查看購物車
  • Simplified Chinese
  • English
  • Japanese
封面
市場調查報告書
商品編碼
1649506

負責任的人工智慧市場：預測（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個工作天內

價格
簡介目錄

負責任的人工智慧市場預計將從 2025 年的 942,165,000 美元成長到 2030 年的 2,145,039,000 美元，複合年成長率為 17.89%。

人工智慧 (AI) 擴大被用於推動教育、金融、醫療保健、零售、通訊和銀行等不同領域的關鍵業務決策。例如，在金融領域，機器學習等人工智慧技術被應用於資料分析、風險管理、詐欺偵測和增強客戶服務。這些決策依賴於告知相關人員與各種結果相關的潛在風險的演算法。因此，人們越來越重視人工智慧系統的負責任的部署。負責任的人工智慧包含一系列原則和流程，旨在促進人工智慧應用中的信任、信心和透明度。該框架旨在將道德考量納入人工智慧技術，以最大限度地減少風險和不利影響，同時增強相關人員（包括組織和整個社會）的權力。負責任的人工智慧圍繞著四個核心維度建立：隱私和資料管治、透明度和可解釋性、安全性和保障性、公平性。政府和組織不斷提高對實踐的監管要求，以確保透明度、公平性和安全性，這是負責任的人工智慧市場發展的關鍵驅動力。強制遵守的需求預計將進一步刺激市場成長。此外，圍繞人工智慧系統的道德問題日益突出，例如選舉期間的政治偏見、隱私問題和資料濫用，也將促進市場擴張。此外，隨著與人工智慧相關的事件不斷增加，負責任的人工智慧技術的進步可能會刺激市場需求。例如，AI事件資料庫顯示，2023年報告了123起事件，與前一年同期比較增加了32.35%。

負責任的人工智慧市場的關鍵促進因素

  • 提高監管合規性：政府和組織正在不斷制定在關鍵業務決策中負責任地使用人工智慧的指導方針。人們對人工智慧使用的道德擔憂日益加劇，促使人們推出旨在負責任地在醫療保健和金融等行業部署人工智慧系統的法規。這種監管合規趨勢預計將成為負責任的人工智慧市場的主要驅動力。

例如，美國保險監督官協會發布通知，敦促保險公司關注人工智慧系統內的管治框架、風險管理通訊協定和調查方法。 《加州消費者隱私法案》要求組織負責任地處理個人資訊。此外，英國政府將於 2023 年 3 月發布一份關於「有利於創新的人工智慧監管方法」的文​​件，這將是邁向負責任的人工智慧實踐的重要一步。根據史丹佛大學《2024年人工智慧指數報告》，過去一年五年間，美國人工智慧相關法規數量大幅增加，光2023年就達到25項法規，2016年只有1項。因此，世界各國政府對負責任的人工智慧實踐的監管壓力不斷增加，正在推動市場大幅成長。

地理視角

預計預測期內北美將主導負責任的人工智慧市場。由於美國不斷採用人工智慧和物聯網技術，預計將在該市場的成長中發揮關鍵作用。促進決策透明度和課責的嚴格規定將進一步支持該市場的擴張。根據史丹佛大學的資料，美國在生產頂尖人工智慧模型方面領先中國、歐盟和英國等其他地區。光是 2023 年，就有 61 個值得關注的模式來自美國機構，而來自歐盟的有 21 個，來自中國的有 15 個。另一方面，隨著中國、日本、韓國和印度等國家採用更多人工智慧技術，同時解決與其使用相關的道德問題，預計亞太地區將在預測期內實現成長，進一步推動對負責任的人工智慧實踐的需求。

為什麼要購買這份報告？

  • 深刻分析：獲得深入的市場洞察，涵蓋主要地區和新興地區，重點關注客戶群、政府政策和社會經濟因素、消費者偏好、垂直行業和其他子區隔。
  • 競爭格局：了解全球主要企業所採用的策略策略，並了解正確策略帶來的潛在市場滲透率。
  • 市場趨勢和促進因素：探索動態因素和關鍵市場趨勢以及它們將如何影響未來的市場發展。
  • 可行的建議：利用洞察力進行策略決策，在動態環境中開闢新的業務流和收益。
  • 適合廣泛用戶：對於新興企業、科學研究機構、顧問公司、中小企業和大型企業來說都是有益且具成本效益的。

它有什麼用途？

產業與市場分析、商業機會評估、產品需求預測、打入市場策略、地理擴張、資本支出決策、法律規範與影響、新產品開發、競爭影響

研究範圍

  • 2022 年至 2030 年的實際資料和預測
  • 成長機會、挑戰、供應鏈前景、法規結構、顧客行為、趨勢分析
  • 競爭定位、策略與市場佔有率分析
  • 細分和區域分析，包括收益成長和預測國家
  • 公司概況（策略、產品、財務、主要發展等）

負責任的人工智慧市場區隔如下：

按組件

  • 軟體工具和平台
  • 服務

按部署

  • 本地
  • 雲

按最終用戶

  • 衛生保健
  • BFSI
  • 政府及公共機構
  • 汽車
  • 資訊科技/通訊
  • 其他

按地區

  • 北美洲
  • 美國
  • 加拿大
  • 墨西哥
  • 南美洲
  • 巴西
  • 阿根廷
  • 其他
  • 歐洲
  • 英國
  • 德國
  • 法國
  • 西班牙
  • 其他
  • 中東和非洲
  • 沙烏地阿拉伯
  • UAE
  • 其他
  • 亞太地區
  • 中國
  • 日本
  • 韓國
  • 印度
  • 其他

目錄

第 1 章 簡介

  • 市場概況
  • 市場定義
  • 研究範圍
  • 市場區隔
  • 貨幣
  • 先決條件
  • 基準年和預測年時間表
  • 相關利益者的主要利益

第2章調查方法

  • 研究設計
  • 研究過程

第3章執行摘要

  • 主要發現
  • CXO觀點

第4章 市場動態

  • 市場促進因素
  • 市場限制
  • 波特五力分析
  • 產業價值鏈分析
  • 分析師觀點

第 5 章 負責任的 AI 市場（按組成部分）

  • 介紹
  • 軟體工具和平台
  • 服務

第 6 章 負責任的人工智慧市場（按部署）

  • 介紹
  • 本地
  • 雲

第 7 章 負責任的人工智慧市場（按最終用戶分類）

  • 介紹
  • 衛生保健
  • BFSI
  • 政府和公共部門
  • 汽車
  • 資訊科技/通訊
  • 其他

第 8 章 負責任的人工智慧市場（按地區）

  • 介紹
  • 北美洲
    • 按組件
    • 按部署
    • 按最終用戶
    • 按國家
  • 南美洲
    • 按組件
    • 按部署
    • 按最終用戶
    • 按國家
  • 歐洲
    • 按組件
    • 按部署
    • 按最終用戶
    • 按國家
  • 中東和非洲
    • 按組件
    • 按部署
    • 按最終用戶
    • 按國家
  • 亞太地區
    • 按組件
    • 按部署
    • 按最終用戶
    • 按國家

第9章競爭格局及分析

  • 主要企業和策略分析
  • 市場佔有率分析
  • 合併、收購、協議和合作
  • 競爭儀錶板

第10章 公司簡介

  • Accenture
  • Amazon Web Services
  • IBM
  • Alphabet Inc.
  • Microsoft
  • Intel Corporation
  • SAS Institute Inc.
  • C3 AI
  • FICO
  • H2o.ai
簡介目錄
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