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市場調查報告書
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1689967

人工智慧管治-市場佔有率分析、產業趨勢與統計、成長預測（2025-2030 年）

AI Governance - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2025 - 2030)
出版日期: | 出版商: Mordor Intelligence | 英文 125 Pages | 商品交期: 2-3個工作天內

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簡介目錄

人工智慧管治市場規模在2025年估計為3.4億美元，預計到2030年將達到12.1億美元，預測期內（2025-2030年）的複合年成長率為28.8%。

人工智慧治理-市場-IMG1

關鍵亮點

  • 消費者對隱私、濫用和偏見的擔憂日益加劇，推動了對人工智慧 (AI)管治的需求。確保以合乎道德和透明的方式提供人工智慧是人工智慧管治的關鍵目標，旨在建立課責、監督和責任。
  • 企業擴大在業務中利用人工智慧，透過自動化來提高效率並降低成本。
  • 此外，消費者對隱私、濫用和偏見的日益擔憂正在推動對道德和透明的人工智慧的追求，凸顯了課責和監控的必要性。
  • 人工智慧和機器學習是再形成世界的關鍵技術。在當今艱難的經濟狀況，世界各國政府都在努力應對緊張的預算和有限的公共資金，人工智慧最佳化資源和解決複雜問題的能力至關重要。
  • 人工智慧開發人員、工程師、研發專業人員和資料科學家是這一背景下最受追捧的人才。公司必須找出技能差距並確定需要加強的優先領域。
  • 疫情引發的數位化加速，導致AI服務需求激增，刺激了AI管治市場。 Salesforce 表示，自疫情爆發以來，對人工智慧和熟練的人工智慧專業人員的需求有所增加。

人工智慧管治市場趨勢

零售業可望強勁成長

  • 隨著消費者（尤其是數位原民）改變其通路偏好和購買行為，全球零售業正經歷重大變革時期。這種數位化轉變導致人們對資料的關注度增加，這對於數位轉型至關重要。
  • 有效的人工智慧管理對於希望提高績效、解決常見障礙並超越傳統零售競爭對手和敏捷的直接面對消費者品牌的零售商來說至關重要。簡化資料存取的管治對於快速決策至關重要。
  • 零售公司正在擁抱尖端技術，包括人工智慧（AI）和機器學習。然而，這些技術的整合必須與強大的道德框架結合。制定行為準則不僅可以促進良好的資料管理實踐，還指南更廣泛的公司行為。
  • 一些零售商在其人工智慧之旅的三個關鍵環節中表現出色：快速轉型和更換現有系統、遵守資料安全法規以及在策略重點和可用資源之間找到微妙的平衡。這些成功凸顯了人工智慧已準備好被更廣泛地應用。
  • 零售商也加大人力投入，在全球推出端到端的人工智慧解決方案。這項策略舉措不僅將提高業務效率，也將帶來巨大的市場機會。例如，一家大型零售商最近啟動了一項大型培訓計劃，以提高其 40,000 名員工的技能，以應對人工智慧革命。

北美佔最大市場佔有率

  • 北美作為最早採用人工智慧技術的國家之一，預計將對該市場產生重大影響。例如，美國國家人工智慧研究與發展計畫建議制定一個進行人工智慧研究和開發的框架，將倫理考量納入研究和開發中，同時不影響公眾參與和組織更好的行銷。
  • 為了保持市場競爭力，北美組織，尤其是總部位於美國的組織，正在利用人工智慧、機器學習和深度學習技術的所有優勢。該國成熟的經濟使得人工智慧和管治供應商能夠輕鬆投資新技術。此外，它被認為是一個創新中心，一些最重要的 IT 公司推出了智慧設備，並與人工智慧管治領域的其他公司合作。
  • 美國對人工智慧進行監管的可能性最近受到了廣泛關注，這不僅是因為它對臉部辨識等技術的影響，還因為人們擔心該技術會大規模應用。美國的人工智慧策略已成為學者、政策制定者和產業界關注的重要議題。
  • 許多加拿大組織已經在使用機器學習技術來自動化關鍵業務、產生關鍵見解、升級客戶互動並為策略決策提供資訊。

人工智慧管治產業概覽

預計預測期內市場競爭對手之間的競爭仍將保持在高水準。主要參與企業包括 IBM 公司、Google LLC（Alphabet Inc.）、SAP SE、Microsoft Corporation 和 FICO Inc. 市場參與企業正在採用聯盟和收購等策略來加強其產品供應並獲得永續的競爭優勢。

其他福利

  • Excel 格式的市場預測 (ME) 表
  • 3個月的分析師支持

目錄

第1章 引言

  • 研究假設和市場定義
  • 研究範圍

第2章調查方法

第3章執行摘要

第4章 市場洞察

  • 市場概覽
  • 產業吸引力-波特五力分析
    • 供應商的議價能力
    • 買家的議價能力
    • 新進入者的威脅
    • 替代品的威脅
    • 競爭對手之間的競爭強度
  • 產業價值鏈分析
  • COVID-19 工業影響評估

第5章市場動態

  • 市場促進因素
    • 對人工智慧決策透明度的需求日益增加
    • 擴大政府措施以利用人工智慧技術
  • 市場限制
    • 人工智慧專業知識和技能不足可能成為限制因素

第6章市場區隔

  • 按組件
    • 解決方案
    • 按服務
  • 按部署
    • 本地
    • 雲
  • 按行業
    • 醫療保健
    • 政府和國防
    • 車
    • 零售
    • BFSI
    • 其他最終用戶產業
  • 按地區
    • 北美洲
      • 美國
      • 加拿大
    • 歐洲
      • 英國
      • 德國
      • 法國
    • 亞洲
      • 中國
      • 印度
      • 日本
    • 澳洲和紐西蘭
    • 拉丁美洲
    • 中東和非洲

第7章競爭格局

  • 公司簡介
    • IBM Corporation
    • Google LLC（Alphabet Inc.）
    • SAP SE
    • Microsoft Corporation
    • FICO Inc.
    • Salesforce.com Inc.
    • Pymetrics Inc.
    • SAS Institute Inc.
    • H2O.ai Inc.
    • Integrate.ai Inc.
    • Facebook Inc.（Meta Platforms Inc.）

第8章投資分析

第9章：市場的未來

簡介目錄
Product Code: 69583

The AI Governance Market size is estimated at USD 0.34 billion in 2025, and is expected to reach USD 1.21 billion by 2030, at a CAGR of 28.8% during the forecast period (2025-2030).

AI Governance - Market - IMG1

Key Highlights

  • Increasing consumer concerns over privacy, abuse, and bias are propelling the demand for artificial intelligence (AI) governance. Ensuring the delivery of ethical and transparent AI stands as a primary objective of AI governance, aiming to establish accountability, oversight, and responsibility.
  • Businesses are increasingly leveraging AI in their operations to boost efficiency and cut costs through automation.
  • Furthermore, the heightened consumer focus on privacy, misuse, and bias drives the push for ethical and transparent AI, emphasizing the need for accountability and oversight.
  • Artificial intelligence and machine learning stand out as pivotal technologies reshaping the world. In today's challenging economic landscape, where governments globally grapple with tight budgets and limited public funding, AI's ability to optimize resources and tackle complex issues is paramount.
  • AI developers, engineers, researchers, and data scientists are the most sought-after talents in this landscape. Enterprises must pinpoint skill gaps and prioritize areas for enhancement.
  • The accelerated digitization due to the pandemic has spiked the demand for AI services, fueling the AI governance market. According to Salesforce, the need for AI and skilled AI professionals increased post-pandemic.

AI Governance Market Trends

The Retail Sector is Expected to Witness Significant Growth

  • The global retail sector is undergoing a significant transformation as customers, especially digital natives, alter their channel preferences and purchasing behaviors. With this digital shift, the focus on data, crucial for digital transformation, has intensified.
  • Effective AI management is now a cornerstone for retailers looking to enhance their performance, tackle common hurdles, and outpace both traditional retail rivals and agile direct-to-consumer brands. Governance, streamlining data access, is pivotal for swift decision-making.
  • Retailers are embracing cutting-edge technologies, notably artificial intelligence (AI) and machine learning. However, as they integrate these technologies, they must do so alongside robust ethics frameworks. Crafting a code of conduct not only fosters good data management practices but also guides the broader spectrum of company activities.
  • Some retailers have excelled in three critical areas on their AI journey: swiftly transforming and replacing existing systems, adhering to data security regulations, and finding the delicate balance between strategic priorities and available resources. These successes underscore their readiness for increased AI adoption.
  • Retailers are also gearing up their workforce for the global deployment of end-to-end AI solutions. This strategic move not only enhances their operational efficiency but also opens up significant market opportunities. For instance, a major retailer recently launched an extensive training program to upskill its 40,000 employees for the AI revolution.

North America Holds Largest Market Share

  • North America, one of the first countries to adopt artificial intelligence technologies, is expected to have an enormous impact on this market. For example, in order to help organizations across the country incorporate ethical considerations into research and development without compromising public involvement and better marketing of an organization, the US National Artificial Intelligence Research and Development Plan recommended the development of a framework for the implementation of AI research and development.
  • In order to remain competitive in the market, North American organizations, especially those based in the United States, make use of all the benefits of AI, ML, and Deep Learning technology. The country's economy is well established, making it easier for AI and governance vendors to make investments in new technologies. Moreover, the fact that some of the most important IT firms are introducing intelligent devices and working together with others in the area of AI governance is considered to be a hub for innovation.
  • The potential of AI regulation in the United States has been given considerable attention recently due to concerns regarding large tech, as well as impacts on technologies such as facial recognition. The US strategy for artificial intelligence has been an important topic for academics, policymakers, and industry.
  • Many Canadian organizations are already using machine-learning tech to automate key operations, generate critical insights, upgrade customer interactions, and inform strategic decisions.

AI Governance Industry Overview

The intensity of competitive rivalry in the market is expected to remain high during the forecast period. Major players include IBM Corporation, Google LLC (Alphabet Inc.), SAP SE, Microsoft Corporation, and FICO Inc. Players in the market are adopting strategies such as partnerships and acquisitions to enhance their product offerings and gain sustainable competitive advantage.

Additional Benefits:

  • The market estimate (ME) sheet in Excel format
  • 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 Study Assumptions and Market Definition
  • 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET INSIGHTS

  • 4.1 Market Overview
  • 4.2 Industry Attractiveness - Porter's Five Forces Analysis
    • 4.2.1 Bargaining Power of Suppliers
    • 4.2.2 Bargaining Power of Buyers
    • 4.2.3 Threat of New Entrants
    • 4.2.4 Threat of Substitute Products
    • 4.2.5 Intensity of Competitive Rivalry
  • 4.3 Industry Value Chain Analysis
  • 4.4 Assessment of Impact of COVID-19 on the Industry

5 MARKET DYNAMICS

  • 5.1 Market Drivers
    • 5.1.1 Growing Demand for Transparency in AI Decision Making
    • 5.1.2 Expanding Government Initiatives to Leverage the AI Technology
  • 5.2 Market Restraints
    • 5.2.1 Inadequate AI Expertise and Skills can Act as a Restraint

6 MARKET SEGMENTATION

  • 6.1 By Component
    • 6.1.1 Solution
    • 6.1.2 Service
  • 6.2 By Deployment
    • 6.2.1 On-Premise
    • 6.2.2 Cloud
  • 6.3 By End-user Vertical
    • 6.3.1 Healthcare
    • 6.3.2 Government and Defense
    • 6.3.3 Automotive
    • 6.3.4 Retail
    • 6.3.5 BFSI
    • 6.3.6 Other End-user Verticals
  • 6.4 By Geography
    • 6.4.1 North America
      • 6.4.1.1 United States
      • 6.4.1.2 Canada
    • 6.4.2 Europe
      • 6.4.2.1 United Kingdom
      • 6.4.2.2 Germany
      • 6.4.2.3 France
    • 6.4.3 Asia
      • 6.4.3.1 China
      • 6.4.3.2 India
      • 6.4.3.3 Japan
    • 6.4.4 Australia and New Zealand
    • 6.4.5 Latin America
    • 6.4.6 Middle East and Africa

7 COMPETITIVE LANDSCAPE

  • 7.1 Company Profiles
    • 7.1.1 IBM Corporation
    • 7.1.2 Google LLC (Alphabet Inc.)
    • 7.1.3 SAP SE
    • 7.1.4 Microsoft Corporation
    • 7.1.5 FICO Inc.
    • 7.1.6 Salesforce.com Inc.
    • 7.1.7 Pymetrics Inc.
    • 7.1.8 SAS Institute Inc.
    • 7.1.9 H2O.ai Inc.
    • 7.1.10 Integrate.ai Inc.
    • 7.1.11 Facebook Inc. (Meta Platforms Inc.)

8 INVESTMENT ANALYSIS

9 FUTURE OF THE MARKET