風險管理人工智慧市場規模、佔有率、成長分析、按組件、按部署模型、按風險、按應用、按最終用途、按地區 - 行業預測，2025-2032 年

2023年，風險管理人工智慧的全球市場規模預計為53億美元，預測期內（2025-2032年）複合年成長率為11.1%，從2024年的58.9億美元增加到2032年的136億美元。成長至7000 萬美元。

人工智慧擴大被用於風險管理，因為它在創意生成、資料來源、模型開發和監控等應用中具有高度通用性。透過進行符合現有框架和價值觀的評估，改善對組織特定的監管和聲譽風險的識別。有效的風險管理取決於選擇正確的資料，透過歷史評估進行提煉，適合人工智慧處理。人工智慧有助於威脅分析、風險降低、詐欺偵測和資料分類，利用機器學習引擎分析大量資料集並產生即時預測模型以進行主動風險管理。然而，處理大量資料的高成本以及對資料隱私和保護的重大擔憂可能會阻礙該行業的成長，而雲端服務需要強大的安全措施。

目錄

介紹

• 研究目的
• 調查範圍
• 定義

調查方法

• 資訊採購
• 二手資料和主要資料方法
• 市場規模預測
• 市場假設與限制

執行摘要

• 全球市場展望
• 供需趨勢分析
• 按細分市場的機會分析

市場動態及展望

• 市場概況
• 市場規模
• 市場動態
  • 促進因素和機遇
  • 限制因素和挑戰
• 波特的分析

主要市場考察

• 關鍵成功因素
• 競爭程度
• 主要投資機會
• 市場生態系統
• 市場吸引力指數（2024年）
• PESTEL分析
• 總體經濟指標
• 價值鏈分析
• 價格分析
• 技術分析
• 監管分析
• 案例研究分析
• 專利分析

風險管理人工智慧市場規模：按組成部分

• 市場概況
• 軟體
• 服務
  • 專業的
  • 管理

風險管理人工智慧市場規模：按部署模型分類

• 市場概況
• 本地
• 雲

風險管理人工智慧市場規模：按風險分類

• 市場概況
• 模型風險
• 操作風險
• 合規風險
• 聲譽風險
• 策略風險

風險管理人工智慧市場規模：按應用分類

• 市場概況
• 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

風險管理人工智慧市場規模：依最終用途分類

• 市場概況
• BFSI
• 資訊科技和通訊
• 衛生保健
• 車
• 零售與電子商務
• 製造業
• 政府和國防
• 其他

風險管理的人工智慧市場規模

• 北美洲
  • 美國
  • 加拿大
• 歐洲
  • 德國
  • 西班牙
  • 法國
  • 英國
  • 義大利
  • 其他歐洲國家地區
• 亞太地區
  • 中國
  • 印度
  • 日本
  • 韓國
  • 其他亞太地區
• 拉丁美洲
  • 巴西
  • 其他拉丁美洲地區
• 中東/非洲
  • 海灣合作理事會國家
  • 南非
  • 其他中東/非洲

競爭資訊

• 前5名企業對比
• 主要企業市場定位（2024年）
• 主要市場參與者所採取的策略
• 近期市場趨勢
• 公司市場佔有率分析（2024年）
• 主要企業簡介
  • 公司簡介
  • 產品系列分析
  • 按細分市場分類的佔有率分析
  • 收益與前一年同期比較（2022-2024）

主要企業簡介

• 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）

結論和建議

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