AIモデルリスク管理市場 – 2029年までの世界業界予測

AI Model Risk Management Market – Global Industry Forecast to 2029

AIモデルリスク管理市場 – 提供物(ソフトウェアの種類とサービス)、用途(不正検出とリスク削減、企業コンプライアンス監視)、リスクの種類、市場規模、シェア、成長分析、業種&地域別 – 2029年までの世界業界予測
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

The AI Model Risk Management market is projected to grow from USD 5.7 billion in 2024 to USD 10.5 billion by 2029, at a compound annual growth rate (CAGR) of 12.9% during the forecast period.

AI モデル リスク管理市場は、2024 年の 57 億米ドルから 2029 年までに 105 億米ドルに成長すると予測されており、予測期間中の年間平均成長率 (CAGR) は 12.9% です。

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

AIモデルリスク管理市場 – 2029年までの世界業界予測

The report provides insights on the following pointers:

  • Analysis of key drivers (Rising need to automate risk assessment for degraded manual errors, increasing need to establish robust security protocols, monitor compliance, and respond effectively to emerging threats, and rising need to automate the model lifecycle, improve efficiency, and surge the quality of the final production models), restraints (Increasing cybersecurity risks such as data breaches and model tampering, and stringent Regulations and risk frameworks), opportunities (Emergence of Generative AI for automating compliance audits and efficiently managing risks, and the advent of reinforcement learning and deep learning to handle intricate risk scenarios across the BFSI sector), and challenges (Complex model interpretation and validation process, real-time model monitoring could be time-consuming, and the data privacy issues with AI and ML).
  • Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the AI Model Risk Management market.
  • Market Development: Comprehensive information about lucrative markets – the report analyses the AI Model Risk Management market across varied regions.
  • Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the AI Model Risk Management market.
  • Competitive Assessment: In-depth assessment of market shares, growth strategies, and service offerings of leading players, including Microsoft (US), IBM (US), SAS Institute (US), AWS (US), Google (US), C3 AI (US), and H2O.ai (US) among others in the AI model risk management market strategies. The report also helps stakeholders understand the pulse of the AI model risk management market and provides them with information on key market drivers, restraints, challenges, and opportunities.