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市场调查报告书

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1621652

AI模型风险管理市场机会、成长动力、产业趋势分析及2024年至2032年预测

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个工作天内

价格

简介目录

2023 年，全球人工智慧模型风险管理市场估值为53 亿美元，预计2024 年至2032 年复合年增长率为11.1%。的人工智慧风险管理框架。随着监管机构针对人工智慧使用推出更严格的指导方针，企业必须采用自动监控和验证的解决方案，在确保遵守法规的同时降低不合规风险。人工智慧模型日益复杂是另一个重要的成长动力。随着组织部署先进的人工智慧技术，包括深度学习和整合方法，相关风险也随之增加。

确保这些模型保持透明、可解释和可靠需要全面的风险管理。透过利用先进的分析和自动监控，组织可以更好地了解和缓解人工智慧模型中的潜在问题，并支援更明智的决策。市场依组件分为软体和服务。 2023 年，软体领域占据了超过 70% 的市场份额，预计到 2032 年将超过 90 亿美元。

人工智慧驱动的软体透过自动识别和评估风险、提供即时见解以及简化人工智慧模型的验证来提高效率。依风险类型划分，人工智慧模型风险管理市场分为模型风险、操作风险、合规风险、声誉风险和策略风险。 2023年，模型风险领域约占市场的31%。人工智慧和机器学习模型日益复杂，增加了管理模型风险的需求。

市场范围
开始年份	2023年
预测年份	2024-2032
起始值	53亿美元
预测值	133 亿美元
复合年增长率	11.1%

随着组织在预测分析和决策等应用中采用复杂的演算法，偏差、过度拟合和效能问题的风险就会增加。这推动了对强大的模型风险管理实践的需求，以确保问责制和透明度。 2023 年，美国占据市场主导地位，占据全球75% 以上的市场份额，预计到2032 年将达到25 亿美元左右。更加严格的监管指导方针。监管重点的增加要求企业投资先进的人工智慧模型风险管理解决方案，以确保合规性并有效应对不断变化的监管环境

产业生态系统分析
- 软体供应商
- 服务提供者
- 技术提供者
- 最终用户
供应商格局
利润率分析
技术与创新格局
案例研究
重要新闻和倡议
监管环境
衝击力
- 成长动力
  - 越来越多地采用人工智慧技术
  - 向数据驱动决策的转变
  - 需要稳健的风险管理
  - 加强治理框架的需求不断增长
- 产业陷阱与挑战
  - 缺乏熟练的专业人员
  - 资料隐私和安全问题
成长潜力分析
波特的分析
PESTEL分析

第 4 章：竞争格局

介绍
公司市占率分析
竞争定位矩阵
战略展望矩阵

第 5 章：市场估计与预测：按组成部分，2021 - 2032 年

主要趋势
软体
服务
- 专业的
- 託管

第 6 章：市场估计与预测：按部署模型，2021 - 2032 年

主要趋势
本地
云

第 7 章：市场估计与预测：依风险划分，2021 - 2032 年

主要趋势
模型风险
操作风险
合规风险
声誉风险
策略风险

第 8 章：市场估计与预测：依应用分类，2021 - 2032

主要趋势
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

第 9 章：市场估计与预测：依最终用途，2021 - 2032 年

主要趋势
BFSI
资讯科技与电信
卫生保健
汽车
零售与电子商务
製造业
政府和国防
其他的

第 10 章：市场估计与预测：按地区，2021 - 2032

主要趋势
北美洲
- 我们
- 加拿大
欧洲
- 英国
- 德国
- 法国
- 西班牙
- 义大利
- 俄罗斯
- 北欧人
亚太地区
- 中国
- 印度
- 日本
- 韩国
- 澳新银行
- 东南亚
拉丁美洲
- 巴西
- 墨西哥
- 阿根廷
MEA
- 阿联酋
- 南非
- 沙乌地阿拉伯

第 11 章：公司简介

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

简介目录

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