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市場調査レポート
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 |
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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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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。
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.