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市場調查報告書
商品編碼
2112704

2026-2034年全球可解釋人工智慧市場規模、佔有率、趨勢和成長分析報告

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

出版日期: | 出版商: Value Market Research | 英文 214 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

全球可解釋人工智慧 (XAI) 市場預計將從 2025 年的 97.6 億美元成長至 2034 年的 438.9 億美元,2026 年至 2034 年的複合年成長率 (CAGR) 為 18.18%。隨著各組織努力提升人工智慧系統的透明度和可信度,可解釋人工智慧 (XAI) 市場正經歷顯著成長。隨著人工智慧技術在各行各業的日益普及,理解和解讀人工智慧驅動決策的需求推動了對可解釋性的需求激增。這在金融、醫療保健和自主系統等領域尤其重要,因為人工智慧驅動的決策可能會產生重大影響。為人工智慧輸出提供清晰的解釋不僅能夠增強用戶信任,還有助於合規,這使得 XAI 成為現代人工智慧策略的重要組成部分。

機器學習演算法和自然語言處理的進步正在推動可解釋人工智慧解決方案的發展。這些技術使人工智慧系統能夠為其預測和行為產生人類可理解的解釋,從而簡化決策流程。隨著各組織越來越重視符合倫理的人工智慧實踐,可解釋人工智慧(XAI)市場預計將快速成長,並日益重視開發相關框架以確保人工智慧應用中的課責和公平性。此外,人們對人工智慧系統中存在的偏見日益關注,也進一步推動了這一趨勢,促使各組織採用能夠識別和減輕演算法中潛在偏見的XAI解決方案。

此外,對於尋求負責任地使用人工智慧的組織而言,將可解釋人工智慧整合到現有的人工智慧框架中正變得至關重要。隨著企業認知到將人工智慧計畫與倫理標準和社會期望一致的重要性,對可解釋人工智慧解決方案的需求將持續成長。隨著各組織努力在創新與課責之間取得平衡,並確保人工智慧技術不僅功能強大,而且運作透明可靠,可解釋人工智慧市場預計將進一步發展。

我們的報告經過精心撰寫,旨在提供涵蓋廣泛行業和市場的全面且切實可行的洞察。每份報告都包含幾個關鍵組成部分,旨在幫助您全面了解市場環境:

市場概覽:本節對市場進行了清晰的說明,包括關鍵定義、分類以及當前行業格局的概述。

市場動態:本節詳細評估影響市場成長的主要促進因素、限制因素、機會和挑戰。內容涵蓋技術發展、法律規範和不斷變化的行業趨勢等因素。

市場區隔分析:本部分根據產品類型、應用、最終用戶和地區將市場系統性地分類為若干關鍵細分市場。本部分揭示了每個細分市場的表現、成長潛力和市場貢獻。

競爭格局:我們對主要市場參與企業進行了詳細評估,包括其市場定位、產品系列、策略舉措和財務表現。這有助於深入了解競爭趨勢和主要參與者所採取的策略。

市場預測:本部分提供以資料為基礎的市場規模和成長模式展望,預測期為指定期間。它綜合考慮歷史趨勢、當前市場狀況和定量分析,揭示未來發展趨勢。

區域分析:透過全面檢驗主要地理區域的市場表現,並識別高成長產業和區域趨勢,我們可以更深入地了解每個區域特有的市場機會。

新趨勢與新機會:識別關鍵市場趨勢、技術進步和新興投資機會。本部分重點在於潛在成長領域和未來產業趨勢。

客製化選項:我們提供靈活的報告客製化服務,以滿足您的特定需求。這包括額外的細分、國家/地區分析、競爭對手分析、客製化資料點或針對特定細分市場的洞察,從而更有效地支援您的策略決策。

目錄

第1章:引言

第2章執行摘要

第3章 市場變數、趨勢與框架

  • 市場譜系展望
  • 滲透率和成長前景分析
  • 價值鏈分析
  • 法律規範
    • 標準與合規性
    • 監管影響分析
  • 市場動態
    • 市場促進因素
    • 市場限制因素
    • 市場機遇
    • 市場挑戰
  • 波特五力分析
  • PESTLE分析

第4章:全球可解釋人工智慧市場:按產品/服務分類

  • 市場分析、洞察與預測
  • 解決方案
  • 服務

第5章:全球解釋人工智慧市場:按軟體類型分類

  • 市場分析、洞察與預測
  • 獨立軟體
  • 整合軟體
  • 自動報告產生工具
  • 互動式模型可視化

第6章:全球可解釋人工智慧市場:依方法論分類

  • 市場分析、洞察與預測
  • 與模型無關的方法
  • 模型特定方法

第7章:全球可解釋人工智慧市場:按產業分類

  • 市場分析、洞察與預測
  • BFSI
  • 零售與電子商務
  • IT/ITeS
  • 醫療保健和生命科學
  • 政府/公共部門
  • 媒體與娛樂
  • 製造業
  • 能源公用事業
  • 電訊
  • 其他行業

第8章:全球解釋人工智慧市場:按地區分類

  • 區域分析
  • 北美市場分析、洞察與預測
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲市場分析、洞察與預測
    • 英國
    • 法國
    • 德國
    • 義大利
    • 俄羅斯
    • 其他歐洲國家
  • 亞太市場分析、洞察與預測
    • 印度
    • 日本
    • 韓國
    • 澳洲
    • 東南亞
    • 其他亞太國家
  • 拉丁美洲市場分析、洞察與預測
    • 巴西
    • 阿根廷
    • 秘魯
    • 智利
    • 其他拉丁美洲國家
  • 中東和非洲市場分析、洞察與預測
    • 沙烏地阿拉伯
    • UAE
    • 以色列
    • 南非
    • 其他中東和非洲國家

第9章 競爭情勢

  • 最新趨勢
  • 公司分類
  • 供應鏈和銷售管道合作夥伴(根據現有資訊)
  • 市場佔有率和市場定位分析(基於現有資訊)
  • 供應商情況(基於現有資訊)
  • 策略規劃

第10章:公司簡介

  • 主要公司的市佔率分析
  • 公司簡介
    • Microsoft
    • Amazon Web Services(AWS)
    • IBM
    • Salesforce
    • Google
    • Intel Corporation
    • NVIDIA
    • Equifax
    • FICO
    • Temenos
    • Mphasis
    • SAS Institute
    • Databricks
    • C3.ai
    • Alteryx
簡介目錄
Product Code: VMR112112899

The global explainable AI market size is expected to reach USD 43.89 Billion in 2034 from USD 9.76 Billion in 2025, growing at a CAGR of 18.18% 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 carefully developed to deliver comprehensive and actionable insights across a wide range of industries and markets. Each report includes several essential components designed to provide a complete understanding of the market environment:

Market Overview: This section provides a clear introduction to the market, including key definitions, classifications, and an overview of the current industry landscape.

Market Dynamics: A detailed evaluation of the primary drivers, restraints, opportunities, and challenges shaping market growth. It covers factors such as technological developments, regulatory frameworks, and evolving industry trends.

Segmentation Analysis: A structured breakdown of the market into key segments based on product type, application, end-user, and geographic region. This section highlights the performance, growth potential, and contribution of each segment.

Competitive Landscape: An in-depth assessment of leading market participants, including their market positioning, product portfolios, strategic initiatives, and financial performance. It provides valuable insights into competitive dynamics and the strategies adopted by key players.

Market Forecast: Data-driven projections of market size and growth patterns over a defined forecast period. This section incorporates historical trends, current market conditions, and quantitative analysis to illustrate expected future developments.

Regional Analysis: A comprehensive review of market performance across major geographic regions, identifying high-growth areas and regional trends to better understand localized market opportunities.

Emerging Trends and Opportunities: Identification of significant market trends, technological advancements, and new investment opportunities. This section highlights potential growth areas and future industry developments.

Customization Options: We offer flexible customization services to tailor reports according to specific client requirements. This may include additional segmentation, country-level analysis, competitor profiling, customized data points, or focused insights on particular market segments to better support strategic decision-making.

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, C3.ai, Alteryx

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 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