AI Model Risk Management Market

Report Code TC 9073
Published in Jul, 2024, By MarketsandMarkets™
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AI Model Risk Management Market Size, Share, Growth Analysis, By Offering (Software Type and Services), Application (Fraud Detection & Risk Reduction, Regulatory Compliance Monitoring), Risk Type, Vertical and Region - Global Industry Forecast to 2029

Overview

Asia Pacific is expected to grow rapidly during the forecast period owing to the increasing adoption of advanced technologies and expanding financial services. The fast-growing economy requires strong risk management systems, like model risk management. Investments in infrastructure and digital upgrades also speed up the demand for advanced risk analysis and compliance tools.

Attractive Opportunities in the AI Model Risk Management market

Asia Pacific

Asia Pacific is expected to grow rapidly during the forecast period owing to the increasing adoption of advanced technologies and expanding financial services. The fast-growing economy requires strong risk management systems, like model risk management. Investments in infrastructure and digital upgrades also speed up the demand for advanced risk analysis and compliance tools.

The increasing the need to establish robust security protocols, monitor compliance and respond effectively to emerging threats, rising need to automate risk assessment for degraded manual errors and the need to automate model lifecycle, improve efficiency and surge quality of the final production models.

The North American AI model risk management market is projected to be valued at USD 3.3 billion by 2029, growing at a CAGR of 10.2% during the forecast period.

Partnerships, collaborations, and product launches would offer lucrative opportunities for market players in the next five years.

Emergence of Generative AI for automating compliance audits and efficiently managing risks to offer lucrative opportunities in the market.

Global AI Model Risk Management Market Dynamics

Driver: Increasing need to establish robust security protocols, monitor compliance, and respond effectively to emerging threats

The increasing need to establish robust security protocols, monitor compliance, and respond effectively to emerging threats drives the adoption of model risk management. In today's digital landscape, businesses face constant cybersecurity risks and regulatory requirements. AI Model risk management helps organizations implement strong security measures and protocols to safeguard sensitive data and systems. It ensures compliance with regulations by providing frameworks for assessing and managing risks associated with models used in decision-making processes. By continuously monitoring and updating these models, businesses can identify and respond promptly to new threats or changes in regulatory requirements. This proactive approach not only enhances cybersecurity resilience but also strengthens overall operational and regulatory compliance efforts, making model risk management a crucial component of modern business strategy.

Restraints: Increasing cybersecurity risks such as data breaches and model tampering

The AI Model Risk Management market is restrained by the growing threat of cybersecurity breaches and model tampering, which heightens concerns over the safety and reliability of AI systems. These risks expose critical vulnerabilities in AI models, making them susceptible to unauthorized access, data theft, and malicious alterations, which can significantly compromise model accuracy and decision-making processes. Data breaches and model tampering undermine trust in AI systems, making organizations hesitant to fully embrace AI-driven risk management solutions. According to the National Institute of Standards and Technology (NIST), the frequency of data breaches has increased by 400% over the past decade, which highlights the escalating threat to data security. Additionally, the Federal Trade Commission (FTC) has reported that cyber incidents cost US businesses over USD 50 billion annually, emphasizing the financial risks associated with data breaches. Model tampering, where malicious actors manipulate AI models to produce false outcomes, poses a substantial risk to the integrity and reliability of AI systems. The U.S. Department of Homeland Security (DHS) has identified model tampering as a critical threat, noting that compromised AI models can lead to incorrect risk assessments and decision-making, potentially causing significant harm. These concerns are further corroborated by the European Union Agency for Cybersecurity (ENISA), which states that the complexity and opacity of AI models make them vulnerable to sophisticated attacks, increasing the difficulty of detecting and mitigating tampering. As a result, organizations are wary of adopting AI Model Risk Management software without robust security measures, fearing that potential breaches and tampering could outweigh the benefits.

 

Opportunity: Emergence of Generative AI for automating compliance audits and efficiently managing risks

The advent of Generative AI to automate compliance audits and effectively manage risks offers significant opportunities for AI Model Risk Management software in the market. By streamlining compliance processes, Generative AI reduces costs, enhances accuracy, and ensures real-time adherence to evolving regulations. It improves risk identification through advanced data analysis and predictive analytics, enabling proactive risk mitigation. This technology supports dynamic risk assessment, keeps risk management strategies current, and provides actionable insights for strategic decision-making. Sectors such as financial services, healthcare, manufacturing, and retail benefit from improved compliance, operational efficiency, and risk management. Additionally, the ability to handle large data volumes and complex risk scenarios allows organizations to scale their risk management operations efficiently. Overall, Generative AI-driven solutions position organizations as innovators, enhancing customer trust, reducing the likelihood of significant adverse events, and providing a competitive market edge. This increased efficiency and reliability make Generative AI-driven solutions highly attractive, enabling organizations to better manage risks, maintain compliance, and gain a competitive edge.

Challenge: Complex model interpretation and validation process

The complexity of model interpretation and validation processes presents a substantial challenge in adopting AI Model Risk Management software in the market. Deciphering complex AI models entails grasping their decision-making processes, which can be challenging due to the opacity of models such as deep neural networks. Validating these models necessitates rigorous testing across diverse scenarios to ensure consistent and accurate performance across different conditions. Furthermore, the evolving nature of AI models, capable of adapting to new data and operational contexts, introduces further complexity to their interpretation and validation. Continuous monitoring and updates may be necessary to uphold their accuracy and relevance over time, demanding sustained resources and focus.

Global AI Model Risk Management Market Ecosystem Analysis

ECOSYSTEM ANALYSIS The ecosystem comprises application/software, solution vendors, and end users. These vendors are equally competent and offer cutting-edge technology bundled with AI model risk management products and solutions in the market

 

By services, managed services to register for the fastest growing segment during the forecast period.

Managed services are expected to experience significant growth due to several key factors. Firstly, the growing complexity of regulations requires specialized knowledge, making managed services attractive to companies. Secondly, with the increasing adoption of cloud-based services as businesses are shifting their IT infrastructure to cloud-based solutions, they face complexities in managing and optimizing these environments effectively. Lastly, Managed services have advanced tools and technologies that help identify, assess, and reduce risks more effectively. By providing top-notch solutions, the companies keep up with the latest developments.

By vertical, the Healthcare & Life Sciences segment registered the highest CAGR during the forecast period.

The healthcare and life sciences segment has the highest CAGR in AI model risk management due to several key factors. In today’s world, the industry's reliance on AI and machine learning for drug discovery, personalized medicine, and patient care drives the demand for robust risk management frameworks. As healthcare organizations adopt more AI-driven solutions, there is a critical need to ensure these models are accurate, reliable, and compliant with regulatory standards. Moreover, the sensitivity of healthcare data necessitates stringent risk assessment and management to protect patient privacy and maintain trust. This sector's rapid technological advancements and evolving regulatory landscape further contribute to the significant growth in AI model risk management within healthcare and life sciences.

North America Region Holds the Largest Share of the AI Model Risk Management Market.

Several key factors contribute to North America having the largest market size in model risk management. The region has large financial institutions and tech companies that heavily invest in advanced technologies, including AI and machine learning models. The market across North America is driven by the presence of a high level of technological infrastructure and expertise, facilitating the integration of advanced AI model risk management tools. Moreover, North America boasts a highly mature market with significant investments in AI technology. Organizations across various sectors, including finance, healthcare, and retail, are leveraging AI extensively.

 
 

Recent Developments of AI Model Risk Management Market Industry

  • In July 2023, the partnership between KPMG and Microsoft involves a strategic collaboration to develop and deliver innovative solutions and services that address clients' critical risk, performance, and growth issues. The collaboration is based on Microsoft's Azure, Dynamics, and data platforms, allowing KPMG and Microsoft to work together to build applications on demand, automate manual processes, and continuously analyze information to reduce errors and enhance decision-making capabilities. This partnership aims to help clients transform their businesses by leveraging Microsoft's cloud and AI technologies, and KPMG's expertise in auditing, tax, and advisory service.
  • In May 2024, IBM and Palo Alto Networks announced a strategic partnership to provide AI-powered security solutions. The collaboration aims to integrate AI into cybersecurity, with IBM platforming its internal security solutions and adopting Palo Alto Networks as its preferred cybersecurity partner. The partnership will see IBM integrate its internal security solutions with Palo Alto Networks, enhancing its Cortex XSIAM platform with IBM's Watsonx large language models. Additionally, IBM will train over 1,000 security consultants on Palo Alto Networks products, and both companies will work together to ensure a seamless transition for customers to the Cortex XSIAM platform.

Key Market Players

KEY PLAYERS IN THE AI Model Risk Management Market INCLUDE

  • Microsoft (US)
  • IBM (US)
  • SAS Institute (US)
  • AWS (US)
  • C3 AI (US)
  • H2O.ai(US)
  • Google (US)
  • LogicGate (US)
  • LogicManager (US)
  • MathWorks (US)
  • Alteryx (US)
  • DataBricks (US)
  • Robust Intelligence (US)
  • CIMCON Software (US)
  • Empowered Systems (UK)
  • Mitratech (US)
  • Yields.io (Belgium)
  • MeticStream (US)
  • iManage (US)
  • UpGuard (US)
  • Apparity(US)
  • AuditBoard (US)
  • NAVEX Global (US)
  • Scrut Automation (India)
  • DataTron (US)
  • Krista (US)
  • Fairly AI (Canada)
  • ModelOp (US)
  • Armilla AI (Canada)
  • Crowe (US)
  •  ValidMind(US)

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Scope of the Report

Report Attribute Details
Market size available for years 2019–2029
Base year considered 2023
Forecast period 2024–2029
Forecast units USD (Billion)
Segments Covered Offering, Risk Type, Application, Vertical, and Region
Geographies covered North America, Asia Pacific, Europe, Middle East & Africa, and Latin America
List of Companies covered Microsoft(US), IBM(US), SAS Institute (US), AWS (US), H2O.ai (US), Google (US), LogicGate (US), LogicManager (US), C3 AI (US), MathWorks (US), Alteryx (US), DataBricks (US), Robust Intelligence (US), CIMCON Software (US), Empowered Systems (UK), Mitratech (US), Yields.io (Belgium), MeticStream (US), iManage (US), UpGuard (US), Apparity (US), AuditBoard (US), NAVEX Global (US), Scrut Automation (India), DataTron (US), Krista (US), Fairly AI (Canada), ModelOp (US), Armilla AI (Canada), Crowe (US), and ValidMind (US).

 

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Table of Contents

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TITLE
PAGE NO
INTRODUCTION
31
RESEARCH METHODOLOGY
36
EXECUTIVE SUMMARY
50
PREMIUM INSIGHTS
57
MARKET OVERVIEW AND INDUSTRY TRENDS
59
  • 5.1 INTRODUCTION
  • 5.2 MARKET DYNAMICS
    DRIVERS
    - Rising need to automate risk assessment for degraded manual errors
    - Growing necessity to establish robust security protocols, monitor compliance, and respond effectively to emerging threats
    - Increasing requirement to automate model lifecycle, improve efficiency, and ensure high-quality final production models
    RESTRAINTS
    - Increasing cybersecurity risks
    - Stringent regulations and risk frameworks
    OPPORTUNITIES
    - Emergence of generative AI to automate compliance audits and efficiently manage risks
    - Advent of reinforcement learning and deep learning to handle intricate risk scenarios across BFSI sector
    CHALLENGES
    - Complex model interpretation and validation processes
    - Extended development timeline due to technical complexity
    - Data privacy issues with AI and ML
  • 5.3 EVOLUTION OF AI MODEL RISK MANAGEMENT MARKET
  • 5.4 SUPPLY CHAIN ANALYSIS
  • 5.5 ECOSYSTEM ANALYSIS
    AI MODEL RISK MANAGEMENT MARKET: SOFTWARE AND SERVICE PROVIDERS
    AI MODEL RISK MANAGEMENT MARKET: SOFTWARE PROVIDERS
    AI MODEL RISK MANAGEMENT MARKET: SERVICE PROVIDERS
    AI MODEL RISK MANAGEMENT MARKET: END USERS
    AI MODEL RISK MANAGEMENT MARKET: REGULATORY BODIES
  • 5.6 CASE STUDY ANALYSIS
    MITRATECH FACILITATES SHAWBROOK BANK DEPLOY CENTRALIZED PLATFORM FOR MANAGING BUSINESS-CRITICAL SPREADSHEETS
    YIELDS EMPOWERED AXA BANK BELGIUM TO EVOLVE DYNAMICALLY AND MEET CHALLENGES OF ITS EXPANDING PORTFOLIO EFFECTIVELY
    ERSTE BANK CROATIA ADVANCES RISK MANAGEMENT AND CUSTOMER EXPERIENCE WITH SAS VISUAL ANALYTICS
    WORLDREMIT TRANSFORMED ITS RISK MANAGEMENT WITH PROTECHT
    AYALON INSURANCE ENHANCES ANTI-MONEY LAUNDERING COMPLIANCE WITH SAS INSTITUTE
  • 5.7 TECHNOLOGY ANALYSIS
    KEY TECHNOLOGIES
    - AI and ML
    - Big data & analytics
    COMPLEMENTARY TECHNOLOGIES
    - Cloud computing
    - Edge computing
    ADJACENT TECHNOLOGIES
    - Computer vision
    - IoT
    - RPA
    - Cybersecurity
  • 5.8 KEY CONFERENCES AND EVENTS (2024–2025)
  • 5.9 INVESTMENT LANDSCAPE AND FUNDING SCENARIO
  • 5.10 REGULATORY LANDSCAPE
    REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    REGULATIONS: AI MODEL RISK MANAGEMENT
    - North America
    - Europe
    - Asia Pacific
    - Middle East & Africa
    - Latin America
  • 5.11 PATENT ANALYSIS
    METHODOLOGY
    PATENTS FILED, BY DOCUMENT TYPE
    INNOVATIONS AND PATENT APPLICATIONS
    - Top 10 patent applicants
  • 5.12 PRICING ANALYSIS
    AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY APPLICATION
    INDICATIVE PRICING ANALYSIS, BY OFFERING
  • 5.13 PORTER’S FIVE FORCES ANALYSIS
    THREAT FROM NEW ENTRANTS
    THREAT OF SUBSTITUTES
    BARGAINING POWER OF SUPPLIERS
    BARGAINING POWER OF BUYERS
    INTENSITY OF COMPETITION RIVALRY
  • 5.14 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
  • 5.15 KEY STAKEHOLDERS AND BUYING CRITERIA
    KEY STAKEHOLDERS IN BUYING PROCESS
    BUYING CRITERIA
AI MODEL RISK MANAGEMENT MARKET, BY OFFERING
100
  • 6.1 INTRODUCTION
    OFFERING: AI MODEL RISK MANAGEMENT MARKET DRIVERS
  • 6.2 SOFTWARE
    MODEL MANAGEMENT
    - Model management software assists organizations in risk mitigation to adapt swiftly to evolving regulatory and operational demands
    - Monitoring and performance
    - Testing and validation
    - Governance and compliance
    - Automated retraining and development
    - Collaboration development
    BIAS DETECTION AND FAIRNESS TOOLS
    - Bias detection and fairness tools identify and mitigate biases within AI models to ensure equitable and non-discriminatory outcomes
    EXPLAINABLE AI TOOLS
    - Explainable AI tools facilitate compliance with regulatory standards, support ethical AI practices, and improve accountability
    RISK SCORING AND STRESS TESTING TOOLS
    - Risk scoring and stress testing tools safeguard organizations from unforeseen risks and operational disruptions
    SECURITY AND PRIVACY MANAGEMENT TOOLS
    - Growing need to ensure safe and ethical use of AI technologies to drive market
    REPORTING AND ANALYTICS TOOLS
    - Advanced reporting and analytics tools enhance AI model risk management
  • 6.3 DEPLOYMENT MODE
    ON-PREMISES
    - On-premises deployment offers enterprises maximum control, security, and compliance in AI model risk management
    CLOUD
    - Need for scalability, flexibility, and cost-effectiveness to fuel demand for cloud deployment of AI model risk management
  • 6.4 SERVICES
    PROFESSIONAL SERVICES
    - Consulting & advisory
    - Integration & deployment
    - Support & maintenance
    - Training & education
    MANAGED SERVICES
AI MODEL RISK MANAGEMENT MARKET, BY RISK TYPE
128
  • 7.1 INTRODUCTION
    RISK TYPE: AI MODEL RISK MANAGEMENT MARKET DRIVERS
  • 7.2 SECURITY RISK
    SECURITY RISKS IN AI MODEL RISK MANAGEMENT SOFTWARE SAFEGUARD AND ENSURE INTEGRITY AND CONFIDENTIALITY OF AI-DRIVEN PROCESSES
  • 7.3 ETHICAL RISK
    AI MODEL RISK MANAGEMENT SOFTWARE ENSURES RESPONSIBLE AI USAGE AND MINIMIZES ETHICAL RISKS LINKED WITH AI TECHNOLOGIES
  • 7.4 OPERATIONAL RISK
    OPERATIONAL RISK INVOLVES ADDRESSING SYSTEM FAILURES AND OPTIMIZING AI MODELS TO MAINTAIN EFFECTIVENESS
AI MODEL RISK MANAGEMENT MARKET, BY APPLICATION
134
  • 8.1 INTRODUCTION
    APPLICATION: AI MODEL RISK MANAGEMENT MARKET DRIVERS
  • 8.2 SENTIMENT ANALYSIS
    SENTIMENT ANALYSIS AIDS BUSINESSES UNDERSTAND CUSTOMER PERCEPTIONS, IDENTIFY EMERGING TRENDS, AND DETECT BRAND REPUTATION RISKS
  • 8.3 FRAUD DETECTION AND RISK REDUCTION
    FRAUD DETECTION AND RISK REDUCTION ENHANCE TRUST AND SECURITY IN AI MODELS AMONG INDUSTRIES
  • 8.4 MODEL INVENTORY MANAGEMENT
    MODEL INVENTORY ENSURES TRACKING, MONITORING, AND OPTIMIZATION OF AI MODELS FOR RISK MITIGATION
  • 8.5 DATA CLASSIFICATION AND LABELING
    DATA CLASSIFICATION AND LABELING IDENTIFY POTENTIAL BIAS AND ENSURE ROBUST GOVERNANCE THROUGHOUT AI LIFECYCLE
  • 8.6 REGULATORY COMPLIANCE MONITORING
    NEED TO ADHERE TO LEGAL AND ETHICAL STANDARDS IN AI DEPLOYMENT TO DRIVE MARKET
  • 8.7 CUSTOMER SEGMENTATION AND TARGETING
    NEED TO EFFECTIVELY ADDRESS DIVERSE CUSTOMER NEEDS TO DRIVE MARKET
  • 8.8 OTHER APPLICATIONS
AI MODEL RISK MANAGEMENT MARKET, BY VERTICAL
145
  • 9.1 INTRODUCTION
    VERTICAL: AI MODEL RISK MANAGEMENT MARKET DRIVERS
  • 9.2 BFSI
    INCREASING COMPLEXITY OF FINANCIAL PRODUCTS AND REGULATIONS TO DRIVE MARKET
    CREDIT RISK ASSESSMENT
    ALGORITHMIC TRADING
    ANTI-MONEY LAUNDERING (AML) MONITORING
    MARKET RISK ANALYSIS
    LOAN DEFAULT PREDICTION
    OTHERS
  • 9.3 RETAIL & ECOMMERCE
    AI-DRIVEN RISK MANAGEMENT EMPOWERS BUSINESSES TO MANAGE RISKS AND DELIVER SECURE AND PERSONALIZED CUSTOMER EXPERIENCE
    DEMAND AND SALES FORECASTING
    CUSTOMER CHURN PREDICTION
    PERSONALIZED RECOMMENDATIONS
    RETURN AND REFUND RISK MANAGEMENT
    CUSTOMER LIFETIME VALUE PREDICTION
    OTHERS
  • 9.4 TELECOM
    TELECOM INCORPORATES AI MODELS TO MITIGATE RISKS RELATED TO DATA PRIVACY AND NETWORK SECURITY
    NETWORK PERFORMANCE MONITORING
    CUSTOMER EXPERIENCE MANAGEMENT
    USAGE PATTERN ANALYSIS
    SERVICE RELIABILITY PREDICTION
    REVENUE ASSURANCE
    OTHERS
  • 9.5 MANUFACTURING
    MANUFACTURING SECTOR USES DATA ANALYTICS TO PREDICT OPERATIONAL RISKS AND ENHANCE PRODUCTION PROCESSES
    PREDICTIVE MAINTENANCE
    QUALITY CONTROL
    PRODUCTION LINE RISK MANAGEMENT
    SUPPLIER RISK ASSESSMENT
    LEAN MANUFACTURING OPTIMIZATION
    OTHERS
  • 9.6 HEALTHCARE & LIFE SCIENCES
    ACCURACY, ROBUSTNESS, AND FAIRNESS OF PREDICTIONS TO DRIVE DEMAND IN HEALTHCARE & LIFE SCIENCES
    PATIENT RISK STRATIFICATION
    PREDICTIVE DIAGNOSTICS
    CLINICAL TRIAL OPTIMIZATION
    DRUG SAFETY MONITORING
    HEALTHCARE COST MANAGEMENT
    OTHERS
  • 9.7 MEDIA & ENTERTAINMENT
    NEED TO ENHANCE USER EXPERIENCES, MAINTAIN PUBLIC TRUST, AND UPHOLD ETHICAL STANDARDS TO DRIVE DEMAND IN MEDIA & ENTERTAINMENT
    AUDIENCE SEGMENTATION
    CONTENT RECOMMENDATION SYSTEMS
    AD TARGETING OPTIMIZATION
    ENGAGEMENT ANALYSIS
    CONTENT DEMAND FORECASTING
    OTHERS
  • 9.8 IT & ITES
    IT & ITES LEVERAGE ADVANCED ANALYTICS TO ASSESS AND MITIGATE RISKS
    IT INFRASTRUCTURE RISK MANAGEMENT
    DATA PRIVACY COMPLIANCE MONITORING
    SERVICE LEVEL AGREEMENT (SLA) COMPLIANCE PREDICTION
    INCIDENT RESPONSE OPTIMIZATION
    SYSTEM DOWNTIME PREDICTION
    PROJECT RISK MANAGEMENT
    OTHERS
  • 9.9 GOVERNMENT & PUBLIC SECTOR
    GOVERNMENTS INCREASINGLY RELY ON AI FOR DECISION-MAKING IN PUBLIC SAFETY, HEALTHCARE, TRANSPORTATION, AND SOCIAL SERVICES
    PUBLIC HEALTH SURVEILLANCE
    DISASTER RESPONSE PLANNING
    CRIME PREDICTION AND PREVENTION
    ENVIRONMENTAL RISK MANAGEMENT
    SOCIAL SERVICES ELIGIBILITY VERIFICATION
    OTHERS
  • 9.10 OTHER VERTICALS
AI MODEL RISK MANAGEMENT MARKET, BY REGION
177
  • 10.1 INTRODUCTION
  • 10.2 NORTH AMERICA
    NORTH AMERICA: AI MODEL RISK MANAGEMENT MARKET DRIVERS
    NORTH AMERICA: IMPACT OF RECESSION
    US
    - Rising adoption of AI in finance and banking sectors to drive market
    CANADA
    - Evolving regulations and guidelines on model risk management to drive market
  • 10.3 EUROPE
    EUROPE: AI MODEL RISK MANAGEMENT MARKET DRIVERS
    EUROPE: IMPACT OF RECESSION
    UK
    - Evolving Landscape of AI Model Risk Management to address the multifaceted challenges posed by AI-driven decision-making systems in various sectors
    GERMANY
    - Growing complexity of AI applications and increasing regulatory scrutiny to drive market
    FRANCE
    - Introduction of guidelines and frameworks for responsible development and deployment of AI systems to drive market
    SPAIN
    - Increasing integration of advanced machine learning algorithms and AI-powered tools to drive market
    ITALY
    - Growing development and adoption of AI technologies to drive market
    REST OF EUROPE
  • 10.4 ASIA PACIFIC
    ASIA PACIFIC: AI MODEL RISK MANAGEMENT MARKET DRIVERS
    ASIA PACIFIC: IMPACT OF RECESSION
    CHINA
    - Government initiatives and advancements by major tech companies to drive market
    JAPAN
    - Focus on mitigating risks related to bias, data privacy, and decision-making to drive market
    INDIA
    - Growing adoption of AI technologies in various industries to drive market
    SOUTH KOREA
    - Commitment to fostering secure and ethical AI ecosystem to drive market
    AUSTRALIA & NEW ZEALAND
    - Rising need for transparency in AI decision-making and demand for robust and reliable AI systems to drive market
    ASEAN COUNTRIES
    - Development and implementation of strategies to harness benefits and manage risks of AI to drive market
    REST OF ASIA PACIFIC
  • 10.5 MIDDLE EAST & AFRICA
    MIDDLE EAST & AFRICA: AI MODEL RISK MANAGEMENT MARKET DRIVERS
    MIDDLE EAST & AFRICA: IMPACT OF RECESSION
    MIDDLE EAST
    - Saudi Arabia
    - UAE
    - Qatar
    - Turkey
    REST OF MIDDLE EAST
    AFRICA
  • 10.6 LATIN AMERICA
    LATIN AMERICA: AI MODEL RISK MANAGEMENT MARKET DRIVERS
    LATIN AMERICA: IMPACT OF RECESSION
    BRAZIL
    - Government-led projects and public-private partnerships focused on use of AI in public services to drive market
    MEXICO
    - Development of policies and frameworks to regulate AI use to drive market
    ARGENTINA
    - Growing focus on developing secure and reliable AI solutions for various sectors to drive market
    REST OF LATIN AMERICA
COMPETITIVE LANDSCAPE
237
  • 11.1 OVERVIEW
  • 11.2 KEY PLAYER STRATEGIES/RIGHT TO WIN
  • 11.3 REVENUE ANALYSIS
  • 11.4 MARKET SHARE ANALYSIS
    MARKET RANKING ANALYSIS
  • 11.5 PRODUCT COMPARATIVE ANALYSIS
  • 11.6 COMPANY VALUATION AND FINANCIAL METRICS OF KEY VENDORS
  • 11.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023
    STARS
    EMERGING LEADERS
    PERVASIVE PLAYERS
    PARTICIPANTS
    COMPANY FOOTPRINT: KEY PLAYERS
    - Company footprint
    - Regional footprint
    - Application footprint
    - Vertical footprint
    - Product footprint
  • 11.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2023
    PROGRESSIVE COMPANIES
    RESPONSIVE COMPANIES
    DYNAMIC COMPANIES
    STARTING BLOCKS
    COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2023
    - Detailed list of key startups/SMEs
    - Competitive benchmarking of key startups/SMEs
  • 11.9 COMPETITIVE SCENARIO AND TRENDS
    PRODUCT LAUNCHES & ENHANCEMENTS
    DEALS
COMPANY PROFILES
262
  • 12.1 INTRODUCTION
  • 12.2 KEY PLAYERS
    MICROSOFT
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    IBM
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    SAS INSTITUTE
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    AWS
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    GOOGLE
    - Business overview
    - Products/Solutions/Services offered
    - MnM view
    H2O.AI
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    LOGICGATE
    - Business overview
    - Products/Solutions/Services offered
    LOGICMANAGER
    - Business overview
    - Products/Solutions/Services offered
    C3 AI
    - Business overview
    - Products/Solutions/Services offered
    MATHWORKS
    - Business overview
    - Products/Solutions/Services offered
    ALTERYX
    AUDITBOARD
    DATABRICKS
    APPARITY
    CIMCON SOFTWARE
    EMPOWERED SYSTEMS
    MITRATECH
    NAVEX GLOBAL
    CROWE
    METRICSTREAM
    IMANAGE
    UPGUARD
  • 12.3 STARTUPS/SMES
    ROBUST INTELLIGENCE
    YIELDS.IO
    SCRUT AUTOMATION
    DATATRON
    KRISTA
    FAIRLY AI
    MODELOP
    ARMILLA AI
    VALIDMIND
ADJACENT AND RELATED MARKETS
316
  • 13.1 INTRODUCTION
  • 13.2 GENERATIVE AI MARKET - GLOBAL FORECAST TO 2030
    MARKET DEFINITION
    MARKET OVERVIEW
    - Generative AI market, by offering
    - Generative AI market, by data modality
    - Generative AI market, by application
    - Generative AI market, by vertical
    - Generative AI market, by region
  • 13.3 MLOPS MARKET - GLOBAL FORECAST TO 2027
    MARKET DEFINITION
    MARKET OVERVIEW
    - MLOps market, by component
    - MLOps market, by deployment mode
    - MLOps market, by organization size
    - MLOps market, by vertical
    - MLOps market, by region
APPENDIX
326
  • 14.1 DISCUSSION GUIDE
  • 14.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
  • 14.3 CUSTOMIZATION OPTIONS
  • 14.4 RELATED REPORTS
  • 14.5 AUTHOR DETAILS
LIST OF TABLES
 
  • TABLE 1 USD EXCHANGE RATES, 2019–2023
  • TABLE 2 PRIMARY INTERVIEWS
  • TABLE 3 FACTOR ANALYSIS
  • TABLE 4 IMPACT OF GENERATIVE AI ON AI MODEL RISK MANAGEMENT MARKET
  • TABLE 5 AI MODEL RISK MANAGEMENT MARKET SIZE AND GROWTH RATE, 2019–2023 (USD MILLION, Y-O-Y %)
  • TABLE 6 AI MODEL RISK MANAGEMENT MARKET SIZE AND GROWTH RATE, 2024–2029 (USD MILLION, Y-O-Y %)
  • TABLE 7 AI MODEL RISK MANAGEMENT MARKET: ECOSYSTEM
  • TABLE 8 AI MODEL RISK MANAGEMENT MARKET: DETAILED LIST OF CONFERENCES AND EVENTS, 2024–2025
  • TABLE 9 NORTH AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 10 EUROPE: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 11 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 12 MIDDLE EAST & AFRICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 13 LATIN AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 14 PATENTS FILED, 2013–2023
  • TABLE 15 AI MODEL RISK MANAGEMENT MARKET: TOP 20 PATENT OWNERS, 2013–2023
  • TABLE 16 AI MODEL RISK MANAGEMENT MARKET: LIST OF PATENTS GRANTED, 2022–2023
  • TABLE 17 AVERAGE SELLING PRICE OF KEY PLAYERS FOR TOP 3 APPLICATIONS
  • TABLE 18 INDICATIVE PRICING OF AI MODEL RISK MANAGEMENT OFFERINGS
  • TABLE 19 AI MODEL RISK MANAGEMENT MARKET: IMPACT OF PORTER’S FIVE FORCES
  • TABLE 20 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP 3 VERTICALS
  • TABLE 21 KEY BUYING CRITERIA FOR TOP 3 VERTICALS
  • TABLE 22 AI MODEL RISK MANAGEMENT MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 23 AI MODEL RISK MANAGEMENT MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 24 AI MODEL RISK MANAGEMENT MARKET, BY SOFTWARE TYPE, 2019–2023 (USD MILLION)
  • TABLE 25 MARKET, BY SOFTWARE TYPE, 2024–2029 (USD MILLION)
  • TABLE 26 MARKET, BY MODEL MANAGEMENT SOFTWARE TYPE, 2019–2023 (USD MILLION)
  • TABLE 27 MARKET, BY MODEL MANAGEMENT SOFTWARE TYPE, 2024–2029 (USD MILLION)
  • TABLE 28 MODEL MANAGEMENT: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 29 MODEL MANAGEMENT: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 30 MONITORING AND PERFORMANCE: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 31 MONITORING AND PERFORMANCE: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 32 TESTING AND VALIDATION: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 33 TESTING AND VALIDATION: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 34 GOVERNANCE AND COMPLIANCE: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 35 TESTING AND VALIDATION: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 36 AUTOMATED RETRAINING AND DEVELOPMENT: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 37 AUTOMATED RETRAINING AND DEVELOPMENT: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 38 COLLABORATION DEVELOPMENT: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 39 COLLABORATION DEVELOPMENT: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 40 BIAS DETECTION AND FAIRNESS TOOLS: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 41 BIAS DETECTION AND FAIRNESS TOOLS: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 42 EXPLAINABLE AI TOOLS: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 43 EXPLAINABLE AI TOOLS: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 44 RISK SCORING AND STRESS TESTING TOOLS: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 45 RISK SCORING AND STRESS TESTING TOOLS: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 46 SECURITY AND PRIVACY MANAGEMENT TOOLS: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 47 SECURITY AND PRIVACY MANAGEMENT TOOLS: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 48 REPORTING AND ANALYTICS TOOLS: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 49 REPORTING AND ANALYTICS TOOLS: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 50 MARKET, BY DEPLOYMENT MODE, 2019–2023 (USD MILLION)
  • TABLE 51 MARKET, BY DEPLOYMENT MODE, 2024–2029 (USD MILLION)
  • TABLE 52 ON-PREMISES: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 53 ON-PREMISES: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 54 CLOUD: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 55 CLOUD: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 56 MARKET, BY SERVICE, 2019–2023 (USD MILLION)
  • TABLE 57 MARKET, BY SERVICE, 2024–2029 (USD MILLION)
  • TABLE 58 SERVICES: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 59 SERVICES: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 60 MARKET, BY PROFESSIONAL SERVICE, 2019–2023 (USD MILLION)
  • TABLE 61 MARKET, BY PROFESSIONAL SERVICE, 2024–2029 (USD MILLION)
  • TABLE 62 PROFESSIONAL SERVICES: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 63 PROFESSIONAL SERVICES: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 64 CONSULTING & ADVISORY: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 65 CONSULTING & ADVISORY: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 66 INTEGRATION & DEPLOYMENT: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 67 INTEGRATION & DEPLOYMENT: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 68 SUPPORT & MAINTENANCE: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 69 SUPPORT & MAINTENANCE: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 70 TRAINING & EDUCATION: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 71 TRAINING & EDUCATION: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 72 MANAGED SERVICES: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 73 MANAGED SERVICES: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 74 MARKET, BY RISK TYPE, 2019–2023 (USD MILLION)
  • TABLE 75 MARKET, BY RISK TYPE, 2024–2029 (USD MILLION)
  • TABLE 76 SECURITY RISK: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 77 SECURITY RISK: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 78 ETHICAL RISK: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 79 ETHICAL RISK: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 80 OPERATIONAL RISK: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 81 OPERATIONAL RISK: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 82 MARKET, BY APPLICATION, 2019–2023 (USD MILLION)
  • TABLE 83 MARKET, BY APPLICATION, 2024–2029 (USD MILLION)
  • TABLE 84 SENTIMENT ANALYSIS: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 85 SENTIMENT ANALYSIS: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 86 FRAUD DETECTION AND RISK REDUCTION: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 87 FRAUD DETECTION AND RISK REDUCTION: MARKET BY REGION, 2024–2029 (USD MILLION)
  • TABLE 88 MODEL INVENTORY MANAGEMENT: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 89 MODEL INVENTORY MANAGEMENT: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 90 DATA CLASSIFICATION AND LABELING: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 91 DATA CLASSIFICATION AND LABELING: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 92 REGULATORY COMPLIANCE MONITORING: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 93 REGULATORY COMPLIANCE MONITORING: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 94 CUSTOMER SEGMENTATION AND TARGETING: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 95 CUSTOMER SEGMENTATION AND TARGETING: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 96 OTHER APPLICATIONS: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 97 OTHER APPLICATIONS: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 98 MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
  • TABLE 99 MARKET, BY VERTICAL 2024–2029 (USD MILLION)
  • TABLE 100 BFSI: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 101 BFSI: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 102 RETAIL & ECOMMERCE: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 103 RETAIL & ECOMMERCE: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 104 TELECOM: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 105 TELECOM: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 106 MANUFACTURING: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 107 MANUFACTURING: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 108 HEALTHCARE & LIFE SCIENCES: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 109 HEALTHCARE & LIFE SCIENCES: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 110 MEDIA & ENTERTAINMENT: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 111 MEDIA & ENTERTAINMENT: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 112 IT & ITES: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 113 IT & ITES: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 114 GOVERNMENT & PUBLIC SECTOR: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 115 GOVERNMENT & PUBLIC SECTOR: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 116 OTHER VERTICALS: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 117 OTHER VERTICALS: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 118 MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 119 MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 120 NORTH AMERICA: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 121 NORTH AMERICA: MARKET BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 122 NORTH AMERICA: AI MODEL RISK MANAGEMENT SOFTWARE MARKET, BY TYPE, 2019–2023 (USD MILLION)
  • TABLE 123 NORTH AMERICA: AI MODEL RISK MANAGEMENT SOFTWARE MARKET, BY TYPE, 2024–2029 (USD MILLION)
  • TABLE 124 NORTH AMERICA: MARKET, BY MODEL MANAGEMENT SOFTWARE TYPE, 2019–2023 (USD MILLION)
  • TABLE 125 NORTH AMERICA: MARKET, BY MODEL MANAGEMENT SOFTWARE TYPE, 2024–2029 (USD MILLION)
  • TABLE 126 NORTH AMERICA: MARKET, BY DEPLOYMENT MODE, 2019–2023 (USD MILLION)
  • TABLE 127 NORTH AMERICA: MARKET, BY DEPLOYMENT MODE, 2024–2029 (USD MILLION)
  • TABLE 128 NORTH AMERICA: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
  • TABLE 129 NORTH AMERICA: MARKET, BY SERVICE, 2024–2029 (USD MILLION)
  • TABLE 130 NORTH AMERICA: MARKET, BY PROFESSIONAL SERVICE, 2019–2023 (USD MILLION)
  • TABLE 131 NORTH AMERICA: MARKET, BY PROFESSIONAL SERVICE, 2024–2029 (USD MILLION)
  • TABLE 132 NORTH AMERICA: MARKET, BY RISK TYPE, 2019–2023 (USD MILLION)
  • TABLE 133 NORTH AMERICA: MARKET, BY RISK TYPE, 2024–2029 (USD MILLION)
  • TABLE 134 NORTH AMERICA: MARKET, BY APPLICATION, 2019–2023 (USD MILLION)
  • TABLE 135 NORTH AMERICA: MARKET, BY APPLICATION, 2024–2029 (USD MILLION)
  • TABLE 136 NORTH AMERICA: MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
  • TABLE 137 NORTH AMERICA: MARKET, BY VERTICAL, 2024–2029 (USD MILLION)
  • TABLE 138 NORTH AMERICA: MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
  • TABLE 139 NORTH AMERICA: MARKET, BY COUNTRY, 2024–2029 (USD MILLION)
  • TABLE 140 US: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 141 US: MARKET BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 142 CANADA: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 143 CANADA: MARKET BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 144 EUROPE: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 145 EUROPE: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 146 EUROPE: AI MODEL RISK MANAGEMENT SOFTWARE MARKET, BY TYPE, 2019–2023 (USD MILLION)
  • TABLE 147 EUROPE: AI MODEL RISK MANAGEMENT SOFTWARE MARKET, BY TYPE, 2024–2029 (USD MILLION)
  • TABLE 148 EUROPE: MARKET, BY MODEL MANAGEMENT SOFTWARE TYPE, 2019–2023 (USD MILLION)
  • TABLE 149 EUROPE: MARKET, BY MODEL MANAGEMENT SOFTWARE TYPE, 2024–2029 (USD MILLION)
  • TABLE 150 EUROPE: MARKET, BY DEPLOYMENT MODE, 2019–2023 (USD MILLION)
  • TABLE 151 EUROPE: MARKET, BY DEPLOYMENT MODE, 2024–2029 (USD MILLION)
  • TABLE 152 EUROPE: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
  • TABLE 153 EUROPE: MARKET, BY SERVICE, 2024–2029 (USD MILLION)
  • TABLE 154 EUROPE: MARKET, BY PROFESSIONAL SERVICE, 2019–2023 (USD MILLION)
  • TABLE 155 EUROPE: MARKET, BY PROFESSIONAL SERVICE, 2024–2029 (USD MILLION)
  • TABLE 156 EUROPE: MARKET, BY RISK TYPE, 2019–2023 (USD MILLION)
  • TABLE 157 EUROPE: MARKET, BY RISK TYPE, 2024–2029 (USD MILLION)
  • TABLE 158 EUROPE: MARKET, BY APPLICATION, 2019–2023 (USD MILLION)
  • TABLE 159 EUROPE: MARKET, BY APPLICATION, 2024–2029 (USD MILLION)
  • TABLE 160 EUROPE: MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
  • TABLE 161 EUROPE: MARKET, BY VERTICAL, 2024–2029 (USD MILLION)
  • TABLE 162 EUROPE: MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
  • TABLE 163 EUROPE: MARKET, BY COUNTRY, 2024–2029 (USD MILLION)
  • TABLE 164 UK: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 165 UK: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 166 GERMANY: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 167 GERMANY: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 168 ASIA PACIFIC: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 169 ASIA PACIFIC: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 170 ASIA PACIFIC: AI MODEL RISK MANAGEMENT SOFTWARE MARKET, BY TYPE, 2019–2023 (USD MILLION)
  • TABLE 171 ASIA PACIFIC: AI MODEL RISK MANAGEMENT SOFTWARE MARKET, BY TYPE, 2024–2029 (USD MILLION)
  • TABLE 172 ASIA PACIFIC: MARKET, BY MODEL MANAGEMENT SOFTWARE TYPE, 2019–2023 (USD MILLION)
  • TABLE 173 ASIA PACIFIC: MARKET, BY MODEL MANAGEMENT SOFTWARE TYPE, 2024–2029 (USD MILLION)
  • TABLE 174 ASIA PACIFIC: MARKET, BY DEPLOYMENT MODE, 2019–2023 (USD MILLION)
  • TABLE 175 ASIA PACIFIC: MARKET, BY DEPLOYMENT MODE, 2024–2029 (USD MILLION)
  • TABLE 176 ASIA PACIFIC: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
  • TABLE 177 ASIA PACIFIC: MARKET, BY SERVICE, 2024–2029 (USD MILLION)
  • TABLE 178 ASIA PACIFIC: MARKET, BY PROFESSIONAL SERVICE, 2019–2023 (USD MILLION)
  • TABLE 179 ASIA PACIFIC: MARKET, BY PROFESSIONAL SERVICE, 2024–2029 (USD MILLION)
  • TABLE 180 ASIA PACIFIC: MARKET, BY RISK TYPE, 2019–2023 (USD MILLION)
  • TABLE 181 ASIA PACIFIC: MARKET, BY RISK TYPE, 2024–2029 (USD MILLION)
  • TABLE 182 ASIA PACIFIC: MARKET, BY APPLICATION, 2019–2023 (USD MILLION)
  • TABLE 183 ASIA PACIFIC: MARKET, BY APPLICATION, 2024–2029 (USD MILLION)
  • TABLE 184 ASIA PACIFIC: MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
  • TABLE 185 ASIA PACIFIC: MARKET, BY VERTICAL, 2024–2029 (USD MILLION)
  • TABLE 186 ASIA PACIFIC: MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
  • TABLE 187 ASIA PACIFIC: MARKET, BY COUNTRY, 2024–2029 (USD MILLION)
  • TABLE 188 ASIA PACIFIC: MARKET, BY ASEAN COUNTRY, 2019–2023 (USD MILLION)
  • TABLE 189 ASIA PACIFIC: MARKET, BY ASEAN COUNTRY, 2024–2029 (USD MILLION)
  • TABLE 190 MIDDLE EAST & AFRICA: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 191 MIDDLE EAST & AFRICA: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 192 MIDDLE EAST & AFRICA: AI MODEL RISK MANAGEMENT SOFTWARE MARKET, BY TYPE, 2019–2023 (USD MILLION)
  • TABLE 193 MIDDLE EAST & AFRICA: AI MODEL RISK MANAGEMENT SOFTWARE MARKET, BY TYPE, 2024–2029 (USD MILLION)
  • TABLE 194 MIDDLE EAST & AFRICA: MARKET, BY MODEL MANAGEMENT SOFTWARE TYPE, 2019–2023 (USD MILLION)
  • TABLE 195 MIDDLE EAST & AFRICA: MARKET, BY MODEL MANAGEMENT SOFTWARE TYPE, 2024–2029 (USD MILLION)
  • TABLE 196 MIDDLE EAST & AFRICA: MARKET, BY DEPLOYMENT MODE, 2019–2023 (USD MILLION)
  • TABLE 197 MIDDLE EAST & AFRICA: MARKET, BY DEPLOYMENT MODE, 2024–2029 (USD MILLION)
  • TABLE 198 MIDDLE EAST & AFRICA: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
  • TABLE 199 MIDDLE EAST & AFRICA: MARKET, BY SERVICE, 2024–2029 (USD MILLION)
  • TABLE 200 MIDDLE EAST & AFRICA: MARKET, BY PROFESSIONAL SERVICE, 2019–2023 (USD MILLION)
  • TABLE 201 MIDDLE EAST & AFRICA: MARKET, BY PROFESSIONAL SERVICE, 2024–2029 (USD MILLION)
  • TABLE 202 MIDDLE EAST & AFRICA: MARKET, BY RISK TYPE, 2019–2023 (USD MILLION)
  • TABLE 203 MIDDLE EAST & AFRICA: MARKET, BY RISK TYPE, 2024–2029 (USD MILLION)
  • TABLE 204 MIDDLE EAST & AFRICA: MARKET, BY APPLICATION, 2019–2023 (USD MILLION)
  • TABLE 205 MIDDLE EAST & AFRICA: MARKET, BY APPLICATION, 2024–2029 (USD MILLION)
  • TABLE 206 MIDDLE EAST & AFRICA: MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
  • TABLE 207 MIDDLE EAST & AFRICA: MARKET, BY VERTICAL, 2024–2029 (USD MILLION)
  • TABLE 208 MIDDLE EAST & AFRICA: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 209 MIDDLE EAST & AFRICA: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 210 MIDDLE EAST & AFRICA: MARKET, BY MIDDLE EAST COUNTRY, 2019–2023 (USD MILLION)
  • TABLE 211 MIDDLE EAST & AFRICA: MARKET, BY MIDDLE EAST COUNTRY, 2024–2029 (USD MILLION)
  • TABLE 212 SAUDI ARABIA: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 213 SAUDI ARABIA: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 214 UAE: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 215 UAE: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 216 LATIN AMERICA: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 217 LATIN AMERICA: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 218 LATIN AMERICA: AI MODEL RISK MANAGEMENT SOFTWARE MARKET, BY TYPE, 2019–2023 (USD MILLION)
  • TABLE 219 LATIN AMERICA: AI MODEL RISK MANAGEMENT SOFTWARE MARKET, BY TYPE, 2024–2029 (USD MILLION)
  • TABLE 220 LATIN AMERICA: MARKET, BY MODEL MANAGEMENT SOFTWARE TYPE, 2019–2023 (USD MILLION)
  • TABLE 221 LATIN AMERICA: MARKET, BY MODEL MANAGEMENT SOFTWARE TYPE, 2024–2029 (USD MILLION)
  • TABLE 222 LATIN AMERICA: MARKET, BY DEPLOYMENT MODE, 2019–2023 (USD MILLION)
  • TABLE 223 LATIN AMERICA: MARKET, BY DEPLOYMENT MODE, 2024–2029 (USD MILLION)
  • TABLE 224 LATIN AMERICA: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
  • TABLE 225 LATIN AMERICA: MARKET, BY SERVICE, 2024–2029 (USD MILLION)
  • TABLE 226 LATIN AMERICA: MARKET, BY PROFESSIONAL SERVICE, 2019–2023 (USD MILLION)
  • TABLE 227 LATIN AMERICA: MARKET, BY PROFESSIONAL SERVICE, 2024–2029 (USD MILLION)
  • TABLE 228 LATIN AMERICA: MARKET, BY RISK TYPE, 2019–2023 (USD MILLION)
  • TABLE 229 LATIN AMERICA: MARKET, BY RISK TYPE, 2024–2029 (USD MILLION)
  • TABLE 230 LATIN AMERICA: MARKET, BY APPLICATION, 2019–2023 (USD MILLION)
  • TABLE 231 LATIN AMERICA: MARKET, BY APPLICATION, 2024–2029 (USD MILLION)
  • TABLE 232 LATIN AMERICA: MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
  • TABLE 233 LATIN AMERICA: MARKET, BY VERTICAL, 2024–2029 (USD MILLION)
  • TABLE 234 LATIN AMERICA: MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
  • TABLE 235 LATIN AMERICA: MARKET, BY COUNTRY, 2024–2029 (USD MILLION)
  • TABLE 236 BRAZIL: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 237 BRAZIL: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 238 OVERVIEW OF STRATEGIES ADOPTED BY KEY AI MODEL RISK MANAGEMENT VENDORS
  • TABLE 239 MARKET: DEGREE OF COMPETITION
  • TABLE 240 MARKET: REGIONAL FOOTPRINT
  • TABLE 241 MARKET: APPLICATION FOOTPRINT
  • TABLE 242 MARKET: VERTICAL FOOTPRINT
  • TABLE 243 MARKET: PRODUCT FOOTPRINT
  • TABLE 244 MARKET: DETAILED LIST OF KEY STARTUPS/SMES
  • TABLE 245 MARKET: COMPETITIVE BENCHMARKING OF STARTUPS/SMES
  • TABLE 246 MARKET: PRODUCT LAUNCHES & ENHANCEMENTS, JANUARY 2021–MAY 2024
  • TABLE 247 MARKET: DEALS, JANUARY 2021–MAY 2024
  • TABLE 248 MICROSOFT: COMPANY OVERVIEW
  • TABLE 249 MICROSOFT: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 250 MICROSOFT: PRODUCT LAUNCHES & ENHANCEMENTS
  • TABLE 251 MICROSOFT: DEALS
  • TABLE 252 IBM: COMPANY OVERVIEW
  • TABLE 253 IBM: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 254 IBM: PRODUCT LAUNCHES & ENHANCEMENTS
  • TABLE 255 IBM: DEALS
  • TABLE 256 IBM: OTHERS
  • TABLE 257 SAS INSTITUTE: COMPANY OVERVIEW
  • TABLE 258 SAS INSTITUTE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 259 SAS INSTITUTE: DEALS
  • TABLE 260 AWS: COMPANY OVERVIEW
  • TABLE 261 AWS: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 262 AWS: PRODUCT LAUNCHES & ENHANCEMENTS
  • TABLE 263 AWS: DEALS
  • TABLE 264 GOOGLE: COMPANY OVERVIEW
  • TABLE 265 GOOGLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 266 GOOGLE: DEALS
  • TABLE 267 H2O.AI: COMPANY OVERVIEW
  • TABLE 268 H2O.AI: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 269 H2O.AI: PRODUCT LAUNCHES & ENHANCEMENTS
  • TABLE 270 LOGICGATE: COMPANY OVERVIEW
  • TABLE 271 LOGICGATE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 272 LOGICGATE: DEALS
  • TABLE 273 LOGICMANAGER: COMPANY OVERVIEW
  • TABLE 274 LOGICMANAGER: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 275 C3 AI: COMPANY OVERVIEW
  • TABLE 276 C3 AI: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 277 C3 AI: DEALS
  • TABLE 278 MATHWORKS: COMPANY OVERVIEW
  • TABLE 279 MATHWORKS: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 280 MATHWORKS: DEALS
  • TABLE 281 GENERATIVE AI MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 282 GENERATIVE AI MARKET, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 283 GENERATIVE AI MARKET, BY DATA MODALITY, 2019–2023 (USD MILLION)
  • TABLE 284 GENERATIVE AI MARKET, BY DATA MODALITY, 2024–2030 (USD MILLION)
  • TABLE 285 GENERATIVE AI MARKET, BY APPLICATION, 2019–2023 (USD MILLION)
  • TABLE 286 GENERATIVE AI MARKET, BY APPLICATION, 2024–2030 (USD MILLION)
  • TABLE 287 GENERATIVE AI MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
  • TABLE 288 GENERATIVE AI MARKET, BY VERTICAL, 2024–2030 (USD MILLION)
  • TABLE 289 GENERATIVE AI MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 290 GENERATIVE AI MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 291 MLOPS MARKET, BY COMPONENT, 2018–2021 (USD MILLION)
  • TABLE 292 MLOPS MARKET, BY COMPONENT, 2022–2027 (USD MILLION)
  • TABLE 293 MLOPS MARKET, BY DEPLOYMENT MODE, 2018–2021 (USD MILLION)
  • TABLE 294 MLOPS MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD MILLION)
  • TABLE 295 MLOPS MARKET, BY ORGANIZATION SIZE, 2018–2021 (USD MILLION)
  • TABLE 296 MLOPS MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION)
  • TABLE 297 MLOPS MARKET, BY VERTICAL, 2018–2021 (USD MILLION)
  • TABLE 298 MLOPS MARKET, BY VERTICAL, 2022–2027 (USD MILLION)
  • TABLE 299 MLOPS MARKET, BY REGION, 2018–2021 (USD MILLION)
  • TABLE 300 MLOPS MARKET, BY REGION, 2022–2027 (USD MILLION)
LIST OF FIGURES
 
  • FIGURE 1 MARKET: RESEARCH DESIGN
  • FIGURE 2 DATA TRIANGULATION
  • FIGURE 3 AI MODEL RISK MANAGEMENT MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES
  • FIGURE 4 APPROACH 1, BOTTOM-UP (SUPPLY-SIDE): REVENUE FROM SOFTWARE/SERVICES OF AI MODEL RISK MANAGEMENT MARKET
  • FIGURE 5 APPROACH 2, BOTTOM-UP (SUPPLY-SIDE): COLLECTIVE REVENUE FROM ALL SOFTWARE/SERVICES OF AI MODEL RISK MANAGEMENT MARKET
  • FIGURE 6 APPROACH 3, BOTTOM-UP (SUPPLY-SIDE): COLLECTIVE REVENUE FROM ALL SOFTWARE/SERVICES OF AI MODEL RISK MANAGEMENT MARKET
  • FIGURE 7 APPROACH 4, BOTTOM-UP (DEMAND-SIDE): SHARE OF AI MODEL RISK MANAGEMENT THROUGH OVERALL DIGITAL SOLUTIONS SPENDING
  • FIGURE 8 SOFTWARE SEGMENT TO DOMINATE MARKET IN 2024
  • FIGURE 9 MODEL MANAGEMENT SEGMENT TO HOLD LARGEST MARKET SHARE IN 2024
  • FIGURE 10 CLOUD SEGMENT TO DOMINATE MARKET IN 2024
  • FIGURE 11 MONITORING & PERFORMANCE SEGMENT TO ACCOUNT FOR LARGEST MARKET SHARE IN 2024
  • FIGURE 12 PROFESSIONAL SERVICES SEGMENT TO LEAD MARKET IN 2024
  • FIGURE 13 INTEGRATION & DEPLOYMENT SEGMENT TO HOLD LARGEST MARKET SHARE IN 2024
  • FIGURE 14 SECURITY RISK SEGMENT TO LEAD MARKET IN 2024
  • FIGURE 15 FRAUD DETECTION & RISK REDUCTION SEGMENT TO ACCOUNT FOR LARGEST MARKET SHARE IN 2024
  • FIGURE 16 BFSI SEGMENT TO HOLD LARGEST MARKET SIZE IN 2024
  • FIGURE 17 ASIA PACIFIC TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 18 RISING NEED TO AUTOMATE RISK ASSESSMENT FOR DEGRADED MANUAL ERRORS TO DRIVE MARKET
  • FIGURE 19 SENTIMENT ANALYSIS SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 20 SOFTWARE AND PROFESSIONAL SERVICES SEGMENTS TO HOLD LARGEST MARKET SHARES IN NORTH AMERICA IN 2024
  • FIGURE 21 NORTH AMERICA TO HOLD LARGEST MARKET SHARE IN 2024
  • FIGURE 22 AI MODEL RISK MANAGEMENT MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
  • FIGURE 23 EVOLUTION OF AI MODEL RISK MANAGEMENT MARKET
  • FIGURE 24 AI MODEL RISK MANAGEMENT MARKET: SUPPLY CHAIN ANALYSIS
  • FIGURE 25 AI MODEL RISK MANAGEMENT MARKET ECOSYSTEM: KEY PLAYERS
  • FIGURE 26 AI MODEL RISK MANAGEMENT MARKET: INVESTMENT LANDSCAPE AND FUNDING SCENARIO (USD MILLION AND NUMBER OF FUNDING ROUNDS)
  • FIGURE 27 NUMBER OF PATENTS GRANTED TO VENDORS IN LAST 10 YEARS
  • FIGURE 28 TOP 10 PATENT APPLICANTS IN LAST 10 YEARS
  • FIGURE 29 REGIONAL ANALYSIS OF PATENTS GRANTED, 2013–2023
  • FIGURE 30 AVERAGE SELLING PRICE OF KEY PLAYERS FOR TOP 3 APPLICATIONS
  • FIGURE 31 PORTER’S FIVE FORCES ANALYSIS
  • FIGURE 32 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
  • FIGURE 33 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP 3 APPLICATIONS
  • FIGURE 34 KEY BUYING CRITERIA FOR TOP 3 APPLICATIONS
  • FIGURE 35 SERVICES SEGMENT TO REGISTER HIGHER CAGR THAN SOFTWARE SEGMENT DURING FORECAST PERIOD
  • FIGURE 36 EXPLAINABLE AI TOOLS SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 37 AUTOMATED RETRAINING AND DEPLOYMENT SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 38 ON-PREMISES SEGMENT TO REGISTER HIGHER CAGR THAN CLOUD SEGMENT DURING FORECAST PERIOD
  • FIGURE 39 MANAGED SERVICES SEGMENT TO REGISTER HIGHER CAGR THAN PROFESSIONAL SERVICES SEGMENT DURING FORECAST PERIOD
  • FIGURE 40 SUPPORT & MAINTENANCE SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 41 OPERATIONAL RISK SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 42 SENTIMENT ANALYSIS SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 43 HEALTHCARE & LIFE SCIENCES SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 44 INDIA TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 45 ASIA PACIFIC TO WITNESS HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 46 NORTH AMERICA: AI MODEL RISK MANAGEMENT MARKET SNAPSHOT
  • FIGURE 47 ASIA PACIFIC: AI MODEL RISK MANAGEMENT MARKET SNAPSHOT
  • FIGURE 48 REVENUE ANALYSIS OF KEY PLAYERS IN PAST FIVE YEARS
  • FIGURE 49 SHARE OF LEADING COMPANIES IN AI MODEL RISK MANAGEMENT MARKET, 2023
  • FIGURE 50 PRODUCT COMPARATIVE ANALYSIS
  • FIGURE 51 COMPANY VALUATION AND FINANCIAL METRICS OF KEY VENDORS
  • FIGURE 52 YEAR-TO-DATE (YTD) PRICE TOTAL RETURN AND 5-YEAR STOCK BETA OF KEY VENDORS
  • FIGURE 53 AI MODEL RISK MANAGEMENT MARKET: COMPANY EVALUATION MATRIX (KEY PLAYERS), 2023
  • FIGURE 54 AI MODEL RISK MANAGEMENT MARKET: COMPANY FOOTPRINT
  • FIGURE 55 AI MODEL RISK MANAGEMENT MARKET: COMPANY EVALUATION MATRIX (STARTUPS/SMES), 2023
  • FIGURE 56 MICROSOFT: COMPANY SNAPSHOT
  • FIGURE 57 IBM: COMPANY SNAPSHOT
  • FIGURE 58 AWS: COMPANY SNAPSHOT
  • FIGURE 59 GOOGLE: COMPANY SNAPSHOT
  • FIGURE 60 C3 AI: COMPANY SNAPSHOT

 

The AI Model Risk Management market research study involved extensive secondary sources, directories, journals, and paid databases. Primary sources were mainly industry experts from the core and related industries, preferred providers, third-party service providers, consulting service providers, end users, and other commercial enterprises. In-depth interviews were conducted with various primary respondents, including key industry participants and subject matter experts, to obtain and verify critical qualitative and quantitative information and assess the market’s prospects.

Secondary Research

In the secondary research process, various sources were referred to, for identifying and collecting information for this study. Secondary sources included annual reports, press releases, and investor presentations of companies; white papers, journals, and certified publications; and articles from recognized authors, directories, and databases. The data was also collected from other secondary sources, such as journals, government websites, blogs, and vendors' websites. Additionally, AI Model Risk Management spending of various countries was extracted from the respective sources. Secondary research was mainly used to obtain key information related to the industry’s value chain and supply chain to identify key players based on software, services, market classification, and segmentation according to offerings of major players, industry trends related to software, deployment mode,  services, risk type,  application, vertical, and regions, and key developments from both market- and technology-oriented perspectives.

Primary Research

In the primary research process, various primary sources from both the supply and demand sides were interviewed to obtain qualitative and quantitative information on the market. The primary sources from the supply side included various industry experts, including Chief Experience Officers (CXOs); Vice Presidents (VPs); directors from business development, marketing, and expertise; related key executives from AI Model Risk Management solution vendors, SIs, professional service providers, and industry associations; and key opinion leaders.

Primary interviews were conducted to gather insights, such as market statistics, revenue data collected from software and services, market breakups, market size estimations, market forecasts, and data triangulation. Primary research also helped understand various trends related to technologies, applications, deployments, and regions. Stakeholders from the demand side, such as Chief Information Officers (CIOs), Chief Technology Officers (CTOs), Chief Strategy Officers (CSOs), and end users using solutions, were interviewed to understand the buyer’s perspective on suppliers, products, service providers, and their current usage of AI Model Risk Management software and services, which would impact the overall AI Model Risk Management market.

AI Model Risk Management Market Size, and Share

To know about the assumptions considered for the study, download the pdf brochure

Market Size Estimation

In the bottom-up approach, the adoption rate of AI Model Risk Management software and services among different end users in key countries concerning their regions contributing the most to the market share was identified. For cross-validation, the adoption of AI Model Risk Management software and services among industries and different use cases concerning their regions was identified and extrapolated. Use cases identified in different regions were given weightage for the market size calculation.

Based on the market numbers, the regional split was determined by primary and secondary sources. The procedure included the analysis of the AI Model Risk Management market’s regional penetration. Based on secondary research, the regional spending on Information and Communications Technology (ICT), socioeconomic analysis of each country, strategic vendor analysis of major providers, and organic and inorganic business development activities of regional and global players were estimated. With the data triangulation procedure and data validation through primaries, the exact values of the overall AI Model Risk Management market size and segments’ size were determined and confirmed using the study.

Global AI Model Risk Management Market Size: Bottom-Up and Top-Down Approach

AI Model Risk Management Market Bottom Up and Top Down Approach

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Data Triangulation

Based on the market numbers, the regional split was determined by primary and secondary sources. The procedure included the analysis of the AI Model Risk Management market’s regional penetration. Based on secondary research, the regional spending on Information and Communications Technology (ICT), socioeconomic analysis of each country, strategic vendor analysis of major providers, and organic and inorganic business development activities of regional and global players were estimated. With the data triangulation procedure and data validation through primaries, the exact values of the overall AI Model Risk Management market size and segments’ size were determined and confirmed using the study.

Market Definition

AI model risk management software is a comprehensive tool designed to help organizations effectively manage and mitigate the potential risks associated with their models. It uses advanced data analytics and modeling techniques to identify and evaluate potential risks, allowing businesses to make more informed decisions. As per Databricks, AI Model Risk Management software involves identifying, assessing, and mitigating risks associated with AI models to ensure their reliability, accuracy, and compliance with regulatory standards. This process is crucial for maintaining the integrity and performance of AI models, especially as they are increasingly used in critical applications across various industries.

STAKEHOLDERS

  • Risk Assessment and Software Developers
  • AI Model Risk Management vendors
  • Risk Managers
  • Cloud Service Providers
  • Consulting service providers
  • Business owners
  • Distributors and value-added Resellers (VARs)
  • Independent software vendors
  • Managed service providers
  • Support and maintenance service providers
  • System Integrators (Sis)/migration service providers
  • OEMs
  • Technology providers

Report Objectives

  • To define, describe, and predict the AI model risk management market by offering (software [by type and deployment mode] and services), risk type, application, vertical, and region
  • To provide detailed information related to major factors (drivers, restraints, opportunities, and industry-specific challenges) influencing the market growth
  • To analyze the micro markets with respect to individual growth trends, prospects, and their contributions to the total market
  • To analyze the opportunities in the market for stakeholders by identifying the high-growth segments of the market
  • To analyze opportunities in the market and provide details of the competitive landscape for stakeholders and market leaders
  • To forecast the market size of five main regions: North America, Europe, Asia Pacific, the Middle East & Africa, and Latin America
  • To profile key players and comprehensively analyze their market rankings and core competencies
  • To analyze competitive developments, such as partnerships, new product launches, and mergers & acquisitions, in the market
  • To analyze the impact of the recession across all regions in the AI model risk management market

Available Customizations

With the given market data, MarketsandMarkets offers customizations as per your company’s specific needs. The following customization options are available for the report:

Product Analysis

  • Product quadrant, which gives a detailed comparison of the product portfolio of each company.

Geographic Analysis

  • Further breakup of the North American AI Model Risk Management market
  • Further breakup of the European AI Model Risk Management market
  • Further breakup of the Asia Pacific AI Model Risk Management market
  • Further breakup of the Middle Eastern & African AI Model Risk Management market
  • Further breakup of the Latin America AI Model Risk Management market

Company Information

  • Detailed analysis and profiling of additional market players (up to five)

Previous Versions of this Report

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