首頁 > 市場調查報告書 > 通訊

人工智能

人工智慧模型風險管理市場規模、佔有率和成長分析（按組件、部署模型、風險、應用、最終用途和地區分類）—2026-2033年產業預測

市場調查報告書

商品編碼

1914090

人工智慧模型風險管理市場規模、佔有率和成長分析（按組件、部署模型、風險、應用、最終用途和地區分類）—2026-2033年產業預測

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個工作天內

價格

簡介目錄

全球人工智慧模型風險管理市場規模預計在 2024 年達到 64.5 億美元，從 2025 年的 72.9 億美元成長到 2033 年的 195.2 億美元，在預測期（2026-2033 年）內複合年成長率為 13.1%。

全球人工智慧模型風險管理市場正經歷顯著成長，這主要得益於金融、航空、醫療保健、汽車和製造等關鍵產業對人工智慧解決方案日益成長的需求。隨著人工智慧逐漸融入企業決策和風險管理，對合規、可靠和透明的模型運作的需求也迅速增加。監管機構對課責、可解釋性和公平性的審查日益嚴格，促使企業投資於能夠加強模型管治和檢驗的技術和服務。模型偏差、資料外洩和網路風險的日益增加凸顯了建立一個能夠識別、評估、監控和緩解人工智慧相關風險的強大風險管理框架的必要性。此外，可解釋人工智慧和監管科技（RegTech）的日益普及，以及對自動化合規解決方案的需求，正在推動對能夠提升人工智慧成果效率和可靠性的整合風險管理夥伴關係關係的需求。

全球人工智慧模型風險管理市場促進因素

企業營運對人工智慧的日益依賴帶來了許多風險，包括模型誤差、偏見和網路威脅。各組織機構越來越意識到，這些營運漏洞會對其整體績效構成嚴重威脅。為此，他們正優先投資擴充性的自動化風險管理解決方案，以有效監控、檢驗和保護人工智慧系統。這種積極主動的方法不僅可以降低對業務永續營運的潛在干擾，還能透過確保更可靠、更安全的人工智慧部署來維護組織的聲譽。

全球人工智慧模型風險管理市場限制因素

實施先進的人工智慧模型風險管理的高昂成本是一大障礙，尤其對於中小企業而言更是如此。這些成本涵蓋技術整合、持續監控、合規性以及人員配備等諸多面向。對許多公司而言，實施此類先進系統的財務負擔可能成為阻礙，最終限制其利用先進人工智慧模型風險管理解決方案的能力。因此，能夠部署有效管理人工智慧相關風險所需技術和系統的企業數量將會減少，這可能會阻礙市場的整體成長和發展。

全球人工智慧模型風險管理市場趨勢

全球人工智慧模型風險管理市場正加速向可解釋和負責任的人工智慧實踐轉型。各組織機構優先考慮能夠提高人工智慧決策透明度、審核和可解釋性的解決方案，從而在複雜的監管環境下建立利益相關人員的信任。這一趨勢的驅動力源於迫切需要解決自動化系統產生的偏見、減輕意外後果並確保人工智慧技術的合乎倫理的使用。隨著企業尋求使其營運與管治的治理框架保持一致，對強大的人工智慧模型風險管理工具的需求持續成長，這反映出企業致力於合乎倫理地採用人工智慧並課責。

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
- 亞太其他地區
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
主要企業的市場定位（2025 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（2025 年）
主要企業公司簡介
- 公司詳情
- 產品系列分析
- 依業務板塊進行公司股票分析
- 2023-2025年營收年比比較

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

結論與建議

簡介目錄

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