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市场调查报告书
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1852240

人工智慧 (AI) 费用报告 自动化全球市场报告 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个工作天内

价格
简介目录

近年来，利用人工智慧 (AI) 实现费用报告自动化的市场规模迅速扩张，预计将从 2024 年的 24.6 亿美元增长到 2025 年的 28.2 亿美元，复合年增长率为 14.4%。云端技术的日益普及、减少费用报告错误的需求日益增长、对营运效率的要求日益提高、差旅费用不断上涨以及合规和审核需求的不断增长，都是推动这一增长的因素。

预计未来几年，人工智慧 (AI) 赋能的费用报告自动化市场将快速成长，到 2029 年将达到 47.7 亿美元，复合年增长率为 14.1%。预测期内，预计成长将由以下因素推动：人工智慧与财务软体的日益融合、人们对自动化优势的认识不断提升、行动费用报告解决方案的广泛采用、对更快费用报销流程的需求不断增长以及数位支付方式的使用日益增多。预计主要趋势包括机器学习演算法的进步、即时费用分析的发展、云端基础的自动化平台的创新、用于收据扫描的自然语言处理技术的进步以及与企业资源规划 (ERP) 系统的无缝整合。

人工智慧费用自动化采用先进的人工智慧技术，包括机器学习、自然语言处理和光学字元识别，可自动撷取、提取和处理员工收据、发票和信用卡帐单中的资讯。透过减少手动资料输入，这种方法可以提高准确性，加快费用报销速度，检测违规行为和欺诈性索赔，并为组织提供关于支出模式的可行洞察，从而提升整体财务效率和合规性。

人工智慧费用报销自动化的关键组件包括软体和服务。软体包括利用人工智慧简化费用报告管理的数位平台和工具。这些解决方案可以透过云端或本地系统部署，适用于从中小型企业到大型企业的各种规模的组织。它们应用于差旅和费用管理、发票管理、合规性监控和诈欺检测等领域，服务于各种终端用户，包括银行、金融机构和保险公司 (BFSI)、医疗保健提供者、IT 和通讯公司、零售商和製造商。

2025 年春季美国关税的快速上涨以及由此引发的贸易摩擦对金融业产生了重大影响，尤其是对投资策略和风险管理。关税上涨加剧了市场波动，促使机构投资者采取谨慎行为，并增加了对冲工具的需求。由于关税扰乱了全球供应链，损害了推动股市表现的企业收益，银行和资产管理公司面临与跨境交易相关的成本增加。同时，保险公司正在努力应对与供应链中断和贸易相关业务损失相关的索赔风险增加。此外，消费支出减弱和出口需求疲软正在抑制信贷成长和投资意愿。保险业现在必须优先考虑多元化、数位转型和稳健的情境规划，以应对日益增长的经济不确定性并保护盈利。

本研究报告是商业研究公司 (The Business Research Company) 新报告系列的一部分，该系列提供人工智慧 (AI) 驱动的费用报告自动化市场统计数据，包括全球市场规模、各地区份额、竞争对手的人工智慧 (AI) 驱动的费用报告自动化市场份额、详细的人工智慧 (AI) 驱动的费用报告自动化细分市场、市场趋势和商业机会。这份由人工智慧 (AI) 驱动的费用报告自动化市场研究报告对该行业的现状和未来趋势进行了详细分析，为您提供所需的全方位观点。

预计对云端基础的解决方案的需求不断增长将推动人工智慧 (AI) 驱动的费用报告自动化市场的扩张。云端处理透过互联网按需提供储存、处理能力和应用程式等 IT 资源，使企业无需管理实体基础设施即可扩展其服务。这种方法使公司能够根据需求调整 IT 资源，并最大限度地降低硬体相关成本。云端平台提供人工智慧驱动的费用报告自动化所需的扩充性、安全性和可存取性，从而简化了资料输入、核准和即时财务报告等任务。据欧盟统计局称，到 2023 年，45.2% 的欧盟公司将使用云端处理服务，比 2021 年增加 4.2 个百分点。

在人工智慧费用报告自动化领域，越来越多的公司正在采用人工智慧行动应用程式来改善企业费用管理。这些应用程式可自动执行费用追踪、提交和核准流程，同时确保合规性并提供可操作的财务洞察。 2024年4月，美国软体公司Emburse, Inc.推出了一款行动应用程序，利用人工智慧简化员工和管理人员的费用报告流程。该应用程式可自动取得收据并输入费用明细，支援多种语言、货币和手写值，从而减少了手动输入的核准。它允许透过个人化仪表板快速提交费用，支援全部和部分核准，并可与差旅和发票管理系统整合。

2025年1月，美国人力资本管理公司Paychex Inc.以41亿美元收购了Paycor HCM, Inc.。此次收购旨在增强Paychex基于人工智慧的人力资源和费用自动化能力，巩固其在高端市场的地位，扩大市场覆盖范围，并确保新的收益来源。 Paycor HCM, Inc.提供薪资核算和人力资本管理解决方案，包括基于人工智慧的费用报告自动化工具。

人工智慧 (AI) 费用报告自动化市场由提供资料迁移、持续 AI 模型训练和更新、策略客製化以及跨境税务和合规咨询等服务的营业单位所获得的收入构成。市场价值包括服务供应商销售或包含在其服务产品中的相关产品的收益。人工智慧 (AI) 费用报告自动化市场还包括行动费用追踪应用程式、企业卡交易整合工具、聊天机器人助理、自动货币转换模组和应用程式介面 (API) 连接器的销售。此市场的价值代表「工厂门口」价值，即商品製造商或创造者向其他营业单位（包括下游製造商、批发商、经销商和零售商）或直接向最终客户销售的商品价值。该市场中的商品价值还包括商品创造者销售的任何相关服务。

目录

第一章执行摘要

第二章 市场特征

第三章 市场趋势与策略

第四章 市场：宏观经济情景，包括利率、通膨、地缘政治、贸易战和关税，以及新冠疫情和復苏对市场的影响

第五章 全球成长分析与策略分析框架

  • 全球人工智慧 (AI) 费用报告自动化：PESTEL 分析（政治、社会、技术、环境、法律因素、驱动因素和限制因素）
  • 最终用途产业分析
  • 全球人工智慧（AI）费用报告自动化市场：成长率分析
  • 全球人工智慧 (AI) 费用报告自动化市场表现：规模与成长，2019-2024 年
  • 全球人工智慧 (AI) 费用报告自动化市场预测：规模与成长，2024-2029 年，2034 年预测
  • 全球人工智慧 (AI) 费用报告自动化：总潜在市场 (TAM)

第六章 市场细分

  • 全球人工智慧 (AI) 费用报告自动化市场：按组件、实际和预测，2019-2024 年、2024-2029 年、2034 年
  • 软体
  • 服务
  • 全球人工智慧 (AI) 费用报告自动化市场：按部署模式、实际和预测，2019-2024 年、2024-2029 年、2034 年
  • 云
  • 本地部署
  • 全球人工智慧 (AI) 费用报告自动化市场：按组织规模、实际结果和预测，2019-2024 年、2024-2029 年、2034 年
  • 小型企业
  • 大公司
  • 全球人工智慧 (AI) 费用报告自动化市场：按应用、实际结果和预测，2019-2024 年、2024-2029 年、2034 年
  • 差旅和费用管理
  • 帐单管理
  • 合规管理
  • 诈欺侦测
  • 其他用途
  • 全球人工智慧 (AI) 费用报告自动化市场：按最终用户、实际和预测，2019-2024 年、2024-2029 年、2034 年
  • 银行、金融机构及保险公司（BFSI）
  • 卫生保健
  • 资讯科技和通讯
  • 零售
  • 製造业
  • 其他最终用户
  • 全球人工智慧 (AI) 费用报告自动化市场：按软体类型细分，实际及预测，2019-2024 年、2024-2029 年、2034 年
  • 网路为基础的平台
  • 行动应用程式
  • 云端基础的解决方案
  • 本地解决方案
  • 使用人工智慧（AI）的分析工具
  • 整合和应用程式介面解决方案
  • 全球人工智慧 (AI) 费用报告自动化市场：按服务类型、实际和预测细分，2019-2024 年、2024-2029 年、2034 年
  • 实施服务
  • 咨询服务
  • 培训和支援服务
  • 託管服务
  • 维护和升级
  • 客製化服务

第七章 区域和国家分析

  • 全球人工智慧 (AI) 费用报告自动化市场：按地区、实际结果和预测，2019-2024 年、2024-2029 年、2034 年
  • 全球人工智慧 (AI) 费用自动化市场：国家、实际结果和预测，2019-2024 年、2024-2029 年、2034 年

第八章 亚太市场

第九章：中国市场

第十章 印度市场

第十一章 日本市场

第十二章：澳洲市场

第十三章 印尼市场

第十四章 韩国市场

第十五章：西欧市场

第十六章英国市场

第十七章：德国市场

第18章：法国市场

第十九章：义大利市场

第20章：西班牙市场

第21章 东欧市场

第22章：俄罗斯市场

第23章 北美市场

第24章美国市场

第25章：加拿大市场

第26章 南美洲市场

第27章：巴西市场

第28章 中东市场

第29章：非洲市场

第30章：竞争格局与公司概况

  • 人工智慧（AI）费用报告自动化市场：竞争格局
  • 人工智慧（AI）费用报告自动化市场：公司简介
    • 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：其他领先和创新企业

  • 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 章全球市场竞争基准化分析与仪表板

第33章 重大併购

第34章近期市场趋势

第 35 章：高潜力市场国家、细分市场与策略

  • 2029年人工智慧（AI）费用报告自动化市场：提供新机会的国家
  • 2029年人工智慧（AI）费用报告自动化市场：细分领域带来新机会
  • 2029年人工智慧（AI）费用报告自动化市场：成长策略
    • 基于市场趋势的策略
    • 竞争对手策略

第36章 附录

简介目录
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