What is the global market size of AI For Risk Management Market?

Global AI For Risk Management Market size was valued at USD 8.9 billion in 2021 and is poised to grow from USD 11.36 billion in 2022 to USD 68.5 billion by 2030, at a CAGR of 11.3% during the forecast period (2023-2030)

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

Report ID: SQMIG45F2059 | Region: Global | Published Date: December, 2024
Pages: 257 | Tables: 36 | Figures: 67

AI For Risk Management Market News

In October 2022,Sphera, a leading global provider of Environmental, Social and Governance (ESG) performance and risk management software, data and consulting services, has completed its planned acquisition of riskmethods, a Munich, Germany-based software company that specializes in supply chain risk management (SCRM). This acquisition supports Sphera's continued innovation and expansion in the ESG solutions space.riskmethods' software as a service (SaaS) solution uses artificial intelligence (AI), big data and machine learning to identify, analyze and help mitigate all types of supply chain risk, including monitoring sustainability practices and ESG compliance in the supply chain.

AI For Risk Management Market Report Snapshots

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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).

Competition in the global AI For Risk Management market is expected to increase during the forecast period because new players are expected to enter in the global market and the number of Softwares and services compatible with AI For Risk Management will also increase. Currently, only a few key players are providing their services in the global market but these numbers will increase in the upcoming years. '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) '

One of the vital aspects that provides information on attacker sources, indicator of compromise, behavioral trends related to cloud account use, and attack against various types of cloud service is threat intelligence data.Machine learning can be used to aggregate the feeds of threat intelligence and analyze it at scale.Along with it, it is also processed for likelihood and predictability models.

One of the trending areas that is being used for total risk management solutions is blockchain. It provides a secure way of storing data and tracking transactions. This means that it can be used to track risks and to ensure that they are being managed properly. Along with development of blockchain in risk management solutions, there is increased focus on ethics in risk management because there are ethical implications associated with the use of AI, such as potential for bias.

Globally, North America is estimated to hold the highest global AI For Risk Management market share . Main factors during this growth period is the presence of top market players such as NVIDIA, Microsoft and others.

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

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