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市场调查报告书
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1797991

2032 年可解释人工智慧市场预测：按组件、部署、应用、最终用户和地区进行的全球分析

Explainable AI Market Forecasts to 2032 - Global Analysis By Component (Solution and Services), Deployment, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3个工作天内

价格

根据 Stratistics MRC 的数据，全球可解释人工智慧市场预计在 2025 年将达到 85 亿美元，到 2032 年将达到 228 亿美元，预测期内的复合年增长率为 15%。

可解释人工智慧 (XAI) 是指能够向人类使用者提供透明、可理解和可解释结果的人工智慧系统。与「黑箱」模型不同，XAI 允许使用者理解 AI 决策的製定过程，从而建立信任并实现课责。这在可解释性至关重要的领域尤其重要，例如医疗保健、金融和法律。透过使演算法更易于访问，使洞察更具可操作性，XAI 弥合了复杂的机器学习输出与现实世界人类决策之间的差距。

对人工智慧透明度和课责的需求日益增长

对人工智慧系统透明度和课责日益增长的需求，是推动可解释人工智慧市场发展的关键驱动力。随着金融、医疗保健和法律等受监管行业的人工智慧应用日益普及，相关人员正在寻求演算法决策的清晰度。伦理担忧、管治压力以及《欧盟人工智慧法案》等法律规范，正推动企业采用可解释模型。这种日益增长的建立用户信任和确保合规性的需求，正在加速全球市场对可解释工具和框架的投资。

模型可解释性的技术复杂性

阻碍可解释人工智慧市场发展的关键因素是解释复杂机器学习模型的技术复杂性。深度学习演算法虽然高度准确，但通常如同“黑盒子”，其提供的人类可读性有限。开发既能保持模型性能，又能提供可理解解释的技术仍然充满挑战。这种复杂性增加了实施时间和成本，需要专业知识，也为希望将可解释人工智慧 (XAI) 整合到现有人工智慧工作流程和决策支援系统中的中小企业带来了障碍。

XAI即服务平台的成长

可解释人工智慧即服务 (XAIaaS) 平台的兴起，为模型可解释性提供了即插即用的工具，创造了巨大的市场机会。人工智慧提供者提供的云端基础的解决方案简化了集成，使企业无需大量内部专业知识即可实现可解释性。这些平台支援即时监控、合规性报告和模型审核。随着各行各业对符合道德规范的人工智慧的需求日益增长，这些可扩展、经济高效的服务越来越受到企业、新兴企业和政府机构的青睐，他们致力于提高自动化系统的透明度和课责。

透明度可能会暴露专有演算法

可解释人工智慧市场面临的最大威胁之一是专有演算法和智慧财产权的潜在洩漏。企业可能不愿意采用完全透明的模型，担心这会洩漏其竞争优势或敏感的业务逻辑。这种在可解释性和保密性之间的权衡，可能会限制依赖独特专有人工智慧演算法的行业的应用。此外，攻击者可能会利用洩漏的模型逻辑来操纵输出，这引发了人们对系统漏洞及其被利用风险的担忧。

COVID-19的影响：

新冠疫情加速了医疗、金融和物流等多个产业的数位转型，包括人工智慧的应用。相关人员要求影响公共卫生、资源配置和财务结果的自动化决策保持透明。从疾病诊断到供应链管理，可解释人工智慧 (XAI) 在提升人们对人工智慧主导建议的信任方面发挥了关键作用。这场疫情凸显了可解释人工智慧在高风险情境中的重要性，并增强了人们对可解释人工智慧领域的长期兴趣和投资。

预计解决方案部门将成为预测期内最大的部门

由于企业对提供模型洞察和可解释性的高阶软体工具的需求不断增长，预计解决方案细分市场将在预测期内占据最大市场占有率。这包括与模型无关的工具、视觉化仪表板以及可与现有AI工作流程无缝整合的API。企业正在投资可解释性解决方案，以确保合规性、增强客户信任度并提高决策品质。随着对道德AI和管治的日益重视，提供强大的解决方案已成为企业AI策略的重要组成部分。

预计在预测期内，内部部署部分将以最高的复合年增长率成长。

由于对安全、内部AI可解释解决方案的需求不断增长，预计本地部署领域将在预测期内实现最高成长率。国防、银行和医疗保健等行业更倾向于本地部署，以维护资料主权、降低延迟并保护智慧财产权。本地部署模式还能对演算法和内部基础架构进行更严格的控制，从而满足合规性要求。日益增长的网路安全担忧以及对高度客製化的偏好，正在推动企业（尤其是在大型企业中）对这一领域的兴趣。

占比最大的地区：

预计亚太地区将在预测期内占据最大的市场占有率，这得益于快速数位化、政府人工智慧计画以及金融服务和医疗保健领域人工智慧的广泛应用。中国、印度和日本等国家正积极投资透明的人工智慧生态系统，以确保负责任的部署。随着人工智慧新兴企业数量的增加、研发支出的增加以及法律规范的不断加强，该地区将继续在人工智慧应用和创新方面保持领先地位。

复合年增长率最高的地区：

由于北美地区拥有强大的技术基础设施、较高的人工智慧采用率以及对人工智慧管治的严格监管要求，预计其在预测期内的复合年增长率最高。医疗保健、金融服务和保险业（BFSI）以及政府部门的企业正优先考虑人工智慧系统的透明度、可解释性和道德的决策。领先科技公司的涌现以及对负责任的人工智慧研究和标准制定的不断投资，使北美成为xAI市场快速持续成长的中心。

免费客製化服务

此报告的订阅者可以使用以下免费自订选项之一：

  • 公司简介
    • 对最多三家其他市场公司进行全面分析
    • 主要企业的SWOT分析（最多3家公司）
  • 区域细分
    • 根据客户兴趣对主要国家进行的市场估计、预测和复合年增长率（註：基于可行性检查）
  • 竞争基准化分析
    • 根据产品系列、地理分布和策略联盟对主要企业基准化分析

目录

第一章执行摘要

第二章 前言

  • 概述
  • 相关利益者
  • 调查范围
  • 调查方法
    • 资料探勘
    • 数据分析
    • 数据检验
    • 研究途径
  • 研究材料
    • 主要研究资料
    • 次级研究资讯来源
    • 先决条件

第三章市场走势分析

  • 驱动程式
  • 抑制因素
  • 机会
  • 威胁
  • 应用分析
  • 最终用户分析
  • 新兴市场
  • COVID-19的影响

第四章 波特五力分析

  • 供应商的议价能力
  • 买方的议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争对手之间的竞争

5. 全球可解释人工智慧市场（按组件划分）

  • 解决方案
  • 服务

6. 全球可解释人工智慧市场（按部署）

  • 云
  • 本地

7. 全球可解释人工智慧市场（按应用）

  • 诈欺和异常检测
  • 药物研发与诊断
  • 预测性维护
  • 供应链管理
  • 身分和存取管理
  • 其他用途

8. 全球可解释人工智慧市场（按最终用户）

  • 卫生保健
  • BFSI
  • 航太和国防
  • 零售与电子商务
  • 公共部门和公共产业
  • 资讯科技/通讯
  • 车

9. 全球可解释人工智慧市场（按地区）

  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲国家
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 其他亚太地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地区
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲地区

第十章：主要发展

  • 协议、伙伴关係、合作和合资企业
  • 收购与合併
  • 新产品发布
  • 业务扩展
  • 其他关键策略

第十一章 公司概况

  • Microsoft Corporation
  • Alphabet Inc.（Google LLC）
  • Amazon Web Services Inc.（Amazon.com Inc.）
  • NVIDIA Corporation
  • IBM Corporation
  • Intel Corporation
  • Mphasis Limited
  • Alteryx, Inc.
  • Palantir Technologies Inc.
  • Salesforce, Inc.
  • Oracle Corporation
  • Cisco Systems, Inc.
  • Meta Platforms, Inc.（Facebook）
  • Broadcom Inc.
  • Advanced Micro Devices（AMD）
  • SAP SE
  • Twilio Inc.
  • ServiceNow, Inc.
Product Code: SMRC30361

According to Stratistics MRC, the Global Explainable AI Market is accounted for $8.5 billion in 2025 and is expected to reach $22.8 billion by 2032 growing at a CAGR of 15% during the forecast period. Explainable AI (XAI) refers to artificial intelligence systems that provide transparent, understandable, and interpretable results to human users. Unlike "black-box" models, XAI allows users to understand how AI decisions are made, which builds trust and enables accountability. It is especially critical in high-stakes sectors like healthcare, finance, and law where interpretability is essential. By making algorithms more accessible and insights more actionable, XAI bridges the gap between complex machine learning outputs and real-world human decision-making.

Market Dynamics:

Driver:

Rising demand for AI transparency and accountability

The rising demand for transparency and accountability in AI systems is a key driver fueling the Explainable AI market. As AI adoption grows in regulated industries like finance, healthcare, and legal, stakeholders require clarity on algorithmic decision-making. Ethical concerns, governance pressures, and regulatory frameworks such as the EU AI Act are pushing enterprises to adopt interpretable models. This growing need to build user trust and ensure compliance is accelerating investments in explainability tools and frameworks across global markets.

Restraint:

Technical complexity in model interpretability

A major restraint hampering the Explainable AI market is the technical complexity involved in interpreting complex machine learning models. Deep learning algorithms, while highly accurate, often function as "black boxes" with limited human-readable insight. Developing methods that maintain model performance while offering understandable explanations remains challenging. This complexity increases implementation time, costs, and requires specialized expertise, creating barriers for small and medium-sized enterprises attempting to integrate XAI into existing AI workflows and decision support systems.

Opportunity:

Growth of XAI-as-a-Service platforms

The rise of Explainable AI-as-a-Service (XAIaaS) platforms presents a significant market opportunity, offering plug-and-play tools for model interpretability. Cloud-based solutions from AI providers simplify integration and allow businesses to implement explainability without extensive in-house expertise. These platforms enable real-time monitoring, compliance reporting, and model auditing. With increasing demand across industries for ethical AI, these scalable and cost-efficient services are gaining traction among enterprises, startups, and government institutions aiming to boost transparency and accountability in automated systems.

Threat:

Risk of exposing proprietary algorithms through transparency

One of the most critical threats to the Explainable AI market is the potential exposure of proprietary algorithms and intellectual property. Companies may hesitate to adopt full transparency models for fear of revealing competitive advantages or sensitive business logic. This trade-off between explainability and confidentiality can limit adoption in industries that rely on unique, proprietary AI algorithms. Additionally, adversaries could exploit revealed model logic to manipulate outputs, creating concerns over system vulnerability and exploitation risks.

Covid-19 Impact:

The COVID-19 pandemic accelerated digital transformation, including AI adoption, across multiple sectors-especially healthcare, finance, and logistics. In this surge, explainable AI gained traction as stakeholders demanded transparency in automated decisions affecting public health, resource allocation, and financial outcomes. XAI played a crucial role in enhancing trust in AI-driven recommendations, from diagnosing diseases to managing supply chains. The pandemic highlighted the importance of interpretable AI in high-stakes scenarios, reinforcing long-term interest and investment in the Explainable AI landscape.

The solution segment is expected to be the largest during the forecast period

The solution segment is expected to account for the largest market share during the forecast period, owing to rising enterprise demand for advanced software tools that provide model insights and interpretability. These include model-agnostic tools, visualization dashboards, and APIs that integrate seamlessly with existing AI workflows. Businesses are investing in explainability solutions to ensure regulatory compliance, enhance customer trust, and improve decision-making quality. As the emphasis on ethical AI and governance grows, robust solution offerings are becoming essential components of enterprise AI strategies.

The on-premise segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the on-premise segment is predicted to witness the highest growth rate, due to growing demand for secure, in-house AI interpretability solutions. Industries such as defense, banking, and healthcare prefer on-premise deployment to maintain data sovereignty, reduce latency, and protect intellectual property. On-premise models allow tighter control over algorithms and internal infrastructure, aligning with compliance mandates. With rising cybersecurity concerns and a preference for high customization, this segment is witnessing growing interest, especially among large-scale enterprises.

Region with largest share:

During the forecast period, the Asia Pacific region is expected to hold the largest market share, driven by rapid digitalization, government AI initiatives, and the proliferation of AI in financial services and healthcare. Countries like China, India, and Japan are actively investing in transparent AI ecosystems to ensure responsible deployment. With a large number of AI startups, increasing R&D spending, and expanding regulatory oversight, the region continues to be a leader in XAI adoption and innovation.

Region with highest CAGR:

Over the forecast period, the North America region is anticipated to exhibit the highest CAGR attributed to robust technological infrastructure, high AI adoption rates, and stringent regulatory demands for AI governance. Enterprises across healthcare, BFSI, and government sectors are prioritizing transparency, interpretability, and ethical decision-making in their AI systems. The presence of leading tech firms, coupled with growing investment in responsible AI research and standard-setting, positions North America as a hub for rapid and sustained XAI market growth.

Key players in the market

Some of the key players in Explainable AI Market include Microsoft Corporation, Alphabet Inc. (Google LLC), Amazon Web Services Inc. (Amazon.com Inc.), NVIDIA Corporation, IBM Corporation, Intel Corporation, Mphasis Limited, Alteryx, Inc., Palantir Technologies Inc., Salesforce, Inc., Oracle Corporation, Cisco Systems, Inc., Meta Platforms, Inc. (Facebook), Broadcom Inc., Advanced Micro Devices (AMD), SAP SE, Twilio Inc. and ServiceNow, Inc.

Key Developments:

In June 2025, Microsoft enhanced its open-source InterpretML toolkit, adding advanced features for model interpretability and bias detection across AI workflows. This update helps enterprises comply with emerging AI regulations and build user trust by providing transparent AI decision explanations in sectors like healthcare, finance, and government.

In May 2025, Google launched a comprehensive Explainable AI Hub in Google Cloud, offering integrated tools for model transparency, fairness assessment, and causal analysis. The platform supports regulated industries requiring explainability, such as insurance and healthcare, enhancing AI adoption with compliance assistance and improved risk management.

In April 2025, AWS updated its SageMaker Clarify service expanded its capabilities for detecting bias and providing global and local explanations for AI models. These features help developers examine model fairness and interpret complex predictions, strengthening AI governance across retail, finance, and logistics applications.

Components Covered:

  • Solution
  • Services

Deployments Covered:

  • Cloud
  • On-Premise

Applications Covered:

  • Fraud & Anomaly Detection
  • Drug Discovery & Diagnostics
  • Predictive Maintenance
  • Supply Chain Management
  • Identity & Access Management
  • Other Applications

End Users Covered:

  • Healthcare
  • BFSI
  • Aerospace & Defense
  • Retail and Ecommerce
  • Public Sector & Utilities
  • IT & Telecommunication
  • Automotive

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Application Analysis
  • 3.7 End User Analysis
  • 3.8 Emerging Markets
  • 3.9 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Explainable AI Market, By Component

  • 5.1 Introduction
  • 5.2 Solution
  • 5.3 Services

6 Global Explainable AI Market, By Deployment

  • 6.1 Introduction
  • 6.2 Cloud
  • 6.3 On-Premise

7 Global Explainable AI Market, By Application

  • 7.1 Introduction
  • 7.2 Fraud & Anomaly Detection
  • 7.3 Drug Discovery & Diagnostics
  • 7.4 Predictive Maintenance
  • 7.5 Supply Chain Management
  • 7.6 Identity & Access Management
  • 7.7 Other Applications

8 Global Explainable AI Market, By End User

  • 8.1 Introduction
  • 8.2 Healthcare
  • 8.3 BFSI
  • 8.4 Aerospace & Defense
  • 8.5 Retail and Ecommerce
  • 8.6 Public Sector & Utilities
  • 8.7 IT & Telecommunication
  • 8.8 Automotive

9 Global Explainable AI Market, By Geography

  • 9.1 Introduction
  • 9.2 North America
    • 9.2.1 US
    • 9.2.2 Canada
    • 9.2.3 Mexico
  • 9.3 Europe
    • 9.3.1 Germany
    • 9.3.2 UK
    • 9.3.3 Italy
    • 9.3.4 France
    • 9.3.5 Spain
    • 9.3.6 Rest of Europe
  • 9.4 Asia Pacific
    • 9.4.1 Japan
    • 9.4.2 China
    • 9.4.3 India
    • 9.4.4 Australia
    • 9.4.5 New Zealand
    • 9.4.6 South Korea
    • 9.4.7 Rest of Asia Pacific
  • 9.5 South America
    • 9.5.1 Argentina
    • 9.5.2 Brazil
    • 9.5.3 Chile
    • 9.5.4 Rest of South America
  • 9.6 Middle East & Africa
    • 9.6.1 Saudi Arabia
    • 9.6.2 UAE
    • 9.6.3 Qatar
    • 9.6.4 South Africa
    • 9.6.5 Rest of Middle East & Africa

10 Key Developments

  • 10.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 10.2 Acquisitions & Mergers
  • 10.3 New Product Launch
  • 10.4 Expansions
  • 10.5 Other Key Strategies

11 Company Profiling

  • 11.1 Microsoft Corporation
  • 11.2 Alphabet Inc. (Google LLC)
  • 11.3 Amazon Web Services Inc. (Amazon.com Inc.)
  • 11.4 NVIDIA Corporation
  • 11.5 IBM Corporation
  • 11.6 Intel Corporation
  • 11.7 Mphasis Limited
  • 11.8 Alteryx, Inc.
  • 11.9 Palantir Technologies Inc.
  • 11.10 Salesforce, Inc.
  • 11.11 Oracle Corporation
  • 11.12 Cisco Systems, Inc.
  • 11.13 Meta Platforms, Inc. (Facebook)
  • 11.14 Broadcom Inc.
  • 11.15 Advanced Micro Devices (AMD)
  • 11.16 SAP SE
  • 11.17 Twilio Inc.
  • 11.18 ServiceNow, Inc.

List of Tables

  • Table 1 Global Explainable AI Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global Explainable AI Market Outlook, By Component (2024-2032) ($MN)
  • Table 3 Global Explainable AI Market Outlook, By Solution (2024-2032) ($MN)
  • Table 4 Global Explainable AI Market Outlook, By Services (2024-2032) ($MN)
  • Table 5 Global Explainable AI Market Outlook, By Deployment (2024-2032) ($MN)
  • Table 6 Global Explainable AI Market Outlook, By Cloud (2024-2032) ($MN)
  • Table 7 Global Explainable AI Market Outlook, By On-Premise (2024-2032) ($MN)
  • Table 8 Global Explainable AI Market Outlook, By Application (2024-2032) ($MN)
  • Table 9 Global Explainable AI Market Outlook, By Fraud & Anomaly Detection (2024-2032) ($MN)
  • Table 10 Global Explainable AI Market Outlook, By Drug Discovery & Diagnostics (2024-2032) ($MN)
  • Table 11 Global Explainable AI Market Outlook, By Predictive Maintenance (2024-2032) ($MN)
  • Table 12 Global Explainable AI Market Outlook, By Supply Chain Management (2024-2032) ($MN)
  • Table 13 Global Explainable AI Market Outlook, By Identity & Access Management (2024-2032) ($MN)
  • Table 14 Global Explainable AI Market Outlook, By Other Applications (2024-2032) ($MN)
  • Table 15 Global Explainable AI Market Outlook, By End User (2024-2032) ($MN)
  • Table 16 Global Explainable AI Market Outlook, By Healthcare (2024-2032) ($MN)
  • Table 17 Global Explainable AI Market Outlook, By BFSI (2024-2032) ($MN)
  • Table 18 Global Explainable AI Market Outlook, By Aerospace & Defense (2024-2032) ($MN)
  • Table 19 Global Explainable AI Market Outlook, By Retail and Ecommerce (2024-2032) ($MN)
  • Table 20 Global Explainable AI Market Outlook, By Public Sector & Utilities (2024-2032) ($MN)
  • Table 21 Global Explainable AI Market Outlook, By IT & Telecommunication (2024-2032) ($MN)
  • Table 22 Global Explainable AI Market Outlook, By Automotive (2024-2032) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.