Explainable AI Global Market Report 2026

Explainable Artificial Intelligence (XAI) is an artificial intelligence system strategically designed to offer clear and comprehensible explanations of its decisions or outputs. Its purpose extends to describing an AI model, delineating its anticipated impact, disclosing potential biases, and aiding in the characterization of model accuracy, fairness, transparency, and outcomes within AI-powered decision-making processes.

The primary types of software within explainable AI encompass standalone software, integrated software, automated reporting tools, and interactive model visualization. Standalone software denotes a computer program capable of running as a separate process without dependency on other software or services. This includes various methods such as model-agnostic methods and model-specific methods. End-users benefiting from explainable AI span diverse sectors, including banking, financial services, and insurance (BFSI), retail and e-commerce, information technology/information technology-enabled services, healthcare and life sciences, government and public sector, media and entertainment, manufacturing, energy and utilities, telecommunications, and other verticals.

Tariffs have affected the explainable AI market by increasing the cost of importing advanced software tools, integrated AI platforms, and visualization solutions from major global technology providers. Software segments including standalone explainability tools, integrated AI platforms, and automated reporting tools are most impacted, particularly in North America, Europe, and Asia-Pacific regions with high AI adoption. While tariffs have raised operational costs for enterprises, they have also driven domestic software innovation, encouraged regional development of AI explainability solutions, and supported local providers in creating cost-efficient alternatives.

The explainable AI market research report is one of a series of new reports from The Business Research Company that provides explainable AI market statistics, including explainable AI industry global market size, regional shares, competitors with a explainable AI market share, detailed explainable AI market segments, market trends and opportunities, and any further data you may need to thrive in the explainable AI industry. This explainable AI market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The explainable AI market size has grown exponentially in recent years. It will grow from $9.73 billion in 2025 to $11.74 billion in 2026 at a compound annual growth rate (CAGR) of 20.6%. The growth in the historic period can be attributed to increasing adoption of AI in enterprises, demand for model transparency, rising regulatory compliance requirements, need to reduce ai-related risks, growth of data-driven decision making.

The explainable AI market size is expected to see exponential growth in the next few years. It will grow to $24.96 billion in 2030 at a compound annual growth rate (CAGR) of 20.7%. The growth in the forecast period can be attributed to integration of xAI with AI platforms, expansion across multiple industry verticals, adoption in regulatory and auditing processes, increasing use of interactive visualization tools, focus on ethical and fair AI implementations. Major trends in the forecast period include transparent model decision-making, bias detection and mitigation, automated compliance reporting, interactive model visualization, integration with analytics and bi tools.

The anticipated increase in the adoption of the Internet of Things (IoT) is poised to drive the growth The growing adoption of the Internet of Things (IoT) is expected to significantly drive the growth of the explainable AI (XAI) market. IoT refers to a network of interconnected physical devices equipped with sensors, software, and technologies that enable them to collect and exchange data. As IoT systems become more widespread, the need for explainable AI to interpret and provide transparency in AI-driven decision-making becomes crucial. XAI helps users understand how AI models make decisions, fostering trust and improving the reliability of IoT systems. For example, in 2023, Ericsson reported that the total number of IoT connections reached 15.7 billion, with projections indicating a 16% increase to 38.8 billion connections by 2029. This surge in IoT adoption is driving demand for explainable AI solutions to ensure transparency, trustworthiness, and more effective decision-making in IoT ecosystems. Therefore, the increasing adoption of IoT is fueling the growth of the explainable AI market.

Prominent entities in the explainable AI market are strategically embracing partnership approaches to fortify their offerings and extend their market presence. A strategic partnership denotes a collaborative arrangement between two or more entities, typically businesses, aimed at achieving mutually beneficial and enduring objectives. As an example, in July 2023, Fujitsu Limited, a Japan-based information and communications technology company, forged a partnership with Informa D&B, a Spain-based marketing and information company. The collaboration seeks to enhance decision-making by leveraging Fujitsu's explainable AI to transparently process and analyze data. This strategic move addresses the imperative need for advanced AI solutions to mitigate risks, particularly in areas such as financial fraud. XAI contributes insights into decision-making, fostering transparency and trust while minimizing biases.

In March 2024, Apple Inc., a US-based technology company, acquired DarwinAI for an undisclosed amount. This acquisition enables Apple to enhance its capabilities in machine learning and deep learning applications by leveraging DarwinAI's advanced artificial intelligence technology. DarwinAI, a Canada-based AI startup, specializes in providing an end-to-end solution designed to improve product quality and boost production efficiency, offering Apple valuable tools for optimizing its AI-driven processes and products.

Major companies operating in the explainable AI market are Amazon Web Services; Alphabet Inc.; Microsoft Corporation; Intel Corporation; International Business Machines Corporation; NVIDIA Corporation; Salesforce Inc.; Equifax Inc.; SAS Institute Inc.; Mphasis Limited; Fair Isaac Corporation; Databricks Inc.; Alteryx Inc.; Temenos Headquarters SA; C3.AI Inc.; Data Robot Inc.; Tredence Analytics Solutions Pvt. Ltd.; ArthurAI Inc.; DarwinAI Corp.; H2O.AI Inc.; Fiddler Labs Inc.

North America was the largest region in the Explainable AI market in 2025. The regions covered in the explainable AI market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the explainable AI market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain

The explainable AI market consists of revenues earned by entities by providing services such as interpretable models, local explanations, feature importance analyses, rule-based explanations, model-agnostic approaches, customization, and configuration. The market value includes the value of related goods sold by the service provider or included within the service offering. The explainable AI market also includes sales of high-speed pick-and-place operational tools, controller systems, vision systems, and conveyor systems. Values in this market are 'factory gate' values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Explainable AI Market Global Report 2026 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses explainable AI market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

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Where is the largest and fastest growing market for explainable AI ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The explainable AI market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

• The market characteristics section of the report defines and explains the market. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
• The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
• The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
• The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
• The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
• The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
• The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
• The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
• Market segmentations break down the market into sub markets.
• The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
• Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
• The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
• The company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.

Scope

• Markets Covered:1) By Software Type: Standalone Software; Integrated Software; Automated Reporting Tools; Interactive Model Visualization
• 2) By Methods: Model-Agnostic Methods; Model-Specific Methods
• 3) By Vertical: Banking, Financial Services, And Insurance; Retail And E-Commerce; Information Technology Or Information Technology Enabled Services; Healthcare And Life Sciences; Government And Public Sector; Media And Entertainment; Manufacturing; Energy And Utilities; Telecommunications; Other Verticals
• Subsegments:
• 1) By Standalone Software: Individual Explainability Tools; Model-Agnostic Explainability Solutions
• 2) By Integrated Software: Embedded Explainability in AI Platforms; Explainability In Data Analytics Tools
• 3) By Automated Reporting Tools: Automated Model Evaluation Reports; Compliance And Auditing Reports
• 4) By Interactive Model Visualization: Dashboard Visualization Tools; Interactive Data Exploration Tools
• Companies Mentioned: Amazon Web Services; Alphabet Inc.; Microsoft Corporation; Intel Corporation; International Business Machines Corporation; NVIDIA Corporation; Salesforce Inc.; Equifax Inc.; SAS Institute Inc.; Mphasis Limited; Fair Isaac Corporation; Databricks Inc.; Alteryx Inc.; Temenos Headquarters SA; C3.AI Inc.; Data Robot Inc.; Tredence Analytics Solutions Pvt. Ltd.; ArthurAI Inc.; DarwinAI Corp.; H2O.AI Inc.; Fiddler Labs Inc.
• Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain
• Regions: Asia-Pacific; South East Asia; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
• Time Series: Five years historic and ten years forecast.
• Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
• Data Segmentations: country and regional historic and forecast data, market share of competitors, market segments.
• Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
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