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市場調查報告書

商品編碼

1621652

AI模型風險管理市場機會、成長動力、產業趨勢分析及2024年至2032年預測

AI Model Risk Management Market Opportunity, Growth Drivers, Industry Trend Analysis, and Forecast 2024 to 2032

出版日期: 2024年10月09日 | 出版商:

Global Market Insights Inc. | 英文 160 Pages | 商品交期: 2-3個工作天內

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簡介目錄

2023 年，全球人工智慧模型風險管理市場估值為53 億美元，預計2024 年至2032 年複合年成長率為11.1%。的人工智慧風險管理框架。隨著監管機構針對人工智慧使用推出更嚴格的指導方針，企業必須採用自動監控和驗證的解決方案，在確保遵守法規的同時降低不合規風險。人工智慧模型日益複雜是另一個重要的成長動力。隨著組織部署先進的人工智慧技術，包括深度學習和整合方法，相關風險也隨之增加。

確保這些模型保持透明、可解釋和可靠需要全面的風險管理。透過利用先進的分析和自動監控，組織可以更好地了解和緩解人工智慧模型中的潛在問題，並支援更明智的決策。市場依組件分為軟體和服務。 2023 年，軟體領域佔據了超過 70% 的市場佔有率，預計到 2032 年將超過 90 億美元。

人工智慧驅動的軟體透過自動識別和評估風險、提供即時見解以及簡化人工智慧模型的驗證來提高效率。依風險類型分類，人工智慧模型風險管理市場分為模型風險、操作風險、合規風險、聲譽風險和策略風險。 2023年，模型風險領域約佔市場的31%。人工智慧和機器學習模型日益複雜，增加了管理模型風險的需求。

市場範圍
開始年份	2023年
預測年份	2024-2032
起始值	53億美元
預測值	133 億美元
複合年成長率	11.1%

隨著組織在預測分析和決策等應用中採用複雜的演算法，偏差、過度擬合和效能問題的風險就會增加。這推動了對強大的模型風險管理實踐的需求，以確保問責制和透明度。 2023 年，美國佔據市場主導地位，佔據全球75% 以上的市場佔有率，預計到2032 年將達到25 億美元左右。更加嚴格的監管指導方針。監管重點的增加要求企業投資先進的人工智慧模型風險管理解決方案，以確保合規性並有效應對不斷變化的監管環境

產業生態系統分析
- 軟體供應商
- 服務提供者
- 技術提供者
- 最終用戶
供應商格局
利潤率分析
技術與創新格局
案例研究
重要新聞和舉措
監管環境
衝擊力
- 成長動力
  - 擴大採用人工智慧技術
  - 向數據驅動決策的轉變
  - 需要穩健的風險管理
  - 加強治理框架的需求不斷成長
- 產業陷阱與挑戰
  - 缺乏熟練的專業人員
  - 資料隱私和安全問題
成長潛力分析
波特的分析
PESTEL分析

第 4 章：競爭格局

介紹
公司市佔率分析
競爭定位矩陣
戰略展望矩陣

第 5 章：市場估計與預測：按組成部分，2021 - 2032 年

主要趨勢
軟體
服務
- 專業的
- 託管

第 6 章：市場估計與預測：按部署模型，2021 - 2032 年

主要趨勢
本地
雲

第 7 章：市場估計與預測：依風險分類，2021 - 2032 年

主要趨勢
模型風險
操作風險
合規風險
聲譽風險
策略風險

第 8 章：市場估計與預測：依應用分類，2021 - 2032

主要趨勢
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

第 9 章：市場估計與預測：依最終用途，2021 - 2032 年

主要趨勢
BFSI
資訊科技與電信
衛生保健
汽車
零售與電子商務
製造業
政府和國防
其他

第 10 章：市場估計與預測：按地區，2021 - 2032

主要趨勢
北美洲
- 美國
- 加拿大
歐洲
- 英國
- 德國
- 法國
- 西班牙
- 義大利
- 俄羅斯
- 北歐人
亞太地區
- 中國
- 印度
- 日本
- 韓國
- 澳新銀行
- 東南亞
拉丁美洲
- 巴西
- 墨西哥
- 阿根廷
MEA
- 阿拉伯聯合大公國
- 南非
- 沙烏地阿拉伯

第 11 章：公司簡介

Alteryx
Apparity
Axioma
Databricks
DataRobot
Empowered Systems
FICO
Friss
Google
IBM
Kx Systems
MathWorks
Microsoft
Quantiphi
RiskLens
SAS
TIBCO Software
ValidMind
Yields.io
Zest AI

簡介目錄

Product Code: 11833

The Global AI Model Risk Management Market was valued at USD 5.3 billion in 2023 and is projected to grow at a CAGR of 11.1% from 2024 to 2032. Market growth is driven by increasing regulatory compliance demands worldwide, compelling organizations to implement robust AI risk management frameworks. As regulatory bodies introduce more stringent guidelines regarding AI usage, businesses must adopt solutions that automate monitoring and validation, reducing non-compliance risks while ensuring adherence to regulations. The rising complexity of AI models is another significant growth driver. With organizations deploying advanced AI technologies, including deep learning and ensemble methods, the associated risks also increase.

Ensuring these models remain transparent, interpretable, and reliable requires comprehensive risk management. By utilizing advanced analytics and automated monitoring, organizations can better understand and mitigate potential issues in their AI models, supporting more informed decision-making. The market is segmented by component into software and services. In 2023, the software segment captured over 70% of the market share, expected to surpass USD 9 billion by 2032. The growth of this segment is fueled by the rising need for automation in risk assessment processes.

AI-powered software enhances efficiency by automating the identification and evaluation of risks, providing real-time insights, and streamlining the validation of AI models. By risk type, the AI model risk management market is categorized into model risk, operational risk, compliance risk, reputational risk, and strategic risk. In 2023, the model risk segment accounted for around 31% of the market. The increasing complexity of AI and machine learning models amplifies the need to manage model risk.

Market Scope
Start Year	2023
Forecast Year	2024-2032
Start Value	$5.3 Billion
Forecast Value	$13.3 Billion
CAGR	11.1%

As organizations adopt sophisticated algorithms for applications like predictive analytics and decision-making, the risk of biases, overfitting, and performance issues rises. This drives the need for robust model risk management practices to ensure accountability and transparency. The U.S. dominated the market in 2023, holding over 75% of the global market share, with projections to reach around USD 2.5 billion by 2032. As AI adoption expands across industries such as finance, healthcare, and insurance, regulatory bodies are imposing more stringent guidelines. This increased regulatory focus requires businesses to invest in advanced AI model risk management solutions to ensure compliance and effectively navigate the evolving regulatory landscape

Chapter 1 Methodology & Scope

1.1 Research design
- 1.1.1 Research approach
- 1.1.2 Data collection methods
1.2 Base estimates and calculations
- 1.2.1 Base year calculation
- 1.2.2 Key trends for market estimates
1.3 Forecast model
1.4 Primary research & validation
- 1.4.1 Primary sources
- 1.4.2 Data mining sources
1.5 Market definitions

Chapter 2 Executive Summary

2.1 Industry 360° synopsis, 2021 - 2032

Chapter 3 Industry Insights

3.1 Industry ecosystem analysis
- 3.1.1 Software providers
- 3.1.2 Service providers
- 3.1.3 Technology providers
- 3.1.4 End users
3.2 Supplier landscape
3.3 Profit margin analysis
3.4 Technology & innovation landscape
3.5 Case study
3.6 Key news & initiatives
3.7 Regulatory landscape
3.8 Impact forces
- 3.8.1 Growth drivers
  - 3.8.1.1 Increasing adoption of AI technologies
  - 3.8.1.2 The shift towards data-driven decision-making
  - 3.8.1.3 The need for robust risk management
  - 3.8.1.4 Growing demand for enhanced governance frameworks
- 3.8.2 Industry pitfalls & challenges
  - 3.8.2.1 Lack of skilled professionals
  - 3.8.2.2 Data privacy and security concerns
3.9 Growth potential analysis
3.10 Porter's analysis
3.11 PESTEL analysis

Chapter 4 Competitive Landscape, 2023

4.1 Introduction
4.2 Company market share analysis
4.3 Competitive positioning matrix
4.4 Strategic outlook matrix

Chapter 5 Market Estimates & Forecast, By Component, 2021 - 2032 ($Bn)

5.1 Key trends
5.2 Software
5.3 Services
- 5.3.1 Professional
- 5.3.2 Managed

Chapter 6 Market Estimates & Forecast, By Deployment Model, 2021 - 2032 ($Bn)

6.1 Key trends
6.2 On-premises
6.3 Cloud

Chapter 7 Market Estimates & Forecast, By Risk, 2021 - 2032 ($Bn)

7.1 Key trends
7.2 Model risk
7.3 Operational risk
7.4 Compliance risk
7.5 Reputational risk
7.6 Strategic risk

Chapter 8 Market Estimates & Forecast, By Application, 2021 - 2032 ($Bn)

8.1 Key trends
8.2 Credit risk management
8.3 Fraud detection and prevention
8.4 Algorithmic trading
8.5 Predictive maintenance
8.6 Others

Chapter 9 Market Estimates & Forecast, By End Use, 2021 - 2032 ($Bn)

9.1 Key trends
9.2 BFSI
9.3 IT & telecom
9.4 Healthcare
9.5 Automotive
9.6 Retail and e-commerce
9.7 Manufacturing
9.8 Government and defense
9.9 Others

Chapter 10 Market Estimates & Forecast, By Region, 2021 - 2032 ($Bn)

10.1 Key trends
10.2 North America
- 10.2.1 U.S.
- 10.2.2 Canada
10.3 Europe
- 10.3.1 UK
- 10.3.2 Germany
- 10.3.3 France
- 10.3.4 Spain
- 10.3.5 Italy
- 10.3.6 Russia
- 10.3.7 Nordics
10.4 Asia Pacific
- 10.4.1 China
- 10.4.2 India
- 10.4.3 Japan
- 10.4.4 South Korea
- 10.4.5 ANZ
- 10.4.6 Southeast Asia
10.5 Latin America
- 10.5.1 Brazil
- 10.5.2 Mexico
- 10.5.3 Argentina
10.6 MEA
- 10.6.1 UAE
- 10.6.2 South Africa
- 10.6.3 Saudi Arabia