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The ai-model risk management market is forecasted to grow by USD 5.47 billion during 2024-2029, accelerating at a CAGR of 14.8% during the forecast period. The report on the ai-model risk management market provides a holistic analysis, market size and forecast, trends, growth drivers, and challenges, as well as vendor analysis covering around 25 vendors.Speak directly to the analyst to clarify any post sales queries you may have.
The report offers an up-to-date analysis regarding the current market scenario, the latest trends and drivers, and the overall market environment. The market is driven by intensifying global regulatory scrutiny and compliance mandates, proliferation and escalating complexity of ai, spearheaded by generative ai, and heightened corporate awareness of severe reputational and financial risks.
The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market size data, segment with regional analysis and vendor landscape in addition to an analysis of the key companies. Reports have historic and forecast data.
The ai-model risk management market is segmented as below:
By Application
- Fraud detection
- Regulatory compliance monitoring
- Model governance and validation
- Customer segmentation and targeting
- Others
By Component
- Software by type
- Software by deployment mode
- Services
By Type
- Operational risk
- Compliance risk
- Strategic risk
By Geographical Landscape
- North America
- APAC
- Europe
- Middle East and Africa
- South America
The report on the ai-model risk management market covers the following areas:
- AI-Model Risk Management Market sizing
- AI-Model Risk Management Market forecast
- AI-Model Risk Management Market industry analysis
The report presents a detailed picture of the market by the way of study, synthesis, and summation of data from multiple sources by an analysis of key parameters such as profit, pricing, competition, and promotions. It presents various market facets by identifying the key industry influencers. The data presented is comprehensive, reliable, and a result of extensive primary and secondary research. The market research reports provide a complete competitive landscape and an in-depth vendor selection methodology and analysis using qualitative and quantitative research to forecast accurate market growth.
Table of Contents
1 Executive Summary
2 Market Analysis
3 Market Landscape
4 Market Sizing
5 Historic Market Size
6 Five Forces Analysis
7 Market Segmentation by Application
8 Market Segmentation by Component
9 Market Segmentation by Type
10 Customer Landscape
11 Geographic Landscape
12 Drivers, Challenges, and Opportunity/Restraints
13 Competitive Landscape
14 Competitive Analysis
15 Appendix
List of Exhibits
Executive Summary
The following companies are recognized as the key players in the global ai-model risk management market: Accenture PLC, Alteryx Inc., Amazon Web Services Inc., Capgemini Service SAS, Cognizant Technology Solutions Corp., DataRobot Inc., Fair Isaac Corp., Google LLC, H2O.ai Inc., Informatica Inc., International Business Machines Corp., Microsoft Corp., ModelOp, Oracle Corp., Palantir Technologies Inc., Quantiphi Inc., Riskfuel Analytics Inc., SAS Institute Inc., and Tata Consultancy Services Ltd..Commenting on the report, an analyst from the research team said: "The latest trend gaining momentum in the market is consolidation towards holistic, end-to-end governance platforms."
According to the report, one of the major drivers for this market is the intensifying global regulatory scrutiny and compliance mandates.
The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market and vendor landscape in addition to a SWOT analysis of the key vendors.
Companies Mentioned (Partial List)
A selection of companies mentioned in this report includes, but is not limited to:
- Accenture PLC
- Alteryx Inc.
- Amazon Web Services Inc.
- Capgemini Service SAS
- Cognizant Technology Solutions Corp.
- DataRobot Inc.
- Fair Isaac Corp.
- Google LLC
- H2O.ai Inc.
- Informatica Inc.
- International Business Machines Corp.
- Microsoft Corp.
- ModelOp
- Oracle Corp.
- Palantir Technologies Inc.
- Quantiphi Inc.
- Riskfuel Analytics Inc.
- SAS Institute Inc.
- Tata Consultancy Services Ltd.
