AI Model Risk Management Market Size, Deep Analysis, Growth Statistics, Share, Trends And Forecast To 2033

The Business Research Company recently released a comprehensive report on the Global AI Model Risk Management Market Size and Trends Analysis with Forecast 2024-2033. This latest market research report offers a wealth of valuable insights and data, including global market size, regional shares, and competitor market share. Additionally, it covers current trends, future opportunities, and essential data for success in the industry.

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According to The Business Research Company's, The AI model risk management market size has grown rapidly in recent years. It will grow from $5.32 billion in 2023 to $6.17 billion in 2024 at a compound annual growth rate (CAGR) of 16.0%. The growth in the historic period can be attributed to the deployment of AI models across global markets, growing concerns around insurance coverage and liability associated with AI model failures, increasing awareness among stakeholders about the potential risks associated with AI models, and adoption of AI across industries necessitates robust risk management frameworks and driving towards improving operational efficiency through effective management of AI model risks and governance.

The AI model risk management market size is expected to see rapid growth in the next few years. It will grow to $11.19 billion in 2028 at a compound annual growth rate (CAGR) of 16.1%. The growth in the forecast period can be attributed to increasing regulatory scrutiny and requirements for managing AI models, increasing board and executive oversight of AI model risk management practices, a heightened awareness of ethical implications of AI, and risks associated with cybersecurity threats targeting AI models. Major trends in the forecast period include rapid advancements in AI technologies, integration of AI model risk management with broader enterprise risk management frameworks, development of methodologies to quantify and assess risks associated with AI models, and continuous improvement and adaptation of AI model risk management strategies.

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Market Drivers and Trends:

The growing awareness of cyber security threats is expected to propel the growth of AI model risk management going forward. Cybersecurity threats are malicious activities targeting computer systems to steal, damage, or disrupt data, including malware, phishing, and DoS attacks, posing risks to digital security. Cybersecurity threats are increasing due to the growing reliance on digital technologies and the expanding attack surface for cybercriminals. AI model risk management for cybersecurity threats helps identify vulnerabilities, predict potential attacks, and enhance protective measures. For instance, in July 2022, the UK Department for Digital, Culture, Media, and Sport revealed that 39% of UK businesses experienced a cyber-attack in the past year, with an average estimated cost of $5,369.68 for medium and large businesses and $24,878.68 when considering only material outcomes such as loss of money or data. Therefore, the growing awareness of cyber security threats is driving the growth of the AI model risk management market.

Major companies operating in the AI model risk management market are focusing on developing innovative solutions, such as advanced artificial intelligence (AI) models, to gain a competitive edge in the market. An advanced AI model refers to sophisticated artificial intelligence systems designed to perform complex tasks with high accuracy and efficiency. These models often leverage cutting-edge techniques in machine learning, deep learning, and natural language processing to analyze vast amounts of data, make predictions, and automate decision-making processes. For instance, in July 2024, Zendata, a US-based developer of a security platform, launched an advanced AI model and data usage scanning platform, enhancing governance, bias detection, and compliance across enterprise AI ecosystems. This innovative offering delivers comprehensive governance, bias detection, and compliance capabilities across entire AI and data ecosystems, addressing the growing need for transparent and responsible AI deployment in enterprises.

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Major Key Players of the Market:

Amazon.com Inc., Google LLC, Microsoft Corporation, International Business Machines Corporation, Deloitte Touche Tohmatsu Limited, PricewaterhouseCoopers International Limited, Ernst & Young, Oracle Corporation, KPMG International Limited, SAP SE, Moody's Analytics, Sas Institute Inc, DataBricks Inc, Teradata Corporation, Palantir Technologies Inc., Fair Isaac Corporation, The MathWorks Inc, DataRobot Inc, H2O.ai, LogicGate, LogicManager

AI Model Risk Management Market 2024 Key Insights:

• The AI model risk management market size is expected to see rapid growth in the next few years. It will grow to $11.19 billion in 2028 at a compound annual growth rate (CAGR) of 16.1%.
• Growing Awareness Of Cyber Security Threats Propelling The Growth Of AI model Risk Management Market
• Advancements And Innovations In AI Technology In AI model Risk Management
• North America was the largest region in the AI model risk management market in 2023

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