Artificial Intelligence (AI)-Driven Expense Report Automation Market Report 2026

The artificial intelligence (ai)-driven expense report automation market size has grown rapidly in recent years. It will grow from $2.82 billion in 2025 to $3.22 billion in 2026 at a compound annual growth rate (CAGR) of 14.2%. The growth in the historic period can be attributed to increasing corporate travel and expense volumes, rising need to reduce manual accounting workloads, expansion of digital finance operations, growing focus on spend visibility, increased use of cloud-based financial software.

The artificial intelligence (ai)-driven expense report automation market size is expected to see rapid growth in the next few years. It will grow to $5.44 billion in 2030 at a compound annual growth rate (CAGR) of 14%. The growth in the forecast period can be attributed to increasing adoption of ai-driven finance automation, rising focus on expense fraud prevention, expansion of remote workforce expense management, growing demand for real-time financial insights, increasing regulatory compliance requirements. Major trends in the forecast period include increasing adoption of ai-based receipt recognition tools, rising use of automated policy compliance checks, growing deployment of cloud-based expense platforms, expansion of real-time fraud detection capabilities, enhanced integration with erp and accounting systems.

The growth of digital infrastructure is anticipated to accelerate the expansion of the AI-driven expense report automation market in the coming years. Digital infrastructure encompasses information and communication technologies (ICT) that enable data connectivity, cloud computing, and the delivery of digital services across organizations, playing a vital role in supporting efficient, scalable, and intelligent business processes. This expansion is supported by advancements in ICT capabilities, increasing enterprise adoption of cloud-based solutions, and rising investments in modern digital technologies that improve operational efficiency. Digital infrastructure supports AI-driven expense report automation by offering scalable cloud environments, secure data connectivity, and real-time processing functions needed to accurately capture, analyze, and verify expense information. For example, in May 2024, according to the Organisation for Economic Co-operation and Development (OECD), a Paris-based intergovernmental organization focused on economic policy collaboration, the ICT sector recorded 7.6% growth in 2023, as reported in the Digital Economy Outlook 2024. As a result, the expansion of digital infrastructure is contributing to the growth of the AI-driven expense report automation market.

Companies in the AI-driven expense report automation sector are increasingly introducing AI-powered mobile applications to improve enterprise expense management. These applications automate expense tracking, submission, and approval processes while ensuring compliance and delivering actionable financial insights. In April 2024, Emburse, Inc., a US-based software company, launched a mobile app that leverages AI to simplify expense reporting for employees and managers. The app automatically captures receipts, fills in expense details, and handles multiple languages, currencies, and handwritten values, reducing the need for manual input. It offers a personalized dashboard for fast expense submission, supports full and partial approvals, and integrates with travel and invoice management systems.

In January 2025, Paychex Inc., a US-based human capital management company, acquired Paycor HCM, Inc. for $4.1 billion. The acquisition aims to enhance Paychex’s AI-driven HR and expense automation capabilities, strengthen its position in the upmarket segment, expand market reach, and unlock new revenue streams. Paycor HCM, Inc. provides payroll and human capital management solutions, including AI-driven expense report automation tools.

Major companies operating in the artificial intelligence (ai)-driven expense report automation market are International Business Machines Corporation, Oracle Corporation, SAP SE, Workday Inc., Infor Inc., The Sage Group plc, Concur Technologies Inc., Bill Holdings Inc., Xero Limited, Coupa Software Inc., Basware Corporation, Emburse Inc., Tipalti Inc., Tradeshift Holdings Inc., Expensify Inc., AppZen Inc., Globality Inc., Spendesk SAS, SutiSoft Inc., Oversight Systems Inc.

North America was the largest region in the artificial intelligence (AI)-driven expense report automation market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence (ai)-driven expense report automation market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the artificial intelligence (ai)-driven expense report automation market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The artificial intelligence (AI)-driven expense report automation market consists of revenues earned by entities by providing services such as data migration, ongoing AI model training and updates, policy customization, and cross-border tax and compliance advisory services. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence (AI)-driven expense report automation market also includes sales of mobile expense tracking apps, corporate card transaction integration tools, chatbot assistants, automated currency conversion modules, and application programming interface connectors. 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.

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