Europe AI Model Risk Management Market (2024-2029)

RESEARCH METHODOLOGY

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.

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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

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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)