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Generative Artificial Intelligence (AI) In Corporate Tax Management Market Size Forecast: How Big Could The Market Get By 2030?
The generative artificial intelligence (AI) in corporate tax management market has experienced significant expansion in recent years. Projections indicate it will grow from $2.43 billion in 2025 to $3.17 billion in 2026, achieving a compound annual growth rate (CAGR) of 30.6%. Historically, this growth can be attributed to increasing corporate tax complexity, growth in multinational enterprises, expansion of digital transactions, rising compliance costs, and dependence on manual tax processes.
The market for generative artificial intelligence (AI) in corporate tax management is poised for substantial growth in the upcoming years, with projections indicating it will reach $9.18 billion by 2030, exhibiting a compound annual growth rate (CAGR) of 30.5%. This anticipated expansion is fueled by factors such as the increasing adoption of generative AI platforms, a rising demand for real time tax insights, ongoing regulatory digitization initiatives, the necessity for cost optimization, and improved integration with enterprise financial systems. Prominent trends expected during this forecast period include AI driven tax compliance automation, advanced predictive tax liability modeling, continuous real time regulatory change monitoring, enhanced anomaly detection and fraud identification, and the generation of personalized tax strategies.
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Generative Artificial Intelligence (AI) In Corporate Tax Management Market Growth Catalysts And Demand Drivers
Rising corporate investments are anticipated to drive the expansion of generative artificial intelligence (AI) in corporate tax management market in the future. This increase in corporate spending stems from greater confidence in economic rebound and the pursuit of growth avenues fueled by innovation. Generative AI in corporate investment tax management aids by enhancing tax approaches, automating regulatory compliance, and offering data-informed insights for strategic choices, leading to cost reduction and better financial efficiency. For example, in March 2024, the Office for National Statistics, a UK national statistical institute, reported that UK business investment grew by 1.4% in Quarter 4 (October to December) 2023, representing a 2.8% year-on-year rise from the corresponding period of the prior year. For the entirety of 2023, annual business investment in the UK saw a 5.5% increase. Consequently, the expanding corporate investments are fostering the advancement of generative artificial intelligence (AI) in corporate tax management market.
Generative Artificial Intelligence (AI) In Corporate Tax Management Market Segments: Where Is Growth Concentrated?
The generative artificial intelligence (AI) in corporate tax management market covered in this report is segmented –
1) By Component: Services, Software
2) By Deployment Mode: Cloud, On-Premises
3) By Enterprise Size: Large Enterprises, Small And Medium-Sized Enterprises (SMEs)
4) By Application: Tax Compliance, Tax Controversy Management, Tax Planning And Advisory, Tax Reporting, Other Applications
5) By Industry Vertical: Banking, Financial Services, And Insurance (BFSI), Energy And Utilities, Healthcare And Pharmaceuticals, Information technology (IT) And Telecommunications, Manufacturing, Retail And E-Commerce, Other Industry Verticals
Subsegments:
1) By Services: Consulting Services, Implementation Services, Managed Services, Support And Maintenance Services
2) By Software: Tax Compliance Software, Tax Planning Software, Tax Reporting Software, Tax Research Software, Integrated Tax Management Software
Generative Artificial Intelligence (AI) In Corporate Tax Management Market Trends Shaping Long-Term Demand
Major companies within the generative AI in corporate tax management market are concentrating on creating sophisticated solutions, such as artificial intelligence platforms, aiming to improve efficiency, precision, and adherence in tax reporting and planning. An artificial intelligence (AI) platform denotes a system or software utilizing AI technologies to manage diverse tax-related responsibilities. For example, in September 2023, Ernst & Young Global Limited, a UK-based accounting company, introduced EY.ai, a fresh unifying platform designed to assist organizations in confidently embracing artificial intelligence (AI). This platform provides distinct capabilities, including an updated payroll care system employing ChatGPT for effective management of intricate payroll questions, a business intelligence platform offering a holistic perspective on growth and risk through generative AI, and a robust large language model supporting applications ranging from conversational AI to product innovation.
Generative Artificial Intelligence (AI) In Corporate Tax Management Market Key Participants And Competitive Landscape
Major companies operating in the generative artificial intelligence (AI) in corporate tax management market are Amazon Web Services Inc., Deloitte Touche Tohmatsu Limited, PricewaterhouseCoopers, Ernst & Young Global Limited, KPMG International Limited, SAP SE, Capgemini SE, BDO Global, Intuit Inc., RSM International, Thomson Reuters Corporation, Wolters Kluwer N.V., Baker Tilly International, Alvarez & Marsal Holdings LLC, Alteryx Inc., Avalara Inc., EisnerAmper LLP, Wipfli LLP, Marcum LLP, Vertex Inc., ClearTax Private Limited
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Generative Artificial Intelligence (AI) In Corporate Tax Management Market Regional Split: Which Areas Are Fueling Growth?
North America was the largest region in the generative artificial intelligence (AI) in corporate tax management market in 2025. The regions covered in the generative artificial intelligence (AI) in corporate tax management market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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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.
