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市场调查报告书
商品编码
1649506

负责任的人工智慧市场：预测（2025-2030 年）

Responsible Ai Market - Forecasts from 2025 to 2030
出版日期: | 出版商: Knowledge Sourcing Intelligence | 英文 142 Pages | 商品交期: 最快1-2个工作天内

价格
简介目录

负责任的人工智慧市场预计将从 2025 年的 942,165,000 美元增长到 2030 年的 2,145,039,000 美元，复合年增长率为 17.89%。

人工智慧 (AI) 越来越多地被用于推动教育、金融、医疗保健、零售、通讯和银行等不同领域的关键业务决策。例如，在金融领域，机器学习等人工智慧技术被应用于资料分析、风险管理、诈欺侦测和增强客户服务。这些决策依赖于告知相关人员与各种结果相关的潜在风险的演算法。因此，人们越来越重视人工智慧系统的负责任的部署。负责任的人工智慧包含一系列原则和流程，旨在促进人工智慧应用中的信任、信心和透明度。该框架旨在将道德考量纳入人工智慧技术，以最大限度地减少风险和不利影响，同时增强相关人员（包括组织和整个社会）的权力。负责任的人工智慧围绕着四个核心维度建立：隐私和资料管治、透明度和可解释性、安全性和保障性、公平性。政府和组织不断提高对实践的监管要求，以确保透明度、公平性和安全性，这是负责任的人工智慧市场发展的关键驱动力。强制遵守的需求预计将进一步刺激市场成长。此外，围绕人工智慧系统的道德问题日益突出，例如选举期间的政治偏见、隐私问题和资料滥用，也将促进市场扩张。此外，随着与人工智慧相关的事件不断增加，负责任的人工智慧技术的进步可能会刺激市场需求。例如，AI事件资料库显示，2023年报告了123起事件，与前一年同期比较增加了32.35%。

负责任的人工智慧市场的关键驱动因素

  • 提高监管合规性：政府和组织正在不断制定在关键业务决策中负责任地使用人工智慧的指导方针。人们对人工智慧使用的道德担忧日益加剧，促使人们推出旨在负责任地在医疗保健和金融等行业部署人工智慧系统的法规。这种监管合规趋势预计将成为负责任的人工智慧市场的主要驱动力。

例如，美国保险监督官协会发布通知，敦促保险公司关注人工智慧系统内的管治框架、风险管理通讯协定和调查方法。 《加州消费者隐私法案》要求组织负责任地处理个人资讯。此外，英国政府将于 2023 年 3 月发布一份关于「有利于创新的人工智慧监管方法」的文​​件，这将是迈向负责任的人工智慧实践的重要一步。根据史丹佛大学《2024年人工智慧指数报告》，过去一年五年间，美国人工智慧相关法规数量大幅增加，光2023年就达到25项法规，2016年只有1项。因此，世界各国政府对负责任的人工智慧实践的监管压力不断增加，正在推动市场大幅成长。

地理视角

预计预测期内北美将主导负责任的人工智慧市场。由于美国不断采用人工智慧和物联网技术，预计将在该市场的成长中发挥关键作用。促进决策透明度和课责的严格规定将进一步支持该市场的扩张。根据史丹佛大学的资料，美国在生产顶尖人工智慧模型方面领先中国、欧盟和英国等其他地区。光是 2023 年，就有 61 个值得关注的模式来自美国机构，而来自欧盟的有 21 个，来自中国的有 15 个。另一方面，随着中国、日本、韩国和印度等国家采用更多人工智慧技术，同时解决与其使用相关的道德问题，预计亚太地区将在预测期内实现成长，进一步推动对负责任的人工智慧实践的需求。

为什么要购买这份报告？

  • 深刻分析：获得深入的市场洞察，涵盖主要地区和新兴地区，重点关注客户群、政府政策和社会经济因素、消费者偏好、垂直行业和其他子区隔。
  • 竞争格局：了解全球主要企业所采用的策略策略，并了解正确策略带来的潜在市场渗透率。
  • 市场趋势和驱动因素：探索动态因素和关键市场趋势以及它们将如何影响未来的市场发展。
  • 可行的建议：利用洞察力进行策略决策，在动态环境中开闢新的业务流和收益。
  • 适合广泛用户：对于新兴企业、科学研究机构、顾问公司、中小企业和大型企业来说都是有益且具成本效益的。

它有什么用途？

产业与市场分析、商业机会评估、产品需求预测、打入市场策略、地理扩张、资本支出决策、法律规范与影响、新产品开发、竞争影响

研究范围

  • 2022 年至 2030 年的实际资料和预测
  • 成长机会、挑战、供应链前景、法规结构、顾客行为、趋势分析
  • 竞争定位、策略与市场占有率分析
  • 细分和区域分析，包括收益成长和预测国家
  • 公司概况（策略、产品、财务、主要发展等）

负责任的人工智慧市场区隔如下：

按组件

  • 软体工具和平台
  • 服务

按部署

  • 本地
  • 云

按最终用户

  • 卫生保健
  • BFSI
  • 政府及公共机构
  • 汽车
  • 资讯科技/通讯
  • 其他的

按地区

  • 北美洲
  • 美国
  • 加拿大
  • 墨西哥
  • 南美洲
  • 巴西
  • 阿根廷
  • 其他的
  • 欧洲
  • 英国
  • 德国
  • 法国
  • 西班牙
  • 其他的
  • 中东和非洲
  • 沙乌地阿拉伯
  • UAE
  • 其他的
  • 亚太地区
  • 中国
  • 日本
  • 韩国
  • 印度
  • 其他的

目录

第 1 章 简介

  • 市场概况
  • 市场定义
  • 研究范围
  • 市场区隔
  • 货币
  • 先决条件
  • 基准年和预测年时间表
  • 相关利益者的主要利益

第二章调查方法

  • 研究设计
  • 研究过程

第三章执行摘要

  • 主要发现
  • CXO观点

第四章 市场动态

  • 市场驱动因素
  • 市场限制
  • 波特五力分析
  • 产业价值链分析
  • 分析师观点

第 5 章 负责任的 AI 市场（按组成部分）

  • 介绍
  • 软体工具和平台
  • 服务

第 6 章 负责任的人工智慧市场（按部署）

  • 介绍
  • 本地
  • 云

第 7 章 负责任的人工智慧市场（按最终用户划分）

  • 介绍
  • 卫生保健
  • BFSI
  • 政府和公共部门
  • 汽车
  • 资讯科技/通讯
  • 其他的

第 8 章 负责任的人工智慧市场（按地区）

  • 介绍
  • 北美洲
    • 按组件
    • 按部署
    • 按最终用户
    • 按国家
  • 南美洲
    • 按组件
    • 按部署
    • 按最终用户
    • 按国家
  • 欧洲
    • 按组件
    • 按部署
    • 按最终用户
    • 按国家
  • 中东和非洲
    • 按组件
    • 按部署
    • 按最终用户
    • 按国家
  • 亚太地区
    • 按组件
    • 按部署
    • 按最终用户
    • 按国家

第九章竞争格局及分析

  • 主要企业和策略分析
  • 市场占有率分析
  • 合併、收购、协议和合作
  • 竞争仪錶板

第十章 公司简介

  • Accenture
  • Amazon Web Services
  • IBM
  • Alphabet Inc.
  • Microsoft
  • Intel Corporation
  • SAS Institute Inc.
  • C3 AI
  • FICO
  • H2o.ai
简介目录
Product Code: KSI061617267

The Responsible AI Market is expected to grow at a CAGR of 17.89%, reaching a market size of US$2145.039 million in 2030 from US$942.165 million in 2025.

Various sectors, including education, finance, healthcare, retail, telecommunications, and banking, are increasingly utilizing artificial intelligence (AI) to facilitate critical business decision-making. In the finance sector, for instance, AI technologies such as machine learning are employed to enhance data analysis, risk management, fraud detection, and customer service. These decisions rely on algorithms that inform stakeholders of potential risks associated with various outcomes. Consequently, there has been a growing emphasis on the responsible deployment of AI systems.Responsible AI encompasses a framework of principles and processes aimed at fostering trust, confidence, and transparency in AI applications. It seeks to integrate ethical considerations into AI technologies to minimize risks and adverse effects while empowering organizations and their stakeholders, including society at large. Responsible AI is built around four core dimensions: privacy and data governance, transparency and explainability, security and safety, and fairness.The increasing regulatory requirements from governments and organizations regarding practices that ensure transparency, fairness, and security are significant drivers of the responsible AI market. The need for mandatory compliance is expected to further stimulate market growth. Additionally, rising ethical concerns surrounding AI systems-such as political biases during elections, privacy issues, and data misuse-will also contribute to market expansion. Moreover, advancements in responsible AI technology will enhance market demand as incidents related to AI continue to rise; for example, the AI incident database reported 123 incidents in 2023, marking a 32.35% increase from the previous year.

Key Drivers of the Responsible AI Market

  • Increasing Regulatory Compliance: Governments and organizations are progressively establishing guidelines for the responsible use of artificial intelligence in critical business decisions. Heightened ethical concerns regarding AI usage are prompting regulations aimed at implementing responsible AI systems across industries such as healthcare and finance. This trend towards regulatory compliance will be a crucial factor driving the responsible AI market.

For instance, the National Association of Insurance Commissioners has issued a bulletin urging insurers to focus on governance frameworks, risk management protocols, and testing methodologies within their AI systems. The California Consumer Privacy Act mandates responsible handling of personal information by organizations. Additionally, the U.K. government's March 2023 paper on "A pro-innovation approach to AI regulation" marks a significant step toward responsible AI practices. The EU AI Act of August 2024 categorizes AI applications into risk tiers with corresponding legal obligations and substantial penalties for misuse.According to Stanford University's "Artificial Intelligence Index Report 2024," the number of AI-related regulations in the U.S. has surged significantly over the past year and five years overall; in 2023 alone, there were 25 regulations compared to just one in 2016. Thus, growing regulatory pressure from governments to implement responsible AI practices is driving significant market growth.

Geographical Outlook

North America is projected to dominate the responsible AI market during the forecast period. The United States will play a pivotal role in this market's growth due to its continuous adoption of AI and IoT technologies. Strict regulations promoting transparency and accountability in decision-making further support this market's expansion. Data from Stanford University indicates that the U.S. leads other regions-including China, the EU, and the U.K.-in producing top-tier AI models; in 2023 alone, 61 notable models originated from U.S.-based institutions compared to 21 from the European Union and 15 from China.The European market is also expected to grow significantly due to increasing adoption of AI technologies alongside regulatory requirements like GDPR that drive demand for responsible AI solutions. Meanwhile, the Asia Pacific region is anticipated to witness growth during the forecast period as countries such as China, Japan, South Korea, and India adopt more AI technologies while addressing ethical concerns related to their use-further fueling demand for responsible AI practices.

Reasons for buying this report:-

  • Insightful Analysis: Gain detailed market insights covering major as well as emerging geographical regions, focusing on customer segments, government policies and socio-economic factors, consumer preferences, industry verticals, other sub- segments.
  • Competitive Landscape: Understand the strategic maneuvers employed by key players globally to understand possible market penetration with the correct strategy.
  • Market Drivers & Future Trends: Explore the dynamic factors and pivotal market trends and how they will shape up future market developments.
  • Actionable Recommendations: Utilize the insights to exercise strategic decision to uncover new business streams and revenues in a dynamic environment.
  • Caters to a Wide Audience: Beneficial and cost-effective for startups, research institutions, consultants, SMEs, and large enterprises.

What do businesses use our reports for?

Industry and Market Insights, Opportunity Assessment, Product Demand Forecasting, Market Entry Strategy, Geographical Expansion, Capital Investment Decisions, Regulatory Framework & Implications, New Product Development, Competitive Intelligence

Report Coverage:

  • Historical data & forecasts from 2022 to 2030
  • Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, Customer Behaviour, and Trend Analysis
  • Competitive Positioning, Strategies, and Market Share Analysis
  • Revenue Growth and Forecast Assessment of segments and regions including countries
  • Company Profiling (Strategies, Products, Financial Information, and Key Developments among others)

The Responsible AI Market has been segmented as following:

By Component

  • Software Tools & Platforms
  • Services

By Deployment

  • On-Premises
  • Cloud

By End-User

  • Healthcare
  • BFSI
  • Government and Public Sector
  • Automotive Industry
  • IT and Telecommunication
  • Others

By Geography

  • North America
  • USA
  • Canada
  • Mexico
  • South America
  • Brazil
  • Argentina
  • Others
  • Europe
  • United Kingdom
  • Germany
  • France
  • Spain
  • Others
  • Middle East and Africa
  • Saudi Arabia
  • UAE
  • Others
  • Asia Pacific
  • China
  • Japan
  • South Korea
  • India
  • Others

TABLE OF CONTENTS

1. INTRODUCTION

  • 1.1. Market Overview
  • 1.2. Market Definition
  • 1.3. Scope of the Study
  • 1.4. Market Segmentation
  • 1.5. Currency
  • 1.6. Assumptions
  • 1.7. Base and Forecast Years Timeline
  • 1.8. Key Benefits to the Stakeholder

2. RESEARCH METHODOLOGY

  • 2.1. Research Design
  • 2.2. Research Processes

3. EXECUTIVE SUMMARY

  • 3.1. Key Findings
  • 3.2. CXO Perspective

4. MARKET DYNAMICS

  • 4.1. Market Drivers
  • 4.2. Market Restraints
  • 4.3. Porter's Five Forces Analysis
    • 4.3.1. Bargaining Power of Suppliers
    • 4.3.2. Bargaining Power of Buyers
    • 4.3.3. Threat of New Entrants
    • 4.3.4. Threat of Substitutes
    • 4.3.5. Competitive Rivalry in the Industry
  • 4.4. Industry Value Chain Analysis
  • 4.5. Analyst View

5. RESPONSIBLE AI MARKET BY COMPONENTS

  • 5.1. Introduction
  • 5.2. Software Tools and Platforms
  • 5.3. Services

6. RESPONSIBLE AI MARKET BY DEPLOYMENT

  • 6.1. Introduction
  • 6.2. On-Premises
  • 6.3. Cloud

7. RESPONSIBLE AI MARKET BY END-USER

  • 7.1. Introduction
  • 7.2. Healthcare
  • 7.3. BFSI
  • 7.4. Government and Public Sector
  • 7.5. Automotive Industry
  • 7.6. IT and Telecommunication
  • 7.7. Others

8. RESPONSIBLE AI MARKET BY GEOGRAPHY

  • 8.1. Introduction
  • 8.2. North America
    • 8.2.1. By Component
    • 8.2.2. By Deployment
    • 8.2.3. By End-User
    • 8.2.4. By Country
      • 8.2.4.1. USA
      • 8.2.4.2. Canada
      • 8.2.4.3. Mexico
  • 8.3. South America
    • 8.3.1. By Component
    • 8.3.2. By Deployment
    • 8.3.3. By End-User
    • 8.3.4. By Country
      • 8.3.4.1. Brazil
      • 8.3.4.2. Argentina
      • 8.3.4.3. Others
  • 8.4. Europe
    • 8.4.1. By Component
    • 8.4.2. By Deployment
    • 8.4.3. By End-User
    • 8.4.4. By Country
      • 8.4.4.1. United Kingdom
      • 8.4.4.2. Germany
      • 8.4.4.3. France
      • 8.4.4.4. Spain
      • 8.4.4.5. Others
  • 8.5. Middle East and Africa
    • 8.5.1. By Component
    • 8.5.2. By Deployment
    • 8.5.3. By End-User
    • 8.5.4. By Country
      • 8.5.4.1. Saudi Arabia
      • 8.5.4.2. UAE
      • 8.5.4.3. Others
  • 8.6. Asia Pacific
    • 8.6.1. By Component
    • 8.6.2. By Deployment
    • 8.6.3. By End-User
    • 8.6.4. By Country
      • 8.6.4.1. China
      • 8.6.4.2. Japan
      • 8.6.4.3. South Korea
      • 8.6.4.4. India
      • 8.6.4.5. Others

9. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 9.1. Major Players and Strategy Analysis
  • 9.2. Market Share Analysis
  • 9.3. Mergers, Acquisitions, Agreements, and Collaborations
  • 9.4. Competitive Dashboard

10. COMPANY PROFILES

  • 10.1. Accenture
  • 10.2. Amazon Web Services
  • 10.3. IBM
  • 10.4. Alphabet Inc.
  • 10.5. Microsoft
  • 10.6. Intel Corporation
  • 10.7. SAS Institute Inc.
  • 10.8. C3 AI
  • 10.9. FICO
  • 10.10. H2o.ai