AI Model Risk Management Market Size, Share & Trends Analysis Report By Offering (Software, Services), By Risk Type, By Application, By Vertical, By Region, And Segment Forecasts, 2024 - 2030
AI Model Risk Management Market Size, Share & Trends Analysis Report By Offering (Software, Services), By Risk Type, By Application, By Vertical, By Region, And Segment Forecasts, 2024 - 2030
AI Model Risk Management Market Trends
The global AI model risk management market size was estimated at USD 5.48 billion in 2023 and is projected to grow at a CAGR of 12.8% from 2024 to 2030. Businesses across industries are increasingly adopting AI to gain competitive advantages, leading to a corresponding increase in model-related risks. The complexity of AI models is rising, making them harder to understand and manage, necessitating specialized risk management solutions. Thus, governments worldwide are enacting stricter regulations to govern the use of AI, particularly in sectors such as BFSI, healthcare, and automotive. Adherence to data privacy and transparency regulations is driving the demand for the market for AI model risk management.
AI models heavily rely on data, and issues with data quality, such as inaccuracies or biases, can lead to faulty models and reputational damage. Concerns about algorithmic bias and fairness are driving the need for rigorous risk assessment and mitigation strategies. In addition, AI models can be targets for cyberattacks, leading to data breaches, model tampering, and intellectual property theft. Thus, safeguarding sensitive data used to train and operate AI models is a critical concern.
Effective AI model risk management can help organizations avoid costly errors, lawsuits, and reputational damage. By ensuring model reliability and performance, organizations can improve operational efficiency and productivity. Demonstrating a strong commitment to AI model risk management can enhance an organization's reputation and trust among customers and stakeholders. Robust risk management practices can foster a culture of innovation by enabling organizations to deploy AI models confidently.
AI Model Risk Management Market Report Segmentation
This report forecasts revenue growth at global, regional, and country levels and analyzes the latest industry trends in each of the sub-segments from 2017 to 2030. For this study, Grand View Research has segmented the global AI model risk management market report based on offering, risk type, application, vertical, and region.
Offering Outlook (Revenue, USD Million, 2017 - 2030)
Software
Software By Type
Software By Deployment Mode
Services
Professional Services
Consulting & Advisory
Integration & Deployment
Support & Maintenance
Training & Education
Managed Services
Risk Type Outlook (Revenue, USD Million, 2017 - 2030)
Security Risk
Ethical Risk
Operational Risk
Application Outlook (Revenue, USD Million, 2017 - 2030)
Fraud Detection and Risk Reduction
Data Classification and Labelling
Sentiment Analysis
Model Inventory Management
Customer Segmentation and Targeting
Regulatory Compliance Monitoring
Others
Vertical Outlook (Revenue, USD Million, 2017 - 2030)
BFSI
Retail & E-commerce
IT & Telecom
Manufacturing
Healthcare & Life Sciences
Media & Entertainment
Government and Public Sector
Others
Regional Outlook (Revenue, USD Million, 2017 - 2030)
North America
U.S.
Canada
Mexico
Europe
UK
Germany
France
Asia Pacific
China
India
Japan
Australia
South Korea
Latin America
Brazil
MEA
UAE
South Africa
KSA
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Chapter 1. Methodology and Scope
1.1. Market Segmentation and Scope
1.2. Market Definitions
1.3. Research Methodology
1.3.1. Information Procurement
1.3.2. Information or Data Analysis
1.3.3. Market Formulation & Data Visualization
1.3.4. Data Validation & Publishing
1.4. Research Scope and Assumptions
1.4.1. List of Data Sources
Chapter 2. Executive Summary
2.1. Market Outlook
2.2. Segment Outlook
2.3. Competitive Insights
Chapter 3. AI Model Risk Management Market Variables, Trends, & Scope
3.1. Market Introduction/Lineage Outlook
3.2. Market Size and Growth Prospects (USD Million)
3.3. Industry Value Chain Analysis
3.4. Market Dynamics
3.4.1. Market Drivers Analysis
3.4.1.1. Increasing need to respond effectively to emerging threats and establish robust security protocols
3.4.1.2. Emergence of Generative AI for managing compliance audit and risks
3.4.2. Market Restraints Analysis
3.4.2.1. Growing cybersecurity risks
3.4.3. Industry Opportunities
3.4.4. Industry Challenges
3.5. AI Model Risk Management Market Analysis Tools
3.5.1. Porter’s Analysis
3.5.1.1. Bargaining power of the suppliers
3.5.1.2. Bargaining power of the buyers
3.5.1.3. Threats of substitution
3.5.1.4. Threats from new entrants
3.5.1.5. Competitive rivalry
3.5.2. PESTEL Analysis
3.5.2.1. Political landscape
3.5.2.2. Economic and Social landscape
3.5.2.3. Technological landscape
3.5.2.4. Environmental landscape
3.5.2.5. Legal landscape
Chapter 4. AI Model Risk Management Market: Offering Estimates & Trend Analysis
4.1. Segment Dashboard
4.2. AI Model Risk Management Market: Offering Movement Analysis, USD Million, 2023 & 2030