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到 2030 年人工智慧 (AI) 治理市場預測：按組件、技術、部署模式、組織規模、最終用戶和地區進行的全球分析
市場調查報告書
商品編碼
1358996

到 2030 年人工智慧 (AI) 治理市場預測：按組件、技術、部署模式、組織規模、最終用戶和地區進行的全球分析

Artificial Intelligence (AI) Governance Market Forecasts to 2030 - Global Analysis By Component (Solution and Services), Technology, Deployment Mode, Organization Size, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3個工作天內

價格

據Stratistics MRC稱，2023年全球人工智慧（AI）治理市場規模為1.96億美元，預計到2030年將達到31.361億美元，預測期內年複合成長率為48.6%，預計還會成長。

人工智慧治理的前提是建立法律體制，以確保機器學習（ML）技術的適當研究和開發，以便人類能夠公平地操作人工智慧系統。隨著人工智慧（AI）在交通、商業、醫療、教育和公共安全等各行業的廣泛部署，人工智慧治理的重要性正在迅速增加。人工智慧治理可用於這些領域，以建立線上和線下功能，例如即時報價管理、自動結帳流程和改進的客戶分析。

根據 Willis Towers Watson 人工智慧和數位人才調查，目前全球有 22,000 名接受過人工智慧培訓的專業人員。

對透明度和建立信任的需求日益成長

對人工智慧決策透明度和建立對人工智慧系統的信任的需求不斷增加，正在推動這一領域的成長。透過添加機器學習演算法和深度學習框架，人工智慧治理製造商越來越注重改進人工智慧、雲端解決方案和服務。由於人工智慧治理解決方案的不斷研究和應用，以確定實現企業目標的最實用手段，該市場正在不斷成長。

缺乏全球公認的原則

如果沒有一致的治理框架，人工智慧環境將因課責和透明度方面的差距而支離破碎。這種差異使得許多公司、政府和法規難以製定明確的標準、強制合規並培養對人工智慧系統的信任。因此，建立全球公認的規範和框架對於確保人工智慧的道德和公平採用至關重要，同時降低風險並維持社會對人工智慧技術的信任，變得非常重要。預計這些因素將阻礙市場擴張。

增加人工智慧技術的使用

對偏見、資料隱私、課責和透明度的日益擔憂正在推動許多行業（包括醫療保健、銀行、製造和運輸）採用這些人工智慧框架。人工智慧技術在航太和國防、醫療保健和 BFSI 等領域的日益廣泛使用正在顯著推動市場擴張。因此，所有公司都擁有全面的治理機制，以確保道德和負責任的人工智慧實踐。

缺乏人工智慧知識和能力

隨著人工智慧的快速發展，良好治理和法規的要求越來越重要。由於缺乏理解和處理圍繞人工智慧的複雜倫理、法律和社會學挑戰所需的知識，預計市場成長將受到限制。此外，設計強而有力的法律法規的專家必須對人工智慧技術、其潛在危險和更廣泛的社會影響有透徹的了解。因此，缺乏合格的專家來減輕這些風險預計將進一步阻礙採用。

新冠肺炎 (COVID-19) 影響：

疫情帶來的關閉和法規引發了網路活動的增加，包括遠端醫療、遠距學習和虛擬社交聯繫。這些線上活動的變化引發了人們對網路安全、數位福祉和負責任的公民身份的擔憂。在大流行期間，圍繞促進道德線上行為和解決數位落差問題的數位素養和教育人工智慧治理市場已變得更加廣為人知。隨著公司努力以合乎道德的方式整合這些技術，對合乎道德的人工智慧、負責任的技術開發和數位道德諮詢服務的需求正在不斷成長。

預計解決方案部門在預測期內將是最大的

由於多元化市場競爭的存在，預計解決方案領域將在預測期內達到最高水準。我們的供應商致力於始終如一地提供創新和創造性的解決方案，與技術進步保持同步，以滿足最終用戶行業不斷成長的客戶需求。整合到客戶 IT 基礎設施的願望以及實施治理系統和軟體的複雜性將推動整合服務的成長。

預計本地細分市場在預測期內的年複合成長率最高。

預計本地細分市場在預測期內的年複合成長率最高。資料治理、可解釋的人工智慧、邊緣運算、與 DevOps 工作流程的整合、可擴展性和彈性是推動產業成長的一些關鍵趨勢。這些趨勢顯示人工智慧治理變得多麼重要，以及公司對其進行監督的重要性。對提供具有適當安全措施的單一整體網路的傳統本地環境的需求正在推動該細分市場的成長。

比最大的地區

由於商業和政府組織對人工智慧 (Al) 的利用不斷增加，預計北美將在預測期內佔據最大的市場佔有率。由於該國強勁的經濟，人工智慧和治理供應商能夠投資最尖端科技。此外，美國和加拿大等已開發國家的公司早期採用機器學習等技術預計將刺激該地區的市場擴張。

複合年複合成長率最高的地區：

預計亞太地區在預測期內將維持最高的年複合成長率。該地區各國政府正在迅速採取行動，建設 5G 網路和資料中心等尖端基礎設施。隨著人工智慧技術中日益成長的道德擔憂推動法規結構的創建，以確保機器學習演算法造福人類，預計該地區人工智慧服務的採用率將會下降。此外，隨著政府擴大採用人工智慧治理，該行業預計將會崛起。

提供免費客製化：

訂閱此報告的客戶可以存取以下免費自訂選項之一：

  • 公司簡介
    • 其他市場參與者的綜合分析（最多 3 家公司）
    • 主要企業SWOT分析（最多3家企業）
  • 區域分割
    • 根據客戶興趣對主要國家的市場估計、預測和年複合成長率（註：基於可行性檢查）
  • 競爭基準化分析
    • 根據產品系列、地理分佈和策略聯盟對主要企業基準化分析

目錄

第1章 執行摘要

第2章 前言

  • 概述
  • 利害關係人
  • 調查範圍
  • 調查方法
    • 資料探勘
    • 資料分析
    • 資料檢驗
    • 研究途徑
  • 調查來源
    • 主要調查來源
    • 二次調查來源
    • 先決條件

第3章 市場趨勢分析

  • 促進因素
  • 抑制因素
  • 機會
  • 威脅
  • 技術分析
  • 最終用戶分析
  • 新興市場
  • 新型冠狀病毒感染疾病（COVID-19）的影響

第4章 波特五力分析

  • 供應商的議價能力
  • 買方議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭公司之間的敵對關係

第5章 全球人工智慧（AI）治理市場：按組成部分

  • 解決方案
    • 平台
    • 軟體工具
  • 服務
    • 諮詢
    • 整合
    • 支援與維護

第6章 全球人工智慧（AI）治理市場：依技術分類

  • 電腦視覺
  • 機器學習
  • 自然語言處理
  • 其他技術

第7章 全球人工智慧（AI）治理市場：按部署模式

  • 雲
  • 本地

第8章 全球人工智慧（AI）治理市場：依組織規模

  • 中小企業 (SME)
  • 主要企業

第9章 全球人工智慧（AI）治理市場：依最終用戶分類

  • BFSI
  • 醫療保健和生命科學
  • 政府和國防
  • 媒體與娛樂
  • 電訊
  • 零售
  • 汽車
  • 製造業
  • 其他最終用戶

第10章 全球人工智慧（AI）治理市場：按地區

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲國家
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 其他亞太地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地區
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲

第11章進展

  • 合約、夥伴關係、協作和合資企業
  • 收購和合併
  • 新產品發布
  • 業務擴展
  • 其他關鍵策略

第12章公司簡介

  • 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
Product Code: SMRC23868

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