Market Share & Forecast
        • 7.3.2.2.1. By Type
        • 7.3.2.2.2. By Application
    • 7.3.3. United Kingdom AI Identity Analytics Solution Market Outlook
      • 7.3.3.1. Market Size & Forecast
        • 7.3.3.1.1. By Value
      • 7.3.3.2. Market Share & Forecast
        • 7.3.3.2.1. By Type
        • 7.3.3.2.2. By Application
    • 7.3.4. Italy AI Identity Analytics Solution Market Outlook
      • 7.3.4.1. Market Size & Forecast
        • 7.3.4.1.1. By Value
      • 7.3.4.2. Market Share & Forecast
        • 7.3.4.2.1. By Type
        • 7.3.4.2.2. By Application
    • 7.3.5. Spain AI Identity Analytics Solution Market Outlook
      • 7.3.5.1. Market Size & Forecast
        • 7.3.5.1.1. By Value
      • 7.3.5.2. Market Share & Forecast
        • 7.3.5.2.1. By Type
        • 7.3.5.2.2. By Application

8. Asia Pacific AI Identity Analytics Solution Market Outlook

  • 8.1. Market Size & Forecast
    • 8.1.1. By Value
  • 8.2. Market Share & Forecast
    • 8.2.1. By Type
    • 8.2.2. By Application
    • 8.2.3. By Country
  • 8.3. Asia Pacific: Country Analysis
    • 8.3.1. China AI Identity Analytics Solution Market Outlook
      • 8.3.1.1. Market Size & Forecast
        • 8.3.1.1.1. By Value
      • 8.3.1.2. Market Share & Forecast
        • 8.3.1.2.1. By Type
        • 8.3.1.2.2. By Application
    • 8.3.2. India AI Identity Analytics Solution Market Outlook
      • 8.3.2.1. Market Size & Forecast
        • 8.3.2.1.1. By Value
      • 8.3.2.2. Market Share & Forecast
        • 8.3.2.2.1. By Type
        • 8.3.2.2.2. By Application
    • 8.3.3. Japan AI Identity Analytics Solution Market Outlook
      • 8.3.3.1. Market Size & Forecast
        • 8.3.3.1.1. By Value
      • 8.3.3.2. Market Share & Forecast
        • 8.3.3.2.1. By Type
        • 8.3.3.2.2. By Application
    • 8.3.4. South Korea AI Identity Analytics Solution Market Outlook
      • 8.3.4.1. Market Size & Forecast
        • 8.3.4.1.1. By Value
      • 8.3.4.2. Market Share & Forecast
        • 8.3.4.2.1. By Type
        • 8.3.4.2.2. By Application
    • 8.3.5. Australia AI Identity Analytics Solution Market Outlook
      • 8.3.5.1. Market Size & Forecast
        • 8.3.5.1.1. By Value
      • 8.3.5.2. Market Share & Forecast
        • 8.3.5.2.1. By Type
        • 8.3.5.2.2. By Application

9. Middle East & Africa AI Identity Analytics Solution Market Outlook

  • 9.1. Market Size & Forecast
    • 9.1.1. By Value
  • 9.2. Market Share & Forecast
    • 9.2.1. By Type
    • 9.2.2. By Application
    • 9.2.3. By Country
  • 9.3. Middle East & Africa: Country Analysis
    • 9.3.1. Saudi Arabia AI Identity Analytics Solution Market Outlook
      • 9.3.1.1. Market Size & Forecast
        • 9.3.1.1.1. By Value
      • 9.3.1.2. Market Share & Forecast
        • 9.3.1.2.1. By Type
        • 9.3.1.2.2. By Application
    • 9.3.2. UAE AI Identity Analytics Solution Market Outlook
      • 9.3.2.1. Market Size & Forecast
        • 9.3.2.1.1. By Value
      • 9.3.2.2. Market Share & Forecast
        • 9.3.2.2.1. By Type
        • 9.3.2.2.2. By Application
    • 9.3.3. South Africa AI Identity Analytics Solution Market Outlook
      • 9.3.3.1. Market Size & Forecast
        • 9.3.3.1.1. By Value
      • 9.3.3.2. Market Share & Forecast
        • 9.3.3.2.1. By Type
        • 9.3.3.2.2. By Application

10. South America AI Identity Analytics Solution Market Outlook

  • 10.1. Market Size & Forecast
    • 10.1.1. By Value
  • 10.2. Market Share & Forecast
    • 10.2.1. By Type
    • 10.2.2. By Application
    • 10.2.3. By Country
  • 10.3. South America: Country Analysis
    • 10.3.1. Brazil AI Identity Analytics Solution Market Outlook
      • 10.3.1.1. Market Size & Forecast
        • 10.3.1.1.1. By Value
      • 10.3.1.2. Market Share & Forecast
        • 10.3.1.2.1. By Type
        • 10.3.1.2.2. By Application
    • 10.3.2. Colombia AI Identity Analytics Solution Market Outlook
      • 10.3.2.1. Market Size & Forecast
        • 10.3.2.1.1. By Value
      • 10.3.2.2. Market Share & Forecast
        • 10.3.2.2.1. By Type
        • 10.3.2.2.2. By Application
    • 10.3.3. Argentina AI Identity Analytics Solution Market Outlook
      • 10.3.3.1. Market Size & Forecast
        • 10.3.3.1.1. By Value
      • 10.3.3.2. Market Share & Forecast
        • 10.3.3.2.1. By Type
        • 10.3.3.2.2. By Application

11. Market Dynamics

  • 11.1. Drivers
  • 11.2. Challenges

12. Market Trends & Developments

  • 12.1. Merger & Acquisition (If Any)
  • 12.2. Product Launches (If Any)
  • 12.3. Recent Developments

13. Global AI Identity Analytics Solution Market: SWOT Analysis

14. Porter's Five Forces Analysis

  • 14.1. Competition in the Industry
  • 14.2. Potential of New Entrants
  • 14.3. Power of Suppliers
  • 14.4. Power of Customers
  • 14.5. Threat of Substitute Products

15. Competitive Landscape

  • 15.1. IBM Corporation
    • 15.1.1. Business Overview
    • 15.1.2. Products & Services
    • 15.1.3. Recent Developments
    • 15.1.4. Key Personnel
    • 15.1.5. SWOT Analysis
  • 15.2. Microsoft Corporation
  • 15.3. Oracle Corporation
  • 15.4. Okta, Inc.
  • 15.5. SailPoint Technologies, Inc.
  • 15.6. RSA Security LLC
  • 15.7. CyberArk Software Ltd
  • 15.8. Quest Software Inc.

16. Strategic Recommendations

17. About Us & Disclaimer