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1802993

全球可解釋人工智慧身分驗證市場：未來預測（至 2032 年）—按組件、身分驗證類型、部署模式、組織規模、應用程式、最終使用者和地區進行分析

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個工作天內

價格

根據 Stratistics MRC 的數據，全球可解釋人工智慧身分驗證市場預計在 2025 年將達到 1.111 億美元，到 2032 年將達到 4.026 億美元，預測期內的複合年成長率為 20.2%。

可解釋人工智慧 (XAI) 認證是授予個人、組織或系統的正式認證，旨在證明其能夠以透明且可解釋的方式理解、實施和傳達人工智慧模型。此認證強調設計人工智慧系統的能力，決策流程能夠清晰地向相關人員解釋，確保課責、道德合規性和可靠性。此認證涵蓋模型可解釋性、偏見檢測、符合道德的人工智慧部署和監管標準等原則。透過獲得 XAI 認證，專業人士可以展示他們在創建人工智慧解決方案方面的專業知識，這些解決方案不僅有效，而且透明、審核，並符合負責任的人工智慧實踐。

監理義務和道德要求

監管要求和倫理要求是推動可解釋人工智慧 (XAI) 認證市場發展的強大催化劑。各國政府和產業協會對人工智慧系統的透明度、課責和公平性要求日益提高，迫使各組織採用經過認證的可解釋人工智慧解決方案。諸如減少偏見和負責任的人工智慧部署等倫理考量，進一步強化了這一轉變，並創造了強勁的市場需求。因此，企業獎勵獲得 XAI 認證，以確保合規性、增強信任度並維護聲譽，從而推動全球市場成長。

缺乏熟練的XAI專業人員

缺乏熟練的可解釋人工智慧 (XAI) 專業人員是可解釋人工智慧認證市場成長的主要障礙。專業知識的匱乏減緩了先進 XAI 解決方案的採用和實施，限制了組織有效利用認證知識的能力。企業面臨培訓成本不斷增加、計劃週期不斷延長的問題，降低了整體市場效率。這種人才缺口是阻礙技術創新和 XAI 認證計畫在全球推廣的重大障礙。

高風險產業的信任與課責

醫療保健、金融和國防等高風險領域的信任和課責正在推動對可解釋人工智慧認證的需求。隨著監管審查力度的加大，相關人員要求人工智慧系統透明、審核，並符合倫理和營運標準。這種轉變將認證提升為一項策略差異化因素，有助於提升市場信任度並促進跨產業應用。透過將課責融入演算法設計，解釋人工智慧不僅是一種合規工具，更是一種信任的賦能者，在加速創新的同時，保障公共利益和機構誠信。

技術複雜性和權衡

由於開發強大、可解釋的人工智慧系統本身就具有技術複雜性，可解釋人工智慧認證市場面臨巨大的挑戰。在模型效能和可解釋性之間取得平衡往往需要權衡利弊，從而減緩採用速度並增加開發成本。這些挑戰可能會阻礙企業尋求認證，阻礙因素市場成長。這種複雜性也構成了限制可解釋人工智慧解決方案廣泛實施和擴充性的障礙。

COVID-19的影響

新冠疫情加速了各行各業的數位轉型，並推動了人工智慧技術的普及，導致對可解釋人工智慧 (XAI) 認證的需求日益成長。遠距辦公和對自動化決策的依賴凸顯了透明度、課責和合乎道德的人工智慧使用的重要性。雖然培訓項目和認證流程暫時中斷，但隨著各組織優先考慮獲得認證的專業人員，以確保可靠的人工智慧應用並符合新的監管標準，整體市場呈現成長態勢。

資料隱私與合規部門預計將成為預測期內最大的部門

由於《一般資料保護規範》(GDPR) 和《健康保險流通與責任法案》 ( HIPAA) 等法規要求人工智慧系統透明且審核，從而推動了對經過認證的可追溯人工智慧 (XAI) 框架的需求，預計資料隱私與合規領域將在預測期內佔據最大的市場佔有率。企業正在尋求認證，以證明其符合道德規範的人工智慧部署、降低風險並建立相關人員的信任。這種合規主導的勢頭正在加速金融、醫療保健和政府部門的採用，將 XAI 認證定位為在法規環境中推動負責任創新和競爭差異化的策略推動者。

預計學術認證領域在預測期內將以最高複合年成長率成長

預計學術認證領域將在預測期內實現最高成長率，因為大學和學院提供結構化的學習支援課程，使專業人員掌握可解釋人工智慧 (XAI) 領域的深入技術知識和實踐技能，從而增強其員工隊伍。隨著獲得認證的個人在部署透明人工智慧解決方案方面獲得認可和信任，這一領域將推動市場採用。對學術資質的重視將加強行業標準，鼓勵創新，並加速全球企業對可解釋人工智慧的需求。

比最大的地區

由於日益重視透明度、課責和合乎道德的人工智慧部署，預計亞太地區將在預測期內佔據最大的市場佔有率。金融、醫療保健和製造業等行業對人工智慧的日益普及，推動了對能夠確保人工智慧模型可解釋性和可靠性的認證專業人員的需求。政府舉措、法律規範以及人們對人工智慧風險日益成長的認知，進一步推動了市場成長，使 XAI 認證成為該地區永續、負責任和創新驅動的人工智慧應用的關鍵主導。

複合年成長率最高的地區：

預計北美地區在預測期內的複合年成長率最高。這得歸功於日益成長的監管要求和倫理擔憂，而經過認證的框架則鼓勵各組織建立透明且課責的模型。這將提升人們對人工智慧系統的信任，尤其是在醫療保健、金融和公共服務領域。美國在多模態可解釋性工具和模型自省技術方面處於領先地位，旨在促進合規性並提升勞動力的準備。隨著人工智慧日益複雜，經過認證的可解釋性能夠確保結果公平且可解釋，從而以信任和清晰度加速數位轉型。

免費客製化服務

此報告的訂閱者將獲得以下免費自訂選項之一：

  • 公司簡介
    • 對其他市場公司（最多 3 家公司）進行全面分析
    • 主要企業的SWOT分析（最多3家公司）
  • 區域細分
    • 根據客戶興趣對主要國家進行的市場估計、預測和複合年成長率（註：基於可行性檢查）
  • 競爭基準化分析
    • 根據產品系列、地理分佈和策略聯盟對主要企業基準化分析

目錄

第1章執行摘要

第2章 前言

  • 概述
  • 相關利益者
  • 調查範圍
  • 調查方法
    • 資料探勘
    • 數據分析
    • 數據檢驗
    • 研究途徑
  • 研究材料
    • 主要研究資料
    • 次級研究資訊來源
    • 先決條件

第3章市場走勢分析

  • 驅動程式
  • 抑制因素
  • 機會
  • 威脅
  • 應用分析
  • 最終用戶分析
  • 新興市場
  • COVID-19的影響

第4章 波特五力分析

  • 供應商的議價能力
  • 買方的議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭對手之間的競爭

5. 全球可解釋人工智慧身分驗證市場（按組件）

  • 平台
  • 服務

6. 全球可解釋人工智慧身份驗證市場（按身份驗證類型）

  • 專業認證
  • 學術認證
  • 企業培訓和認證

7. 全球可解釋人工智慧身分驗證市場（按部署模式）

  • 本地
  • 雲

8. 全球可解釋人工智慧身分驗證市場（按組織規模）

  • 小型企業
  • 主要企業

9. 全球可解釋人工智慧身分驗證市場（按應用）

  • 模型的可解釋性和透明度
  • 資料隱私與合規性
  • 風險管理
  • 檢測偏見和公平
  • 其他

第 10 章。全球可解釋人工智慧身份驗證市場（按最終用戶）

  • 銀行、金融服務和保險（BFSI）
  • 醫療保健和生命科學
  • 資訊科技/通訊
  • 零售與電子商務
  • 政府和國防
  • 製造業
  • 能源與公共產業
  • 其他

第 11 章。按地區分類的全球可解釋人工智慧認證市場

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲國家
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 其他亞太地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲地區

第12章 重大進展

  • 協議、夥伴關係、合作和合資企業
  • 收購與合併
  • 新產品發布
  • 業務擴展
  • 其他關鍵策略

第13章：公司概況

  • 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.