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市场调查报告书
商品编码
1649501

可解释人工智慧市场：预测（2025-2030 年）

Explainable Ai Market - Forecasts from 2025 to 2030
出版日期: | 出版商: Knowledge Sourcing Intelligence | 英文 146 Pages | 商品交期: 最快1-2个工作天内

价格
简介目录

可解释的人工智慧市场预计将从 2025 年的 114.76 亿美元成长到 2030 年的 229.44 亿美元，复合年增长率为 14.86%。

可解释人工智慧（AI）是指旨在提高人工智慧主导的决策流程的准确性、透明度和可理解性的人工智慧模型。它包含使用户能够理解和信任机器学习演算法产生的结果的技术和实践。使用者通常很难理解人工智慧系统如何得出结论，因此可解释的人工智慧透过让人们信任所产生的结果来解决这一挑战。随着可解释人工智慧的价值在各个行业中不断增加，其市场正在经历强劲增长。它在建立对人工智慧决策的信任、管理与模型管治相关的风险以及加速人工智慧的采用方面发挥关键作用。医疗保健和金融等领域越来越多地采用人工智慧技术，推动了对人工智慧决策透明度的需求，从而进一步推动了市场成长。此外，政府法规非常重视人工智慧系统的课责和透明度。

主要成长动力

  • 各行业对人工智慧的应用日益广泛：人工智慧越来越多地融入医疗保健、金融、零售、製造、电子商务和政府服务等领域，推动了对可解释的人工智慧解决方案的需求。 SAP 最近的一项调查显示，2,000 名受访者中 96% 已要求经营团队在公司业务中探索和实施 AI 技术。此外，52% 的受访者计划在未来两年内将人工智慧预算增加 25% 至 50%。
  • 信任和透明度的需求：随着越来越多的组织采用人工智慧技术，理解这些系统所做的决策成为一项挑战。随着企业寻求确保决策流程的信任、信心和透明度，对可解释的人工智慧的需求正在增长。根据史丹佛大学的《2024 年人工智慧指数报告》，44% 的受访组织将透明度和可解释性列为采用人工智慧的关键关注点。

地理视角

预计在整个预测期内，北美将主导可解释的人工智慧市场，其中美国将处于领先地位。该地区人工智慧产业的成长对可解释人工智慧解决方案的扩展做出了巨大贡献。促进决策透明度和课责的严格规定进一步推动了市场成长。根据史丹佛大学的一项研究，美国在研发顶尖人工智慧模型方面落后于中国、欧盟和英国，到 2023 年，将有 61 个值得关注的模式来自美国机构。随着人工智慧的采用不断增加以及 GDPR 等监管要求推动对可解释的人工智慧解决方案的需求，欧洲市场预计也将大幅成长。另一方面，由于中国、日本、韩国和印度等国家越来越多地采用人工智慧技术，预计亚太地区将出现成长，从而增加对人工智慧解决方案的需求。

为什么要购买这份报告？

  • 深刻分析：获得深入的市场洞察，重点关注客户细分、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，涵盖主要地区和新兴地区。
  • 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：利用洞察力做出策略决策，在动态环境中开闢新的业务流和收益。
  • 受众广泛：对于新兴企业、研究机构、顾问公司、中小企业和大型企业都有益且具有成本效益。

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）

可解释的人工智慧市场细分如下：

按类型

  • LIME（局部可解释的模型无关解释）
  • SHAP（Shapely Additive Explanations）
  • 部分依赖图 (PDP)
  • 其他的

按部署

  • 本地
  • 云

按应用

  • 错误检测和调试
  • 诈骗侦测和管理
  • 供应链管理和预测性维护
  • 其他的

按行业

  • 卫生保健
  • 金融和银行服务
  • 政府及公共机构
  • 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
  • 澳洲
  • 印度
  • 印尼
  • 泰国
  • 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 可解释人工智慧市场类型

  • 介绍
  • LIME（局部可解释的模型无关解释）
  • SHAP（Shapely Additive Explanations）
  • 部分依赖图 (PDP)
  • 其他的

6. 按部署分類的可解释人工智慧市场

  • 介绍
  • 本地
  • 云

7. 可解释人工智慧市场（按应用划分）

  • 介绍
  • 错误检测和调试
  • 诈欺检测和管理
  • 供应链管理和预测性维护
  • 其他的

8. 可解释人工智慧市场（依垂直产业划分）

  • 介绍
  • 卫生保健
  • 金融和银行服务
  • 政府和公共部门
  • 资讯科技/通讯
  • 其他的

9. 可解释人工智慧市场（按地区）

  • 介绍
  • 北美洲
    • 按类型
    • 按部署
    • 按应用
    • 按行业
    • 按国家
  • 南美洲
    • 按类型
    • 按部署
    • 按应用
    • 按行业
    • 按国家
  • 欧洲
    • 按类型
    • 按部署
    • 按应用
    • 按行业
    • 按国家
  • 中东和非洲
    • 按类型
    • 按部署
    • 按应用
    • 按行业
    • 按国家
  • 亚太地区
    • 按类型
    • 按部署
    • 按应用
    • 按行业
    • 按国家

第十章 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

第十一章 公司简介

  • IBM
  • Alphabet Inc.
  • Microsoft
  • Equifax
  • Intel Corporation
  • SAS Institute Inc.
  • C3 AI
  • FICO
  • H20.ai
  • Fiddler AI
  • Data Robot
简介目录
Product Code: KSI061617262

The Explainable AI Market is expected to grow at a CAGR of 14.86%, reaching a market size of US$22.944 billion in 2030 from US$11.476 billion in 2025.

Explainable AI (AI) refers to artificial intelligence models designed to enhance accuracy, transparency, and understanding in AI-driven decision-making processes. It encompasses methods and practices that enable users to comprehend and trust the results generated by machine learning algorithms. As users often struggle to grasp how AI systems arrive at their conclusions, explainable AI addresses these challenges by fostering trust in the outcomes produced. Consequently, AI is essential for organizations utilizing AI, as it helps build consumer confidence and trust.The market for explainable AI is witnessing robust growth due to its increasing value across various industries. It plays a critical role in establishing trust in AI decision-making, managing risks associated with model governance, and accelerating AI implementation. The rising adoption of AI technologies in sectors such as healthcare and finance has intensified the demand for transparency in AI-generated decisions, further propelling market growth. Additionally, government regulations are emphasizing accountability and transparency within AI systems.

Key Growth Drivers

  • Increasing AI Adoption Across Industries: The growing integration of AI into sectors like healthcare, finance, retail, manufacturing, e-commerce, and government services is driving the demand for explainable AI solutions. A recent SAP survey revealed that 96% of 2,000 respondents indicated executive mandates to explore and implement AI technologies in their operations. Furthermore, 52% of participants plan to increase their AI budgets by 25% to 50% over the next two years.
  • Need for Trust and Transparency: As more organizations adopt AI technologies, there are challenges in understanding the decisions made by these systems. The demand for explainable AI is rising as organizations seek to ensure trust, confidence, and transparency in their decision-making processes. According to Stanford University's "Artificial Intelligence Index Report 2024," 44% of surveyed organizations identified transparency and explainability as key concerns regarding AI adoption.

Geographical Outlook

North America is projected to dominate the explainable AI market throughout the forecast period, with the United States leading this trend. The region's growth in the AI sector is significantly contributing to the expansion of explainable AI solutions. Strict regulations promoting transparency and accountability in decision-making further drive market growth. Research from Stanford University indicates that the U.S. is ahead of China, the EU, and the U.K. in producing top-tier AI models, with 61 notable models originating from U.S.-based institutions in 2023.The European market is also expected to grow substantially due to increased AI adoption and regulatory requirements like GDPR that foster demand for explainable AI solutions. Meanwhile, the Asia Pacific region will experience growth as countries such as China, Japan, South Korea, and India increasingly adopt AI technologies, boosting the need for AI solutions.

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 Explainable AI market has been segmented as following:

By Type

  • LIME (Local-Interpretable Model-Agnostic Explanations)
  • SHAP (Shapely Additive Explanations)
  • Partial Dependence Plots (PDP)
  • Others

By Deployment

  • On-Premises
  • Cloud

By Application

  • Error detection and Debugging
  • Fraud Detection and Management
  • Supply chain management and Predictive Maintenance
  • Others

By Industry Vertical

  • Healthcare
  • Financial & Banking Services
  • Government and Public sector
  • 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
  • Australia
  • India
  • Indonesia
  • Thailand
  • 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. EXPLAINABLE AI MARKET BY TYPE

  • 5.1. Introduction
  • 5.2. LIME (Local-Interpretable Model-Agnostic Explanations)
  • 5.3. SHAP (Shapely Additive Explanations)
  • 5.4. Partial Dependence Plots (PDP)
  • 5.5. Others

6. EXPLAINABLE AI MARKET BY DEPLOYMENT

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

7. EXPLAINABLE AI MARKET BY APPLICATION

  • 7.1. Introduction
  • 7.2. Error Detection and Debugging
  • 7.3. Fraud Detection and Management
  • 7.4. Supply chain management and Predictive Maintenance
  • 7.5. Others

8. EXPLAINABLE AI MARKET BY INDUSTRY VERTICAL

  • 8.1. Introduction
  • 8.2. Healthcare
  • 8.3. Financial & Banking Services
  • 8.4. Government and Public Sector
  • 8.5. IT and Telecommunication
  • 8.6. Others

9. EXPLAINABLE AI MARKET BY GEOGRAPHY

  • 9.1. Introduction
  • 9.2. North America
    • 9.2.1. By Type
    • 9.2.2. By Deployment
    • 9.2.3. By Application
    • 9.2.4. By Industry-Vertical
    • 9.2.5. By Country
      • 9.2.5.1. USA
      • 9.2.5.2. Canada
      • 9.2.5.3. Mexico
  • 9.3. South America
    • 9.3.1. By Type
    • 9.3.2. By Deployment
    • 9.3.3. By Application
    • 9.3.4. By Industry-Vertical
    • 9.3.5. By Country
      • 9.3.5.1. Brazil
      • 9.3.5.2. Argentina
      • 9.3.5.3. Others
  • 9.4. Europe
    • 9.4.1. By Type
    • 9.4.2. By Deployment
    • 9.4.3. By Application
    • 9.4.4. By Industry-Vertical
    • 9.4.5. By Country
      • 9.4.5.1. United Kingdom
      • 9.4.5.2. Germany
      • 9.4.5.3. France
      • 9.4.5.4. Spain
      • 9.4.5.5. Others
  • 9.5. Middle East and Africa
    • 9.5.1. By Type
    • 9.5.2. By Deployment
    • 9.5.3. By Application
    • 9.5.4. By Industry-Vertical
    • 9.5.5. By Country
      • 9.5.5.1. Saudi Arabia
      • 9.5.5.2. UAE
      • 9.5.5.3. Others
  • 9.6. Asia Pacific
    • 9.6.1. By Type
    • 9.6.2. By Deployment
    • 9.6.3. By Application
    • 9.6.4. By Industry-Vertical
    • 9.6.5. By Country
      • 9.6.5.1. China
      • 9.6.5.2. Japan
      • 9.6.5.3. South Korea
      • 9.6.5.4. Australia
      • 9.6.5.5. India
      • 9.6.5.6. Indonesia
      • 9.6.5.7. Thailand
      • 9.6.5.8. Others

10. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 10.1. Major Players and Strategy Analysis
  • 10.2. Market Share Analysis
  • 10.3. Mergers, Acquisitions, Agreements, and Collaborations
  • 10.4. Competitive Dashboard

11. COMPANY PROFILES

  • 11.1. IBM
  • 11.2. Alphabet Inc.
  • 11.3. Microsoft
  • 11.4. Equifax
  • 11.5. Intel Corporation
  • 11.6. SAS Institute Inc.
  • 11.7. C3 AI
  • 11.8. FICO
  • 11.9. H20.ai
  • 11.10. Fiddler AI
  • 11.11. Data Robot