AI Governance Market

Report Code TC 7355
Published in Oct, 2024, By MarketsandMarkets™
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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

Overview

The global AI governance market size is estimated to grow from USD 890.6 million in 2024 to USD 5,776.0 million in 2029, at a CAGR of 45.3% over the forecast period. The convergence of regulatory pressure and responsible AI use is driving the growth of the AI governance market. Demand for robust AI governance is rising as AI is used across highly regulated industries, such as healthcare, insurance, and defense sectors. With AI systems now making critical decisions, the potential for unintended consequences – algorithmic bias, data breaches, ethical violations – is getting the attention of regulators and stakeholders. Governments are introducing stricter regulations, such as the EU’s AI Act, to ensure AI is transparent, accountable, and ethical. Thus, enterprises are under immense pressure to implement full governance frameworks that include risk management, model monitoring, and compliance. The frequency of high-profile AI incidents – facial recognition failures and biased lending algorithms – drives the need for robust governance solutions to mitigate these risks and be compliant.

AI Governance Market

Impact of Generative AI on AI Governance

Bias Detection and Mitigation

Generative AI helps identify and address biases in AI systems, promoting fairness and aligning models with ethical and regulatory standards.

Automated Compliance Reporting

Generative AI automates the generation of compliance reports, ensuring accuracy and efficiency while keeping AI systems aligned with legal requirements.

Policy Generation and Documentation

Generative AI assists in creating and updating governance policies, helping organizations maintain regulatory compliance and ethical AI practices.

Dynamic Risk Assessment

Generative AI enhances real-time risk assessment by simulating various scenarios, enabling organizations to anticipate and mitigate AI-related risks.

Auditing Model Transparency

Generative AI provides detailed explanations of AI model decisions, improving transparency and accountability for audits and regulatory scrutiny.

AI Governance Market Impact

Attractive Opportunities in the AI Governance Market

ASIA PACIFIC

Market growth in the Asia Pacific can be attributed to the deployment of AI at scale in healthcare, BFSI, and manufacturing, driving the need for governance frameworks. Significant government investment and policy focus on AI ethics and compliance further fuel rapid market expansion.

Vendors offering AI auditing, compliance tools, and AI ethics consulting are well-positioned to capitalize on the growing need of AI regulatory compliance across multiple industries.

AI governance solutions, such as bias detection tools, data privacy frameworks, and compliance platforms, particularly in content regulation, intellectual property protection, and transparent decision-making, will become hot bets in near future.

Significant investments in AI governance, such as China’s multi-billion-dollar AI initiatives and Japan’s corporate focus on ethical AI, are driving rapid market growth in Asia Pacific by funding frameworks for responsible AI use.

Generative AI is driving the demand for robust AI governance across the globe by raising concerns over content authenticity, intellectual property, and ethical AI deployment.

Global AI Governance Market Dynamics

Driver: Awareness of risk mitigation efforts prompting investments in AI governance tools

The AI governance market is booming as companies scramble to mitigate AI deployment risks – ethical issues, data breaches, and regulatory non-compliance. As AI systems make more and more decisions, the consequences of uncontrolled AI models – from algorithmic bias to data misuse – threaten companies’ reputations and compliance with new regulations. To mitigate these risks, businesses are building risk management frameworks that include AI observability, model explainability, and data governance. Much money is being poured into governance areas to support this trend. For example, between 2019 and 2023, USD 13 billion was invested in various AI governance areas, and MLOps got the largest share of USD 6.9 billion, followed by data privacy solutions at USD 1.6 billion. Given that enterprises are aware of these risks and investing in solutions to manage and mitigate them, AI governance has become a top priority for future AI success.

AI Governance Market Driver

Restraint: Lack of harmonized global standards for AI governance

There is no single, harmonized global standard for AI governance, which is a major hindrance for companies trying to navigate the increasingly complex regulatory landscape across different regions. The US, EU, China, and India are all developing AI regulations, and companies must implement governance frameworks that meet a wide range of laws. The varying levels of oversight – from the EU’s AI Act to the more innovation-driven approach in the US – create operational complexity. This fragmentation means companies have to have different compliance strategies for each region, which adds cost and complexity. Without a single standard, AI governance solutions fail to meet global needs. Consequently, the broader adoption of AI governance frameworks is slowing as organizations struggle to align their operations to multiple and sometimes conflicting regulations.

AI Governance Market Restraint
 

Opportunity: Integration with MLOps platforms

The combination of AI governance tools with MLOps is a big growth opportunity for the AI governance market. As organizations adopt MLOps to manage the lifecycle of ML models from development to deployment, there is a growing need to ensure those models comply with regulatory, ethical, and security standards. By infusing governance features, such as model monitoring, bias detection, and compliance tracking, into MLOps workflows, companies can manage operational efficiency and governance compliance in one go. This reduces operational friction and provides a proactive approach to managing AI risk so organizations can automate governance and have continuous oversight. With USD 6.9 billion already invested in MLOps, expanding governance into this space is a big opportunity for vendors to offer end-to-end AI governance frameworks that combine regulatory compliance and AI model management.

Challenge: Limited understanding of AI risks and governance needs

One of the biggest hurdles to the growth of AI governance is the lack of understanding within enterprises around AI ethics and responsible AI practices. Many organizations are still in the early stages of realizing the importance of ethical AI. They are confused about how to implement frameworks that ensure fairness, transparency, and accountability in their AI systems. This lack of knowledge is a barrier to adopting governance tools as companies don’t fully understand the implications of un-governed AI – algorithmic bias, data misuse, and non-compliance. Companies prioritize short-term gains from AI over long-term ethical considerations and see governance as an overhead rather than a safeguard. Without greater education and awareness around the principles of responsible AI, the broader adoption of AI governance frameworks will continue to be held back.

Global AI Governance Market Ecosystem Analysis

The AI governance market is a diverse ecosystem, with specialized vendors, such as BreezeML and Trustible, addressing bias and compliance. At the same time, cloud hyperscalers, such as Google and AWS, integrate governance into their platforms. Transparency players like causaLens focus on model explainability, and MLOps vendors like Arize automate governance in the AI lifecycle. Data governance firms like Collibra, alongside privacy vendors such as OneTrust, ensure compliance with data regulations, creating a comprehensive governance framework.

Top Companies in AI Governance Market

Source: Secondary Research, Interviews with Experts, and MarketsandMarkets Analysis

 

MLOps tools segment to account for highest growth during forecast period

MLOps is the highest-growing segment in the AI governance market as it is responsible for the end-to-end lifecycle of ML models- from model development & deployment to monitoring. As businesses rely increasingly on AI for decision making, AI model reliability and regulatory compliance are key. MLOps platforms like Arize and Fiddler have governance features, such as automated monitoring, bias detection, and explainability, which ensure AI models behave ethically and consistently over time. For example, tools like WhyLabs give real-time visibility into AI models so users can catch drift or compliance issues before they become a problem. With increasing regulatory pressure, MLOps helps streamline AI governance by embedding oversight into the development pipeline, making them essential for scaling AI responsibly.

Monitoring & auditing segment to register largest market share in 2024

Monitoring & auditing is the largest segment by functionality in the AI governance market because it is fundamental to maintaining the integrity, compliance, and ethical use of AI systems throughout their lifecycle. AI models are dynamic, constantly interacting with new data, and can drift, causing performance to degrade or introduce biases. Continuous monitoring is key to detecting these changes early so that models perform as intended and comply with regulatory frameworks. On the other hand, auditing is key to tracing the AI model’s decision-making process, providing a detailed record that’s essential for regulatory scrutiny, internal reviews, and accountability purposes. In industries like finance, healthcare and insurance where AI decisions impact people’s lives, having a full monitoring and auditing system ensures models adhere to ethical standards, legal regulations, and business policies. As AI adoption grows, monitoring and auditing are likely to become the foundation of AI governance.

Asia Pacific to emerge as highest growing region during forecast period

Asia Pacific is the region with the highest growth in the AI governance market, as AI is being deployed rapidly across key industries, and regulatory compliance is getting more focus. China, Japan, India, and South Korea are leading in AI adoption, especially in the healthcare, finance, and manufacturing sectors, which require robust governance frameworks to manage risks, such as bias, privacy violation, and regulatory non-compliance. In Japan, NEC Corporation is focused on integrating governance into its AI offerings to ensure compliance with emerging regulations on transparency and fairness. Meanwhile, India’s growing AI market is seeing companies, such as Fractal Analytics, push for robust AI governance solutions to meet the standards set by new data protection laws. Companies like 4Paradigm are developing AI governance frameworks to ensure transparency and ethical usage, aligning with the Chinese government’s AI accountability guidelines. These vendors cater to their local markets' unique needs while addressing global governance challenges. Digital transformation projects, such as smart cities and eCommerce, has further accelerated the need for AI monitoring and auditing tools. As more companies in the region are deploying AI at scale, they need market-specific governance tools that address local regulations, data privacy, and ethical issues, making Asia Pacific the highest growing market for AI governance.

HIGHEST CAGR MARKET DURING FORECAST PERIOD
INDIA, FASTEST-GROWING MARKET IN THE REGION
AI Governance Market Size and Share

Source: Secondary Research, Expert Interviews, and MarketsandMarkets Analysis

Recent Developments of AI Governance Market

  • In June 2024, IBM and AWS strategically partnered to address the growing demand from customers for effective AI governance solutions. The combination of IBM watsonx.governance and Amazon SageMaker offers a potent suite of governance, risk management, and compliance capabilities that streamline the AI model lifecycle.
  • In May 2024, AWS launched the Responsible Generative AI Community in Singapore to help organizations adopt AI responsibly, especially small and medium-sized businesses. This initiative balances innovation with ethical considerations by providing practical guidance and leveraging AWS’s AI expertise. AWS is working closely with the Infocomm Media Development Authority (IMDA) and AI Verify to ensure the development of secure and compliant generative AI solutions.
  • In April 2024, Microsoft announced a reimagined data governance experience within Microsoft Purview. This new Software-as-a-Service (SaaS) experience offers sophisticated yet simple business-friendly interaction, integration across data sources, AI-enabled business efficiency, and actions and insights to help users implement data governance practices efficiently.
  • In April 2024, Salesforce announced two bundled solutions to make it easier for IT teams to develop and deploy trusted AI capabilities in a secure and trusted way: the AI Implementation Bundle, which includes Einstein Copilot, Einstein 1 Studio, Platform licenses, Sandboxes, and Data Mask, and the Data Governance Bundle, which includes Shield, Security Center, and Privacy Center.
  • In March 2024, Collibra and SAP announced an expansion of the partnership to deliver end-to-end AI and data governance across the business data fabric. SAP Datasphere and Collibra offer enterprises a business data fabric architecture that can govern SAP and non-SAP data, delivering trusted data to all users no matter where it resides.
  • In October 2023, IBM acquired Manta Software Inc, a world-class data lineage platform to complement its capabilities within watsonx.ai, watsonx.data, and watsonx.governance and help businesses deliver products built on principles of trust and transparency.

Key Market Players

List of Top AI Governance Market Companies

  • Domino Data Lab (US)
  • SparkCognition (US)
  • Collibra (US)
  • OneTrust (US)
  • Quest Software (US)
  • Fiddler AI (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 Product Type, Functionality, End User, and Region.
Regions covered North America, Europe, Asia Pacific, Middle East & Africa, and Latin America

 

Key Questions Addressed by the Report

What is AI governance?
AI governance refers to the framework of policies, regulations, and practices designed to guide the responsible development, deployment, and oversight of artificial intelligenceAI systems. It ensures that AI technologies are transparent, ethical, and aligned with societal values while addressing concerns such as bias, accountability, privacy, and fairnesconcerns about bias, accountability, privacy, and fairness. By implementing AI governance, organizations and governments aim to mitigate risks, promote trust, and ensure AI is used in ways thatto benefit individuals and communities without causing harm or reinforcing inequalities.
What is the total CAGR expected to be recorded for the AI governance market during 2024-2029the forecast period?
The AI governance market is expected to record a CAGR of 45.3% from 2024-2029during the forecast period.
Which are the key drivers supporting the growth of the AI governance market?
The key factors driving the growth of the AI governance market include 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 fuelling the growth of governance solutions, and demand for trust and transparency expanding the AI governance market.
Which are the top end-users prevailing in the AI governance market?
The leading enterprise end -users in the AI governance market include BFSI, healthcare and & life sciences, and software & technology providers.
Who are the key vendors in the AI governance market?
Some 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).

 

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Table of Contents

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TITLE
PAGE NO
INTRODUCTION
35
RESEARCH METHODOLOGY
42
EXECUTIVE SUMMARY
54
PREMIUM INSIGHTS
59
MARKET OVERVIEW AND INDUSTRY TRENDS
61
  • 5.1 INTRODUCTION
  • 5.2 MARKET DYNAMICS
    DRIVERS
    - Increasing regulatory compliance pressures driving organizations to adopt governance frameworks
    - Awareness of risk mitigation efforts prompting investments in AI governance tools
    - Need for compliance, credibility, safety, and decision-making fuels adoption of governance solutions
    - Demand for trust and transparency
    RESTRAINTS
    - Lack of harmonized global standards for AI governance
    - High costs of implementing AI governance frameworks
    - Complexity in monitoring and managing AI models post-deployment
    OPPORTUNITIES
    - Growing demand for ethical AI creating opportunities in bias mitigation solutions
    - Integration with MLOps platforms
    - Rising adoption of AI by SMEs fueling demand for scalable governance solutions
    - Emerging regulatory frameworks open new market segments
    CHALLENGES
    - Resistance to change in established workflows
    - Limited understanding of AI risks and governance needs
  • 5.3 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
  • 5.4 PRICING ANALYSIS
    PRICING DATA, BY PRODUCT TYPE
    PRICING DATA, BY FUNCTIONALITY
  • 5.5 SUPPLY CHAIN ANALYSIS
  • 5.6 ECOSYSTEM
    END-TO-END AI GOVERNANCE PLATFORM VENDORS
    AI GOVERNANCE TOOLS PROVIDERS
    TRANSPARENCY AND EXPLAINABILITY VENDORS
    CLOUD HYPERSCALERS
    MLOPS AND LLMOPS VENDORS
    END USERS
    DATA PRIVACY VENDORS
    DATA GOVERNANCE AND CATALOG VENDORS
  • 5.7 TECHNOLOGY ANALYSIS
    KEY TECHNOLOGIES
    - Machine Learning (ML)
    - Explainable AI (XAI)
    - Federated Learning (FL)
    - Differential privacy
    - Automated model monitoring
    COMPLEMENTARY TECHNOLOGIES
    - Cybersecurity
    - Data encryption
    - Identity & Access Management (IAM)
    - Data Quality Management (DQM)
    - Risk management systems
    ADJACENT TECHNOLOGIES
    - Cloud computing
    - Blockchain
    - Natural Language Processing (NLP)
    - Edge computing
    - High-Performance Computing (HPC)
  • 5.8 PATENT ANALYSIS
    METHODOLOGY
    PATENTS FILED, BY DOCUMENT TYPE
    INNOVATION AND PATENT APPLICATIONS
    - Top 10 applicants in AI governance market
  • 5.9 KEY CONFERENCES AND EVENTS (2024–2025)
  • 5.10 REGULATORY LANDSCAPE
    REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    REGULATIONS: AI GOVERNANCE
    - North America
    - Europe
    - Asia Pacific
    - Middle East & Africa
    LATIN AMERICA
  • 5.11 PORTER’S FIVE FORCES ANALYSIS
    THREAT OF NEW ENTRANTS
    THREAT OF SUBSTITUTES
    BARGAINING POWER OF SUPPLIERS
    BARGAINING POWER OF BUYERS
    INTENSITY OF COMPETITIVE RIVALRY
  • 5.12 KEY STAKEHOLDERS & BUYING CRITERIA
    KEY STAKEHOLDERS IN BUYING PROCESS
    BUYING CRITERIA
  • 5.13 INVESTMENT LANDSCAPE AND FUNDING SCENARIO
  • 5.14 IMPACT OF GENERATIVE AI ON AI GOVERNANCE MARKET
    TOP USE CASES & MARKET POTENTIAL
    - Bias detection and mitigation
    - Automated compliance reporting
    - Policy generation and documentation
    - Dynamic risk assessment
    - Auditing model transparency
  • 5.15 AI GOVERNANCE LIFECYCLE FRAMEWORK
    ENVIRONMENTAL LAYER
    ORGANIZATIONAL LAYER
    AI SYSTEM LAYER
  • 5.16 EVOLUTION OF AI GOVERNANCE
  • 5.17 CASE STUDY ANALYSIS
    BFSI
    - Fiddler AI Observability helped Tide scale its ML solutions to support its growth, better understand model outcomes, and align data science and business teams
    - 2021.AI collaborated with GF to create AI-derived model that could simulate fraud patterns among household insurance claims
    SOFTWARE & TECHNOLOGY PROVIDERS
    - LinkGRC enhanced its GRC service offerings with 2021.AI’s AI-based solutions
    - Prometric championed Responsible AI in assessments with long-term partner 2021.AI
    RETAIL & CONSUMER GOODS
    - Conjura reduced time to detect and resolve model drift from days to hours with Fiddler
AI GOVERNANCE MARKET, BY PRODUCT TYPE
118
  • 6.1 INTRODUCTION
    PRODUCT TYPES: AI GOVERNANCE MARKET DRIVERS
  • 6.2 DATA PRIVACY TOOLS
    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
    DEMAND FOR END-TO-END AI GOVERNANCE PLATFORMS TO GROW TO ALIGN AI WITH REGULATORY AND ETHICAL STANDARDS
  • 6.4 DATA GOVERNANCE PLATFORMS
    DATA GOVERNANCE PLATFORMS TO TRACK DATA QUALITY AND MITIGATE RISKS ASSOCIATED WITH AI BIASES
  • 6.5 MLOPS TOOLS
    REGULATORY COMPLIANCE AND ETHICAL CONCERNS AROUND AI GOVERNANCE TO PLAY CRITICAL ROLE IN GROWTH OF MLOPS TOOLS
    - Model development
    - Model deployment
    - Model monitoring
  • 6.6 LLMOPS TOOLS
    CONVERGENCE OF AI GOVERNANCE AND LLMOPS TO ENSURE BETTER MODEL PERFORMANCE TRACKING TO BOOST MARKET GROWTH
  • 6.7 RESPONSIBLE AI TOOLKITS
    NEED FOR ORGANIZATIONS TO BALANCE INNOVATION WITH GOVERNANCE TO DRIVE GROWTH OF RESPONSIBLE AI TOOLKITS
  • 6.8 AI GOVERNANCE CONSULTING SERVICES
    AI GOVERNANCE CONSULTING SERVICES TO OFFER CRITICAL EXPERTISE TO NAVIGATE COMPLEXITIES OF ETHICAL AI DEPLOYMENT
  • 6.9 AI GOVERNANCE AS A SERVICE
    AI GOVERNANCE AS A SERVICE PLATFORMS TO DETECT AND MITIGATE RISKS AND ENHANCE AI SYSTEM ACCOUNTABILITY
AI GOVERNANCE MARKET, BY FUNCTIONALITY
134
  • 7.1 INTRODUCTION
    FUNCTIONALITIES: AI GOVERNANCE MARKET DRIVERS
  • 7.2 MODEL LIFECYCLE MANAGEMENT
    MODEL LIFECYCLE MANAGEMENT TO MAINTAIN OPERATIONAL EFFICIENCY, ENSURE COMPLIANCE, AND ADDRESS ETHICAL CONCERNS SURROUNDING AI USAGE
    AUTOMATED VERSIONING
    MODEL-IN-PRODUCTION MANAGEMENT
    AI INVENTORY MANAGEMENT
    MODEL DIVERGENCE DETECTION
  • 7.3 RISK MANAGEMENT & COMPLIANCE
    EFFECTIVE COMPLIANCE FRAMEWORKS COMBINED WITH REGULAR AUDITS AND ETHICAL AI TRAINING TO MINIMIZE RISKS IN AI DEPLOYMENT
    MODEL RISK MANAGEMENT
    REGULATORY COMPLIANCE
    RISK IDENTIFICATION & MITIGATION
    THIRD-PARTY RISK EVALUATION
  • 7.4 MONITORING & AUDITING
    MONITORING AND AUDITING TO ENSURE TRANSPARENCY, ACCOUNTABILITY, AND COMPLIANCE IN DEPLOYMENT AND OPERATION OF AI SYSTEMS
    AI MODEL MONITORING
    DRIFT & BIAS MITIGATION
    ANOMALY DETECTION
    PERFORMANCE DEGRADATION ALERTS
  • 7.5 TRANSPARENCY & EXPLAINABILITY
    TRANSPARENCY & EXPLAINABILITY TO ENSURE ACCOUNTABILITY, ETHICAL INTEGRITY, AND USER TRUST
    MODEL PREDICTION EXPLAINABILITY
    MODEL TRANSPARENCY
    MODEL DOCUMENTATION & REPORTING
  • 7.6 DATA GOVERNANCE
    DATA GOVERNANCE TO ENSURE AI TRAINING AND OPERATIONS DATA IS ACCURATE, COMPLETE, CONSISTENT, AND PROTECTED FROM BIASES OR MISUSE
    DATA LINEAGE
    DATA DISCOVERY & CLASSIFICATION
    DATA PROVENANCE
  • 7.7 ETHICS & RESPONSIBLE AI
    ETHICAL AI TO EMPHASIZE FAIRNESS, TRANSPARENCY, AND ACCOUNTABILITY, AND MINIMIZE BIAS
    AI POLICY CREATION
    POLICY BREACH ALERTS
    AI ETHICS MANAGEMENT
    ADHERENCE VALIDATION
    AI REGISTRY
  • 7.8 OTHER FUNCTIONALITY TYPES
AI GOVERNANCE MARKET, BY END USER
168
  • 8.1 INTRODUCTION
    END USERS: AI GOVERNANCE MARKET DRIVERS
  • 8.2 BFSI
    FINANCIAL INSTITUTIONS TO LEVERAGE AI GOVERNANCE TOOLS TO ALIGN WITH NEW REGULATIONS, MITIGATE RISKS, AND ENHANCE TRANSPARENCY
    BANKING
    FINANCIAL SERVICES
    INSURANCE
  • 8.3 TELECOMMUNICATIONS
    NEED TO ADDRESS GROWING USE OF AI IN MANAGING NETWORKS, CUSTOMER DATA, AND SERVICES TO DRIVE MARKET GROWTH
  • 8.4 GOVERNMENT & DEFENSE
    ADVANCEMENTS IN AI-DRIVEN CYBERSECURITY SYSTEMS TO HIGHLIGHT IMPORTANCE OF GOVERNANCE IN SAFEGUARDING NATIONAL SECURITY, ETHICS, AND COMPLIANCE
  • 8.5 HEALTHCARE & LIFE SCIENCES
    RISE OF AI-POWERED CLINICAL DECISION SUPPORT SYSTEMS AND RECOMMENDATIONS FOR DIAGNOSIS AND TREATMENT BASED ON VAST DATASETS TO PROPEL MARKET
  • 8.6 MANUFACTURING
    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
    NEED TO OPTIMIZE OPERATIONS, ENHANCE CUSTOMER EXPERIENCES, AND STREAMLINE SUPPLY CHAINS TO ACCELERATE MARKET GROWTH
  • 8.8 SOFTWARE & TECHNOLOGY PROVIDERS
    SOFTWARE & TECHNOLOGY PROVIDERS TO RELY ON AI GOVERNANCE TO ENSURE MODELS AND AI SYSTEMS STAY COMPLIANT, ETHICAL, AND TRANSPARENT
    CLOUD HYPERSCALERS
    FOUNDATION MODEL/LLM PROVIDERS
    DATA ANNOTATORS
    AI TRAINING DATASET PROVIDERS
    IT & IT-ENABLED SERVICE PROVIDERS
  • 8.9 AUTOMOTIVE
    AI ALGORITHMS TO IMPROVE ELECTRONIC VEHICLE PERFORMANCE WHILE ADHERING TO ENVIRONMENTAL REGULATIONS
  • 8.10 MEDIA & ENTERTAINMENT
    EMPHASIS ON TRANSPARENCY, INTELLECTUAL PROPERTY PROTECTION, AND PRIVACY TO BOLSTER MARKET GROWTH
  • 8.11 OTHER END USERS
AI GOVERNANCE MARKET, BY REGION
192
  • 9.1 INTRODUCTION
  • 9.2 NORTH AMERICA
    NORTH AMERICA: AI GOVERNANCE MARKET DRIVERS
    NORTH AMERICA: MACROECONOMIC OUTLOOK
    US
    - Need to improve efficiency, decision-making, and robust governance frameworks to manage risks, ethical concerns, and compliance to drive market
    CANADA
    - Increasing data security concerns, need for ethical AI practices, robust government support, and strategic investments to propel market
  • 9.3 EUROPE
    EUROPE: AI GOVERNANCE MARKET DRIVERS
    EUROPE: MACROECONOMIC OUTLOOK
    UK
    - Regulatory pressures, sector-specific needs, and advancements in AI transparency tools to fuel market growth
    GERMANY
    - Advancements coupled with strong regulatory push and corporate accountability to boost demand for AI governance
    FRANCE
    - Increasing demand for ethical AI solutions, regulatory compliance, and heightened awareness of risks to accelerate market growth
    ITALY
    - Government investment in AI innovation and governance to prioritize responsible and transparent AI usage to boost market growth
    SPAIN
    - 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
    NETHERLANDS
    - Government investment in AI infrastructure to strengthen local AI capabilities to boost demand for AI governance
    REST OF EUROPE
  • 9.4 ASIA PACIFIC
    ASIA PACIFIC: AI GOVERNANCE MARKET DRIVERS
    ASIA PACIFIC: MACROECONOMIC OUTLOOK
    CHINA
    - Advancements paired with China's strategic goals to mitigate AI risks to accelerate adoption of AI governance solutions
    INDIA
    - Government initiatives, increased adoption of AI technologies across industries, and rising concerns over data privacy and ethical use of AI systems to drive market
    JAPAN
    - Focus on technological innovation, government support, and increasing awareness of AI's ethical and legal implications to bolster market growth
    SOUTH KOREA
    - Investment in AI governance models to balance performance with cost efficiency to accelerate adoption of AI governance solutions
    SINGAPORE
    - Introduction of Model AI Governance Framework combined with substantial investments in training programs for local professionals to boost market growth
    AUSTRALIA
    - Rising adoption of AI technologies and establishment of National Artificial Intelligence Centre (NAIC) to fuel market growth
    REST OF ASIA PACIFIC
  • 9.5 MIDDLE EAST & AFRICA
    MIDDLE EAST & AFRICA: AI GOVERNANCE MARKET DRIVERS
    MIDDLE EAST & AFRICA: MACROECONOMIC OUTLOOK
    SAUDI ARABIA
    - Focus on becoming global leader in AI through its Vision 2030 initiative to bolster market growth
    UAE
    - Focus on digital transformation and implementation of UAE Artificial Intelligence Strategy 2031 to boost market growth
    QATAR
    - Qatar’s commitment to leveraging AI for economic diversification aligning with its National Vision 2030 to enhance market growth
    TURKEY
    - Implementation of National Artificial Intelligence Strategy to foster demand for AI governance
    REST OF MIDDLE EAST
    AFRICA
    - Need for ethical AI deployment, transparency, and regulatory oversight to foster adoption of AI governance
  • 9.6 LATIN AMERICA
    LATIN AMERICA: AI GOVERNANCE MARKET DRIVERS
    LATIN AMERICA: MACROECONOMIC OUTLOOK
    BRAZIL
    - Need for regulatory frameworks, ethical guidelines, governance mechanisms, and evolving data protection landscape to boost market growth
    MEXICO
    - Regulatory initiatives, technological advancements, and increasing investment in AI technologies to augment market growth
    ARGENTINA
    - Robust technological talent pool nurtured by universities and research institutions to accelerate market growth
    REST OF LATIN AMERICA
COMPETITIVE LANDSCAPE
256
  • 10.1 OVERVIEW
  • 10.2 KEY PLAYER STRATEGIES/RIGHT TO WIN
  • 10.3 REVENUE ANALYSIS
  • 10.4 MARKET SHARE ANALYSIS
    MARKET RANKING ANALYSIS
  • 10.5 PRODUCT/BRAND COMPARISON
    AMAZON SAGEMAKER (AWS)
    DOMINO AI GOVERNANCE (DOMINO DATA LABS)
    EXPLAINABLE AI (GOOGLE)
    WATSONX.GOVERNANCE (IBM)
    CREDO AI GOVERNANCE PLATFORM (CREDO AI)
    GRACE LLM GOVERNANCE (2021.AI)
    ARTHUR BENCH (ARTHUR AI)
    PATRONUS AI SUITE (PATRONUS AI)
    LLM MESH (DATAIKU)
    GEN AI GOVERNANCE PLATFORM (PORTAL 26)
  • 10.6 COMPANY VALUATION AND FINANCIAL METRICS
  • 10.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023
    STARS
    EMERGING LEADERS
    PERVASIVE PLAYERS
    PARTICIPANTS
    COMPANY FOOTPRINT: KEY PLAYERS, 2023
    - Company footprint
    - Product type footprint
    - Functionality footprint
    - End-user footprint
    - Regional footprint
  • 10.8 COMPANY EVALUATION MATRIX: START-UPS/SMES, 2023
    PROGRESSIVE COMPANIES
    RESPONSIVE COMPANIES
    DYNAMIC COMPANIES
    STARTING BLOCKS
    COMPETITIVE BENCHMARKING: START-UPS/SMES, 2023
    - Detailed list of key start-ups/SMEs
    - Competitive benchmarking of key start-ups/SMEs
  • 10.9 COMPETITIVE SCENARIO AND TRENDS
    PRODUCT LAUNCHES AND ENHANCEMENTS
    DEALS
COMPANY PROFILES
281
  • 11.1 INTRODUCTION
  • 11.2 KEY PLAYERS
    IBM
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    MICROSOFT
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    GOOGLE
    - Business overview
    - Products/Solutions/Services offered
    - MnM view
    SALESFORCE
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    SAP
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    AWS
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    SAS INSTITUTE
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    FICO
    - Business overview
    - Products/Solutions/Services offered
    META
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    ACCENTURE
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
  • 11.3 OTHER PLAYERS
    ONETRUST
    QLIK
    H20.AI
    ALTERYX
    DATAROBOT
    DATAIKU
    DOMINO DATA LABS
    SPARKCOGNITION
    COLLIBRA
    QUEST SOFTWARE
  • 11.4 START-UPS/SMES
    MONITAUR
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    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
ADJACENT AND RELATED MARKETS
333
  • 12.1 INTRODUCTION
  • 12.2 AI MODEL RISK MANAGEMENT MARKET – GLOBAL FORECAST TO 2029
    MARKET DEFINITION
    MARKET OVERVIEW
    - AI model risk management market, by offering
    - AI model risk management market, by risk type
    - AI model risk management market, by application
    - AI model risk management market, by vertical
    - AI model risk management market, by region
  • 12.3 ARTIFICIAL INTELLIGENCE (AI) MARKET – GLOBAL FORECAST TO 2030
    MARKET DEFINITION
    MARKET OVERVIEW
    - Artificial intelligence market, by offering
    - Artificial intelligence market, by business function
    - Artificial intelligence market, by technology
    - Artificial intelligence market, by vertical
    - Artificial intelligence market, by region
APPENDIX
347
  • 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 MARKET SIZE AND GROWTH RATE, 2019–2023 (USD MILLION, Y-O-Y)
  • TABLE 6 GLOBAL 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 MARKET: ECOSYSTEM
  • TABLE 10 PATENTS FILED, 2015–2024
  • TABLE 11 TOP 20 PATENT OWNERS IN MARKET, 2015–2024
  • TABLE 12 LIST OF FEW PATENTS IN MARKET, 2022–2024
  • TABLE 13 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 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 MARKET, BY PRODUCT TYPE, 2019–2023 (USD MILLION)
  • TABLE 23 MARKET, BY PRODUCT TYPE, 2024–2029 (USD MILLION)
  • TABLE 24 DATA PRIVACY TOOLS: 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: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 27 END-TO-END AI GOVERNANCE PLATFORMS: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 28 DATA GOVERNANCE PLATFORMS: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 29 DATA GOVERNANCE PLATFORMS: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 30 MLOPS TOOLS: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 31 MLOPS TOOLS: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 32 MODEL DEVELOPMENT: MARKET, BY REGION, 2019–2023 (USD THOUSAND)
  • TABLE 33 MODEL DEVELOPMENT: MARKET, BY REGION, 2024–2029 (USD THOUSAND)
  • TABLE 34 MODEL DEPLOYMENT: MARKET, BY REGION, 2019–2023 (USD THOUSAND)
  • TABLE 35 MODEL DEPLOYMENT: MARKET, BY REGION, 2024–2029 (USD THOUSAND)
  • TABLE 36 MODEL MONITORING: MARKET, BY REGION, 2019–2023 (USD THOUSAND)
  • TABLE 37 MODEL MONITORING: MARKET, BY REGION, 2024–2029 (USD THOUSAND)
  • TABLE 38 LLMOPS TOOLS: MARKET, BY REGION, 2019–2023 (USD THOUSAND)
  • TABLE 39 LLMOPS TOOLS: MARKET, BY REGION, 2024–2029 (USD THOUSAND)
  • TABLE 40 RESPONSIBLE AI TOOLKITS: 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: MARKET, BY REGION, 2019–2023 (USD THOUSAND)
  • TABLE 43 AI GOVERNANCE CONSULTING SERVICES: MARKET, BY REGION, 2024–2029 (USD THOUSAND)
  • TABLE 44 AI GOVERNANCE AS A SERVICE: MARKET, BY REGION, 2019–2023 (USD THOUSAND)
  • TABLE 45 AI GOVERNANCE AS A SERVICE: MARKET, BY REGION, 2024–2029 (USD THOUSAND)
  • TABLE 46 MARKET, BY FUNCTIONALITY, 2019–2023 (USD MILLION)
  • TABLE 47 MARKET, BY FUNCTIONALITY, 2024–2029 (USD MILLION)
  • TABLE 48 MODEL LIFECYCLE MANAGEMENT: MARKET, BY TYPE, 2019–2023 (USD MILLION)
  • TABLE 49 MODEL LIFECYCLE MANAGEMENT: MARKET, BY TYPE, 2024–2029 (USD MILLION)
  • TABLE 50 AUTOMATED VERSIONING: MARKET, BY REGION, 2019–2023 (USD THOUSAND)
  • TABLE 51 AUTOMATED VERSIONING: MARKET, BY REGION, 2024–2029 (USD THOUSAND)
  • TABLE 52 MODEL-IN-PRODUCTION MANAGEMENT: MARKET, BY REGION, 2019–2023 (USD THOUSAND)
  • TABLE 53 MODEL-IN-PRODUCTION MANAGEMENT: MARKET, BY REGION, 2024–2029 (USD THOUSAND)
  • TABLE 54 AI INVENTORY MANAGEMENT: MARKET, BY REGION, 2019–2023 (USD THOUSAND)
  • TABLE 55 AI INVENTORY MANAGEMENT: MARKET, BY REGION, 2024–2029 (USD THOUSAND)
  • TABLE 56 MODEL DIVERGENCE DETECTION: MARKET, BY REGION, 2019–2023 (USD THOUSAND)
  • TABLE 57 MODEL DIVERGENCE DETECTION: MARKET, BY REGION, 2024–2029 (USD THOUSAND)
  • TABLE 58 RISK MANAGEMENT & COMPLIANCE: MARKET, BY TYPE, 2019–2023 (USD MILLION)
  • TABLE 59 RISK MANAGEMENT & COMPLIANCE: MARKET, BY TYPE, 2024–2029 (USD MILLION)
  • TABLE 60 MODEL RISK MANAGEMENT: MARKET, BY REGION, 2019–2023 (USD THOUSAND)
  • TABLE 61 MODEL RISK MANAGEMENT: MARKET, BY REGION, 2024–2029 (USD THOUSAND)
  • TABLE 62 REGULATORY COMPLIANCE: MARKET, BY REGION, 2019–2023 (USD THOUSAND)
  • TABLE 63 REGULATORY COMPLIANCE: MARKET, BY REGION, 2024–2029 (USD THOUSAND)
  • TABLE 64 RISK IDENTIFICATION & MITIGATION: MARKET, BY REGION, 2019–2023 (USD THOUSAND)
  • TABLE 65 RISK IDENTIFICATION & MITIGATION: MARKET, BY REGION, 2024–2029 (USD THOUSAND)
  • TABLE 66 THIRD-PARTY RISK EVALUATION: MARKET, BY REGION, 2019–2023 (USD THOUSAND)
  • TABLE 67 THIRD-PARTY RISK EVALUATION: MARKET, BY REGION, 2024–2029 (USD THOUSAND)
  • TABLE 68 MONITORING & AUDITING: AI GOVERNANCE MARKET, BY TYPE, 2019–2023 (USD MILLION)
  • TABLE 69 MONITORING & AUDITING: MARKET, BY TYPE, 2024–2029 (USD MILLION)
  • TABLE 70 AI MODEL MONITORING: MARKET, BY REGION, 2019–2023 (USD THOUSAND)
  • TABLE 71 AI MODEL MONITORING: MARKET, BY REGION, 2024–2029 (USD THOUSAND)
  • TABLE 72 DRIFT & BIAS MITIGATION: MARKET, BY REGION, 2019–2023 (USD THOUSAND)
  • TABLE 73 DRIFT & BIAS MITIGATION: MARKET, BY REGION, 2024–2029 (USD THOUSAND)
  • TABLE 74 ANOMALY DETECTION: MARKET, BY REGION, 2019–2023 (USD THOUSAND)
  • TABLE 75 ANOMALY DETECTION: MARKET, BY REGION, 2024–2029 (USD THOUSAND)
  • TABLE 76 PERFORMANCE DEGRADATION ALERTS: MARKET, BY REGION, 2019–2023 (USD THOUSAND)
  • TABLE 77 PERFORMANCE DEGRADATION ALERTS: MARKET, BY REGION, 2024–2029 (USD THOUSAND)
  • TABLE 78 TRANSPARENCY & EXPLAINABILITY: MARKET, BY TYPE, 2019–2023 (USD MILLION)
  • TABLE 79 TRANSPARENCY & EXPLAINABILITY: MARKET, BY TYPE, 2024–2029 (USD MILLION)
  • TABLE 80 MODEL PREDICTION EXPLAINABILITY: MARKET, BY REGION, 2019–2023 (USD THOUSAND)
  • TABLE 81 MODEL PREDICTION EXPLAINABILITY: MARKET, BY REGION, 2024–2029 (USD THOUSAND)
  • TABLE 82 MODEL TRANSPARENCY: MARKET, BY REGION, 2019–2023 (USD THOUSAND)
  • TABLE 83 MODEL TRANSPARENCY: MARKET, BY REGION, 2024–2029 (USD THOUSAND)
  • TABLE 84 MODEL DOCUMENTATION & REPORTING: MARKET, BY REGION, 2019–2023 (USD THOUSAND)
  • TABLE 85 MODEL DOCUMENTATION & REPORTING: MARKET, BY REGION, 2024–2029 (USD THOUSAND)
  • TABLE 86 DATA GOVERNANCE: MARKET, BY TYPE, 2019–2023 (USD MILLION)
  • TABLE 87 DATA GOVERNANCE: MARKET, BY TYPE, 2024–2029 (USD MILLION)
  • TABLE 88 DATA LINEAGE: 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: MARKET, BY REGION, 2019–2023 (USD THOUSAND)
  • TABLE 91 DATA DISCOVERY & CLASSIFICATION: MARKET, BY REGION, 2024–2029 (USD THOUSAND)
  • TABLE 92 DATA PROVENANCE: MARKET, BY REGION, 2019–2023 (USD THOUSAND)
  • TABLE 93 DATA PROVENANCE: MARKET, BY REGION, 2024–2029 (USD THOUSAND)
  • TABLE 94 ETHICS & RESPONSIBLE AI: MARKET, BY TYPE, 2019–2023 (USD THOUSAND)
  • TABLE 95 ETHICS & RESPONSIBLE AI: MARKET, BY TYPE, 2024–2029 (USD THOUSAND)
  • TABLE 96 AI POLICY CREATION: MARKET, BY REGION, 2019–2023 (USD THOUSAND)
  • TABLE 97 AI POLICY CREATION: MARKET, BY REGION, 2024–2029 (USD THOUSAND)
  • TABLE 98 POLICY BREACH ALERTS: MARKET, BY REGION, 2019–2023 (USD THOUSAND)
  • TABLE 99 POLICY BREACH ALERTS: MARKET, BY REGION, 2024–2029 (USD THOUSAND)
  • TABLE 100 AI ETHICS MANAGEMENT: MARKET, BY REGION, 2019–2023 (USD THOUSAND)
  • TABLE 101 AI ETHICS MANAGEMENT: MARKET, BY REGION, 2024–2029 (USD THOUSAND)
  • TABLE 102 ADHERENCE VALIDATION: MARKET, BY REGION, 2019–2023 (USD THOUSAND)
  • TABLE 103 ADHERENCE VALIDATION: MARKET, BY REGION, 2024–2029 (USD THOUSAND)
  • TABLE 104 AI REGISTRY: MARKET, BY REGION, 2019–2023 (USD THOUSAND)
  • TABLE 105 AI REGISTRY MARKET, BY REGION, 2024–2029 (USD THOUSAND)
  • TABLE 106 OTHER FUNCTIONALITY TYPES: MARKET, BY REGION, 2019–2023 (USD THOUSAND)
  • TABLE 107 OTHER FUNCTIONALITY TYPES: AI GOVERNANCE MARKET, BY REGION, 2024–2029 (USD THOUSAND)
  • TABLE 108 MARKET, BY END USER, 2019–2023 (USD MILLION)
  • TABLE 109 MARKET, BY END USER, 2024–2029 (USD MILLION)
  • TABLE 110 BFSI: MARKET, BY TYPE, 2019–2023 (USD MILLION)
  • TABLE 111 BFSI: MARKET, BY TYPE, 2024–2029 (USD MILLION)
  • TABLE 112 BANKING: MARKET, BY REGION, 2019–2023 (USD THOUSAND)
  • TABLE 113 BANKING: MARKET, BY REGION, 2024–2029 (USD THOUSAND)
  • TABLE 114 FINANCIAL SERVICES: MARKET, BY REGION, 2019–2023 (USD THOUSAND)
  • TABLE 115 FINANCIAL SERVICES: MARKET, BY REGION, 2024–2029 (USD THOUSAND)
  • TABLE 116 INSURANCE: MARKET, BY REGION, 2019–2023 (USD THOUSAND)
  • TABLE 117 INSURANCE: MARKET, BY REGION, 2024–2029 (USD THOUSAND)
  • TABLE 118 TELECOMMUNICATIONS: MARKET, BY REGION, 2019–2023 (USD THOUSAND)
  • TABLE 119 TELECOMMUNICATIONS: MARKET, BY REGION, 2024–2029 (USD THOUSAND)
  • TABLE 120 GOVERNMENT & DEFENSE: MARKET, BY REGION, 2019–2023 (USD THOUSAND)
  • TABLE 121 GOVERNMENT & DEFENSE: MARKET, BY REGION, 2024–2029 (USD THOUSAND)
  • TABLE 122 HEALTHCARE & LIFE SCIENCES: MARKET, BY REGION, 2019–2023 (USD THOUSAND)
  • TABLE 123 HEALTHCARE & LIFE SCIENCES: MARKET, BY REGION, 2024–2029 (USD THOUSAND)
  • TABLE 124 MANUFACTURING: MARKET, BY REGION, 2019–2023 (USD THOUSAND)
  • TABLE 125 MANUFACTURING: MARKET, BY REGION, 2024–2029 (USD THOUSAND)
  • TABLE 126 RETAIL & CONSUMER GOODS: MARKET, BY REGION, 2019–2023 (USD THOUSAND)
  • TABLE 127 RETAIL & CONSUMER GOODS: 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: MARKET, BY TYPE, 2024–2029 (USD MILLION)
  • TABLE 130 SOFTWARE & TECHNOLOGY PROVIDERS: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 131 SOFTWARE & TECHNOLOGY PROVIDERS: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 132 CLOUD HYPERSCALERS: MARKET, BY REGION, 2019–2023 (USD THOUSAND)
  • TABLE 133 CLOUD HYPERSCALERS: MARKET, BY REGION, 2024–2029 (USD THOUSAND)
  • TABLE 134 FOUNDATION MODEL/LLM PROVIDERS: MARKET, BY REGION, 2019–2023 (USD THOUSAND)
  • TABLE 135 FOUNDATION MODEL/LLM PROVIDERS: MARKET, BY REGION, 2024–2029 (USD THOUSAND)
  • TABLE 136 DATA ANNOTATORS: MARKET, BY REGION, 2019–2023 (USD THOUSAND)
  • TABLE 137 DATA ANNOTATORS: MARKET, BY REGION, 2024–2029 (USD THOUSAND)
  • TABLE 138 AI TRAINING DATASET PROVIDERS: MARKET, BY REGION, 2019–2023 (USD THOUSAND)
  • TABLE 139 AI TRAINING DATASET PROVIDERS: MARKET, BY REGION, 2024–2029 (USD THOUSAND)
  • TABLE 140 IT & IT-ENABLED SERVICE PROVIDERS: MARKET, BY REGION, 2019–2023 (USD THOUSAND)
  • TABLE 141 IT & IT-ENABLED SERVICE PROVIDERS: MARKET, BY REGION, 2024–2029 (USD THOUSAND)
  • TABLE 142 AUTOMOTIVE: MARKET, BY REGION, 2019–2023 (USD THOUSAND)
  • TABLE 143 AUTOMOTIVE: MARKET, BY REGION, 2024–2029 (USD THOUSAND)
  • TABLE 144 MEDIA & ENTERTAINMENT: MARKET, BY REGION, 2019–2023 (USD THOUSAND)
  • TABLE 145 MEDIA & ENTERTAINMENT: MARKET, BY REGION, 2024–2029 (USD THOUSAND)
  • TABLE 146 OTHER END USERS: MARKET, BY REGION, 2019–2023 (USD THOUSAND)
  • TABLE 147 OTHER END USERS: MARKET, BY REGION, 2024–2029 (USD THOUSAND)
  • TABLE 148 AI GOVERNANCE MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 149 MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 150 NORTH AMERICA: MARKET, BY PRODUCT TYPE, 2019–2023 (USD MILLION)
  • TABLE 151 NORTH AMERICA: MARKET, BY PRODUCT TYPE, 2024–2029 (USD MILLION)
  • TABLE 152 NORTH AMERICA: MARKET, BY FUNCTIONALITY, 2019–2023 (USD MILLION)
  • TABLE 153 NORTH AMERICA: MARKET, BY FUNCTIONALITY, 2024–2029 (USD MILLION)
  • TABLE 154 NORTH AMERICA: MARKET, BY END USER, 2019–2023 (USD MILLION)
  • TABLE 155 NORTH AMERICA: MARKET, BY END USER, 2024–2029 (USD MILLION)
  • TABLE 156 NORTH AMERICA: MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
  • TABLE 157 NORTH AMERICA: MARKET, BY COUNTRY, 2024–2029 (USD MILLION)
  • TABLE 158 US: MARKET, BY PRODUCT TYPE, 2019–2023 (USD MILLION)
  • TABLE 159 US: MARKET, BY PRODUCT TYPE, 2024–2029 (USD MILLION)
  • TABLE 160 CANADA: MARKET, BY PRODUCT TYPE, 2019–2023 (USD THOUSAND)
  • TABLE 161 CANADA: MARKET, BY PRODUCT TYPE, 2024–2029 (USD THOUSAND)
  • TABLE 162 EUROPE: MARKET, BY PRODUCT TYPE, 2019–2023 (USD MILLION)
  • TABLE 163 EUROPE: MARKET, BY PRODUCT TYPE, 2024–2029 (USD MILLION)
  • TABLE 164 EUROPE: MARKET, BY FUNCTIONALITY, 2019–2023 (USD MILLION)
  • TABLE 165 EUROPE: MARKET, BY FUNCTIONALITY, 2024–2029 (USD MILLION)
  • TABLE 166 EUROPE: MARKET, BY END USER, 2019–2023 (USD MILLION)
  • TABLE 167 EUROPE: MARKET, BY END USER, 2024–2029 (USD MILLION)
  • TABLE 168 EUROPE: MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
  • TABLE 169 EUROPE: MARKET, BY COUNTRY, 2024–2029 (USD MILLION)
  • TABLE 170 UK: MARKET, BY PRODUCT TYPE, 2019–2023 (USD THOUSAND)
  • TABLE 171 UK: MARKET, BY PRODUCT TYPE, 2024–2029 (USD THOUSAND)
  • TABLE 172 GERMANY: MARKET, BY PRODUCT TYPE, 2019–2023 (USD THOUSAND)
  • TABLE 173 GERMANY: MARKET, BY PRODUCT TYPE, 2024–2029 (USD THOUSAND)
  • TABLE 174 FRANCE: MARKET, BY PRODUCT TYPE, 2019–2023 (USD THOUSAND)
  • TABLE 175 FRANCE: MARKET, BY PRODUCT TYPE, 2024–2029 (USD THOUSAND)
  • TABLE 176 ITALY: MARKET, BY PRODUCT TYPE, 2019–2023 (USD THOUSAND)
  • TABLE 177 ITALY: MARKET, BY PRODUCT TYPE, 2024–2029 (USD THOUSAND)
  • TABLE 178 SPAIN: MARKET, BY PRODUCT TYPE, 2019–2023 (USD THOUSAND)
  • TABLE 179 SPAIN: MARKET, BY PRODUCT TYPE, 2024–2029 (USD THOUSAND)
  • TABLE 180 NETHERLANDS: MARKET, BY PRODUCT TYPE, 2019–2023 (USD THOUSAND)
  • TABLE 181 NETHERLANDS: MARKET, BY PRODUCT TYPE, 2024–2029 (USD THOUSAND)
  • TABLE 182 REST OF EUROPE: MARKET, BY PRODUCT TYPE, 2019–2023 (USD THOUSAND)
  • TABLE 183 REST OF EUROPE: MARKET, BY PRODUCT TYPE, 2024–2029 (USD THOUSAND)
  • TABLE 184 ASIA PACIFIC: MARKET, BY PRODUCT TYPE, 2019–2023 (USD MILLION)
  • TABLE 185 ASIA PACIFIC: MARKET, BY PRODUCT TYPE, 2024–2029 (USD MILLION)
  • TABLE 186 ASIA PACIFIC: MARKET, BY FUNCTIONALITY, 2019–2023 (USD MILLION)
  • TABLE 187 ASIA PACIFIC: MARKET, BY FUNCTIONALITY, 2024–2029 (USD MILLION)
  • TABLE 188 ASIA PACIFIC: 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: MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
  • TABLE 191 ASIA PACIFIC: MARKET, BY COUNTRY, 2024–2029 (USD MILLION)
  • TABLE 192 CHINA: MARKET, BY PRODUCT TYPE, 2019–2023 (USD THOUSAND)
  • TABLE 193 CHINA: MARKET, BY PRODUCT TYPE, 2024–2029 (USD THOUSAND)
  • TABLE 194 INDIA: MARKET, BY PRODUCT TYPE, 2019–2023 (USD THOUSAND)
  • TABLE 195 INDIA: MARKET, BY PRODUCT TYPE, 2024–2029 (USD THOUSAND)
  • TABLE 196 JAPAN: MARKET, BY PRODUCT TYPE, 2019–2023 (USD THOUSAND)
  • TABLE 197 JAPAN: MARKET, BY PRODUCT TYPE, 2024–2029 (USD THOUSAND)
  • TABLE 198 SOUTH KOREA: MARKET, BY PRODUCT TYPE, 2019–2023 (USD THOUSAND)
  • TABLE 199 SOUTH KOREA: MARKET, BY PRODUCT TYPE, 2024–2029 (USD THOUSAND)
  • TABLE 200 SINGAPORE: MARKET, BY PRODUCT TYPE, 2019–2023 (USD THOUSAND)
  • TABLE 201 SINGAPORE: MARKET, BY PRODUCT TYPE, 2024–2029 (USD THOUSAND)
  • TABLE 202 AUSTRALIA: MARKET, BY PRODUCT TYPE, 2019–2023 (USD THOUSAND)
  • TABLE 203 AUSTRALIA: MARKET, BY PRODUCT TYPE, 2024–2029 (USD THOUSAND)
  • TABLE 204 REST OF ASIA PACIFIC: MARKET, BY PRODUCT TYPE, 2019–2023 (USD THOUSAND)
  • TABLE 205 REST OF ASIA PACIFIC: MARKET, BY PRODUCT TYPE, 2024–2029 (USD THOUSAND)
  • TABLE 206 MIDDLE EAST & AFRICA: MARKET, BY PRODUCT TYPE, 2019–2023 (USD THOUSAND)
  • TABLE 207 MIDDLE EAST & AFRICA: MARKET, BY PRODUCT TYPE, 2024–2029 (USD THOUSAND)
  • TABLE 208 MIDDLE EAST & AFRICA: MARKET, BY FUNCTIONALITY, 2019–2023 (USD THOUSAND)
  • TABLE 209 MIDDLE EAST & AFRICA: MARKET, BY FUNCTIONALITY, 2024–2029 (USD THOUSAND)
  • TABLE 210 MIDDLE EAST & AFRICA: MARKET, BY END USER, 2019–2023 (USD THOUSAND)
  • TABLE 211 MIDDLE EAST & AFRICA: MARKET, BY END USER, 2024–2029 (USD THOUSAND)
  • TABLE 212 MIDDLE EAST & AFRICA: MARKET, BY COUNTRY, 2019–2023 (USD THOUSAND)
  • TABLE 213 MIDDLE EAST & AFRICA: MARKET, BY COUNTRY, 2024–2029 (USD THOUSAND)
  • TABLE 214 SAUDI ARABIA: 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: MARKET, BY PRODUCT TYPE, 2019–2023 (USD THOUSAND)
  • TABLE 217 UAE: MARKET, BY PRODUCT TYPE, 2024–2029 (USD THOUSAND)
  • TABLE 218 QATAR: MARKET, BY PRODUCT TYPE, 2019–2023 (USD THOUSAND)
  • TABLE 219 QATAR: MARKET, BY PRODUCT TYPE, 2024–2029 (USD THOUSAND)
  • TABLE 220 TURKEY: MARKET, BY PRODUCT TYPE, 2019–2023 (USD THOUSAND)
  • TABLE 221 TURKEY: MARKET, BY PRODUCT TYPE, 2024–2029 (USD THOUSAND)
  • TABLE 222 REST OF MIDDLE EAST: MARKET, BY PRODUCT TYPE, 2019–2023 (USD THOUSAND)
  • TABLE 223 REST OF MIDDLE EAST: MARKET, BY PRODUCT TYPE, 2024–2029 (USD THOUSAND)
  • TABLE 224 AFRICA: MARKET, BY PRODUCT TYPE, 2019–2023 (USD THOUSAND)
  • TABLE 225 AFRICA: MARKET, BY PRODUCT TYPE, 2024–2029 (USD THOUSAND)
  • TABLE 226 LATIN AMERICA: MARKET, BY PRODUCT TYPE, 2019–2023 (USD THOUSAND)
  • TABLE 227 LATIN AMERICA: MARKET, BY PRODUCT TYPE, 2024–2029 (USD THOUSAND)
  • TABLE 228 LATIN AMERICA: MARKET, BY FUNCTIONALITY, 2019–2023 (USD THOUSAND)
  • TABLE 229 LATIN AMERICA: MARKET, BY FUNCTIONALITY, 2024–2029 (USD THOUSAND)
  • TABLE 230 LATIN AMERICA: MARKET, BY END USER, 2019–2023 (USD THOUSAND)
  • TABLE 231 LATIN AMERICA: MARKET, BY END USER, 2024–2029 (USD THOUSAND)
  • TABLE 232 LATIN AMERICA: MARKET, BY COUNTRY, 2019–2023 (USD THOUSAND)
  • TABLE 233 LATIN AMERICA: MARKET, BY COUNTRY, 2024–2029 (USD THOUSAND)
  • TABLE 234 BRAZIL: AI GOVERNANCE MARKET, BY PRODUCT TYPE, 2019–2023 (USD THOUSAND)
  • TABLE 235 BRAZIL: MARKET, BY PRODUCT TYPE, 2024–2029 (USD THOUSAND)
  • TABLE 236 MEXICO: MARKET, BY PRODUCT TYPE, 2019–2023 (USD THOUSAND)
  • TABLE 237 MEXICO: MARKET, BY PRODUCT TYPE, 2024–2029 (USD THOUSAND)
  • TABLE 238 ARGENTINA: MARKET, BY PRODUCT TYPE, 2019–2023 (USD THOUSAND)
  • TABLE 239 ARGENTINA: MARKET, BY PRODUCT TYPE, 2024–2029 (USD THOUSAND)
  • TABLE 240 REST OF LATIN AMERICA: MARKET, BY PRODUCT TYPE, 2019–2023 (USD THOUSAND)
  • TABLE 241 REST OF LATIN AMERICA: MARKET, BY PRODUCT TYPE, 2024–2029 (USD THOUSAND)
  • TABLE 242 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 MARKET: KEY START-UPS/SMES
  • TABLE 248 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

 

The research methodology for the global AI governance market report involved the use of extensive secondary sources and directories, as well as various reputed open-source databases, to identify and collect information useful for this technical and market-oriented study. In-depth interviews were conducted with various primary respondents, including key opinion leaders, subject matter experts on AI model lifecycle management, MLOps, model monitoring and data governance, high-level executives of multiple companies offering AI governance offerings, and industry consultants to obtain and verify critical qualitative and quantitative information and assess the market prospects and industry trends.

Secondary Research

In the secondary research process, various secondary sources were referred to for identifying and collecting information for the study. The secondary sources included annual reports; press releases and investor presentations of companies; white papers, certified publications such as AI and Ethics Journal, Journal of Artificial Intelligence Research, World Economic Forum’s Holistic Framework on AI Governance, AI Ethics and Governance by EU; and articles from recognized associations and government publishing sources including but not limited to AI Global, Global Initiative on Ethics of Autonomous and Intelligent Systems, Global Partnership on Artificial Intelligence, The Responsible AI Institute, European AI Alliance, AI for Good (United Nations), and World Economic Forum’s AI Governance and Policy Center.

The secondary research was used to obtain key information about the industry’s value chain, the market’s monetary chain, the overall pool of key players, market classification and segmentation according to industry trends to the bottom-most level, regional markets, and key developments from the market and technology-oriented perspectives.

Primary Research

In the primary research process, a diverse range of stakeholders from both the supply and demand sides of the AI governance ecosystem were interviewed to gather qualitative and quantitative insights specific to this market. From the supply side, key industry experts, such as chief executive officers (CEOs), vice presidents (VPs), marketing directors, technology and innovation directors, as well as technical leads from vendors offering AI governance were consulted. Additionally, system integrators, managed service providers (MSPs), and IT service firms that implement and support AI governance were included in the study. On the demand side, input from IT decision-makers, infrastructure managers, and cybersecurity heads was collected to understand the user perspectives and adoption challenges within targeted industries.

The primary research ensured that all crucial parameters affecting the AI governance market—from technological advancements and evolving use cases (model monitoring & auditing, risk management & compliance, transparency & explanability, data governance etc.) to regulatory and compliance needs (GDPR, EU AI Act, California Consumer Privacy Act etc.)—were considered. Each factor was thoroughly analyzed, verified through primary research, and evaluated to obtain precise quantitative and qualitative data for this market.

Once the initial phase of market engineering was completed, including detailed calculations for market statistics, segment-specific growth forecasts, and data triangulation, an additional round of primary research was undertaken. This step was crucial for refining and validating critical data points, such as AI governance product types (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), industry adoption trends, the competitive landscape, and key market dynamics like demand drivers (Increasing regulatory compliance pressures, risk mitigation efforts prompting investments in AI governance tools etc.), challenges (Lack of harmonized global standards for AI governance, high costs of implementing AI governance frameworks, etc.), and opportunities (growing demand for ethical AI, integration with MLOps platforms etc.)

In the complete market engineering process, the top-down and bottom-up approaches and several data triangulation methods were extensively used to perform the market estimation and market forecast for the overall market segments and subsegments listed in this report. Extensive qualitative and quantitative analysis was performed on the complete market engineering process to record the critical information/insights throughout the report.

AI Governance Market Size, and Share

Note: Three tiers of companies are defined based on their total revenue as of 2023; tier 1 = revenue more than USD 1 billion, tier 2 = revenue between USD 100 million and 1 billion, tier 3 = revenue less than USD 100 million
Source: MarketsandMarkets Analysis

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

Market Size Estimation

To estimate and forecast the AI governance market and its dependent submarkets, both top-down and bottom-up approaches were employed. This multi-layered analysis was further reinforced through data triangulation, incorporating both primary and secondary research inputs. The market figures were also validated against the existing MarketsandMarkets repository for accuracy. The following research methodology has been used to estimate the market size:

AI Governance Market : Top-Down and Bottom-Up Approach

AI Governance Market Top Down and Bottom Up Approach

Data Triangulation

After arriving at the overall market size using the market size estimation processes as explained above, the market was split into several segments and subsegments. To complete the overall market engineering process and arrive at the exact statistics of each market segment and subsegment, data triangulation and market breakup procedures were employed, wherever applicable. The overall market size was then used in the top-down procedure to estimate the size of other individual markets via percentage splits of the market segmentation.

Market Definition

AI governance is a structured framework that ensures the ethical, transparent, and accountable development, deployment, and monitoring of AI systems. It encompasses policies, processes, and tools designed to manage risks such as bias, lack of transparency, data privacy issues, and security vulnerabilities. AI governance focuses on aligning AI operations with ethical standards, regulatory compliance, and organizational values, ensuring that AI models operate safely, fairly, and responsibly throughout their lifecycle. It also addresses accountability by implementing mechanisms for auditing, monitoring, and reporting AI decisions, fostering trust and reducing the potential for unintended harm.

Stakeholders

  • AI governance platform vendors
  • MLOps and LLMOPs tools vendors
  • Business analysts
  • Cloud service providers
  • AI governance consulting service providers
  • Enterprise end-users
  • Distributors and Value-added Resellers (VARs)
  • Government agencies
  • Independent Software Vendors (ISV)
  • Managed service providers
  • Market research and consulting firms
  • Data privacy tool providers
  • AI transparency & explainability tool vendors
  • Software & technology providers

Report Objectives

  • To define, describe, and predict the AI governance market by product type, functionality, end user, 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 contribution to the total market
  • To analyze the opportunities in the market for stakeholders by identifying the high-growth segments of the AI governance 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 segments for five main regions: North America, Europe, Asia Pacific, 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 and acquisitions, in the AI governance market
  • To analyze the impact of recession across all the regions across the AI governance market

Available Customizations

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

Product Analysis

  • Product matrix provides a detailed comparison of the product portfolio of each company

Geographic analysis

  • Further breakup of the North American market for AI governance
  • Further breakup of the European market for AI governance
  • Further breakup of the Asia Pacific market for AI governance
  • Further breakup of the Latin American market for AI governance
  • Further breakup of the Middle East & Africa market for AI governance

Company information

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

 

Previous Versions of this Report

AI Governance Market by Component (Solutions (Platforms And Software Tools) and Services), Deployment Mode, Organization Size, Vertical (BFSI, Healthcare and Life Sciences, Government and Defense, and Automotive), and Region - Global Forecast to 2026

Report Code TC 7355
Published in Mar, 2021, By MarketsandMarkets™

AI Governance Market by Component (Solutions (Platforms And Software Tools) and Services), Deployment Mode, Organization Size, Vertical (BFSI, Healthcare and Life Sciences, Government and Defense, and Automotive), and Region - Global Forecast to 2026

Report Code TC 7355
Published in Sep, 2019, By MarketsandMarkets™
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