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市场调查报告书
商品编码
1956643

可解释人工智慧全球市场规模、份额、趋势和成长分析报告(2026-2034)

Global Explainable AI Market Size, Share, Trends & Growth Analysis Report 2026-2034

出版日期: | 出版商: Value Market Research | 英文 177 Pages | 商品交期: 最快1-2个工作天内

价格
简介目录

预计到 2034 年,可解释人工智慧 (XAI) 市场规模将从 2025 年的 96.9 亿美元成长至 539.8 亿美元,2026 年至 2034 年的复合年增长率为 21.02%。

随着各组织机构寻求提升人工智慧系统的透明度和信任度,可解释人工智慧 (XAI) 市场正处于蓬勃发展的风口浪尖。随着人工智慧技术在各行各业的日益普及,理解和解读主导决策的需求也随之激增,推动了对可解释性的需求。这在金融、医疗保健和自主系统等领域尤其重要,因为人工智慧决策可能产生重大影响。清晰地解释人工智慧的输出结果不仅能够增强用户信任,还有助于符合监管要求,因此,XAI 已成为任何现代人工智慧策略不可或缺的组成部分。

机器学习演算法和自然语言处理的进步正在推动可解释人工智慧解决方案的发展。这些技术使人工智慧系统能够为其预测和行为产生人类可理解的解释,从而揭开了决策流程的神秘面纱。随着各组织越来越重视符合伦理的人工智慧实践,并更加重视开发确保人工智慧应用课责和公平性的框架,可解释人工智慧市场预计将快速成长。此外,人们对人工智慧系统中存在的偏见日益关注,也推动了这一趋势,促使各组织采用能够识别和减轻演算法中潜在偏见的可解释人工智慧(xAI)解决方案。

此外,对于致力于负责任地使用人工智慧的组织而言,将可解释人工智慧整合到现有的人工智慧框架中正成为一项战略挑战。随着企业认识到将人工智慧倡议与道德标准和社会期望一致的重要性,对可解释人工智慧解决方案的需求将持续增长。随着各组织寻求在创新和课责之间取得平衡,确保人工智慧技术不仅功能强大,而且运作透明可信,可解释人工智慧市场也将持续发展。

目录

第一章 引言

第二章执行摘要

第三章 市场变数、趋势与框架

  • 市场谱系展望
  • 渗透率和成长前景分析
  • 价值链分析
  • 法律规范
    • 标准与合规性
    • 监管影响分析
  • 市场动态
    • 市场驱动因素
    • 市场限制因素
    • 市场机会
    • 市场问题
  • 波特五力分析
  • PESTLE分析

4. 全球可解释人工智慧市场依产品/服务分类

  • 市场分析、洞察与预测
  • 解决方案
  • 服务

5. 全球可解释人工智慧市场(以软体类型划分)

  • 市场分析、洞察与预测
  • 独立软体
  • 整合软体
  • 自动报告产生工具
  • 互动式模型可视化

6. 全球可解释人工智慧市场按方法论划分

  • 市场分析、洞察与预测
  • 与模型无关的方法
  • 模型特定方法

第七章 全球可解释人工智慧市场(按产业垂直领域划分)

  • 市场分析、洞察与预测
  • BFSI
  • 零售与电子商务
  • IT/ITeS
  • 医疗保健和生命科学
  • 政府/公共部门
  • 媒体与娱乐
  • 製造业
  • 能源与公用事业
  • 电讯
  • 其他行业

8. 全球可解释人工智慧市场(按地区划分)

  • 区域分析
  • 北美市场分析、洞察与预测
    • 我们
    • 加拿大
    • 墨西哥
  • 欧洲市场分析、洞察与预测
    • 英国
    • 法国
    • 德国
    • 义大利
    • 俄罗斯
    • 其他欧洲国家
  • 亚太市场分析、洞察与预测
    • 印度
    • 日本
    • 韩国
    • 澳洲
    • 东南亚
    • 其他亚太国家
  • 拉丁美洲市场分析、洞察与预测
    • 巴西
    • 阿根廷
    • 秘鲁
    • 智利
    • 其他拉丁美洲国家
  • 中东和非洲市场分析、洞察与预测
    • 沙乌地阿拉伯
    • UAE
    • 以色列
    • 南非
    • 其他中东和非洲国家

第九章 竞争情势

  • 最新趋势
  • 公司分类
  • 供应链和销售管道合作伙伴(根据现有资讯)
  • 市场占有率和市场定位分析(基于现有资讯)
  • 供应商情况(基于现有资讯)
  • 策略规划

第十章:公司简介

  • 主要公司的市占率分析
  • 公司简介
    • Microsoft
    • Amazon Web Services(AWS)
    • IBM
    • Salesforce
    • Google
    • Intel Corporation
    • NVIDIA
    • Equifax
    • FICO
    • Temenos
    • Mphasis
    • SAS Institute
    • Databricks
    • C3.Ai
    • Alteryx
简介目录
Product Code: VMR112112899

The Explainable AI Market size is expected to reach USD 53.98 Billion in 2034 from USD 9.69 Billion (2025) growing at a CAGR of 21.02% during 2026-2034.

The Explainable AI (XAI) market is on the cusp of significant growth as organizations seek to enhance transparency and trust in artificial intelligence systems. As AI technologies become more pervasive across industries, the demand for explainability has surged, driven by the need to understand and interpret AI-driven decisions. This is particularly crucial in sectors such as finance, healthcare, and autonomous systems, where the implications of AI decisions can have profound consequences. The ability to provide clear explanations for AI outputs not only fosters user trust but also aids in regulatory compliance, making XAI a vital component of modern AI strategies.

Advancements in machine learning algorithms and natural language processing are propelling the development of explainable AI solutions. These technologies enable AI systems to generate human-understandable explanations for their predictions and actions, thereby demystifying the decision-making process. As organizations increasingly prioritize ethical AI practices, the Explainable AI market is expected to expand rapidly, with a growing emphasis on developing frameworks that ensure accountability and fairness in AI applications. This trend is further supported by the rising awareness of bias in AI systems, prompting organizations to adopt XAI solutions that can identify and mitigate potential biases in their algorithms.

Furthermore, the integration of explainable AI into existing AI frameworks is becoming a strategic imperative for organizations aiming to leverage AI responsibly. As businesses recognize the importance of aligning AI initiatives with ethical standards and societal expectations, the demand for XAI solutions will continue to rise. The Explainable AI market is set to flourish as organizations strive to balance innovation with accountability, ensuring that AI technologies are not only powerful but also transparent and trustworthy in their operations.

Our reports are meticulously crafted to provide clients with comprehensive and actionable insights into various industries and markets. Each report encompasses several critical components to ensure a thorough understanding of the market landscape:

Market Overview: A detailed introduction to the market, including definitions, classifications, and an overview of the industry's current state.

Market Dynamics: In-depth analysis of key drivers, restraints, opportunities, and challenges influencing market growth. This section examines factors such as technological advancements, regulatory changes, and emerging trends.

Segmentation Analysis: Breakdown of the market into distinct segments based on criteria like product type, application, end-user, and geography. This analysis highlights the performance and potential of each segment.

Competitive Landscape: Comprehensive assessment of major market players, including their market share, product portfolio, strategic initiatives, and financial performance. This section provides insights into the competitive dynamics and key strategies adopted by leading companies.

Market Forecast: Projections of market size and growth trends over a specified period, based on historical data and current market conditions. This includes quantitative analyses and graphical representations to illustrate future market trajectories.

Regional Analysis: Evaluation of market performance across different geographical regions, identifying key markets and regional trends. This helps in understanding regional market dynamics and opportunities.

Emerging Trends and Opportunities: Identification of current and emerging market trends, technological innovations, and potential areas for investment. This section offers insights into future market developments and growth prospects.

MARKET SEGMENTATION

By Offering

  • Solutions
  • Services

By Software Type

  • Standalone Software
  • Integrated Software
  • Automated Reporting Tools
  • Interactive Model Visualization

By Methods

  • Model-Agnostic Methods
  • Model-Specific Methods

By Vertical

  • BFSI
  • Retail & eCommerce
  • IT/ITeS
  • Healthcare & Life Sciences
  • Government & Public Sector
  • Media & Entertainment
  • Manufacturing
  • Energy & Utilities
  • Telecommunications
  • Other Verticals

COMPANIES PROFILED

  • Microsoft, Amazon Web Services AWS, IBM, Salesforce, Google, Intel Corporation, NVIDIA, Equifax, FICO, Temenos, Mphasis, SAS Institute, Databricks, C3ai, Alteryx

We can customise the report as per your requriements

TABLE OF CONTENTS

Chapter 1. PREFACE

  • 1.1. Market Segmentation & Scope
  • 1.2. Market Definition
  • 1.3. Information Procurement
    • 1.3.1 Information Analysis
    • 1.3.2 Market Formulation & Data Visualization
    • 1.3.3 Data Validation & Publishing
  • 1.4. Research Scope and Assumptions
    • 1.4.1 List of Data Sources

Chapter 2. EXECUTIVE SUMMARY

  • 2.1. Market Snapshot
  • 2.2. Segmental Outlook
  • 2.3. Competitive Outlook

Chapter 3. MARKET VARIABLES, TRENDS, FRAMEWORK

  • 3.1. Market Lineage Outlook
  • 3.2. Penetration & Growth Prospect Mapping
  • 3.3. Value Chain Analysis
  • 3.4. Regulatory Framework
    • 3.4.1 Standards & Compliance
    • 3.4.2 Regulatory Impact Analysis
  • 3.5. Market Dynamics
    • 3.5.1 Market Drivers
    • 3.5.2 Market Restraints
    • 3.5.3 Market Opportunities
    • 3.5.4 Market Challenges
  • 3.6. Porter's Five Forces Analysis
  • 3.7. PESTLE Analysis

Chapter 4. GLOBAL EXPLAINABLE AI MARKET: BY OFFERING 2022-2034 (USD MN)

  • 4.1. Market Analysis, Insights and Forecast Offering
  • 4.2. Solutions Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 4.3. Services Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 5. GLOBAL EXPLAINABLE AI MARKET: BY SOFTWARE TYPE 2022-2034 (USD MN)

  • 5.1. Market Analysis, Insights and Forecast Software Type
  • 5.2. Standalone Software Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 5.3. Integrated Software Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 5.4. Automated Reporting Tools Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 5.5. Interactive Model Visualization Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 6. GLOBAL EXPLAINABLE AI MARKET: BY METHODS 2022-2034 (USD MN)

  • 6.1. Market Analysis, Insights and Forecast Methods
  • 6.2. Model-Agnostic Methods Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 6.3. Model-Specific Methods Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 7. GLOBAL EXPLAINABLE AI MARKET: BY VERTICAL 2022-2034 (USD MN)

  • 7.1. Market Analysis, Insights and Forecast Vertical
  • 7.2. BFSI Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 7.3. Retail & eCommerce Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 7.4. IT/ITeS Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 7.5. Healthcare & Life Sciences Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 7.6. Government & Public Sector Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 7.7. Media & Entertainment Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 7.8. Manufacturing Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 7.9. Energy & Utilities Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 7.10. Telecommunications Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 7.11. Other Verticals Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 8. GLOBAL EXPLAINABLE AI MARKET: BY REGION 2022-2034(USD MN)

  • 8.1. Regional Outlook
  • 8.2. North America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 8.2.1 By Offering
    • 8.2.2 By Software Type
    • 8.2.3 By Methods
    • 8.2.4 By Vertical
    • 8.2.5 United States
    • 8.2.6 Canada
    • 8.2.7 Mexico
  • 8.3. Europe Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 8.3.1 By Offering
    • 8.3.2 By Software Type
    • 8.3.3 By Methods
    • 8.3.4 By Vertical
    • 8.3.5 United Kingdom
    • 8.3.6 France
    • 8.3.7 Germany
    • 8.3.8 Italy
    • 8.3.9 Russia
    • 8.3.10 Rest Of Europe
  • 8.4. Asia-Pacific Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 8.4.1 By Offering
    • 8.4.2 By Software Type
    • 8.4.3 By Methods
    • 8.4.4 By Vertical
    • 8.4.5 India
    • 8.4.6 Japan
    • 8.4.7 South Korea
    • 8.4.8 Australia
    • 8.4.9 South East Asia
    • 8.4.10 Rest Of Asia Pacific
  • 8.5. Latin America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 8.5.1 By Offering
    • 8.5.2 By Software Type
    • 8.5.3 By Methods
    • 8.5.4 By Vertical
    • 8.5.5 Brazil
    • 8.5.6 Argentina
    • 8.5.7 Peru
    • 8.5.8 Chile
    • 8.5.9 South East Asia
    • 8.5.10 Rest of Latin America
  • 8.6. Middle East & Africa Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 8.6.1 By Offering
    • 8.6.2 By Software Type
    • 8.6.3 By Methods
    • 8.6.4 By Vertical
    • 8.6.5 Saudi Arabia
    • 8.6.6 UAE
    • 8.6.7 Israel
    • 8.6.8 South Africa
    • 8.6.9 Rest of the Middle East And Africa

Chapter 9. COMPETITIVE LANDSCAPE

  • 9.1. Recent Developments
  • 9.2. Company Categorization
  • 9.3. Supply Chain & Channel Partners (based on availability)
  • 9.4. Market Share & Positioning Analysis (based on availability)
  • 9.5. Vendor Landscape (based on availability)
  • 9.6. Strategy Mapping

Chapter 10. COMPANY PROFILES OF GLOBAL EXPLAINABLE AI INDUSTRY

  • 10.1. Top Companies Market Share Analysis
  • 10.2. Company Profiles
    • 10.2.1 Microsoft
    • 10.2.2 Amazon Web Services (AWS)
    • 10.2.3 IBM
    • 10.2.4 Salesforce
    • 10.2.5 Google
    • 10.2.6 Intel Corporation
    • 10.2.7 NVIDIA
    • 10.2.8 Equifax
    • 10.2.9 FICO
    • 10.2.10 Temenos
    • 10.2.11 Mphasis
    • 10.2.12 SAS Institute
    • 10.2.13 Databricks
    • 10.2.14 C3.Ai
    • 10.2.15 Alteryx