세계의 설명 가능한 AI 시장 : 규모, 점유율, 동향 분석(전개방식별, 컴포넌트별, 용도별, 최종 용도별, 지역별), 전망, 예측

The Global Explainable AI Market size is expected to reach $22.20 billion by 2032, rising at a market growth of 20.4% CAGR during the forecast period.

The IT & telecommunication sector leads the explainable AI market due to its early and extensive adoption of advanced AI technologies for network optimization, cybersecurity, customer service, and fraud detection. The industry's complex data environments require AI models whose decisions can be interpreted and trusted by engineers, clients, and regulators alike. Explainable AI helps these organizations troubleshoot issues, ensure fair decision-making in automated systems, and meet regulatory standards for transparency. The sector's commitment to digital transformation and data-driven decision-making continues to drive robust demand for explainable AI solutions. Thus, the IT & telecommunication segment procured 21% revenue share in the market in 2024.

The major strategies followed by the market participants are Partnerships as the key developmental strategy to keep pace with the changing demands of end users. For instance, In May, 2025, IBM Corporation teamed up with AWS, a cloud computing company to deliver agentic AI capabilities, integrating IBM's watsonx Orchestrate with Amazon Q index for enhanced AI decision-making. They offer pre-built domain agents, AI governance tools, and software on AWS Marketplace, enabling scalable, trustworthy, and explainable AI to transform enterprise automation and workflows. Additionally, In May, 2025, SAS Institute Inc. announced the partnership with Microsoft, an IT company to launch AI-driven decision-making tools like SAS Decision Builder and Viya Copilot. These tools integrate AI models within Microsoft Fabric and Azure, enhancing enterprise analytics with transparency, control, and human oversight, while exploring quantum AI's future potential in complex simulations.

Based on the Analysis presented in the KBV Cardinal matrix; Google LLC, Microsoft Corporation, NVIDIA Corporation, and Amazon Web Services, Inc. are the forerunners in the Explainable AI Market. Companies such as Salesforce, Inc., IBM Corporation, and SAP SE are some of the key innovators in Explainable AI Market. In May, 2025, Microsoft Corporation announced the partnership with Accenture, an IT company to deploy Azure AI Foundry, enabling scalable, explainable, and secure generative AI solutions. With over 75 use cases across industries and 16 in production, the platform reduced development time by 50%, boosted efficiency, ensured compliance, and strengthened responsible AI through observability, red teaming, and content safety.

COVID 19 Impact Analysis

During the initial phase of the COVID-19 pandemic, the explainable AI (XAI) market experienced significant setbacks. Many organizations across industries prioritized operational continuity and business survival over innovation and digital transformation. As a result, the adoption of advanced AI solutions, including XAI, slowed considerably. Budget constraints and economic uncertainties forced companies to delay or cancel projects related to AI explainability, as investments were redirected toward more immediate concerns, such as enabling remote work and maintaining core operations. Overall, the COVID-19 crisis resulted in a negative, albeit temporary, impact on the explainable AI market, delaying its anticipated growth trajectory. Thus, the COVID-19 pandemic had negative impact on the market.

Market Growth Factors

One of the most significant drivers propelling the Explainable AI (XAI) market is the increasing global focus on regulatory compliance and transparency requirements across industries. As artificial intelligence systems are being embedded deeper into decision-making processes in sectors such as finance, healthcare, insurance, and the public sector, there is mounting pressure from regulators to ensure these decisions are both fair and understandable. In conclusion, stricter regulations and growing demands for transparency are accelerating Explainable AI adoption, making compliance a key driver in the market.

Additionally, trust is a cornerstone of technological adoption, and in the context of artificial intelligence, it is both vital and elusive. The third major driver for the Explainable AI market is the critical need to build and maintain user trust in AI-powered systems. As AI technologies increasingly influence decisions in everyday life-from loan approvals and medical diagnoses to legal recommendations and personalized marketing-the demand for transparency and understandable reasoning is growing among end-users. Black-box AI models, while powerful, often fail to gain user confidence because stakeholders cannot easily interpret how conclusions are reached or assess their reliability. In conclusion, building trust through explainability is emerging as a critical enabler of AI adoption, empowering users, organizations, and markets to harness the full potential of artificial intelligence with confidence, clarity, and peace of mind.

Market Restraining Factors

However, A fundamental restraint on the widespread adoption of Explainable AI is the persistent trade-off between model explainability and predictive accuracy, particularly in complex, real-world applications. The most accurate AI models today-especially deep learning architectures such as neural networks, ensemble methods like random forests, and advanced gradient boosting algorithms-are often referred to as "black box" models. Their internal workings are highly complex, featuring layers upon layers of parameters and nonlinear transformations that are exceedingly difficult for humans to interpret. While these models typically achieve state-of-the-art performance on tasks ranging from image recognition and natural language processing to fraud detection, their opacity means the rationale behind any specific prediction is largely inscrutable to the end-user. In conclusion, the trade-off between explainability and model accuracy limits where explainable AI can be used, forcing organizations to choose between transparency and optimal performance.

Value Chain Analysis

The Explainable AI (XAI) Market value chain begins with Research & Development (R&D), which focuses on model transparency, fairness, and interpretability. This flows into Technology Development and Integration, where explainability tools and AI algorithms are embedded into systems. Data Acquisition and Management ensures high-quality, unbiased datasets that fuel XAI models. In Productization and Service Development, these technologies are turned into deployable, user-friendly solutions. Sales, Marketing, and Distribution drive adoption, while Regulatory Compliance and Ethics ensure trust, privacy, and fairness. Continuous Customer Support and Feedback feeds back into R&D, fostering iterative innovation.

Market Share Analysis

Deployment Outlook

Based on deployment, the market is characterized into cloud and on-premise. The cloud segment garnered 63% revenue share in the market in 2024. Cloud-based explainable AI solutions offer unparalleled scalability and flexibility, enabling organizations to deploy and manage AI models without the need for extensive on-premise infrastructure. This is especially beneficial for businesses with fluctuating computational requirements, as cloud platforms allow for rapid provisioning of resources based on demand.

Component Outlook

On the basis of component, the market is classified into solution and services. The services segment recorded 19% revenue share in the market in 2024. It plays a vital supporting role in the XAI market. Services include consulting, implementation, integration, maintenance, and training. The demand for these services is being driven by organizations that require expert guidance to select, customize, and optimize XAI solutions for their specific needs. Many enterprises lack in-house expertise in AI explainability, making professional services essential for successful adoption and ongoing management.

Application Outlook

By application, the market is divided into fraud & anomaly detection, drug discovery & diagnostics, predictive maintenance, supply chain management, identity access management & others. The identity access management & others segment held 22% revenue share in the market in 2024. This encompasses a broad range of applications, including cybersecurity, human resources, and regulatory compliance. In IAM, explainable AI helps organizations monitor user behaviors, detect unusual access patterns, and justify access decisions-crucial for maintaining robust security postures and meeting compliance requirements.

End Use Outlook

Based on end-use, the market is segmented into IT & telecommunication, healthcare, BFSI, aerospace & defense, retail & e-commerce, public sector & utilities, automotive, and others. The BFSI segment attained 15% revenue share in the market in 2024. The BFSI segment relies heavily on explainable AI to address regulatory compliance, fraud detection, credit scoring, and risk assessment. Financial institutions face stringent requirements to demonstrate how decisions are made-especially when denying loans, flagging transactions, or making investment recommendations. Explainable AI ensures transparency, reduces bias, and builds trust with both customers and regulators. As digital banking and fintech adoption accelerates, so does the need for AI models that can clearly justify their actions and predictions.

Regional Outlook

Region-wise, the market is analyzed across North America, Europe, Asia Pacific, and LAMEA. The North America segment recorded the largest revenue share in the market in 2024. North America dominates the explainable AI market owing to its early adoption of advanced AI technologies, robust investment climate, and a highly developed digital infrastructure. The region is home to many leading technology firms, research institutions, and AI startups, especially in the United States and Canada.

Recent Strategies Deployed in the Market

• Mar-2025: IBM Corporation unveiled Granite 3.2, an advanced, efficient large language model with enhanced reasoning and vision-language capabilities. It offers cost-effective AI for enterprises, matching larger models in performance. Features include chain of thought reasoning, verbalized confidence for safety, and customization via IBM's Docling toolkit, supporting document-heavy workflows.
• May-2025: Microsoft Corporation announced the partnership with Accenture, an IT company to deploy Azure AI Foundry, enabling scalable, explainable, and secure generative AI solutions. With over 75 use cases across industries and 16 in production, the platform reduced development time by 50%, boosted efficiency, ensured compliance, and strengthened responsible AI through observability, red teaming, and content safety.
• May-2025: Microsoft Corporation unveiled AI agent orchestrator, streamlines cancer care by coordinating multimodal healthcare data and workflows like tumor boards. It enhances clinical decisions, integrates with tools like Teams, and offers explainability in AI outputs. Leading medical institutions are exploring its impact on oncology and complex care.
• May-2025: IBM Corporation teamed up with AWS, a cloud computig company to deliver agentic AI capabilities, integrating IBM's watsonx Orchestrate with Amazon Q index for enhanced AI decision-making. They offer pre-built domain agents, AI governance tools, and software on AWS Marketplace, enabling scalable, trustworthy, and explainable AI to transform enterprise automation and workflows.
• May-2025: SAS Institute Inc. announced a partnership with Microsoft, an IT company to launch AI-driven decision-making tools like SAS Decision Builder and Viya Copilot. These tools integrate AI models within Microsoft Fabric and Azure, enhancing enterprise analytics with transparency, control, and human oversight, while exploring quantum AI's future potential in complex simulations.
• Apr-2025: Databricks, Inc. teamed up with Kinaxis, a software company to enhance AI-powered supply chain orchestration. Combining Kinaxis Maestro(TM) with Databricks' platform enables unified data, faster insights, and scalable AI. This collaboration improves supply chain agility, transparency, and decision-making, helping businesses respond swiftly to disruptions with explainable, traceable AI.
• Feb-2025: Google LLC teamed up with Salesforce, a software company by integrating Google's Gemini AI models into Salesforce's Agentforce platform. This collaboration enhances AI flexibility, trust, and innovation, enabling multimodal capabilities, faster responses, and seamless integration across systems, empowering businesses with advanced automation and improved customer interactions.

List of Key Companies Profiled

• Microsoft Corporation
• IBM Corporation
• Google LLC (Alphabet Inc.)
• Salesforce, Inc.
• Intel Corporation
• NVIDIA Corporation
• SAS Institute Inc.
• Databricks, Inc.
• Amazon Web Services, Inc.
• SAP SE

Global Explainable AI Market Report Segmentation

By Deployment

• Cloud
• On-premise

By Component

• Solution
• Services

By Application

• Fraud & Anomaly Detection
• Drug Discovery & Diagnostics
• Predictive Maintenance
• Supply Chain Management
• Identity, Access Management & Others

By End-Use

• IT & Telecommunication
• Healthcare
• BFSI
• Aerospace & Defense
• Retail & E-commerce
• Public Sector & Utilities
• Automotive
• Other End-use

By Geography

• North America
  • US
  • Canada
  • Mexico
  • Rest of North America
• Europe
  • Germany
  • UK
  • France
  • Russia
  • Spain
  • Italy
  • Rest of Europe
• Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Singapore
  • Malaysia
  • Rest of Asia Pacific
• LAMEA
  • Brazil
  • Argentina
  • UAE
  • Saudi Arabia
  • South Africa
  • Nigeria
• Rest of LAMEA

Table of Contents

Chapter 1. Market Scope & Methodology

• 1.1 Market Definition
• 1.2 Objectives
• 1.3 Market Scope
• 1.4 Segmentation
  • 1.4.1 Global Explainable AI Market, by Deployment
  • 1.4.2 Global Explainable AI Market, by Component
  • 1.4.3 Global Explainable AI Market, by Application
  • 1.4.4 Global Explainable AI Market, by End-Use
  • 1.4.5 Global Explainable AI Market, by Geography
• 1.5 Methodology for the research

Chapter 2. Market at a Glance

• 2.1 Key Highlights

Chapter 3. Market Overview

• 3.1 Introduction
  • 3.1.1 Overview
    • 3.1.1.1 Market Composition and Scenario
• 3.2 Key Factors Impacting the Market
  • 3.2.1 Market Drivers
  • 3.2.2 Market Restraints
  • 3.2.3 Market Opportunities
  • 3.2.4 Market Challenges

Chapter 4. Competition Analysis - Global

• 4.1 KBV Cardinal Matrix
• 4.2 Recent Industry Wide Strategic Developments
  • 4.2.1 Partnerships, Collaborations and Agreements
  • 4.2.2 Product Launches and Product Expansions
  • 4.2.3 Acquisition and Mergers
• 4.3 Market Share Analysis, 2024
• 4.4 Top Winning Strategies
  • 4.4.1 Key Leading Strategies: Percentage Distribution (2021-2025)
  • 4.4.2 Key Strategic Move: (Partnerships, Collaborations & Agreements: 2022, Dec - 2025, May) Leading Players
• 4.5 Porter Five Forces Analysis

Chapter 5. Value Chain Analysis of Explainable AI Market

• 5.1 Research and Development (R&D)
• 5.2 Technology Development and Integration
• 5.3 Data Acquisition and Management
• 5.4 Productization and Service Development
• 5.5 Regulatory Compliance and Ethics
• 5.6 Sales, Marketing, and Distribution
• 5.7 Customer Support and Feedback

Chapter 6. Key Costumer Criteria - Explainable AI Market

Chapter 7. Global Explainable AI Market by Deployment

• 7.1 Global Cloud Market by Region
• 7.2 Global On-premise Market by Region

Chapter 8. Global Explainable AI Market by Component

• 8.1 Global Solution Market by Region
• 8.2 Global Services Market by Region

Chapter 9. Global Explainable AI Market by Application

• 9.1 Global Fraud & Anomaly Detection Market by Region
• 9.2 Global Drug Discovery & Diagnostics Market by Region
• 9.3 Global Predictive Maintenance Market by Region
• 9.4 Global Supply Chain Management Market by Region
• 9.5 Global Identity, Access Management & Others Market by Region

Chapter 10. Global Explainable AI Market by End-use

• 10.1 Global IT & Telecommunication Market by Region
• 10.2 Global Healthcare Market by Region
• 10.3 Global BFSI Market by Region
• 10.4 Global Aerospace & Defense Market by Region
• 10.5 Global Retail & E-commerce Market by Region
• 10.6 Global Public Sector & Utilities Market by Region
• 10.7 Global Automotive Market by Region
• 10.8 Global Other End-use Market by Region

Chapter 11. Global Explainable AI Market by Region

• 11.1 North America Explainable AI Market
  • 11.1.1 North America Explainable AI Market by Deployment
    • 11.1.1.1 North America Cloud Market by Region
    • 11.1.1.2 North America On-premise Market by Region
  • 11.1.2 North America Explainable AI Market by Component
    • 11.1.2.1 North America Solution Market by Country
    • 11.1.2.2 North America Services Market by Country
  • 11.1.3 North America Explainable AI Market by Application
    • 11.1.3.1 North America Fraud & Anomaly Detection Market by Country
    • 11.1.3.2 North America Drug Discovery & Diagnostics Market by Country
    • 11.1.3.3 North America Predictive Maintenance Market by Country
    • 11.1.3.4 North America Supply Chain Management Market by Country
    • 11.1.3.5 North America Identity, Access Management & Others Market by Country
  • 11.1.4 North America Explainable AI Market by End-use
    • 11.1.4.1 North America IT & Telecommunication Market by Country
    • 11.1.4.2 North America Healthcare Market by Country
    • 11.1.4.3 North America BFSI Market by Country
    • 11.1.4.4 North America Aerospace & Defense Market by Country
    • 11.1.4.5 North America Retail & E-commerce Market by Country
    • 11.1.4.6 North America Public Sector & Utilities Market by Country
    • 11.1.4.7 North America Automotive Market by Country
    • 11.1.4.8 North America Other End-use Market by Country
  • 11.1.5 North America Explainable AI Market by Country
    • 11.1.5.1 US Explainable AI Market
      • 11.1.5.1.1 US Explainable AI Market by Deployment
      • 11.1.5.1.2 US Explainable AI Market by Component
      • 11.1.5.1.3 US Explainable AI Market by Application
      • 11.1.5.1.4 US Explainable AI Market by End-use
    • 11.1.5.2 Canada Explainable AI Market
      • 11.1.5.2.1 Canada Explainable AI Market by Deployment
      • 11.1.5.2.2 Canada Explainable AI Market by Component
      • 11.1.5.2.3 Canada Explainable AI Market by Application
      • 11.1.5.2.4 Canada Explainable AI Market by End-use
    • 11.1.5.3 Mexico Explainable AI Market
      • 11.1.5.3.1 Mexico Explainable AI Market by Deployment
      • 11.1.5.3.2 Mexico Explainable AI Market by Component
      • 11.1.5.3.3 Mexico Explainable AI Market by Application
      • 11.1.5.3.4 Mexico Explainable AI Market by End-use
    • 11.1.5.4 Rest of North America Explainable AI Market
      • 11.1.5.4.1 Rest of North America Explainable AI Market by Deployment
      • 11.1.5.4.2 Rest of North America Explainable AI Market by Component
      • 11.1.5.4.3 Rest of North America Explainable AI Market by Application
      • 11.1.5.4.4 Rest of North America Explainable AI Market by End-use
• 11.2 Europe Explainable AI Market
  • 11.2.1 Europe Explainable AI Market by Deployment
    • 11.2.1.1 Europe Cloud Market by Country
    • 11.2.1.2 Europe On-premise Market by Country
  • 11.2.2 Europe Explainable AI Market by Component
    • 11.2.2.1 Europe Solution Market by Country
    • 11.2.2.2 Europe Services Market by Country
  • 11.2.3 Europe Explainable AI Market by Application
    • 11.2.3.1 Europe Fraud & Anomaly Detection Market by Country
    • 11.2.3.2 Europe Drug Discovery & Diagnostics Market by Country
    • 11.2.3.3 Europe Predictive Maintenance Market by Country
    • 11.2.3.4 Europe Supply Chain Management Market by Country
    • 11.2.3.5 Europe Identity, Access Management & Others Market by Country
  • 11.2.4 Europe Explainable AI Market by End-use
    • 11.2.4.1 Europe IT & Telecommunication Market by Country
    • 11.2.4.2 Europe Healthcare Market by Country
    • 11.2.4.3 Europe BFSI Market by Country
    • 11.2.4.4 Europe Aerospace & Defense Market by Country
    • 11.2.4.5 Europe Retail & E-commerce Market by Country
    • 11.2.4.6 Europe Public Sector & Utilities Market by Country
    • 11.2.4.7 Europe Automotive Market by Country
    • 11.2.4.8 Europe Other End-use Market by Country
  • 11.2.5 Europe Explainable AI Market by Country
    • 11.2.5.1 Germany Explainable AI Market
      • 11.2.5.1.1 Germany Explainable AI Market by Deployment
      • 11.2.5.1.2 Germany Explainable AI Market by Component
      • 11.2.5.1.3 Germany Explainable AI Market by Application
      • 11.2.5.1.4 Germany Explainable AI Market by End-use
    • 11.2.5.2 UK Explainable AI Market
      • 11.2.5.2.1 UK Explainable AI Market by Deployment
      • 11.2.5.2.2 UK Explainable AI Market by Component
      • 11.2.5.2.3 UK Explainable AI Market by Application
      • 11.2.5.2.4 UK Explainable AI Market by End-use
    • 11.2.5.3 France Explainable AI Market
      • 11.2.5.3.1 France Explainable AI Market by Deployment
      • 11.2.5.3.2 France Explainable AI Market by Component
      • 11.2.5.3.3 France Explainable AI Market by Application
      • 11.2.5.3.4 France Explainable AI Market by End-use
    • 11.2.5.4 Russia Explainable AI Market
      • 11.2.5.4.1 Russia Explainable AI Market by Deployment
      • 11.2.5.4.2 Russia Explainable AI Market by Component
      • 11.2.5.4.3 Russia Explainable AI Market by Application
      • 11.2.5.4.4 Russia Explainable AI Market by End-use
    • 11.2.5.5 Spain Explainable AI Market
      • 11.2.5.5.1 Spain Explainable AI Market by Deployment
      • 11.2.5.5.2 Spain Explainable AI Market by Component
      • 11.2.5.5.3 Spain Explainable AI Market by Application
      • 11.2.5.5.4 Spain Explainable AI Market by End-use
    • 11.2.5.6 Italy Explainable AI Market
      • 11.2.5.6.1 Italy Explainable AI Market by Deployment
      • 11.2.5.6.2 Italy Explainable AI Market by Component
      • 11.2.5.6.3 Italy Explainable AI Market by Application
      • 11.2.5.6.4 Italy Explainable AI Market by End-use
    • 11.2.5.7 Rest of Europe Explainable AI Market
      • 11.2.5.7.1 Rest of Europe Explainable AI Market by Deployment
      • 11.2.5.7.2 Rest of Europe Explainable AI Market by Component
      • 11.2.5.7.3 Rest of Europe Explainable AI Market by Application
      • 11.2.5.7.4 Rest of Europe Explainable AI Market by End-use
• 11.3 Asia Pacific Explainable AI Market
  • 11.3.1 Asia Pacific Explainable AI Market by Deployment
    • 11.3.1.1 Asia Pacific Cloud Market by Country
    • 11.3.1.2 Asia Pacific On-premise Market by Country
  • 11.3.2 Asia Pacific Explainable AI Market by Component
    • 11.3.2.1 Asia Pacific Solution Market by Country
    • 11.3.2.2 Asia Pacific Services Market by Country
  • 11.3.3 Asia Pacific Explainable AI Market by Application
    • 11.3.3.1 Asia Pacific Fraud & Anomaly Detection Market by Country
    • 11.3.3.2 Asia Pacific Drug Discovery & Diagnostics Market by Country
    • 11.3.3.3 Asia Pacific Predictive Maintenance Market by Country
    • 11.3.3.4 Asia Pacific Supply Chain Management Market by Country
    • 11.3.3.5 Asia Pacific Identity, Access Management & Others Market by Country
  • 11.3.4 Asia Pacific Explainable AI Market by End-use
    • 11.3.4.1 Asia Pacific IT & Telecommunication Market by Country
    • 11.3.4.2 Asia Pacific Healthcare Market by Country
    • 11.3.4.3 Asia Pacific BFSI Market by Country
    • 11.3.4.4 Asia Pacific Aerospace & Defense Market by Country
    • 11.3.4.5 Asia Pacific Retail & E-commerce Market by Country
    • 11.3.4.6 Asia Pacific Public Sector & Utilities Market by Country
    • 11.3.4.7 Asia Pacific Automotive Market by Country
    • 11.3.4.8 Asia Pacific Other End-use Market by Country
  • 11.3.5 Asia Pacific Explainable AI Market by Country
    • 11.3.5.1 China Explainable AI Market
      • 11.3.5.1.1 China Explainable AI Market by Deployment
      • 11.3.5.1.2 China Explainable AI Market by Component
      • 11.3.5.1.3 China Explainable AI Market by Application
      • 11.3.5.1.4 China Explainable AI Market by End-use
    • 11.3.5.2 Japan Explainable AI Market
      • 11.3.5.2.1 Japan Explainable AI Market by Deployment
      • 11.3.5.2.2 Japan Explainable AI Market by Component
      • 11.3.5.2.3 Japan Explainable AI Market by Application
      • 11.3.5.2.4 Japan Explainable AI Market by End-use
    • 11.3.5.3 India Explainable AI Market
      • 11.3.5.3.1 India Explainable AI Market by Deployment
      • 11.3.5.3.2 India Explainable AI Market by Component
      • 11.3.5.3.3 India Explainable AI Market by Application
      • 11.3.5.3.4 India Explainable AI Market by End-use
    • 11.3.5.4 South Korea Explainable AI Market
      • 11.3.5.4.1 South Korea Explainable AI Market by Deployment
      • 11.3.5.4.2 South Korea Explainable AI Market by Component
      • 11.3.5.4.3 South Korea Explainable AI Market by Application
      • 11.3.5.4.4 South Korea Explainable AI Market by End-use
    • 11.3.5.5 Singapore Explainable AI Market
      • 11.3.5.5.1 Singapore Explainable AI Market by Deployment
      • 11.3.5.5.2 Singapore Explainable AI Market by Component
      • 11.3.5.5.3 Singapore Explainable AI Market by Application
      • 11.3.5.5.4 Singapore Explainable AI Market by End-use
    • 11.3.5.6 Malaysia Explainable AI Market
      • 11.3.5.6.1 Malaysia Explainable AI Market by Deployment
      • 11.3.5.6.2 Malaysia Explainable AI Market by Component
      • 11.3.5.6.3 Malaysia Explainable AI Market by Application
      • 11.3.5.6.4 Malaysia Explainable AI Market by End-use
    • 11.3.5.7 Rest of Asia Pacific Explainable AI Market
      • 11.3.5.7.1 Rest of Asia Pacific Explainable AI Market by Deployment
      • 11.3.5.7.2 Rest of Asia Pacific Explainable AI Market by Component
      • 11.3.5.7.3 Rest of Asia Pacific Explainable AI Market by Application
      • 11.3.5.7.4 Rest of Asia Pacific Explainable AI Market by End-use
• 11.4 LAMEA Explainable AI Market
  • 11.4.1 LAMEA Explainable AI Market by Deployment
    • 11.4.1.1 LAMEA Cloud Market by Country
    • 11.4.1.2 LAMEA On-premise Market by Country
  • 11.4.2 LAMEA Explainable AI Market by Component
    • 11.4.2.1 LAMEA Solution Market by Country
    • 11.4.2.2 LAMEA Services Market by Country
  • 11.4.3 LAMEA Explainable AI Market by Application
    • 11.4.3.1 LAMEA Fraud & Anomaly Detection Market by Country
    • 11.4.3.2 LAMEA Drug Discovery & Diagnostics Market by Country
    • 11.4.3.3 LAMEA Predictive Maintenance Market by Country
    • 11.4.3.4 LAMEA Supply Chain Management Market by Country
    • 11.4.3.5 LAMEA Identity, Access Management & Others Market by Country
  • 11.4.4 LAMEA Explainable AI Market by End-use
    • 11.4.4.1 LAMEA IT & Telecommunication Market by Country
    • 11.4.4.2 LAMEA Healthcare Market by Country
    • 11.4.4.3 LAMEA BFSI Market by Country
    • 11.4.4.4 LAMEA Aerospace & Defense Market by Country
    • 11.4.4.5 LAMEA Retail & E-commerce Market by Country
    • 11.4.4.6 LAMEA Public Sector & Utilities Market by Country
    • 11.4.4.7 LAMEA Automotive Market by Country
    • 11.4.4.8 LAMEA Other End-use Market by Country
  • 11.4.5 LAMEA Explainable AI Market by Country
    • 11.4.5.1 Brazil Explainable AI Market
      • 11.4.5.1.1 Brazil Explainable AI Market by Deployment
      • 11.4.5.1.2 Brazil Explainable AI Market by Component
      • 11.4.5.1.3 Brazil Explainable AI Market by Application
      • 11.4.5.1.4 Brazil Explainable AI Market by End-use
    • 11.4.5.2 Argentina Explainable AI Market
      • 11.4.5.2.1 Argentina Explainable AI Market by Deployment
      • 11.4.5.2.2 Argentina Explainable AI Market by Component
      • 11.4.5.2.3 Argentina Explainable AI Market by Application
      • 11.4.5.2.4 Argentina Explainable AI Market by End-use
    • 11.4.5.3 UAE Explainable AI Market
      • 11.4.5.3.1 UAE Explainable AI Market by Deployment
      • 11.4.5.3.2 UAE Explainable AI Market by Component
      • 11.4.5.3.3 UAE Explainable AI Market by Application
      • 11.4.5.3.4 UAE Explainable AI Market by End-use
    • 11.4.5.4 Saudi Arabia Explainable AI Market
      • 11.4.5.4.1 Saudi Arabia Explainable AI Market by Deployment
      • 11.4.5.4.2 Saudi Arabia Explainable AI Market by Component
      • 11.4.5.4.3 Saudi Arabia Explainable AI Market by Application
      • 11.4.5.4.4 Saudi Arabia Explainable AI Market by End-use
    • 11.4.5.5 South Africa Explainable AI Market
      • 11.4.5.5.1 South Africa Explainable AI Market by Deployment
      • 11.4.5.5.2 South Africa Explainable AI Market by Component
      • 11.4.5.5.3 South Africa Explainable AI Market by Application
      • 11.4.5.5.4 South Africa Explainable AI Market by End-use
    • 11.4.5.6 Nigeria Explainable AI Market
      • 11.4.5.6.1 Nigeria Explainable AI Market by Deployment
      • 11.4.5.6.2 Nigeria Explainable AI Market by Component
      • 11.4.5.6.3 Nigeria Explainable AI Market by Application
      • 11.4.5.6.4 Nigeria Explainable AI Market by End-use
    • 11.4.5.7 Rest of LAMEA Explainable AI Market
      • 11.4.5.7.1 Rest of LAMEA Explainable AI Market by Deployment
      • 11.4.5.7.2 Rest of LAMEA Explainable AI Market by Component
      • 11.4.5.7.3 Rest of LAMEA Explainable AI Market by Application
      • 11.4.5.7.4 Rest of LAMEA Explainable AI Market by End-use

Chapter 12. Company Profiles

• 12.1 Microsoft Corporation
  • 12.1.1 Company Overview
  • 12.1.2 Financial Analysis
  • 12.1.3 Segmental and Regional Analysis
  • 12.1.4 Research & Development Expenses
  • 12.1.5 Recent strategies and developments:
    • 12.1.5.1 Partnerships, Collaborations, and Agreements:
    • 12.1.5.2 Product Launches and Product Expansions:
  • 12.1.6 SWOT Analysis
• 12.2 IBM Corporation
  • 12.2.1 Company Overview
  • 12.2.2 Financial Analysis
  • 12.2.3 Regional & Segmental Analysis
  • 12.2.4 Research & Development Expenses
  • 12.2.5 Recent strategies and developments:
    • 12.2.5.1 Partnerships, Collaborations, and Agreements:
    • 12.2.5.2 Product Launches and Product Expansions:
    • 12.2.5.3 Acquisition and Mergers:
  • 12.2.6 SWOT Analysis
• 12.3 Google LLC (Alphabet Inc.)
  • 12.3.1 Company Overview
  • 12.3.2 Financial Analysis
  • 12.3.3 Segmental and Regional Analysis
  • 12.3.4 Research & Development Expenses
  • 12.3.5 Recent strategies and developments:
    • 12.3.5.1 Partnerships, Collaborations, and Agreements:
  • 12.3.6 SWOT Analysis
• 12.4 Salesforce, Inc.
  • 12.4.1 Company Overview
  • 12.4.2 Financial Analysis
  • 12.4.3 Regional Analysis
  • 12.4.4 Research & Development Expenses
  • 12.4.5 SWOT Analysis
• 12.5 Intel Corporation
  • 12.5.1 Company Overview
  • 12.5.2 Financial Analysis
  • 12.5.3 Segmental and Regional Analysis
  • 12.5.4 Research & Development Expenses
  • 12.5.5 Recent strategies and developments:
    • 12.5.5.1 Partnerships, Collaborations, and Agreements:
  • 12.5.6 SWOT Analysis
• 12.6 NVIDIA Corporation
  • 12.6.1 Company Overview
  • 12.6.2 Financial Analysis
  • 12.6.3 Segmental and Regional Analysis
  • 12.6.4 Research & Development Expenses
  • 12.6.5 Recent strategies and developments:
    • 12.6.5.1 Partnerships, Collaborations, and Agreements:
  • 12.6.6 SWOT Analysis
• 12.7 SAS Institute, Inc.
  • 12.7.1 Company Overview
  • 12.7.2 Recent strategies and developments:
    • 12.7.2.1 Partnerships, Collaborations, and Agreements:
  • 12.7.3 SWOT Analysis
• 12.8 Databricks, Inc.
  • 12.8.1 Company Overview
  • 12.8.2 Recent strategies and developments:
    • 12.8.2.1 Partnerships, Collaborations, and Agreements:
• 12.9 Amazon Web Services, Inc. (Amazon.com, Inc.)
  • 12.9.1 Company Overview
  • 12.9.2 Financial Analysis
  • 12.9.3 Segmental and Regional Analysis
  • 12.9.4 SWOT Analysis
• 12.10. SAP SE
  • 12.10.1 Company Overview
  • 12.10.2 Financial Analysis
  • 12.10.3 Regional Analysis
  • 12.10.4 Research & Development Expense
  • 12.10.5 Recent strategies and developments:
    • 12.10.5.1 Partnerships, Collaborations, and Agreements:
  • 12.10.6 SWOT Analysis

Chapter 13. Winning Imperatives of Explainable AI Market