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1970805

人工智慧身分分析解決方案市場－全球產業規模、佔有率、趨勢、機會、預測：按類型、應用、地區和競爭對手分類，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個工作天內

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簡介目錄

全球人工智慧身分分析解決方案市場預計將從 2025 年的 30.4 億美元成長到 2031 年的 43.5 億美元，複合年成長率為 6.15%。

這些解決方案利用先進的人工智慧和機器學習演算法，能夠對使用者行為進行持續審核，檢測異常情況，並識別整個企業網路中未授權存取試驗。這些平台透過建立基準使用者設定文件，自動識別可能表明憑證外洩或潛在內部威脅的偏差。推動這一成長的關鍵因素包括日益增多的複雜身分中心型網路攻擊，以及要求進行即時特權審核的嚴格法規結構。此外，雲端原生基礎設施和遠距辦公模式的快速普及，也加劇了對自動化管治的需求，以因應由此產生的身份激增問題。

市場概覽
預測期 2027-2031
市場規模：2025年 30.4億美元
市場規模：2031年 43.5億美元
複合年成長率：2026-2031年 6.15%
成長最快的細分市場 中小企業
最大的市場 北美洲

根據身分定義安全聯盟 (IDSA) 的數據，90% 的組織報告稱，在截至 2024 年的 12 個月內，至少發生過一次與身分相關的安全事件。儘管安全增強迫在眉睫，但市場面臨一個重大障礙：將這些分析工具整合到分散的舊有系統中的技術複雜性。這種整合挑戰通常會導致資料孤島的形成，阻礙有效部署所需的全面可見性，並限制市場擴張。

市場促進因素

針對身分資訊的網路攻擊和資料外洩事件日益頻繁，是推動人工智慧驅動的身分分析技術普及的主要動力。隨著攻擊者擴大利用竊取的憑證繞過傳統的邊界安全防護，企業必須轉型採用能夠區分授權使用者行為和惡意橫向移動的高級分析技術。人工檢測的限制凸顯了這項需求。 IBM 於 2024 年 7 月發布的《2024 年資料外洩成本報告》顯示，識別和控制涉及憑證外洩的資料外洩事件平均需要 292 天。此外，內部人員的相關人員也使得行為監控的重要性日益凸顯；Verizon 於 2024 年 5 月發布的《2024 年資料外洩調查報告》顯示，68% 的資料外洩事件是由非惡意的人為因素造成的，例如社交工程和設定錯誤。人工智慧在檢測這些因素方面尤其有效。

同時，向混合雲和雲環境的快速轉型顯著擴大了攻擊面，形成了複雜的權限網路，而這些網路無法透過人工管治方法得到充分保護。隨著企業基礎設施的去中心化，人類和機器身分的激增導致可見性分散，使得雲端環境成為複雜攻擊的理想目標。這一趨勢導致針對雲端資產的攻擊宣傳活動激增。根據 CrowdStrike 於 2024 年 2 月發布的《2024 年全球威脅報告》，雲端環境入侵事件較去年同期成長了 75%。因此，在企業致力於自動化管理多樣化雲端生態系並有效實施跨動態基礎設施的零信任策略的推動下，全球人工智慧身分分析解決方案市場持續成長。

市場挑戰

市場成長的一大障礙在於將身分分析整合到分散的傳統基礎設施中存在技術難題。企業常常面臨將缺乏標準相容性的過時系統與現代分析平台同步的挑戰。這種脫節造成了資料孤島，關鍵使用者活動日誌被隔離，導致分析軟體無法建立準確異常檢測所需的全面基準。當解決方案無法存取整體情況時，其運作效用就會降低，潛在買家也會質疑其投資報酬率。

此外，克服這些架構差異所需的大量時間和資源阻礙了快速採用。面對漫長而高成本的整合流程，企業往往會中斷或取消採購計劃，因為這些流程可能會中斷正在進行的營運。根據身分定義安全聯盟 (IDSA) 的數據，到 2024 年，37% 的安全專業人員將意識到現有技術環境的複雜性是全面實施其身分安全策略的主要障礙。這種採用阻力直接限制了潛在市場規模，因為企業往往優先考慮當前環境的穩定性，而不是取得高階分析功能。

市場趨勢

目前，市場上針對機器身分和非人類實體的分析技術正顯著成長。隨著企業快速向雲端原生架構遷移，API金鑰、機器人和服務帳戶的數量激增，所產生的攻擊面已超越傳統人性化的管治能力。為了應對這項挑戰，供應商正在開發專門的行為模型，以監控這些快速且短暫的實體，並偵測未授權存取和異常權限提升的徵兆。這項關鍵性變革必然是由管理挑戰的規模所驅動的。根據Cyber​​Ark於2025年4月發布的《2025年身份安全展望報告》，目前全球企業中平均每位員工擁有82個機器身份，因此，為了保護這一龐大的自動化生態系統，分析平台亟需進行根本性的變革。

同時，將生成式人工智慧應用於自動化策略最佳化，正在徹底改變組織應用最小權限原則的方式。如今，前沿解決方案利用大規模語言模型來解讀複雜的權限數據，將技術存取日誌轉化為自然語言洞察，並提案具體的策略變更建議。這項進步使安全團隊能夠從被動審核轉向主動、自我糾正的管治，從而顯著減輕手動角色設計帶來的維運負擔。這種整合的戰略價值是可以量化的。根據 SailPoint 於 2025 年 9 月發布的《2025-2026 年身分安全展望》報告，與科技尚未成熟的競爭對手相比，擁有人工智慧身分安全解決方案的組織實施高階功能（例如人工智慧代理的自主管治）的可能性高出四倍。

目錄

第1章概述

第2章：調查方法

第3章執行摘要

第4章：客戶心聲

第5章：全球人工智慧身分分析解決方案市場展望

  • 市場規模及預測
    • 按金額
  • 市佔率及預測
    • 按類型（本地部署、雲端部署）
    • 依使用情況（大型公司、中小企業）
    • 按地區
    • 按公司（2025 年）
  • 市場地圖

第6章：北美人工智慧身分分析解決方案市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 北美洲：國別分析
    • 美國
    • 加拿大
    • 墨西哥

第7章：歐洲人工智慧身分分析解決方案市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 歐洲：國別分析
    • 德國
    • 法國
    • 英國
    • 義大利
    • 西班牙

第8章：亞太地區人工智慧身分分析解決方案市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 亞太地區：國別分析
    • 中國
    • 印度
    • 日本
    • 韓國
    • 澳洲

第9章：中東和非洲人工智慧身分分析解決方案市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 中東與非洲：國別分析
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 南非

第10章：南美洲人工智慧身分分析解決方案市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 南美洲：國別分析
    • 巴西
    • 哥倫比亞
    • 阿根廷

第11章 市場動態

  • 促進因素
  • 任務

第12章 市場趨勢與發展

  • 併購
  • 產品發布
  • 近期趨勢

第13章 全球人工智慧身分分析解決方案市場：SWOT分析

第14章：波特五力分析

  • 產業競爭
  • 新進入者的潛力
  • 供應商的議價能力
  • 顧客權力
  • 替代品的威脅

第15章 競爭格局

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

第16章 策略建議

第17章：關於研究公司及免責聲明

簡介目錄
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