人工智慧模型风险管理市场规模、份额、成长分析（按组件、部署模型、风险、应用和地区）—2025 年至 2032 年产业预测

全球人工智慧模型风险管理市场预计将在 2023 年达到 57 亿美元，从 2024 年的 64.5 亿美元成长到 2032 年的 172.6 亿美元，在预测期内（2025-2032 年）的复合年增长率为 13.1%。

由于金融、航空、医疗、汽车和製造等关键领域对人工智慧整合的需求不断增长，全球人工智慧模型风险管理市场正在不断扩大。企业在决策和风险管理方面对人工智慧的依赖日益增加，凸显了对合规、可信和透明的模型营运的需求。加强的监管指导强调课责、可解释性和公平性，促使企业投资于管治和检验技术。备受瞩目的模型偏差和资料外洩案例推动了对全面风险管理框架的需求，以有效识别、评估和降低人工智慧风险。此外，可解释人工智慧、监管技术的接受度以及合规要求的不断提高，正在推动企业对综合风险管理解决方案的需求，以提高营运效率并增强对人工智慧结果的信任。

目录

介绍

• 调查目标
• 调查范围
• 定义

调查方法

• 资讯收集
• 二次资料和一次资料方法
• 市场规模预测
• 市场假设与约束

执行摘要

• 全球市场展望
• 供需趋势分析
• 细分市场机会分析

市场动态与展望

• 市场概况
• 市场规模
• 市场动态
  • 驱动因素和机会
  • 限制与挑战
• 波特的分析

关键市场考察

• 关键成功因素
• 竞争程度
• 关键投资机会
• 市场生态系统
• 市场吸引力指数（2024年）
• PESTEL分析
• 总体经济指标
• 价值链分析
• 定价分析

人工智慧模型风险管理市场规模（按组件和复合年增长率）（2025-2032）

• 市场概况
• 软体
• 服务
  • 专业的
  • 管理

人工智慧模型风险管理市场规模（按部署模型和复合年增长率）（2025-2032）

• 市场概况
• 本地部署
• 云

人工智慧模型风险管理市场规模（按风险类型和复合年增长率）（2025-2032）

• 市场概况
• 模型风险
• 操作风险
• 合规风险
• 声誉风险
• 策略风险

人工智慧模型风险管理市场规模（按应用和复合年增长率）（2025-2032）

• 市场概况
• 信用风险管理
• 诈欺检测与预防
• 演算法交易
• 预测性维护
• 其他的

人工智慧模型风险管理市场规模（按最终用途和复合年增长率）（2025-2032）

• 市场概况
• BFSI
• 资讯科技/通讯
• 卫生保健
• 车
• 零售与电子商务
• 製造业
• 政府和国防
• 其他的

人工智慧模型风险管理市场规模及复合年增长率（2025-2032）

• 北美洲
  • 美国
  • 加拿大
• 欧洲
  • 德国
  • 西班牙
  • 法国
  • 英国
  • 义大利
  • 其他欧洲地区
• 亚太地区
  • 中国
  • 印度
  • 日本
  • 韩国
  • 其他亚太地区
• 拉丁美洲
  • 巴西
  • 其他拉丁美洲地区
• 中东和非洲
  • 海湾合作委员会国家
  • 南非
  • 其他中东和非洲地区

竞争资讯

• 前五大公司对比
• 主要企业市场定位（2024年）
• 主要市场参与者所采取的策略
• 近期市场趋势
• 公司市占率分析（2024年）
• 主要企业简介
  • 公司详情
  • 产品系列分析
  • 按部门分類的公司份额分析
  • 收益同比比较（2022-2024 年）

主要企业简介

• 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

结论和建议

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