查看购物车
  • Traditional Chinese
  • English
  • Japanese
  • Korean
封面
市场调查报告书
商品编码
1802993

全球可解释人工智慧身分验证市场：未来预测（至 2032 年）—按组件、身分验证类型、部署模式、组织规模、应用程式、最终使用者和地区进行分析

Explainable AI Certification Market Forecasts to 2032 - Global Analysis By Component (Platforms and Services), Certification Type, Deployment Mode, Organization Size, 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身分验证市场预计在 2025 年将达到 1.111 亿美元，到 2032 年将达到 4.026 亿美元，预测期内的复合年增长率为 20.2%。

可解释人工智慧 (XAI) 认证是授予个人、组织或系统的正式认证，旨在证明其能够以透明且可解释的方式理解、实施和传达人工智慧模型。此认证强调设计人工智慧系统的能力，决策流程能够清晰地向相关人员解释，确保课责、道德合规性和可靠性。此认证涵盖模型可解释性、偏见检测、符合道德的人工智慧部署和监管标准等原则。透过获得 XAI 认证，专业人士可以展示他们在创建人工智慧解决方案方面的专业知识，这些解决方案不仅有效，而且透明、审核，并符合负责任的人工智慧实践。

监理义务和道德要求

监管要求和伦理要求是推动可解释人工智慧 (XAI) 认证市场发展的强大催化剂。各国政府和产业协会对人工智慧系统的透明度、课责和公平性要求日益提高，迫使各组织采用经过认证的可解释人工智慧解决方案。诸如减少偏见和负责任的人工智慧部署等伦理考量，进一步强化了这一转变，并创造了强劲的市场需求。因此，企业奖励获得 XAI 认证，以确保合规性、增强信任度并维护声誉，从而推动全球市场成长。

缺乏熟练的XAI专业人员

缺乏熟练的可解释人工智慧 (XAI) 专业人员是可解释人工智慧认证市场成长的主要障碍。专业知识的匮乏减缓了先进 XAI 解决方案的采用和实施，限制了组织有效利用认证知识的能力。企业面临培训成本不断增加、计划週期不断延长的问题，降低了整体市场效率。这种人才缺口是阻碍技术创新和 XAI 认证计画在全球推广的重大障碍。

高风险产业的信任与课责

医疗保健、金融和国防等高风险领域的信任和课责正在推动对可解释人工智慧认证的需求。随着监管审查力度的加大，相关人员要求人工智慧系统透明、审核，并符合伦理和营运标准。这种转变将认证提升为一项策略差异化因素，有助于提升市场信任度并促进跨产业应用。透过将课责融入演算法设计，解释人工智慧不仅是一种合规工具，更是一种信任的赋能者，在加速创新的同时，保障公共利益和机构诚信。

技术复杂性和权衡

由于开发强大、可解释的人工智慧系统本身就具有技术复杂性，可解释人工智慧认证市场面临巨大的挑战。在模型效能和可解释性之间取得平衡往往需要权衡利弊，从而减缓采用速度并增加开发成本。这些挑战可能会阻碍企业寻求认证，阻碍因素市场成长。这种复杂性也构成了限制可解释人工智慧解决方案广泛实施和扩充性的障碍。

COVID-19的影响

新冠疫情加速了各行各业的数位转型，并推动了人工智慧技术的普及，导致对可解释人工智慧 (XAI) 认证的需求日益增长。远距办公和对自动化决策的依赖凸显了透明度、课责和合乎道德的人工智慧使用的重要性。虽然培训项目和认证流程暂时中断，但随着各组织优先考虑获得认证的专业人员，以确保可靠的人工智慧应用并符合新的监管标准，整体市场呈现成长态势。

资料隐私与合规部门预计将成为预测期内最大的部门

由于《一般资料保护规范》(GDPR) 和《健康保险流通与责任法案》 ( HIPAA) 等法规要求人工智慧系统透明且审核，从而推动了对经过认证的可追溯人工智慧 (XAI) 框架的需求，预计资料隐私与合规领域将在预测期内占据最大的市场份额。企业正在寻求认证，以证明其符合道德规范的人工智慧部署、降低风险并建立相关人员的信任。这种合规主导的势头正在加速金融、医疗保健和政府部门的采用，将 XAI 认证定位为在法规环境中推动负责任创新和竞争差异化的策略推动者。

预计学术认证领域在预测期内将以最高复合年增长率成长

预计学术认证领域将在预测期内实现最高成长率，因为大学和学院提供结构化的学习支援课程，使专业人员掌握可解释人工智慧 (XAI) 领域的深入技术知识和实践技能，从而增强其员工队伍。随着获得认证的个人在部署透明人工智慧解决方案方面获得认可和信任，这一领域将推动市场采用。对学术资质的重视将加强行业标准，鼓励创新，并加速全球企业对可解释人工智慧的需求。

比最大的地区

由于日益重视透明度、课责和合乎道德的人工智慧部署，预计亚太地区将在预测期内占据最大的市场占有率。金融、医疗保健和製造业等行业对人工智慧的日益普及，推动了对能够确保人工智慧模型可解释性和可靠性的认证专业人员的需求。政府倡议、法律规范以及人们对人工智慧风险日益增长的认识，进一步推动了市场成长，使 XAI 认证成为该地区永续、负责任和创新驱动的人工智慧应用的关键主导。

复合年增长率最高的地区：

预计北美地区在预测期内的复合年增长率最高。这得归功于日益增长的监管要求和伦理担忧，而经过认证的框架则鼓励各组织建立透明且课责的模型。这将提升人们对人工智慧系统的信任，尤其是在医疗保健、金融和公共服务领域。美国在多模态可解释性工具和模型自省技术方面处于领先地位，旨在促进合规性并提升劳动力的准备。随着人工智慧日益复杂，经过认证的可解释性能够确保结果公平且可解释，从而以信任和清晰度加速数位转型。

免费客製化服务

此报告的订阅者将获得以下免费自订选项之一：

  • 公司简介
    • 对其他市场公司（最多 3 家公司）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身分验证市场（按组件）

  • 平台
  • 服务

6. 全球可解释人工智慧身份验证市场（按身份验证类型）

  • 专业认证
  • 学术认证
  • 企业培训和认证

7. 全球可解释人工智慧身分验证市场（按部署模式）

  • 本地
  • 云

8. 全球可解释人工智慧身分验证市场（按组织规模）

  • 小型企业
  • 大公司

9. 全球可解释人工智慧身分验证市场（按应用）

  • 模型的可解释性和透明度
  • 资料隐私与合规性
  • 风险管理
  • 检测偏见和公平
  • 其他的

第 10 章。全球可解释人工智慧身份验证市场（按最终用户）

  • 银行、金融服务和保险（BFSI）
  • 医疗保健和生命科学
  • 资讯科技/通讯
  • 零售与电子商务
  • 政府和国防
  • 製造业
  • 能源与公共产业
  • 其他的

第 11 章。按地区分類的全球可解释人工智慧认证市场

  • 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
    • 其他南美
  • 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

第十二章 重大进展

  • 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

第十三章：公司概况

  • Microsoft
  • Temenos
  • IBM
  • Mphasis
  • Google
  • C3.AI
  • Salesforce
  • H2O.ai
  • Amazon Web Services（AWS）
  • Zest AI
  • Intel Corporation
  • Seldon
  • NVIDIA
  • Squirro
  • SAS Institute
  • DataRobot
  • Alteryx
  • Fiddler
  • Equifax
  • FICO
Product Code: SMRC30519

According to Stratistics MRC, the Global Explainable AI Certification Market is accounted for $111.1 million in 2025 and is expected to reach $402.6 million by 2032 growing at a CAGR of 20.2% during the forecast period. Explainable AI (XAI) Certification is a formal recognition awarded to individuals, organizations, or systems that demonstrate proficiency in understanding, implementing, and communicating artificial intelligence models in a transparent and interpretable manner. This certification emphasizes the ability to design AI systems whose decision-making processes can be clearly explained to stakeholders, ensuring accountability, ethical compliance, and trustworthiness. It covers principles of model interpretability, bias detection, ethical AI deployment, and regulatory standards. By obtaining XAI Certification, professionals showcase their expertise in creating AI solutions that are not only effective but also transparent, auditable, and aligned with responsible AI practices.

Market Dynamics:

Driver:

Regulatory Mandates and Ethical Imperatives

Regulatory mandates and ethical imperatives are powerful catalysts propelling the Explainable AI (XAI) Certification Market forward. Governments and industry bodies increasingly demand transparency, accountability, and fairness in AI systems, compelling organizations to adopt certified explainable AI solutions. Ethical considerations, such as bias mitigation and responsible AI deployment, further reinforce this shift, creating a robust market demand. Consequently, companies are incentivized to obtain XAI certifications to ensure compliance, enhance trust, and maintain reputational integrity, driving market growth globally.

Restraint:

Shortage of Skilled XAI Professionals

The shortage of skilled Explainable AI (XAI) professionals poses a significant roadblock to the growth of the Explainable AI Certification Market. Limited expertise slows adoption, delays implementation of advanced XAI solutions, and restricts organizations from effectively leveraging certified knowledge. Companies face increased training costs and longer project timelines, reducing overall market efficiency. This talent gap acts as a critical restraint, hindering innovation and the widespread acceptance of XAI certification programs globally.

Opportunity:

Trust and Accountability in High-Stakes Sectors

Trust and accountability in high-stakes sectors-like healthcare, finance, and defense-are catalyzing demand for explainable AI certification. As regulatory scrutiny intensifies, stakeholders seek transparent, auditable AI systems that align with ethical and operational standards. This shift elevates certification as a strategic differentiator, fostering market confidence and cross-sector adoption. By embedding accountability into algorithmic design, explainable AI becomes not just a compliance tool but a trust enabler, accelerating innovation while safeguarding public interest and institutional integrity.

Threat:

Technical Complexity and Trade-offs

The Explainable AI Certification Market faces significant challenges due to the technical complexity inherent in developing AI systems that are both powerful and interpretable. Striking a balance between model performance and explainability often forces trade-offs, slowing adoption and increasing development costs. Organizations may hesitate to pursue certification amid these challenges, creating a hindering effect on market growth. This complexity acts as a barrier, limiting widespread implementation and scalability of explainable AI solutions.

Covid-19 Impact

The Covid-19 pandemic accelerated digital transformation across industries, driving increased adoption of AI technologies and, consequently, a heightened need for Explainable AI (XAI) certifications. Remote work and reliance on automated decision-making highlighted the importance of transparency, accountability, and ethical AI use. Despite temporary disruptions in training programs and certification processes, the overall market witnessed growth, as organizations prioritized certified professionals to ensure trustworthy AI deployment and compliance with emerging regulatory standards.

The data privacy & compliance segment is expected to be the largest during the forecast period

The data privacy & compliance segment is expected to account for the largest market share during the forecast period as regulatory mandates like GDPR and HIPAA demand transparent, auditable AI systems, fueling demand for certified XAI frameworks. Enterprises seek certifications to demonstrate ethical AI deployment, mitigate risk, and build stakeholder trust. This compliance-driven momentum is accelerating adoption across finance, healthcare, and government sectors, positioning XAI certification as a strategic enabler of responsible innovation and competitive differentiation in regulated environments.

The academic certification segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the academic certification segment is predicted to witness the highest growth rate as it offers structured, research-backed courses, universities and institutions equip professionals with deep technical knowledge and practical skills in XAI, enhancing workforce competence. This segment drives market adoption as certified individuals gain recognition and trust in deploying transparent AI solutions. The emphasis on academic credentials strengthens industry standards, encourages innovation, and accelerates the demand for explainable AI across enterprises globally.

Region with largest share:

During the forecast period, the Asia Pacific region is expected to hold the largest market share due to increasing prioritizes transparency, accountability, and ethical AI deployment. Growing adoption of AI across industries such as finance, healthcare, and manufacturing is fueling demand for certified professionals who can ensure AI models are interpretable and trustworthy. Government initiatives, regulatory frameworks, and rising awareness of AI risks are further boosting market growth, positioning XAI certification as a critical enabler for sustainable, responsible, and innovation-driven AI adoption in the region.

Region with highest CAGR:

Over the forecast period, the North America region is anticipated to exhibit the highest CAGR, owing to rising regulatory demands and ethical concerns, certification frameworks empower organizations to build transparent, accountable models. This drives trust in AI systems, especially in healthcare, finance, and public services. The U.S. leads innovation with multimodal explainability tools and model introspection techniques, fostering compliance and boosting workforce readiness. As AI complexity grows, certified explainability ensures fair, interpretable outcomes-accelerating digital transformation with confidence and clarity.

Key players in the market

Some of the key players profiled in the Explainable AI Certification Market include Microsoft, Temenos, IBM, Mphasis, Google, C3.AI, Salesforce, H2O.ai, Amazon Web Services (AWS), Zest AI, Intel Corporation, Seldon, NVIDIA, Squirro, SAS Institute, DataRobot, Alteryx, Fiddler, Equifax and FICO.

Key Developments:

In April 2025, IBM and Tokyo Electron (TEL) have renewed their collaboration with a new five-year agreement, focusing on advancing semiconductor and chiplet technologies to support the generative AI era, the initiative aims to develop next-generation semiconductor nodes and architectures, leveraging IBM's expertise in process integration and TEL's cutting-edge equipment.

In March 2025, Google has unveiled two AI models-Gemini Robotics and Gemini Robotics-ER-based on its Gemini 2.0 framework, tailored for the rapidly expanding robotics sector. These models enhance robots' vision, language, and action capabilities, enabling advanced spatial understanding and reasoning. Designed for various robotic forms, including humanoids and industrial units, they aim to accelerate commercialization in industrial settings.

In January 2025, Microsoft and OpenAI announced an evolved partnership. Microsoft retains exclusive rights to OpenAI's models and infrastructure, integrating them into products like Copilot. The OpenAI API remains exclusive to Azure, ensuring customers access leading models via the Azure OpenAI Service.

Components Covered:

  • Platforms
  • Services

Certification Types Covered:

  • Professional Certification
  • Academic Certification
  • Corporate Training & Certification

Deployment Modes Covered:

  • On-Premises
  • Cloud

Organization Sizes Covered:

  • Small & Medium Enterprises (SMEs)
  • Large Enterprises

Applications Covered:

  • Model Interpretability & Transparency
  • Data Privacy & Compliance
  • Risk Management
  • Bias & Fairness Detection
  • Other Applications

End Users Covered:

  • Banking, Financial Services, and Insurance (BFSI)
  • Healthcare & Life Sciences
  • IT & Telecommunications
  • Retail & E-commerce
  • Government & Defense
  • Manufacturing
  • Energy & Utilities
  • Other End Users

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 Certification Market, By Component

  • 5.1 Introduction
  • 5.2 Platforms
  • 5.3 Services

6 Global Explainable AI Certification Market, By Certification Type

  • 6.1 Introduction
  • 6.2 Professional Certification
  • 6.3 Academic Certification
  • 6.4 Corporate Training & Certification

7 Global Explainable AI Certification Market, By Deployment Mode

  • 7.1 Introduction
  • 7.2 On-Premises
  • 7.3 Cloud

8 Global Explainable AI Certification Market, By Organization Size

  • 8.1 Introduction
  • 8.2 Small & Medium Enterprises (SMEs)
  • 8.3 Large Enterprises

9 Global Explainable AI Certification Market, By Application

  • 9.1 Introduction
  • 9.2 Model Interpretability & Transparency
  • 9.3 Data Privacy & Compliance
  • 9.4 Risk Management
  • 9.5 Bias & Fairness Detection
  • 9.6 Other Applications

10 Global Explainable AI Certification Market, By End User

  • 10.1 Introduction
  • 10.2 Banking, Financial Services, and Insurance (BFSI)
  • 10.3 Healthcare & Life Sciences
  • 10.4 IT & Telecommunications
  • 10.5 Retail & E-commerce
  • 10.6 Government & Defense
  • 10.7 Manufacturing
  • 10.8 Energy & Utilities
  • 10.9 Other End Users

11 Global Explainable AI Certification Market, By Geography

  • 11.1 Introduction
  • 11.2 North America
    • 11.2.1 US
    • 11.2.2 Canada
    • 11.2.3 Mexico
  • 11.3 Europe
    • 11.3.1 Germany
    • 11.3.2 UK
    • 11.3.3 Italy
    • 11.3.4 France
    • 11.3.5 Spain
    • 11.3.6 Rest of Europe
  • 11.4 Asia Pacific
    • 11.4.1 Japan
    • 11.4.2 China
    • 11.4.3 India
    • 11.4.4 Australia
    • 11.4.5 New Zealand
    • 11.4.6 South Korea
    • 11.4.7 Rest of Asia Pacific
  • 11.5 South America
    • 11.5.1 Argentina
    • 11.5.2 Brazil
    • 11.5.3 Chile
    • 11.5.4 Rest of South America
  • 11.6 Middle East & Africa
    • 11.6.1 Saudi Arabia
    • 11.6.2 UAE
    • 11.6.3 Qatar
    • 11.6.4 South Africa
    • 11.6.5 Rest of Middle East & Africa

12 Key Developments

  • 12.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 12.2 Acquisitions & Mergers
  • 12.3 New Product Launch
  • 12.4 Expansions
  • 12.5 Other Key Strategies

13 Company Profiling

  • 13.1 Microsoft
  • 13.2 Temenos
  • 13.3 IBM
  • 13.4 Mphasis
  • 13.5 Google
  • 13.6 C3.AI
  • 13.7 Salesforce
  • 13.8 H2O.ai
  • 13.9 Amazon Web Services (AWS)
  • 13.10 Zest AI
  • 13.11 Intel Corporation
  • 13.12 Seldon
  • 13.13 NVIDIA
  • 13.14 Squirro
  • 13.15 SAS Institute
  • 13.16 DataRobot
  • 13.17 Alteryx
  • 13.18 Fiddler
  • 13.19 Equifax
  • 13.20 FICO

List of Tables

  • Table 1 Global Explainable AI Certification Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global Explainable AI Certification Market Outlook, By Component (2024-2032) ($MN)
  • Table 3 Global Explainable AI Certification Market Outlook, By Platforms (2024-2032) ($MN)
  • Table 4 Global Explainable AI Certification Market Outlook, By Services (2024-2032) ($MN)
  • Table 5 Global Explainable AI Certification Market Outlook, By Certification Type (2024-2032) ($MN)
  • Table 6 Global Explainable AI Certification Market Outlook, By Professional Certification (2024-2032) ($MN)
  • Table 7 Global Explainable AI Certification Market Outlook, By Academic Certification (2024-2032) ($MN)
  • Table 8 Global Explainable AI Certification Market Outlook, By Corporate Training & Certification (2024-2032) ($MN)
  • Table 9 Global Explainable AI Certification Market Outlook, By Deployment Mode (2024-2032) ($MN)
  • Table 10 Global Explainable AI Certification Market Outlook, By On-Premises (2024-2032) ($MN)
  • Table 11 Global Explainable AI Certification Market Outlook, By Cloud (2024-2032) ($MN)
  • Table 12 Global Explainable AI Certification Market Outlook, By Organization Size (2024-2032) ($MN)
  • Table 13 Global Explainable AI Certification Market Outlook, By Small & Medium Enterprises (SMEs) (2024-2032) ($MN)
  • Table 14 Global Explainable AI Certification Market Outlook, By Large Enterprises (2024-2032) ($MN)
  • Table 15 Global Explainable AI Certification Market Outlook, By Application (2024-2032) ($MN)
  • Table 16 Global Explainable AI Certification Market Outlook, By Model Interpretability & Transparency (2024-2032) ($MN)
  • Table 17 Global Explainable AI Certification Market Outlook, By Data Privacy & Compliance (2024-2032) ($MN)
  • Table 18 Global Explainable AI Certification Market Outlook, By Risk Management (2024-2032) ($MN)
  • Table 19 Global Explainable AI Certification Market Outlook, By Bias & Fairness Detection (2024-2032) ($MN)
  • Table 20 Global Explainable AI Certification Market Outlook, By Other Applications (2024-2032) ($MN)
  • Table 21 Global Explainable AI Certification Market Outlook, By End User (2024-2032) ($MN)
  • Table 22 Global Explainable AI Certification Market Outlook, By Banking, Financial Services, and Insurance (BFSI) (2024-2032) ($MN)
  • Table 23 Global Explainable AI Certification Market Outlook, By Healthcare & Life Sciences (2024-2032) ($MN)
  • Table 24 Global Explainable AI Certification Market Outlook, By IT & Telecommunications (2024-2032) ($MN)
  • Table 25 Global Explainable AI Certification Market Outlook, By Retail & E-commerce (2024-2032) ($MN)
  • Table 26 Global Explainable AI Certification Market Outlook, By Government & Defense (2024-2032) ($MN)
  • Table 27 Global Explainable AI Certification Market Outlook, By Manufacturing (2024-2032) ($MN)
  • Table 28 Global Explainable AI Certification Market Outlook, By Energy & Utilities (2024-2032) ($MN)
  • Table 29 Global Explainable AI Certification Market Outlook, By Other End Users (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.