到 2030 年人工智慧 (AI) 治理市场预测：按组件、技术、部署模式、组织规模、最终用户和地区进行的全球分析

据Stratistics MRC称，2023年全球人工智慧（AI）治理市场规模为1.96亿美元，预计到2030年将达到31.361亿美元，预测期内年复合成长率为48.6%，预计还会增长。

人工智慧治理的前提是建立法律体制，以确保机器学习（ML）技术的适当研究和开发，以便人类能够公平地操作人工智慧系统。随着人工智慧（AI）在交通、商业、医疗、教育和公共安全等各行业的广泛部署，人工智慧治理的重要性正在迅速增加。人工智慧治理可用于这些领域，以建立线上和线下功能，例如即时报价管理、自动结帐流程和改进的客户分析。

根据 Willis Towers Watson 人工智慧和数数位人才调查，目前全球有 22,000 名接受过人工智慧培训的专业人员。

对透明度和建立信任的需求日益增长

对人工智慧决策透明度和建立对人工智慧系统的信任的需求不断增加，正在推动这一领域的成长。透过添加机器学习演算法和深度学习框架，人工智慧治理製造商越来越注重改进人工智慧、云端解决方案和服务。由于人工智慧治理解决方案的不断研究和应用，以确定实现企业目标的最实用手段，该市场正在不断增长。

缺乏全球公认的原则

如果没有一致的治理框架，人工智慧环境将因课责和透明度方面的差距而支离破碎。这种差异使得许多公司、政府和法规难以製定明确的标准、强制合规并培养对人工智慧系统的信任。因此，建立全球公认的规范和框架对于确保人工智慧的道德和公平采用至关重要，同时降低风险并维持社会对人工智慧技术的信任，变得非常重要。预计这些因素将阻碍市场扩张。

增加人工智慧技术的使用

对偏见、资料隐私、课责和透明度的日益担忧正在推动许多行业（包括医疗保健、银行、製造和运输）采用这些人工智慧框架。人工智慧技术在航太和国防、医疗保健和 BFSI 等领域的日益广泛使用正在显着推动市场扩张。因此，所有公司都拥有全面的治理机制，以确保道德和负责任的人工智慧实践。

缺乏人工智慧知识和能力

随着人工智慧的快速发展，良好治理和法规的要求越来越重要。由于缺乏理解和处理围绕人工智慧的复杂伦理、法律和社会学挑战所需的知识，预计市场成长将受到限制。此外，设计强而有力的法律法规的专家必须对人工智慧技术、其潜在危险和更广泛的社会影响有透彻的了解。因此，缺乏合格的专家来减轻这些风险预计将进一步阻碍采用。

新冠肺炎 (COVID-19) 影响：

疫情带来的关闭和法规引发了网路活动的增加，包括远端医疗、远距学习和虚拟社交联繫。这些线上活动的变化引发了人们对网路安全、数位福祉和负责任的公民身份的担忧。在大流行期间，围绕促进道德线上行为和解决数位落差问题的数位素养和教育人工智慧治理市场已变得更加广为人知。随着公司努力以合乎道德的方式整合这些技术，对合乎道德的人工智慧、负责任的技术开发和数数位道德咨询服务的需求正在不断增长。

预计解决方案部门在预测期内将是最大的

由于多元化市场竞争的存在，预计解决方案领域将在预测期内达到最高水准。我们的供应商致力于始终如一地提供创新和创造性的解决方案，与技术进步保持同步，以满足最终用户行业不断增长的客户需求。整合到客户 IT 基础设施的愿望以及实施治理系统和软体的复杂性将推动整合服务的成长。

预计本地细分市场在预测期内的年复合成长率最高。

预计本地细分市场在预测期内的年复合成长率最高。资料治理、可解释的人工智慧、边缘运算、与 DevOps 工作流程的整合、可扩展性和弹性是推动产业成长的一些关键趋势。这些趋势显示人工智慧治理变得多么重要，以及公司对其进行监督的重要性。对提供具有适当安全措施的单一整体网路的传统本地环境的需求正在推动该细分市场的成长。

比最大的地区

由于商业和政府组织对人工智慧 (Al) 的利用不断增加，预计北美将在预测期内占据最大的市场份额。由于该国强劲的经济，人工智慧和治理供应商能够投资最尖端科技。此外，美国和加拿大等已开发国家的公司早期采用机器学习等技术预计将刺激该地区的市场扩张。

复合年复合成长率最高的地区：

预计亚太地区在预测期内将维持最高的年复合成长率。该地区各国政府正在迅速采取行动，建设 5G 网路和资料中心等尖端基础设施。随着人工智慧技术中日益增长的道德担忧推动法规结构的创建，以确保机器学习演算法造福人类，预计该地区人工智慧服务的采用率将会下降。此外，随着政府越来越多地采用人工智慧治理，该行业预计将会崛起。

提供免费客製化：

订阅此报告的客户可以存取以下免费自订选项之一：

• 公司简介
  • 其他市场参与者的综合分析（最多 3 家公司）
  • 主要企业SWOT分析（最多3家企业）
• 区域分割
  • 根据客户兴趣对主要国家的市场估计、预测和年复合成长率（註：基于可行性检查）
• 竞争基准化分析
  • 根据产品系列、地理分布和策略联盟对主要企业基准化分析

目录

第1章执行摘要

第2章前言

• 概述
• 利害关係人
• 调查范围
• 调查方法
  • 资料探勘
  • 资料分析
  • 资料检验
  • 研究途径
• 调查来源
  • 主要调查来源
  • 二次调查来源
  • 先决条件

第3章市场趋势分析

• 促进因素
• 抑制因素
• 机会
• 威胁
• 技术分析
• 最终用户分析
• 新兴市场
• 新型冠状病毒感染疾病（COVID-19）的影响

第4章波特五力分析

• 供应商的议价能力
• 买方议价能力
• 替代品的威胁
• 新进入者的威胁
• 竞争公司之间的敌对关係

第5章全球人工智慧（AI）治理市场：按组成部分

• 解决方案
  • 平台
  • 软体工具
• 服务
  • 咨询
  • 整合
  • 支援与维护

第6章全球人工智慧（AI）治理市场：依技术分类

• 电脑视觉
• 机器学习
• 自然语言处理
• 其他技术

第7章全球人工智慧（AI）治理市场：按部署模式

• 云
• 本地

第8章全球人工智慧（AI）治理市场：依组织规模

• 中小企业 (SME)
• 大公司

第9章全球人工智慧（AI）治理市场：依最终用户分类

• BFSI
• 医疗保健和生命科学
• 政府和国防
• 媒体与娱乐
• 电讯
• 零售
• 汽车
• 製造业
• 其他最终用户

第10章全球人工智慧（AI）治理市场：按地区

• 北美洲
  • 美国
  • 加拿大
  • 墨西哥
• 欧洲
  • 德国
  • 英国
  • 义大利
  • 法国
  • 西班牙
  • 其他欧洲国家
• 亚太地区
  • 日本
  • 中国
  • 印度
  • 澳洲
  • 纽西兰
  • 韩国
  • 其他亚太地区
• 南美洲
  • 阿根廷
  • 巴西
  • 智利
  • 南美洲其他地区
• 中东和非洲
  • 沙乌地阿拉伯
  • 阿拉伯聯合大公国
  • 卡达
  • 南非
  • 其他中东和非洲

第11章进展

• 合约、伙伴关係、协作和合资企业
• 收购和合併
• 新产品发布
• 业务扩展
• 其他关键策略

第12章公司简介

• Alphabet Inc.
• Amazon Web Services, Inc.
• AnotherBrain
• Ataccama Corporation
• DarwinAI
• DataRobot, Inc.
• Facebook
• FICO
• Fiddler Labs, Inc
• IBM Corporation
• Informatica LLC
• Microsoft Corporation
• MindsDB Inc.
• Pymetrics Inc.
• QlikTech International AB
• SAP SE
• SAS Institute Inc.
• SparkCognition, Inc.
• TIBCO Software Inc.
• Zest AI

According to Stratistics MRC, the Global Artificial Intelligence (AI) Governance Market is accounted for $196.0 million in 2023 and is expected to reach $3,136.1 million by 2030 growing at a CAGR of 48.6% during the forecast period. AI governance is predicated on the premise that a legislative framework should be in place to ensure proper research and development of machine learning (ML) technologies to assist humanity in navigating AI systems fairly. The importance of AI governance is growing quickly due to the widespread deployment of artificial intelligence (AI) across a variety of industries, including transportation, commerce, healthcare, education, and public safety. AI governance can be used in these sectors to create online and offline features including real-time offer management, automated checkout processes, and improved customer analytics.

According to the Artificial Intelligence and Digital Talent Survey conducted by Willis Towers Watson, currently, there are 22,000 AI-trained professionals in the world.

Market Dynamics:

Driver:

Growing need for transparency and trust building

Increase in demand for AI decision-making transparency and the growing requirement to establish trust in AI systems is driving the segment growth. By adding machine learning algorithms and deep learning frameworks, manufacturers of AI governance are concentrating more on improvements in AI, cloud solutions, and services. Due to the ongoing research and application of AI governance solutions to determine the most practical means of achieving company objectives, the market is growing.

Restraint:

Lack of globally acknowledged principles

Without consistent governance frameworks, the AI environment will be fragmented with disparities in accountability and transparency. It will therefore be challenging for many enterprises, governments, and regulatory agencies to establish clear standards, enforce compliance, and foster trust in AI systems as a result of this discrepancy. As a result, it is crucial to establish globally acknowledged norms and frameworks in order to assure ethical and fair AI deployment while lowering risks and sustaining public confidence in AI technology. These elements are anticipated to impede market expansion.

Opportunity:

Increasing use of AI technology

A growing number of industries, including healthcare, banking, manufacturing, and transportation, are adopting these AI frameworks as a result of growing worries about bias, data privacy, accountability, and transparency. The market expansion is being considerably fuelled by factors like the expanding use of AI technologies across sectors like aerospace and defence, healthcare, and BFSI, among others. As a result, comprehensive governance mechanisms exist across all enterprises to guarantee ethical and responsible AI practices.

Threat:

Lack of knowledge and abilities in AI

The requirement for good governance and regulation is growing in significance as artificial intelligence develops quickly. Growth in the market is anticipated to be constrained by the lack of knowledge needed to comprehend and handle the intricate ethical, legal, and sociological challenges surrounding AI. Additionally, experts in designing strong legislation and regulations must have a thorough understanding of AI technology, their possible dangers, and the broader societal ramifications. Therefore, it is anticipated that the absence of qualified specialists to reduce these risks will further impede adoption.

COVID-19 Impact:

Lockdowns and restrictions brought on by the pandemic have sparked an increase in internet activities including telemedicine, remote learning, and virtual social contacts. This change in online activity has sparked worries about online safety, digital well-being, and responsible citizenship. During the pandemic, the AI governance market for digital literacy and education-which is cantered on fostering moral online conduct and tackling the digital divide issues-has been more well-known. The need for ethical AI, responsible technology development, and consulting services in digital ethics is rising as firms work to integrate these technologies in an ethical manner.

The solution segment is expected to be the largest during the forecast period

The solution segment is expected to be the largest during the forecast period owing to the existence of well-diversified market competitors. Suppliers are focusing on providing innovative, creative solutions consistently in pace with technology improvement in order to meet the growing client demand across numerous end-user industry verticals. The desire for integrating them into customers' IT infrastructures and the complexity of adopting Al governance systems and software will drive the growth of integration services.

The on-premises segment is expected to have the highest CAGR during the forecast period

The on-premises segment is expected to have the highest CAGR during the forecast period. Data governance, explainable AI, edge computing, integration with DevOps workflows, scalability, and flexibility are some of the main trends that are driving the industry's growth. These developments demonstrate how important AI governance is becoming and how important it is for enterprises to oversee AI governance. The demand for a traditional on-premises environment that offers a single monolithic network with adequate security measures is driving the segment growth.

Region with largest share:

North America is projected to hold the largest market share during the forecast period due to the increased use of artificial intelligence (Al) by commercial and governmental organizations. Vendors of AI and governance are able to invest in cutting-edge technologies thanks to the country's strong economy. Additionally, it is projected that early adoption of technologies like machine learning by enterprises in developed nations like the U.S. and Canada will stimulate market expansion in the region.

Region with highest CAGR:

Asia Pacific is projected to hold the highest CAGR over the forecast period. Governments in this region are moving quickly to build cutting-edge infrastructure, such 5G networks and data centers. Due to growing ethical concerns in AI technology, which are leading to the creation of a regulatory framework to guarantee that the ML algorithm works for the good of humanity, adoption of AI-powered services in the region is predicted to decrease. Moreover, the industry is anticipated to rise as governments increasingly deploy AI governance.

Key players in the market:

Some of the key players in Artificial Intelligence (AI) Governance market include: Alphabet Inc., Amazon Web Services, Inc., AnotherBrain, Ataccama Corporation, DarwinAI , DataRobot, Inc., Facebook, FICO , Fiddler Labs, Inc, IBM Corporation, Informatica LLC, Microsoft Corporation, MindsDB Inc., Pymetrics Inc., QlikTech International AB, SAP SE, SAS Institute Inc., SparkCognition, Inc., TIBCO Software Inc. and Zest AI.

Key Developments:

In March 2023, SAS introduced a fantastic machine learning tool. One of the top analytics and AI products for 2023 is SAS Viya.

In February 2022, Meta AI announced opening of sourced data2vec, a unified framework for self-supervised deep learning on speech audio, images, and text data.

In February 2022, Virtana announced the development of a hybrid cloud management solutions platform leveraging ML, AI, and data analytics that allows the customers to plan and execute as well as mange their hybrid cloud implementations.

Components Covered:

• Solution
• Services

Technologies Covered:

• Computer Vision
• Machine Learning
• Natural Language Processing
• Other Technologies

Deployment Modes Covered:

• Cloud
• On-premises

Organization Sizes Covered:

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

End Users Covered:

• BFSI
• Healthcare & Life Sciences
• Government & Defence
• Media & Entertainment
• Telecom
• Retail
• Automotive
• Manufacturing
• Other End Users

Regions Covered:

• North America
  • US
  • Canada
  • Mexico
• Europe
  • Germany
  • UK
  • Italy
  • France
  • Spain
  • Rest of Europe
• Asia Pacific
  • Japan
  • China
  • India
  • Australia
  • New Zealand
  • South Korea
  • Rest of Asia Pacific
• South America
  • Argentina
  • Brazil
  • Chile
  • Rest of South America
• Middle East & Africa
  • Saudi Arabia
  • UAE
  • Qatar
  • South Africa
  • Rest of Middle East & Africa

What our report offers:

• Market share assessments for the regional and country-level segments
• Strategic recommendations for the new entrants
• Covers Market data for the years 2021, 2022, 2023, 2026, and 2030
• Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
• Strategic recommendations in key business segments based on the market estimations
• Competitive landscaping mapping the key common trends
• Company profiling with detailed strategies, financials, and recent developments
• Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

• Company Profiling
  • Comprehensive profiling of additional market players (up to 3)
  • SWOT Analysis of key players (up to 3)
• Regional Segmentation
  • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
  • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

• 2.1 Abstract
• 2.2 Stake Holders
• 2.3 Research Scope
• 2.4 Research Methodology
  • 2.4.1 Data Mining
  • 2.4.2 Data Analysis
  • 2.4.3 Data Validation
  • 2.4.4 Research Approach
• 2.5 Research Sources
  • 2.5.1 Primary Research Sources
  • 2.5.2 Secondary Research Sources
  • 2.5.3 Assumptions

3 Market Trend Analysis

• 3.1 Introduction
• 3.2 Drivers
• 3.3 Restraints
• 3.4 Opportunities
• 3.5 Threats
• 3.6 Technology Analysis
• 3.7 End User Analysis
• 3.8 Emerging Markets
• 3.9 Impact of Covid-19

4 Porters Five Force Analysis

• 4.1 Bargaining power of suppliers
• 4.2 Bargaining power of buyers
• 4.3 Threat of substitutes
• 4.4 Threat of new entrants
• 4.5 Competitive rivalry

5 Global Artificial Intelligence (AI) Governance Market, By Component

• 5.1 Introduction
• 5.2 Solution
  • 5.2.1 Platform
  • 5.2.2 Software Tools
• 5.3 Services
  • 5.3.1 Consulting
  • 5.3.2 Integration
  • 5.3.3 Support & Maintenance

6 Global Artificial Intelligence (AI) Governance Market, By Technology

• 6.1 Introduction
• 6.2 Computer Vision
• 6.3 Machine Learning
• 6.4 Natural Language Processing
• 6.5 Other Technologies

7 Global Artificial Intelligence (AI) Governance Market, By Deployment Mode

• 7.1 Introduction
• 7.2 Cloud
• 7.3 On-premises

8 Global Artificial Intelligence (AI) Governance Market, By Organization Size

• 8.1 Introduction
• 8.2 Small and medium-sized enterprises (SMEs)
• 8.3 Large enterprises

9 Global Artificial Intelligence (AI) Governance Market, By End User

• 9.1 Introduction
• 9.2 BFSI
• 9.3 Healthcare & Life Sciences
• 9.4 Government & Defence
• 9.5 Media & Entertainment
• 9.6 Telecom
• 9.7 Retail
• 9.8 Automotive
• 9.9 Manufacturing
• 9.10 Other End Users

10 Global Artificial Intelligence (AI) Governance Market, By Geography

• 10.1 Introduction
• 10.2 North America
  • 10.2.1 US
  • 10.2.2 Canada
  • 10.2.3 Mexico
• 10.3 Europe
  • 10.3.1 Germany
  • 10.3.2 UK
  • 10.3.3 Italy
  • 10.3.4 France
  • 10.3.5 Spain
  • 10.3.6 Rest of Europe
• 10.4 Asia Pacific
  • 10.4.1 Japan
  • 10.4.2 China
  • 10.4.3 India
  • 10.4.4 Australia
  • 10.4.5 New Zealand
  • 10.4.6 South Korea
  • 10.4.7 Rest of Asia Pacific
• 10.5 South America
  • 10.5.1 Argentina
  • 10.5.2 Brazil
  • 10.5.3 Chile
  • 10.5.4 Rest of South America
• 10.6 Middle East & Africa
  • 10.6.1 Saudi Arabia
  • 10.6.2 UAE
  • 10.6.3 Qatar
  • 10.6.4 South Africa
  • 10.6.5 Rest of Middle East & Africa

11 Key Developments

• 11.1 Agreements, Partnerships, Collaborations and Joint Ventures
• 11.2 Acquisitions & Mergers
• 11.3 New Product Launch
• 11.4 Expansions
• 11.5 Other Key Strategies

12 Company Profiling

• 12.1 Alphabet Inc.
• 12.2 Amazon Web Services, Inc.
• 12.3 AnotherBrain
• 12.4 Ataccama Corporation
• 12.5 DarwinAI
• 12.6 DataRobot, Inc.
• 12.7 Facebook
• 12.8 FICO
• 12.9 Fiddler Labs, Inc
• 12.10 IBM Corporation
• 12.11 Informatica LLC
• 12.12 Microsoft Corporation
• 12.13 MindsDB Inc.
• 12.14 Pymetrics Inc.
• 12.15 QlikTech International AB
• 12.16 SAP SE
• 12.17 SAS Institute Inc.
• 12.18 SparkCognition, Inc.
• 12.19 TIBCO Software Inc.
• 12.20 Zest AI

List of Tables

• Table 1 Global Artificial Intelligence (AI) Governance Market Outlook, By Region (2021-2030) ($MN)
• Table 2 Global Artificial Intelligence (AI) Governance Market Outlook, By Component (2021-2030) ($MN)
• Table 3 Global Artificial Intelligence (AI) Governance Market Outlook, By Solution (2021-2030) ($MN)
• Table 4 Global Artificial Intelligence (AI) Governance Market Outlook, By Platform (2021-2030) ($MN)
• Table 5 Global Artificial Intelligence (AI) Governance Market Outlook, By Software Tools (2021-2030) ($MN)
• Table 6 Global Artificial Intelligence (AI) Governance Market Outlook, By Services (2021-2030) ($MN)
• Table 7 Global Artificial Intelligence (AI) Governance Market Outlook, By Consulting (2021-2030) ($MN)
• Table 8 Global Artificial Intelligence (AI) Governance Market Outlook, By Integration (2021-2030) ($MN)
• Table 9 Global Artificial Intelligence (AI) Governance Market Outlook, By Support & Maintenance (2021-2030) ($MN)
• Table 10 Global Artificial Intelligence (AI) Governance Market Outlook, By Technology (2021-2030) ($MN)
• Table 11 Global Artificial Intelligence (AI) Governance Market Outlook, By Computer Vision (2021-2030) ($MN)
• Table 12 Global Artificial Intelligence (AI) Governance Market Outlook, By Machine Learning (2021-2030) ($MN)
• Table 13 Global Artificial Intelligence (AI) Governance Market Outlook, By Natural Language Processing (2021-2030) ($MN)
• Table 14 Global Artificial Intelligence (AI) Governance Market Outlook, By Other Technologies (2021-2030) ($MN)
• Table 15 Global Artificial Intelligence (AI) Governance Market Outlook, By Deployment Mode (2021-2030) ($MN)
• Table 16 Global Artificial Intelligence (AI) Governance Market Outlook, By Cloud (2021-2030) ($MN)
• Table 17 Global Artificial Intelligence (AI) Governance Market Outlook, By On-premises (2021-2030) ($MN)
• Table 18 Global Artificial Intelligence (AI) Governance Market Outlook, By Organization Size (2021-2030) ($MN)
• Table 19 Global Artificial Intelligence (AI) Governance Market Outlook, By Small and medium-sized enterprises (SMEs) (2021-2030) ($MN)
• Table 20 Global Artificial Intelligence (AI) Governance Market Outlook, By Large enterprises (2021-2030) ($MN)
• Table 21 Global Artificial Intelligence (AI) Governance Market Outlook, By End User (2021-2030) ($MN)
• Table 22 Global Artificial Intelligence (AI) Governance Market Outlook, By BFSI (2021-2030) ($MN)
• Table 23 Global Artificial Intelligence (AI) Governance Market Outlook, By Healthcare & Life Sciences (2021-2030) ($MN)
• Table 24 Global Artificial Intelligence (AI) Governance Market Outlook, By Government & Defence (2021-2030) ($MN)
• Table 25 Global Artificial Intelligence (AI) Governance Market Outlook, By Media & Entertainment (2021-2030) ($MN)
• Table 26 Global Artificial Intelligence (AI) Governance Market Outlook, By Telecom (2021-2030) ($MN)
• Table 27 Global Artificial Intelligence (AI) Governance Market Outlook, By Retail (2021-2030) ($MN)
• Table 28 Global Artificial Intelligence (AI) Governance Market Outlook, By Automotive (2021-2030) ($MN)
• Table 29 Global Artificial Intelligence (AI) Governance Market Outlook, By Manufacturing (2021-2030) ($MN)
• Table 30 Global Artificial Intelligence (AI) Governance Market Outlook, By Other End Users (2021-2030) ($MN)

List of Figures

Figure 1 Artificial Intelligence (AI) Governance - Market Segmentation

Figure 2 Research Methodology

Figure 3 Data Mining

Figure 4 Data Analysis

Figure 5 Data Validation

Figure 6 Research Pipeline

Figure 7 Research Approach

Figure 8 Research Sources

Figure 9 Artificial Intelligence (AI) Governance Market Scenario, Technology (2023) (% Market Share)

Figure 10 Artificial Intelligence (AI) Governance Market Scenario, End User (2023) (% Market Share)

Figure 11 Artificial Intelligence (AI) Governance Market Scenario, Emerging Markets (2023) (% Market Share)

Figure 12 Porter's Five Forces Analysis - Artificial Intelligence (AI) Governance

Figure 13 Global Artificial Intelligence (AI) Governance Market Analysis & Projection, By Component (2023 VS 2030) (US$MN)

Figure 14 Global Artificial Intelligence (AI) Governance Market Analysis & Projection, By Solution (2023 VS 2030) (US$MN)

Figure 15 Global Artificial Intelligence (AI) Governance Market Analysis & Projection, By Platform (2023 VS 2030) (US$MN)

Figure 16 Global Artificial Intelligence (AI) Governance Market Analysis & Projection, By Software Tools (2023 VS 2030) (US$MN)

Figure 17 Global Artificial Intelligence (AI) Governance Market Analysis & Projection, By Services (2023 VS 2030) (US$MN)

Figure 18 Global Artificial Intelligence (AI) Governance Market Analysis & Projection, By Consulting (2023 VS 2030) (US$MN)

Figure 19 Global Artificial Intelligence (AI) Governance Market Analysis & Projection, By Integration (2023 VS 2030) (US$MN)

Figure 20 Global Artificial Intelligence (AI) Governance Market Analysis & Projection, By Support & Maintenance (2023 VS 2030) (US$MN)

Figure 21 Global Artificial Intelligence (AI) Governance Market Analysis & Projection, By Technology (2023 VS 2030) (US$MN)

Figure 22 Global Artificial Intelligence (AI) Governance Market Analysis & Projection, By Computer Vision (2023 VS 2030) (US$MN)

Figure 23 Global Artificial Intelligence (AI) Governance Market Analysis & Projection, By Machine Learning (2023 VS 2030) (US$MN)

Figure 24 Global Artificial Intelligence (AI) Governance Market Analysis & Projection, By Natural Language Processing (2023 VS 2030) (US$MN)

Figure 25 Global Artificial Intelligence (AI) Governance Market Analysis & Projection, By Other Technologies (2023 VS 2030) (US$MN)

Figure 26 Global Artificial Intelligence (AI) Governance Market Analysis & Projection, By Deployment Mode (2023 VS 2030) (US$MN)

Figure 27 Global Artificial Intelligence (AI) Governance Market Analysis & Projection, By Cloud (2023 VS 2030) (US$MN)

Figure 28 Global Artificial Intelligence (AI) Governance Market Analysis & Projection, By On-premises (2023 VS 2030) (US$MN)

Figure 29 Global Artificial Intelligence (AI) Governance Market Analysis & Projection, By Organization Size (2023 VS 2030) (US$MN)

Figure 30 Global Artificial Intelligence (AI) Governance Market Analysis & Projection, By Small and medium-sized enterprises (SMEs) (2023 VS 2030) (US$MN)

Figure 31 Global Artificial Intelligence (AI) Governance Market Analysis & Projection, By Large enterprises (2023 VS 2030) (US$MN)

Figure 32 Global Artificial Intelligence (AI) Governance Market Analysis & Projection, By End User (2023 VS 2030) (US$MN)

Figure 33 Global Artificial Intelligence (AI) Governance Market Analysis & Projection, By BFSI (2023 VS 2030) (US$MN)

Figure 34 Global Artificial Intelligence (AI) Governance Market Analysis & Projection, By Healthcare & Life Sciences (2023 VS 2030) (US$MN)

Figure 35 Global Artificial Intelligence (AI) Governance Market Analysis & Projection, By Government & Defence (2023 VS 2030) (US$MN)

Figure 36 Global Artificial Intelligence (AI) Governance Market Analysis & Projection, By Media & Entertainment (2023 VS 2030) (US$MN)

Figure 37 Global Artificial Intelligence (AI) Governance Market Analysis & Projection, By Telecom (2023 VS 2030) (US$MN)

Figure 38 Global Artificial Intelligence (AI) Governance Market Analysis & Projection, By Retail (2023 VS 2030) (US$MN)

Figure 39 Global Artificial Intelligence (AI) Governance Market Analysis & Projection, By Automotive (2023 VS 2030) (US$MN)

Figure 40 Global Artificial Intelligence (AI) Governance Market Analysis & Projection, By Manufacturing (2023 VS 2030) (US$MN)

Figure 41 Global Artificial Intelligence (AI) Governance Market Analysis & Projection, By Other End Users (2023 VS 2030) (US$MN)

Figure 42 Global Artificial Intelligence (AI) Governance Market Analysis & Projection, By Geography (2023 VS 2030) (US$MN)

Figure 43 Global Artificial Intelligence (AI) Governance Market Analysis & Projection, By Country (2023 VS 2030) (US$MN)

Figure 44 Global Artificial Intelligence (AI) Governance Market Analysis & Projection, By North America (2023 VS 2030) (US$MN)

Figure 45 Global Artificial Intelligence (AI) Governance Market Analysis & Projection, By Europe (2023 VS 2030) (US$MN)

Figure 46 Global Artificial Intelligence (AI) Governance Market Analysis & Projection, By Asia Pacific (2023 VS 2030) (US$MN)

Figure 47 Global Artificial Intelligence (AI) Governance Market Analysis & Projection, By South America (2023 VS 2030) (US$MN)

Figure 48 Global Artificial Intelligence (AI) Governance Market Analysis & Projection, By Middle East & Africa (2023 VS 2030) (US$MN)

Figure 49 Alphabet Inc. - Swot Analysis

Figure 50 Amazon Web Services, Inc. - Swot Analysis

Figure 51 AnotherBrain - Swot Analysis

Figure 52 Ataccama Corporation - Swot Analysis

Figure 53 DarwinAI - Swot Analysis

Figure 54 DataRobot, Inc. - Swot Analysis

Figure 55 Facebook - Swot Analysis

Figure 56 FICO - Swot Analysis

Figure 57 Fiddler Labs, Inc - Swot Analysis

Figure 58 IBM Corporation - Swot Analysis

Figure 59 Informatica LLC - Swot Analysis

Figure 60 Microsoft Corporation - Swot Analysis

Figure 61 MindsDB Inc. - Swot Analysis

Figure 62 Pymetrics Inc. - Swot Analysis

Figure 63 QlikTech International AB - Swot Analysis

Figure 64 SAP SE - Swot Analysis

Figure 65 SAS Institute Inc. - Swot Analysis

Figure 66 SparkCognition, Inc. - Swot Analysis

Figure 67 TIBCO Software Inc. - Swot Analysis

Figure 68 Zest AI - Swot Analysis