Built to provide research that’s more actionable and strategically valuable, The Business Research Company’s 2026 market reports include market attractiveness analysis, total addressable market sizing, company benchmarking matrices, interactive Excel dashboards, broader supply chain intelligence, emerging startup tracking, and in-depth product insights.
#Explainable AI Market Revenue Growth On Track For A 20.7% CAGR Through 2030#_x000D_
The explainable AI market has experienced substantial expansion in recent years. Its valuation is anticipated to increase from $9.73 billion in 2025 to $11.74 billion in 2026, reflecting a compound annual growth rate (CAGR) of 20.6%. The historical surge can be attributed to several factors, including the increasing integration of AI across enterprises, a growing demand for model transparency, stricter regulatory compliance needs, the necessity to minimize AI-related risks, and the proliferation of data-driven decision-making processes._x000D_
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The explainable AI market size is anticipated to undergo significant growth in the upcoming years. It is projected to increase to $24.96 billion in 2030, achieving a compound annual growth rate (CAGR) of 20.7%. This expansion during the forecast period is driven by several factors, including the integration of xAI with existing AI platforms, its wider adoption across numerous industry verticals, its increasing use in regulatory and auditing processes, the growing prevalence of interactive visualization tools, and a concentrated effort on implementing ethical and fair AI solutions. Prominent trends expected in this period encompass transparent model decision-making, the detection and mitigation of bias, automated compliance reporting, interactive model visualization, and its seamless integration with analytics and business intelligence tools._x000D_
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#Explainable AI Market Demand Drivers: What’s Powering Industry Growth?#_x000D_
The increasing integration of the Internet of Things (IoT) is anticipated to foster the expansion of the explainable AI market. The Internet of Things (IoT) itself denotes a network of physical devices interconnected and fitted with sensors, software, and various technologies, enabling them to collect, exchange data, and communicate over the Internet or other communication networks. Explainable AI (XAI) is utilized in the Internet of Things (IoT) to strengthen end-user confidence in machines, make AI models more intelligible and transparent, and assure clarity, dependability, and effective decision-making within IoT systems. Illustratively, in 2023, a report from the Sweden-based telecommunications company Ericsson stated that total IoT connections amounted to 15.7 billion connections in 2023 and are foreseen to rise by 16% to 38.8 billion connections by 2029. Hence, the increasing embrace of the Internet of Things (IoT) is propelling the explainable AI market’s growth._x000D_
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#Explainable AI Market Segments: Where Is Growth Concentrated?#_x000D_
The explainable AI market covered in this report is segmented – _x000D_
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1) By Software Type: Standalone Software, Integrated Software, Automated Reporting Tools, Interactive Model Visualization_x000D_
2) By Methods: Model-Agnostic Methods, Model-Specific Methods_x000D_
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_x000D_
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Subsegments:_x000D_
1) By Standalone Software: Individual Explainability Tools, Model-Agnostic Explainability Solutions _x000D_
2) By Integrated Software: Embedded Explainability in AI Platforms, Explainability In Data Analytics Tools _x000D_
3) By Automated Reporting Tools: Automated Model Evaluation Reports, Compliance And Auditing Reports _x000D_
4) By Interactive Model Visualization: Dashboard Visualization Tools, Interactive Data Exploration Tools _x000D_
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#Explainable AI Market Innovation Trends: What Developments Are Reshaping The Industry?#_x000D_
Leading firms in the explainable AI market are implementing strategic partnerships to strengthen their offerings and broaden their market presence. Such collaborations are defined as cooperative arrangements between two or more entities, typically businesses, formed to achieve mutually beneficial and long-term objectives. For instance, in July 2023, Fujitsu Limited, a Japan-based information and communications technology company, collaborated with Informa D&B, a Spain-based marketing and information company. The partnership intends to improve decision-making by utilizing Fujitsu’s explainable AI for transparent data processing and analysis. This development addresses the growing need for evolved AI to manage risks, especially in sectors such as financial fraud. XAI offers clarity into decision-making, boosting transparency and trust while mitigating biases._x000D_
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#Explainable AI Market Key Participants And Competitive Landscape#_x000D_
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. _x000D_
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#Explainable AI Market Regional Analysis: Which Geography Leads On Revenue?#_x000D_
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._x000D_
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Wasay has over a decade of experience in market research, data modelling, and analytics, with prior experience at GlobalData and Decision Tree Consulting Services. At The Business Research Company , he leads research operations across syndicated studies, customized consulting engagements, and the Global Market Model platform. His professional experience includes supporting organizations such as Boston Consulting Group, KPMG, and Ernst & Young. Wasay holds a degree in Electronics and Communications Engineering, postgraduate management qualifications from International Management Institute Belgium and Indian School of Business and Entrepreneurship, and completed the Integrated Program in Business Analytics from Indian Institute of Management Indore.
