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全球金融人工智慧市場：按產品、技術、應用、最終用戶、地區分類 - 到 2030 年的預測
市場調查報告書
商品編碼
1594716

全球金融人工智慧市場：按產品、技術、應用、最終用戶、地區分類 - 到 2030 年的預測

AI in Finance Market by Product (Algorithmic Trading, Virtual Assistants, Robo-Advisors, GRC, IDP, Underwriting Tools), Technology, Application (Fraud Detection, Risk Management, Trend Analysis, Financial Planning, Forecasting) - Global Forecast to 2030
出版日期: | 出版商: MarketsandMarkets | 英文 393 Pages | 訂單完成後即時交付

價格

金融人工智慧的市場規模預計將從2024年的383.6億美元成長到2030年的1,903.3億美元，預測期內複合年成長率為30.6%。

人工智慧驅動的金融市場對聊天機器人和虛擬助理的需求很大，因為它們可以實現客戶服務自動化、改善用戶體驗並降低營運成本。對人工智慧驅動的演算法的需求不斷成長，以增強風險識別和緩解、促進更安全的金融實踐並塑造金融領域的人工智慧市場。

調查範圍
調查年份 2019-2030
基準年 2023年
預測期 2024-2030
考慮單位 美元（十億美元）
部分 按產品、技術、應用、最終用戶、地區
目標區域 北美、歐洲、亞太地區、中東/非洲、拉丁美洲

金融科技公司擴大利用人工智慧來實現金融服務自動化、改善客戶體驗並提高業務效率。該技術可實現即時資料分析，對於個人化金融解決方案和有效的風險管理至關重要。隨著消費者要求更快、更有效率的服務，金融科技公司正在利用人工智慧來執行詐欺偵測、信用評分以及客戶參與等任務。金融科技領域的不斷創新和競爭格局正在推動對複雜人工智慧解決方案的需求，從而使該行業在未來幾年實現顯著成長。

各經濟體的快速數位轉型和金融科技Start-Ups的崛起正在推動亞太地區的人工智慧解決方案。中國和印度等國家正大力投資人工智慧技術，以增強金融服務並改善客戶體驗。該地區龐大的消費群為客製化金融產品和服務提供了巨大的機會。新加坡金融管理局 (MAS) 和中國國家電腦網路空間辦公室 (CAC) 等監管機構促進創新並進一步支持市場成長。對資料主導決策的日益關注以及對高效風險管理解決方案的需求也促進了人工智慧在金融領域的快速採用，使亞太地區成為該領域的領導者。

本報告審視了全球金融人工智慧市場，並按產品、技術、應用、最終用戶、地區和進入市場的公司概況總結了趨勢。

目錄

第1章簡介

第2章調查方法

第3章執行摘要

第 4 章重要考察

第5章市場概況及產業趨勢

  • 介紹
  • 市場動態
  • 金融領域人工智慧市場的演變
  • 供應鏈分析
  • 生態系分析
  • 案例研究分析
  • 技術分析
  • 2024-2025年重大會議和活動
  • 投資金籌措場景
  • 監管狀況
  • 專利分析
  • 價格分析
  • 波特五力分析
  • 影響客戶業務的趨勢/干擾
  • 主要相關人員和採購標準
  • 生成式人工智慧對金融領域人工智慧市場的影響

第6章 金融人工智慧市場（分產品）

  • 介紹
  • 類型
  • 部署方式

第7章 金融領域的人工智慧市場（按技術）

  • 介紹
  • 人工智慧世代
  • 其他

第8章 金融人工智慧市場（按應用分類）

  • 介紹
  • 金融作為一種商業運作
  • 財務作為一項業務功能

第9章 金融領域的人工智慧市場（按最終用戶）

  • 介紹
  • 最終用戶
  • 金融作為一種商業運作

第10章 金融人工智慧市場（分地區）

  • 介紹
  • 北美洲
  • 歐洲
  • 亞太地區
  • 中東/非洲
  • 拉丁美洲

第11章競爭格局

  • 概述
  • 主要參與企業的策略/秘密，2020-2024
  • 2019-2023年收益分析
  • 2023 年市場佔有率分析
  • 產品比較
  • 主要供應商企業評估及財務指標
  • 企業評估矩陣：主要參與企業，2023
  • 企業評估矩陣：Start-Ups/小型企業，2023 年
  • 競爭場景

第12章 公司簡介

  • 介紹
  • 主要參與企業
    • FIS
    • FISERV
    • GOOGLE
    • MICROSOFT
    • ZOHO
    • IBM
    • SOCURE
    • WORKIVA
    • PLAID
    • C3 AI
    • HIGHRADIUS
    • SAP
    • AWS
    • HPE
    • ORACLE
    • SALESFORCE
    • INTEL
    • NVIDIA
    • NETAPP
    • DATAROBOT
    • ENOVA INTERNATIONAL
    • ALPHASENSE
    • OCROLUS
    • VECTRA AI
    • TERADATA
    • PEGA
    • VENA SOLUTIONS
    • AFFIRM
    • SYMPHONYAI
    • ENVESTNET|YODLEE
  • Start-Ups/小型企業
    • ADDEPTO
    • DEEPER INSIGHTS
    • H2O.AI
    • APP0
    • UNDERWRITE.AI
    • DEEPGRAM
    • EMAGIA
    • INDATA LABS
    • ZEST AI
    • SCIENAPTIC AI
    • GRADIENT AI
    • KASISTO
    • TRUMID
    • DATAVISOR
    • KAVOUT
    • WEALTHBLOCK

第13章 鄰近及相關市場

第14章附錄

Product Code: TC 9214

The AI in Finance market is projected to grow from USD 38.36 billion in 2024 to USD 190.33 billion by 2030, at a compound annual growth rate (CAGR) of 30.6% during the forecast period. Chatbots and virtual assistants are in demand in the AI-driven finance market due to the ability to automate customer service, enhance user experience, and reduce operational costs. The rising demand of AI-powered algorithms enhance risk identification and mitigation, fostering safer financial practices is shaping the AI in Finance market.

Scope of the Report
Years Considered for the Study2019-2030
Base Year2023
Forecast Period2024-2030
Units ConsideredUSD (Billion)
SegmentsProduct type, Technology, Application, End user, and Region
Regions coveredNorth America, Europe, Asia Pacific, Middle East & Africa, Latin America

"By end user as business operation, Fintech segment registers the highest CAGR during the forecast period."

Fintech companies are increasingly leveraging AI to automate financial services, enhance customer experiences, and improve operational efficiency. This technology enables real-time data analysis, which is crucial for personalized financial solutions and effective risk management. As consumers demand faster and more efficient services, fintech firms are utilizing AI for tasks such as fraud detection, credit scoring, and customer engagement through chatbots. The continuous innovation and competitive landscape in fintech drive the need for sophisticated AI solutions, positioning this segment for substantial growth in the coming years.

"By region, Asia Pacific to register the highest CAGR market during the forecast period." Rapid digital transformation across economies and the rise of fintech startups are driving AI solutions in Asia Pacific. Countries like China and India are investing heavily in AI technologies to enhance financial services and improve customer experiences. The region's vast consumer base presents major opportunities of customized financial products and services. Regulatory bodies such as Monetary Authority of Singapore (MAS) and Cyberspace Administration of China (CAC) promote innovation and further boost market growth. The increasing focus on data-driven decision-making and the need for efficient risk management solutions also contribute to the rapid adoption of AI in finance, positioning Asia-Pacific as a leader in this sector.

Breakdown of primaries

In-depth interviews were conducted with Chief Executive Officers (CEOs), innovation and technology directors, system integrators, and executives from various key organizations operating in the AI in Finance market.

  • By Company: Tier I: 35%, Tier II: 45%, and Tier III: 20%
  • By Designation: C-Level: 35%, Director Level: 25%, and Others: 40%
  • By Region: North America: 40%, Europe: 25%, Asia Pacific: 20%, Middle East & Africa: 10%, and Latin America: 5%.

FIS (US), Fiserv (US), Google (US), Microsoft (US), Zoho (India), IBM (US), Socure (US), Workiva (US), Plaid (US), SAS (US), C3 AI (US); are some of the key players in the AI in Finance market.

The study includes an in-depth competitive analysis of these key players in the AI in Finance market, including their company profiles, recent developments, and key market strategies.

Research Coverage

This research report categorizes the AI in Finance market by product type (ERP and financial services, chatbots and virtual assistants, automated reconciliation solutions, intelligent document processing, governance, risk and compliance (GRC) software, accounts payable/receivable automation software, robo-advisors, expense management systems, compliance automation platforms, algorithmic trading platforms, underwriting engines/platforms), by deployment mode (cloud and on-premises), by technology (generative AI, NLP and predictive analytics), by application (Business operation (fraud detection and prevention, risk management, customer service & engagement, financial compliance & regulatory reporting, investment & portfolio management) Business function (financial planning & forecasting, automated bookkeeping & reconciliation, procurement & supply chain finance, revenue cycle management), by End user (Enterprise as business function (government & public sectors, retail & ecommerce, real estate, manufacturing, telecom & media, healthcare & pharma, utilities, technology & software) Enterprise as business operation (banking, insurance, investment & asset management, fintech, accounting & auditing firms, capital markets/regtech, payments & cards/payment processing) and by region (North America, Europe, Asia Pacific, Middle East & Africa, and Latin America). The scope of the report covers detailed information regarding the major factors, such as drivers, restraints, challenges, and opportunities, influencing the growth of the AI in Finance market. A detailed analysis of the key industry players has been done to provide insights into their business overview, solutions and services, key strategies, Contracts, partnerships, and agreements. new product & service launches, mergers and acquisitions, and recent developments associated with the AI in Finance market. Competitive analysis of upcoming startups in the AI in Finance market ecosystem is covered in this report.

Key Benefits of Buying the Report

The report will help the market leaders/new entrants in this market with information on the closest approximations of the revenue numbers for the overall AI in Finance market and the subsegments. This report will help stakeholders understand the competitive landscape and gain more insights to position their businesses better and to plan suitable go-to-market strategies. The report also helps stakeholders understand the pulse of the market and provides them with information on key market drivers, restraints, challenges, and opportunities.

The report provides insights on the following pointers:

  • Analysis of key drivers (AI-powered algorithms enhance risk identification and mitigation, fostering safer financial practices, AI-driven chatbots and virtual assistants enhance customer service experiences, making financial advice more accessible, machine learning models provide accurate forecasts which help in strategic planning and investment decisions), restraints (the possibility of bias and issues related to the ethical use of data), opportunities (rise in demand for hyper-personalization of financial products and tailoring services to individual customer needs and preferences for long-term engagement), and challenges (Safeguarding data to prevent breaches and regulatory violations) influencing the growth of the AI in Finance market.
  • Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the AI in Finance market
  • Market Development: Comprehensive information about lucrative markets - the report analyses the AI in Finance market across varied regions.
  • Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the AI in Finance market
  • Competitive Assessment: In-depth assessment of market shares, growth strategies and service offerings of leading players FIS (US), Fiserv (US), Google (US), Microsoft (US), Zoho (India), IBM (US), Socure (US), Workiva (US), Plaid (US), SAS (US), C3 AI (US) among others in AI in Finance market.

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 STUDY OBJECTIVES
  • 1.2 MARKET DEFINITION
    • 1.2.1 INCLUSIONS AND EXCLUSIONS
  • 1.3 MARKET SCOPE
    • 1.3.1 MARKET SEGMENTATION
    • 1.3.2 YEARS CONSIDERED
  • 1.4 CURRENCY CONSIDERED
  • 1.5 STAKEHOLDERS

2 RESEARCH METHODOLOGY

  • 2.1 RESEARCH DATA
    • 2.1.1 SECONDARY DATA
    • 2.1.2 PRIMARY DATA
      • 2.1.2.1 Breakup of primary profiles
      • 2.1.2.2 Key industry insights
  • 2.2 DATA TRIANGULATION
  • 2.3 MARKET SIZE ESTIMATION
    • 2.3.1 TOP-DOWN APPROACH
    • 2.3.2 BOTTOM-UP APPROACH
  • 2.4 MARKET FORECAST
  • 2.5 RESEARCH ASSUMPTIONS
  • 2.6 RISK ASSESSMENT
  • 2.7 RESEARCH LIMITATIONS

3 EXECUTIVE SUMMARY

4 PREMIUM INSIGHTS

  • 4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN AI IN FINANCE MARKET
  • 4.2 AI IN FINANCE MARKET: TOP THREE APPLICATIONS
  • 4.3 NORTH AMERICA: AI IN FINANCE MARKET, BY DEPLOYMENT MODE AND END USER
  • 4.4 AI IN FINANCE MARKET, BY REGION

5 MARKET OVERVIEW AND INDUSTRY TRENDS

  • 5.1 INTRODUCTION
  • 5.2 MARKET DYNAMICS
    • 5.2.1 DRIVERS
      • 5.2.1.1 Increasing demand for precise forecasts for strategic planning and investment
      • 5.2.1.2 Growing adoption of AI algorithms to enhance risk detection and mitigation
      • 5.2.1.3 Rising popularity of personalized financial services
    • 5.2.2 RESTRAINTS
      • 5.2.2.1 Concerns regarding bias and ethical data use
    • 5.2.3 OPPORTUNITIES
      • 5.2.3.1 Growing need for hyper-personalized financial products for long-term customer engagement and tailored services
      • 5.2.3.2 Rising demand for accurate credit scoring and better risk management
    • 5.2.4 CHALLENGES
      • 5.2.4.1 Ensuring data security to prevent breaches or violations
      • 5.2.4.2 AI model complexity in finance
  • 5.3 EVOLUTION OF AI IN FINANCE MARKET
  • 5.4 SUPPLY CHAIN ANALYSIS
  • 5.5 ECOSYSTEM ANALYSIS
    • 5.5.1 FRAUD DETECTION & PREVENTION PROVIDERS
    • 5.5.2 RISK MANAGEMENT PROVIDERS
    • 5.5.3 CUSTOMER SERVICE & ENGAGEMENT PROVIDERS
    • 5.5.4 FINANCIAL COMPLIANCE & REGULATORY REPORTING PROVIDERS
    • 5.5.5 INVESTMENT & PORTFOLIO MANAGEMENT PROVIDERS
    • 5.5.6 END USERS
  • 5.6 CASE STUDY ANALYSIS
    • 5.6.1 PAYPAL ENHANCES FRAUD DETECTION CAPABILITIES WITH H2O.AI'S DRIVERLESS AI SOLUTION
    • 5.6.2 VENA SOLUTIONS TRANSFORMING FINANCIAL REPORTING AND PLANNING AT SHIFT4 PAYMENTS
    • 5.6.3 INVESTA ENHANCES FUND REPORTING EFFICIENCY WITH WORKIVA'S STREAMLINED SOLUTIONS
    • 5.6.4 DATAVISOR AND MICROSOFT AZURE COLLABORATE TO ENHANCE REAL-TIME FRAUD DETECTION
    • 5.6.5 ZOHO EMPOWERS PLENTI WITH UNIFIED CRM SOLUTION TO ENHANCE CUSTOMER ENGAGEMENT AND OPERATIONAL EFFICIENCY
  • 5.7 TECHNOLOGY ANALYSIS
    • 5.7.1 KEY TECHNOLOGIES
      • 5.7.1.1 NLP & deep learning
      • 5.7.1.2 Computer vision
      • 5.7.1.3 Predictive analytics
      • 5.7.1.4 Robotic process automation (RPA)
      • 5.7.1.5 Reinforcement learning
      • 5.7.1.6 Explainable AI (XAI)
      • 5.7.1.7 Anomaly detection
    • 5.7.2 ADJACENT TECHNOLOGIES
      • 5.7.2.1 Cybersecurity
      • 5.7.2.2 IoT
      • 5.7.2.3 AR/VR
      • 5.7.2.4 Digital identity verification
    • 5.7.3 COMPLEMENTARY TECHNOLOGIES
      • 5.7.3.1 Cloud computing
      • 5.7.3.2 Edge computing
      • 5.7.3.3 Quantum computing
      • 5.7.3.4 Big data analytics
      • 5.7.3.5 Blockchain
  • 5.8 KEY CONFERENCES AND EVENTS, 2024-2025
  • 5.9 INVESTMENT AND FUNDING SCENARIO
  • 5.10 REGULATORY LANDSCAPE
    • 5.10.1 REGULATORY BODIES, GOVERNMENT AGENCIES, FRAMEWORKS, AND OTHER ORGANIZATIONS
    • 5.10.2 REGULATORY LANDSCAPE, BY REGION
      • 5.10.2.1 North America
        • 5.10.2.1.1 US
        • 5.10.2.1.2 Canada
      • 5.10.2.2 Europe
        • 5.10.2.2.1 EU
        • 5.10.2.2.2 UK
      • 5.10.2.3 Asia Pacific
        • 5.10.2.3.1 Singapore
        • 5.10.2.3.2 Hong Kong
        • 5.10.2.3.3 China
        • 5.10.2.3.4 South Korea
        • 5.10.2.3.5 Taiwan
      • 5.10.2.4 Middle East & Africa
        • 5.10.2.4.1 UAE
        • 5.10.2.4.2 South Africa
        • 5.10.2.4.3 Israel
        • 5.10.2.4.4 Saudi Arabia
      • 5.10.2.5 Latin America
        • 5.10.2.5.1 Brazil
        • 5.10.2.5.2 Mexico
        • 5.10.2.5.3 Chile
  • 5.11 PATENT ANALYSIS
    • 5.11.1 METHODOLOGY
    • 5.11.2 PATENTS FILED, BY DOCUMENT TYPE
    • 5.11.3 INNOVATIONS AND PATENT APPLICATIONS
  • 5.12 PRICING ANALYSIS
    • 5.12.1 AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY APPLICATION
    • 5.12.2 INDICATIVE PRICING ANALYSIS, BY PRODUCT TYPE
  • 5.13 PORTER'S FIVE FORCES ANALYSIS
    • 5.13.1 THREAT OF NEW ENTRANTS
    • 5.13.2 THREAT OF SUBSTITUTES
    • 5.13.3 BARGAINING POWER OF SUPPLIERS
    • 5.13.4 BARGAINING POWER OF BUYERS
    • 5.13.5 INTENSITY OF COMPETITIVE RIVALRY
  • 5.14 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
  • 5.15 KEY STAKEHOLDERS AND BUYING CRITERIA
    • 5.15.1 KEY STAKEHOLDERS IN BUYING PROCESS
    • 5.15.2 BUYING CRITERIA
  • 5.16 IMPACT OF GENERATIVE AI ON AI IN FINANCE MARKET
    • 5.16.1 TOP USE CASES & MARKET POTENTIAL
      • 5.16.1.1 Key use cases
    • 5.16.2 AUTOMATED FINANCIAL REPORTING
    • 5.16.3 ENHANCED RISK MANAGEMENT
    • 5.16.4 PERSONALIZED FINANCIAL SERVICES
    • 5.16.5 STREAMLINED CUSTOMER INTERACTIONS
    • 5.16.6 FRAUD DETECTION AND COMPLIANCE
    • 5.16.7 INNOVATIVE FINANCIAL PLANNING

6 AI IN FINANCE MARKET, BY PRODUCT

  • 6.1 INTRODUCTION
    • 6.1.1 PRODUCT: AI IN FINANCE MARKET DRIVERS
  • 6.2 TYPE
    • 6.2.1 ERP AND FINANCIAL SYSTEMS
      • 6.2.1.1 Real-time analytics and automated reporting for improved financial management
    • 6.2.2 CHATBOTS & VIRTUAL ASSISTANTS
      • 6.2.2.1 Enhancing operational efficiency and customer engagement in financial services
    • 6.2.3 AUTOMATED RECONCILIATION SOLUTIONS
      • 6.2.3.1 Boosting operational agility for swift transaction processing
    • 6.2.4 INTELLIGENT DOCUMENT PROCESSING
      • 6.2.4.1 Reducing manual errors, enabling quick decision-making, and accelerating processing time
    • 6.2.5 GOVERNANCE, RISK, AND COMPLIANCE (GRC) SOFTWARE
      • 6.2.5.1 Facilitating seamless collaboration across departments
    • 6.2.6 ACCOUNTS PAYABLE/RECEIVABLE AUTOMATION SOFTWARE
      • 6.2.6.1 Providing real-time insights for informed financial decisions
    • 6.2.7 ROBO-ADVISORS
      • 6.2.7.1 Providing automated investment management and financial advisory services
    • 6.2.8 EXPENSE MANAGEMENT SYSTEMS
      • 6.2.8.1 Streamlining financial operations and controlling costs
    • 6.2.9 COMPLIANCE AUTOMATION PLATFORMS
      • 6.2.9.1 Identifying compliance risks and enabling real-time alerts
    • 6.2.10 ALGORITHMIC TRADING PLATFORMS
      • 6.2.10.1 Automating trade execution and responding to market fluctuations
    • 6.2.11 UNDERWRITING ENGINES/PLATFORMS
      • 6.2.11.1 Expediting loan approvals and promoting fair lending
    • 6.2.12 OTHER PRODUCT TYPES
  • 6.3 DEPLOYMENT MODE
    • 6.3.1 CLOUD
      • 6.3.1.1 Cloud deployment offers scalability, flexibility, and cost-efficiency
    • 6.3.2 ON-PREMISES
      • 6.3.2.1 On-premises deployment provides fast data processing and real-time analytics

7 AI IN FINANCE MARKET, BY TECHNOLOGY

  • 7.1 INTRODUCTION
    • 7.1.1 TECHNOLOGY: AI IN FINANCE MARKET DRIVERS
  • 7.2 GENERATIVE AI
    • 7.2.1 ENHANCES CUSTOMER ENGAGEMENT AND PROCESS AUTOMATION IN FINANCE
  • 7.3 OTHER AI TECHNOLOGIES
    • 7.3.1 NLP
      • 7.3.1.1 NLP boosts data analysis, automates interactions, and enhances compliance
    • 7.3.2 PREDICTIVE ANALYTICS
      • 7.3.2.1 AI-driven predictive analytics enables accurate forecasting

8 AI IN FINANCE MARKET, BY APPLICATION

  • 8.1 INTRODUCTION
    • 8.1.1 APPLICATION: AI IN FINANCE MARKET DRIVERS
  • 8.2 FINANCE AS BUSINESS OPERATIONS
    • 8.2.1 FRAUD DETECTION & PREVENTION
      • 8.2.1.1 AI-driven fraud detection enhances security and reduces financial losses
      • 8.2.1.2 Real-time transaction monitoring
      • 8.2.1.3 Customer data security
      • 8.2.1.4 Customer behavior analysis
      • 8.2.1.5 Trend analysis
      • 8.2.1.6 Others
    • 8.2.2 RISK MANAGEMENT
      • 8.2.2.1 AI-driven risk management enhances decision-making in finance
      • 8.2.2.2 Credit risk scoring
      • 8.2.2.3 Market volatility prediction
      • 8.2.2.4 Stress testing
      • 8.2.2.5 Others
    • 8.2.3 CUSTOMER SERVICE & ENGAGEMENT
      • 8.2.3.1 Customer service and engagement enhance personalization, leading to improved client satisfaction
      • 8.2.3.2 Chatbots/Virtual assistants for customer support
      • 8.2.3.3 Personalized financial product recommendations
      • 8.2.3.4 Market segmentation
      • 8.2.3.5 Personalized marketing messaging
      • 8.2.3.6 New customer acquisition
      • 8.2.3.7 Data-driven decision making
      • 8.2.3.8 Customer retention management
      • 8.2.3.9 Others
    • 8.2.4 FINANCIAL COMPLIANCE & REGULATORY REPORTING
      • 8.2.4.1 Financial compliance streamlines accuracy and efficiency in meeting standards
      • 8.2.4.2 Risk & compliance management
      • 8.2.4.3 Audit & reporting
      • 8.2.4.4 Others
    • 8.2.5 INVESTMENT & PORTFOLIO MANAGEMENT
      • 8.2.5.1 AI optimizes investment and portfolio management for smarter decision-making and improved returns
      • 8.2.5.2 Robo-advisors for wealth management
      • 8.2.5.3 Portfolio rebalancing
      • 8.2.5.4 Others
  • 8.3 FINANCE AS BUSINESS FUNCTIONS
    • 8.3.1 FINANCIAL PLANNING & FORECASTING
      • 8.3.1.1 Financial planning enhances accuracy and decision-making in finance
      • 8.3.1.2 Demand forecasting (CAPEX/OPEX)
      • 8.3.1.3 Cash flow forecasting
      • 8.3.1.4 Budgeting & expense management
      • 8.3.1.5 Scenario planning
      • 8.3.1.6 Others
    • 8.3.2 AUTOMATED BOOKKEEPING & RECONCILIATION
      • 8.3.2.1 Automated bookkeeping and reconciliation streamline financial processes and enhance accuracy
      • 8.3.2.2 Real-time ledger matching
      • 8.3.2.3 Invoice processing
      • 8.3.2.4 Variance detection
      • 8.3.2.5 Others
    • 8.3.3 PROCUREMENT & SUPPLY CHAIN FINANCE
      • 8.3.3.1 AI optimizes supply chain management by boosting efficiency and reducing costs
      • 8.3.3.2 Invoice discounting
      • 8.3.3.3 Supplier risk scoring
      • 8.3.3.4 Dynamic payments
      • 8.3.3.5 Payment automation
      • 8.3.3.6 Others
    • 8.3.4 REVENUE CYCLE MANAGEMENT
      • 8.3.4.1 Revenue cycle management automates processes and improves cash flow through enhanced accuracy in billing
      • 8.3.4.2 Payment optimization
      • 8.3.4.3 Subscription billing management
      • 8.3.4.4 Invoice settlements/Automated invoice processing
      • 8.3.4.5 Churn management
      • 8.3.4.6 Others

9 AI IN FINANCE MARKET, BY END USER

  • 9.1 INTRODUCTION
    • 9.1.1 END USER: AI IN FINANCE MARKET DRIVERS
  • 9.2 END USER
    • 9.2.1 FINANCE AS BUSINESS FUNCTIONS
      • 9.2.1.1 Government & public sector
        • 9.2.1.1.1 Strengthening governance and trust in AI in finance
      • 9.2.1.2 Retail & e-commerce
        • 9.2.1.2.1 Driving sales and satisfaction with AI-enhanced retail
      • 9.2.1.3 Real estate
        • 9.2.1.3.1 Revolutionizing real estate with AI-driven finance solutions
      • 9.2.1.4 Manufacturing
        • 9.2.1.4.1 Transforming financial processes of manufacturing sector for enhanced efficiency and growth
      • 9.2.1.5 Telecom & media
        • 9.2.1.5.1 Leveraging AI in telecom & media for optimized network management and enhanced service quality
      • 9.2.1.6 Healthcare & pharma
        • 9.2.1.6.1 AI provides enhanced and patient-centric solutions in finance
      • 9.2.1.7 Utilities
        • 9.2.1.7.1 AI transforms utilities sector by enhancing operational efficiency and improving predictive maintenance
      • 9.2.1.8 Education
        • 9.2.1.8.1 Harnessing AI to transform education finance by streamlining operations and enhancing financial literacy
      • 9.2.1.9 Technology & software
        • 9.2.1.9.1 Technology and software enable automation and improve decision-making processes
      • 9.2.1.10 Other end users
  • 9.3 FINANCE AS BUSINESS OPERATIONS
    • 9.3.1 BANKING
      • 9.3.1.1 AI enables better risk management and improves fraud detection
      • 9.3.1.2 Corporate & commercial banking
      • 9.3.1.3 Retail banking
      • 9.3.1.4 Investment banking
    • 9.3.2 INSURANCE
      • 9.3.2.1 AI automates claim processing, reduces fraud, and personalizes policies
    • 9.3.3 INVESTMENT & ASSET MANAGEMENT
      • 9.3.3.1 AI enhances decision-making and optimizes portfolio management
      • 9.3.3.2 Hedge funds
      • 9.3.3.3 Private equity
      • 9.3.3.4 Wealth management
    • 9.3.4 FINTECH
      • 9.3.4.1 AI in fintech automates tasks, improves data analysis, and provides real-time insights
      • 9.3.4.2 Blockchain & cryptocurrency providers
      • 9.3.4.3 Lending platform providers/specialty lenders
    • 9.3.5 CAPITAL MARKETS/REGTECH
      • 9.3.5.1 AI increases efficiency and reduces operational costs in capital markets

10 AI IN FINANCE MARKET, BY REGION

  • 10.1 INTRODUCTION
  • 10.2 NORTH AMERICA
    • 10.2.1 NORTH AMERICA: AI IN FINANCE MARKET DRIVERS
    • 10.2.2 NORTH AMERICA: MACROECONOMIC IMPACT
    • 10.2.3 US
      • 10.2.3.1 Transforming brands with AI-driven personalization in social media
    • 10.2.4 CANADA
      • 10.2.4.1 Accelerating AI adoption in finance through automation and digital transformation
  • 10.3 EUROPE
    • 10.3.1 EUROPE: AI IN FINANCE MARKET DRIVERS
    • 10.3.2 EUROPE: MACROECONOMIC IMPACT
    • 10.3.3 UK
      • 10.3.3.1 Leveraging automation and data analytics for enhanced decision-making and compliance
    • 10.3.4 GERMANY
      • 10.3.4.1 Focus on automation in risk management and personalized banking services to improve operational efficiency
    • 10.3.5 FRANCE
      • 10.3.5.1 Robust government initiatives promote innovation and establish frameworks encouraging AI technology adoption
    • 10.3.6 ITALY
      • 10.3.6.1 Promotion of digital transformation and rising investment in AI technologies across financial institutions
    • 10.3.7 SPAIN
      • 10.3.7.1 Increased funding and strategic partnerships to enhance AI collaboration in financial services
    • 10.3.8 REST OF EUROPE
  • 10.4 ASIA PACIFIC
    • 10.4.1 ASIA PACIFIC: AI IN FINANCE MARKET DRIVERS
    • 10.4.2 ASIA PACIFIC: MACROECONOMIC IMPACT
    • 10.4.3 CHINA
      • 10.4.3.1 Increasing focus on AI innovation for operational efficiency in financial sector to boost market
    • 10.4.4 JAPAN
      • 10.4.4.1 Partnerships between financial institutions and tech firms accelerate AI integration for improved financial solutions
    • 10.4.5 INDIA
      • 10.4.5.1 Increasing adoption of AI-powered solutions by financial institutions for risk management to drive market
    • 10.4.6 SOUTH KOREA
      • 10.4.6.1 Government support enhances financial services and boosts competitiveness in fintech sector
    • 10.4.7 AUSTRALIA & NEW ZEALAND
      • 10.4.7.1 Increasing adoption of AI by growing fintech companies to drive market
    • 10.4.8 ASEAN
      • 10.4.8.1 Increasing digitalization of banking services to drive market
    • 10.4.9 REST OF ASIA PACIFIC
  • 10.5 MIDDLE EAST & AFRICA
    • 10.5.1 MIDDLE EAST & AFRICA: AI IN FINANCE MARKET DRIVERS
    • 10.5.2 MIDDLE EAST & AFRICA: MACROECONOMIC IMPACT
    • 10.5.3 MIDDLE EAST
      • 10.5.3.1 KSA
        • 10.5.3.1.1 Government Vision 2030 initiative promoting digital transformation and AI adoption in financial services to drive market
      • 10.5.3.2 UAE
        • 10.5.3.2.1 Increased investments in AI-powered financial technologies to drive market
      • 10.5.3.3 Kuwait
        • 10.5.3.3.1 Growing focus on digital transformation to fuel AI adoption in finance market
      • 10.5.3.4 Bahrain
        • 10.5.3.4.1 Increasing adoption of AI technologies in banking sector to drive market
    • 10.5.4 AFRICA
      • 10.5.4.1 Increasing adoption of AI to enhance financial services to drive market
  • 10.6 LATIN AMERICA
    • 10.6.1 LATIN AMERICA: AI IN FINANCE MARKET DRIVERS
    • 10.6.2 LATIN AMERICA: MACROECONOMIC IMPACT
    • 10.6.3 BRAZIL
      • 10.6.3.1 Government support and investments in AI to drive market
    • 10.6.4 MEXICO
      • 10.6.4.1 Increased investment in fintech to drive AI adoption in finance market
    • 10.6.5 ARGENTINA
      • 10.6.5.1 Fintech expansion and innovation to propel market growth
    • 10.6.6 REST OF LATIN AMERICA

11 COMPETITIVE LANDSCAPE

  • 11.1 OVERVIEW
  • 11.2 KEY PLAYER STRATEGIES/RIGHT TO WIN, 2020-2024
  • 11.3 REVENUE ANALYSIS, 2019-2023
  • 11.4 MARKET SHARE ANALYSIS, 2023
    • 11.4.1 MARKET SHARE ANALYSIS OF KEY PLAYERS (FINANCE AS BUSINESS FUNCTIONS)
    • 11.4.2 MARKET RANKING ANALYSIS (FINANCE AS BUSINESS FUNCTIONS)
    • 11.4.3 MARKET SHARE ANALYSIS OF KEY PLAYERS (FINANCE AS BUSINESS OPERATIONS)
    • 11.4.4 MARKET RANKING ANALYSIS (FINANCE AS BUSINESS OPERATIONS)
  • 11.5 PRODUCT COMPARISON
    • 11.5.1 PRODUCT COMPARATIVE ANALYSIS, BY RISK ASSESSMENT
      • 11.5.1.1 ZAML (Zest Automated Machine Learning) (Zest AI)
      • 11.5.1.2 Kensho Risk (Kensho)
      • 11.5.1.3 C3 AI Risk Management (C3 AI)
      • 11.5.1.4 Finacle Treasury and Risk Management Solution (Infosys)
    • 11.5.2 PRODUCT COMPARATIVE ANALYSIS, BY FRAUD DETECTION & PREVENTION
      • 11.5.2.1 Socure ID+ (Socure)
      • 11.5.2.2 Dataminr Real-Time Risk Detection (Dataminr)
      • 11.5.2.3 Google Cloud (Google)
      • 11.5.2.4 Vectra Cognito (Vectra AI)
    • 11.5.3 PRODUCT COMPARATIVE ANALYSIS, BY CHATBOTS & PERSONAL ASSISTANTS
      • 11.5.3.1 AlphaSense Search Chatbot (AlphaSense)
      • 11.5.3.2 Oracle Digital Assistant (Oracle)
      • 11.5.3.3 Watson Assistant (IBM)
  • 11.6 COMPANY VALUATION AND FINANCIAL METRICS OF KEY VENDORS
  • 11.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023
    • 11.7.1 COMPANY EVALUATION MATRIX: KEY PLAYERS (FINANCE AS BUSINESS FUNCTIONS)
      • 11.7.1.1 Stars
      • 11.7.1.2 Emerging Leaders
      • 11.7.1.3 Pervasive Players
      • 11.7.1.4 Participants
    • 11.7.2 COMPANY EVALUATION MATRIX: KEY PLAYERS (FINANCE AS BUSINESS OPERATIONS)
      • 11.7.2.1 Stars
      • 11.7.2.2 Emerging Leaders
      • 11.7.2.3 Pervasive Players
      • 11.7.2.4 Participants
    • 11.7.3 COMPANY FOOTPRINT: KEY PLAYERS
      • 11.7.3.1 Company footprint
      • 11.7.3.2 Region footprint
      • 11.7.3.3 Product footprint
      • 11.7.3.4 Application footprint
      • 11.7.3.5 End user footprint
  • 11.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2023
    • 11.8.1 COMPANY EVALUATION MATRIX: STARTUPS/SMES (FINANCE AS BUSINESS OPERATIONS)
      • 11.8.1.1 Progressive companies
      • 11.8.1.2 Responsive companies
      • 11.8.1.3 Dynamic companies
      • 11.8.1.4 Starting blocks
    • 11.8.2 COMPANY EVALUATION MATRIX: STARTUPS/SMES (FINANCE AS BUSINESS FUNCTIONS)
      • 11.8.2.1 Progressive companies
      • 11.8.2.2 Responsive companies
      • 11.8.2.3 Dynamic companies
      • 11.8.2.4 Starting blocks
    • 11.8.3 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2023
      • 11.8.3.1 Detailed list of key startups/SMEs
      • 11.8.3.2 Competitive benchmarking of key startups/SMEs
  • 11.9 COMPETITIVE SCENARIO
    • 11.9.1 PRODUCT LAUNCHES AND ENHANCEMENTS
    • 11.9.2 DEALS

12 COMPANY PROFILES

  • 12.1 INTRODUCTION
  • 12.2 KEY PLAYERS
    • 12.2.1 FIS
      • 12.2.1.1 Business overview
      • 12.2.1.2 Products/Solutions/Services offered
      • 12.2.1.3 Recent developments
        • 12.2.1.3.1 Product launches and enhancements
        • 12.2.1.3.2 Deals
      • 12.2.1.4 MnM view
        • 12.2.1.4.1 Key strengths
        • 12.2.1.4.2 Strategic choices
        • 12.2.1.4.3 Weaknesses and competitive threats
    • 12.2.2 FISERV
      • 12.2.2.1 Business overview
      • 12.2.2.2 Products/Solutions/Services offered
      • 12.2.2.3 Recent developments
        • 12.2.2.3.1 Product launches and enhancements
        • 12.2.2.3.2 Deals
      • 12.2.2.4 MnM view
        • 12.2.2.4.1 Key strengths
        • 12.2.2.4.2 Strategic choices
        • 12.2.2.4.3 Weaknesses and competitive threats
    • 12.2.3 GOOGLE
      • 12.2.3.1 Business overview
      • 12.2.3.2 Products/Solutions/Services offered
      • 12.2.3.3 Recent developments
        • 12.2.3.3.1 Product launches and enhancements
        • 12.2.3.3.2 Deals
      • 12.2.3.4 MnM view
        • 12.2.3.4.1 Key strengths
        • 12.2.3.4.2 Strategic choices
        • 12.2.3.4.3 Weaknesses and competitive threats
    • 12.2.4 MICROSOFT
      • 12.2.4.1 Business overview
      • 12.2.4.2 Products/Solutions/Services offered
      • 12.2.4.3 Recent developments
        • 12.2.4.3.1 Product launches and enhancements
        • 12.2.4.3.2 Deals
      • 12.2.4.4 MnM view
        • 12.2.4.4.1 Key strengths
        • 12.2.4.4.2 Strategic choices
        • 12.2.4.4.3 Weaknesses and competitive threats
    • 12.2.5 ZOHO
      • 12.2.5.1 Business overview
      • 12.2.5.2 Products/Solutions/Services offered
      • 12.2.5.3 Recent developments
        • 12.2.5.3.1 Product launches and enhancements
        • 12.2.5.3.2 Deals
      • 12.2.5.4 MnM view
        • 12.2.5.4.1 Key strengths
        • 12.2.5.4.2 Strategic choices
        • 12.2.5.4.3 Weaknesses and competitive threats
    • 12.2.6 IBM
      • 12.2.6.1 Business overview
      • 12.2.6.2 Products/Solutions/Services offered
      • 12.2.6.3 Recent developments
        • 12.2.6.3.1 Product launches and enhancements
        • 12.2.6.3.2 Deals
    • 12.2.7 SOCURE
      • 12.2.7.1 Business overview
      • 12.2.7.2 Products/Solutions/Services offered
      • 12.2.7.3 Recent developments
        • 12.2.7.3.1 Deals
        • 12.2.7.3.2 Expansions
    • 12.2.8 WORKIVA
      • 12.2.8.1 Business overview
      • 12.2.8.2 Products/Solutions/Services offered
      • 12.2.8.3 Recent developments
        • 12.2.8.3.1 Deals
        • 12.2.8.3.2 Expansions
    • 12.2.9 PLAID
      • 12.2.9.1 Business overview
      • 12.2.9.2 Products/Solutions/Services offered
      • 12.2.9.3 Recent developments
        • 12.2.9.3.1 Deals
    • 12.2.10 C3 AI
      • 12.2.10.1 Business overview
      • 12.2.10.2 Products/Solutions/Services offered
      • 12.2.10.3 Recent developments
        • 12.2.10.3.1 Deals
    • 12.2.11 HIGHRADIUS
      • 12.2.11.1 Business overview
      • 12.2.11.2 Products/Solutions/Services offered
      • 12.2.11.3 Recent developments
        • 12.2.11.3.1 Product launches and enhancements
        • 12.2.11.3.2 Deals
    • 12.2.12 SAP
    • 12.2.13 AWS
    • 12.2.14 HPE
    • 12.2.15 ORACLE
    • 12.2.16 SALESFORCE
    • 12.2.17 INTEL
    • 12.2.18 NVIDIA
    • 12.2.19 NETAPP
    • 12.2.20 DATAROBOT
    • 12.2.21 ENOVA INTERNATIONAL
    • 12.2.22 ALPHASENSE
    • 12.2.23 OCROLUS
    • 12.2.24 VECTRA AI
    • 12.2.25 TERADATA
    • 12.2.26 PEGA
    • 12.2.27 VENA SOLUTIONS
    • 12.2.28 AFFIRM
    • 12.2.29 SYMPHONYAI
    • 12.2.30 ENVESTNET | YODLEE
  • 12.3 STARTUPS/SMES
    • 12.3.1 ADDEPTO
    • 12.3.2 DEEPER INSIGHTS
    • 12.3.3 H2O.AI
    • 12.3.4 APP0
    • 12.3.5 UNDERWRITE.AI
    • 12.3.6 DEEPGRAM
    • 12.3.7 EMAGIA
    • 12.3.8 INDATA LABS
    • 12.3.9 ZEST AI
    • 12.3.10 SCIENAPTIC AI
    • 12.3.11 GRADIENT AI
    • 12.3.12 KASISTO
    • 12.3.13 TRUMID
    • 12.3.14 DATAVISOR
    • 12.3.15 KAVOUT
    • 12.3.16 WEALTHBLOCK

13 ADJACENT AND RELATED MARKETS

  • 13.1 INTRODUCTION
  • 13.2 ARTIFICIAL INTELLIGENCE (AI) MARKET - GLOBAL FORECAST TO 2030
    • 13.2.1 MARKET DEFINITION
    • 13.2.2 MARKET OVERVIEW
      • 13.2.2.1 Artificial intelligence market, by offering
      • 13.2.2.2 Artificial intelligence market, by business function
      • 13.2.2.3 Artificial intelligence market, by technology
      • 13.2.2.4 Artificial intelligence market, by vertical
      • 13.2.2.5 Artificial intelligence market, by region
  • 13.3 NLP IN FINANCE MARKET - GLOBAL FORECAST TO 2028
    • 13.3.1 MARKET DEFINITION
    • 13.3.2 MARKET OVERVIEW
      • 13.3.2.1 NLP in finance market, by offering
      • 13.3.2.2 NLP in finance market, by application
      • 13.3.2.3 NLP in finance market, by technology
      • 13.3.2.4 NLP in finance market, by vertical
      • 13.3.2.5 NLP in finance market, by region

14 APPENDIX

  • 14.1 DISCUSSION GUIDE
  • 14.2 KNOWLEDGESTORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
  • 14.3 CUSTOMIZATION OPTIONS
  • 14.4 RELATED REPORTS
  • 14.5 AUTHOR DETAILS

List of Tables

  • TABLE 1 USD EXCHANGE RATES, 2019-2023
  • TABLE 2 PRIMARY INTERVIEWS
  • TABLE 3 FACTOR ANALYSIS
  • TABLE 4 AI IN FINANCE MARKET SIZE AND GROWTH RATE, 2019-2023 (USD MILLION, Y-O-Y %)
  • TABLE 5 AI IN FINANCE MARKET SIZE AND GROWTH RATE, 2024-2030 (USD MILLION, Y-O-Y %)
  • TABLE 6 ROLE OF COMPANIES IN ECOSYSTEM
  • TABLE 7 AI IN FINANCE MARKET: DETAILED LIST OF KEY CONFERENCES AND EVENTS, 2024-2025
  • TABLE 8 NORTH AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 9 EUROPE: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 10 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 11 MIDDLE EAST & AFRICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 12 LATIN AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 13 PATENTS FILED, 2013-2024
  • TABLE 14 AI IN FINANCE MARKET: LIST OF PATENTS GRANTED, 2023-2024
  • TABLE 15 AVERAGE SELLING PRICE OF KEY PLAYERS FOR TOP 3 APPLICATIONS
  • TABLE 16 AI IN FINANCE MARKET: INDICATIVE PRICING OF PRODUCT TYPES
  • TABLE 17 IMPACT OF PORTER'S FIVE FORCES ON AI IN FINANCE MARKET
  • TABLE 18 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP 3 APPLICATIONS
  • TABLE 19 KEY BUYING CRITERIA FOR TOP 3 APPLICATIONS
  • TABLE 20 AI IN FINANCE MARKET, BY PRODUCT, 2019-2023 (USD MILLION)
  • TABLE 21 AI IN FINANCE MARKET, BY PRODUCT, 2024-2030 (USD MILLION)
  • TABLE 22 ERP & FINANCIAL SYSTEMS: AI IN FINANCE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 23 ERP & FINANCIAL SYSTEMS: AI IN FINANCE MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 24 CHATBOTS & VIRTUAL ASSISTANTS: AI IN FINANCE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 25 CHATBOTS & VIRTUAL ASSISTANTS: AI IN FINANCE MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 26 AUTOMATED RECONCILIATION SOLUTIONS: AI IN FINANCE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 27 AUTOMATED RECONCILIATION SOLUTIONS: AI IN FINANCE MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 28 INTELLIGENT DOCUMENT PROCESSING: AI IN FINANCE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 29 INTELLIGENT DOCUMENT PROCESSING: AI IN FINANCE MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 30 GOVERNANCE, RISK, AND COMPLIANCE (GRC) SOFTWARE: AI IN FINANCE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 31 GOVERNANCE, RISK, AND COMPLIANCE (GRC) SOFTWARE: AI IN FINANCE MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 32 ACCOUNTS PAYABLE/RECEIVABLE AUTOMATION SOFTWARE: AI IN FINANCE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 33 ACCOUNTS PAYABLE/RECEIVABLE AUTOMATION SOFTWARE: AI IN FINANCE MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 34 ROBO-ADVISORS: AI IN FINANCE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 35 ROBO-ADVISORS: AI IN FINANCE MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 36 EXPENSE MANAGEMENT SYSTEMS: AI IN FINANCE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 37 EXPENSE MANAGEMENT SYSTEMS: AI IN FINANCE MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 38 COMPLIANCE AUTOMATION PLATFORMS: AI IN FINANCE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 39 COMPLIANCE AUTOMATION PLATFORMS: AI IN FINANCE MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 40 ALGORITHMIC TRADING PLATFORMS: AI IN FINANCE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 41 ALGORITHMIC TRADING PLATFORMS: AI IN FINANCE MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 42 UNDERWRITING ENGINES/PLATFORMS: AI IN FINANCE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 43 UNDERWRITING ENGINES/PLATFORMS: AI IN FINANCE MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 44 OTHER PRODUCT TYPES: AI IN FINANCE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 45 OTHER PRODUCT TYPES: AI IN FINANCE MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 46 AI IN FINANCE MARKET, BY DEPLOYMENT MODE, 2019-2023 (USD MILLION)
  • TABLE 47 AI IN FINANCE MARKET, BY DEPLOYMENT MODE, 2024-2030 (USD MILLION)
  • TABLE 48 CLOUD: AI IN FINANCE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 49 CLOUD: AI IN FINANCE MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 50 ON-PREMISES: AI IN FINANCE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 51 ON-PREMISES: AI IN FINANCE MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 52 AI IN FINANCE MARKET, BY TECHNOLOGY, 2019-2023 (USD MILLION)
  • TABLE 53 AI IN FINANCE MARKET, BY TECHNOLOGY, 2024-2030 (USD MILLION)
  • TABLE 54 GENERATIVE AI: AI IN FINANCE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 55 GENERATIVE AI: AI IN FINANCE MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 56 OTHER AI: AI IN FINANCE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 57 OTHER AI: AI IN FINANCE MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 58 AI IN FINANCE MARKET, BY APPLICATION (FINANCE AS BUSINESS OPERATIONS), 2019-2023 (USD MILLION)
  • TABLE 59 AI IN FINANCE MARKET, BY APPLICATION (FINANCE AS BUSINESS OPERATIONS), 2024-2030 (USD MILLION)
  • TABLE 60 FRAUD DETECTION & PREVENTION: AI IN FINANCE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 61 FRAUD DETECTION & PREVENTION: AI IN FINANCE MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 62 RISK MANAGEMENT: AI IN FINANCE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 63 RISK MANAGEMENT: AI IN FINANCE MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 64 CUSTOMER SERVICE & ENGAGEMENT: AI IN FINANCE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 65 CUSTOMER SERVICE & ENGAGEMENT: AI IN FINANCE MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 66 FINANCIAL COMPLIANCE & REGULATORY REPORTING: AI IN FINANCE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 67 FINANCIAL COMPLIANCE & REGULATORY REPORTING: AI IN FINANCE MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 68 INVESTMENT & PORTFOLIO MANAGEMENT: AI IN FINANCE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 69 INVESTMENT & PORTFOLIO MANAGEMENT: AI IN FINANCE MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 70 AI IN FINANCE MARKET, BY APPLICATION (FINANCE AS BUSINESS FUNCTIONS), 2019-2023 (USD MILLION)
  • TABLE 71 AI IN FINANCE MARKET, BY APPLICATION (FINANCE AS BUSINESS FUNCTIONS), 2024-2030 (USD MILLION)
  • TABLE 72 FINANCIAL PLANNING & FORECASTING: AI IN FINANCE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 73 FINANCIAL PLANNING & FORECASTING: AI IN FINANCE MARKET BY REGION, 2024-2030 (USD MILLION)
  • TABLE 74 AUTOMATED BOOKKEEPING & RECONCILIATION: AI IN FINANCE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 75 AUTOMATED BOOKKEEPING & RECONCILIATION: AI IN FINANCE MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 76 PROCUREMENT & SUPPLY CHAIN FINANCE: AI IN FINANCE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 77 PROCUREMENT & SUPPLY CHAIN FINANCE: AI IN FINANCE MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 78 REVENUE CYCLE MANAGEMENT: AI IN FINANCE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 79 REVENUE CYCLE MANAGEMENT: AI IN FINANCE MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 80 AI IN FINANCE MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 81 AI IN FINANCE MARKET, BY END USER, 2024-2030 (USD MILLION)
  • TABLE 82 FINANCE AS BUSINESS FUNCTIONS: AI IN FINANCE MARKET, BY TYPE, 2019-2023 (USD MILLION)
  • TABLE 83 FINANCE AS BUSINESS FUNCTIONS: AI IN FINANCE MARKET, BY TYPE, 2024-2030 (USD MILLION)
  • TABLE 84 FINANCE AS BUSINESS FUNCTIONS: AI IN FINANCE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 85 FINANCE AS BUSINESS FUNCTIONS: AI IN FINANCE MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 86 GOVERNMENT & PUBLIC SECTOR: AI IN FINANCE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 87 GOVERNMENT & PUBLIC SECTOR: AI IN FINANCE MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 88 RETAIL & E-COMMERCE: AI IN FINANCE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 89 RETAIL & E-COMMERCE: AI IN FINANCE MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 90 REAL ESTATE: AI IN FINANCE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 91 REAL ESTATE: AI IN FINANCE MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 92 MANUFACTURING: AI IN FINANCE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 93 MANUFACTURING: AI IN FINANCE MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 94 TELECOM & MEDIA: AI IN FINANCE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 95 TELECOM & MEDIA: AI IN FINANCE MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 96 HEALTHCARE & PHARMA: AI IN FINANCE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 97 HEALTHCARE & PHARMA: AI IN FINANCE MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 98 UTILITIES: AI IN FINANCE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 99 UTILITIES: AI IN FINANCE MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 100 EDUCATION: AI IN FINANCE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 101 EDUCATION: AI IN FINANCE MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 102 TECHNOLOGY & SOFTWARE: AI IN FINANCE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 103 TECHNOLOGY & SOFTWARE: AI IN FINANCE MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 104 OTHER END USERS: AI IN FINANCE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 105 OTHER END USERS: AI IN FINANCE MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 106 FINANCE AS BUSINESS OPERATIONS: AI IN FINANCE MARKET, BY TYPE, 2019-2023 (USD MILLION)
  • TABLE 107 FINANCE AS BUSINESS OPERATIONS: AI IN FINANCE MARKET, BY TYPE, 2024-2030 (USD MILLION)
  • TABLE 108 FINANCE AS BUSINESS OPERATIONS: AI IN FINANCE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 109 FINANCE AS BUSINESS OPERATIONS: AI IN FINANCE MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 110 BANKING: AI IN FINANCE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 111 BANKING: AI IN FINANCE MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 112 INSURANCE: AI IN FINANCE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 113 INSURANCE: AI IN FINANCE MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 114 INVESTMENT & ASSET MANAGEMENT: AI IN FINANCE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 115 INVESTMENT & ASSET MANAGEMENT: AI IN FINANCE MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 116 FINTECH: AI IN FINANCE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 117 FINTECH: AI IN FINANCE MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 118 CAPITAL MARKETS/REGTECH: AI IN FINANCE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 119 CAPITAL MARKETS/REGTECH: AI IN FINANCE MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 120 AI IN FINANCE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 121 AI IN FINANCE MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 122 NORTH AMERICA: AI IN FINANCE MARKET, BY PRODUCT, 2019-2023 (USD MILLION)
  • TABLE 123 NORTH AMERICA: AI IN FINANCE MARKET, BY PRODUCT, 2024-2030 (USD MILLION)
  • TABLE 124 NORTH AMERICA: AI IN FINANCE MARKET, BY DEPLOYMENT MODE, 2019-2023 (USD MILLION)
  • TABLE 125 NORTH AMERICA: AI IN FINANCE MARKET, BY DEPLOYMENT MODE, 2024-2030 (USD MILLION)
  • TABLE 126 NORTH AMERICA: AI IN FINANCE MARKET, BY TECHNOLOGY, 2019-2023 (USD MILLION)
  • TABLE 127 NORTH AMERICA: AI IN FINANCE MARKET, BY TECHNOLOGY, 2024-2030 (USD MILLION)
  • TABLE 128 NORTH AMERICA: AI IN FINANCE MARKET, BY APPLICATION (FINANCE AS BUSINESS OPERATIONS), 2019-2023 (USD MILLION)
  • TABLE 129 NORTH AMERICA: AI IN FINANCE MARKET, BY APPLICATION (FINANCE AS BUSINESS OPERATIONS), 2024-2030 (USD MILLION)
  • TABLE 130 NORTH AMERICA: AI IN FINANCE MARKET, BY APPLICATION (FINANCE AS BUSINESS FUNCTIONS), 2019-2023 (USD MILLION)
  • TABLE 131 NORTH AMERICA: AI IN FINANCE MARKET, BY APPLICATION (FINANCE AS BUSINESS FUNCTIONS), 2024-2030 (USD MILLION)
  • TABLE 132 NORTH AMERICA: AI IN FINANCE MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 133 NORTH AMERICA: AI IN FINANCE MARKET, BY END USER, 2024-2030 (USD MILLION)
  • TABLE 134 NORTH AMERICA: AI IN FINANCE MARKET, BY END USER (FINANCE AS BUSINESS FUNCTIONS), 2019-2023 (USD MILLION)
  • TABLE 135 NORTH AMERICA: AI IN FINANCE MARKET, BY END USER (FINANCE AS BUSINESS FUNCTIONS), 2024-2030 (USD MILLION)
  • TABLE 136 NORTH AMERICA: AI IN FINANCE MARKET, BY END USER (FINANCE AS BUSINESS OPERATIONS), 2019-2023 (USD MILLION)
  • TABLE 137 NORTH AMERICA: AI IN FINANCE MARKET, BY END USER (FINANCE AS BUSINESS OPERATIONS), 2024-2030 (USD MILLION)
  • TABLE 138 NORTH AMERICA: AI IN FINANCE MARKET, BY COUNTRY, 2019-2023 (USD MILLION)
  • TABLE 139 NORTH AMERICA: AI IN FINANCE MARKET, BY COUNTRY, 2024-2030 (USD MILLION)
  • TABLE 140 US: AI IN FINANCE MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 141 US: AI IN FINANCE MARKET, BY END USER, 2024-2030 (USD MILLION)
  • TABLE 142 CANADA: AI IN FINANCE MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 143 CANADA: AI IN FINANCE MARKET, BY END USER, 2024-2030 (USD MILLION)
  • TABLE 144 EUROPE: AI IN FINANCE MARKET, BY PRODUCT, 2019-2023 (USD MILLION)
  • TABLE 145 EUROPE: AI IN FINANCE MARKET, BY PRODUCT, 2024-2030 (USD MILLION)
  • TABLE 146 EUROPE: AI IN FINANCE MARKET, BY DEPLOYMENT MODE, 2019-2023 (USD MILLION)
  • TABLE 147 EUROPE: AI IN FINANCE MARKET, BY DEPLOYMENT MODE, 2024-2030 (USD MILLION)
  • TABLE 148 EUROPE: AI IN FINANCE MARKET, BY TECHNOLOGY, 2019-2023 (USD MILLION)
  • TABLE 149 EUROPE: AI IN FINANCE MARKET, BY TECHNOLOGY, 2024-2030 (USD MILLION)
  • TABLE 150 EUROPE: AI IN FINANCE MARKET, BY APPLICATION (FINANCE AS BUSINESS OPERATIONS), 2019-2023 (USD MILLION)
  • TABLE 151 EUROPE: AI IN FINANCE MARKET, BY APPLICATION (FINANCE AS BUSINESS OPERATIONS), 2024-2030 (USD MILLION)
  • TABLE 152 EUROPE: AI IN FINANCE MARKET, BY APPLICATION (FINANCE AS BUSINESS FUNCTIONS), 2019-2023 (USD MILLION)
  • TABLE 153 EUROPE: AI IN FINANCE MARKET, BY APPLICATION (FINANCE AS BUSINESS FUNCTIONS), 2024-2030 (USD MILLION)
  • TABLE 154 EUROPE: AI IN FINANCE MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 155 EUROPE: AI IN FINANCE MARKET, BY END USER, 2024-2030 (USD MILLION)
  • TABLE 156 EUROPE: AI IN FINANCE MARKET, BY END USER (FINANCE AS BUSINESS FUNCTIONS), 2019-2023 (USD MILLION)
  • TABLE 157 EUROPE: AI IN FINANCE MARKET, BY END USER (FINANCE AS BUSINESS FUNCTIONS), 2024-2030 (USD MILLION)
  • TABLE 158 EUROPE: AI IN FINANCE MARKET, BY END USER (FINANCE AS BUSINESS OPERATIONS), 2019-2023 (USD MILLION)
  • TABLE 159 EUROPE: AI IN FINANCE MARKET, BY END USER (FINANCE AS BUSINESS OPERATIONS), 2024-2030 (USD MILLION)
  • TABLE 160 EUROPE: AI IN FINANCE MARKET, BY COUNTRY, 2019-2023 (USD MILLION)
  • TABLE 161 EUROPE: AI IN FINANCE MARKET, BY COUNTRY, 2024-2030 (USD MILLION)
  • TABLE 162 UK: AI IN FINANCE MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 163 UK: AI IN FINANCE MARKET, BY END USER, 2024-2030 (USD MILLION)
  • TABLE 164 GERMANY: AI IN FINANCE MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 165 GERMANY: AI IN FINANCE MARKET, BY END USER, 2024-2030 (USD MILLION)
  • TABLE 166 FRANCE: AI IN FINANCE MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 167 FRANCE: AI IN FINANCE MARKET, BY END USER, 2024-2030 (USD MILLION)
  • TABLE 168 ITALY: AI IN FINANCE MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 169 ITALY: AI IN FINANCE MARKET, BY END USER, 2024-2030 (USD MILLION)
  • TABLE 170 SPAIN: AI IN FINANCE MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 171 SPAIN: AI IN FINANCE MARKET, BY END USER, 2024-2030 (USD MILLION)
  • TABLE 172 REST OF EUROPE: AI IN FINANCE MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 173 REST OF EUROPE: AI IN FINANCE MARKET, BY END USER, 2024-2030 (USD MILLION)
  • TABLE 174 ASIA PACIFIC: AI IN FINANCE MARKET, BY PRODUCT, 2019-2023 (USD MILLION)
  • TABLE 175 ASIA PACIFIC: AI IN FINANCE MARKET, BY PRODUCT, 2024-2030 (USD MILLION)
  • TABLE 176 ASIA PACIFIC: AI IN FINANCE MARKET, BY DEPLOYMENT MODE, 2019-2023 (USD MILLION)
  • TABLE 177 ASIA PACIFIC: AI IN FINANCE MARKET, BY DEPLOYMENT MODE, 2024-2030 (USD MILLION)
  • TABLE 178 ASIA PACIFIC: AI IN FINANCE MARKET, BY TECHNOLOGY, 2019-2023 (USD MILLION)
  • TABLE 179 ASIA PACIFIC: AI IN FINANCE MARKET, BY TECHNOLOGY, 2024-2030 (USD MILLION)
  • TABLE 180 ASIA PACIFIC: AI IN FINANCE MARKET, BY APPLICATION (FINANCE AS BUSINESS OPERATIONS), 2019-2023 (USD MILLION)
  • TABLE 181 ASIA PACIFIC: AI IN FINANCE MARKET, BY APPLICATION (FINANCE AS BUSINESS OPERATIONS), 2024-2030 (USD MILLION)
  • TABLE 182 ASIA PACIFIC: AI IN FINANCE MARKET, BY APPLICATION (FINANCE AS BUSINESS FUNCTIONS), 2019-2023 (USD MILLION)
  • TABLE 183 ASIA PACIFIC: AI IN FINANCE MARKET, BY APPLICATION (FINANCE AS BUSINESS FUNCTIONS), 2024-2030 (USD MILLION)
  • TABLE 184 ASIA PACIFIC: AI IN FINANCE MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 185 ASIA PACIFIC: AI IN FINANCE MARKET, BY END USER, 2024-2030 (USD MILLION)
  • TABLE 186 ASIA PACIFIC: AI IN FINANCE MARKET, BY END USER (FINANCE AS BUSINESS FUNCTIONS), 2019-2023 (USD MILLION)
  • TABLE 187 ASIA PACIFIC: AI IN FINANCE MARKET, BY END USER (FINANCE AS BUSINESS FUNCTIONS), 2024-2030 (USD MILLION)
  • TABLE 188 ASIA PACIFIC: AI IN FINANCE MARKET, BY END USER (FINANCE AS BUSINESS OPERATIONS), 2019-2023 (USD MILLION)
  • TABLE 189 ASIA PACIFIC: AI IN FINANCE MARKET, BY END USER (FINANCE AS BUSINESS OPERATIONS), 2024-2030 (USD MILLION)
  • TABLE 190 ASIA PACIFIC: AI IN FINANCE MARKET, BY COUNTRY, 2019-2023 (USD MILLION)
  • TABLE 191 ASIA PACIFIC: AI IN FINANCE MARKET, BY COUNTRY, 2024-2030 (USD MILLION)
  • TABLE 192 CHINA: AI IN FINANCE MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 193 CHINA: AI IN FINANCE MARKET, BY END USER, 2024-2030 (USD MILLION)
  • TABLE 194 JAPAN: AI IN FINANCE MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 195 JAPAN: AI IN FINANCE MARKET, BY END USER, 2024-2030 (USD MILLION)
  • TABLE 196 INDIA: AI IN FINANCE MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 197 INDIA: AI IN FINANCE MARKET, BY END USER, 2024-2030 (USD MILLION)
  • TABLE 198 SOUTH KOREA: AI IN FINANCE MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 199 SOUTH KOREA: AI IN FINANCE MARKET, BY END USER, 2024-2030 (USD MILLION)
  • TABLE 200 AUSTRALIA & NEW ZEALAND: AI IN FINANCE MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 201 AUSTRALIA & NEW ZEALAND: AI IN FINANCE MARKET, BY END USER, 2024-2030 (USD MILLION)
  • TABLE 202 ASEAN: AI IN FINANCE MARKET, BY COUNTRY, 2019-2023 (USD MILLION)
  • TABLE 203 ASEAN: AI IN FINANCE MARKET, BY COUNTRY, 2024-2030 (USD MILLION)
  • TABLE 204 ASEAN: AI IN FINANCE MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 205 ASEAN: AI IN FINANCE MARKET, BY END USER, 2024-2030 (USD MILLION)
  • TABLE 206 REST OF ASIA PACIFIC: AI IN FINANCE MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 207 REST OF ASIA PACIFIC: AI IN FINANCE MARKET, BY END USER, 2024-2030 (USD MILLION)
  • TABLE 208 MIDDLE EAST & AFRICA: AI IN FINANCE MARKET, BY PRODUCT, 2019-2023 (USD MILLION)
  • TABLE 209 MIDDLE EAST & AFRICA: AI IN FINANCE MARKET, BY PRODUCT, 2024-2030 (USD MILLION)
  • TABLE 210 MIDDLE EAST & AFRICA: AI IN FINANCE MARKET, BY DEPLOYMENT MODE, 2019-2023 (USD MILLION)
  • TABLE 211 MIDDLE EAST & AFRICA: AI IN FINANCE MARKET, BY DEPLOYMENT MODE, 2024-2030 (USD MILLION)
  • TABLE 212 MIDDLE EAST & AFRICA: AI IN FINANCE MARKET, BY TECHNOLOGY, 2019-2023 (USD MILLION)
  • TABLE 213 MIDDLE EAST & AFRICA: AI IN FINANCE MARKET, BY TECHNOLOGY, 2024-2030 (USD MILLION)
  • TABLE 214 MIDDLE EAST & AFRICA: AI IN FINANCE MARKET, BY APPLICATION (FINANCE AS BUSINESS OPERATIONS), 2019-2023 (USD MILLION)
  • TABLE 215 MIDDLE EAST & AFRICA: AI IN FINANCE MARKET, BY APPLICATION (FINANCE AS BUSINESS OPERATIONS), 2024-2030 (USD MILLION)
  • TABLE 216 MIDDLE EAST & AFRICA: AI IN FINANCE MARKET, BY APPLICATION (FINANCE AS BUSINESS FUNCTIONS), 2019-2023 (USD MILLION)
  • TABLE 217 MIDDLE EAST & AFRICA: AI IN FINANCE MARKET, BY APPLICATION (FINANCE AS BUSINESS FUNCTIONS), 2024-2030 (USD MILLION)
  • TABLE 218 MIDDLE EAST & AFRICA: AI IN FINANCE MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 219 MIDDLE EAST & AFRICA: AI IN FINANCE MARKET, BY END USER, 2024-2030 (USD MILLION)
  • TABLE 220 MIDDLE EAST & AFRICA: AI IN FINANCE MARKET, BY END USER (FINANCE AS BUSINESS FUNCTIONS), 2019-2023 (USD MILLION)
  • TABLE 221 MIDDLE EAST & AFRICA: AI IN FINANCE MARKET, BY END USER (FINANCE AS BUSINESS FUNCTIONS), 2024-2030 (USD MILLION)
  • TABLE 222 MIDDLE EAST & AFRICA: AI IN FINANCE MARKET, BY END USER (FINANCE AS BUSINESS OPERATIONS), 2019-2023 (USD MILLION)
  • TABLE 223 MIDDLE EAST & AFRICA: AI IN FINANCE MARKET, BY END USER (FINANCE AS BUSINESS OPERATIONS), 2024-2030 (USD MILLION)
  • TABLE 224 MIDDLE EAST & AFRICA: AI IN FINANCE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 225 MIDDLE EAST & AFRICA: AI IN FINANCE MARKET, BY REGION, 2024-2030 (USD MILLION)
  • TABLE 226 MIDDLE EAST: AI IN FINANCE MARKET, BY COUNTRY, 2019-2023 (USD MILLION)
  • TABLE 227 MIDDLE EAST: AI IN FINANCE MARKET, BY COUNTRY, 2024-2030 (USD MILLION)
  • TABLE 228 KSA: AI IN FINANCE MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 229 KSA: AI IN FINANCE MARKET, BY END USER, 2024-2030 (USD MILLION)
  • TABLE 230 UAE: AI IN FINANCE MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 231 UAE: AI IN FINANCE MARKET, BY END USER, 2024-2030 (USD MILLION)
  • TABLE 232 KUWAIT: AI IN FINANCE MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 233 KUWAIT: AI IN FINANCE MARKET, BY END USER, 2024-2030 (USD MILLION)
  • TABLE 234 BAHRAIN: AI IN FINANCE MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 235 BAHRAIN: AI IN FINANCE MARKET, BY END USER, 2024-2030 (USD MILLION)
  • TABLE 236 AFRICA: AI IN FINANCE MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 237 AFRICA: AI IN FINANCE MARKET, BY END USER, 2024-2030 (USD MILLION)
  • TABLE 238 LATIN AMERICA: AI IN FINANCE MARKET, BY PRODUCT, 2019-2023 (USD MILLION)
  • TABLE 239 LATIN AMERICA: AI IN FINANCE MARKET, BY PRODUCT, 2024-2030 (USD MILLION)
  • TABLE 240 LATIN AMERICA: AI IN FINANCE MARKET, BY DEPLOYMENT MODE, 2019-2023 (USD MILLION)
  • TABLE 241 LATIN AMERICA: AI IN FINANCE MARKET, BY DEPLOYMENT MODE, 2024-2030 (USD MILLION)
  • TABLE 242 LATIN AMERICA: AI IN FINANCE MARKET, BY TECHNOLOGY, 2019-2023 (USD MILLION)
  • TABLE 243 LATIN AMERICA: AI IN FINANCE MARKET, BY TECHNOLOGY, 2024-2030 (USD MILLION)
  • TABLE 244 LATIN AMERICA: AI IN FINANCE MARKET, BY APPLICATION (FINANCE AS BUSINESS OPERATIONS), 2019-2023 (USD MILLION)
  • TABLE 245 LATIN AMERICA: AI IN FINANCE MARKET, BY APPLICATION (FINANCE AS BUSINESS OPERATIONS), 2024-2030 (USD MILLION)
  • TABLE 246 LATIN AMERICA: AI IN FINANCE MARKET, BY APPLICATION (FINANCE AS BUSINESS FUNCTIONS), 2019-2023 (USD MILLION)
  • TABLE 247 LATIN AMERICA: AI IN FINANCE MARKET, BY APPLICATION (FINANCE AS BUSINESS FUNCTIONS), 2024-2030 (USD MILLION)
  • TABLE 248 LATIN AMERICA: AI IN FINANCE MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 249 LATIN AMERICA: AI IN FINANCE MARKET, BY END USER, 2024-2030 (USD MILLION)
  • TABLE 250 LATIN AMERICA: AI IN FINANCE MARKET, BY END USER (FINANCE AS BUSINESS FUNCTIONS), 2019-2023 (USD MILLION)
  • TABLE 251 LATIN AMERICA: AI IN FINANCE MARKET, BY END USER (FINANCE AS BUSINESS FUNCTIONS), 2024-2030 (USD MILLION)
  • TABLE 252 LATIN AMERICA: AI IN FINANCE MARKET, BY END USER (FINANCE AS BUSINESS OPERATIONS), 2019-2023 (USD MILLION)
  • TABLE 253 LATIN AMERICA: AI IN FINANCE MARKET, BY END USER (FINANCE AS BUSINESS OPERATIONS), 2024-2030 (USD MILLION)
  • TABLE 254 LATIN AMERICA: AI IN FINANCE MARKET, BY COUNTRY, 2019-2023 (USD MILLION)
  • TABLE 255 LATIN AMERICA: AI IN FINANCE MARKET, BY COUNTRY, 2024-2030 (USD MILLION)
  • TABLE 256 BRAZIL: AI IN FINANCE MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 257 BRAZIL: AI IN FINANCE MARKET, BY END USER, 2024-2030 (USD MILLION)
  • TABLE 258 MEXICO: AI IN FINANCE MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 259 MEXICO: AI IN FINANCE MARKET, BY END USER, 2024-2030 (USD MILLION)
  • TABLE 260 ARGENTINA: AI IN FINANCE MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 261 ARGENTINA: AI IN FINANCE MARKET, BY END USER, 2024-2030 (USD MILLION)
  • TABLE 262 REST OF LATIN AMERICA: AI IN FINANCE MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 263 REST OF LATIN AMERICA: AI IN FINANCE MARKET, BY END USER, 2024-2030 (USD MILLION)
  • TABLE 264 AI IN FINANCE MARKET: OVERVIEW OF STRATEGIES ADOPTED BY KEY VENDORS, 2020-2024
  • TABLE 265 AI IN FINANCE MARKET (FINANCE AS BUSINESS FUNCTIONS): DEGREE OF COMPETITION, 2023
  • TABLE 266 AI IN FINANCE MARKET (FINANCE AS BUSINESS OPERATIONS): DEGREE OF COMPETITION, 2023
  • TABLE 267 AI IN FINANCE MARKET: REGION FOOTPRINT
  • TABLE 268 AI IN FINANCE MARKET: PRODUCT FOOTPRINT
  • TABLE 269 AI IN FINANCE MARKET: APPLICATION FOOTPRINT (BUSINESS OPERATIONS)
  • TABLE 270 AI IN FINANCE MARKET: END USER FOOTPRINT (BUSINESS OPERATIONS)
  • TABLE 271 AI IN FINANCE MARKET: DETAILED LIST OF KEY STARTUPS/SMES
  • TABLE 272 AI IN FINANCE MARKET: COMPETITIVE BENCHMARKING OF STARTUPS/SMES
  • TABLE 273 AI IN FINANCE MARKET: PRODUCT LAUNCHES AND ENHANCEMENTS, JANUARY 2021-OCTOBER 2024
  • TABLE 274 AI IN FINANCE MARKET: DEALS, JANUARY 2021-OCTOBER 2024
  • TABLE 275 FIS: COMPANY OVERVIEW
  • TABLE 276 FIS: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 277 FIS: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 278 FIS: DEALS
  • TABLE 279 FISERV: COMPANY OVERVIEW
  • TABLE 280 FISERV: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 281 FISERV: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 282 FISERV: DEALS
  • TABLE 283 GOOGLE: COMPANY OVERVIEW
  • TABLE 284 GOOGLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 285 GOOGLE: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 286 GOOGLE: DEALS
  • TABLE 287 MICROSOFT: COMPANY OVERVIEW
  • TABLE 288 MICROSOFT: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 289 MICROSOFT: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 290 MICROSOFT: DEALS
  • TABLE 291 ZOHO: COMPANY OVERVIEW
  • TABLE 292 ZOHO: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 293 ZOHO: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 294 ZOHO: DEALS
  • TABLE 295 IBM: COMPANY OVERVIEW
  • TABLE 296 IBM: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 297 IBM: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 298 IBM: DEALS
  • TABLE 299 SOCURE: COMPANY OVERVIEW
  • TABLE 300 SOCURE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 301 SOCURE: DEALS
  • TABLE 302 SOCURE: EXPANSIONS
  • TABLE 303 WORKIVA: COMPANY OVERVIEW
  • TABLE 304 WORKIVA: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 305 WORKIVA: DEALS
  • TABLE 306 WORKIVA: EXPANSIONS
  • TABLE 307 PLAID: COMPANY OVERVIEW
  • TABLE 308 PLAID: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 309 PLAID: DEALS
  • TABLE 310 C3 AI: COMPANY OVERVIEW
  • TABLE 311 C3 AI: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 312 C3 AI: DEALS
  • TABLE 313 HIGHRADIUS: COMPANY OVERVIEW
  • TABLE 314 HIGHRADIUS: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 315 HIGHRADIUS: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 316 HIGHRADIUS: DEALS
  • TABLE 317 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2019-2023 (USD BILLION)
  • TABLE 318 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2024-2030 (USD BILLION)
  • TABLE 319 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2019-2023 (USD BILLION)
  • TABLE 320 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2024-2030 (USD BILLION)
  • TABLE 321 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2019-2023 (USD BILLION)
  • TABLE 322 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2024-2030 (USD BILLION)
  • TABLE 323 ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2019-2023 (USD BILLION)
  • TABLE 324 ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2024-2030 (USD BILLION)
  • TABLE 325 ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019-2023 (USD BILLION)
  • TABLE 326 ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2024-2030 (USD BILLION)
  • TABLE 327 NLP IN FINANCE MARKET, BY OFFERING, 2019-2022 (USD MILLION)
  • TABLE 328 NLP IN FINANCE MARKET, BY OFFERING, 2023-2028 (USD MILLION)
  • TABLE 329 NLP IN FINANCE MARKET, BY APPLICATION, 2019-2022 (USD MILLION)
  • TABLE 330 NLP IN FINANCE MARKET, BY APPLICATION, 2023-2028 (USD MILLION)
  • TABLE 331 NLP IN FINANCE MARKET, BY TECHNOLOGY, 2019-2022 (USD MILLION)
  • TABLE 332 NLP IN FINANCE MARKET, BY TECHNOLOGY, 2023-2028 (USD MILLION)
  • TABLE 333 NLP IN FINANCE MARKET, BY VERTICAL, 2019-2022 (USD MILLION)
  • TABLE 334 NLP IN FINANCE MARKET, BY VERTICAL, 2023-2028 (USD MILLION)
  • TABLE 335 NLP IN FINANCE MARKET, BY REGION, 2019-2022 (USD MILLION)
  • TABLE 336 NLP IN FINANCE MARKET, BY REGION, 2023-2028 (USD MILLION)

List of Figures

  • FIGURE 1 AI IN FINANCE MARKET: RESEARCH DESIGN
  • FIGURE 2 DATA TRIANGULATION
  • FIGURE 3 AI IN FINANCE MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES
  • FIGURE 4 APPROACH 1, BOTTOM-UP (SUPPLY-SIDE): REVENUE FROM SOFTWARE/SERVICES OF AI IN FINANCE MARKET
  • FIGURE 5 APPROACH 2, BOTTOM-UP (SUPPLY-SIDE): COLLECTIVE REVENUE FROM ALL SOFTWARE/SERVICES OF AI IN FINANCE MARKET
  • FIGURE 6 APPROACH 3, BOTTOM-UP (SUPPLY-SIDE): COLLECTIVE REVENUE FROM ALL PRODUCTS OF AI IN FINANCE MARKET
  • FIGURE 7 APPROACH 4, BOTTOM-UP (DEMAND-SIDE): SHARE OF AI IN FINANCE MARKET THROUGH OVERALL SPENDING
  • FIGURE 8 ALGORITHMIC TRADING PLATFORMS SEGMENT TO LEAD MARKET IN 2024
  • FIGURE 9 CLOUD SEGMENT TO DOMINATE MARKET IN 2024
  • FIGURE 10 OTHER AI TECHNOLOGIES SEGMENT TO DOMINATE MARKET IN 2024
  • FIGURE 11 FRAUD DETECTION & PREVENTION SEGMENT TO HOLD LARGEST MARKET SHARE IN 2024
  • FIGURE 12 FINANCIAL PLANNING & FORECASTING SEGMENT TO LEAD MARKET IN 2024
  • FIGURE 13 FINANCE AS BUSINESS OPERATIONS SEGMENT TO HAVE LARGER MARKET SHARE THAN FINANCE AS BUSINESS FUNCTIONS SEGMENT IN 2024
  • FIGURE 14 BANKING SEGMENT TO DOMINATE MARKET IN 2024
  • FIGURE 15 RETAIL & ECOMMERCE SEGMENT TO HOLD LARGEST MARKET SIZE IN 2024
  • FIGURE 16 ASIA PACIFIC TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 17 RISING DEMAND FOR PRECISE FORECASTS FOR STRATEGIC PLANNING AND INVESTMENT TO DRIVE MARKET
  • FIGURE 18 CUSTOMER SERVICE & ENGAGEMENT SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 19 CLOUD AND FINANCE AS BUSINESS OPERATIONS SEGMENTS TO HOLD LARGEST MARKET SHARES IN NORTH AMERICA IN 2024
  • FIGURE 20 NORTH AMERICA TO ACCOUNT FOR LARGEST MARKET SHARE IN 2024
  • FIGURE 21 AI IN FINANCE MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
  • FIGURE 22 EVOLUTION OF AI IN FINANCE MARKET
  • FIGURE 23 AI IN FINANCE MARKET: SUPPLY CHAIN ANALYSIS
  • FIGURE 24 AI IN FINANCE MARKET: ECOSYSTEM ANALYSIS
  • FIGURE 25 AI IN FINANCE MARKET: INVESTMENT AND FUNDING SCENARIO (USD MILLION AND NUMBER OF FUNDING ROUNDS)
  • FIGURE 26 NUMBER OF PATENTS GRANTED TO VENDORS IN LAST 10 YEARS
  • FIGURE 27 REGIONAL ANALYSIS OF PATENTS GRANTED, 2013-2024
  • FIGURE 28 AVERAGE SELLING PRICE OF KEY PLAYERS FOR TOP 3 APPLICATIONS
  • FIGURE 29 AI IN FINANCE MARKET: PORTER'S FIVE FORCES ANALYSIS
  • FIGURE 30 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
  • FIGURE 31 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP 3 APPLICATIONS
  • FIGURE 32 KEY BUYING CRITERIA FOR TOP 3 APPLICATIONS
  • FIGURE 33 MARKET POTENTIAL OF GENERATIVE AI TO ADVANCE AI IN FINANCE ACROSS KEY END USERS
  • FIGURE 34 COMPLIANCE AUTOMATION PLATFORMS SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 35 ON-PREMISES SEGMENT TO REGISTER HIGHER CAGR THAN CLOUD SEGMENT DURING FORECAST PERIOD
  • FIGURE 36 GENERATIVE AI SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 37 CUSTOMER SERVICE & ENGAGEMENT SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 38 AUTOMATED BOOKKEEPING & RECONCILIATION SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 39 FINANCE AS BUSINESS OPERATIONS SEGMENT TO REGISTER HIGHER CAGR THAN FINANCE AS BUSINESS FUNCTIONS SEGMENT DURING FORECAST PERIOD
  • FIGURE 40 HEALTHCARE & PHARMA SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 41 INVESTMENT & ASSET MANAGEMENT SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 42 INDIA TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 43 ASIA PACIFIC TO WITNESS HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 44 NORTH AMERICA: AI IN FINANCE MARKET SNAPSHOT
  • FIGURE 45 ASIA PACIFIC: AI IN FINANCE MARKET SNAPSHOT
  • FIGURE 46 AI IN FINANCE MARKET: REVENUE ANALYSIS OF FIVE KEY PLAYERS (FINANCE AS BUSINESS FUNCTIONS), 2019-2023
  • FIGURE 47 AI IN FINANCE MARKET: REVENUE ANALYSIS OF FIVE KEY PLAYERS (FINANCE AS BUSINESS OPERATIONS), 2019-2023
  • FIGURE 48 SHARE ANALYSIS OF LEADING COMPANIES IN AI IN FINANCE MARKET (FINANCE AS BUSINESS FUNCTIONS), 2023
  • FIGURE 49 SHARE ANALYSIS OF LEADING COMPANIES IN AI IN FINANCE MARKET (FINANCE AS BUSINESS OPERATIONS), 2023
  • FIGURE 50 PRODUCT COMPARATIVE ANALYSIS (FINANCE AS BUSINESS FUNCTIONS)
  • FIGURE 51 PRODUCT COMPARATIVE ANALYSIS (FINANCE AS BUSINESS OPERATIONS)
  • FIGURE 52 COMPANY VALUATION AND FINANCIAL METRICS OF KEY VENDORS
  • FIGURE 53 YEAR-TO-DATE (YTD) PRICE TOTAL RETURN AND 5-YEAR STOCK BETA OF KEY VENDORS
  • FIGURE 54 AI IN FINANCE MARKET: COMPANY EVALUATION MATRIX (KEY PLAYERS, FINANCE AS BUSINESS FUNCTIONS), 2023
  • FIGURE 55 AI IN FINANCE MARKET: COMPANY EVALUATION MATRIX (KEY PLAYERS, FINANCE AS BUSINESS OPERATIONS), 2023
  • FIGURE 56 AI IN FINANCE MARKET: COMPANY FOOTPRINT (1/2)
  • FIGURE 57 AI IN FINANCE MARKET: COMPANY FOOTPRINT (2/2)
  • FIGURE 58 AI IN FINANCE MARKET: COMPANY EVALUATION MATRIX (STARTUPS/SMES, FINANCE AS BUSINESS OPERATIONS), 2023
  • FIGURE 59 AI IN FINANCE MARKET: COMPANY EVALUATION MATRIX (STARTUPS/SMES, FINANCE AS BUSINESS FUNCTIONS), 2023
  • FIGURE 60 FIS: COMPANY SNAPSHOT
  • FIGURE 61 FISERV: COMPANY SNAPSHOT
  • FIGURE 62 GOOGLE: COMPANY SNAPSHOT
  • FIGURE 63 MICROSOFT: COMPANY SNAPSHOT
  • FIGURE 64 IBM: COMPANY SNAPSHOT
  • FIGURE 65 WORKIVA: COMPANY SNAPSHOT
  • FIGURE 66 C3 AI: COMPANY SNAPSHOT