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全球人工智慧管治市場（~2029）：能力（模型生命週期管理、風險與合規性、監控與審核、道德與負責任的人工智慧）、產品類型（端到端人工智慧管治平台、MLOps 和LLMOps工具、資料隱私工具）其他
市場調查報告書
商品編碼
1571020

全球人工智慧管治市場（~2029）：能力（模型生命週期管理、風險與合規性、監控與審核、道德與負責任的人工智慧）、產品類型（端到端人工智慧管治平台、MLOps 和LLMOps工具、資料隱私工具）其他

AI Governance Market by Functionality (Model Lifecycle Management, Risk & Compliance, Monitoring & Auditing, Ethics & Responsible AI), Product Type (End-to-end AI Governance Platforms, MLOps & LLMOps Tools, Data Privacy Tools) - Global Forecast to 2029
出版日期: | 出版商: MarketsandMarkets | 英文 357 Pages | 訂單完成後即時交付

價格

人工智慧管治市場規模預計將從2024年的8.906億美元成長到2029年的57.76億美元，預測期內複合年成長率為45.3%。

隨著人們對人工智慧部署中風險管理重要性的認知不斷增強，人工智慧管治市場預計將在未來幾年大幅擴張。企業正在認知到控制人工智慧風險和增加對人工智慧管治工具投資的重要性。金融和醫療保健等受監管行業在建立管治解決方案以遵守嚴格法規方面處於領先地位。隨著企業強調在各個領域負責任且合乎道德地使用人工智慧，對人工智慧系統使用中的信任、透明度和課責的需求不斷成長，進一步推動了市場的發展。

調查範圍
調查年份 2019-2029
基準年 2023年
預測期 2024-2030
單元 美元
部分 產品類型/功能/最終用戶/地區
目標區域 北美、歐洲、亞太地區、中東和非洲、拉丁美洲

“按產品類型分類，MLOps 工具領域預計將在預測期內實現最快的成長率”

MLOps 工具預計將在預測期內實現最高成長率，因為它們簡化了機器學習模型的整體開發、部署和監控。這使得模型版本控制和持續整合符合監管標準，從而提高了流程透明度。 AI 模型及其要求的絕對複雜性是推動組織採用 MLOps 工具的主要因素。這些工具管理整個人工智慧生命週期，從資料處理到即時監控。受監管產業對管治和風險管理模式責任制的需求不斷成長，也推動了 MLOps 工具的成長。

“從功能上講，風險管理與合規業務預計將在預測期內實現最快的成長率。”

隨著人工智慧系統複雜性的增加，監管不斷增多，風險管理與合規預計將成為市場上最快的成長率。各行各業的公司都明白，他們需要考慮人工智慧模型中的偏見、公平和透明度風險，尤其是在金融、醫療保健和保險等受到嚴格監管的行業。例如，金融公司正在應用基於人工智慧的管治解決方案，以遵守歐盟內部的GDPR法規和美國的公平貸款法案，嚴格監控各種決策流程中使用的資料和演算法的使用。醫療保健相關企業正在應用人工智慧管治框架，透過基於人工智慧的診斷工具最大限度地降低風險並提高病患安全，同時保持 HIPAA 合規性。

“按地區分類，北美地區預計將在 2024 年佔據最大佔有率，而亞太地區預計將在預測期內呈現最快成長。”

由於大量人工智慧相關法規和強大且成熟的人工智慧生態系統，預計北美地區到 2024 年仍將保持市場領導。 IBM、微軟和谷歌等美國主要主要企業早期採用人工智慧技術，透過在其產品中建立強大的合規和風險管理工具來推動該地區的人工智慧管治。此外，美國政府正在積極起草有關人工智慧的新法規。例如，在該國《國家人工智慧計劃法案》的支持下，正在製定公司管治框架。

同時，人工智慧管治市場預計將在亞太地區成長最快。中國、日本和韓國的人工智慧實施正在快速進展。這些國家正在製造業、醫療保健和金融等領域對人工智慧技術進行大量投資。因此，對確保遵守當地制定的法規的管治結構的需求不斷成長。

本報告調查了全球人工智慧管治市場，並提供了市場概況、市場成長的各種影響因素分析、技術和專利趨勢、法律制度、案例研究、市場規模趨勢和預測、各種分類，它總結了詳細分析地區/主要國家、競爭環境、主要企業概況等

目錄

第1章簡介

第2章調查方法

第3章執行摘要

第 4 章重要考察

第5章市場概況及產業趨勢

  • 市場動態
    • 促進因素
    • 抑制因素
    • 機會
    • 任務
  • 影響客戶業務的趨勢/干擾
  • 價格分析
  • 供應鏈分析
  • 生態系統
  • 技術分析
  • 專利分析
  • 重大會議及活動
  • 監管狀況
  • 波特五力分析
  • 主要相關利益者和採購標準
  • 投資狀況及資金籌措場景
  • 生成式AI對AI管治市場的影響
  • AI管治生命週期框架
  • 人工智慧管治的演變
  • 案例研究分析

第6章 人工智慧管治市場：依產品類型

  • 資料隱私工具
  • 端到端人工智慧管治平台
  • 資料管治平台
  • MLOPS工具
  • LLMOPS工具
  • 負責任的人工智慧套件
  • 人工智慧管治諮詢服務
  • AIGaaS (AI Governance as a Service)

第7章 人工智慧管治市場（按功能）

  • 模型生命週期管理
    • 自動版本控制
    • 生產管理模式
    • 人工智慧庫存管理
    • 模型差異檢測
  • 風險管理/合規
    • 模型風險管理
    • 監理合規性
    • 識別和減輕風險
    • 第三方風險評估
  • 監控/審核
    • AI模型監控
    • 漂移和偏差緩解
    • 異常檢測
    • 性能下降警報
  • 透明度和可解釋性
    • 模型預測的可解釋性
    • 模型透明度
    • 模型文件和彙報
  • 資料管治
    • 資料沿襲
    • 資料檢測/分類
    • 資料來源
  • 道德和負責任的人工智慧
    • 人工智慧政策制定
    • 政策違規警報
    • 人工智慧倫理管理
    • 合規性檢驗
    • 人工智慧註冊表
  • 其他

第8章人工智慧管治市場：按最終用戶分類

  • BFSI
    • 銀行
    • 金融服務
    • 保險
  • 通訊
  • 政府和國防
  • 醫療保健與生命科學
  • 製造業
  • 零售/消費品
  • 軟體和技術供應商
    • 雲端超大規模資料中心業者
    • 基礎模型/法學碩士提供者
    • 資料註解器
    • AI訓練資料集提供者
    • IT 和 IT 支援的服務供應商
  • 車
  • 媒體娛樂
  • 其他

第9章人工智慧管治市場：按地區

  • 北美洲
  • 歐洲
  • 亞太地區
  • 中東/非洲
  • 拉丁美洲

第10章競爭格局

  • 概述
  • 主要企業/主要企業策略
  • 收益分析
  • 市場佔有率分析
  • 產品/品牌比較
  • 企業價值評估及財務指標
  • 企業評價矩陣：主要企業
  • 公司評估矩陣：Start-Ups企業/中小企業
  • 競爭格局及趨勢

第11章 公司簡介

  • 主要企業
    • IBM
    • MICROSOFT
    • GOOGLE
    • SALESFORCE
    • SAP
    • AWS
    • SAS INSTITUTE
    • FICO
    • META
    • ACCENTURE
  • 其他公司
    • ONETRUST
    • QLIK
    • H20.AI
    • ALTERYX
    • DATAROBOT
    • DATAIKU
    • DOMINO DATA LABS
    • SPARKCOGNITION
    • COLLIBRA
    • QUEST SOFTWARE
  • Start-Ups/中小企業
    • MONITAUR
    • FIDDLER AI
    • UNTANGLE AI
    • 2021.AI
    • HOWSO
    • MIND FOUNDRY
    • CREDO AI
    • HOLISTIC AI
    • FAIRLY AI
    • ENZAI
    • VALIDMIND
    • FAIRNOW
    • MONA LABS
    • ARTHUR AI
    • TRUSTIBLE
    • ATLAN
    • MODELOP
    • NEPTUNE.AI
    • PATRONUS AI
    • DATATRON

第12章鄰近/相關市場

第13章附錄

Product Code: TC 7355

The AI governance market is projected to grow from USD 890.6 million in 2024 to USD 5,776.0 million in 2029, with a CAGR of 45.3% during 2024-2029. The AI governance market is expected to experience substantial expansion in the next few years, fueled by growing recognition of the importance of risk management in AI deployments. Organizations have been investing more in AI governance tools as they realize the criticality of controlling AI risks. Regulated industries in finance and healthcare are leading the way in creating governance solutions for compliance with strict regulations. Increasing demands for trust, transparency, and accountability in using AI systems drive the market further as organizations emphasize responsible and ethical use of AI in various sectors.

Scope of the Report
Years Considered for the Study2019-2029
Base Year2023
Forecast Period2024-2030
Units ConsideredUSD (Million)
SegmentsProduct Type, Functionality, End User, and Region
Regions coveredNorth America, Europe, Asia Pacific, Middle East & Africa, and Latin America

"By product type, MLOps tools segment is expected to register the fastest market growth rate during the forecast period."

MLOps tools are expected to mark the highest growth rate during the forecast period as they streamline the entire development, deployment, and monitoring of machine learning models. This, in turn, enables management of the version control and continuous integration of models in a compliant manner with the regulatory standards, adding more transparency to the process. The sheer complexity of AI models and their requirements has been a giant factor that has moved organizations toward the adoption of MLOps tools, as these tools take care of complete AI lifecycle from data handling to real-time monitoring. Also, increased demand for governance and risk management model accountability in regulated industries fuels their growth.

"By functionality, risk management & compliance is expected to register the fastest market growth rate during the forecast period."

Risk management and compliance is expected to register the fastest market growth rate in the AI governance market as regulations continue to pile while the complexity in AI systems increases. Businesses in all industries understand that they need to factor in the risk related to bias, fairness, and transparency in AI models, especially in strictly regulated sectors such as finance, healthcare, and insurance. For example, AI-based governance solutions are being applied by financial firms to adhere to regulations of GDPR within the European Union, or the Fair Lending Act in U.S., which strictly monitors the usage of data and algorithms used in various decision-making processes. Healthcare organizations apply AI governance frameworks for the purpose of risk minimization and improving patient safety through AI-based diagnostic tools while being HIPAA compliant.

"By region, North America to have the largest market share in 2024, and Asia Pacific is slated to grow at the fastest rate during the forecast period."

North America will remain the market leader in 2024, driven by a robust and well-established AI ecosystem, alongside a substantial number of AI related regulations. Early adoption of AI technologies by leading tech companies, such as IBM, Microsoft, and Google, based in the U.S., drives AI governance in this region through embedding strong tools for compliance and risk management into their offerings. Besides, the U.S. government is proactively drafting new regulations regarding AI. For instance, a governance framework is being developed for enterprises, encouraged by the country's National AI Initiative Act.

Meanwhile, the growth in the AI governance market is expected to be the fastest in the Asia Pacific region. Here, AI adoption in China, Japan, and South Korea is occurring at a steep pace. These countries have substantial investments in AI technologies across sectors such as manufacturing, healthcare, and finance. Thus, there is growing demand for governance structures that ensure conformity with locally developing regulations. For instance, the AI regulations which will be implemented by China will focus on the visibility of the transparency and the decrease of biases in AI. This has resulted in investments into the solution for AI governance.

Breakdown of primaries

In-depth interviews were conducted with Chief Executive Officers (CEOs), innovation and technology directors, system integrators, and executives from various key organizations operating in the AI governance market.

  • By Company: Tier I - 28%, Tier II - 41%, and Tier III - 31%
  • By Designation: C-Level Executives - 36%, D-Level Executives - 40%, and others - 24%
  • By Region: North America - 35%, Europe - 21%, Asia Pacific - 30%, Middle East & Africa - 8%, and Latin America - 6%

The report includes the study of key players offering AI governance solutions. It profiles major vendors in the AI governance market. The major players in the AI governance market include Microsoft (US), IBM (US), Google (US), Salesforce (US), SAP (Germany), AWS (US), SAS Institute (US), FICO (US), Accenture (Ireland), Qlik (US), H2O.AI (US), Alteryx (US), DataRobot (UK), Dataiku (US), Domino Data Lab (US), SparkCognition (US), Collibra (US), OneTrust (US), Quest Software (US), Fiddler AI (US), Untangle AI (Singapore), 2021.AI (Denmark), Howso (US), Monitaur (US), Mind Foundry (UK), Credo AI (US), Holistic AI (UK), Fairly AI (Canada), Enzai (UK), ValidMind (US), FairNow (US), Mona Labs (US), Arthur AI (US), Trustible (US), Atlan (Singapore), ModelOp (US), Neptune AI (Poland), Patronus AI (US), and Datatron (US).

Research coverage

This research report categorizes the AI governance Market by Product Type (Data Privacy Tools, End-To-End AI Governance Platforms, Data Governance Platforms, MLOps Tools, LLMOps Tools, Responsible AI Toolkits, AI Governance Consulting Services, and AI Governance as a Service), by Functionality (Model Lifecycle Management, Risk Management & Compliance , Monitoring & Auditing, Transparency & Explainability, Data Governance, Ethics & Responsible AI, and Others), by End User (BFSI, Telecommunications, Government & Defense, Healthcare & Life Sciences, Manufacturing, Media & Entertainment, Retail & Consumer Goods, Software & Technology Providers, Automotive, and other enterprises), and by Region (North America, Europe, Asia Pacific, Middle East & Africa, and Latin America). The scope of the report covers detailed information regarding the major factors, such as drivers, restraints, challenges, and opportunities, influencing the growth of the AI governance market. A detailed analysis of the key industry players has been done to provide insights into their business overview, solutions, and services; key strategies; contracts, partnerships, agreements, new product & service launches, mergers and acquisitions, and recent developments associated with the AI governance market. Competitive analysis of upcoming startups in the AI governance market ecosystem is covered in this report.

Key Benefits of Buying the Report

The report would provide the market leaders/new entrants in this market with information on the closest approximations of the revenue numbers for the overall AI governance market and its subsegments. It would help stakeholders understand the competitive landscape and gain more insights better to position their business and plan suitable go-to-market strategies. It also helps stakeholders understand the pulse of the market and provides them with information on key market drivers, restraints, challenges, and opportunities.

The report provides insights on the following pointers:

  • Analysis of key drivers (Increasing regulatory compliance pressures driving organizations to adopt governance frameworks, awareness of risk mitigation efforts prompting investments in AI governance tools, AI governance adoption in regulated industries fuels growth of governance solutions, demand for trust and transparency expanding the AI governance market), restraints (Lack of harmonized global standards for AI governance, high costs of implementing AI governance frameworks, and complexity in monitoring and managing AI models post-deployment), opportunities (Growing demand for ethical AI creates opportunities in bias mitigation solutions, integration with MLOps platforms expands the governance market, growth in AI adoption by SMEs fuels demand for scalable governance solutions, emerging regulatory frameworks open new market segments), and challenges (Resistance to change in established workflows, and limited understanding of AI risks and governance needs).
  • Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the AI governance market.
  • Market Development: Comprehensive information about lucrative markets - the report analyses the AI governance market across varied regions.
  • Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the AI governance market.
  • Competitive Assessment: In-depth assessment of market shares, growth strategies and service offerings of leading players like Microsoft (US), IBM (US), Google (US), Salesforce (US), SAP (Germany), AWS (US), SAS Institute (US), FICO (US), Accenture (Ireland), Qlik (US), H2O.AI (US), Alteryx (US), DataRobot (UK), Dataiku (US), Domino Data Lab (US), SparkCognition (US), Collibra (US), OneTrust (US), Quest Software (US), Fiddler AI (US), Untangle AI (Singapore), 2021.AI (Denmark), Howso (US), Monitaur (US), Mind Foundry (UK), and Credo AI (US) among others in the AI governance market. The report also helps stakeholders understand the pulse of the AI governance market and provides them with information on key market drivers, restraints, challenges, and opportunities.

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 STUDY OBJECTIVES
  • 1.2 MARKET DEFINITION
    • 1.2.1 INCLUSIONS AND EXCLUSIONS
  • 1.3 STUDY SCOPE
    • 1.3.1 MARKET SEGMENTATION & REGIONS COVERED
  • 1.4 YEARS CONSIDERED
  • 1.5 CURRENCY CONSIDERED
  • 1.6 STAKEHOLDERS
  • 1.7 SUMMARY OF CHANGES

2 RESEARCH METHODOLOGY

  • 2.1 RESEARCH DATA
    • 2.1.1 SECONDARY DATA
    • 2.1.2 PRIMARY DATA
      • 2.1.2.1 Breakup of primary profiles
      • 2.1.2.2 Key insights from industry experts
  • 2.2 DATA TRIANGULATION
  • 2.3 MARKET SIZE ESTIMATION
    • 2.3.1 TOP-DOWN APPROACH
    • 2.3.2 BOTTOM-UP APPROACH
  • 2.4 MARKET FORECAST
  • 2.5 RESEARCH ASSUMPTIONS
  • 2.6 RESEARCH LIMITATIONS

3 EXECUTIVE SUMMARY

4 PREMIUM INSIGHTS

  • 4.1 ATTRACTIVE OPPORTUNITIES FOR KEY PLAYERS IN AI GOVERNANCE MARKET
  • 4.2 AI GOVERNANCE MARKET: TOP THREE FUNCTIONALITIES
  • 4.3 NORTH AMERICAN AI GOVERNANCE MARKET: TOP THREE PRODUCT TYPES AND END USERS
  • 4.4 AI GOVERNANCE MARKET: BY REGION

5 MARKET OVERVIEW AND INDUSTRY TRENDS

  • 5.1 INTRODUCTION
  • 5.2 MARKET DYNAMICS
    • 5.2.1 DRIVERS
      • 5.2.1.1 Increasing regulatory compliance pressures driving organizations to adopt governance frameworks
      • 5.2.1.2 Awareness of risk mitigation efforts prompting investments in AI governance tools
      • 5.2.1.3 Need for compliance, credibility, safety, and decision-making fuels adoption of governance solutions
      • 5.2.1.4 Demand for trust and transparency
    • 5.2.2 RESTRAINTS
      • 5.2.2.1 Lack of harmonized global standards for AI governance
      • 5.2.2.2 High costs of implementing AI governance frameworks
      • 5.2.2.3 Complexity in monitoring and managing AI models post-deployment
    • 5.2.3 OPPORTUNITIES
      • 5.2.3.1 Growing demand for ethical AI creating opportunities in bias mitigation solutions
      • 5.2.3.2 Integration with MLOps platforms
      • 5.2.3.3 Rising adoption of AI by SMEs fueling demand for scalable governance solutions
      • 5.2.3.4 Emerging regulatory frameworks open new market segments
    • 5.2.4 CHALLENGES
      • 5.2.4.1 Resistance to change in established workflows
      • 5.2.4.2 Limited understanding of AI risks and governance needs
  • 5.3 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
  • 5.4 PRICING ANALYSIS
    • 5.4.1 PRICING DATA, BY PRODUCT TYPE
    • 5.4.2 PRICING DATA, BY FUNCTIONALITY
  • 5.5 SUPPLY CHAIN ANALYSIS
  • 5.6 ECOSYSTEM
    • 5.6.1 END-TO-END AI GOVERNANCE PLATFORM VENDORS
    • 5.6.2 AI GOVERNANCE TOOLS PROVIDERS
    • 5.6.3 TRANSPARENCY AND EXPLAINABILITY VENDORS
    • 5.6.4 CLOUD HYPERSCALERS
    • 5.6.5 MLOPS AND LLMOPS VENDORS
    • 5.6.6 END USERS
    • 5.6.7 DATA PRIVACY VENDORS
    • 5.6.8 DATA GOVERNANCE AND CATALOG VENDORS
  • 5.7 TECHNOLOGY ANALYSIS
    • 5.7.1 KEY TECHNOLOGIES
      • 5.7.1.1 Machine Learning (ML)
      • 5.7.1.2 Explainable AI (XAI)
      • 5.7.1.3 Federated Learning (FL)
      • 5.7.1.4 Differential privacy
      • 5.7.1.5 Automated model monitoring
    • 5.7.2 COMPLEMENTARY TECHNOLOGIES
      • 5.7.2.1 Cybersecurity
      • 5.7.2.2 Data encryption
      • 5.7.2.3 Identity & Access Management (IAM)
      • 5.7.2.4 Data Quality Management (DQM)
      • 5.7.2.5 Risk management systems
    • 5.7.3 ADJACENT TECHNOLOGIES
      • 5.7.3.1 Cloud computing
      • 5.7.3.2 Blockchain
      • 5.7.3.3 Natural Language Processing (NLP)
      • 5.7.3.4 Edge computing
      • 5.7.3.5 High-Performance Computing (HPC)
  • 5.8 PATENT ANALYSIS
    • 5.8.1 METHODOLOGY
    • 5.8.2 PATENTS FILED, BY DOCUMENT TYPE
    • 5.8.3 INNOVATION AND PATENT APPLICATIONS
      • 5.8.3.1 Top 10 applicants in AI governance market
  • 5.9 KEY CONFERENCES AND EVENTS (2024-2025)
  • 5.10 REGULATORY LANDSCAPE
    • 5.10.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    • 5.10.2 REGULATIONS: AI GOVERNANCE
      • 5.10.2.1 North America
        • 5.10.2.1.1 Algorithmic Accountability Act (2019, reintroduced in 2022) (US)
        • 5.10.2.1.2 Directive on Automated Decision-making (Canada)
      • 5.10.2.2 Europe
        • 5.10.2.2.1 UK AI Regulation White Paper
        • 5.10.2.2.2 European Union (EU) - AI Act
        • 5.10.2.2.3 Gesetz zur Regulierung Kunstlicher Intelligenz (AI Regulation Law)
        • 5.10.2.2.4 Artificial Intelligence 4.0 (AI 4.0) Program
        • 5.10.2.2.5 AI Strategy (2021), Data Protection Act
      • 5.10.2.3 Asia Pacific
        • 5.10.2.3.1 Personal Data Protection Bill (PDPB) & National Strategy on AI (NSAI)
        • 5.10.2.3.2 New Generation Artificial Intelligence Development Plan & AI Ethics Guidelines
        • 5.10.2.3.3 Framework Act on Intelligent Informatization
        • 5.10.2.3.4 AI Ethics Framework (Australia) & AI Strategy (New Zealand)
        • 5.10.2.3.5 Model AI Governance Framework
        • 5.10.2.3.6 Data Security Law (2021), AI Guidelines (China)
      • 5.10.2.4 Middle East & Africa
        • 5.10.2.4.1 Saudi Data & Artificial Intelligence Authority (SDAIA) Regulations
        • 5.10.2.4.2 UAE National AI Strategy 2031
        • 5.10.2.4.3 Qatar National AI Strategy
        • 5.10.2.4.4 National Artificial Intelligence Strategy (2021-2025)
        • 5.10.2.4.5 Egyptian Artificial Intelligence Strategy
        • 5.10.2.4.6 Kuwait National Development Plan (New Kuwait Vision 2035)
    • 5.10.3 LATIN AMERICA
        • 5.10.3.1.1 Brazilian General Data Protection Law (LGPD)
        • 5.10.3.1.2 Federal Law on the Protection of Personal Data Held by Private Parties
        • 5.10.3.1.3 Argentina Personal Data Protection Law (PDPL) & AI Ethics Framework
        • 5.10.3.1.4 Chilean Data Protection Law & National AI Policy
        • 5.10.3.1.5 Colombian Data Protection Law (Law 1581) & AI Ethics Guidelines
        • 5.10.3.1.6 Peruvian Personal Data Protection Law & National AI Strategy
  • 5.11 PORTER'S FIVE FORCES ANALYSIS
    • 5.11.1 THREAT OF NEW ENTRANTS
    • 5.11.2 THREAT OF SUBSTITUTES
    • 5.11.3 BARGAINING POWER OF SUPPLIERS
    • 5.11.4 BARGAINING POWER OF BUYERS
    • 5.11.5 INTENSITY OF COMPETITIVE RIVALRY
  • 5.12 KEY STAKEHOLDERS & BUYING CRITERIA
    • 5.12.1 KEY STAKEHOLDERS IN BUYING PROCESS
    • 5.12.2 BUYING CRITERIA
  • 5.13 INVESTMENT LANDSCAPE AND FUNDING SCENARIO
  • 5.14 IMPACT OF GENERATIVE AI ON AI GOVERNANCE MARKET
    • 5.14.1 TOP USE CASES & MARKET POTENTIAL
      • 5.14.1.1 Bias detection and mitigation
      • 5.14.1.2 Automated compliance reporting
      • 5.14.1.3 Policy generation and documentation
      • 5.14.1.4 Dynamic risk assessment
      • 5.14.1.5 Auditing model transparency
  • 5.15 AI GOVERNANCE LIFECYCLE FRAMEWORK
    • 5.15.1 ENVIRONMENTAL LAYER
    • 5.15.2 ORGANIZATIONAL LAYER
    • 5.15.3 AI SYSTEM LAYER
  • 5.16 EVOLUTION OF AI GOVERNANCE
  • 5.17 CASE STUDY ANALYSIS
    • 5.17.1 BFSI
      • 5.17.1.1 Fiddler AI Observability helped Tide scale its ML solutions to support its growth, better understand model outcomes, and align data science and business teams
      • 5.17.1.2 2021.AI collaborated with GF to create AI-derived model that could simulate fraud patterns among household insurance claims
    • 5.17.2 SOFTWARE & TECHNOLOGY PROVIDERS
      • 5.17.2.1 LinkGRC enhanced its GRC service offerings with 2021.AI's AI-based solutions
      • 5.17.2.2 Prometric championed Responsible AI in assessments with long-term partner 2021.AI
    • 5.17.3 RETAIL & CONSUMER GOODS
      • 5.17.3.1 Conjura reduced time to detect and resolve model drift from days to hours with Fiddler

6 AI GOVERNANCE MARKET, BY PRODUCT TYPE

  • 6.1 INTRODUCTION
    • 6.1.1 PRODUCT TYPES: AI GOVERNANCE MARKET DRIVERS
  • 6.2 DATA PRIVACY TOOLS
    • 6.2.1 NEED FOR DATA PRIVACY TOOLS TO GROW DUE TO INCREASED REGULATORY SCRUTINY AND RISING THREAT OF DATA BREACHES
  • 6.3 END-TO-END AI GOVERNANCE PLATFORMS
    • 6.3.1 DEMAND FOR END-TO-END AI GOVERNANCE PLATFORMS TO GROW TO ALIGN AI WITH REGULATORY AND ETHICAL STANDARDS
  • 6.4 DATA GOVERNANCE PLATFORMS
    • 6.4.1 DATA GOVERNANCE PLATFORMS TO TRACK DATA QUALITY AND MITIGATE RISKS ASSOCIATED WITH AI BIASES
  • 6.5 MLOPS TOOLS
    • 6.5.1 REGULATORY COMPLIANCE AND ETHICAL CONCERNS AROUND AI GOVERNANCE TO PLAY CRITICAL ROLE IN GROWTH OF MLOPS TOOLS
      • 6.5.1.1 Model development
      • 6.5.1.2 Model deployment
      • 6.5.1.3 Model monitoring
  • 6.6 LLMOPS TOOLS
    • 6.6.1 CONVERGENCE OF AI GOVERNANCE AND LLMOPS TO ENSURE BETTER MODEL PERFORMANCE TRACKING TO BOOST MARKET GROWTH
  • 6.7 RESPONSIBLE AI TOOLKITS
    • 6.7.1 NEED FOR ORGANIZATIONS TO BALANCE INNOVATION WITH GOVERNANCE TO DRIVE GROWTH OF RESPONSIBLE AI TOOLKITS
  • 6.8 AI GOVERNANCE CONSULTING SERVICES
    • 6.8.1 AI GOVERNANCE CONSULTING SERVICES TO OFFER CRITICAL EXPERTISE TO NAVIGATE COMPLEXITIES OF ETHICAL AI DEPLOYMENT
  • 6.9 AI GOVERNANCE AS A SERVICE
    • 6.9.1 AI GOVERNANCE AS A SERVICE PLATFORMS TO DETECT AND MITIGATE RISKS AND ENHANCE AI SYSTEM ACCOUNTABILITY

7 AI GOVERNANCE MARKET, BY FUNCTIONALITY

  • 7.1 INTRODUCTION
    • 7.1.1 FUNCTIONALITIES: AI GOVERNANCE MARKET DRIVERS
  • 7.2 MODEL LIFECYCLE MANAGEMENT
    • 7.2.1 MODEL LIFECYCLE MANAGEMENT TO MAINTAIN OPERATIONAL EFFICIENCY, ENSURE COMPLIANCE, AND ADDRESS ETHICAL CONCERNS SURROUNDING AI USAGE
    • 7.2.2 AUTOMATED VERSIONING
    • 7.2.3 MODEL-IN-PRODUCTION MANAGEMENT
    • 7.2.4 AI INVENTORY MANAGEMENT
    • 7.2.5 MODEL DIVERGENCE DETECTION
  • 7.3 RISK MANAGEMENT & COMPLIANCE
    • 7.3.1 EFFECTIVE COMPLIANCE FRAMEWORKS COMBINED WITH REGULAR AUDITS AND ETHICAL AI TRAINING TO MINIMIZE RISKS IN AI DEPLOYMENT
    • 7.3.2 MODEL RISK MANAGEMENT
    • 7.3.3 REGULATORY COMPLIANCE
    • 7.3.4 RISK IDENTIFICATION & MITIGATION
    • 7.3.5 THIRD-PARTY RISK EVALUATION
  • 7.4 MONITORING & AUDITING
    • 7.4.1 MONITORING AND AUDITING TO ENSURE TRANSPARENCY, ACCOUNTABILITY, AND COMPLIANCE IN DEPLOYMENT AND OPERATION OF AI SYSTEMS
    • 7.4.2 AI MODEL MONITORING
    • 7.4.3 DRIFT & BIAS MITIGATION
    • 7.4.4 ANOMALY DETECTION
    • 7.4.5 PERFORMANCE DEGRADATION ALERTS
  • 7.5 TRANSPARENCY & EXPLAINABILITY
    • 7.5.1 TRANSPARENCY & EXPLAINABILITY TO ENSURE ACCOUNTABILITY, ETHICAL INTEGRITY, AND USER TRUST
    • 7.5.2 MODEL PREDICTION EXPLAINABILITY
    • 7.5.3 MODEL TRANSPARENCY
    • 7.5.4 MODEL DOCUMENTATION & REPORTING
  • 7.6 DATA GOVERNANCE
    • 7.6.1 DATA GOVERNANCE TO ENSURE AI TRAINING AND OPERATIONS DATA IS ACCURATE, COMPLETE, CONSISTENT, AND PROTECTED FROM BIASES OR MISUSE
    • 7.6.2 DATA LINEAGE
    • 7.6.3 DATA DISCOVERY & CLASSIFICATION
    • 7.6.4 DATA PROVENANCE
  • 7.7 ETHICS & RESPONSIBLE AI
    • 7.7.1 ETHICAL AI TO EMPHASIZE FAIRNESS, TRANSPARENCY, AND ACCOUNTABILITY, AND MINIMIZE BIAS
    • 7.7.2 AI POLICY CREATION
    • 7.7.3 POLICY BREACH ALERTS
    • 7.7.4 AI ETHICS MANAGEMENT
    • 7.7.5 ADHERENCE VALIDATION
    • 7.7.6 AI REGISTRY
  • 7.8 OTHER FUNCTIONALITY TYPES

8 AI GOVERNANCE MARKET, BY END USER

  • 8.1 INTRODUCTION
    • 8.1.1 END USERS: AI GOVERNANCE MARKET DRIVERS
  • 8.2 BFSI
    • 8.2.1 FINANCIAL INSTITUTIONS TO LEVERAGE AI GOVERNANCE TOOLS TO ALIGN WITH NEW REGULATIONS, MITIGATE RISKS, AND ENHANCE TRANSPARENCY
    • 8.2.2 BANKING
    • 8.2.3 FINANCIAL SERVICES
    • 8.2.4 INSURANCE
  • 8.3 TELECOMMUNICATIONS
    • 8.3.1 NEED TO ADDRESS GROWING USE OF AI IN MANAGING NETWORKS, CUSTOMER DATA, AND SERVICES TO DRIVE MARKET GROWTH
  • 8.4 GOVERNMENT & DEFENSE
    • 8.4.1 ADVANCEMENTS IN AI-DRIVEN CYBERSECURITY SYSTEMS TO HIGHLIGHT IMPORTANCE OF GOVERNANCE IN SAFEGUARDING NATIONAL SECURITY, ETHICS, AND COMPLIANCE
  • 8.5 HEALTHCARE & LIFE SCIENCES
    • 8.5.1 RISE OF AI-POWERED CLINICAL DECISION SUPPORT SYSTEMS AND RECOMMENDATIONS FOR DIAGNOSIS AND TREATMENT BASED ON VAST DATASETS TO PROPEL MARKET
  • 8.6 MANUFACTURING
    • 8.6.1 RISE OF INDUSTRY 4.0 AND NEED TO LEVERAGE AI TO ENHANCE PRODUCTIVITY, STREAMLINE OPERATIONS, AND REDUCE COSTS TO FUEL MARKET GROWTH
  • 8.7 RETAIL & CONSUMER GOODS
    • 8.7.1 NEED TO OPTIMIZE OPERATIONS, ENHANCE CUSTOMER EXPERIENCES, AND STREAMLINE SUPPLY CHAINS TO ACCELERATE MARKET GROWTH
  • 8.8 SOFTWARE & TECHNOLOGY PROVIDERS
    • 8.8.1 SOFTWARE & TECHNOLOGY PROVIDERS TO RELY ON AI GOVERNANCE TO ENSURE MODELS AND AI SYSTEMS STAY COMPLIANT, ETHICAL, AND TRANSPARENT
    • 8.8.2 CLOUD HYPERSCALERS
    • 8.8.3 FOUNDATION MODEL/LLM PROVIDERS
    • 8.8.4 DATA ANNOTATORS
    • 8.8.5 AI TRAINING DATASET PROVIDERS
    • 8.8.6 IT & IT-ENABLED SERVICE PROVIDERS
  • 8.9 AUTOMOTIVE
    • 8.9.1 AI ALGORITHMS TO IMPROVE ELECTRONIC VEHICLE PERFORMANCE WHILE ADHERING TO ENVIRONMENTAL REGULATIONS
  • 8.10 MEDIA & ENTERTAINMENT
    • 8.10.1 EMPHASIS ON TRANSPARENCY, INTELLECTUAL PROPERTY PROTECTION, AND PRIVACY TO BOLSTER MARKET GROWTH
  • 8.11 OTHER END USERS

9 AI GOVERNANCE MARKET, BY REGION

  • 9.1 INTRODUCTION
  • 9.2 NORTH AMERICA
    • 9.2.1 NORTH AMERICA: AI GOVERNANCE MARKET DRIVERS
    • 9.2.2 NORTH AMERICA: MACROECONOMIC OUTLOOK
    • 9.2.3 US
      • 9.2.3.1 Need to improve efficiency, decision-making, and robust governance frameworks to manage risks, ethical concerns, and compliance to drive market
    • 9.2.4 CANADA
      • 9.2.4.1 Increasing data security concerns, need for ethical AI practices, robust government support, and strategic investments to propel market
  • 9.3 EUROPE
    • 9.3.1 EUROPE: AI GOVERNANCE MARKET DRIVERS
    • 9.3.2 EUROPE: MACROECONOMIC OUTLOOK
    • 9.3.3 UK
      • 9.3.3.1 Regulatory pressures, sector-specific needs, and advancements in AI transparency tools to fuel market growth
    • 9.3.4 GERMANY
      • 9.3.4.1 Advancements coupled with strong regulatory push and corporate accountability to boost demand for AI governance
    • 9.3.5 FRANCE
      • 9.3.5.1 Increasing demand for ethical AI solutions, regulatory compliance, and heightened awareness of risks to accelerate market growth
    • 9.3.6 ITALY
      • 9.3.6.1 Government investment in AI innovation and governance to prioritize responsible and transparent AI usage to boost market growth
    • 9.3.7 SPAIN
      • 9.3.7.1 Increasing regulatory scrutiny from government and European Union (EU) and allocation of significant funds to R&D under National Strategy for Artificial Intelligence to foster market growth
    • 9.3.8 NETHERLANDS
      • 9.3.8.1 Government investment in AI infrastructure to strengthen local AI capabilities to boost demand for AI governance
    • 9.3.9 REST OF EUROPE
  • 9.4 ASIA PACIFIC
    • 9.4.1 ASIA PACIFIC: AI GOVERNANCE MARKET DRIVERS
    • 9.4.2 ASIA PACIFIC: MACROECONOMIC OUTLOOK
    • 9.4.3 CHINA
      • 9.4.3.1 Advancements paired with China's strategic goals to mitigate AI risks to accelerate adoption of AI governance solutions
    • 9.4.4 INDIA
      • 9.4.4.1 Government initiatives, increased adoption of AI technologies across industries, and rising concerns over data privacy and ethical use of AI systems to drive market
    • 9.4.5 JAPAN
      • 9.4.5.1 Focus on technological innovation, government support, and increasing awareness of AI's ethical and legal implications to bolster market growth
    • 9.4.6 SOUTH KOREA
      • 9.4.6.1 Investment in AI governance models to balance performance with cost efficiency to accelerate adoption of AI governance solutions
    • 9.4.7 SINGAPORE
      • 9.4.7.1 Introduction of Model AI Governance Framework combined with substantial investments in training programs for local professionals to boost market growth
    • 9.4.8 AUSTRALIA
      • 9.4.8.1 Rising adoption of AI technologies and establishment of National Artificial Intelligence Centre (NAIC) to fuel market growth
    • 9.4.9 REST OF ASIA PACIFIC
  • 9.5 MIDDLE EAST & AFRICA
    • 9.5.1 MIDDLE EAST & AFRICA: AI GOVERNANCE MARKET DRIVERS
    • 9.5.2 MIDDLE EAST & AFRICA: MACROECONOMIC OUTLOOK
    • 9.5.3 SAUDI ARABIA
      • 9.5.3.1 Focus on becoming global leader in AI through its Vision 2030 initiative to bolster market growth
    • 9.5.4 UAE
      • 9.5.4.1 Focus on digital transformation and implementation of UAE Artificial Intelligence Strategy 2031 to boost market growth
    • 9.5.5 QATAR
      • 9.5.5.1 Qatar's commitment to leveraging AI for economic diversification aligning with its National Vision 2030 to enhance market growth
    • 9.5.6 TURKEY
      • 9.5.6.1 Implementation of National Artificial Intelligence Strategy to foster demand for AI governance
    • 9.5.7 REST OF MIDDLE EAST
    • 9.5.8 AFRICA
      • 9.5.8.1 Need for ethical AI deployment, transparency, and regulatory oversight to foster adoption of AI governance
  • 9.6 LATIN AMERICA
    • 9.6.1 LATIN AMERICA: AI GOVERNANCE MARKET DRIVERS
    • 9.6.2 LATIN AMERICA: MACROECONOMIC OUTLOOK
    • 9.6.3 BRAZIL
      • 9.6.3.1 Need for regulatory frameworks, ethical guidelines, governance mechanisms, and evolving data protection landscape to boost market growth
    • 9.6.4 MEXICO
      • 9.6.4.1 Regulatory initiatives, technological advancements, and increasing investment in AI technologies to augment market growth
    • 9.6.5 ARGENTINA
      • 9.6.5.1 Robust technological talent pool nurtured by universities and research institutions to accelerate market growth
    • 9.6.6 REST OF LATIN AMERICA

10 COMPETITIVE LANDSCAPE

  • 10.1 OVERVIEW
  • 10.2 KEY PLAYER STRATEGIES/RIGHT TO WIN
  • 10.3 REVENUE ANALYSIS
  • 10.4 MARKET SHARE ANALYSIS
    • 10.4.1 MARKET RANKING ANALYSIS
  • 10.5 PRODUCT/BRAND COMPARISON
    • 10.5.1 AMAZON SAGEMAKER (AWS)
    • 10.5.2 DOMINO AI GOVERNANCE (DOMINO DATA LABS)
    • 10.5.3 EXPLAINABLE AI (GOOGLE)
    • 10.5.4 WATSONX.GOVERNANCE (IBM)
    • 10.5.5 CREDO AI GOVERNANCE PLATFORM (CREDO AI)
    • 10.5.6 GRACE LLM GOVERNANCE (2021.AI)
    • 10.5.7 ARTHUR BENCH (ARTHUR AI)
    • 10.5.8 PATRONUS AI SUITE (PATRONUS AI)
    • 10.5.9 LLM MESH (DATAIKU)
    • 10.5.10 GEN AI GOVERNANCE PLATFORM (PORTAL 26)
  • 10.6 COMPANY VALUATION AND FINANCIAL METRICS
  • 10.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023
    • 10.7.1 STARS
    • 10.7.2 EMERGING LEADERS
    • 10.7.3 PERVASIVE PLAYERS
    • 10.7.4 PARTICIPANTS
    • 10.7.5 COMPANY FOOTPRINT: KEY PLAYERS, 2023
      • 10.7.5.1 Company footprint
      • 10.7.5.2 Product type footprint
      • 10.7.5.3 Functionality footprint
      • 10.7.5.4 End-user footprint
      • 10.7.5.5 Regional footprint
  • 10.8 COMPANY EVALUATION MATRIX: START-UPS/SMES, 2023
    • 10.8.1 PROGRESSIVE COMPANIES
    • 10.8.2 RESPONSIVE COMPANIES
    • 10.8.3 DYNAMIC COMPANIES
    • 10.8.4 STARTING BLOCKS
    • 10.8.5 COMPETITIVE BENCHMARKING: START-UPS/SMES, 2023
      • 10.8.5.1 Detailed list of key start-ups/SMEs
      • 10.8.5.2 Competitive benchmarking of key start-ups/SMEs
  • 10.9 COMPETITIVE SCENARIO AND TRENDS
    • 10.9.1 PRODUCT LAUNCHES AND ENHANCEMENTS
    • 10.9.2 DEALS

11 COMPANY PROFILES

  • 11.1 INTRODUCTION
  • 11.2 KEY PLAYERS
    • 11.2.1 IBM
      • 11.2.1.1 Business overview
      • 11.2.1.2 Products/Solutions/Services offered
      • 11.2.1.3 Recent developments
        • 11.2.1.3.1 Product launches
        • 11.2.1.3.2 Deals
      • 11.2.1.4 MnM view
        • 11.2.1.4.1 Right to win
        • 11.2.1.4.2 Strategic choices
        • 11.2.1.4.3 Weaknesses and competitive threats
    • 11.2.2 MICROSOFT
      • 11.2.2.1 Business overview
      • 11.2.2.2 Products/Solutions/Services offered
      • 11.2.2.3 Recent developments
        • 11.2.2.3.1 Product launches
      • 11.2.2.4 MnM view
        • 11.2.2.4.1 Right to win
        • 11.2.2.4.2 Strategic choices
        • 11.2.2.4.3 Weaknesses and competitive threats
    • 11.2.3 GOOGLE
      • 11.2.3.1 Business overview
      • 11.2.3.2 Products/Solutions/Services offered
      • 11.2.3.3 MnM view
        • 11.2.3.3.1 Right to win
        • 11.2.3.3.2 Strategic choices
        • 11.2.3.3.3 Weaknesses and competitive threats
    • 11.2.4 SALESFORCE
      • 11.2.4.1 Business overview
      • 11.2.4.2 Products/Solutions/Services offered
      • 11.2.4.3 Recent developments
        • 11.2.4.3.1 Product launches
      • 11.2.4.4 MnM view
        • 11.2.4.4.1 Right to win
        • 11.2.4.4.2 Strategic choices
        • 11.2.4.4.3 Weaknesses and competitive threats
    • 11.2.5 SAP
      • 11.2.5.1 Business overview
      • 11.2.5.2 Products/Solutions/Services offered
      • 11.2.5.3 Recent developments
        • 11.2.5.3.1 Deals
      • 11.2.5.4 MnM view
        • 11.2.5.4.1 Right to win
        • 11.2.5.4.2 Strategic choices
        • 11.2.5.4.3 Weaknesses and competitive threats
    • 11.2.6 AWS
      • 11.2.6.1 Business overview
      • 11.2.6.2 Products/Solutions/Services offered
      • 11.2.6.3 Recent developments
        • 11.2.6.3.1 Product launches
        • 11.2.6.3.2 Deals
    • 11.2.7 SAS INSTITUTE
      • 11.2.7.1 Business overview
      • 11.2.7.2 Products/Solutions/Services offered
      • 11.2.7.3 Recent developments
        • 11.2.7.3.1 Product launches
    • 11.2.8 FICO
      • 11.2.8.1 Business overview
      • 11.2.8.2 Products/Solutions/Services offered
    • 11.2.9 META
      • 11.2.9.1 Business overview
      • 11.2.9.2 Products/Solutions/Services offered
      • 11.2.9.3 Recent developments
        • 11.2.9.3.1 Deals
    • 11.2.10 ACCENTURE
      • 11.2.10.1 Business overview
      • 11.2.10.2 Products/Solutions/Services offered
      • 11.2.10.3 Recent developments
        • 11.2.10.3.1 Deals
  • 11.3 OTHER PLAYERS
    • 11.3.1 ONETRUST
    • 11.3.2 QLIK
    • 11.3.3 H20.AI
    • 11.3.4 ALTERYX
    • 11.3.5 DATAROBOT
    • 11.3.6 DATAIKU
    • 11.3.7 DOMINO DATA LABS
    • 11.3.8 SPARKCOGNITION
    • 11.3.9 COLLIBRA
    • 11.3.10 QUEST SOFTWARE
  • 11.4 START-UPS/SMES
    • 11.4.1 MONITAUR
      • 11.4.1.1 Business overview
      • 11.4.1.2 Products/Solutions/Services offered
      • 11.4.1.3 Recent developments
        • 11.4.1.3.1 Deals
    • 11.4.2 FIDDLER AI
    • 11.4.3 UNTANGLE AI
    • 11.4.4 2021.AI
    • 11.4.5 HOWSO
    • 11.4.6 MIND FOUNDRY
    • 11.4.7 CREDO AI
    • 11.4.8 HOLISTIC AI
    • 11.4.9 FAIRLY AI
    • 11.4.10 ENZAI
    • 11.4.11 VALIDMIND
    • 11.4.12 FAIRNOW
    • 11.4.13 MONA LABS
    • 11.4.14 ARTHUR AI
    • 11.4.15 TRUSTIBLE
    • 11.4.16 ATLAN
    • 11.4.17 MODELOP
    • 11.4.18 NEPTUNE.AI
    • 11.4.19 PATRONUS AI
    • 11.4.20 DATATRON

12 ADJACENT AND RELATED MARKETS

  • 12.1 INTRODUCTION
  • 12.2 AI MODEL RISK MANAGEMENT MARKET - GLOBAL FORECAST TO 2029
    • 12.2.1 MARKET DEFINITION
    • 12.2.2 MARKET OVERVIEW
      • 12.2.2.1 AI model risk management market, by offering
      • 12.2.2.2 AI model risk management market, by risk type
      • 12.2.2.3 AI model risk management market, by application
      • 12.2.2.4 AI model risk management market, by vertical
      • 12.2.2.5 AI model risk management market, by region
  • 12.3 ARTIFICIAL INTELLIGENCE (AI) MARKET - GLOBAL FORECAST TO 2030
    • 12.3.1 MARKET DEFINITION
    • 12.3.2 MARKET OVERVIEW
      • 12.3.2.1 Artificial intelligence market, by offering
      • 12.3.2.2 Artificial intelligence market, by business function
      • 12.3.2.3 Artificial intelligence market, by technology
      • 12.3.2.4 Artificial intelligence market, by vertical
      • 12.3.2.5 Artificial intelligence market, by region

13 APPENDIX

  • 13.1 DISCUSSION GUIDE
  • 13.2 KNOWLEDGESTORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
  • 13.3 CUSTOMIZATION OPTIONS
  • 13.4 RELATED REPORTS
  • 13.5 AUTHOR DETAILS

List of Tables

  • TABLE 1 DETAILED SEGMENTATION OF AI GOVERNANCE MARKET
  • TABLE 2 UNITED STATES DOLLAR EXCHANGE RATE, 2019-2023
  • TABLE 3 LIST OF PRIMARY INTERVIEWS
  • TABLE 4 FACTOR ANALYSIS
  • TABLE 5 GLOBAL AI GOVERNANCE MARKET SIZE AND GROWTH RATE, 2019-2023 (USD MILLION, Y-O-Y)
  • TABLE 6 GLOBAL AI GOVERNANCE MARKET SIZE AND GROWTH RATE, 2024-2029 (USD MILLION, Y-O-Y)
  • TABLE 7 PRICING DATA OF AI GOVERNANCE SOLUTIONS, BY PRODUCT TYPE
  • TABLE 8 PRICING DATA OF AI GOVERNANCE SOLUTIONS, BY FUNCTIONALITY
  • TABLE 9 AI GOVERNANCE MARKET: ECOSYSTEM
  • TABLE 10 PATENTS FILED, 2015-2024
  • TABLE 11 TOP 20 PATENT OWNERS IN AI GOVERNANCE MARKET, 2015-2024
  • TABLE 12 LIST OF FEW PATENTS IN AI GOVERNANCE MARKET, 2022-2024
  • TABLE 13 AI GOVERNANCE MARKET: DETAILED LIST OF CONFERENCES & EVENTS, 2024-2025
  • TABLE 14 NORTH AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 15 EUROPE: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 16 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 17 MIDDLE EAST & AFRICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 18 LATIN AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 19 PORTERS' FIVE FORCES' IMPACT ON AI GOVERNANCE MARKET
  • TABLE 20 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE END USERS
  • TABLE 21 KEY BUYING CRITERIA FOR TOP THREE END USERS
  • TABLE 22 AI GOVERNANCE MARKET, BY PRODUCT TYPE, 2019-2023 (USD MILLION)
  • TABLE 23 AI GOVERNANCE MARKET, BY PRODUCT TYPE, 2024-2029 (USD MILLION)
  • TABLE 24 DATA PRIVACY TOOLS: AI GOVERNANCE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 25 DATA PRIVACY TOOLS: AI GOVERNANCE MARKET, BY REGION, 2024-2029 (USD MILLION)
  • TABLE 26 END-TO-END AI GOVERNANCE PLATFORMS: AI GOVERNANCE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 27 END-TO-END AI GOVERNANCE PLATFORMS: AI GOVERNANCE MARKET, BY REGION, 2024-2029 (USD MILLION)
  • TABLE 28 DATA GOVERNANCE PLATFORMS: AI GOVERNANCE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 29 DATA GOVERNANCE PLATFORMS: AI GOVERNANCE MARKET, BY REGION, 2024-2029 (USD MILLION)
  • TABLE 30 MLOPS TOOLS: AI GOVERNANCE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 31 MLOPS TOOLS: AI GOVERNANCE MARKET, BY REGION, 2024-2029 (USD MILLION)
  • TABLE 32 MODEL DEVELOPMENT: AI GOVERNANCE MARKET, BY REGION, 2019-2023 (USD THOUSAND)
  • TABLE 33 MODEL DEVELOPMENT: AI GOVERNANCE MARKET, BY REGION, 2024-2029 (USD THOUSAND)
  • TABLE 34 MODEL DEPLOYMENT: AI GOVERNANCE MARKET, BY REGION, 2019-2023 (USD THOUSAND)
  • TABLE 35 MODEL DEPLOYMENT: AI GOVERNANCE MARKET, BY REGION, 2024-2029 (USD THOUSAND)
  • TABLE 36 MODEL MONITORING: AI GOVERNANCE MARKET, BY REGION, 2019-2023 (USD THOUSAND)
  • TABLE 37 MODEL MONITORING: AI GOVERNANCE MARKET, BY REGION, 2024-2029 (USD THOUSAND)
  • TABLE 38 LLMOPS TOOLS: AI GOVERNANCE MARKET, BY REGION, 2019-2023 (USD THOUSAND)
  • TABLE 39 LLMOPS TOOLS: AI GOVERNANCE MARKET, BY REGION, 2024-2029 (USD THOUSAND)
  • TABLE 40 RESPONSIBLE AI TOOLKITS: AI GOVERNANCE MARKET, BY REGION, 2019-2023 (USD THOUSAND)
  • TABLE 41 RESPONSIBLE AI TOOLKITS: AI GOVERNANCE MARKET, BY REGION, 2024-2029 (USD THOUSAND)
  • TABLE 42 AI GOVERNANCE CONSULTING SERVICES: AI GOVERNANCE MARKET, BY REGION, 2019-2023 (USD THOUSAND)
  • TABLE 43 AI GOVERNANCE CONSULTING SERVICES: AI GOVERNANCE MARKET, BY REGION, 2024-2029 (USD THOUSAND)
  • TABLE 44 AI GOVERNANCE AS A SERVICE: AI GOVERNANCE MARKET, BY REGION, 2019-2023 (USD THOUSAND)
  • TABLE 45 AI GOVERNANCE AS A SERVICE: AI GOVERNANCE MARKET, BY REGION, 2024-2029 (USD THOUSAND)
  • TABLE 46 AI GOVERNANCE MARKET, BY FUNCTIONALITY, 2019-2023 (USD MILLION)
  • TABLE 47 AI GOVERNANCE MARKET, BY FUNCTIONALITY, 2024-2029 (USD MILLION)
  • TABLE 48 MODEL LIFECYCLE MANAGEMENT: AI GOVERNANCE MARKET, BY TYPE, 2019-2023 (USD MILLION)
  • TABLE 49 MODEL LIFECYCLE MANAGEMENT: AI GOVERNANCE MARKET, BY TYPE, 2024-2029 (USD MILLION)
  • TABLE 50 AUTOMATED VERSIONING: AI GOVERNANCE MARKET, BY REGION, 2019-2023 (USD THOUSAND)
  • TABLE 51 AUTOMATED VERSIONING: AI GOVERNANCE MARKET, BY REGION, 2024-2029 (USD THOUSAND)
  • TABLE 52 MODEL-IN-PRODUCTION MANAGEMENT: AI GOVERNANCE MARKET, BY REGION, 2019-2023 (USD THOUSAND)
  • TABLE 53 MODEL-IN-PRODUCTION MANAGEMENT: AI GOVERNANCE MARKET, BY REGION, 2024-2029 (USD THOUSAND)
  • TABLE 54 AI INVENTORY MANAGEMENT: AI GOVERNANCE MARKET, BY REGION, 2019-2023 (USD THOUSAND)
  • TABLE 55 AI INVENTORY MANAGEMENT: AI GOVERNANCE MARKET, BY REGION, 2024-2029 (USD THOUSAND)
  • TABLE 56 MODEL DIVERGENCE DETECTION: AI GOVERNANCE MARKET, BY REGION, 2019-2023 (USD THOUSAND)
  • TABLE 57 MODEL DIVERGENCE DETECTION: AI GOVERNANCE MARKET, BY REGION, 2024-2029 (USD THOUSAND)
  • TABLE 58 RISK MANAGEMENT & COMPLIANCE: AI GOVERNANCE MARKET, BY TYPE, 2019-2023 (USD MILLION)
  • TABLE 59 RISK MANAGEMENT & COMPLIANCE: AI GOVERNANCE MARKET, BY TYPE, 2024-2029 (USD MILLION)
  • TABLE 60 MODEL RISK MANAGEMENT: AI GOVERNANCE MARKET, BY REGION, 2019-2023 (USD THOUSAND)
  • TABLE 61 MODEL RISK MANAGEMENT: AI GOVERNANCE MARKET, BY REGION, 2024-2029 (USD THOUSAND)
  • TABLE 62 REGULATORY COMPLIANCE: AI GOVERNANCE MARKET, BY REGION, 2019-2023 (USD THOUSAND)
  • TABLE 63 REGULATORY COMPLIANCE: AI GOVERNANCE MARKET, BY REGION, 2024-2029 (USD THOUSAND)
  • TABLE 64 RISK IDENTIFICATION & MITIGATION: AI GOVERNANCE MARKET, BY REGION, 2019-2023 (USD THOUSAND)
  • TABLE 65 RISK IDENTIFICATION & MITIGATION: AI GOVERNANCE MARKET, BY REGION, 2024-2029 (USD THOUSAND)
  • TABLE 66 THIRD-PARTY RISK EVALUATION: AI GOVERNANCE MARKET, BY REGION, 2019-2023 (USD THOUSAND)
  • TABLE 67 THIRD-PARTY RISK EVALUATION: AI GOVERNANCE MARKET, BY REGION, 2024-2029 (USD THOUSAND)
  • TABLE 68 MONITORING & AUDITING: AI GOVERNANCE MARKET, BY TYPE, 2019-2023 (USD MILLION)
  • TABLE 69 MONITORING & AUDITING: AI GOVERNANCE MARKET, BY TYPE, 2024-2029 (USD MILLION)
  • TABLE 70 AI MODEL MONITORING: AI GOVERNANCE MARKET, BY REGION, 2019-2023 (USD THOUSAND)
  • TABLE 71 AI MODEL MONITORING: AI GOVERNANCE MARKET, BY REGION, 2024-2029 (USD THOUSAND)
  • TABLE 72 DRIFT & BIAS MITIGATION: AI GOVERNANCE MARKET, BY REGION, 2019-2023 (USD THOUSAND)
  • TABLE 73 DRIFT & BIAS MITIGATION: AI GOVERNANCE MARKET, BY REGION, 2024-2029 (USD THOUSAND)
  • TABLE 74 ANOMALY DETECTION: AI GOVERNANCE MARKET, BY REGION, 2019-2023 (USD THOUSAND)
  • TABLE 75 ANOMALY DETECTION: AI GOVERNANCE MARKET, BY REGION, 2024-2029 (USD THOUSAND)
  • TABLE 76 PERFORMANCE DEGRADATION ALERTS: AI GOVERNANCE MARKET, BY REGION, 2019-2023 (USD THOUSAND)
  • TABLE 77 PERFORMANCE DEGRADATION ALERTS: AI GOVERNANCE MARKET, BY REGION, 2024-2029 (USD THOUSAND)
  • TABLE 78 TRANSPARENCY & EXPLAINABILITY: AI GOVERNANCE MARKET, BY TYPE, 2019-2023 (USD MILLION)
  • TABLE 79 TRANSPARENCY & EXPLAINABILITY: AI GOVERNANCE MARKET, BY TYPE, 2024-2029 (USD MILLION)
  • TABLE 80 MODEL PREDICTION EXPLAINABILITY: AI GOVERNANCE MARKET, BY REGION, 2019-2023 (USD THOUSAND)
  • TABLE 81 MODEL PREDICTION EXPLAINABILITY: AI GOVERNANCE MARKET, BY REGION, 2024-2029 (USD THOUSAND)
  • TABLE 82 MODEL TRANSPARENCY: AI GOVERNANCE MARKET, BY REGION, 2019-2023 (USD THOUSAND)
  • TABLE 83 MODEL TRANSPARENCY: AI GOVERNANCE MARKET, BY REGION, 2024-2029 (USD THOUSAND)
  • TABLE 84 MODEL DOCUMENTATION & REPORTING: AI GOVERNANCE MARKET, BY REGION, 2019-2023 (USD THOUSAND)
  • TABLE 85 MODEL DOCUMENTATION & REPORTING: AI GOVERNANCE MARKET, BY REGION, 2024-2029 (USD THOUSAND)
  • TABLE 86 DATA GOVERNANCE: AI GOVERNANCE MARKET, BY TYPE, 2019-2023 (USD MILLION)
  • TABLE 87 DATA GOVERNANCE: AI GOVERNANCE MARKET, BY TYPE, 2024-2029 (USD MILLION)
  • TABLE 88 DATA LINEAGE: AI GOVERNANCE MARKET, BY REGION, 2019-2023 (USD THOUSAND)
  • TABLE 89 DATA LINEAGE: AI GOVERNANCE MARKET, BY REGION, 2024-2029 (USD THOUSAND)
  • TABLE 90 DATA DISCOVERY & CLASSIFICATION: AI GOVERNANCE MARKET, BY REGION, 2019-2023 (USD THOUSAND)
  • TABLE 91 DATA DISCOVERY & CLASSIFICATION: AI GOVERNANCE MARKET, BY REGION, 2024-2029 (USD THOUSAND)
  • TABLE 92 DATA PROVENANCE: AI GOVERNANCE MARKET, BY REGION, 2019-2023 (USD THOUSAND)
  • TABLE 93 DATA PROVENANCE: AI GOVERNANCE MARKET, BY REGION, 2024-2029 (USD THOUSAND)
  • TABLE 94 ETHICS & RESPONSIBLE AI: AI GOVERNANCE MARKET, BY TYPE, 2019-2023 (USD THOUSAND)
  • TABLE 95 ETHICS & RESPONSIBLE AI: AI GOVERNANCE MARKET, BY TYPE, 2024-2029 (USD THOUSAND)
  • TABLE 96 AI POLICY CREATION: AI GOVERNANCE MARKET, BY REGION, 2019-2023 (USD THOUSAND)
  • TABLE 97 AI POLICY CREATION: AI GOVERNANCE MARKET, BY REGION, 2024-2029 (USD THOUSAND)
  • TABLE 98 POLICY BREACH ALERTS: AI GOVERNANCE MARKET, BY REGION, 2019-2023 (USD THOUSAND)
  • TABLE 99 POLICY BREACH ALERTS: AI GOVERNANCE MARKET, BY REGION, 2024-2029 (USD THOUSAND)
  • TABLE 100 AI ETHICS MANAGEMENT: AI GOVERNANCE MARKET, BY REGION, 2019-2023 (USD THOUSAND)
  • TABLE 101 AI ETHICS MANAGEMENT: AI GOVERNANCE MARKET, BY REGION, 2024-2029 (USD THOUSAND)
  • TABLE 102 ADHERENCE VALIDATION: AI GOVERNANCE MARKET, BY REGION, 2019-2023 (USD THOUSAND)
  • TABLE 103 ADHERENCE VALIDATION: AI GOVERNANCE MARKET, BY REGION, 2024-2029 (USD THOUSAND)
  • TABLE 104 AI REGISTRY: AI GOVERNANCE MARKET, BY REGION, 2019-2023 (USD THOUSAND)
  • TABLE 105 AI REGISTRY AI GOVERNANCE MARKET, BY REGION, 2024-2029 (USD THOUSAND)
  • TABLE 106 OTHER FUNCTIONALITY TYPES: AI GOVERNANCE MARKET, BY REGION, 2019-2023 (USD THOUSAND)
  • TABLE 107 OTHER FUNCTIONALITY TYPES: AI GOVERNANCE MARKET, BY REGION, 2024-2029 (USD THOUSAND)
  • TABLE 108 AI GOVERNANCE MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 109 AI GOVERNANCE MARKET, BY END USER, 2024-2029 (USD MILLION)
  • TABLE 110 BFSI: AI GOVERNANCE MARKET, BY TYPE, 2019-2023 (USD MILLION)
  • TABLE 111 BFSI: AI GOVERNANCE MARKET, BY TYPE, 2024-2029 (USD MILLION)
  • TABLE 112 BANKING: AI GOVERNANCE MARKET, BY REGION, 2019-2023 (USD THOUSAND)
  • TABLE 113 BANKING: AI GOVERNANCE MARKET, BY REGION, 2024-2029 (USD THOUSAND)
  • TABLE 114 FINANCIAL SERVICES: AI GOVERNANCE MARKET, BY REGION, 2019-2023 (USD THOUSAND)
  • TABLE 115 FINANCIAL SERVICES: AI GOVERNANCE MARKET, BY REGION, 2024-2029 (USD THOUSAND)
  • TABLE 116 INSURANCE: AI GOVERNANCE MARKET, BY REGION, 2019-2023 (USD THOUSAND)
  • TABLE 117 INSURANCE: AI GOVERNANCE MARKET, BY REGION, 2024-2029 (USD THOUSAND)
  • TABLE 118 TELECOMMUNICATIONS: AI GOVERNANCE MARKET, BY REGION, 2019-2023 (USD THOUSAND)
  • TABLE 119 TELECOMMUNICATIONS: AI GOVERNANCE MARKET, BY REGION, 2024-2029 (USD THOUSAND)
  • TABLE 120 GOVERNMENT & DEFENSE: AI GOVERNANCE MARKET, BY REGION, 2019-2023 (USD THOUSAND)
  • TABLE 121 GOVERNMENT & DEFENSE: AI GOVERNANCE MARKET, BY REGION, 2024-2029 (USD THOUSAND)
  • TABLE 122 HEALTHCARE & LIFE SCIENCES: AI GOVERNANCE MARKET, BY REGION, 2019-2023 (USD THOUSAND)
  • TABLE 123 HEALTHCARE & LIFE SCIENCES: AI GOVERNANCE MARKET, BY REGION, 2024-2029 (USD THOUSAND)
  • TABLE 124 MANUFACTURING: AI GOVERNANCE MARKET, BY REGION, 2019-2023 (USD THOUSAND)
  • TABLE 125 MANUFACTURING: AI GOVERNANCE MARKET, BY REGION, 2024-2029 (USD THOUSAND)
  • TABLE 126 RETAIL & CONSUMER GOODS: AI GOVERNANCE MARKET, BY REGION, 2019-2023 (USD THOUSAND)
  • TABLE 127 RETAIL & CONSUMER GOODS: AI GOVERNANCE MARKET, BY REGION, 2024-2029 (USD THOUSAND)
  • TABLE 128 SOFTWARE & TECHNOLOGY PROVIDERS: AI GOVERNANCE MARKET, BY TYPE, 2019-2023 (USD MILLION)
  • TABLE 129 SOFTWARE & TECHNOLOGY PROVIDERS: AI GOVERNANCE MARKET, BY TYPE, 2024-2029 (USD MILLION)
  • TABLE 130 SOFTWARE & TECHNOLOGY PROVIDERS: AI GOVERNANCE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 131 SOFTWARE & TECHNOLOGY PROVIDERS: AI GOVERNANCE MARKET, BY REGION, 2024-2029 (USD MILLION)
  • TABLE 132 CLOUD HYPERSCALERS: AI GOVERNANCE MARKET, BY REGION, 2019-2023 (USD THOUSAND)
  • TABLE 133 CLOUD HYPERSCALERS: AI GOVERNANCE MARKET, BY REGION, 2024-2029 (USD THOUSAND)
  • TABLE 134 FOUNDATION MODEL/LLM PROVIDERS: AI GOVERNANCE MARKET, BY REGION, 2019-2023 (USD THOUSAND)
  • TABLE 135 FOUNDATION MODEL/LLM PROVIDERS: AI GOVERNANCE MARKET, BY REGION, 2024-2029 (USD THOUSAND)
  • TABLE 136 DATA ANNOTATORS: AI GOVERNANCE MARKET, BY REGION, 2019-2023 (USD THOUSAND)
  • TABLE 137 DATA ANNOTATORS: AI GOVERNANCE MARKET, BY REGION, 2024-2029 (USD THOUSAND)
  • TABLE 138 AI TRAINING DATASET PROVIDERS: AI GOVERNANCE MARKET, BY REGION, 2019-2023 (USD THOUSAND)
  • TABLE 139 AI TRAINING DATASET PROVIDERS: AI GOVERNANCE MARKET, BY REGION, 2024-2029 (USD THOUSAND)
  • TABLE 140 IT & IT-ENABLED SERVICE PROVIDERS: AI GOVERNANCE MARKET, BY REGION, 2019-2023 (USD THOUSAND)
  • TABLE 141 IT & IT-ENABLED SERVICE PROVIDERS: AI GOVERNANCE MARKET, BY REGION, 2024-2029 (USD THOUSAND)
  • TABLE 142 AUTOMOTIVE: AI GOVERNANCE MARKET, BY REGION, 2019-2023 (USD THOUSAND)
  • TABLE 143 AUTOMOTIVE: AI GOVERNANCE MARKET, BY REGION, 2024-2029 (USD THOUSAND)
  • TABLE 144 MEDIA & ENTERTAINMENT: AI GOVERNANCE MARKET, BY REGION, 2019-2023 (USD THOUSAND)
  • TABLE 145 MEDIA & ENTERTAINMENT: AI GOVERNANCE MARKET, BY REGION, 2024-2029 (USD THOUSAND)
  • TABLE 146 OTHER END USERS: AI GOVERNANCE MARKET, BY REGION, 2019-2023 (USD THOUSAND)
  • TABLE 147 OTHER END USERS: AI GOVERNANCE MARKET, BY REGION, 2024-2029 (USD THOUSAND)
  • TABLE 148 AI GOVERNANCE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 149 AI GOVERNANCE MARKET, BY REGION, 2024-2029 (USD MILLION)
  • TABLE 150 NORTH AMERICA: AI GOVERNANCE MARKET, BY PRODUCT TYPE, 2019-2023 (USD MILLION)
  • TABLE 151 NORTH AMERICA: AI GOVERNANCE MARKET, BY PRODUCT TYPE, 2024-2029 (USD MILLION)
  • TABLE 152 NORTH AMERICA: AI GOVERNANCE MARKET, BY FUNCTIONALITY, 2019-2023 (USD MILLION)
  • TABLE 153 NORTH AMERICA: AI GOVERNANCE MARKET, BY FUNCTIONALITY, 2024-2029 (USD MILLION)
  • TABLE 154 NORTH AMERICA: AI GOVERNANCE MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 155 NORTH AMERICA: AI GOVERNANCE MARKET, BY END USER, 2024-2029 (USD MILLION)
  • TABLE 156 NORTH AMERICA: AI GOVERNANCE MARKET, BY COUNTRY, 2019-2023 (USD MILLION)
  • TABLE 157 NORTH AMERICA: AI GOVERNANCE MARKET, BY COUNTRY, 2024-2029 (USD MILLION)
  • TABLE 158 US: AI GOVERNANCE MARKET, BY PRODUCT TYPE, 2019-2023 (USD MILLION)
  • TABLE 159 US: AI GOVERNANCE MARKET, BY PRODUCT TYPE, 2024-2029 (USD MILLION)
  • TABLE 160 CANADA: AI GOVERNANCE MARKET, BY PRODUCT TYPE, 2019-2023 (USD THOUSAND)
  • TABLE 161 CANADA: AI GOVERNANCE MARKET, BY PRODUCT TYPE, 2024-2029 (USD THOUSAND)
  • TABLE 162 EUROPE: AI GOVERNANCE MARKET, BY PRODUCT TYPE, 2019-2023 (USD MILLION)
  • TABLE 163 EUROPE: AI GOVERNANCE MARKET, BY PRODUCT TYPE, 2024-2029 (USD MILLION)
  • TABLE 164 EUROPE: AI GOVERNANCE MARKET, BY FUNCTIONALITY, 2019-2023 (USD MILLION)
  • TABLE 165 EUROPE: AI GOVERNANCE MARKET, BY FUNCTIONALITY, 2024-2029 (USD MILLION)
  • TABLE 166 EUROPE: AI GOVERNANCE MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 167 EUROPE: AI GOVERNANCE MARKET, BY END USER, 2024-2029 (USD MILLION)
  • TABLE 168 EUROPE: AI GOVERNANCE MARKET, BY COUNTRY, 2019-2023 (USD MILLION)
  • TABLE 169 EUROPE: AI GOVERNANCE MARKET, BY COUNTRY, 2024-2029 (USD MILLION)
  • TABLE 170 UK: AI GOVERNANCE MARKET, BY PRODUCT TYPE, 2019-2023 (USD THOUSAND)
  • TABLE 171 UK: AI GOVERNANCE MARKET, BY PRODUCT TYPE, 2024-2029 (USD THOUSAND)
  • TABLE 172 GERMANY: AI GOVERNANCE MARKET, BY PRODUCT TYPE, 2019-2023 (USD THOUSAND)
  • TABLE 173 GERMANY: AI GOVERNANCE MARKET, BY PRODUCT TYPE, 2024-2029 (USD THOUSAND)
  • TABLE 174 FRANCE: AI GOVERNANCE MARKET, BY PRODUCT TYPE, 2019-2023 (USD THOUSAND)
  • TABLE 175 FRANCE: AI GOVERNANCE MARKET, BY PRODUCT TYPE, 2024-2029 (USD THOUSAND)
  • TABLE 176 ITALY: AI GOVERNANCE MARKET, BY PRODUCT TYPE, 2019-2023 (USD THOUSAND)
  • TABLE 177 ITALY: AI GOVERNANCE MARKET, BY PRODUCT TYPE, 2024-2029 (USD THOUSAND)
  • TABLE 178 SPAIN: AI GOVERNANCE MARKET, BY PRODUCT TYPE, 2019-2023 (USD THOUSAND)
  • TABLE 179 SPAIN: AI GOVERNANCE MARKET, BY PRODUCT TYPE, 2024-2029 (USD THOUSAND)
  • TABLE 180 NETHERLANDS: AI GOVERNANCE MARKET, BY PRODUCT TYPE, 2019-2023 (USD THOUSAND)
  • TABLE 181 NETHERLANDS: AI GOVERNANCE MARKET, BY PRODUCT TYPE, 2024-2029 (USD THOUSAND)
  • TABLE 182 REST OF EUROPE: AI GOVERNANCE MARKET, BY PRODUCT TYPE, 2019-2023 (USD THOUSAND)
  • TABLE 183 REST OF EUROPE: AI GOVERNANCE MARKET, BY PRODUCT TYPE, 2024-2029 (USD THOUSAND)
  • TABLE 184 ASIA PACIFIC: AI GOVERNANCE MARKET, BY PRODUCT TYPE, 2019-2023 (USD MILLION)
  • TABLE 185 ASIA PACIFIC: AI GOVERNANCE MARKET, BY PRODUCT TYPE, 2024-2029 (USD MILLION)
  • TABLE 186 ASIA PACIFIC: AI GOVERNANCE MARKET, BY FUNCTIONALITY, 2019-2023 (USD MILLION)
  • TABLE 187 ASIA PACIFIC: AI GOVERNANCE MARKET, BY FUNCTIONALITY, 2024-2029 (USD MILLION)
  • TABLE 188 ASIA PACIFIC: AI GOVERNANCE MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 189 ASIA PACIFIC: AI GOVERNANCE MARKET, BY END USER, 2024-2029 (USD MILLION)
  • TABLE 190 ASIA PACIFIC: AI GOVERNANCE MARKET, BY COUNTRY, 2019-2023 (USD MILLION)
  • TABLE 191 ASIA PACIFIC: AI GOVERNANCE MARKET, BY COUNTRY, 2024-2029 (USD MILLION)
  • TABLE 192 CHINA: AI GOVERNANCE MARKET, BY PRODUCT TYPE, 2019-2023 (USD THOUSAND)
  • TABLE 193 CHINA: AI GOVERNANCE MARKET, BY PRODUCT TYPE, 2024-2029 (USD THOUSAND)
  • TABLE 194 INDIA: AI GOVERNANCE MARKET, BY PRODUCT TYPE, 2019-2023 (USD THOUSAND)
  • TABLE 195 INDIA: AI GOVERNANCE MARKET, BY PRODUCT TYPE, 2024-2029 (USD THOUSAND)
  • TABLE 196 JAPAN: AI GOVERNANCE MARKET, BY PRODUCT TYPE, 2019-2023 (USD THOUSAND)
  • TABLE 197 JAPAN: AI GOVERNANCE MARKET, BY PRODUCT TYPE, 2024-2029 (USD THOUSAND)
  • TABLE 198 SOUTH KOREA: AI GOVERNANCE MARKET, BY PRODUCT TYPE, 2019-2023 (USD THOUSAND)
  • TABLE 199 SOUTH KOREA: AI GOVERNANCE MARKET, BY PRODUCT TYPE, 2024-2029 (USD THOUSAND)
  • TABLE 200 SINGAPORE: AI GOVERNANCE MARKET, BY PRODUCT TYPE, 2019-2023 (USD THOUSAND)
  • TABLE 201 SINGAPORE: AI GOVERNANCE MARKET, BY PRODUCT TYPE, 2024-2029 (USD THOUSAND)
  • TABLE 202 AUSTRALIA: AI GOVERNANCE MARKET, BY PRODUCT TYPE, 2019-2023 (USD THOUSAND)
  • TABLE 203 AUSTRALIA: AI GOVERNANCE MARKET, BY PRODUCT TYPE, 2024-2029 (USD THOUSAND)
  • TABLE 204 REST OF ASIA PACIFIC: AI GOVERNANCE MARKET, BY PRODUCT TYPE, 2019-2023 (USD THOUSAND)
  • TABLE 205 REST OF ASIA PACIFIC: AI GOVERNANCE MARKET, BY PRODUCT TYPE, 2024-2029 (USD THOUSAND)
  • TABLE 206 MIDDLE EAST & AFRICA: AI GOVERNANCE MARKET, BY PRODUCT TYPE, 2019-2023 (USD THOUSAND)
  • TABLE 207 MIDDLE EAST & AFRICA: AI GOVERNANCE MARKET, BY PRODUCT TYPE, 2024-2029 (USD THOUSAND)
  • TABLE 208 MIDDLE EAST & AFRICA: AI GOVERNANCE MARKET, BY FUNCTIONALITY, 2019-2023 (USD THOUSAND)
  • TABLE 209 MIDDLE EAST & AFRICA: AI GOVERNANCE MARKET, BY FUNCTIONALITY, 2024-2029 (USD THOUSAND)
  • TABLE 210 MIDDLE EAST & AFRICA: AI GOVERNANCE MARKET, BY END USER, 2019-2023 (USD THOUSAND)
  • TABLE 211 MIDDLE EAST & AFRICA: AI GOVERNANCE MARKET, BY END USER, 2024-2029 (USD THOUSAND)
  • TABLE 212 MIDDLE EAST & AFRICA: AI GOVERNANCE MARKET, BY COUNTRY, 2019-2023 (USD THOUSAND)
  • TABLE 213 MIDDLE EAST & AFRICA: AI GOVERNANCE MARKET, BY COUNTRY, 2024-2029 (USD THOUSAND)
  • TABLE 214 SAUDI ARABIA: AI GOVERNANCE MARKET, BY PRODUCT TYPE, 2019-2023 (USD THOUSAND)
  • TABLE 215 SAUDI ARABIA: AI GOVERNANCE MARKET, BY PRODUCT TYPE, 2024-2029 (USD THOUSAND)
  • TABLE 216 UAE: AI GOVERNANCE MARKET, BY PRODUCT TYPE, 2019-2023 (USD THOUSAND)
  • TABLE 217 UAE: AI GOVERNANCE MARKET, BY PRODUCT TYPE, 2024-2029 (USD THOUSAND)
  • TABLE 218 QATAR: AI GOVERNANCE MARKET, BY PRODUCT TYPE, 2019-2023 (USD THOUSAND)
  • TABLE 219 QATAR: AI GOVERNANCE MARKET, BY PRODUCT TYPE, 2024-2029 (USD THOUSAND)
  • TABLE 220 TURKEY: AI GOVERNANCE MARKET, BY PRODUCT TYPE, 2019-2023 (USD THOUSAND)
  • TABLE 221 TURKEY: AI GOVERNANCE MARKET, BY PRODUCT TYPE, 2024-2029 (USD THOUSAND)
  • TABLE 222 REST OF MIDDLE EAST: AI GOVERNANCE MARKET, BY PRODUCT TYPE, 2019-2023 (USD THOUSAND)
  • TABLE 223 REST OF MIDDLE EAST: AI GOVERNANCE MARKET, BY PRODUCT TYPE, 2024-2029 (USD THOUSAND)
  • TABLE 224 AFRICA: AI GOVERNANCE MARKET, BY PRODUCT TYPE, 2019-2023 (USD THOUSAND)
  • TABLE 225 AFRICA: AI GOVERNANCE MARKET, BY PRODUCT TYPE, 2024-2029 (USD THOUSAND)
  • TABLE 226 LATIN AMERICA: AI GOVERNANCE MARKET, BY PRODUCT TYPE, 2019-2023 (USD THOUSAND)
  • TABLE 227 LATIN AMERICA: AI GOVERNANCE MARKET, BY PRODUCT TYPE, 2024-2029 (USD THOUSAND)
  • TABLE 228 LATIN AMERICA: AI GOVERNANCE MARKET, BY FUNCTIONALITY, 2019-2023 (USD THOUSAND)
  • TABLE 229 LATIN AMERICA: AI GOVERNANCE MARKET, BY FUNCTIONALITY, 2024-2029 (USD THOUSAND)
  • TABLE 230 LATIN AMERICA: AI GOVERNANCE MARKET, BY END USER, 2019-2023 (USD THOUSAND)
  • TABLE 231 LATIN AMERICA: AI GOVERNANCE MARKET, BY END USER, 2024-2029 (USD THOUSAND)
  • TABLE 232 LATIN AMERICA: AI GOVERNANCE MARKET, BY COUNTRY, 2019-2023 (USD THOUSAND)
  • TABLE 233 LATIN AMERICA: AI GOVERNANCE MARKET, BY COUNTRY, 2024-2029 (USD THOUSAND)
  • TABLE 234 BRAZIL: AI GOVERNANCE MARKET, BY PRODUCT TYPE, 2019-2023 (USD THOUSAND)
  • TABLE 235 BRAZIL: AI GOVERNANCE MARKET, BY PRODUCT TYPE, 2024-2029 (USD THOUSAND)
  • TABLE 236 MEXICO: AI GOVERNANCE MARKET, BY PRODUCT TYPE, 2019-2023 (USD THOUSAND)
  • TABLE 237 MEXICO: AI GOVERNANCE MARKET, BY PRODUCT TYPE, 2024-2029 (USD THOUSAND)
  • TABLE 238 ARGENTINA: AI GOVERNANCE MARKET, BY PRODUCT TYPE, 2019-2023 (USD THOUSAND)
  • TABLE 239 ARGENTINA: AI GOVERNANCE MARKET, BY PRODUCT TYPE, 2024-2029 (USD THOUSAND)
  • TABLE 240 REST OF LATIN AMERICA: AI GOVERNANCE MARKET, BY PRODUCT TYPE, 2019-2023 (USD THOUSAND)
  • TABLE 241 REST OF LATIN AMERICA: AI GOVERNANCE MARKET, BY PRODUCT TYPE, 2024-2029 (USD THOUSAND)
  • TABLE 242 AI GOVERNANCE MARKET: DEGREE OF COMPETITION
  • TABLE 243 PRODUCT TYPE FOOTPRINT (19 COMPANIES)
  • TABLE 244 FUNCTIONALITY FOOTPRINT (19 COMPANIES)
  • TABLE 245 END-USER FOOTPRINT (19 COMPANIES)
  • TABLE 246 REGIONAL FOOTPRINT (19 COMPANIES)
  • TABLE 247 AI GOVERNANCE MARKET: KEY START-UPS/SMES
  • TABLE 248 AI GOVERNANCE MARKET: COMPETITIVE BENCHMARKING OF KEY START-UPS/SMES
  • TABLE 249 AI GOVERNANCE MARKET: PRODUCT LAUNCHES, OCTOBER 2023-SEPTEMBER 2024
  • TABLE 250 AI GOVERNANCE MARKET: DEALS, OCTOBER 2023-SEPTEMBER 2024
  • TABLE 251 IBM: COMPANY OVERVIEW
  • TABLE 252 IBM: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 253 IBM: PRODUCT LAUNCHES
  • TABLE 254 IBM: DEALS
  • TABLE 255 MICROSOFT: COMPANY OVERVIEW
  • TABLE 256 MICROSOFT: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 257 MICROSOFT: PRODUCT LAUNCHES
  • TABLE 258 GOOGLE: COMPANY OVERVIEW
  • TABLE 259 GOOGLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 260 SALESFORCE: COMPANY OVERVIEW
  • TABLE 261 SALESFORCE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 262 SALESFORCE: PRODUCT LAUNCHES
  • TABLE 263 SAP: COMPANY OVERVIEW
  • TABLE 264 SAP: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 265 SAP: DEALS
  • TABLE 266 AWS: COMPANY OVERVIEW
  • TABLE 267 AWS: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 268 AWS: PRODUCT LAUNCHES
  • TABLE 269 AWS: DEALS
  • TABLE 270 SAS INSTITUTE: COMPANY OVERVIEW
  • TABLE 271 SAS INSTITUTE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 272 SAS INSTITUTE: PRODUCT LAUNCHES
  • TABLE 273 FICO: COMPANY OVERVIEW
  • TABLE 274 FICO: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 275 META: COMPANY OVERVIEW
  • TABLE 276 META: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 277 META: DEALS
  • TABLE 278 ACCENTURE: COMPANY OVERVIEW
  • TABLE 279 ACCENTURE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 280 ACCENTURE: DEALS
  • TABLE 281 MONITAUR: BUSINESS OVERVIEW
  • TABLE 282 MONITAUR: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 283 MONITAUR: PRODUCT LAUNCHES
  • TABLE 284 MONITAUR: DEALS
  • TABLE 285 AI MODEL RISK MANAGEMENT MARKET, BY OFFERING, 2019-2023 (USD MILLION)
  • TABLE 286 AI MODEL RISK MANAGEMENT MARKET, BY OFFERING, 2024-2029 (USD MILLION)
  • TABLE 287 AI MODEL RISK MANAGEMENT MARKET, BY RISK TYPE, 2019-2023 (USD MILLION)
  • TABLE 288 AI MODEL RISK MANAGEMENT MARKET, BY RISK TYPE, 2024-2029 (USD MILLION)
  • TABLE 289 AI MODEL RISK MANAGEMENT MARKET, BY APPLICATION, 2019-2023 (USD MILLION)
  • TABLE 290 AI MODEL RISK MANAGEMENT MARKET, BY APPLICATION, 2024-2029 (USD MILLION)
  • TABLE 291 AI MODEL RISK MANAGEMENT MARKET, BY VERTICAL, 2019-2023 (USD MILLION)
  • TABLE 292 AI MODEL RISK MANAGEMENT MARKET, BY VERTICAL 2024-2029 (USD MILLION)
  • TABLE 293 AI MODEL RISK MANAGEMENT MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 294 AI MODEL RISK MANAGEMENT MARKET, BY REGION, 2024-2029 (USD MILLION)
  • TABLE 295 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2019-2023 (USD BILLION)
  • TABLE 296 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2024-2030 (USD BILLION)
  • TABLE 297 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2019-2023 (USD BILLION)
  • TABLE 298 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2024-2030 (USD BILLION)
  • TABLE 299 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2019-2023 (USD BILLION)
  • TABLE 300 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2024-2030 (USD BILLION)
  • TABLE 301 ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2019-2023 (USD BILLION)
  • TABLE 302 ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2024-2030 (USD BILLION)
  • TABLE 303 ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019-2023 (USD BILLION)
  • TABLE 304 ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2024-2030 (USD BILLION)

List of Figures

  • FIGURE 1 AI GOVERNANCE MARKET: RESEARCH DESIGN
  • FIGURE 2 DATA TRIANGULATION
  • FIGURE 3 AI GOVERNANCE MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES
  • FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 1, BOTTOM-UP (SUPPLY-SIDE): REVENUE FROM PRODUCT TYPES OF AI GOVERNANCE MARKET
  • FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY- APPROACH 2, BOTTOM-UP (SUPPLY-SIDE): COLLECTIVE REVENUE FROM ALL PRODUCT TYPES OF AI GOVERNANCE MARKET
  • FIGURE 6 MARKET SIZE ESTIMATION METHODOLOGY-APPROACH 3, BOTTOM-UP (SUPPLY-SIDE): COLLECTIVE REVENUE FROM ALL PRODUCT TYPES OF AI GOVERNANCE MARKET
  • FIGURE 7 MARKET SIZE ESTIMATION METHODOLOGY-APPROACH 4, BOTTOM-UP (DEMAND-SIDE): SHARE OF AI GOVERNANCE THROUGH OVERALL AI SPENDING
  • FIGURE 8 MLOPS TOOLS SEGMENT TO ACCOUNT FOR HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 9 DATA GOVERNANCE SEGMENT TO ACCOUNT FOR LARGEST MARKET IN 2024
  • FIGURE 10 SOFTWARE & TECHNOLOGY PROVIDERS SEGMENT TO ACCOUNT FOR HIGHEST CAGR SEGMENT DURING FORECAST PERIOD
  • FIGURE 11 ASIA PACIFIC TO REGISTER HIGHEST GROWTH RATE DURING FORECAST PERIOD
  • FIGURE 12 MOUNTING ETHICAL CONCERNS AND REGULATORY DEMANDS TO ACCELERATE EXPLOSIVE MARKET GROWTH
  • FIGURE 13 RISK MANAGEMENT & COMPLIANCE SEGMENT TO ACCOUNT FOR HIGHEST GROWTH RATE DURING FORECAST PERIOD
  • FIGURE 14 DATA GOVERNANCE PLATFORMS AND BFSI SEGMENTS TO ACCOUNT FOR LARGEST SHAREHOLDERS IN NORTH AMERICA IN 2024
  • FIGURE 15 NORTH AMERICA TO HOLD LARGEST MARKET SHARE IN 2024
  • FIGURE 16 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES: AI GOVERNANCE MARKET
  • FIGURE 17 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
  • FIGURE 18 AI GOVERNANCE MARKET: SUPPLY CHAIN ANALYSIS
  • FIGURE 19 KEY PLAYERS IN AI GOVERNANCE MARKET ECOSYSTEM
  • FIGURE 20 NUMBER OF PATENTS GRANTED IN LAST 10 YEARS, 2015-2024
  • FIGURE 21 TOP 10 APPLICANTS IN AI GOVERNANCE MARKET, 2015-2024
  • FIGURE 22 REGIONAL ANALYSIS OF PATENTS GRANTED, 2015-2024
  • FIGURE 23 AI GOVERNANCE MARKET: PORTER'S FIVE FORCES ANALYSIS
  • FIGURE 24 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE END USERS
  • FIGURE 25 KEY BUYING CRITERIA FOR TOP THREE END USERS
  • FIGURE 26 AI GOVERNANCE MARKET: INVESTMENT LANDSCAPE AND FUNDING SCENARIO, 2019-2023
  • FIGURE 27 CATEGORY-WISE INVESTMENTS IN AI GOVERNANCE, 2019-2023
  • FIGURE 28 FUNDING SECURED BY PROMINENT AI GOVERNANCE START-UPS
  • FIGURE 29 MARKET POTENTIAL OF GENERATIVE AI IN VARIOUS AI GOVERNANCE USE CASES
  • FIGURE 30 FRAMEWORK FOR ORGANIZATIONAL AI GOVERNANCE LIFECYCLE
  • FIGURE 31 EVOLUTION OF AI GOVERNANCE
  • FIGURE 32 MLOPS TOOLS SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 33 RISK MANAGEMENT & COMPLIANCE SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 34 SOFTWARE & TECHNOLOGY PROVIDERS SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 35 INDIA TO ACCOUNT FOR HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 36 ASIA PACIFIC TO ACCOUNT FOR HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 37 NORTH AMERICA: MARKET SNAPSHOT
  • FIGURE 38 ASIA PACIFIC: MARKET SNAPSHOT
  • FIGURE 39 OVERVIEW OF STRATEGIES ADOPTED BY KEY AI GOVERNANCE VENDORS
  • FIGURE 40 TOP FIVE PUBLIC PLAYERS DOMINATING MARKET FOR LAST FIVE YEARS
  • FIGURE 41 SHARE OF LEADING COMPANIES IN AI GOVERNANCE MARKET, 2023
  • FIGURE 42 PRODUCT/BRAND COMPARISON (1/2)
  • FIGURE 43 PRODUCT/BRAND COMPARISON (2/2)
  • FIGURE 44 COMPANY VALUATION AND FINANCIAL METRICS OF KEY VENDORS
  • FIGURE 45 YEAR-TO-DATE (YTD) PRICE TOTAL RETURN AND 5-YEAR STOCK BETA OF KEY VENDORS
  • FIGURE 46 AI GOVERNANCE MARKET: COMPANY EVALUATION MATRIX (KEY PLAYERS), 2023
  • FIGURE 47 COMPANY FOOTPRINT (19 COMPANIES)
  • FIGURE 48 AI GOVERNANCE MARKET: COMPANY EVALUATION MATRIX (START-UPS/SMES), 2023
  • FIGURE 49 IBM: COMPANY SNAPSHOT
  • FIGURE 50 MICROSOFT: COMPANY SNAPSHOT
  • FIGURE 51 GOOGLE: COMPANY SNAPSHOT
  • FIGURE 52 SALESFORCE: COMPANY SNAPSHOT
  • FIGURE 53 SAP: COMPANY SNAPSHOT
  • FIGURE 54 AWS: COMPANY SNAPSHOT
  • FIGURE 55 FICO: COMPANY SNAPSHOT
  • FIGURE 56 META: COMPANY SNAPSHOT
  • FIGURE 57 ACCENTURE: COMPANY SNAPSHOT