人工智慧模型風險管理市場規模、佔有率、成長分析（按組件、部署模型、風險、應用和地區）—2025 年至 2032 年產業預測

全球人工智慧模型風險管理市場預計將在 2023 年達到 57 億美元，從 2024 年的 64.5 億美元成長到 2032 年的 172.6 億美元，在預測期內（2025-2032 年）的複合年成長率為 13.1%。

由於金融、航空、醫療、汽車和製造等關鍵領域對人工智慧整合的需求不斷成長，全球人工智慧模型風險管理市場正在不斷擴大。企業在決策和風險管理方面對人工智慧的依賴日益增加，凸顯了對合規、可信和透明的模型營運的需求。加強的監管指導強調課責、可解釋性和公平性，促使企業投資於管治和檢驗技術。備受矚目的模型偏差和資料外洩案例推動了對全面風險管理框架的需求，以有效識別、評估和降低人工智慧風險。此外，可解釋人工智慧、監管技術的接受度以及合規要求的不斷提高，正在推動企業對綜合風險管理解決方案的需求，以提高營運效率並增強對人工智慧結果的信任。

目錄

介紹

• 調查目標
• 調查範圍
• 定義

調查方法

• 資訊收集
• 二次資料和一次資料方法
• 市場規模預測
• 市場假設與約束

執行摘要

• 全球市場展望
• 供需趨勢分析
• 細分市場機會分析

市場動態與展望

• 市場概況
• 市場規模
• 市場動態
  • 促進因素和機遇
  • 限制與挑戰
• 波特的分析

關鍵市場考察

• 關鍵成功因素
• 競爭程度
• 關鍵投資機會
• 市場生態系統
• 市場吸引力指數（2024年）
• PESTEL分析
• 總體經濟指標
• 價值鏈分析
• 定價分析

人工智慧模型風險管理市場規模（按組件和複合年成長率）（2025-2032）

• 市場概況
• 軟體
• 服務
  • 專業的
  • 管理

人工智慧模型風險管理市場規模（按部署模型和複合年成長率）（2025-2032）

• 市場概況
• 本地部署
• 雲

人工智慧模型風險管理市場規模（按風險類型和複合年成長率）（2025-2032）

• 市場概況
• 模型風險
• 操作風險
• 合規風險
• 聲譽風險
• 策略風險

人工智慧模型風險管理市場規模（按應用和複合年成長率）（2025-2032）

• 市場概況
• 信用風險管理
• 詐欺檢測與預防
• 演算法交易
• 預測性維護
• 其他

人工智慧模型風險管理市場規模（按最終用途和複合年成長率）（2025-2032）

• 市場概況
• BFSI
• 資訊科技/通訊
• 衛生保健
• 車
• 零售與電子商務
• 製造業
• 政府和國防
• 其他

人工智慧模型風險管理市場規模及複合年成長率（2025-2032）

• 北美洲
  • 美國
  • 加拿大
• 歐洲
  • 德國
  • 西班牙
  • 法國
  • 英國
  • 義大利
  • 其他歐洲地區
• 亞太地區
  • 中國
  • 印度
  • 日本
  • 韓國
  • 其他亞太地區
• 拉丁美洲
  • 巴西
  • 其他拉丁美洲地區
• 中東和非洲
  • 海灣合作理事會國家
  • 南非
  • 其他中東和非洲地區

競爭資訊

• 前五大公司對比
• 主要企業市場定位（2024年）
• 主要市場參與者所採取的策略
• 近期市場趨勢
• 公司市佔率分析（2024年）
• 主要企業簡介
  • 公司詳情
  • 產品系列分析
  • 按部門分類的公司佔有率分析
  • 收益同比比較（2022-2024 年）

主要企業簡介

• Microsoft
• IBM
• SAS
• Google
• AWS
• FICO
• H2O.ai
• Credo AI
• Holistic AI
• ValidMind
• OneTrust
• Fiddler AI
• Datatron
• Fairly AI
• Deloitte
• KPMG
• Moody's
• Accenture
• Pega
• Databricks

結論和建議

Global AI Model Risk Management Market size was valued at USD 5.7 billion in 2023 and is poised to grow from USD 6.45 billion in 2024 to USD 17.26 billion by 2032, growing at a CAGR of 13.1% during the forecast period (2025-2032).

The global AI model risk management market is expanding as the demand for AI integration in essential sectors like finance, aviation, healthcare, automotive, and manufacturing continues to rise. Companies increasingly rely on AI for decision-making and risk management, highlighting the need for compliant, reliable, and transparent model operations. Enhanced regulatory guidance emphasizes accountability, explainability, and fairness, prompting businesses to invest in governance and validation technologies. The escalation of notable instances of model biases and data breaches has intensified the need for comprehensive risk management frameworks to effectively identify, assess, and mitigate AI risks. Furthermore, the acceptance of explainable AI, regulatory technology, and expanding compliance demands drives organizations to seek integrated risk management solutions that enhance operational efficiency and foster trust in AI outcomes.

Top-down and bottom-up approaches were used to estimate and validate the size of the Global AI Model Risk Management market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.

Global AI Model Risk Management Market Segments Analysis

Global AI Model Risk Management Market is segmented by Component, Deployment Model, Risk, Application, End Use and region. Based on Component, the market is segmented into Software and Services. Based on Deployment Model, the market is segmented into On-premises and Cloud. Based on Risk, the market is segmented into Model risk, Operational risk, Compliance risk, Reputational risk and Strategic risk. Based on Application, the market is segmented into Credit risk management, Fraud detection and prevention, Algorithmic trading, Predictive maintenance and Others. Based on End Use, the market is segmented into BFSI, IT & telecom, Healthcare, Automotive, Retail and e-commerce, Manufacturing, Government and defense and Others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.

Driver of the Global AI Model Risk Management Market

The growing reliance on artificial intelligence within business operations is giving rise to significant risks associated with model failures, biases, and cybersecurity threats. Companies are increasingly aware that these operational vulnerabilities can heighten their overall risk, prompting them to invest in scalable and automated risk management solutions. These tools are designed to efficiently monitor, validate, and secure AI implementations, enabling organizations to mitigate potential disruptions and safeguard their reputation. As a result, there is a strong push towards enhancing risk management capabilities to ensure AI technologies are deployed safely and effectively, ultimately supporting robust business continuity.

Restraints in the Global AI Model Risk Management Market

A significant constraint in the Global AI Model Risk Management market is the high cost associated with implementation, especially for small and medium-sized enterprises. Many organizations find the expenses related to technology integration, ongoing monitoring, compliance requirements, and associated labor to be prohibitive. As a result, these financial barriers can restrict the ability of numerous companies to adopt and effectively utilize advanced AI model risk management systems. This economic challenge can ultimately hinder the overall growth and accessibility of sophisticated risk management solutions in the market, limiting participation to a smaller group of organizations with more substantial resources.

Market Trends of the Global AI Model Risk Management Market

The Global AI Model Risk Management market is increasingly emphasizing the integration of explainable and responsible AI principles. Companies are actively seeking solutions that enhance transparency, auditability, and interpretability of AI systems, reflecting a broader demand for ethical governance frameworks. This trend is fueled by growing regulatory pressures and the necessity to foster stakeholder trust while addressing biases and unintended consequences that may arise from automated systems. By prioritizing responsible AI practices, organizations aim to ensure compliance, minimize risk, and enhance the overall reliability of their AI models, ultimately leading to more sustainable and socially acceptable AI deployment strategies.

Table of Contents

Introduction

• Objectives of the Study
• Scope of the Report
• Definitions

Research Methodology

• Information Procurement
• Secondary & Primary Data Methods
• Market Size Estimation
• Market Assumptions & Limitations

Executive Summary

• Global Market Outlook
• Supply & Demand Trend Analysis
• Segmental Opportunity Analysis

Market Dynamics & Outlook

• Market Overview
• Market Size
• Market Dynamics
  • Drivers & Opportunities
  • Restraints & Challenges
• Porters Analysis
  • Competitive rivalry
  • Threat of substitute
  • Bargaining power of buyers
  • Threat of new entrants
  • Bargaining power of suppliers

Key Market Insights

• Key Success Factors
• Degree of Competition
• Top Investment Pockets
• Market Ecosystem
• Market Attractiveness Index, 2024
• PESTEL Analysis
• Macro-Economic Indicators
• Value Chain Analysis
• Pricing Analysis

Global AI Model Risk Management Market Size by Component & CAGR (2025-2032)

• Market Overview
• Software
• Services
  • Professional
  • Managed

Global AI Model Risk Management Market Size by Deployment Model & CAGR (2025-2032)

• Market Overview
• On-premises
• Cloud

Global AI Model Risk Management Market Size by Risk & CAGR (2025-2032)

• Market Overview
• Model risk
• Operational risk
• Compliance risk
• Reputational risk
• Strategic risk

Global AI Model Risk Management Market Size by Application & CAGR (2025-2032)

• Market Overview
• Credit risk management
• Fraud detection and prevention
• Algorithmic trading
• Predictive maintenance
• Others

Global AI Model Risk Management Market Size by End Use & CAGR (2025-2032)

• Market Overview
• BFSI
• IT & telecom
• Healthcare
• Automotive
• Retail and e-commerce
• Manufacturing
• Government and defense
• Others

Global AI Model Risk Management Market Size & CAGR (2025-2032)

• North America (Component, Deployment Model, Risk, Application, End Use)
  • US
  • Canada
• Europe (Component, Deployment Model, Risk, Application, End Use)
  • Germany
  • Spain
  • France
  • UK
  • Italy
  • Rest of Europe
• Asia Pacific (Component, Deployment Model, Risk, Application, End Use)
  • China
  • India
  • Japan
  • South Korea
  • Rest of Asia-Pacific
• Latin America (Component, Deployment Model, Risk, Application, End Use)
  • Brazil
  • Rest of Latin America
• Middle East & Africa (Component, Deployment Model, Risk, Application, End Use)
  • GCC Countries
  • South Africa
  • Rest of Middle East & Africa

Competitive Intelligence

• Top 5 Player Comparison
• Market Positioning of Key Players, 2024
• Strategies Adopted by Key Market Players
• Recent Developments in the Market
• Company Market Share Analysis, 2024
• Company Profiles of All Key Players
  • Company Details
  • Product Portfolio Analysis
  • Company's Segmental Share Analysis
  • Revenue Y-O-Y Comparison (2022-2024)

Key Company Profiles

• Microsoft
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• IBM
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• SAS
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Google
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• AWS
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• FICO
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• H2O.ai
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Credo AI
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Holistic AI
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• ValidMind
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• OneTrust
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Fiddler AI
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Datatron
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Fairly AI
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Deloitte
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• KPMG
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Moody's
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Accenture
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Pega
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Databricks
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments

Conclusion & Recommendations