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表紙：人工知能（AI）ガバナンス市場の2030年までの予測：コンポーネント別、技術別、展開モード別、組織規模別、エンドユーザー別、地域別の世界分析
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人工知能（AI）ガバナンス市場の2030年までの予測：コンポーネント別、技術別、展開モード別、組織規模別、エンドユーザー別、地域別の世界分析

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: | 発行: Stratistics Market Research Consulting | ページ情報: 英文 200+ Pages | 納期: 2～3営業日

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人工知能（AI）ガバナンス市場の2030年までの予測：コンポーネント別、技術別、展開モード別、組織規模別、エンドユーザー別、地域別の世界分析
出版日: 2023年10月01日
発行: Stratistics Market Research Consulting
ページ情報: 英文 200+ Pages
納期: 2～3営業日
  • 全表示
  • 概要
  • 図表
  • 目次
概要

Stratistics MRCによると、世界の人工知能（AI）ガバナンス市場は2023年に1億9,600万米ドルを占め、2030年には31億3,610万米ドルに達すると予測され、予測期間中のCAGRは48.6%で成長する見込みです。

AIガバナンスは、人類がAIシステムを公正に運用できるよう、機械学習（ML）技術の適切な研究開発を確保するための法的枠組みを整備することを前提としています。AIガバナンスの重要性は、交通、商業、ヘルスケア、教育、公共安全など、さまざまな業界で人工知能（AI）が広く展開されていることから急速に高まっています。AIガバナンスはこれらの分野で、リアルタイムのオファー管理、自動化されたチェックアウトプロセス、顧客分析の改善など、オンラインとオフラインの機能を構築するために使用することができます。

ウィリス・タワーズワトソンが実施した「人工知能とデジタル人材調査」によると、現在、世界には2万2,000人のAI訓練を受けた専門家がいます。

透明性と信頼構築へのニーズの高まり

AIによる意思決定の透明性に対する要求の高まりと、AIシステムに対する信頼の確立に対する要求の高まりが、このセグメントの成長を促進しています。機械学習アルゴリズムやディープラーニングフレームワークを追加することで、AIガバナンスのメーカーはAI、クラウドソリューション、サービスの改善に一層注力しています。企業の目標を達成するための最も実用的な手段を決定するためのAIガバナンス・ソリューションの継続的な調査と適用により、市場は成長しています。

世界的に認められた原則の欠如

一貫したガバナンスの枠組みがなければ、AI環境は説明責任と透明性の格差によって断片化されます。そのため、多くの企業、政府、規制機関が明確な基準を設定し、コンプライアンスを実施し、AIシステムに対する信頼を醸成することは、この齟齬の結果、困難となります。その結果、倫理的で公正なAIの導入を保証する一方で、リスクを低減し、AI技術に対する社会的信頼を維持するためには、世界的に認められた規範と枠組みを確立することが極めて重要となります。これらの要素は市場拡大を妨げると予想されます。

AI技術の利用の増加

偏見、データプライバシー、説明責任、透明性に関する懸念が高まった結果、ヘルスケア、銀行、製造、運輸を含む多くの業界がこうしたAIのフレームワークを採用するようになっています。航空宇宙・防衛、ヘルスケア、BFSIなどのセクターでAI技術の利用が拡大していることなどが、市場の拡大をかなり後押ししています。その結果、倫理的で責任あるAIの実践を保証するための包括的なガバナンス・メカニズムがすべての企業に存在します。

AIに関する知識と能力の不足

人工知能が急速に発展するにつれて、優れたガバナンスと規制の要件は重要性を増しています。市場の成長は、AIを取り巻く複雑な倫理的、法的、社会学的課題を理解し、処理するために必要な知識の不足によって制約されると予想されます。さらに、強力な法律や規制を設計する専門家は、AI技術やその可能性のある危険性、より広範な社会的影響を十分に理解していなければならないです。したがって、こうしたリスクを軽減するための適格な専門家の不在は、採用をさらに妨げると予想されます。

COVID-19影響：

パンデミックによってもたらされた閉鎖や規制は、遠隔医療、遠隔学習、バーチャルな社会的接触を含むインターネット活動の増加に火をつけた。このようなオンライン活動の変化は、オンラインの安全性、デジタル・ウェルビーイング、責任ある市民としてのあり方についての懸念を呼び起こしました。パンデミックの間、デジタルリテラシーと教育のためのAIガバナンス市場は、道徳的なオンライン行為を育成し、デジタルデバイド問題に取り組むことを軸としており、よりよく知られるようになっています。企業がこれらの技術を倫理的な方法で統合することに取り組む中で、倫理的AI、責任ある技術開発、デジタル倫理のコンサルティング・サービスに対するニーズが高まっています。

予測期間中、ソリューション・セグメントが最大となる見込み

ソリューション分野は、多様化した市場競合の存在により、予測期間中最大になると予想されます。サプライヤーは、エンドユーザーの業種を問わず拡大する顧客需要に対応するため、技術向上と歩調を合わせて革新的で創造的なソリューションを一貫して提供することに注力しています。顧客のITインフラへの統合を望む声や、アル・ガバナンス・システムやソフトウェアの導入の複雑さが、統合サービスの成長を促進すると思われます。

予測期間中のCAGRは、オンプレミスセグメントが最も高くなると予想されます。

予測期間中のCAGRは、オンプレミスセグメントが最も高くなると予想されます。データガバナンス、説明可能なAI、エッジコンピューティング、DevOpsワークフローとの統合、スケーラビリティ、柔軟性は、業界の成長を促進する主な動向の一部です。これらの動向は、AIガバナンスがいかに重要になってきているか、そして企業がAIガバナンスを監督することがいかに重要であるかを示しています。適切なセキュリティ対策が施された単一のモノリシックネットワークを提供する従来のオンプレミス環境に対する需要が、このセグメントの成長を牽引しています。

最大のシェアを占める地域

北米は、商業組織や政府組織による人工知能（Al）の利用の増加により、予測期間中に最大の市場シェアを占めると予測されています。AIとガバナンスのベンダーは、同国の強い経済のおかげで最先端技術に投資することができます。さらに、米国やカナダのような先進国の企業による機械学習のような技術の早期採用が、この地域での市場拡大を刺激すると予測されています。

CAGRが最も高い地域：

アジア太平洋地域は予測期間中最も高いCAGRを維持すると予測されます。この地域の各国政府は、5Gネットワークやデータセンターなどの最先端インフラの構築に迅速に取り組んでいます。AI技術における倫理的懸念の高まりにより、MLアルゴリズムが人類の利益のために機能することを保証するための規制枠組みの構築が進められているため、同地域におけるAI搭載サービスの採用は減少すると予測されます。さらに、政府によるAIガバナンスの導入が進むにつれて、同産業は上昇すると予想されます。

無料のカスタマイズ提供：

本レポートをご購読のお客様には、以下の無料カスタマイズオプションのいずれかをご利用いただけます：

  • 企業プロファイル
    • 追加市場プレイヤーの包括的プロファイリング（3社まで）
    • 主要企業のSWOT分析（3社まで）
  • 地域セグメンテーション
    • 顧客の関心に応じた主要国の市場推計・予測・CAGR（注：フィージビリティチェックによる）
  • 競合ベンチマーキング
    • 製品ポートフォリオ、地理的プレゼンス、戦略的提携に基づく主要企業のベンチマーキング

目次

第1章 エグゼクティブサマリー

第2章 序文

  • 概要
  • ステークホルダー
  • 調査範囲
  • 調査手法
    • データマイニング
    • データ分析
    • データ検証
    • 調査アプローチ
  • 調査ソース
    • 1次調査ソース
    • 2次調査ソース
    • 前提条件

第3章 市場動向分析

  • 促進要因
  • 抑制要因
  • 機会
  • 脅威
  • 技術分析
  • エンドユーザー分析
  • 新興市場
  • 新型コロナウイルス感染症（COVID-19）の影響

第4章 ポーターのファイブフォース分析

  • 供給企業の交渉力
  • 買い手の交渉力
  • 代替品の脅威
  • 新規参入業者の脅威
  • 競争企業間の敵対関係

第5章 世界の人工知能（AI）ガバナンス市場：コンポーネント別

  • ソリューション
    • プラットホーム
    • ソフトウェアツール
  • サービス
    • コンサルティング
    • 統合
    • サポートとメンテナンス

第6章 世界の人工知能（AI）ガバナンス市場：技術別

  • コンピュータビジョン
  • 機械学習
  • 自然言語処理
  • その他の技術

第7章 世界の人工知能（AI）ガバナンス市場：展開モード別

  • クラウド
  • オンプレミス

第8章 世界の人工知能（AI）ガバナンス市場：組織規模別

  • 中小企業（SME）
  • 大企業

第9章 世界の人工知能（AI）ガバナンス市場：エンドユーザー別

  • BFSI
  • ヘルスケアとライフサイエンス
  • 政府と防衛
  • メディアとエンターテイメント
  • 電気通信
  • 小売り
  • 自動車
  • 製造業
  • その他のエンドユーザー

第10章 世界の人工知能（AI）ガバナンス市場：地域別

  • 北米
    • 米国
    • カナダ
    • メキシコ
  • 欧州
    • ドイツ
    • 英国
    • イタリア
    • フランス
    • スペイン
    • その他欧州
  • アジア太平洋地域
    • 日本
    • 中国
    • インド
    • オーストラリア
    • ニュージーランド
    • 韓国
    • その他アジア太平洋地域
  • 南米
    • アルゼンチン
    • ブラジル
    • チリ
    • その他南米
  • 中東とアフリカ
    • サウジアラビア
    • アラブ首長国連邦
    • カタール
    • 南アフリカ
    • その他中東とアフリカ

第11章 主な発展

  • 契約、パートナーシップ、コラボレーション、合弁事業
  • 買収と合併
  • 新製品の発売
  • 事業拡大
  • その他の主要戦略

第12章 企業プロファイル

  • 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
図表

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

目次
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