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人工智能

人工智慧模型风险管理市场规模、份额和成长分析（按组件、部署模型、风险、应用、最终用途和地区划分）—2026-2033年产业预测

市场调查报告书

商品编码

1914090

人工智慧模型风险管理市场规模、份额和成长分析（按组件、部署模型、风险、应用、最终用途和地区划分）—2026-2033年产业预测

AI Model Risk Management Market Size, Share, and Growth Analysis, By Component (Software, Services), By Deployment Model (On-premises, Cloud), By Risk, By Application, By End Use, By Region - Industry Forecast 2026-2033

出版日期: 2025年12月31日 | 出版商:

SkyQuest | 英文 178 Pages | 商品交期: 3-5个工作天内

价格

简介目录

全球人工智慧模型风险管理市场规模预计在 2024 年达到 64.5 亿美元，从 2025 年的 72.9 亿美元成长到 2033 年的 195.2 亿美元，在预测期（2026-2033 年）内复合年增长率为 13.1%。

全球人工智慧模型风险管理市场正经历显着成长，这主要得益于金融、航空、医疗保健、汽车和製造等关键产业对人工智慧解决方案日益增长的需求。随着人工智慧逐渐融入企业决策和风险管理，对合规、可靠和透明的模型运作的需求也迅速增加。监管机构对课责、可解释性和公平性的审查日益严格，促使企业投资于能够加强模型管治和检验的技术和服务。模型偏差、资料外洩和网路风险的日益增加凸显了建立一个能够识别、评估、监控和缓解人工智慧相关风险的强大风险管理框架的必要性。此外，可解释人工智慧和监管科技（RegTech）的日益普及，以及对自动化合规解决方案的需求，正在推动对能够提升人工智慧成果效率和可靠性的整合风险管理伙伴关係关係的需求。

全球人工智慧模型风险管理市场驱动因素

企业营运对人工智慧的日益依赖带来了许多风险，包括模型误差、偏见和网路威胁。各组织机构越来越意识到，这些营运漏洞会对其整体绩效构成严重威胁。为此，他们正优先投资扩充性的自动化风险管理解决方案，以有效监控、检验和保护人工智慧系统。这种积极主动的方法不仅可以降低对业务永续营运的潜在干扰，还能透过确保更可靠、更安全的人工智慧部署来维护组织的声誉。

全球人工智慧模型风险管理市场限制因素

实施先进的人工智慧模型风险管理的高昂成本是一大障碍，尤其对于中小企业而言更是如此。这些成本涵盖技术整合、持续监控、合规性以及人员配备等诸多面向。对许多公司而言，实施此类先进系统的财务负担可能成为阻碍，最终限制其利用先进人工智慧模型风险管理解决方案的能力。因此，能够部署有效管理人工智慧相关风险所需技术和系统的企业数量将会减少，这可能会阻碍市场的整体成长和发展。

全球人工智慧模型风险管理市场趋势

全球人工智慧模型风险管理市场正加速向可解释和负责任的人工智慧实践转型。各组织机构优先考虑能够提高人工智慧决策透明度、审核和可解释性的解决方案，从而在复杂的监管环境下建立利益相关人员的信任。这一趋势的驱动力源于迫切需要解决自动化系统产生的偏见、减轻意外后果并确保人工智慧技术的合乎伦理的使用。随着企业寻求使其营运与管治的治理框架保持一致，对强大的人工智慧模型风险管理工具的需求持续增长，这反映出企业致力于合乎伦理地采用人工智慧并课责。

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
- 亚太其他地区
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
主要企业的市场定位（2025 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（2025 年）
主要企业公司简介
- 公司详情
- 产品系列分析
- 依业务板块进行公司股票分析
- 2023-2025年营收年比比较

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

结论与建议

简介目录

Product Code: SQMIG45B2239

Global AI Model Risk Management Market size was valued at USD 6.45 Billion in 2024 and is poised to grow from USD 7.29 Billion in 2025 to USD 19.52 Billion by 2033, growing at a CAGR of 13.1% during the forecast period (2026-2033).

The global AI model risk management market is witnessing significant growth fueled by the rising demand for AI solutions across essential sectors like finance, aviation, healthcare, automotive, and manufacturing. As AI becomes integral to corporate decision-making and risk management, the need for compliant, reliable, and transparent model operations intensifies. Heightened regulatory scrutiny on accountability, explainability, and fairness is prompting companies to invest in technologies and services that enhance model governance and validation. Increasing incidents of model bias, data breaches, and cyber risks underscore the necessity for a robust risk management framework capable of identifying, assessing, monitoring, and mitigating AI-related risks. Furthermore, the growing acceptance of explainable AI, regulatory technology, and the need for automated compliance solutions are driving demand for integrated risk management partnerships to enhance efficiency and 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 in business operations has led to significant risks associated with model inaccuracies, biases, and cyber threats. Organizations are becoming increasingly aware that these operational vulnerabilities pose a heightened risk to their overall performance. In response, they are prioritizing investments in scalable and automated risk management solutions aimed at effectively monitoring, validating, and safeguarding their AI systems. This proactive approach not only helps mitigate potential disruptions to business continuity but also protects the organization's reputation by ensuring more reliable and secure AI implementations.

Restraints in the Global AI Model Risk Management Market

The high implementation costs associated with advanced AI model risk management present a significant barrier for many organizations, especially those that are smaller or medium-sized. These costs encompass various aspects, including technology integration, ongoing monitoring, regulatory compliance, and workforce requirements. For many companies, the financial burden of adopting such sophisticated systems may be prohibitive, ultimately restricting their ability to leverage advanced AI model risk management solutions. Consequently, this limitation can hinder the overall growth and development of the market, as fewer organizations will be able to implement the necessary technologies and systems to effectively manage AI-related risks.

Market Trends of the Global AI Model Risk Management Market

The Global AI Model Risk Management market is increasingly shifting towards the adoption of explainable and responsible AI practices. Organizations are prioritizing solutions that enhance transparency, auditability, and interpretability of AI decisions, enabling them to navigate complex regulatory landscapes while building trust among stakeholders. This trend is fueled by the pressing need to address biases and mitigate unintended consequences arising from automated systems, ensuring ethical use of AI technologies. As businesses seek to align their operations with responsible governance frameworks, the demand for robust AI model risk management tools continues to grow, reflecting a commitment to ethical AI deployment and accountability.

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, 2025
PESTEL Analysis
Macro-Economic Indicators
Value Chain Analysis
Pricing Analysis

Global AI Model Risk Management Market Size by Component & CAGR (2026-2033)

Market Overview
Software
Services
- Professional
- Managed

Global AI Model Risk Management Market Size by Deployment Model & CAGR (2026-2033)

Market Overview
On-premises
Cloud

Global AI Model Risk Management Market Size by Risk & CAGR (2026-2033)

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

Global AI Model Risk Management Market Size by Application & CAGR (2026-2033)

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 (2026-2033)

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

Global AI Model Risk Management Market Size & CAGR (2026-2033)

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, 2025
Strategies Adopted by Key Market Players
Recent Developments in the Market
Company Market Share Analysis, 2025
Company Profiles of All Key Players
- Company Details
- Product Portfolio Analysis
- Company's Segmental Share Analysis
- Revenue Y-O-Y Comparison (2023-2025)

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