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1852240

人工智慧 (AI) 費用報告 自動化全球市場報告 2025

Artificial Intelligence (AI)-Driven Expense Report Automation Global Market Report 2025
出版日期: | 出版商: The Business Research Company | 英文 250 Pages | 商品交期: 2-10個工作天內

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簡介目錄

近年來，利用人工智慧 (AI) 實現費用報告自動化的市場規模迅速擴張，預計將從 2024 年的 24.6 億美元成長到 2025 年的 28.2 億美元，複合年成長率為 14.4%。雲端技術的日益普及、減少費用報告錯誤的需求日益成長、對營運效率的要求日益提高、差旅費用不斷上漲以及合規和審核需求的不斷成長，都是推動這一成長的因素。

預計未來幾年，人工智慧 (AI) 賦能的費用報告自動化市場將快速成長，到 2029 年將達到 47.7 億美元，複合年成長率為 14.1%。預測期內，預計成長將由以下因素推動：人工智慧與財務軟體的日益融合、人們對自動化優勢的認知不斷提升、行動費用報告解決方案的廣泛採用、對更快費用報銷流程的需求不斷成長以及數位支付方式的使用日益增多。預計主要趨勢包括機器學習演算法的進步、即時費用分析的發展、雲端基礎的自動化平台的創新、用於收據掃描的自然語言處理技術的進步以及與企業資源規劃 (ERP) 系統的無縫整合。

人工智慧費用自動化採用先進的人工智慧技術，包括機器學習、自然語言處理和光學字元識別，可自動擷取、提取和處理員工收據、發票和信用卡帳單中的資訊。透過減少手動資料輸入，這種方法可以提高準確性，加快費用報銷速度，檢測違規行為和欺詐性索賠，並為組織提供關於支出模式的可行洞察，從而提升整體財務效率和合規性。

人工智慧費用報銷自動化的關鍵組件包括軟體和服務。軟體包括利用人工智慧簡化費用報告管理的數位平台和工具。這些解決方案可以透過雲端或本地系統部署，適用於從中小型企業到大型企業的各種規模的組織。它們應用於差旅和費用管理、發票管理、合規性監控和詐欺檢測等領域，服務於各種終端用戶，包括銀行、金融機構和保險公司 (BFSI)、醫療保健提供者、IT 和通訊公司、零售商和製造商。

2025 年春季美國關稅的快速上漲以及由此引發的貿易摩擦對金融業產生了重大影響，尤其是對投資策略和風險管理。關稅上漲加劇了市場波動，促使機構投資者採取謹慎行為，並增加了對沖工具的需求。由於關稅擾亂了全球供應鏈，損害了推動股市表現的企業收益，銀行和資產管理公司面臨與跨境交易相關的成本增加。同時，保險公司正在努力應對與供應鏈中斷和貿易相關業務損失相關的索賠風險增加。此外，消費支出減弱和出口需求疲軟正在抑制信貸成長和投資意願。保險業現在必須優先考慮多元化、數位轉型和穩健的情境規劃，以應對日益成長的經濟不確定性並保護盈利。

本研究報告是商業研究公司 (The Business Research Company) 新報告系列的一部分，該系列提供人工智慧 (AI) 驅動的費用報告自動化市場統計數據，包括全球市場規模、各地區佔有率、競爭對手的人工智慧 (AI) 驅動的費用報告自動化市場佔有率、詳細的人工智慧 (AI) 驅動的費用報告自動化細分市場、市場趨勢和商業機會。這份由人工智慧 (AI) 驅動的費用報告自動化市場研究報告對該行業的現狀和未來趨勢進行了詳細分析，為您提供所需的全方位觀點。

預計對雲端基礎的解決方案的需求不斷成長將推動人工智慧 (AI) 驅動的費用報告自動化市場的擴張。雲端處理透過網際網路按需提供儲存、處理能力和應用程式等 IT 資源，使企業無需管理實體基礎設施即可擴展其服務。這種方法使公司能夠根據需求調整 IT 資源，並最大限度地降低硬體相關成本。雲端平台提供人工智慧驅動的費用報告自動化所需的擴充性、安全性和可存取性，從而簡化了資料輸入、核准和即時財務報告等任務。據歐盟統計局稱，到 2023 年，45.2% 的歐盟公司將使用雲端處理服務，比 2021 年增加 4.2 個百分點。

在人工智慧費用報告自動化領域，越來越多的公司正在採用人工智慧行動應用程式來改善企業費用管理。這些應用程式可自動執行費用追蹤、提交和核准流程，同時確保合規性並提供可操作的財務洞察。 2024年4月，美國軟體公司Emburse, Inc.推出了一款行動應用程式，利用人工智慧簡化員工和管理人員的費用報告流程。該應用程式可自動取得收據並輸入費用明細，支援多種語言、貨幣和手寫值，從而減少了手動輸入的核准。它允許透過個人化儀表板快速提交費用，支援全部和部分核准，並可與差旅和發票管理系統整合。

2025年1月，美國人力資本管理公司Paychex Inc.以41億美元收購了Paycor HCM, Inc.。此次收購旨在增強Paychex基於人工智慧的人力資源和費用自動化能力，鞏固其在高階市場的地位，擴大市場覆蓋範圍，並確保新的收益來源。 Paycor HCM, Inc.提供薪資核算和人力資本管理解決方案，包括基於人工智慧的費用報告自動化工具。

人工智慧 (AI) 費用報告自動化市場由提供資料遷移、持續 AI 模型訓練和更新、策略客製化以及跨境稅務和合規諮詢等服務的營業單位所獲得的收入構成。市場價值包括服務供應商銷售或包含在其服務產品中的相關產品的收益。人工智慧 (AI) 費用報告自動化市場還包括行動費用追蹤應用程式、企業卡交易整合工具、聊天機器人助理、自動貨幣轉換模組和應用程式介面 (API) 連接器的銷售。此市場的價值代表「工廠門口」價值，即商品製造商或創造者向其他營業單位（包括下游製造商、批發商、經銷商和零售商）或直接向最終客戶銷售的商品價值。該市場中的商品價值還包括商品創造者銷售的任何相關服務。

目錄

第1章執行摘要

第2章 市場特徵

第3章 市場趨勢與策略

第4章 市場：宏觀經濟情景，包括利率、通膨、地緣政治、貿易戰和關稅，以及新冠疫情和復甦對市場的影響

第5章 全球成長分析與策略分析框架

  • 全球人工智慧 (AI) 費用報告自動化：PESTEL 分析（政治、社會、技術、環境、法律因素、促進因素和限制因素）
  • 最終用途產業分析
  • 全球人工智慧（AI）費用報告自動化市場：成長率分析
  • 全球人工智慧 (AI) 費用報告自動化市場表現：規模與成長，2019-2024 年
  • 全球人工智慧 (AI) 費用報告自動化市場預測：規模與成長，2024-2029 年，2034 年預測
  • 全球人工智慧 (AI) 費用報告自動化：總潛在市場 (TAM)

第6章 市場細分

  • 全球人工智慧 (AI) 費用報告自動化市場：按組件、實際和預測，2019-2024 年、2024-2029 年、2034 年
  • 軟體
  • 服務
  • 全球人工智慧 (AI) 費用報告自動化市場：按部署模式、實際和預測，2019-2024 年、2024-2029 年、2034 年
  • 雲
  • 本地部署
  • 全球人工智慧 (AI) 費用報告自動化市場：按組織規模、實際結果和預測，2019-2024 年、2024-2029 年、2034 年
  • 小型企業
  • 主要企業
  • 全球人工智慧 (AI) 費用報告自動化市場：按應用、實際結果和預測，2019-2024 年、2024-2029 年、2034 年
  • 差旅和費用管理
  • 帳單管理
  • 合規管理
  • 詐欺偵測
  • 其他用途
  • 全球人工智慧 (AI) 費用報告自動化市場：按最終用戶、實際和預測，2019-2024 年、2024-2029 年、2034 年
  • 銀行、金融機構及保險公司（BFSI）
  • 衛生保健
  • 資訊科技和通訊
  • 零售
  • 製造業
  • 其他最終用戶
  • 全球人工智慧 (AI) 費用報告自動化市場：按軟體類型細分，實際及預測，2019-2024 年、2024-2029 年、2034 年
  • 網路為基礎的平台
  • 行動應用程式
  • 雲端基礎的解決方案
  • 本地解決方案
  • 使用人工智慧（AI）的分析工具
  • 整合和應用程式介面解決方案
  • 全球人工智慧 (AI) 費用報告自動化市場：按服務類型、實際和預測細分，2019-2024 年、2024-2029 年、2034 年
  • 實施服務
  • 諮詢服務
  • 培訓和支援服務
  • 託管服務
  • 維護和升級
  • 客製化服務

第7章 區域和國家分析

  • 全球人工智慧 (AI) 費用報告自動化市場：按地區、實際結果和預測，2019-2024 年、2024-2029 年、2034 年
  • 全球人工智慧 (AI) 費用自動化市場：國家、實際結果和預測，2019-2024 年、2024-2029 年、2034 年

第8章 亞太市場

第9章：中國市場

第10章 印度市場

第11章 日本市場

第12章：澳洲市場

第13章 印尼市場

第14章 韓國市場

第15章：西歐市場

第16章英國市場

第17章：德國市場

第18章：法國市場

第19章：義大利市場

第20章：西班牙市場

第21章 東歐市場

第22章：俄羅斯市場

第23章 北美市場

第24章美國市場

第25章：加拿大市場

第26章 南美洲市場

第27章：巴西市場

第28章 中東市場

第29章：非洲市場

第30章：競爭格局與公司概況

  • 人工智慧（AI）費用報告自動化市場：競爭格局
  • 人工智慧（AI）費用報告自動化市場：公司簡介
    • International Business Machines Corporation Overview, Products and Services, Strategy and Financial Analysis
    • Oracle Corporation Overview, Products and Services, Strategy and Financial Analysis
    • SAP SE Overview, Products and Services, Strategy and Financial Analysis
    • Workday Inc. Overview, Products and Services, Strategy and Financial Analysis
    • Infor Inc. Overview, Products and Services, Strategy and Financial Analysis

第31章：其他領先和創新企業

  • 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.

第 32 章全球市場競爭基準化分析與儀表板

第33章 重大併購

第34章近期市場趨勢

第 35 章：高潛力市場國家、細分市場與策略

  • 2029年人工智慧（AI）費用報告自動化市場：提供新機會的國家
  • 2029年人工智慧（AI）費用報告自動化市場：細分領域帶來新機會
  • 2029年人工智慧（AI）費用報告自動化市場：成長策略
    • 基於市場趨勢的策略
    • 競爭對手策略

第36章 附錄

簡介目錄
Product Code: r37946

AI-driven expense report automation involves leveraging advanced artificial intelligence technologies, such as machine learning, natural language processing, and optical character recognition, to automatically capture, extract, and process information from employee receipts, invoices, and credit card statements. By reducing manual data entry, this approach improves accuracy, speeds up reimbursements, detects policy violations or fraudulent claims, and provides organizations with actionable insights into spending patterns, enhancing overall financial efficiency and compliance.

The primary components of AI-driven expense report automation include software and services. The software consists of digital platforms and tools that use AI to streamline expense report management tasks. These solutions can be deployed via cloud or on-premises systems and are suitable for organizations of all sizes, from small and medium enterprises to large corporations. They are applied in areas such as travel and expense management, invoice management, compliance monitoring, and fraud detection, serving diverse end users including banks, financial institutions, and insurers (BFSI), healthcare providers, IT and telecommunications companies, retail, manufacturing, and more.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The rapid escalation of U.S. tariffs and the resulting trade tensions in spring 2025 are significantly impacting the financial sector, particularly in investment strategies and risk management. Heightened tariffs have fueled market volatility, prompting cautious behavior among institutional investors and increasing demand for hedging instruments. Banks and asset managers are facing higher costs associated with cross-border transactions, as tariffs disrupt global supply chains and dampen corporate earnings, key drivers of equity market performance. Insurance companies, meanwhile, are grappling with increased claims risks tied to supply chain disruptions and trade-related business losses. Additionally, reduced consumer spending and weakened export demand are constraining credit growth and investment appetite. The sector must now prioritize diversification, digital transformation, and robust scenario planning to navigate the heightened economic uncertainty and protect profitability.

The artificial intelligence (AI)-driven expense report automation market research report is one of a series of new reports from The Business Research Company that provides artificial intelligence (AI)-driven expense report automation market statistics, including artificial intelligence (AI)-driven expense report automation industry global market size, regional shares, competitors with an artificial intelligence (AI)-driven expense report automation market share, detailed artificial intelligence (AI)-driven expense report automation market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence (AI)-driven expense report automation industry. This artificial intelligence (AI)-driven expense report automation 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 artificial intelligence (AI)-driven expense report automation market size has grown rapidly in recent years. It will grow from $2.46 billion in 2024 to $2.82 billion in 2025 at a compound annual growth rate (CAGR) of 14.4%. The growth observed during the historical period was driven by greater adoption of cloud technologies, a growing need to reduce errors in expense reporting, increasing demand for operational efficiency, rising volumes of business travel expenses, and an enhanced focus on compliance and audit readiness.

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 $4.77 billion in 2029 at a compound annual growth rate (CAGR) of 14.1%. The projected growth during the forecast period is expected to be driven by greater integration of AI with financial software, growing awareness of the benefits of automation, wider adoption of mobile expense reporting solutions, increasing demand for faster reimbursement processes, and rising use of digital payment methods. Key trends anticipated include advancements in machine learning algorithms, development of real-time expense analytics, innovations in cloud-based automation platforms, progress in natural language processing for receipt scanning, and creation of seamless integrations with enterprise resource planning (ERP) systems.

The growing demand for cloud-based solutions is expected to drive the expansion of the artificial intelligence (AI)-driven expense report automation market. Cloud computing delivers IT resources such as storage, processing power, and applications over the internet on demand, enabling businesses to scale services without managing physical infrastructure. This approach allows companies to adjust IT resources according to their needs, minimizing costs associated with hardware. Cloud platforms provide the scalability, security, and accessibility necessary for AI-driven expense report automation, streamlining tasks such as data entry, approvals, and real-time financial reporting. According to Eurostat, in 2023, 45.2% of EU enterprises used cloud computing services, marking a 4.2 percentage point increase from 2021, highlighting the growing adoption of these solutions.

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 players 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 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in artificial intelligence (AI)-driven expense report automation report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.

The countries covered in the artificial intelligence (AI)-driven expense report automation market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, 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.

Artificial Intelligence (AI)-Driven Expense Report Automation Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on artificial intelligence (ai)-driven expense report automation 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 artificial intelligence (ai)-driven expense report automation ? 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 artificial intelligence (ai)-driven expense report automation 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, competitive landscape, market shares, 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.
  • 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 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.

  • 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.
  • 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 trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Scope

  • Markets Covered:1) By Component: Software; Services
  • 2) By Deployment Mode: Cloud; On-Premises
  • 3) By Organization Size: Small And Medium Enterprises; Large Enterprises
  • 4) By Application: Travel And Expense Management; Invoice Management; Compliance Management; Fraud Detection; Other Applications
  • 5) By End-User: Banks, Financial Institutions And Insurers (BFSI); Healthcare; Information Technology And Telecommunications; Retail; Manufacturing; Other End-Users
  • Subsegments:
  • 1) By Software: Web-Based Platforms; Mobile Applications; Cloud-Based Solutions; On-Premise Solutions; Artificial Intelligence (AI)-Powered Analytics Tools; Integration And Application Programming Interface Solutions
  • 2) By Services: Implementation Services; Consulting Services; Training And Support Services; Managed Services; Maintenance And Upgrades; Customization Services
  • Companies Mentioned: 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.
  • Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain.
  • Regions: Asia-Pacific; 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.
  • Delivery Format: PDF, Word and Excel Data Dashboard.

Table of Contents

1. Executive Summary

2. Artificial Intelligence (AI)-Driven Expense Report Automation Market Characteristics

3. Artificial Intelligence (AI)-Driven Expense Report Automation Market Trends And Strategies

4. Artificial Intelligence (AI)-Driven Expense Report Automation Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, And Covid And Recovery On The Market

  • 4.1. Supply Chain Impact from Tariff War & Trade Protectionism

5. Global Artificial Intelligence (AI)-Driven Expense Report Automation Growth Analysis And Strategic Analysis Framework

  • 5.1. Global Artificial Intelligence (AI)-Driven Expense Report Automation PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
  • 5.2. Analysis Of End Use Industries
  • 5.3. Global Artificial Intelligence (AI)-Driven Expense Report Automation Market Growth Rate Analysis
  • 5.4. Global Artificial Intelligence (AI)-Driven Expense Report Automation Historic Market Size and Growth, 2019 - 2024, Value ($ Billion)
  • 5.5. Global Artificial Intelligence (AI)-Driven Expense Report Automation Forecast Market Size and Growth, 2024 - 2029, 2034F, Value ($ Billion)
  • 5.6. Global Artificial Intelligence (AI)-Driven Expense Report Automation Total Addressable Market (TAM)

6. Artificial Intelligence (AI)-Driven Expense Report Automation Market Segmentation

  • 6.1. Global Artificial Intelligence (AI)-Driven Expense Report Automation Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Software
  • Services
  • 6.2. Global Artificial Intelligence (AI)-Driven Expense Report Automation Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Cloud
  • On-Premises
  • 6.3. Global Artificial Intelligence (AI)-Driven Expense Report Automation Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Small And Medium Enterprises
  • Large Enterprises
  • 6.4. Global Artificial Intelligence (AI)-Driven Expense Report Automation Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Travel And Expense Management
  • Invoice Management
  • Compliance Management
  • Fraud Detection
  • Other Applications
  • 6.5. Global Artificial Intelligence (AI)-Driven Expense Report Automation Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Banks, Financial Institutions And Insurers (BFSI)
  • Healthcare
  • Information Technology And Telecommunications
  • Retail
  • Manufacturing
  • Other End-Users
  • 6.6. Global Artificial Intelligence (AI)-Driven Expense Report Automation Market, Sub-Segmentation Of Software, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Web-Based Platforms
  • Mobile Applications
  • Cloud-Based Solutions
  • On-Premise Solutions
  • Artificial Intelligence (AI) -Powered Analytics Tools
  • Integration And Application Programming Interface Solutions
  • 6.7. Global Artificial Intelligence (AI)-Driven Expense Report Automation Market, Sub-Segmentation Of Services, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Implementation Services
  • Consulting Services
  • Training and Support Services
  • Managed Services
  • Maintenance and Upgrades
  • Customization Services

7. Artificial Intelligence (AI)-Driven Expense Report Automation Market Regional And Country Analysis

  • 7.1. Global Artificial Intelligence (AI)-Driven Expense Report Automation Market, Split By Region, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 7.2. Global Artificial Intelligence (AI)-Driven Expense Report Automation Market, Split By Country, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

8. Asia-Pacific Artificial Intelligence (AI)-Driven Expense Report Automation Market

  • 8.1. Asia-Pacific Artificial Intelligence (AI)-Driven Expense Report Automation Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 8.2. Asia-Pacific Artificial Intelligence (AI)-Driven Expense Report Automation Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.3. Asia-Pacific Artificial Intelligence (AI)-Driven Expense Report Automation Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.4. Asia-Pacific Artificial Intelligence (AI)-Driven Expense Report Automation Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

9. China Artificial Intelligence (AI)-Driven Expense Report Automation Market

  • 9.1. China Artificial Intelligence (AI)-Driven Expense Report Automation Market Overview
  • 9.2. China Artificial Intelligence (AI)-Driven Expense Report Automation Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.3. China Artificial Intelligence (AI)-Driven Expense Report Automation Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.4. China Artificial Intelligence (AI)-Driven Expense Report Automation Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

10. India Artificial Intelligence (AI)-Driven Expense Report Automation Market

  • 10.1. India Artificial Intelligence (AI)-Driven Expense Report Automation Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.2. India Artificial Intelligence (AI)-Driven Expense Report Automation Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.3. India Artificial Intelligence (AI)-Driven Expense Report Automation Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

11. Japan Artificial Intelligence (AI)-Driven Expense Report Automation Market

  • 11.1. Japan Artificial Intelligence (AI)-Driven Expense Report Automation Market Overview
  • 11.2. Japan Artificial Intelligence (AI)-Driven Expense Report Automation Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.3. Japan Artificial Intelligence (AI)-Driven Expense Report Automation Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.4. Japan Artificial Intelligence (AI)-Driven Expense Report Automation Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

12. Australia Artificial Intelligence (AI)-Driven Expense Report Automation Market

  • 12.1. Australia Artificial Intelligence (AI)-Driven Expense Report Automation Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.2. Australia Artificial Intelligence (AI)-Driven Expense Report Automation Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.3. Australia Artificial Intelligence (AI)-Driven Expense Report Automation Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

13. Indonesia Artificial Intelligence (AI)-Driven Expense Report Automation Market

  • 13.1. Indonesia Artificial Intelligence (AI)-Driven Expense Report Automation Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.2. Indonesia Artificial Intelligence (AI)-Driven Expense Report Automation Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.3. Indonesia Artificial Intelligence (AI)-Driven Expense Report Automation Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

14. South Korea Artificial Intelligence (AI)-Driven Expense Report Automation Market

  • 14.1. South Korea Artificial Intelligence (AI)-Driven Expense Report Automation Market Overview
  • 14.2. South Korea Artificial Intelligence (AI)-Driven Expense Report Automation Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.3. South Korea Artificial Intelligence (AI)-Driven Expense Report Automation Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.4. South Korea Artificial Intelligence (AI)-Driven Expense Report Automation Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

15. Western Europe Artificial Intelligence (AI)-Driven Expense Report Automation Market

  • 15.1. Western Europe Artificial Intelligence (AI)-Driven Expense Report Automation Market Overview
  • 15.2. Western Europe Artificial Intelligence (AI)-Driven Expense Report Automation Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.3. Western Europe Artificial Intelligence (AI)-Driven Expense Report Automation Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.4. Western Europe Artificial Intelligence (AI)-Driven Expense Report Automation Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

16. UK Artificial Intelligence (AI)-Driven Expense Report Automation Market

  • 16.1. UK Artificial Intelligence (AI)-Driven Expense Report Automation Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.2. UK Artificial Intelligence (AI)-Driven Expense Report Automation Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.3. UK Artificial Intelligence (AI)-Driven Expense Report Automation Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

17. Germany Artificial Intelligence (AI)-Driven Expense Report Automation Market

  • 17.1. Germany Artificial Intelligence (AI)-Driven Expense Report Automation Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.2. Germany Artificial Intelligence (AI)-Driven Expense Report Automation Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.3. Germany Artificial Intelligence (AI)-Driven Expense Report Automation Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

18. France Artificial Intelligence (AI)-Driven Expense Report Automation Market

  • 18.1. France Artificial Intelligence (AI)-Driven Expense Report Automation Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.2. France Artificial Intelligence (AI)-Driven Expense Report Automation Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.3. France Artificial Intelligence (AI)-Driven Expense Report Automation Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

19. Italy Artificial Intelligence (AI)-Driven Expense Report Automation Market

  • 19.1. Italy Artificial Intelligence (AI)-Driven Expense Report Automation Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.2. Italy Artificial Intelligence (AI)-Driven Expense Report Automation Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.3. Italy Artificial Intelligence (AI)-Driven Expense Report Automation Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

20. Spain Artificial Intelligence (AI)-Driven Expense Report Automation Market

  • 20.1. Spain Artificial Intelligence (AI)-Driven Expense Report Automation Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.2. Spain Artificial Intelligence (AI)-Driven Expense Report Automation Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.3. Spain Artificial Intelligence (AI)-Driven Expense Report Automation Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

21. Eastern Europe Artificial Intelligence (AI)-Driven Expense Report Automation Market

  • 21.1. Eastern Europe Artificial Intelligence (AI)-Driven Expense Report Automation Market Overview
  • 21.2. Eastern Europe Artificial Intelligence (AI)-Driven Expense Report Automation Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.3. Eastern Europe Artificial Intelligence (AI)-Driven Expense Report Automation Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.4. Eastern Europe Artificial Intelligence (AI)-Driven Expense Report Automation Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

22. Russia Artificial Intelligence (AI)-Driven Expense Report Automation Market

  • 22.1. Russia Artificial Intelligence (AI)-Driven Expense Report Automation Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.2. Russia Artificial Intelligence (AI)-Driven Expense Report Automation Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.3. Russia Artificial Intelligence (AI)-Driven Expense Report Automation Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

23. North America Artificial Intelligence (AI)-Driven Expense Report Automation Market

  • 23.1. North America Artificial Intelligence (AI)-Driven Expense Report Automation Market Overview
  • 23.2. North America Artificial Intelligence (AI)-Driven Expense Report Automation Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.3. North America Artificial Intelligence (AI)-Driven Expense Report Automation Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.4. North America Artificial Intelligence (AI)-Driven Expense Report Automation Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

24. USA Artificial Intelligence (AI)-Driven Expense Report Automation Market

  • 24.1. USA Artificial Intelligence (AI)-Driven Expense Report Automation Market Overview
  • 24.2. USA Artificial Intelligence (AI)-Driven Expense Report Automation Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.3. USA Artificial Intelligence (AI)-Driven Expense Report Automation Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.4. USA Artificial Intelligence (AI)-Driven Expense Report Automation Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

25. Canada Artificial Intelligence (AI)-Driven Expense Report Automation Market

  • 25.1. Canada Artificial Intelligence (AI)-Driven Expense Report Automation Market Overview
  • 25.2. Canada Artificial Intelligence (AI)-Driven Expense Report Automation Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.3. Canada Artificial Intelligence (AI)-Driven Expense Report Automation Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.4. Canada Artificial Intelligence (AI)-Driven Expense Report Automation Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

26. South America Artificial Intelligence (AI)-Driven Expense Report Automation Market

  • 26.1. South America Artificial Intelligence (AI)-Driven Expense Report Automation Market Overview
  • 26.2. South America Artificial Intelligence (AI)-Driven Expense Report Automation Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.3. South America Artificial Intelligence (AI)-Driven Expense Report Automation Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.4. South America Artificial Intelligence (AI)-Driven Expense Report Automation Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

27. Brazil Artificial Intelligence (AI)-Driven Expense Report Automation Market

  • 27.1. Brazil Artificial Intelligence (AI)-Driven Expense Report Automation Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.2. Brazil Artificial Intelligence (AI)-Driven Expense Report Automation Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.3. Brazil Artificial Intelligence (AI)-Driven Expense Report Automation Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

28. Middle East Artificial Intelligence (AI)-Driven Expense Report Automation Market

  • 28.1. Middle East Artificial Intelligence (AI)-Driven Expense Report Automation Market Overview
  • 28.2. Middle East Artificial Intelligence (AI)-Driven Expense Report Automation Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.3. Middle East Artificial Intelligence (AI)-Driven Expense Report Automation Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.4. Middle East Artificial Intelligence (AI)-Driven Expense Report Automation Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

29. Africa Artificial Intelligence (AI)-Driven Expense Report Automation Market

  • 29.1. Africa Artificial Intelligence (AI)-Driven Expense Report Automation Market Overview
  • 29.2. Africa Artificial Intelligence (AI)-Driven Expense Report Automation Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.3. Africa Artificial Intelligence (AI)-Driven Expense Report Automation Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.4. Africa Artificial Intelligence (AI)-Driven Expense Report Automation Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

30. Artificial Intelligence (AI)-Driven Expense Report Automation Market Competitive Landscape And Company Profiles

  • 30.1. Artificial Intelligence (AI)-Driven Expense Report Automation Market Competitive Landscape
  • 30.2. Artificial Intelligence (AI)-Driven Expense Report Automation Market Company Profiles
    • 30.2.1. International Business Machines Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.2. Oracle Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.3. SAP SE Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.4. Workday Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.5. Infor Inc. Overview, Products and Services, Strategy and Financial Analysis

31. Artificial Intelligence (AI)-Driven Expense Report Automation Market Other Major And Innovative Companies

  • 31.1. The Sage Group plc
  • 31.2. Concur Technologies Inc.
  • 31.3. Bill Holdings Inc.
  • 31.4. Xero Limited
  • 31.5. Coupa Software Inc.
  • 31.6. Basware Corporation
  • 31.7. Emburse Inc.
  • 31.8. Tipalti Inc.
  • 31.9. Tradeshift Holdings Inc.
  • 31.10. Expensify Inc.
  • 31.11. AppZen Inc.
  • 31.12. Globality Inc.
  • 31.13. Spendesk SAS
  • 31.14. SutiSoft Inc.
  • 31.15. Oversight Systems Inc.

32. Global Artificial Intelligence (AI)-Driven Expense Report Automation Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Artificial Intelligence (AI)-Driven Expense Report Automation Market

34. Recent Developments In The Artificial Intelligence (AI)-Driven Expense Report Automation Market

35. Artificial Intelligence (AI)-Driven Expense Report Automation Market High Potential Countries, Segments and Strategies

  • 35.1 Artificial Intelligence (AI)-Driven Expense Report Automation Market In 2029 - Countries Offering Most New Opportunities
  • 35.2 Artificial Intelligence (AI)-Driven Expense Report Automation Market In 2029 - Segments Offering Most New Opportunities
  • 35.3 Artificial Intelligence (AI)-Driven Expense Report Automation Market In 2029 - Growth Strategies
    • 35.3.1 Market Trend Based Strategies
    • 35.3.2 Competitor Strategies

36. Appendix

  • 36.1. Abbreviations
  • 36.2. Currencies
  • 36.3. Historic And Forecast Inflation Rates
  • 36.4. Research Inquiries
  • 36.5. The Business Research Company
  • 36.6. Copyright And Disclaimer