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人工智慧治理市场 - 2018-2028 年全球产业规模、份额、趋势、机会和预测，按组件、部署模式、企业规模、垂直产业、地区和竞争细分
市场调查报告书
商品编码
1379563

人工智慧治理市场 - 2018-2028 年全球产业规模、份额、趋势、机会和预测，按组件、部署模式、企业规模、垂直产业、地区和竞争细分

AI Governance Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Component, By Deployment Mode, By Enterprise Size, By Industry Vertical, By Region, and By Competition, 2018-2028
出版日期: | 出版商: TechSci Research | 英文 190 Pages | 商品交期: 2-3个工作天内

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简介目录

随着世界各地的组织努力应对人工智慧带来的复杂挑战，全球人工智慧治理市场的需求正在大幅成长。人工智慧治理涵盖一套全面的实践、政策和技术，旨在确保人工智慧系统负责任且符合道德的开发、部署和管理。该市场的成长得益于人工智慧技术在各行业的广泛采用，同时人们对人工智慧驱动决策中的资料隐私、演算法偏差、透明度和问责制的担忧日益加剧。

人工智慧治理市场的一个突出趋势是越来越关注监管合规性。严格的资料保护法规，包括一般资料保护规范 (GDPR) 和行业特定指南，迫使组织寻求促进合规性的人工智慧治理解决方案。这些解决方案有助于管理资料隐私、同意和遵守不断变化的法规。

此外，组织正积极拥抱人工智慧道德倡议。他们致力于消除人工智慧演算法的偏见，提高人工智慧营运的透明度，并确保人工智慧驱动结果的公平性。这种对人工智慧道德实践的推动为人工智慧治理解决方案创造了肥沃的土壤，可以应对这些复杂的挑战。

市场概况
预测期 2024-2028
2022 年市场规模 8549万美元
2028 年市场规模 7.2572亿美元
2023-2028 年CAGR 41.67%
成长最快的细分市场 中小企业 (SME)
最大的市场 北美洲

先进的人工智慧治理解决方案也不断涌现，提供人工智慧系统的即时监控、可解释性和可审计性。这些工具可协助组织应对人工智慧部署的复杂性，并适应不断变化的道德和监管环境。

主要市场驱动因素

对人工智慧道德和责任的日益担忧：

人们对人工智慧相关道德问题（例如偏见、公平和透明度）的认识和担忧不断增强，推动了对人工智慧治理的需求。包括政府、企业和公众在内的利害关係人要求人工智慧系统承担责任，以确保其符合道德标准。随着人工智慧越来越融入各个领域，对解决这些问题的治理解决方案的需求不断增加。

监理措施和合规要求：

世界各地的政府和监管机构正在采取措施建立人工智慧治理框架。欧盟的《一般资料保护规范》（GDPR）和各国的人工智慧具体法规等法规要求企业实施人工智慧治理机制。遵守这些法规的需要正在推动人工智慧治理解决方案和实践的采用。

风险管理与责任问题：

人工智慧系统可能会为企业带来新的风险和责任。人工智慧模型的失败或偏差可能会导致财务、法律和声誉风险。为了减轻这些风险，组织正在投资人工智慧治理，以确保人工智慧技术透明、负责并符合行业标准和法规。

对可解释人工智慧 (XAI) 解决方案的需求：

人工智慧决策缺乏透明度引发了担忧。可解释的人工智慧（XAI）技术正在获得关注，它可以深入了解人工智慧模型如何得出结论。企业正在采用 XAI 作为人工智慧治理的驱动力，以提高透明度并使用户能够理解人工智慧模型行为，从而增强信任和问责制。

竞争优势与市场差异化：

公司意识到实施强大的人工智慧治理可以提供竞争优势。展示道德的人工智慧实践和负责任的资料处理可以提高品牌声誉并吸引优先考虑道德因素的客户。人工智慧治理越来越被视为一种策略资产，可以使企业在市场上脱颖而出。

主要市场挑战

缺乏通用标准和法规：

人工智慧治理缺乏统一的全球标准和法规带来了重大挑战。每个地区和国家可能都有自己的一套规则和准则，这为跨国组织带来了复杂性。跨境协调人工智慧法规对于确保一致性和合规性至关重要。

道德两难和偏见缓解：

人工智慧系统可能会无意中使训练资料中存在的偏见永久化。发现并减轻这些偏见是一项复杂的挑战。在人工智慧识别模式的能力与避免强化有害刻板印象的需要之间取得平衡需要持续的研究和发展。

可解释性和透明度：

确保人工智慧系统透明且可解释是一项挑战，特别是对于复杂的深度学习模型。人工智慧的「黑盒子」性质可能会阻碍监管合规性和公众信任。开发解释人工智慧决策的方法，同时保持模型性能仍然是一个持续的挑战。

资料隐私和安全：

保护人工智慧训练和决策过程中使用的敏感资料是一项重大挑战。遵守 GDPR 和 HIPAA 等资料隐私法，同时仍允许人工智慧系统存取相关资料，需要先进的隐私保护技术，例如联邦学习和安全多方运算。

资源限制与人才短缺：

建立有效的人工智慧治理机制需要人工智慧伦理、法律和技术的专业知识。缺乏具备设计和实施稳健治理架构所需技能的专业人员。培养和培训能够应对人工智慧治理挑战的劳动力仍然是一个持续的障碍。

主要市场趋势

符合道德的人工智慧采用和监管：

道德考量和监管框架正在塑造人工智慧治理格局。公司越来越注重负责任的人工智慧部署，以确保公平、透明和问责。 GDPR 等法规以及 IEEE 等组织在符合道德的设计方面所做的努力影响着全球人工智慧的采用和发展。

透明度和可解释性：

使人工智慧演算法和流程变得透明和可解释的趋势日益增长。企业和消费者都试图了解人工智慧系统如何做出决策。这一趋势推动了可解释的人工智慧技术的发展，确保人工智慧系统不是“黑盒子”，而是可以理解和信任的。

资料隐私和安全：

随着资料外洩和隐私问题的激增，人工智慧治理正在强调严格的资料隐私和安全措施。遵守资料保护法律和框架至关重要。人工智慧开发人员正在整合联邦学习等隐私保护技术来处理资料，而不会暴露个人身份。

人工智慧偏见缓解：

解决人工智慧演算法中的偏见是一个重要趋势。根据有偏见的资料训练的人工智慧模型可能会延续社会偏见。人工智慧治理趋势强调需要去偏见技术和平衡的训练资料，以确保人工智慧系统公平对待所有个人，无论性别、种族或其他属性如何。

跨部门合作：

跨产业的协作和知识共享是人工智慧治理的趋势。政府、学术界、科技公司和非营利组织正在合作制定标准和最佳实践。人工智慧合作伙伴关係 (PAI) 等措施将利益相关者聚集在一起，创建一个致力于应对人工智慧挑战和机会的全球社群。

细分市场洞察

组件洞察

2022年，解决方案领域将在全球人工智慧治理市场中占据主导地位。目前，人工智慧治理解决方案占据主导地位。这些解决方案包含广泛的工具、平台和软体，旨在解决人工智慧治理的各个方面，例如偏见检测和缓解、可解释性和合规性监控。随着人工智慧技术的不断进步，对专业人工智慧治理解决方案的需求不断增加。

人工智慧系统的复杂性需要先进的治理解决方案。机器学习模型、深度学习演算法和自然语言处理引擎需要专用的工具和软体来确保它们遵守道德、法律和监管标准。这些解决方案提供即时监控、审计和报告人工智慧操作的功能。

严格的资料保护法规（例如 GDPR 和 CCPA）以及医疗保健和金融领域的特定行业规则，需要人工智慧治理解决方案来确保合规性。组织寻求人工智慧治理解决方案，帮助他们有效管理资料隐私、同意和安全，同时利用人工智慧进行创新。

企业规模洞察

到2022年，大型企业将在全球人工智慧治理市场中占据主导地位。大型企业往往拥有更丰富的财务和技术资源。这使他们能够在人工智慧技术和人工智慧治理解决方案上进行大量投资。他们可以负担得起复杂的人工智慧治理平台和工具来管理人工智慧系统的复杂性。

大型企业往往在多个业务部门和职能部门进行更广泛、更复杂的人工智慧部署。大规模管理人工智慧道德、合规性和问责制需要先进的人工智慧治理解决方案。这些组织是综合治理框架的早期采用者。

遵守严格的法规是大型企业的首要任务，特别是那些在金融和医疗保健等监管严格的行业中运作的企业。他们需要人工智慧治理解决方案来确保遵守资料保护法律和特定行业的法规，这通常需要全面的审计和报告能力。

区域洞察

2022年，北美将主导全球人工智慧治理市场。北美，特别是美国，是人工智慧创新的中心。它是一些世界领先的科技公司、研究机构和新创公司的所在地，这些公司在人工智慧技术方面处于领先地位。这种技术领先地位使北美处于人工智慧治理工作的最前沿，因为它对人工智慧系统相关的复杂性和挑战有着深入的了解。

美国和加拿大已经建立了相对全面的人工智慧监管框架，包括资料隐私法（例如，受GDPR启发的州级法律）、特定行业的法规以及负责任的人工智慧开髮指南。这些法规和指南推动了人工智慧治理实践和解决方案的采用。

北美政府和私人投资者为人工智慧研发分配了大量资源。这导致了以人工智慧治理为重点的组织、智囊团和旨在促进人工智慧道德实践和标准的倡议的创建。北美人工智慧社群积极为人工智慧伦理和治理的全球对话做出贡献。

北美拥有蓬勃发展的人工智慧产业生态系统，在科技、金融、医疗保健和製造等领域拥有众多由人工智慧驱动的公司。这些产业认识到人工智慧治理在降低风险和确保负责任的人工智慧采用方面的重要性，这推动了对治理解决方案的需求。

目录

第 1 章：服务概述

  • 市场定义
  • 市场范围
    • 涵盖的市场
    • 考虑学习的年份
    • 主要市场区隔

第 2 章：研究方法

  • 基线方法
  • 主要产业伙伴
  • 主要协会和二手资料来源
  • 预测方法
  • 数据三角测量与验证
  • 假设和限制

第 3 章：执行摘要

第 4 章：COVID-19 对全球人工智慧治理市场的影响

第 5 章：客户之声

第 6 章：全球人工智慧治理市场概述

第 7 章：全球人工智慧治理市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 按组件（解决方案、服务）
    • 依部署模式（本地、云端）
    • 依企业规模（大型企业、中小企业（SME））
    • 按行业垂直（BFSI、政府、医疗保健、媒体和娱乐、零售、IT 和电信、汽车、其他）
    • 按地区（北美、欧洲、南美、中东和非洲、亚太地区）
  • 按公司划分 (2022)
  • 市场地图

第 8 章：北美人工智慧治理市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 按组件
    • 按部署模式
    • 按企业规模
    • 按行业分类
    • 按国家/地区

第 9 章：欧洲人工智慧治理市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 按组件
    • 按部署模式
    • 按企业规模
    • 按行业分类
    • 按国家/地区

第 10 章：南美洲人工智慧治理市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 按组件
    • 按部署模式
    • 按企业规模
    • 按行业分类
    • 按国家/地区

第 11 章：中东和非洲人工智慧治理市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 按组件
    • 按部署模式
    • 按企业规模
    • 按行业分类
    • 按国家/地区

第十二章：亚太地区人工智慧治理市场展望

  • 市场规模及预测
    • 按价值
  • 市场规模及预测
    • 按组件
    • 按部署模式
    • 按企业规模
    • 按行业分类
    • 按国家/地区

第 13 章：市场动态

  • 司机
  • 挑战

第 14 章：市场趋势与发展

第 15 章：公司简介

  • 字母公司
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Product/Services Offered
  • 微软公司
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Product/Services Offered
  • IBM公司
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Product/Services Offered
  • SAP系统公司
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Product/Services Offered
  • Salesforce.com 公司
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Product/Services Offered
  • 亚马逊网路服务公司
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Product/Services Offered
  • QlikTech 国际公司
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Product/Services Offered
  • TIBCO 软体公司
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Product/Services Offered
  • SAS 研究所公司
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Product/Services Offered
  • 元平台公司
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Product/Services Offered

第 16 章：策略建议

第 17 章：关于我们与免责声明

简介目录
Product Code: 17040

The global AI Governance market is experiencing a significant surge in demand as organizations worldwide grapple with the complex challenges posed by artificial intelligence. AI Governance encompasses a comprehensive set of practices, policies, and technologies designed to ensure the responsible and ethical development, deployment, and management of AI systems. This market's growth is fueled by the widespread adoption of AI technologies across various industries, accompanied by mounting concerns related to data privacy, algorithmic bias, transparency, and accountability in AI-driven decision-making.

One prominent trend in the AI Governance market is the increasing focus on regulatory compliance. Stringent data protection regulations, including the General Data Protection Regulation (GDPR) and industry-specific guidelines, are compelling organizations to seek AI Governance solutions that facilitate compliance. These solutions are instrumental in managing data privacy, consent, and adherence to evolving regulations.

Moreover, organizations are proactively embracing AI ethics initiatives. They are committed to eliminating bias from AI algorithms, enhancing transparency in AI operations, and ensuring fairness in AI-driven outcomes. This drive towards ethical AI practices creates a fertile ground for AI Governance solutions that can address these complex challenges.

Market Overview
Forecast Period2024-2028
Market Size 2022USD 85.49 Million
Market Size 2028USD 725.72 Million
CAGR 2023-202841.67%
Fastest Growing SegmentSmall and Medium-sized Enterprises (SMEs)
Largest MarketNorth America

Advanced AI Governance solutions are also emerging, offering real-time monitoring, explainability, and auditability of AI systems. These tools help organizations navigate the intricacies of AI deployments and adapt to the evolving ethical and regulatory landscape.

Consulting and advisory services are in high demand as organizations seek expert guidance to align their AI strategies with ethical principles and regulatory requirements. Service providers are instrumental in assisting organizations in building robust AI Governance frameworks.

In addition, international collaboration and standardization efforts are shaping the AI Governance landscape. Organizations and governments are joining forces to establish global norms and frameworks for responsible AI development, fostering a collaborative ecosystem.

Overall, the global AI Governance market is evolving rapidly, driven by ethical considerations, regulatory pressures, and the need for advanced governance tools. As AI continues to revolutionize industries, the significance of robust AI Governance practices is set to grow, making this market a central focus for organizations committed to ethical and responsible AI innovation.

Key Market Drivers

Rising Concerns About AI Ethics and Accountability:

Growing awareness and concerns about ethical issues related to AI, such as bias, fairness, and transparency, are driving the need for AI Governance. Stakeholders, including governments, businesses, and the public, demand accountability in AI systems to ensure they align with ethical standards. As AI becomes more integrated into various sectors, the demand for governance solutions that address these concerns is on the rise.

Regulatory Initiatives and Compliance Requirements:

Governments and regulatory bodies worldwide are taking steps to establish frameworks for AI Governance. Regulations like the General Data Protection Regulation (GDPR) in the EU and AI-specific regulations in various countries require businesses to implement AI Governance mechanisms. The need to comply with these regulations is driving the adoption of AI Governance solutions and practices.

Risk Management and Liability Concerns:

AI systems can introduce new risks and liabilities for businesses. Failures or biases in AI models can lead to financial, legal, and reputational risks. To mitigate these risks, organizations are investing in AI Governance to ensure that AI technologies are transparent, accountable, and compliant with industry standards and regulations.

Demand for Explainable AI (XAI) Solutions:

The lack of transparency in AI decision-making has raised concerns. Explainable AI (XAI) techniques, which provide insights into how AI models reach conclusions, are gaining traction. Businesses are adopting XAI as a driver for AI Governance to enhance transparency and enable users to understand AI model behaviors, increasing trust and accountability.

Competitive Advantage and Market Differentiation:

Companies recognize that implementing robust AI Governance can offer a competitive edge. Demonstrating ethical AI practices and responsible data handling can enhance brand reputation and attract customers who prioritize ethical considerations. AI Governance is increasingly viewed as a strategic asset that can differentiate businesses in the market.

Key Market Challenges

Lack of Universal Standards and Regulations:

The absence of uniform global standards and regulations for AI Governance poses a significant challenge. Each region and country may have its own set of rules and guidelines, creating complexity for multinational organizations. Harmonizing AI regulations across borders is essential to ensure consistency and compliance.

Ethical Dilemmas and Bias Mitigation:

AI systems can inadvertently perpetuate biases present in training data. Detecting and mitigating these biases is a complex challenge. Striking a balance between AI's ability to recognize patterns and the need to avoid reinforcing harmful stereotypes requires ongoing research and development.

Explainability and Transparency:

Ensuring AI systems are transparent and explainable is challenging, particularly for complex deep learning models. The "black-box" nature of AI can hinder regulatory compliance and public trust. Developing methods for explaining AI decision-making while maintaining model performance remains a persistent challenge.

Data Privacy and Security:

Protecting sensitive data used in AI training and decision-making processes is a paramount challenge. Adhering to data privacy laws like GDPR and HIPAA while still allowing AI systems access to relevant data requires advanced privacy-preserving techniques such as federated learning and secure multi-party computation.

Resource Constraints and Talent Shortages:

Building effective AI Governance mechanisms demands specialized expertise in AI ethics, law, and technology. There's a shortage of professionals with the necessary skills to design and implement robust governance frameworks. Developing and training a workforce capable of addressing AI Governance challenges remains an ongoing obstacle.

Key Market Trends

Ethical AI Adoption and Regulation:

Ethical considerations and regulatory frameworks are shaping the AI Governance landscape. Companies are increasingly focusing on responsible AI deployment to ensure fairness, transparency, and accountability. Regulations like GDPR and efforts by organizations like IEEE for ethically aligned design influence AI adoption and development globally.

Transparency and Explainability:

There's a growing trend towards making AI algorithms and processes transparent and interpretable. Businesses and consumers alike seek to understand how AI systems make decisions. This trend drives the development of explainable AI techniques, ensuring that AI systems are not 'black boxes' but can be understood and trusted.

Data Privacy and Security:

With a surge in data breaches and privacy concerns, AI Governance is emphasizing stringent data privacy and security measures. Compliance with data protection laws and frameworks is essential. AI developers are incorporating privacy-preserving techniques like federated learning to process data without exposing individual identities.

AI Bias Mitigation:

Addressing biases in AI algorithms is a crucial trend. AI models trained on biased data can perpetuate societal prejudices. AI Governance trends stress the need for debiasing techniques and balanced training data to ensure that AI systems treat all individuals fairly regardless of gender, race, or other attributes.

Cross-Sector Collaboration:

Collaboration and knowledge-sharing across industries are trending in AI Governance. Governments, academia, tech companies, and non-profits are partnering to establish standards and best practices. Initiatives like Partnership on AI (PAI) bring stakeholders together to create a global community working on AI's challenges and opportunities.

Segmental Insights

Component Insights

Solution segment dominates in the global AI Governance market in 2022. At present, AI Governance solutions hold a dominant position. These solutions encompass a wide range of tools, platforms, and software designed to address various aspects of AI governance, such as bias detection and mitigation, explainability, and compliance monitoring. As AI technologies continue to advance, the demand for specialized AI Governance solutions is on the rise.

The complexity of AI systems necessitates advanced governance solutions. Machine learning models, deep learning algorithms, and natural language processing engines require dedicated tools and software to ensure they adhere to ethical, legal, and regulatory standards. These solutions offer capabilities for real-time monitoring, auditing, and reporting on AI operations.

Stringent data protection regulations, like GDPR and CCPA, and sector-specific rules in healthcare and finance, necessitate AI Governance solutions to ensure compliance. Organizations seek AI governance solutions that help them manage data privacy, consent, and security effectively while utilizing AI for innovation.

Enterprise Size Insights

Large Enterprises segment dominates in the global AI Governance market in 2022. Large enterprises often have more substantial financial and technological resources at their disposal. This enables them to invest significantly in AI technologies and AI Governance solutions. They can afford sophisticated AI Governance platforms and tools to manage the complexity of AI systems.

Large enterprises tend to have more extensive and complex AI deployments across multiple business units and functions. Managing AI ethics, compliance, and accountability at scale necessitates advanced AI Governance solutions. These organizations are early adopters of comprehensive governance frameworks.

Compliance with stringent regulations is a priority for large enterprises, especially those operating in heavily regulated industries like finance and healthcare. They require AI Governance solutions to ensure adherence to data protection laws and sector-specific regulations, which often require comprehensive auditing and reporting capabilities.

Regional Insights

North America dominates the Global AI Governance Market in 2022. North America, particularly the United States, is a hub for AI innovation. It is home to some of the world's leading tech companies, research institutions, and startups that are pioneering advancements in AI technologies. This technological leadership has positioned North America at the forefront of AI Governance efforts, as it has a deep understanding of the intricacies and challenges associated with AI systems.

The United States and Canada have established relatively comprehensive regulatory frameworks for AI, including data privacy laws (e.g., GDPR-inspired laws at the state level), sector-specific regulations, and guidelines for responsible AI development. These regulations and guidelines drive the adoption of AI Governance practices and solutions.

North American governments and private investors have allocated significant resources to AI research and development. This has led to the creation of AI Governance-focused organizations, think tanks, and initiatives aimed at fostering ethical AI practices and standards. The AI community in North America actively contributes to the global dialogue on AI ethics and governance.

North America boasts a thriving AI industry ecosystem, with a multitude of AI-driven companies across sectors such as tech, finance, healthcare, and manufacturing. These industries recognize the importance of AI Governance in mitigating risks and ensuring responsible AI adoption, which drives the demand for governance solutions.

Key Market Players

  • Alphabet Inc.
  • Microsoft Corporation
  • IBM Corporation
  • SAP SE
  • Salesforce.com, Inc.
  • Amazon Web Services, Inc.
  • QlikTech International AB
  • TIBCO Software Inc.
  • SAS Institute Inc.
  • Meta Platforms, Inc.

Report Scope:

In this report, the Global AI Governance Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

AI Governance Market, By Component:

  • Solution
  • Services

AI Governance Market, By Deployment Mode:

  • On-Premise
  • Cloud

AI Governance Market, By Enterprise Size:

  • Large enterprises
  • Small and medium-sized enterprises (SMEs)

AI Governance Market, By Industry Vertical:

  • BFSI
  • Government
  • Healthcare
  • Media & Entertainment
  • Retail
  • IT & Telecom
  • Automotive
  • Others

AI Governance Market, By Region:

  • North America
  • United States
  • Canada
  • Mexico
  • Europe
  • Germany
  • France
  • United Kingdom
  • Italy
  • Spain
  • South America
  • Brazil
  • Argentina
  • Colombia
  • Asia-Pacific
  • China
  • India
  • Japan
  • South Korea
  • Australia
  • Middle East & Africa
  • Saudi Arabia
  • UAE
  • South Africa

Competitive Landscape

  • Company Profiles: Detailed analysis of the major companies present in the Global AI Governance Market.

Available Customizations:

  • Global AI Governance Market report with the given market data, Tech Sci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

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

Table of Contents

1. Service Overview

  • 1.1. Market Definition
  • 1.2. Scope of the Market
    • 1.2.1. Markets Covered
    • 1.2.2. Years Considered for Study
    • 1.2.3. Key Market Segmentations

2. Research Methodology

  • 2.1. Baseline Methodology
  • 2.2. Key Industry Partners
  • 2.3. Major Association and Secondary Sources
  • 2.4. Forecasting Methodology
  • 2.5. Data Triangulation & Validation
  • 2.6. Assumptions and Limitations

3. Executive Summary

4. Impact of COVID-19 on Global AI Governance Market

5. Voice of Customer

6. Global AI Governance Market Overview

7. Global AI Governance Market Outlook

  • 7.1. Market Size & Forecast
    • 7.1.1. By Value
  • 7.2. Market Share & Forecast
    • 7.2.1. By Component (Solution, Services)
    • 7.2.2. By Deployment Mode (On-Premise, Cloud)
    • 7.2.3. By Enterprise Size (Large enterprises, Small and medium-sized enterprises (SMEs))
    • 7.2.4. By Industry Vertical (BFSI, Government, Healthcare, Media & Entertainment, Retail, IT & Telecom, Automotive, Others)
    • 7.2.5. By Region (North America, Europe, South America, Middle East & Africa, Asia Pacific)
  • 7.3. By Company (2022)
  • 7.4. Market Map

8. North America AI Governance Market Outlook

  • 8.1. Market Size & Forecast
    • 8.1.1. By Value
  • 8.2. Market Share & Forecast
    • 8.2.1. By Component
    • 8.2.2. By Deployment Mode
    • 8.2.3. By Enterprise Size
    • 8.2.4. By Industry Vertical
    • 8.2.5. By Country
      • 8.2.5.1. United States AI Governance Market Outlook
        • 8.2.5.1.1. Market Size & Forecast
        • 8.2.5.1.1.1. By Value
        • 8.2.5.1.2. Market Share & Forecast
        • 8.2.5.1.2.1. By Component
        • 8.2.5.1.2.2. By Deployment Mode
        • 8.2.5.1.2.3. By Enterprise Size
        • 8.2.5.1.2.4. By Industry Vertical
      • 8.2.5.2. Canada AI Governance Market Outlook
        • 8.2.5.2.1. Market Size & Forecast
        • 8.2.5.2.1.1. By Value
        • 8.2.5.2.2. Market Share & Forecast
        • 8.2.5.2.2.1. By Component
        • 8.2.5.2.2.2. By Deployment Mode
        • 8.2.5.2.2.3. By Enterprise Size
        • 8.2.5.2.2.4. By Industry Vertical
      • 8.2.5.3. Mexico AI Governance Market Outlook
        • 8.2.5.3.1. Market Size & Forecast
        • 8.2.5.3.1.1. By Value
        • 8.2.5.3.2. Market Share & Forecast
        • 8.2.5.3.2.1. By Component
        • 8.2.5.3.2.2. By Deployment Mode
        • 8.2.5.3.2.3. By Enterprise Size
        • 8.2.5.3.2.4. By Industry Vertical

9. Europe AI Governance Market Outlook

  • 9.1. Market Size & Forecast
    • 9.1.1. By Value
  • 9.2. Market Share & Forecast
    • 9.2.1. By Component
    • 9.2.2. By Deployment Mode
    • 9.2.3. By Enterprise Size
    • 9.2.4. By Industry Vertical
    • 9.2.5. By Country
      • 9.2.5.1. Germany AI Governance Market Outlook
        • 9.2.5.1.1. Market Size & Forecast
        • 9.2.5.1.1.1. By Value
        • 9.2.5.1.2. Market Share & Forecast
        • 9.2.5.1.2.1. By Component
        • 9.2.5.1.2.2. By Deployment Mode
        • 9.2.5.1.2.3. By Enterprise Size
        • 9.2.5.1.2.4. By Industry Vertical
      • 9.2.5.2. France AI Governance Market Outlook
        • 9.2.5.2.1. Market Size & Forecast
        • 9.2.5.2.1.1. By Value
        • 9.2.5.2.2. Market Share & Forecast
        • 9.2.5.2.2.1. By Component
        • 9.2.5.2.2.2. By Deployment Mode
        • 9.2.5.2.2.3. By Enterprise Size
        • 9.2.5.2.2.4. By Industry Vertical
      • 9.2.5.3. United Kingdom AI Governance Market Outlook
        • 9.2.5.3.1. Market Size & Forecast
        • 9.2.5.3.1.1. By Value
        • 9.2.5.3.2. Market Share & Forecast
        • 9.2.5.3.2.1. By Component
        • 9.2.5.3.2.2. By Deployment Mode
        • 9.2.5.3.2.3. By Enterprise Size
        • 9.2.5.3.2.4. By Industry Vertical
      • 9.2.5.4. Italy AI Governance Market Outlook
        • 9.2.5.4.1. Market Size & Forecast
        • 9.2.5.4.1.1. By Value
        • 9.2.5.4.2. Market Share & Forecast
        • 9.2.5.4.2.1. By Component
        • 9.2.5.4.2.2. By Deployment Mode
        • 9.2.5.4.2.3. By Enterprise Size
        • 9.2.5.4.2.4. By Industry Vertical
      • 9.2.5.5. Spain AI Governance Market Outlook
        • 9.2.5.5.1. Market Size & Forecast
        • 9.2.5.5.1.1. By Value
        • 9.2.5.5.2. Market Share & Forecast
        • 9.2.5.5.2.1. By Component
        • 9.2.5.5.2.2. By Deployment Mode
        • 9.2.5.5.2.3. By Enterprise Size
        • 9.2.5.5.2.4. By Industry Vertical

10. South America AI Governance Market Outlook

  • 10.1. Market Size & Forecast
    • 10.1.1. By Value
  • 10.2. Market Share & Forecast
    • 10.2.1. By Component
    • 10.2.2. By Deployment Mode
    • 10.2.3. By Enterprise Size
    • 10.2.4. By Industry Vertical
    • 10.2.5. By Country
      • 10.2.5.1. Brazil AI Governance Market Outlook
        • 10.2.5.1.1. Market Size & Forecast
        • 10.2.5.1.1.1. By Value
        • 10.2.5.1.2. Market Share & Forecast
        • 10.2.5.1.2.1. By Component
        • 10.2.5.1.2.2. By Deployment Mode
        • 10.2.5.1.2.3. By Enterprise Size
        • 10.2.5.1.2.4. By Industry Vertical
      • 10.2.5.2. Colombia AI Governance Market Outlook
        • 10.2.5.2.1. Market Size & Forecast
        • 10.2.5.2.1.1. By Value
        • 10.2.5.2.2. Market Share & Forecast
        • 10.2.5.2.2.1. By Component
        • 10.2.5.2.2.2. By Deployment Mode
        • 10.2.5.2.2.3. By Enterprise Size
        • 10.2.5.2.2.4. By Industry Vertical
      • 10.2.5.3. Argentina AI Governance Market Outlook
        • 10.2.5.3.1. Market Size & Forecast
        • 10.2.5.3.1.1. By Value
        • 10.2.5.3.2. Market Share & Forecast
        • 10.2.5.3.2.1. By Component
        • 10.2.5.3.2.2. By Deployment Mode
        • 10.2.5.3.2.3. By Enterprise Size
        • 10.2.5.3.2.4. By Industry Vertical

11. Middle East & Africa AI Governance Market Outlook

  • 11.1. Market Size & Forecast
    • 11.1.1. By Value
  • 11.2. Market Share & Forecast
    • 11.2.1. By Component
    • 11.2.2. By Deployment Mode
    • 11.2.3. By Enterprise Size
    • 11.2.4. By Industry Vertical
    • 11.2.5. By Country
      • 11.2.5.1. Saudi Arabia AI Governance Market Outlook
        • 11.2.5.1.1. Market Size & Forecast
        • 11.2.5.1.1.1. By Value
        • 11.2.5.1.2. Market Share & Forecast
        • 11.2.5.1.2.1. By Component
        • 11.2.5.1.2.2. By Deployment Mode
        • 11.2.5.1.2.3. By Enterprise Size
        • 11.2.5.1.2.4. By Industry Vertical
      • 11.2.5.2. UAE AI Governance Market Outlook
        • 11.2.5.2.1. Market Size & Forecast
        • 11.2.5.2.1.1. By Value
        • 11.2.5.2.2. Market Share & Forecast
        • 11.2.5.2.2.1. By Component
        • 11.2.5.2.2.2. By Deployment Mode
        • 11.2.5.2.2.3. By Enterprise Size
        • 11.2.5.2.2.4. By Industry Vertical
      • 11.2.5.3. South Africa AI Governance Market Outlook
        • 11.2.5.3.1. Market Size & Forecast
        • 11.2.5.3.1.1. By Value
        • 11.2.5.3.2. Market Share & Forecast
        • 11.2.5.3.2.1. By Component
        • 11.2.5.3.2.2. By Deployment Mode
        • 11.2.5.3.2.3. By Enterprise Size
        • 11.2.5.3.2.4. By Industry Vertical

12. Asia Pacific AI Governance Market Outlook

  • 12.1. Market Size & Forecast
    • 12.1.1. By Value
  • 12.2. Market Size & Forecast
    • 12.2.1. By Component
    • 12.2.2. By Deployment Mode
    • 12.2.3. By Enterprise Size
    • 12.2.4. By Industry Vertical
    • 12.2.5. By Country
      • 12.2.5.1. China AI Governance Market Outlook
        • 12.2.5.1.1. Market Size & Forecast
        • 12.2.5.1.1.1. By Value
        • 12.2.5.1.2. Market Share & Forecast
        • 12.2.5.1.2.1. By Component
        • 12.2.5.1.2.2. By Deployment Mode
        • 12.2.5.1.2.3. By Enterprise Size
        • 12.2.5.1.2.4. By Industry Vertical
      • 12.2.5.2. India AI Governance Market Outlook
        • 12.2.5.2.1. Market Size & Forecast
        • 12.2.5.2.1.1. By Value
        • 12.2.5.2.2. Market Share & Forecast
        • 12.2.5.2.2.1. By Component
        • 12.2.5.2.2.2. By Deployment Mode
        • 12.2.5.2.2.3. By Enterprise Size
        • 12.2.5.2.2.4. By Industry Vertical
      • 12.2.5.3. Japan AI Governance Market Outlook
        • 12.2.5.3.1. Market Size & Forecast
        • 12.2.5.3.1.1. By Value
        • 12.2.5.3.2. Market Share & Forecast
        • 12.2.5.3.2.1. By Component
        • 12.2.5.3.2.2. By Deployment Mode
        • 12.2.5.3.2.3. By Enterprise Size
        • 12.2.5.3.2.4. By Industry Vertical
      • 12.2.5.4. South Korea AI Governance Market Outlook
        • 12.2.5.4.1. Market Size & Forecast
        • 12.2.5.4.1.1. By Value
        • 12.2.5.4.2. Market Share & Forecast
        • 12.2.5.4.2.1. By Component
        • 12.2.5.4.2.2. By Deployment Mode
        • 12.2.5.4.2.3. By Enterprise Size
        • 12.2.5.4.2.4. By Industry Vertical
      • 12.2.5.5. Australia AI Governance Market Outlook
        • 12.2.5.5.1. Market Size & Forecast
        • 12.2.5.5.1.1. By Value
        • 12.2.5.5.2. Market Share & Forecast
        • 12.2.5.5.2.1. By Component
        • 12.2.5.5.2.2. By Deployment Mode
        • 12.2.5.5.2.3. By Enterprise Size
        • 12.2.5.5.2.4. By Industry Vertical

13. Market Dynamics

  • 13.1. Drivers
  • 13.2. Challenges

14. Market Trends and Developments

15. Company Profiles

  • 15.1. Alphabet Inc.
    • 15.1.1. Business Overview
    • 15.1.2. Key Revenue and Financials
    • 15.1.3. Recent Developments
    • 15.1.4. Key Personnel
    • 15.1.5. Key Product/Services Offered
  • 15.2. Microsoft Corporation
    • 15.2.1. Business Overview
    • 15.2.2. Key Revenue and Financials
    • 15.2.3. Recent Developments
    • 15.2.4. Key Personnel
    • 15.2.5. Key Product/Services Offered
  • 15.3. IBM Corporation
    • 15.3.1. Business Overview
    • 15.3.2. Key Revenue and Financials
    • 15.3.3. Recent Developments
    • 15.3.4. Key Personnel
    • 15.3.5. Key Product/Services Offered
  • 15.4. SAP SE
    • 15.4.1. Business Overview
    • 15.4.2. Key Revenue and Financials
    • 15.4.3. Recent Developments
    • 15.4.4. Key Personnel
    • 15.4.5. Key Product/Services Offered
  • 15.5. Salesforce.com, Inc.
    • 15.5.1. Business Overview
    • 15.5.2. Key Revenue and Financials
    • 15.5.3. Recent Developments
    • 15.5.4. Key Personnel
    • 15.5.5. Key Product/Services Offered
  • 15.6. Amazon Web Services, Inc.
    • 15.6.1. Business Overview
    • 15.6.2. Key Revenue and Financials
    • 15.6.3. Recent Developments
    • 15.6.4. Key Personnel
    • 15.6.5. Key Product/Services Offered
  • 15.7. QlikTech International AB
    • 15.7.1. Business Overview
    • 15.7.2. Key Revenue and Financials
    • 15.7.3. Recent Developments
    • 15.7.4. Key Personnel
    • 15.7.5. Key Product/Services Offered
  • 15.8. TIBCO Software Inc.
    • 15.8.1. Business Overview
    • 15.8.2. Key Revenue and Financials
    • 15.8.3. Recent Developments
    • 15.8.4. Key Personnel
    • 15.8.5. Key Product/Services Offered
  • 15.9. SAS Institute Inc.
    • 15.9.1. Business Overview
    • 15.9.2. Key Revenue and Financials
    • 15.9.3. Recent Developments
    • 15.9.4. Key Personnel
    • 15.9.5. Key Product/Services Offered
  • 15.10. Meta Platforms, Inc.
    • 15.10.1. Business Overview
    • 15.10.2. Key Revenue and Financials
    • 15.10.3. Recent Developments
    • 15.10.4. Key Personnel
    • 15.10.5. Key Product/Services Offered

16. Strategic Recommendations

17. About Us & Disclaimer