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商品コード
1623799

リスク管理向けAIの市場規模、シェア、成長分析、コンポーネント別、展開モデル別、リスク別、用途別、最終用途別、地域別 - 産業予測、2025~2032年

AI For Risk Management Market Size, Share, Growth Analysis, By Component (Software, Services), By Deployment Model (On-Premises, Cloud), By Risk, By Application, By End Use, By Region - Industry Forecast 2025-2032


出版日
発行
SkyQuest
ページ情報
英文 257 Pages
納期
3~5営業日
価格
価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=146.99円
リスク管理向けAIの市場規模、シェア、成長分析、コンポーネント別、展開モデル別、リスク別、用途別、最終用途別、地域別 - 産業予測、2025~2032年
出版日: 2024年12月25日
発行: SkyQuest
ページ情報: 英文 257 Pages
納期: 3~5営業日
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  • 概要
  • 目次
概要

リスク管理向けAIの世界市場規模は、2023年に53億米ドルと評価され、予測期間(2025-2032年)のCAGRは11.1%で、2024年の58億9,000万米ドルから2032年には136億7,000万米ドルに成長する見通しです。

AIは、アイデア出し、データソーシング、モデル開発、モニタリングなどの用途で汎用性が高いため、リスク管理に採用されるケースが増えています。既存のフレームワークや価値観に沿った評価を実施することで、組織特有の規制リスクや風評リスクの特定を強化します。効果的なリスク管理は、AI処理に適した過去の評価を通じて精緻化された、適切なデータの選択にかかっています。AIは脅威分析、リスク削減、不正検知、データ分類を容易にし、機械学習エンジンを活用して膨大なデータセットを分析し、プロアクティブなリスク管理のためのリアルタイム予測モデルを生成します。しかし、この業界の成長は、大量のデータ処理に伴う高いコストや、データのプライバシーと保護をめぐる重大な懸念によって妨げられる可能性があり、クラウド・サービスには強固なセキュリティ対策が必要となります。

目次

イントロダクション

  • 調査の目的
  • 調査範囲
  • 定義

調査手法

  • 情報調達
  • 二次データと一次データの方法
  • 市場規模予測
  • 市場の前提条件と制限

エグゼクティブサマリー

  • 世界市場の見通し
  • 供給と需要の動向分析
  • セグメント別機会分析

市場力学と見通し

  • 市場概要
  • 市場規模
  • 市場力学
    • 促進要因と機会
    • 抑制要因と課題
  • ポーターの分析

主な市場の考察

  • 重要成功要因
  • 競合の程度
  • 主な投資機会
  • 市場エコシステム
  • 市場の魅力指数(2024年)
  • PESTEL分析
  • マクロ経済指標
  • バリューチェーン分析
  • 価格分析
  • 技術分析
  • 規制分析
  • ケーススタディ分析
  • 特許分析

リスク管理向けAI市場規模:コンポーネント別

  • 市場概要
  • ソフトウェア
  • サービス
    • プロ
    • 管理

リスク管理向けAI市場規模:展開モデル別

  • 市場概要
  • オンプレミス
  • クラウド

リスク管理向けAI市場規模:リスク別

  • 市場概要
  • モデルリスク
  • 運用リスク
  • コンプライアンスリスク
  • 評判リスク
  • 戦略リスク

リスク管理向けAI市場規模:用途別

  • 市場概要
  • 信用リスク管理
  • 不正行為の検出と防止
  • アルゴリズム取引
  • 予知保全
  • その他

リスク管理向けAI市場規模:最終用途別

  • 市場概要
  • BFSI
  • ITおよび通信
  • ヘルスケア
  • 自動車
  • 小売業とeコマース
  • 製造業
  • 政府と防衛
  • その他

リスク管理向けAI市場規模

  • 北米
    • 米国
    • カナダ
  • 欧州
    • ドイツ
    • スペイン
    • フランス
    • 英国
    • イタリア
    • その他欧州地域
  • アジア太平洋地域
    • 中国
    • インド
    • 日本
    • 韓国
    • その他アジア太平洋地域
  • ラテンアメリカ
    • ブラジル
    • その他ラテンアメリカ地域
  • 中東・アフリカ
    • GCC諸国
    • 南アフリカ
    • その他中東・アフリカ

競合情報

  • 上位5社の比較
  • 主要企業の市場ポジショニング(2024年)
  • 主な市場企業が採用した戦略
  • 市場の最近の動向
  • 企業の市場シェア分析(2024年)
  • 主要企業の企業プロファイル
    • 会社概要
    • 製品ポートフォリオ分析
    • セグメント別シェア分析
    • 収益の前年比比較(2022-2024)

主要企業プロファイル

  • 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)

結論と推奨事項

目次
Product Code: SQMIG45F2059

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