查看購物車
  • Simplified Chinese
  • English
  • Japanese
  • Korean
人工智慧治理市場 - 2018-2028 年全球產業規模、佔有率、趨勢、機會和預測，按組件、部署模式、企業規模、垂直產業、地區和競爭細分
市場調查報告書
商品編碼
1379563

人工智慧治理市場 - 2018-2028 年全球產業規模、佔有率、趨勢、機會和預測，按組件、部署模式、企業規模、垂直產業、地區和競爭細分

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個工作天內

價格

We offer 8 hour analyst time for an additional research. Please contact us for the details.

簡介目錄

隨著世界各地的組織努力應對人工智慧帶來的複雜挑戰，全球人工智慧治理市場的需求正在大幅成長。人工智慧治理涵蓋一套全面的實踐、政策和技術，旨在確保人工智慧系統負責任且符合道德的開發、部署和管理。該市場的成長得益於人工智慧技術在各行業的廣泛採用，同時人們對人工智慧驅動決策中的資料隱私、演算法偏差、透明度和問責制的擔憂日益加劇。

人工智慧治理市場的一個突出趨勢是越來越關注監管合規性。嚴格的資料保護法規，包括一般資料保護規範 (GDPR) 和行業特定指南，迫使組織尋求促進合規性的人工智慧治理解決方案。這些解決方案有助於管理資料隱私、同意和遵守不斷變化的法規。

此外，組織正積極擁抱人工智慧道德計劃。他們致力於消除人工智慧演算法的偏見，提高人工智慧營運的透明度，並確保人工智慧驅動結果的公平性。這種對人工智慧道德實踐的推動為人工智慧治理解決方案創造了肥沃的土壤，可以應對這些複雜的挑戰。

市場概況
預測期 2024-2028
2022 年市場規模 8549萬美元
2028 年市場規模 7.2572億美元
2023-2028 年CAGR 41.67%
成長最快的細分市場 中小企業 (SME)
最大的市場 北美洲

先進的人工智慧治理解決方案也不斷湧現，提供人工智慧系統的即時監控、可解釋性和可審計性。這些工具可協助組織應對人工智慧部署的複雜性，並適應不斷變化的道德和監管環境。

主要市場促進因素

對人工智慧道德和責任的日益擔憂：

人們對人工智慧相關道德問題（例如偏見、公平和透明度）的認知和擔憂不斷增強，推動了對人工智慧治理的需求。包括政府、企業和公眾在內的利害關係人要求人工智慧系統承擔責任，以確保其符合道德標準。隨著人工智慧越來越融入各個領域，對解決這些問題的治理解決方案的需求不斷增加。

監理措施和合規要求：

世界各地的政府和監管機構正在採取措施建立人工智慧治理框架。歐盟的《一般資料保護規範》（GDPR）和各國的人工智慧具體法規等法規要求企業實施人工智慧治理機制。遵守這些法規的需要正在推動人工智慧治理解決方案和實踐的採用。

風險管理與責任問題：

人工智慧系統可能會為企業帶來新的風險和責任。人工智慧模型的失敗或偏差可能會導致財務、法律和聲譽風險。為了減輕這些風險，組織正在投資人工智慧治理，以確保人工智慧技術透明、負責並符合行業標準和法規。

對可解釋人工智慧 (XAI) 解決方案的需求：

人工智慧決策缺乏透明度引發了擔憂。可解釋的人工智慧（XAI）技術正在獲得關注，它可以深入了解人工智慧模型如何得出結論。企業正在採用 XAI 作為人工智慧治理的驅動力，以提高透明度並使用戶能夠理解人工智慧模型行為，從而增強信任和問責制。

競爭優勢與市場差異化：

公司意識到實施強大的人工智慧治理可以提供競爭優勢。展示道德的人工智慧實踐和負責任的資料處理可以提高品牌聲譽並吸引優先考慮道德因素的客戶。人工智慧治理越來越被視為一種策略資產，可以使企業在市場上脫穎而出。

主要市場挑戰

缺乏通用標準和法規：

人工智慧治理缺乏統一的全球標準和法規帶來了重大挑戰。每個地區和國家可能都有自己的一套規則和準則，這為跨國組織帶來了複雜性。跨境協調人工智慧法規對於確保一致性和合規性至關重要。

道德兩難和偏見緩解：

人工智慧系統可能會無意中使訓練資料中存在的偏見永久化。發現並減輕這些偏見是一項複雜的挑戰。在人工智慧識別模式的能力與避免強化有害刻板印象的需要之間取得平衡需要持續的研究和發展。

可解釋性和透明度：

確保人工智慧系統透明且可解釋是一項挑戰，特別是對於複雜的深度學習模型。人工智慧的「黑盒子」性質可能會阻礙監管合規性和公眾信任。開發解釋人工智慧決策的方法，同時保持模型性能仍然是一個持續的挑戰。

資料隱私和安全：

保護人工智慧訓練和決策過程中使用的敏感資料是一項重大挑戰。遵守 GDPR 和 HIPAA 等資料隱私法，同時仍允許人工智慧系統存取相關資料，需要先進的隱私保護技術，例如聯邦學習和安全多方運算。

資源限制與人才短缺：

建立有效的人工智慧治理機制需要人工智慧倫理、法律和技術的專業知識。缺乏具備設計和實施穩健治理架構所需技能的專業人員。培養和培訓能夠應對人工智慧治理挑戰的勞動力仍然是一個持續的障礙。

主要市場趨勢

符合道德的人工智慧採用和監管：

道德考量和監管框架正在塑造人工智慧治理格局。公司越來越注重負責任的人工智慧部署，以確保公平、透明和問責。 GDPR 等法規以及 IEEE 等組織在符合道德的設計方面所做的努力影響著全球人工智慧的採用和發展。

透明度和可解釋性：

使人工智慧演算法和流程變得透明和可解釋的趨勢日益成長。企業和消費者都試圖了解人工智慧系統如何做出決策。這一趨勢推動了可解釋的人工智慧技術的發展，確保人工智慧系統不是“黑盒子”，而是可以理解和信任的。

資料隱私和安全：

隨著資料外洩和隱私問題的激增，人工智慧治理正在強調嚴格的資料隱私和安全措施。遵守資料保護法律和框架至關重要。人工智慧開發人員正在整合聯邦學習等隱私保護技術來處理資料，而不會暴露個人身份。

人工智慧偏見緩解：

解決人工智慧演算法中的偏見是一個重要趨勢。根據有偏見的資料訓練的人工智慧模型可能會延續社會偏見。人工智慧治理趨勢強調需要去偏見技術和平衡的訓練資料，以確保人工智慧系統公平對待所有個人，無論性別、種族或其他屬性如何。

跨部門合作：

跨產業的協作和知識共享是人工智慧治理的趨勢。政府、學術界、科技公司和非營利組織正在合作制定標準和最佳實踐。人工智慧合作夥伴關係 (PAI) 等措施將利益相關者聚集在一起，創建一個致力於應對人工智慧挑戰和機會的全球社群。

細分市場洞察

組件洞察

2022年，解決方案領域將在全球人工智慧治理市場中佔據主導地位。目前，人工智慧治理解決方案佔據主導地位。這些解決方案包含廣泛的工具、平台和軟體，旨在解決人工智慧治理的各個方面，例如偏見檢測和緩解、可解釋性和合規性監控。隨著人工智慧技術的不斷進步，對專業人工智慧治理解決方案的需求不斷增加。

人工智慧系統的複雜性需要先進的治理解決方案。機器學習模型、深度學習演算法和自然語言處理引擎需要專用的工具和軟體來確保它們遵守道德、法律和監管標準。這些解決方案提供即時監控、審計和報告人工智慧操作的功能。

嚴格的資料保護法規（例如 GDPR 和 CCPA）以及醫療保健和金融領域的特定行業規則，需要人工智慧治理解決方案來確保合規性。組織尋求人工智慧治理解決方案，幫助他們有效管理資料隱私、同意和安全，同時利用人工智慧進行創新。

企業規模洞察

到2022年，大型企業將在全球人工智慧治理市場中佔據主導地位。大型企業往往擁有更豐富的財務和技術資源。這使他們能夠在人工智慧技術和人工智慧治理解決方案上進行大量投資。他們可以負擔得起複雜的人工智慧治理平台和工具來管理人工智慧系統的複雜性。

大型企業往往在多個業務部門和職能部門進行更廣泛、更複雜的人工智慧部署。大規模管理人工智慧道德、合規性和問責制需要先進的人工智慧治理解決方案。這些組織是綜合治理框架的早期採用者。

遵守嚴格的法規是大型企業的首要任務，特別是那些在金融和醫療保健等監管嚴格的行業中運作的企業。他們需要人工智慧治理解決方案來確保遵守資料保護法律和特定行業的法規，這通常需要全面的審計和報告能力。

區域洞察

2022年，北美將主導全球人工智慧治理市場。北美，特別是美國，是人工智慧創新的中心。它是一些世界領先的科技公司、研究機構和新創公司的所在地，這些公司在人工智慧技術方面處於領先地位。這種技術領先地位使北美處於人工智慧治理工作的最前沿，因為它對人工智慧系統相關的複雜性和挑戰有著深入的了解。

美國和加拿大已經建立了相對全面的人工智慧監管框架，包括資料隱私法（例如，受GDPR啟發的州級法律）、特定行業的法規以及負責任的人工智慧開發指南。這些法規和指南推動了人工智慧治理實踐和解決方案的採用。

北美政府和私人投資者為人工智慧研發分配了大量資源。這導致了以人工智慧治理為重點的組織、智囊團和旨在促進人工智慧道德實踐和標準的計劃的創建。北美人工智慧社群積極為人工智慧倫理和治理的全球對話做出貢獻。

北美擁有蓬勃發展的人工智慧產業生態系統，在科技、金融、醫療保健和製造等領域擁有眾多由人工智慧驅動的公司。這些產業認知到人工智慧治理在降低風險和確保負責任的人工智慧採用方面的重要性，這推動了對治理解決方案的需求。

目錄

第 1 章：服務概述

  • 市場定義
  • 市場範圍
    • 涵蓋的市場
    • 研究年份
    • 主要市場區隔

第 2 章：研究方法

  • 基線方法
  • 主要產業夥伴
  • 主要協會和二手資料來源
  • 預測方法
  • 數據三角測量與驗證
  • 假設和限制

第 3 章：執行摘要

第 4 章：COVID-19 對全球人工智慧治理市場的影響

第 5 章：客戶之聲

第 6 章：全球人工智慧治理市場概述

第 7 章：全球人工智慧治理市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 按組件（解決方案、服務）
    • 依部署模式（本地、雲端）
    • 依企業規模（大型企業、中小企業（SME））
    • 按行業垂直（BFSI、政府、醫療保健、媒體和娛樂、零售、IT 和電信、汽車、其他）
    • 按地區（北美、歐洲、南美、中東和非洲、亞太地區）
  • 按公司分類 (2022)
  • 市場地圖

第 8 章：北美人工智慧治理市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 按組件
    • 按部署模式
    • 按企業規模
    • 按行業分類
    • 按國家/地區

第 9 章：歐洲人工智慧治理市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 按組件
    • 按部署模式
    • 按企業規模
    • 按行業分類
    • 按國家/地區

第 10 章：南美洲人工智慧治理市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 按組件
    • 按部署模式
    • 按企業規模
    • 按行業分類
    • 按國家/地區

第 11 章：中東和非洲人工智慧治理市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 按組件
    • 按部署模式
    • 按企業規模
    • 按行業分類
    • 按國家/地區

第十二章：亞太地區人工智慧治理市場展望

  • 市場規模及預測
    • 按價值
  • 市場規模及預測
    • 按組件
    • 按部署模式
    • 按企業規模
    • 按行業分類
    • 按國家/地區

第 13 章：市場動態

  • 促進要素
  • 挑戰

第 14 章：市場趨勢與發展

第 15 章：公司簡介

  • 字母公司
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Product/Services Offered
  • 微軟公司
    • 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系統公司
    • 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
  • 亞馬遜網路服務公司
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Product/Services Offered
  • QlikTech 國際公司
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Product/Services Offered
  • TIBCO 軟體公司
    • 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：策略建議

第 17 章：關於我們與免責聲明

簡介目錄
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