风险管理人工智慧市场规模、份额、成长分析、按组件、按部署模型、按风险、按应用、按最终用途、按地区 - 行业预测，2025-2032 年

2023年，风险管理人工智慧的全球市场规模预计为53亿美元，预测期内（2025-2032年）复合年增长率为11.1%，从2024年的58.9亿美元增加到2032年的136亿美元。增长至7000 万美元。

人工智慧越来越多地被用于风险管理，因为它在创意生成、资料来源、模型开发和监控等应用中具有高度通用性。透过进行符合现有框架和价值观的评估，改善对组织特定的监管和声誉风险的识别。有效的风险管理取决于选择正确的资料，透过历史评估进行提炼，适合人工智慧处理。人工智慧有助于威胁分析、风险降低、诈欺侦测和资料分类，利用机器学习引擎分析大量资料集并产生即时预测模型以进行主动风险管理。然而，处理大量资料的高成本以及对资料隐私和保护的重大担忧可能会阻碍该行业的成长，而云端服务需要强大的安全措施。

目录

介绍

• 研究目的
• 调查范围
• 定义

调查方法

• 资讯采购
• 二手资料和主要资料方法
• 市场规模预测
• 市场假设与限制

执行摘要

• 全球市场展望
• 供需趋势分析
• 按细分市场的机会分析

市场动态及展望

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

主要市场考察

• 关键成功因素
• 竞争程度
• 主要投资机会
• 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
• 价格分析
• 技术分析
• 监管分析
• 案例研究分析
• 专利分析

风险管理人工智慧市场规模：按组成部分

• 市场概况
• 软体
• 服务
  • 专业的
  • 管理

风险管理人工智慧市场规模：按部署模型划分

• 市场概况
• 本地
• 云

风险管理人工智慧市场规模：按风险划分

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

风险管理人工智慧市场规模：按应用分类

• 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

风险管理人工智慧市场规模：依最终用途分类

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

风险管理的人工智慧市场规模

• 北美洲
  • 美国
  • 加拿大
• 欧洲
  • 德国
  • 西班牙
  • 法国
  • 英国
  • 义大利
  • 其他欧洲国家地区
• 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/非洲
  • 海湾合作委员会国家
  • 南非
  • 其他中东/非洲

竞争资讯

• 前5名企业对比
• 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
• 公司市场占有率分析（2024年）
• 主要企业简介
  • 公司简介
  • 产品系列分析
  • 按细分市场分類的份额分析
  • 收益与前一年同期比较（2022-2024）

主要企业简介

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

结论和建议

Global AI For Risk Management Market size was valued at USD 5.3 billion in 2023 and is poised to grow from USD 5.89 billion in 2024 to USD 13.67 billion by 2032, growing at a CAGR of 11.1% during the forecast period (2025-2032).

AI is increasingly being adopted for risk management due to its versatility in applications such as ideation, data sourcing, model development, and monitoring. It enhances the identification of regulatory and reputational risks unique to organizations by conducting assessments aligned with existing frameworks and values. Effective risk management depends on selecting the right data, which can be refined through previous assessments suitable for AI processing. AI facilitates threat analysis, risk reduction, fraud detection, and data classification, leveraging machine learning engines to analyze vast datasets and generate real-time predictive models for proactive risk management. However, the industry's growth may be hindered by high costs associated with processing large data volumes, alongside critical concerns surrounding data privacy and protection, necessitating robust security measures for cloud services.

Top-down and bottom-up approaches were used to estimate and validate the size of the Global Ai For 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 For Risk Management Market Segmental Analysis

Global AI For 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 For Risk Management Market

The Global AI for Risk Management market is significantly propelled by the increasing demand for efficient solutions that enhance market growth. A crucial component contributing to this is threat intelligence data, which offers insights into various attacker sources, indicators of compromise, and behavioral trends associated with cloud account usage and attacks on diverse cloud services. By utilizing machine learning, organizations can compile and analyze these threat intelligence feeds on a large scale. Furthermore, this data is refined to develop models focused on likelihood and predictability, enabling companies to better anticipate and mitigate risks effectively.

Restraints in the Global Ai For Risk Management Market

The Global AI for Risk Management market faces several significant restraints that could impede its growth. One of the primary challenges is the high level of privacy concerns associated with handling sensitive data. For startups and emerging companies, developing tailored AI solutions can be prohibitively expensive, even when utilizing cloud-native services, due to the substantial costs involved in processing large volumes of data. In addition to the financial burden, the pressing issues of data privacy and protection present formidable obstacles to the adoption of AI and machine intelligence technologies, which may deter investment and innovation in this sector.

Market Trends of the Global Ai For Risk Management Market

The Global AI for Risk Management market is undergoing a transformative trend characterized by the integration of blockchain technology, enhancing data security and transaction tracking. This secure framework enables organizations to efficiently monitor and manage risks, thereby improving overall risk governance. Concurrently, there is a heightened emphasis on ethical considerations in AI-driven risk management solutions, addressing concerns surrounding algorithmic bias and ensuring fairness. As businesses strive for transparency and accountability, the fusion of blockchain and ethical AI practices is positioning itself as a key driver for innovation and trust in the risk management landscape, fostering sustainable growth in this evolving market.

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
• Technology Analysis
• Regulatory Analysis
• Case Study Analysis
• Patent Analysis

Global AI For Risk Management Market Size by Component & CAGR (2025-2032)

• Market Overview
• Software
• Services
  • Professional
  • Managed

Global AI For Risk Management Market Size by Deployment Model & CAGR (2025-2032)

• Market Overview
• On-Premises
• Cloud

Global AI For Risk Management Market Size by Risk & CAGR (2025-2032)

• Market Overview
• Model Risk
• Operational Risk
• Compliance Risk
• Reputational Risk
• Strategic Risk

Global AI For 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 For 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 For 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

• Alteryx (US)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Apparity (US)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Axioma (US)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Databricks (US)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• DataRobot (US)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Empowered Systems (US)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• FICO (US)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Friss (Netherlands)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Google (US)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• IBM (US)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Kx Systems (US)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• MathWorks (US)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Microsoft (US)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Quantiphi (US)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• RiskLens (US)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• SAS (US)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• TIBCO Software (US)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• ValidMind (US)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Yields.io (Belgium)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Zest AI (US)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments

Conclusion & Recommendations