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市场调查报告书
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1549746

人工智慧管治：市场占有率分析、产业趋势/统计、成长预测（2024-2029）

AI Governance - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2024 - 2029)
出版日期: | 出版商: Mordor Intelligence | 英文 125 Pages | 商品交期: 2-3个工作天内

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简介目录

人工智慧管治市场规模预计到 2024 年为 2.6418 亿美元，预计到 2029 年将达到 9.3644 亿美元，在预测期内（2024-2029 年）复合年增长率为 28.80%。

人工智慧治理市场

主要亮点

  • 消费者对隐私、滥用和偏见日益增长的担忧正在推动对人工智慧 (AI)管治的需求。确保提供道德和透明的人工智慧是人工智慧管治的关键目标，旨在建立课责、监督和问责结构。
  • 公司越来越多地在业务中利用人工智慧，透过自动化来提高效率并降低成本。
  • 此外，消费者对隐私、滥用和偏见日益增长的担忧正在推动道德和透明人工智慧的发展，并强调课责和监督的必要性。
  • 人工智慧和机器学习作为再形成世界的关键技术脱颖而出。在当今严峻的经济状况下，世界各国政府都在努力应对预算紧张和公共资金有限的问题，而人工智慧优化资源和解决复杂问题的能力至关重要。
  • 人工智慧开发人员、工程师、研究人员和资料科学家是这种情况下最受欢迎的人才。公司必须确定技能差距并确定需要加强的优先领域。
  • 疫情带来的数位化加速，使得人工智慧服务需求急剧增加，并刺激了人工智慧管治市场。据销售团队称，疫情过后，对人工智慧和熟练人工智慧专业人员的需求增加。

人工智慧管治市场趋势

零售业预计将大幅成长

  • 随着客户（尤其是数位原民）改变通路偏好和购买行为，全球零售业正经历重大变革时期。随着这种数位化转变，人们越来越关注资料，这对于数位转型至关重要。
  • 如今，有效的人工智慧管理已成为寻求提高绩效、解决常见障碍并超越传统零售竞争对手和敏捷的直接面向消费者品牌的零售商的基石。简化资料存取的管治对于快速决策至关重要。
  • 零售公司正在采用尖端技术，包括人工智慧 (AI) 和机器学习。然而，这些技术的整合必须与强大的道德框架同时进行。制定行为准则不仅可以促进良好的资料管理实践，还可以指南更广泛的公司活动。
  • 一些零售商在人工智慧之旅的三个关键领域表现出色：快速改造和替换现有系统、遵守资料安全法规以及确定战略优先事项和可用资源之间的微妙平衡。这些成功证实了扩大人工智慧采用的准备。
  • 零售商也在增加劳动力，以在全球部署端到端人工智慧解决方案。这项策略倡议不仅提高了业务效率，也带来了巨大的市场机会。例如，一家大型零售公司最近启动了一项大规模培训计划，旨在提高 40,000 名员工的人工智慧革命技能。

北美占最大市场占有率

  • 北美作为最早采用人工智慧技术的国家之一，预计将对该市场产生重大影响。例如，美国国家人工智慧研究和发展计画正在实施人工智慧研究和开发，将道德考量纳入研究和开发，同时不影响公众参与或组织更好的行销。
  • 为了保持市场竞争力，北美的组织，尤其是美国的组织，正在利用人工智慧、机器学习和深度学习技术的所有优势。该国的经济十分成熟，使得人工智慧和管治供应商更容易投资新技术。此外，它被认为是创新中心，因为一些最重要的 IT 公司正在引入智慧设备并与人工智慧管治领域的其他公司合作。
  • 由于对大规模技术及其对脸部辨识等技术的影响的担忧，美国人工智慧监管的潜力最近受到了相当大的关注。美国的人工智慧战略已成为学术界、政策制定者和工业界的重要议题。
  • 加拿大的许多组织已经在使用机器学习技术来自动化关键业务、产生关键见解、升级客户互动并为策略决策提供资讯。

人工智慧管治产业概况

预计在预测期内，市场竞争对手之间的敌意仍将很高。主要公司包括 IBM Corporation、Google LLC (Alphabet Inc.)、SAP SE、Microsoft Corporation 和 FICO Inc.。

  • 2023 年 10 月，IBM 公司收购了 Manta Software Inc.，Manta 的资料处理历程功能将有助于提高 Watsonx 内部的透明度。这将使公司能够确定人工智慧模型和系统中使用的资料是否正确、资料来自哪里、如何资料以及资料流是否存在不一致，支持信任和透明的原则。
  • 2023 年 8 月，SAP SE 和 Google Cloud 宣布建立合作关係，以改善企业利用资料和产生人工智慧的力量。两家公司将把 Vertex AI 与由 SAP Datasphere 提供支援的整合开放资料云结合，推出由生成式AI 提供支援的新工业解决方案（从汽车产业开始），并引入新功能来帮助客户提高永续发展绩效。

其他好处

  • Excel 格式的市场预测 (ME) 表
  • 3 个月分析师支持

目录

第一章简介

  • 研究假设和市场定义
  • 调查范围

第二章调查方法

第三章执行摘要

第四章市场洞察

  • 市场概况
  • 产业吸引力－波特五力分析
    • 供应商的议价能力
    • 买方议价能力
    • 新进入者的威胁
    • 替代品的威胁
    • 竞争公司之间敌对关係的强度
  • 产业价值链分析
  • 评估 COVID-19 对产业的影响

第五章市场动态

  • 市场驱动因素
    • 对人工智慧决策透明度的需求不断增长
    • 扩大政府利用人工智慧技术的倡议
  • 市场限制因素
    • 人工智慧专业知识和技能不足可能会成为阻碍因素

第六章 市场细分

  • 按成分
    • 解决方案
    • 服务
  • 按发展
    • 本地
    • 云
  • 按最终用户产业
    • 卫生保健
    • 政府/国防
    • 车
    • 零售
    • BFSI
    • 其他的
  • 按地区
    • 北美洲
      • 美国
      • 加拿大
    • 欧洲
      • 英国
      • 德国
      • 法国
    • 亚洲
      • 中国
      • 印度
      • 日本
    • 澳洲/纽西兰
    • 拉丁美洲
    • 中东/非洲

第七章 竞争格局

  • 公司简介
    • 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.）

第八章投资分析

第9章 市场的未来

简介目录
Product Code: 69583

The AI Governance Market size is estimated at USD 264.18 million in 2024, and is expected to reach USD 936.44 million by 2029, growing at a CAGR of 28.80% during the forecast period (2024-2029).

AI Governance - Market

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.

  • October 2023: IBM Corporation acquired Manta Software Inc., with Manta's data lineage capabilities helping increase transparency within Watsonx. This will allow businesses to determine whether the right data was used for their AI models and systems, where it originated, how it has evolved, and any discrepancies in data flows and help deliver products that are built on principles of trust and transparency.
  • August 2023: SAP SE and Google Cloud announced a partnership in order to improve the enterprises harness the power of data and generative AI, where the companies will combine their integrated open data cloud using SAP Datasphere with Vertex AI to launch new generative AI-powered industry solutions starting with automotive and introduce new capabilities to help customers improve sustainability performance.

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