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市场调查报告书
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1435808

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%增长。

人工智慧治理市场

消费者对隐私、滥用和偏见日益增加的担忧是推动人工智慧管治需求的关键因素。人工智慧管治的主要目标之一是提供道德和透明的人工智慧，并建立责任、监督和问责。

主要亮点

  • 公司越来越认识到将人工智慧 (AI) 纳入其业务流程的价值，以透过自动化流程来提高业务效率并降低成本。
  • 透过这种方式，公司可以使用自主流程来改善业务，改变客户服务的面貌（例如透过人工智慧驱动的聊天机器人），并将创新推向新的高度。人工智慧是一组能够解决特定问题并且最适合大量高品质巨量资料的演算法。聊天机器人可以将企业的营运成本降低高达 30%。
  • 企业对人工智慧管治框架的兴趣增加也鼓励供应商和新兴企业开发满足客户需求的创新框架。例如，2021年10月，总部位于旧金山的Credo AI公司宣布将专注于建构道德AI，协助企业管理人工智慧产品的监管和道德风险。该公司的目标是透过提供创建、测试、部署和监控人工智慧产品的资料和决策的「审核记录」来实现这一目标。
  • 人工智慧和机器学习 (ML) 极大地帮助了分析与 COVID-19感染疾病的资料。 2020 年 4 月，Amazon Web Services 推出了 Cord-19 Search，这是一个由 ML 驱动的新网站。这使得研究人员能够快速、轻鬆地使用自然语言问题搜寻数以万计的研究论文和文件。由于研究论文和其他文件通常包含敏感资讯，因此对有效管治框架的需求预计会增加。

人工智慧管治市场趋势

人工智慧在零售业的广泛应用预计将为市场成长开闢新途径

  • 全球零售业正经历巨大变革。随着客户成为数位原民，他们的通路偏好和购买习惯也会改变。向数位化的转变引发了人们对推动数位转型的资料的担忧。
  • 良好的人工智慧管治对于提高整体零售绩效、克服通用挑战并领先于更强大的零售竞争对手和更敏捷的直接面向消费者的品牌至关重要。管治消除了需要快速存取资料的人员的摩擦，并为决策者提供更多资料。
  • 人工智慧和机器学习是零售商正在采用的强大技术。但是，如果公司在此过程中需要製定并实施全面的道德计划。制定行为准则有望建立结构和课责，带来良好的资料管理实践，并有助于建立指导整个公司的框架。
  • 人工智慧道德互动日益推动消费者的信任、满意度和决策。根据凯捷研究公司 (Capgemini SA Research) 的一项研究，那些被认为以合乎道德的方式使用人工智慧和机器学习的公司比那些没有这样做的公司拥有 44 点的净推荐值 (NPS) 优势。
  • 世界各地的零售商也正在准备其员工实施端到端人工智慧主导的解决方案。预计这将在未来创造重大市场机会。一家大型零售商最近制定了一项全面培训计划，帮助其 40,000 名员工做好人工智慧转型的准备。

预计北美将占据主要份额

  • 北美地区是最早采用人工智慧技术的地区之一，预计将为市场创造最大的机会。例如，美国国家人工智慧研发计画建议制定人工智慧研发实施框架，以帮助美国各地的组织将道德考虑纳入研发，同时不影响公众参与或如何更有效地推销其组织的行为。
  • 美国政府也积极研究人工智慧管治措施。政府宣布采用与国防部人工智慧战略目标一致的人工智慧道德原则，这将促进美国军队和相关产业道德和合法地使用人工智慧系统。
  • 北美（尤其美国）的组织继续利用人工智慧、机器学习和深度学习技术的优势来获得行业优势。该国拥有成熟的经济，允许人工智慧和管治供应商投资新技术。此外，它还被认为是一个创新中心，主要 IT 参与者在此部署智慧型设备并与人工智慧管治市场的其他公司合作。
  • 最近对脸部辨识等大型科技和科技影响的担忧，引起了人们对美国人工智慧监管前景的极大关注。美国人工智慧战略是学术界、政策制定者和工业界一致感兴趣的议题。
  • 相关人员的各种活动塑造了市场形势。例如，NRCan 于 2021 年 3 月宣布与微软加拿大建立合作伙伴关係，共用专业知识并利用云端、资料和人工智慧 (AI) 服务开发国家和全球科学协作平台。

人工智慧管治产业概况

市场竞争对手之间的敌意强度中等偏高，预计在预测期内保持不变。市场的最新发展包括：

  • 2021 年 11 月 - Everyday AI 的平台 Dataiku 引入了新的人工智慧治理和管治，作为公司统一人工智慧平台的一部分，允许组织在一个中央管理塔下扩展其人工智慧工作和分析。宣布的监视。
  • 2021 年 3 月 - 印度-美国科技论坛 (IUSSTF) 启动了其旗舰计画—美国-印度人工智慧倡议。这项活动汇集了印度和美国的主要相关人员，共用想法和经验，发现研发方面的新机会，并促进双边合作以加速人工智慧创新。

其他福利

  • 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

第六章市场区隔

  • 按成分
    • 解决方案
    • 按服务
  • 按发展
    • 本地
    • 云
  • 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
      • 其他欧洲国家
    • 亚太地区
      • 中国
      • 印度
      • 日本
      • 其他亚太地区
    • 世界其他地区

第七章 竞争形势

  • 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

The growing consumer concerns about privacy, misuse, and bias climb is among the key factors driving the demand for AI governance. One of the primary objectives of AI governance is to deliver ethical and transparent AI to establish accountability, oversight, and responsibility.

Key Highlights

  • Enterprises increasingly recognize the value of incorporating artificial intelligence (AI) into their business processes to improve operational efficiency and reduce cost by automating process flows.
  • Thus, companies have been using autonomous processes to improve operations and change the face of customer service (for example, through AI-powered chatbots) while spurring innovation to new heights. AI is a set of algorithms that can solve specific problems and works best with a significant volume of high-quality Big Data. Chatbots can cut down the operational costs for businesses by up to 30%.
  • The growing interest of enterprises in AI Governance frameworks is also encouraging vendors and startup companies to develop innovative frameworks that can meet the demand of their customers. For instance, in October 2021, Credo AI, a San Francisco-based company, announced its focus on building ethical AI to help companies manage their artificial intelligence products' regulatory and ethical risks. The company tries to do that by providing an "auditable record" of the data and decisions that go into creating, testing, deploying, and monitoring AI products.
  • AI and Machine learning (ML) has significantly helped in analyzing data related to COVID-19. In April 2020, Amazon Web Services launched Cord-19 Search, a new website powered by ML that could help researchers quickly and easily utilize natural language questions to search tens of thousands of research papers and documents. Since research papers and other documents often involve confidential information, the demand for effective governance frameworks is expected to grow.

AI Governance Market Trends

Growing use of AI in Retail is Expected to Open Up New Avenues for Market Growth

  • The global retail industry is witnessing a massive transformation. As customers become digital natives, their channel preferences and buying habits change. The shift to digital has created concerns about data that drive digital transformation.
  • Proper AI governance is critical to improving overall retail performance, overcoming common challenges, and staying ahead of more powerful retail competitors and more nimble direct-to-consumer brands. Governance eliminates friction for those requiring fast access to data, making more data available to decision-makers.
  • AI and ML are powerful technologies that retail firms are increasingly deploying. However, when the companies should deploy them with a comprehensive ethics plan in the process. Developing a code of conduct is expected to create structures and accountability, leading to good data-management practices and facilitating the establishment of a framework that guides the entire company.
  • Ethical AI interactions are increasingly driving consumer trust, satisfaction, and decision-making. According to the Capgemini Research Institute research, the companies that are perceived to be ethically using AI and ML have a 44-point Net Promoter Score (NPS) advantage over those that are not.
  • Retailers across the globe are also preparing their workforce for deploying end-to-end AI-driven solutions. This is expected to create significant opportunities for the market in the future. A major retailer recently developed a comprehensive training program to equip its 40,000 employees for AI transformation.

North America is Expected to hold the Major Share

  • The North American region is one of the early adopters of AI technology and is expected to generate maximum opportunities for this market. For instance, the United States National AI R&D Plan has recommended the development of an AI R&D implementation framework that helps organizations across the country incorporate ethical considerations into the R&D without compromising on public engagement and how to market one's organization better.
  • The government in the United States is also proactively adopting measures for AI Governance. The government announced the adoption of AI ethical principles in line with the Department of Defense AI strategy objective, thereby facilitating the moral and lawful use of AI systems by the United States military and associated industries.
  • Organizations in North America, particularly in the United States, leveraged the benefits of AI, ML, and deep learning technologies to stay ahead in the industry. The country has well-established economies, which enable AI, and governance vendors to invest in new technologies. Furthermore, it is regarded as the center of innovation where major IT players are rolling out intelligent devices and collaborating with other companies in the AI governance market.
  • Recent concerns over big tech and the impacts of technologies like facial recognition have drawn significant attention to the prospects for artificial intelligence regulation in the United States. The United States AI strategy has been a consistent topic of interest among academics, policymakers, and industry.
  • Various activities by the stakeholders are shaping the market landscape. For instance, in March 2021, NRCan announced a collaboration with Microsoft Canada to share expertise and use the cloud, data, and artificial intelligence (AI) services to develop a national and global scientific cooperation platform.

AI Governance Industry Overview

The intensity of competitive rivalry in the market is expected to be moderately high and remain the same during the forecast period. The recent developments in the market are as follows:-

  • November 2021 - Dataiku, the platform for Everyday AI, announced its new AI governance and oversight as part of the company's unified AI platform to allow organizations to scale AI initiatives and analytics under one centralized control tower.
  • March 2021 - Indo-US Science and Technology Forum (IUSSTF) launched its flagship program, the US-India Artificial Intelligence Initiative. The activity will bring together key stakeholders from India and the USA to foster AI innovation by sharing ideas and experiences, identifying new opportunities in research and development, and bilateral collaboration.

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
      • 6.4.2.4 Rest of Europe
    • 6.4.3 Asia-Pacific
      • 6.4.3.1 China
      • 6.4.3.2 India
      • 6.4.3.3 Japan
      • 6.4.3.4 Rest of Asia-Pacific
    • 6.4.4 Rest of the World

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