金融市場におけるAI – 2030年までの世界予測

Report Overview

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.

金融市場における AI 市場は、2024 年の 383 億 6000 万米ドルから 2030 年までに 1,903 億 3000 万米ドルにまで成長すると予測されており、予測期間中の年間平均成長率 (CAGR) は 30.6% です。

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.

“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              37

1.1           STUDY OBJECTIVES       37

1.2           MARKET DEFINITION   37

1.2.1        INCLUSIONS AND EXCLUSIONS 38

1.3           MARKET SCOPE                39

1.3.1        MARKET SEGMENTATION           39

1.3.2        YEARS CONSIDERED      40

1.4           CURRENCY CONSIDERED            40

1.5           STAKEHOLDERS               41

2               RESEARCH METHODOLOGY       42

2.1           RESEARCH DATA              42

2.1.1        SECONDARY DATA          43

2.1.2        PRIMARY DATA 43

2.1.2.1    Breakup of primary profiles                44

2.1.2.2    Key industry insights           44

2.2           DATA TRIANGULATION                45

2.3           MARKET SIZE ESTIMATION         46

2.3.1        TOP-DOWN APPROACH                46

2.3.2        BOTTOM-UP APPROACH              47

2.4           MARKET FORECAST       50

2.5           RESEARCH ASSUMPTIONS           51

2.6           RISK ASSESSMENT           52

2.7           RESEARCH LIMITATIONS             53

3               EXECUTIVE SUMMARY  54

4               PREMIUM INSIGHTS       60

4.1           ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN AI IN FINANCE MARKET           60

4.2           AI IN FINANCE MARKET: TOP THREE APPLICATIONS                 61

4.3           NORTH AMERICA: AI IN FINANCE MARKET, BY DEPLOYMENT MODE AND END USER    61

4.4           AI IN FINANCE MARKET, BY REGION       62

5               MARKET OVERVIEW AND INDUSTRY TRENDS    63

5.1           INTRODUCTION              63

5.2           MARKET DYNAMICS       63

5.2.1        DRIVERS               64

5.2.1.1    Increasing demand for precise forecasts for strategic planning and investment     64

5.2.1.2    Growing adoption of AI algorithms to enhance risk detection and mitigation               65

5.2.1.3    Rising popularity of personalized financial services        65

5.2.2        RESTRAINTS      66

5.2.2.1    Concerns regarding bias and ethical data use  66

5.2.3        OPPORTUNITIES              66

5.2.3.1    Growing need for hyper-personalized financial products for long-term customer engagement and tailored services            66

5.2.3.2    Rising demand for accurate credit scoring and better risk management          66

5.2.4        CHALLENGES    67

5.2.4.1    Ensuring data security to prevent breaches or violations                 67

5.2.4.2    AI model complexity in finance          67

5.3           EVOLUTION OF AI IN FINANCE MARKET               68

5.4           SUPPLY CHAIN ANALYSIS             69

5.5           ECOSYSTEM ANALYSIS  70

5.5.1        FRAUD DETECTION & PREVENTION PROVIDERS                 73

5.5.2        RISK MANAGEMENT PROVIDERS              73

5.5.3        CUSTOMER SERVICE & ENGAGEMENT PROVIDERS                 73

5.5.4        FINANCIAL COMPLIANCE & REGULATORY REPORTING PROVIDERS        74

5.5.5        INVESTMENT & PORTFOLIO MANAGEMENT PROVIDERS        74

5.5.6        END USERS         74

5.6           CASE STUDY ANALYSIS 74

5.6.1        PAYPAL ENHANCES FRAUD DETECTION CAPABILITIES WITH H2O.AI’S DRIVERLESS AI SOLUTION           74

5.6.2        VENA SOLUTIONS TRANSFORMING FINANCIAL REPORTING AND PLANNING AT SHIFT4 PAYMENTS       75

5.6.3        INVESTA ENHANCES FUND REPORTING EFFICIENCY WITH WORKIVA’S STREAMLINED SOLUTIONS   76

5.6.4        DATAVISOR AND MICROSOFT AZURE COLLABORATE TO ENHANCE REAL-TIME FRAUD DETECTION  77

5.6.5        ZOHO EMPOWERS PLENTI WITH UNIFIED CRM SOLUTION TO ENHANCE CUSTOMER ENGAGEMENT AND OPERATIONAL EFFICIENCY        78

5.7           TECHNOLOGY ANALYSIS             79

5.7.1        KEY TECHNOLOGIES     79

5.7.1.1    NLP & deep learning           79

5.7.1.2    Computer vision   79

5.7.1.3    Predictive analytics               79

5.7.1.4    Robotic process automation (RPA)   80

5.7.1.5    Reinforcement learning       80

5.7.1.6    Explainable AI (XAI)           80

5.7.1.7    Anomaly detection                80

5.7.2        ADJACENT TECHNOLOGIES       81

5.7.2.1    Cybersecurity        81

5.7.2.2    IoT          81

5.7.2.3    AR/VR   81

5.7.2.4    Digital identity verification 81

5.7.3        COMPLEMENTARY TECHNOLOGIES       82

5.7.3.1    Cloud computing  82

5.7.3.2    Edge computing   82

5.7.3.3    Quantum computing            82

5.7.3.4    Big data analytics 82

5.7.3.5    Blockchain             83

5.8           KEY CONFERENCES AND EVENTS, 2024–2025        83

5.9           INVESTMENT AND FUNDING SCENARIO               84

5.10         REGULATORY LANDSCAPE         85

5.10.1      REGULATORY BODIES, GOVERNMENT AGENCIES, FRAMEWORKS, AND OTHER ORGANIZATIONS  85

5.10.2      REGULATORY LANDSCAPE, BY REGION                89

5.10.2.1  North America      89

5.10.2.1.1                US           89

5.10.2.1.2                Canada   90

5.10.2.2  Europe   90

5.10.2.2.1                EU           90

5.10.2.2.2                UK          90

5.10.2.3  Asia Pacific            90

5.10.2.3.1                Singapore               90

5.10.2.3.2                Hong Kong            90

5.10.2.3.3                China      90

5.10.2.3.4                South Korea           90

5.10.2.3.5                Taiwan   91

5.10.2.4  Middle East & Africa            91

5.10.2.4.1                UAE        91

5.10.2.4.2                South Africa           91

5.10.2.4.3                Israel       91

5.10.2.4.4                Saudi Arabia          91

5.10.2.5  Latin America       91

5.10.2.5.1                Brazil      91

5.10.2.5.2                Mexico   91

5.10.2.5.3                Chile       91

5.11         PATENT ANALYSIS          92

5.11.1      METHODOLOGY              92

5.11.2      PATENTS FILED, BY DOCUMENT TYPE  92

5.11.3      INNOVATIONS AND PATENT APPLICATIONS     93

5.12         PRICING ANALYSIS          97

5.12.1      AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY APPLICATION   97

5.12.2      INDICATIVE PRICING ANALYSIS, BY PRODUCT TYPE                 98

5.13         PORTER’S FIVE FORCES ANALYSIS           99

5.13.1      THREAT OF NEW ENTRANTS      100

5.13.2      THREAT OF SUBSTITUTES          100

5.13.3      BARGAINING POWER OF SUPPLIERS       100

5.13.4      BARGAINING POWER OF BUYERS             100

5.13.5      INTENSITY OF COMPETITIVE RIVALRY 100

5.14         TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS            101

5.15         KEY STAKEHOLDERS AND BUYING CRITERIA     102

5.15.1      KEY STAKEHOLDERS IN BUYING PROCESS           102

5.15.2      BUYING CRITERIA           103

5.16         IMPACT OF GENERATIVE AI ON AI IN FINANCE MARKET                 103

5.16.1      TOP USE CASES & MARKET POTENTIAL                 103

5.16.1.1  Key use cases         104

5.16.2      AUTOMATED FINANCIAL REPORTING  104

5.16.3      ENHANCED RISK MANAGEMENT              105

5.16.4      PERSONALIZED FINANCIAL SERVICES   105

5.16.5      STREAMLINED CUSTOMER INTERACTIONS        105

5.16.6      FRAUD DETECTION AND COMPLIANCE                105

5.16.7      INNOVATIVE FINANCIAL PLANNING      105

6               AI IN FINANCE MARKET, BY PRODUCT  106

6.1           INTRODUCTION              107

6.1.1        PRODUCT: AI IN FINANCE MARKET DRIVERS     107

6.2           TYPE     108

6.2.1        ERP AND FINANCIAL SYSTEMS  110

6.2.1.1    Real-time analytics and automated reporting for improved financial management          110

6.2.2        CHATBOTS & VIRTUAL ASSISTANTS       111

6.2.2.1    Enhancing operational efficiency and customer engagement in financial services  111

6.2.3        AUTOMATED RECONCILIATION SOLUTIONS     112

6.2.3.1    Boosting operational agility for swift transaction processing                 112

6.2.4        INTELLIGENT DOCUMENT PROCESSING              113

6.2.4.1    Reducing manual errors, enabling quick decision-making, and accelerating processing time               113

6.2.5        GOVERNANCE, RISK, AND COMPLIANCE (GRC) SOFTWARE         114

6.2.5.1    Facilitating seamless collaboration across departments 114

6.2.6        ACCOUNTS PAYABLE/RECEIVABLE AUTOMATION SOFTWARE         115

6.2.6.1    Providing real-time insights for informed financial decisions                 115

6.2.7        ROBO-ADVISORS             116

6.2.7.1    Providing automated investment management and financial advisory services   116

6.2.8        EXPENSE MANAGEMENT SYSTEMS          117

6.2.8.1    Streamlining financial operations and controlling costs 117

6.2.9        COMPLIANCE AUTOMATION PLATFORMS           118

6.2.9.1    Identifying compliance risks and enabling real-time alerts                 118

6.2.10      ALGORITHMIC TRADING PLATFORMS  119

6.2.10.1  Automating trade execution and responding to market fluctuations            119

6.2.11      UNDERWRITING ENGINES/PLATFORMS               120

6.2.11.1  Expediting loan approvals and promoting fair lending   120

6.2.12      OTHER PRODUCT TYPES             121

6.3           DEPLOYMENT MODE    123

6.3.1        CLOUD 124

6.3.1.1    Cloud deployment offers scalability, flexibility, and cost-efficiency                124

6.3.2        ON-PREMISES   125

6.3.2.1    On-premises deployment provides fast data processing and real-time analytics        125

7               AI IN FINANCE MARKET, BY TECHNOLOGY         126

7.1           INTRODUCTION              127

7.1.1        TECHNOLOGY: AI IN FINANCE MARKET DRIVERS                 127

7.2           GENERATIVE AI                129

7.2.1        ENHANCES CUSTOMER ENGAGEMENT AND PROCESS AUTOMATION IN FINANCE         129

7.3           OTHER AI TECHNOLOGIES         130

7.3.1        NLP        130

7.3.1.1    NLP boosts data analysis, automates interactions, and enhances compliance             130

7.3.2        PREDICTIVE ANALYTICS               130

7.3.2.1    AI-driven predictive analytics enables accurate forecasting                 130

8               AI IN FINANCE MARKET, BY APPLICATION           132

8.1           INTRODUCTION              133

8.1.1        APPLICATION: AI IN FINANCE MARKET DRIVERS                 133

8.2           FINANCE AS BUSINESS OPERATIONS      133

8.2.1        FRAUD DETECTION & PREVENTION       135

8.2.1.1    AI-driven fraud detection enhances security and reduces financial losses      135

8.2.1.2    Real-time transaction monitoring      136

8.2.1.3    Customer data security        136

8.2.1.4    Customer behavior analysis                 136

8.2.1.5    Trend analysis       137

8.2.1.6    Others    137

8.2.2        RISK MANAGEMENT       137

8.2.2.1    AI-driven risk management enhances decision-making in finance                 137

8.2.2.2    Credit risk scoring                138

8.2.2.3    Market volatility prediction 139

8.2.2.4    Stress testing         139

8.2.2.5    Others    139

8.2.3        CUSTOMER SERVICE & ENGAGEMENT  140

8.2.3.1    Customer service and engagement enhance personalization, leading to improved client satisfaction              140

8.2.3.2    Chatbots/Virtual assistants for customer support           141

8.2.3.3    Personalized financial product recommendations           141

8.2.3.4    Market segmentation           141

8.2.3.5    Personalized marketing messaging    141

8.2.3.6    New customer acquisition   142

8.2.3.7    Data-driven decision making              142

8.2.3.8    Customer retention management      142

8.2.3.9    Others    142

8.2.4        FINANCIAL COMPLIANCE & REGULATORY REPORTING                 143

8.2.4.1    Financial compliance streamlines accuracy and efficiency in meeting standards                 143

8.2.4.2    Risk & compliance management        144

8.2.4.3    Audit & reporting 144

8.2.4.4    Others    144

8.2.5        INVESTMENT & PORTFOLIO MANAGEMENT      145

8.2.5.1    AI optimizes investment and portfolio management for smarter decision-making and improved returns             145

8.2.5.2    Robo-advisors for wealth management             146

8.2.5.3    Portfolio rebalancing            146

8.2.5.4    Others    146

8.3           FINANCE AS BUSINESS FUNCTIONS         147

8.3.1        FINANCIAL PLANNING & FORECASTING               148

8.3.1.1    Financial planning enhances accuracy and decision-making in finance   148

8.3.1.2    Demand forecasting (CAPEX/OPEX)              149

8.3.1.3    Cash flow forecasting           149

8.3.1.4    Budgeting & expense management   149

8.3.1.5    Scenario planning 150

8.3.1.6    Others    150

8.3.2        AUTOMATED BOOKKEEPING & RECONCILIATION                 150

8.3.2.1    Automated bookkeeping and reconciliation streamline financial processes and enhance accuracy        150

8.3.2.2    Real-time ledger matching  151

8.3.2.3    Invoice processing                151

8.3.2.4    Variance detection                152

8.3.2.5    Others    152

8.3.3        PROCUREMENT & SUPPLY CHAIN FINANCE        152

8.3.3.1    AI optimizes supply chain management by boosting efficiency and reducing costs                152

8.3.3.2    Invoice discounting              153

8.3.3.3    Supplier risk scoring             153

8.3.3.4    Dynamic payments               154

8.3.3.5    Payment automation            154

8.3.3.6    Others    154

8.3.4        REVENUE CYCLE MANAGEMENT              154

8.3.4.1    Revenue cycle management automates processes and improves cash flow through enhanced accuracy in billing               154

8.3.4.2    Payment optimization          155

8.3.4.3    Subscription billing management       155

8.3.4.4    Invoice settlements/Automated invoice processing        156

8.3.4.5    Churn management              156

8.3.4.6    Others    156

9               AI IN FINANCE MARKET, BY END USER  157

9.1           INTRODUCTION              158

9.1.1        END USER: AI IN FINANCE MARKET DRIVERS      158

9.2           END USER            159

9.2.1        FINANCE AS BUSINESS FUNCTIONS         160

9.2.1.1    Government & public sector               163

9.2.1.1.1 Strengthening governance and trust in AI in finance     163

9.2.1.2    Retail & e-commerce            164

9.2.1.2.1 Driving sales and satisfaction with AI-enhanced retail  164

9.2.1.3    Real estate              165

9.2.1.3.1 Revolutionizing real estate with AI-driven finance solutions                 165

9.2.1.4    Manufacturing      166

9.2.1.4.1 Transforming financial processes of manufacturing sector for enhanced efficiency and growth         166

9.2.1.5    Telecom & media 167

9.2.1.5.1 Leveraging AI in telecom & media for optimized network management and enhanced service quality      167

9.2.1.6    Healthcare & pharma           168

9.2.1.6.1 AI provides enhanced and patient-centric solutions in finance                 168

9.2.1.7    Utilities  169

9.2.1.7.1 AI transforms utilities sector by enhancing operational efficiency and improving predictive maintenance             169

9.2.1.8    Education               170

9.2.1.8.1 Harnessing AI to transform education finance by streamlining operations and enhancing financial literacy     170

9.2.1.9    Technology & software        171

9.2.1.9.1 Technology and software enable automation and improve decision-making processes 171

9.2.1.10  Other end users    172

9.3           FINANCE AS BUSINESS OPERATIONS      173

9.3.1        BANKING             175

9.3.1.1    AI enables better risk management and improves fraud detection                 175

9.3.1.2    Corporate & commercial banking      176

9.3.1.3    Retail banking       176

9.3.1.4    Investment banking              176

9.3.2        INSURANCE        177

9.3.2.1    AI automates claim processing, reduces fraud, and personalizes policies   177

9.3.3        INVESTMENT & ASSET MANAGEMENT  178

9.3.3.1    AI enhances decision-making and optimizes portfolio management          178

9.3.3.2    Hedge funds          179

9.3.3.3    Private equity        179

9.3.3.4    Wealth management             179

9.3.4        FINTECH              179

9.3.4.1    AI in fintech automates tasks, improves data analysis, and provides real-time insights 179

9.3.4.2    Blockchain & cryptocurrency providers            180

9.3.4.3    Lending platform providers/specialty lenders 180

9.3.5        CAPITAL MARKETS/REGTECH   181

9.3.5.1    AI increases efficiency and reduces operational costs in capital markets  181

10            AI IN FINANCE MARKET, BY REGION       182

10.1         INTRODUCTION              183

10.2         NORTH AMERICA             184

10.2.1      NORTH AMERICA: AI IN FINANCE MARKET DRIVERS                 185

10.2.2      NORTH AMERICA: MACROECONOMIC IMPACT 185

10.2.3      US           193

10.2.3.1  Transforming brands with AI-driven personalization in social media      193

10.2.4      CANADA               194

10.2.4.1  Accelerating AI adoption in finance through automation and digital transformation           194

10.3         EUROPE               195

10.3.1      EUROPE: AI IN FINANCE MARKET DRIVERS          195

10.3.2      EUROPE: MACROECONOMIC IMPACT    196

10.3.3      UK          203

10.3.3.1  Leveraging automation and data analytics for enhanced decision-making and compliance       203

10.3.4      GERMANY           204

10.3.4.1  Focus on automation in risk management and personalized banking services to improve operational efficiency         204

10.3.5      FRANCE                205

10.3.5.1  Robust government initiatives promote innovation and establish frameworks encouraging AI technology adoption           205

10.3.6      ITALY    206

10.3.6.1  Promotion of digital transformation and rising investment in AI technologies across financial institutions          206

10.3.7      SPAIN    207

10.3.7.1  Increased funding and strategic partnerships to enhance AI collaboration in financial services      207

10.3.8      REST OF EUROPE             208

10.4         ASIA PACIFIC     209

10.4.1      ASIA PACIFIC: AI IN FINANCE MARKET DRIVERS                 209

10.4.2      ASIA PACIFIC: MACROECONOMIC IMPACT          210

10.4.3      CHINA  218

10.4.3.1  Increasing focus on AI innovation for operational efficiency in financial sector to boost market         218

10.4.4      JAPAN   219

10.4.4.1  Partnerships between financial institutions and tech firms accelerate AI integration for improved financial solutions             219

10.4.5      INDIA    220

10.4.5.1  Increasing adoption of AI-powered solutions by financial institutions for risk management to drive market            220

10.4.6      SOUTH KOREA  221

10.4.6.1  Government support enhances financial services and boosts competitiveness in fintech sector       221

10.4.7      AUSTRALIA & NEW ZEALAND     222

10.4.7.1  Increasing adoption of AI by growing fintech companies to drive market    222

10.4.8      ASEAN  223

10.4.8.1  Increasing digitalization of banking services to drive market                 223

10.4.9      REST OF ASIA PACIFIC   224

10.5         MIDDLE EAST & AFRICA                225

10.5.1      MIDDLE EAST & AFRICA: AI IN FINANCE MARKET DRIVERS               226

10.5.2      MIDDLE EAST & AFRICA: MACROECONOMIC IMPACT                 226

10.5.3      MIDDLE EAST   234

10.5.3.1  KSA        235

10.5.3.1.1                Government Vision 2030 initiative promoting digital transformation and AI adoption in financial services to drive market                 235

10.5.3.2  UAE        236

10.5.3.2.1                Increased investments in AI-powered financial technologies to drive market               236

10.5.3.3  Kuwait    237

10.5.3.3.1                Growing focus on digital transformation to fuel AI adoption in finance market 237

10.5.3.4  Bahrain  238

10.5.3.4.1                Increasing adoption of AI technologies in banking sector to drive market      238

10.5.4      AFRICA 239

10.5.4.1  Increasing adoption of AI to enhance financial services to drive market    239

10.6         LATIN AMERICA                240

10.6.1      LATIN AMERICA: AI IN FINANCE MARKET DRIVERS                 240

10.6.2      LATIN AMERICA: MACROECONOMIC IMPACT    241

10.6.3      BRAZIL 247

10.6.3.1  Government support and investments in AI to drive market                 247

10.6.4      MEXICO                248

10.6.4.1  Increased investment in fintech to drive AI adoption in finance market    248

10.6.5      ARGENTINA       249

10.6.5.1  Fintech expansion and innovation to propel market growth                 249

10.6.6      REST OF LATIN AMERICA             250

11            COMPETITIVE LANDSCAPE         252

11.1         OVERVIEW          252

11.2         KEY PLAYER STRATEGIES/RIGHT TO WIN, 2020–2024                 252

11.3         REVENUE ANALYSIS, 2019–2023  256

11.4         MARKET SHARE ANALYSIS, 2023                 257

11.4.1      MARKET SHARE ANALYSIS OF KEY PLAYERS (FINANCE AS BUSINESS FUNCTIONS)           257

11.4.2      MARKET RANKING ANALYSIS (FINANCE AS BUSINESS FUNCTIONS)     258

11.4.3      MARKET SHARE ANALYSIS OF KEY PLAYERS (FINANCE AS BUSINESS OPERATIONS)        259

11.4.4      MARKET RANKING ANALYSIS (FINANCE AS BUSINESS OPERATIONS)   260

11.5         PRODUCT COMPARISON              262

11.5.1      PRODUCT COMPARATIVE ANALYSIS, BY RISK ASSESSMENT     263

11.5.1.1  ZAML (Zest Automated Machine Learning) (Zest AI) 263

11.5.1.2  Kensho Risk (Kensho)         264

11.5.1.3  C3 AI Risk Management (C3 AI)      264

11.5.1.4  Finacle Treasury and Risk Management Solution (Infosys)                 264

11.5.2      PRODUCT COMPARATIVE ANALYSIS, BY FRAUD DETECTION & PREVENTION      264

11.5.2.1  Socure ID+ (Socure)           264

11.5.2.2  Dataminr Real-Time Risk Detection (Dataminr)           265

11.5.2.3  Google Cloud (Google)       265

11.5.2.4  Vectra Cognito (Vectra AI)                 265

11.5.3      PRODUCT COMPARATIVE ANALYSIS, BY CHATBOTS & PERSONAL ASSISTANTS                265

11.5.3.1  AlphaSense Search Chatbot (AlphaSense)       265

11.5.3.2  Oracle Digital Assistant (Oracle)      266

11.5.3.3  Watson Assistant (IBM)     266

11.6         COMPANY VALUATION AND FINANCIAL METRICS OF KEY VENDORS  266

11.7         COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023                 267

11.7.1      COMPANY EVALUATION MATRIX: KEY PLAYERS

(FINANCE AS BUSINESS FUNCTIONS)     267

11.7.1.1  Stars        267

11.7.1.2  Emerging Leaders                 267

11.7.1.3  Pervasive Players  268

11.7.1.4  Participants           268

11.7.2      COMPANY EVALUATION MATRIX: KEY PLAYERS

(FINANCE AS BUSINESS OPERATIONS)  269

11.7.2.1  Stars        269

11.7.2.2  Emerging Leaders                 269

11.7.2.3  Pervasive Players  269

11.7.2.4  Participants           269

11.7.3      COMPANY FOOTPRINT: KEY PLAYERS   271

11.7.3.1  Company footprint               271

11.7.3.2  Region footprint   272

11.7.3.3  Product footprint  273

11.7.3.4  Application footprint            274

11.7.3.5  End user footprint                 276

11.8         COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2023        277

11.8.1      COMPANY EVALUATION MATRIX: STARTUPS/SMES

(FINANCE AS BUSINESS OPERATIONS)  277

11.8.1.1  Progressive companies        277

11.8.1.2  Responsive companies         277

11.8.1.3  Dynamic companies             277

11.8.1.4  Starting blocks      278

11.8.2      COMPANY EVALUATION MATRIX: STARTUPS/SMES

(FINANCE AS BUSINESS FUNCTIONS)     279

11.8.2.1  Progressive companies        279

11.8.2.2  Responsive companies         279

11.8.2.3  Dynamic companies             279

11.8.2.4  Starting blocks      279

11.8.3      COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2023                 281

11.8.3.1  Detailed list of key startups/SMEs    281

11.8.3.2  Competitive benchmarking of key startups/SMEs          282

11.9         COMPETITIVE SCENARIO             283

11.9.1      PRODUCT LAUNCHES AND ENHANCEMENTS    283

11.9.2      DEALS  285

12            COMPANY PROFILES      288

12.1         INTRODUCTION              288

12.2         KEY PLAYERS     288

12.2.1      FIS          288

12.2.1.1  Business overview 288

12.2.1.2  Products/Solutions/Services offered 290

12.2.1.3  Recent developments           291

12.2.1.3.1                Product launches and enhancements                 291

12.2.1.3.2                Deals      292

12.2.1.4  MnM view              293

12.2.1.4.1                Key strengths        293

12.2.1.4.2                Strategic choices   293

12.2.1.4.3                Weaknesses and competitive threats 294

12.2.2      FISERV  295

12.2.2.1  Business overview 295

12.2.2.2  Products/Solutions/Services offered 296

12.2.2.3  Recent developments           298

12.2.2.3.1                Product launches and enhancements                 298

12.2.2.3.2                Deals      298

12.2.2.4  MnM view              299

12.2.2.4.1                Key strengths        299

12.2.2.4.2                Strategic choices   299

12.2.2.4.3                Weaknesses and competitive threats 299

12.2.3      GOOGLE              300

12.2.3.1  Business overview 300

12.2.3.2  Products/Solutions/Services offered 301

12.2.3.3  Recent developments           302

12.2.3.3.1                Product launches and enhancements                 302

12.2.3.3.2                Deals      303

12.2.3.4  MnM view              304

12.2.3.4.1                Key strengths        304

12.2.3.4.2                Strategic choices   304

12.2.3.4.3                Weaknesses and competitive threats 304

12.2.4      MICROSOFT       305

12.2.4.1  Business overview 305

12.2.4.2  Products/Solutions/Services offered 307

12.2.4.3  Recent developments           308

12.2.4.3.1                Product launches and enhancements                 308

12.2.4.3.2                Deals      309

12.2.4.4  MnM view              310

12.2.4.4.1                Key strengths        310

12.2.4.4.2                Strategic choices   310

12.2.4.4.3                Weaknesses and competitive threats 310

12.2.5      ZOHO   311

12.2.5.1  Business overview 311

12.2.5.2  Products/Solutions/Services offered 311

12.2.5.3  Recent developments           313

12.2.5.3.1                Product launches and enhancements                 313

12.2.5.3.2                Deals      315

12.2.5.4  MnM view              315

12.2.5.4.1                Key strengths        315

12.2.5.4.2                Strategic choices   315

12.2.5.4.3                Weaknesses and competitive threats 315

12.2.6      IBM        316

12.2.6.1  Business overview 316

12.2.6.2  Products/Solutions/Services offered 317

12.2.6.3  Recent developments           318

12.2.6.3.1                Product launches and enhancements                 318

12.2.6.3.2                Deals      319

12.2.7      SOCURE                320

12.2.7.1  Business overview 320

12.2.7.2  Products/Solutions/Services offered 320

12.2.7.3  Recent developments           321

12.2.7.3.1                Deals      321

12.2.7.3.2                Expansions             322

12.2.8      WORKIVA            323

12.2.8.1  Business overview 323

12.2.8.2  Products/Solutions/Services offered 324

12.2.8.3  Recent developments           326

12.2.8.3.1                Deals      326

12.2.8.3.2                Expansions             326

12.2.9      PLAID   327

12.2.9.1  Business overview 327

12.2.9.2  Products/Solutions/Services offered 327

12.2.9.3  Recent developments           328

12.2.9.3.1                Deals      328

12.2.10   C3 AI      330

12.2.10.1                 Business overview 330

12.2.10.2                 Products/Solutions/Services offered 331

12.2.10.3                 Recent developments           333

12.2.10.3.1             Deals      333

12.2.11   HIGHRADIUS     334

12.2.11.1                 Business overview 334

12.2.11.2                 Products/Solutions/Services offered 334

12.2.11.3                 Recent developments           336

12.2.11.3.1             Product launches and enhancements                 336

12.2.11.3.2             Deals      336

12.2.12   SAP         337

12.2.13   AWS       338

12.2.14   HPE        339

12.2.15   ORACLE                340

12.2.16   SALESFORCE      341

12.2.17   INTEL   342

12.2.18   NVIDIA 343

12.2.19   NETAPP                344

12.2.20   DATAROBOT     345

12.2.21   ENOVA INTERNATIONAL             345

12.2.22   ALPHASENSE     346

12.2.23   OCROLUS            346

12.2.24   VECTRA AI          347

12.2.25   TERADATA         348

12.2.26   PEGA     348

12.2.27   VENA SOLUTIONS           349

12.2.28   AFFIRM 350

12.2.29   SYMPHONYAI    351

12.2.30   ENVESTNET | YODLEE  352

12.3         STARTUPS/SMES              353

12.3.1      ADDEPTO           353

12.3.2      DEEPER INSIGHTS           354

12.3.3      H2O.AI  354

12.3.4      APP0      355

12.3.5      UNDERWRITE.AI              356

12.3.6      DEEPGRAM        357

12.3.7      EMAGIA                358

12.3.8      INDATA LABS    359

12.3.9      ZEST AI 360

12.3.10   SCIENAPTIC AI  361

12.3.11   GRADIENT AI     362

12.3.12   KASISTO               363

12.3.13   TRUMID               364

12.3.14   DATAVISOR        365

12.3.15   KAVOUT               366

12.3.16   WEALTHBLOCK                367

13            ADJACENT AND RELATED MARKETS      368

13.1         INTRODUCTION              368

13.2         ARTIFICIAL INTELLIGENCE (AI) MARKET – GLOBAL FORECAST TO 2030          368

13.2.1      MARKET DEFINITION   368

13.2.2      MARKET OVERVIEW       368

13.2.2.1  Artificial intelligence market, by offering         369

13.2.2.2  Artificial intelligence market, by business function        371

13.2.2.3  Artificial intelligence market, by technology    372

13.2.2.4  Artificial intelligence market, by vertical          373

13.2.2.5  Artificial intelligence market, by region            375

13.3         NLP IN FINANCE MARKET – GLOBAL FORECAST TO 2028                 376

13.3.1      MARKET DEFINITION   376

13.3.2      MARKET OVERVIEW       376

13.3.2.1  NLP in finance market, by offering   376

13.3.2.2  NLP in finance market, by application              377

13.3.2.3  NLP in finance market, by technology              379

13.3.2.4  NLP in finance market, by vertical    380

13.3.2.5  NLP in finance market, by region      381

14            APPENDIX           382

14.1         DISCUSSION GUIDE        382

14.2         KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL                389

14.3         CUSTOMIZATION OPTIONS        391

14.4         RELATED REPORTS         391

14.5         AUTHOR DETAILS           392

LIST OF TABLES

TABLE 1                USD EXCHANGE RATES, 2019–2023            40

TABLE 2                PRIMARY INTERVIEWS  43

TABLE 3                FACTOR ANALYSIS          50

TABLE 4                AI IN FINANCE MARKET SIZE AND GROWTH RATE,

2019–2023 (USD MILLION, Y-O-Y %)          55

TABLE 5                AI IN FINANCE MARKET SIZE AND GROWTH RATE,

2024–2030 (USD MILLION, Y-O-Y %)          56

TABLE 6                ROLE OF COMPANIES IN ECOSYSTEM    71

TABLE 7                AI IN FINANCE MARKET: DETAILED LIST OF KEY CONFERENCES AND EVENTS, 2024–2025                 83

TABLE 8                NORTH AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES,

AND OTHER ORGANIZATIONS  85

TABLE 9                EUROPE: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES,

AND OTHER ORGANIZATIONS  86

TABLE 10              ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES,

AND OTHER ORGANIZATIONS  87

TABLE 11              MIDDLE EAST & AFRICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS             88

TABLE 12             LATIN AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES,

AND OTHER ORGANIZATIONS  89

TABLE 13              PATENTS FILED, 2013–2024           92

TABLE 14              AI IN FINANCE MARKET: LIST OF PATENTS GRANTED, 2023–2024      94

TABLE 15              AVERAGE SELLING PRICE OF KEY PLAYERS FOR TOP 3 APPLICATIONS    97

TABLE 16              AI IN FINANCE MARKET: INDICATIVE PRICING OF PRODUCT TYPES      98

TABLE 17              IMPACT OF PORTER’S FIVE FORCES ON AI IN FINANCE MARKET           99

TABLE 18              INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP 3 APPLICATIONS      102

TABLE 19              KEY BUYING CRITERIA FOR TOP 3 APPLICATIONS 103

TABLE 20              AI IN FINANCE MARKET, BY PRODUCT, 2019–2023 (USD MILLION)       109

TABLE 21              AI IN FINANCE MARKET, BY PRODUCT, 2024–2030 (USD MILLION)       110

TABLE 22              ERP & FINANCIAL SYSTEMS: AI IN FINANCE MARKET, BY REGION,

2019–2023 (USD MILLION)            111

TABLE 23              ERP & FINANCIAL SYSTEMS: AI IN FINANCE MARKET, BY REGION,

2024–2030 (USD MILLION)            111

TABLE 24              CHATBOTS & VIRTUAL ASSISTANTS: AI IN FINANCE MARKET, BY REGION,

2019–2023 (USD MILLION)            112

TABLE 25              CHATBOTS & VIRTUAL ASSISTANTS: AI IN FINANCE MARKET, BY REGION,

2024–2030 (USD MILLION)            112

TABLE 26              AUTOMATED RECONCILIATION SOLUTIONS: AI IN FINANCE MARKET, BY REGION, 2019–2023 (USD MILLION)                 113

TABLE 27              AUTOMATED RECONCILIATION SOLUTIONS: AI IN FINANCE MARKET, BY REGION, 2024–2030 (USD MILLION)                 113

TABLE 28              INTELLIGENT DOCUMENT PROCESSING: AI IN FINANCE MARKET, BY REGION, 2019–2023 (USD MILLION)                 114

TABLE 29              INTELLIGENT DOCUMENT PROCESSING: AI IN FINANCE MARKET, BY REGION, 2024–2030 (USD MILLION)                 114

TABLE 30              GOVERNANCE, RISK, AND COMPLIANCE (GRC) SOFTWARE: AI IN FINANCE MARKET, BY REGION, 2019–2023 (USD MILLION) 115

TABLE 31              GOVERNANCE, RISK, AND COMPLIANCE (GRC) SOFTWARE: AI IN FINANCE MARKET, BY REGION, 2024–2030 (USD MILLION) 115

TABLE 32              ACCOUNTS PAYABLE/RECEIVABLE AUTOMATION SOFTWARE: AI IN FINANCE MARKET, BY REGION, 2019–2023 (USD MILLION)            116

TABLE 33              ACCOUNTS PAYABLE/RECEIVABLE AUTOMATION SOFTWARE: AI IN FINANCE MARKET, BY REGION, 2024–2030 (USD MILLION)            116

TABLE 34              ROBO-ADVISORS: AI IN FINANCE MARKET, BY REGION, 2019–2023 (USD MILLION)          117

TABLE 35              ROBO-ADVISORS: AI IN FINANCE MARKET, BY REGION, 2024–2030 (USD MILLION)          117

TABLE 36              EXPENSE MANAGEMENT SYSTEMS: AI IN FINANCE MARKET, BY REGION,

2019–2023 (USD MILLION)            118

TABLE 37              EXPENSE MANAGEMENT SYSTEMS: AI IN FINANCE MARKET, BY REGION,

2024–2030 (USD MILLION)            118

TABLE 38              COMPLIANCE AUTOMATION PLATFORMS: AI IN FINANCE MARKET, BY REGION, 2019–2023 (USD MILLION)                 119

TABLE 39              COMPLIANCE AUTOMATION PLATFORMS: AI IN FINANCE MARKET, BY REGION, 2024–2030 (USD MILLION)                 119

TABLE 40              ALGORITHMIC TRADING PLATFORMS: AI IN FINANCE MARKET, BY REGION,

2019–2023 (USD MILLION)            120

TABLE 41              ALGORITHMIC TRADING PLATFORMS: AI IN FINANCE MARKET, BY REGION,

2024–2030 (USD MILLION)            120

TABLE 42              UNDERWRITING ENGINES/PLATFORMS: AI IN FINANCE MARKET, BY REGION, 2019–2023 (USD MILLION)                 121

TABLE 43              UNDERWRITING ENGINES/PLATFORMS: AI IN FINANCE MARKET, BY REGION, 2024–2030 (USD MILLION)                 121

TABLE 44              OTHER PRODUCT TYPES: AI IN FINANCE MARKET, BY REGION,

2019–2023 (USD MILLION)            122

TABLE 45              OTHER PRODUCT TYPES: AI IN FINANCE MARKET, BY REGION,

2024–2030 (USD MILLION)            122

TABLE 46              AI IN FINANCE MARKET, BY DEPLOYMENT MODE, 2019–2023 (USD MILLION)             123

TABLE 47              AI IN FINANCE MARKET, BY DEPLOYMENT MODE, 2024–2030 (USD MILLION)             123

TABLE 48              CLOUD: AI IN FINANCE MARKET, BY REGION, 2019–2023 (USD MILLION)            124

TABLE 49              CLOUD: AI IN FINANCE MARKET, BY REGION, 2024–2030 (USD MILLION)            124

TABLE 50              ON-PREMISES: AI IN FINANCE MARKET, BY REGION, 2019–2023 (USD MILLION)          125

TABLE 51              ON-PREMISES: AI IN FINANCE MARKET, BY REGION, 2024–2030 (USD MILLION)          125

TABLE 52              AI IN FINANCE MARKET, BY TECHNOLOGY, 2019–2023 (USD MILLION)            128

TABLE 53              AI IN FINANCE MARKET, BY TECHNOLOGY, 2024–2030 (USD MILLION)            128

TABLE 54              GENERATIVE AI: AI IN FINANCE MARKET, BY REGION, 2019–2023 (USD MILLION)          129

TABLE 55              GENERATIVE AI: AI IN FINANCE MARKET, BY REGION, 2024–2030 (USD MILLION)          129

TABLE 56              OTHER AI: AI IN FINANCE MARKET, BY REGION, 2019–2023 (USD MILLION)            131

TABLE 57              OTHER AI: AI IN FINANCE MARKET, BY REGION, 2024–2030 (USD MILLION)            131

TABLE 58              AI IN FINANCE MARKET, BY APPLICATION (FINANCE AS BUSINESS OPERATIONS), 2019–2023 (USD MILLION)            134

TABLE 59              AI IN FINANCE MARKET, BY APPLICATION (FINANCE AS BUSINESS OPERATIONS), 2024–2030 (USD MILLION)            135

TABLE 60              FRAUD DETECTION & PREVENTION: AI IN FINANCE MARKET, BY REGION,

2019–2023 (USD MILLION)            135

TABLE 61              FRAUD DETECTION & PREVENTION: AI IN FINANCE MARKET, BY REGION,

2024–2030 (USD MILLION)            136

TABLE 62              RISK MANAGEMENT: AI IN FINANCE MARKET, BY REGION,

2019–2023 (USD MILLION)            138

TABLE 63              RISK MANAGEMENT: AI IN FINANCE MARKET, BY REGION,

2024–2030 (USD MILLION)            138

TABLE 64              CUSTOMER SERVICE & ENGAGEMENT: AI IN FINANCE MARKET, BY REGION,

2019–2023 (USD MILLION)            140

TABLE 65              CUSTOMER SERVICE & ENGAGEMENT: AI IN FINANCE MARKET, BY REGION,

2024–2030 (USD MILLION)            140

TABLE 66              FINANCIAL COMPLIANCE & REGULATORY REPORTING: AI IN FINANCE MARKET,

BY REGION, 2019–2023 (USD MILLION)   143

TABLE 67              FINANCIAL COMPLIANCE & REGULATORY REPORTING: AI IN FINANCE MARKET,

BY REGION, 2024–2030 (USD MILLION)   143

TABLE 68              INVESTMENT & PORTFOLIO MANAGEMENT: AI IN FINANCE MARKET, BY REGION, 2019–2023 (USD MILLION)                 145

TABLE 69              INVESTMENT & PORTFOLIO MANAGEMENT: AI IN FINANCE MARKET, BY REGION, 2024–2030 (USD MILLION)                 145

TABLE 70              AI IN FINANCE MARKET, BY APPLICATION (FINANCE AS BUSINESS FUNCTIONS), 2019–2023 (USD MILLION)                 147

TABLE 71              AI IN FINANCE MARKET, BY APPLICATION (FINANCE AS BUSINESS FUNCTIONS), 2024–2030 (USD MILLION)                 148

TABLE 72              FINANCIAL PLANNING & FORECASTING: AI IN FINANCE MARKET, BY REGION, 2019–2023 (USD MILLION)                 148

TABLE 73              FINANCIAL PLANNING & FORECASTING: AI IN FINANCE MARKET BY REGION,

2024–2030 (USD MILLION)            149

TABLE 74              AUTOMATED BOOKKEEPING & RECONCILIATION: AI IN FINANCE MARKET,

BY REGION, 2019–2023 (USD MILLION)   151

TABLE 75              AUTOMATED BOOKKEEPING & RECONCILIATION: AI IN FINANCE MARKET,

BY REGION, 2024–2030 (USD MILLION)   151

TABLE 76              PROCUREMENT & SUPPLY CHAIN FINANCE: AI IN FINANCE MARKET, BY REGION, 2019–2023 (USD MILLION)                 153

TABLE 77              PROCUREMENT & SUPPLY CHAIN FINANCE: AI IN FINANCE MARKET, BY REGION, 2024–2030 (USD MILLION)                 153

TABLE 78              REVENUE CYCLE MANAGEMENT: AI IN FINANCE MARKET, BY REGION,

2019–2023 (USD MILLION)            155

TABLE 79              REVENUE CYCLE MANAGEMENT: AI IN FINANCE MARKET, BY REGION,

2024–2030 (USD MILLION)            155

TABLE 80              AI IN FINANCE MARKET, BY END USER, 2019–2023 (USD MILLION)       159

TABLE 81              AI IN FINANCE MARKET, BY END USER, 2024–2030 (USD MILLION)       160

TABLE 82              FINANCE AS BUSINESS FUNCTIONS: AI IN FINANCE MARKET, BY TYPE,

2019–2023 (USD MILLION)            161

TABLE 83              FINANCE AS BUSINESS FUNCTIONS: AI IN FINANCE MARKET, BY TYPE,

2024–2030 (USD MILLION)            162

TABLE 84              FINANCE AS BUSINESS FUNCTIONS: AI IN FINANCE MARKET, BY REGION,

2019–2023 (USD MILLION)            162

TABLE 85              FINANCE AS BUSINESS FUNCTIONS: AI IN FINANCE MARKET, BY REGION,

2024–2030 (USD MILLION)            162

TABLE 86              GOVERNMENT & PUBLIC SECTOR: AI IN FINANCE MARKET, BY REGION,

2019–2023 (USD MILLION)            163

TABLE 87              GOVERNMENT & PUBLIC SECTOR: AI IN FINANCE MARKET, BY REGION,

2024–2030 (USD MILLION)            163

TABLE 88              RETAIL & E-COMMERCE: AI IN FINANCE MARKET, BY REGION,

2019–2023 (USD MILLION)            164

TABLE 89              RETAIL & E-COMMERCE: AI IN FINANCE MARKET, BY REGION,

2024–2030 (USD MILLION)            164

TABLE 90              REAL ESTATE: AI IN FINANCE MARKET, BY REGION, 2019–2023 (USD MILLION)          165

TABLE 91              REAL ESTATE: AI IN FINANCE MARKET, BY REGION, 2024–2030 (USD MILLION)          165

TABLE 92              MANUFACTURING: AI IN FINANCE MARKET, BY REGION,

2019–2023 (USD MILLION)          166

TABLE 93              MANUFACTURING: AI IN FINANCE MARKET, BY REGION,

2024–2030 (USD MILLION)            166

TABLE 94              TELECOM & MEDIA: AI IN FINANCE MARKET, BY REGION,

2019–2023 (USD MILLION)            167

TABLE 95              TELECOM & MEDIA: AI IN FINANCE MARKET, BY REGION,

2024–2030 (USD MILLION)            167

TABLE 96              HEALTHCARE & PHARMA: AI IN FINANCE MARKET, BY REGION,

2019–2023 (USD MILLION)            168

TABLE 97              HEALTHCARE & PHARMA: AI IN FINANCE MARKET, BY REGION,

2024–2030 (USD MILLION)            168

TABLE 98              UTILITIES: AI IN FINANCE MARKET, BY REGION, 2019–2023 (USD MILLION)            169

TABLE 99              UTILITIES: AI IN FINANCE MARKET, BY REGION, 2024–2030 (USD MILLION)            169

TABLE 100            EDUCATION: AI IN FINANCE MARKET, BY REGION, 2019–2023 (USD MILLION)          170

TABLE 101            EDUCATION: AI IN FINANCE MARKET, BY REGION, 2024–2030 (USD MILLION)          170

TABLE 102            TECHNOLOGY & SOFTWARE: AI IN FINANCE MARKET, BY REGION,

2019–2023 (USD MILLION)            171

TABLE 103            TECHNOLOGY & SOFTWARE: AI IN FINANCE MARKET, BY REGION,

2024–2030 (USD MILLION)          171

TABLE 104            OTHER END USERS: AI IN FINANCE MARKET, BY REGION,

2019–2023 (USD MILLION)            172

TABLE 105            OTHER END USERS: AI IN FINANCE MARKET, BY REGION,

2024–2030 (USD MILLION)            172

TABLE 106            FINANCE AS BUSINESS OPERATIONS: AI IN FINANCE MARKET, BY TYPE,

2019–2023 (USD MILLION)            174

TABLE 107            FINANCE AS BUSINESS OPERATIONS: AI IN FINANCE MARKET, BY TYPE,

2024–2030 (USD MILLION)            174

TABLE 108            FINANCE AS BUSINESS OPERATIONS: AI IN FINANCE MARKET, BY REGION,

2019–2023 (USD MILLION)            174

TABLE 109            FINANCE AS BUSINESS OPERATIONS: AI IN FINANCE MARKET, BY REGION,

2024–2030 (USD MILLION)            175

TABLE 110            BANKING: AI IN FINANCE MARKET, BY REGION, 2019–2023 (USD MILLION)            175

TABLE 111            BANKING: AI IN FINANCE MARKET, BY REGION, 2024–2030 (USD MILLION)            176

TABLE 112            INSURANCE: AI IN FINANCE MARKET, BY REGION, 2019–2023 (USD MILLION)          177

TABLE 113            INSURANCE: AI IN FINANCE MARKET, BY REGION, 2024–2030 (USD MILLION)          177

TABLE 114            INVESTMENT & ASSET MANAGEMENT: AI IN FINANCE MARKET, BY REGION,

2019–2023 (USD MILLION)            178

TABLE 115            INVESTMENT & ASSET MANAGEMENT: AI IN FINANCE MARKET, BY REGION,

2024–2030 (USD MILLION)            178

TABLE 116            FINTECH: AI IN FINANCE MARKET, BY REGION, 2019–2023 (USD MILLION)            180

TABLE 117            FINTECH: AI IN FINANCE MARKET, BY REGION, 2024–2030 (USD MILLION)            180

TABLE 118            CAPITAL MARKETS/REGTECH: AI IN FINANCE MARKET, BY REGION,

2019–2023 (USD MILLION)            181

TABLE 119            CAPITAL MARKETS/REGTECH: AI IN FINANCE MARKET, BY REGION,

2024–2030 (USD MILLION)            181

TABLE 120            AI IN FINANCE MARKET, BY REGION, 2019–2023 (USD MILLION) 184

TABLE 121            AI IN FINANCE MARKET, BY REGION, 2024–2030 (USD MILLION) 184

TABLE 122            NORTH AMERICA: AI IN FINANCE MARKET, BY PRODUCT,

2019–2023 (USD MILLION)            187

TABLE 123            NORTH AMERICA: AI IN FINANCE MARKET, BY PRODUCT,

2024–2030 (USD MILLION)            187

TABLE 124            NORTH AMERICA: AI IN FINANCE MARKET, BY DEPLOYMENT MODE,

2019–2023 (USD MILLION)            188

TABLE 125            NORTH AMERICA: AI IN FINANCE MARKET, BY DEPLOYMENT MODE,

2024–2030 (USD MILLION)            188

TABLE 126            NORTH AMERICA: AI IN FINANCE MARKET, BY TECHNOLOGY,

2019–2023 (USD MILLION)            188

TABLE 127            NORTH AMERICA: AI IN FINANCE MARKET, BY TECHNOLOGY,

2024–2030 (USD MILLION)            188

TABLE 128            NORTH AMERICA: AI IN FINANCE MARKET, BY APPLICATION

(FINANCE AS BUSINESS OPERATIONS), 2019–2023 (USD MILLION)            189

TABLE 129            NORTH AMERICA: AI IN FINANCE MARKET, BY APPLICATION

(FINANCE AS BUSINESS OPERATIONS), 2024–2030 (USD MILLION)            189

TABLE 130            NORTH AMERICA: AI IN FINANCE MARKET, BY APPLICATION

(FINANCE AS BUSINESS FUNCTIONS), 2019–2023 (USD MILLION)                 189

TABLE 131            NORTH AMERICA: AI IN FINANCE MARKET, BY APPLICATION

(FINANCE AS BUSINESS FUNCTIONS), 2024–2030 (USD MILLION)                 190

TABLE 132            NORTH AMERICA: AI IN FINANCE MARKET, BY END USER,

2019–2023 (USD MILLION)            190

TABLE 133            NORTH AMERICA: AI IN FINANCE MARKET, BY END USER,

2024–2030 (USD MILLION)            190

TABLE 134            NORTH AMERICA: AI IN FINANCE MARKET, BY END USER

(FINANCE AS BUSINESS FUNCTIONS), 2019–2023 (USD MILLION)                 191

TABLE 135            NORTH AMERICA: AI IN FINANCE MARKET, BY END USER

(FINANCE AS BUSINESS FUNCTIONS), 2024–2030 (USD MILLION)                 191

TABLE 136            NORTH AMERICA: AI IN FINANCE MARKET, BY END USER

(FINANCE AS BUSINESS OPERATIONS), 2019–2023 (USD MILLION)            192

TABLE 137            NORTH AMERICA: AI IN FINANCE MARKET, BY END USER

(FINANCE AS BUSINESS OPERATIONS), 2024–2030 (USD MILLION)            192

TABLE 138            NORTH AMERICA: AI IN FINANCE MARKET, BY COUNTRY,

2019–2023 (USD MILLION)            192

TABLE 139            NORTH AMERICA: AI IN FINANCE MARKET, BY COUNTRY,

2024–2030 (USD MILLION)            192

TABLE 140            US: AI IN FINANCE MARKET, BY END USER, 2019–2023 (USD MILLION)       193

TABLE 141            US: AI IN FINANCE MARKET, BY END USER, 2024–2030 (USD MILLION)       193

TABLE 142          CANADA: AI IN FINANCE MARKET, BY END USER, 2019–2023 (USD MILLION)            194

TABLE 143          CANADA: AI IN FINANCE MARKET, BY END USER, 2024–2030 (USD MILLION)            194

TABLE 144            EUROPE: AI IN FINANCE MARKET, BY PRODUCT, 2019–2023 (USD MILLION)            197

TABLE 145            EUROPE: AI IN FINANCE MARKET, BY PRODUCT, 2024–2030 (USD MILLION)            197

TABLE 146            EUROPE: AI IN FINANCE MARKET, BY DEPLOYMENT MODE,

2019–2023 (USD MILLION)            198

TABLE 147            EUROPE: AI IN FINANCE MARKET, BY DEPLOYMENT MODE,

2024–2030 (USD MILLION)            198

TABLE 148            EUROPE: AI IN FINANCE MARKET, BY TECHNOLOGY, 2019–2023 (USD MILLION)            198

TABLE 149            EUROPE: AI IN FINANCE MARKET, BY TECHNOLOGY, 2024–2030 (USD MILLION)            198

TABLE 150            EUROPE: AI IN FINANCE MARKET, BY APPLICATION (FINANCE AS BUSINESS OPERATIONS), 2019–2023 (USD MILLION) 199

TABLE 151            EUROPE: AI IN FINANCE MARKET, BY APPLICATION (FINANCE AS BUSINESS OPERATIONS), 2024–2030 (USD MILLION) 199

TABLE 152            EUROPE: AI IN FINANCE MARKET, BY APPLICATION (FINANCE AS BUSINESS FUNCTIONS), 2019–2023 (USD MILLION) 199

TABLE 153            EUROPE: AI IN FINANCE MARKET, BY APPLICATION (FINANCE AS BUSINESS FUNCTIONS), 2024–2030 (USD MILLION) 200

TABLE 154            EUROPE: AI IN FINANCE MARKET, BY END USER, 2019–2023 (USD MILLION)            200

TABLE 155            EUROPE: AI IN FINANCE MARKET, BY END USER, 2024–2030 (USD MILLION)            200

TABLE 156            EUROPE: AI IN FINANCE MARKET, BY END USER (FINANCE AS BUSINESS FUNCTIONS), 2019–2023 (USD MILLION)                 201

TABLE 157            EUROPE: AI IN FINANCE MARKET, BY END USER (FINANCE AS BUSINESS FUNCTIONS), 2024–2030 (USD MILLION)                 201

TABLE 158            EUROPE: AI IN FINANCE MARKET, BY END USER (FINANCE AS BUSINESS OPERATIONS), 2019–2023 (USD MILLION)            202

TABLE 159            EUROPE: AI IN FINANCE MARKET, BY END USER (FINANCE AS BUSINESS OPERATIONS), 2024–2030 (USD MILLION)            202

TABLE 160            EUROPE: AI IN FINANCE MARKET, BY COUNTRY, 2019–2023 (USD MILLION)            202

TABLE 161            EUROPE: AI IN FINANCE MARKET, BY COUNTRY, 2024–2030 (USD MILLION)            203

TABLE 162            UK: AI IN FINANCE MARKET, BY END USER, 2019–2023 (USD MILLION)       203

TABLE 163            UK: AI IN FINANCE MARKET, BY END USER, 2024–2030 (USD MILLION)       204

TABLE 164            GERMANY: AI IN FINANCE MARKET, BY END USER, 2019–2023 (USD MILLION)                204

TABLE 165            GERMANY: AI IN FINANCE MARKET, BY END USER, 2024–2030 (USD MILLION)                204

TABLE 166            FRANCE: AI IN FINANCE MARKET, BY END USER, 2019–2023 (USD MILLION)            205

TABLE 167            FRANCE: AI IN FINANCE MARKET, BY END USER, 2024–2030 (USD MILLION)            205

TABLE 168            ITALY: AI IN FINANCE MARKET, BY END USER, 2019–2023 (USD MILLION)            206

TABLE 169            ITALY: AI IN FINANCE MARKET, BY END USER, 2024–2030 (USD MILLION)            206

TABLE 170            SPAIN: AI IN FINANCE MARKET, BY END USER, 2019–2023 (USD MILLION)            207

TABLE 171            SPAIN: AI IN FINANCE MARKET, BY END USER, 2024–2030 (USD MILLION)            207

TABLE 172            REST OF EUROPE: AI IN FINANCE MARKET, BY END USER,

2019–2023 (USD MILLION)            208

TABLE 173            REST OF EUROPE: AI IN FINANCE MARKET, BY END USER,

2024–2030 (USD MILLION)            209

TABLE 174            ASIA PACIFIC: AI IN FINANCE MARKET, BY PRODUCT, 2019–2023 (USD MILLION)     212

TABLE 175            ASIA PACIFIC: AI IN FINANCE MARKET, BY PRODUCT, 2024–2030 (USD MILLION)     212

TABLE 176            ASIA PACIFIC: AI IN FINANCE MARKET, BY DEPLOYMENT MODE,

2019–2023 (USD MILLION)            213

TABLE 177            ASIA PACIFIC: AI IN FINANCE MARKET, BY DEPLOYMENT MODE,

2024–2030 (USD MILLION)            213

TABLE 178            ASIA PACIFIC: AI IN FINANCE MARKET, BY TECHNOLOGY,

2019–2023 (USD MILLION)            213

TABLE 179            ASIA PACIFIC: AI IN FINANCE MARKET, BY TECHNOLOGY,

2024–2030 (USD MILLION)            213

TABLE 180            ASIA PACIFIC: AI IN FINANCE MARKET, BY APPLICATION (FINANCE AS BUSINESS OPERATIONS), 2019–2023 (USD MILLION) 214

TABLE 181            ASIA PACIFIC: AI IN FINANCE MARKET, BY APPLICATION (FINANCE AS BUSINESS OPERATIONS), 2024–2030 (USD MILLION) 214

TABLE 182            ASIA PACIFIC: AI IN FINANCE MARKET, BY APPLICATION (FINANCE AS BUSINESS FUNCTIONS), 2019–2023 (USD MILLION) 214

TABLE 183            ASIA PACIFIC: AI IN FINANCE MARKET, BY APPLICATION (FINANCE AS BUSINESS FUNCTIONS), 2024–2030 (USD MILLION) 215

TABLE 184            ASIA PACIFIC: AI IN FINANCE MARKET, BY END USER, 2019–2023 (USD MILLION)                215

TABLE 185            ASIA PACIFIC: AI IN FINANCE MARKET, BY END USER, 2024–2030 (USD MILLION)                215

TABLE 186            ASIA PACIFIC: AI IN FINANCE MARKET, BY END USER (FINANCE AS BUSINESS FUNCTIONS), 2019–2023 (USD MILLION)            216

TABLE 187            ASIA PACIFIC: AI IN FINANCE MARKET, BY END USER (FINANCE AS BUSINESS FUNCTIONS), 2024–2030 (USD MILLION)            216

TABLE 188            ASIA PACIFIC: AI IN FINANCE MARKET, BY END USER (FINANCE AS BUSINESS OPERATIONS), 2019–2023 (USD MILLION)            217

TABLE 189            ASIA PACIFIC: AI IN FINANCE MARKET, BY END USER (FINANCE AS BUSINESS OPERATIONS), 2024–2030 (USD MILLION)            217

TABLE 190            ASIA PACIFIC: AI IN FINANCE MARKET, BY COUNTRY, 2019–2023 (USD MILLION)     217

TABLE 191            ASIA PACIFIC: AI IN FINANCE MARKET, BY COUNTRY, 2024–2030 (USD MILLION)     218

TABLE 192            CHINA: AI IN FINANCE MARKET, BY END USER, 2019–2023 (USD MILLION)            218

TABLE 193            CHINA: AI IN FINANCE MARKET, BY END USER, 2024–2030 (USD MILLION)            219

TABLE 194            JAPAN: AI IN FINANCE MARKET, BY END USER, 2019–2023 (USD MILLION)            219

TABLE 195            JAPAN: AI IN FINANCE MARKET, BY END USER, 2024–2030 (USD MILLION)            219

TABLE 196            INDIA: AI IN FINANCE MARKET, BY END USER, 2019–2023 (USD MILLION)            220

TABLE 197            INDIA: AI IN FINANCE MARKET, BY END USER, 2024–2030 (USD MILLION)            220

TABLE 198            SOUTH KOREA: AI IN FINANCE MARKET, BY END USER, 2019–2023 (USD MILLION)                221

TABLE 199            SOUTH KOREA: AI IN FINANCE MARKET, BY END USER, 2024–2030 (USD MILLION)                221

TABLE 200            AUSTRALIA & NEW ZEALAND: AI IN FINANCE MARKET, BY END USER,

2019–2023 (USD MILLION)            222

TABLE 201            AUSTRALIA & NEW ZEALAND: AI IN FINANCE MARKET, BY END USER,

2024–2030 (USD MILLION)            222

TABLE 202            ASEAN: AI IN FINANCE MARKET, BY COUNTRY, 2019–2023 (USD MILLION)            223

TABLE 203            ASEAN: AI IN FINANCE MARKET, BY COUNTRY, 2024–2030 (USD MILLION)            223

TABLE 204            ASEAN: AI IN FINANCE MARKET, BY END USER, 2019–2023 (USD MILLION)            224

TABLE 205            ASEAN: AI IN FINANCE MARKET, BY END USER, 2024–2030 (USD MILLION)            224

TABLE 206            REST OF ASIA PACIFIC: AI IN FINANCE MARKET, BY END USER,

2019–2023 (USD MILLION)            225

TABLE 207            REST OF ASIA PACIFIC: AI IN FINANCE MARKET, BY END USER,

2024–2030 (USD MILLION)            225

TABLE 208            MIDDLE EAST & AFRICA: AI IN FINANCE MARKET, BY PRODUCT,

2019–2023 (USD MILLION)            227

TABLE 209            MIDDLE EAST & AFRICA: AI IN FINANCE MARKET, BY PRODUCT,

2024–2030 (USD MILLION)            228

TABLE 210            MIDDLE EAST & AFRICA: AI IN FINANCE MARKET, BY DEPLOYMENT MODE,

2019–2023 (USD MILLION)            228

TABLE 211            MIDDLE EAST & AFRICA: AI IN FINANCE MARKET, BY DEPLOYMENT MODE,

2024–2030 (USD MILLION)            228

TABLE 212            MIDDLE EAST & AFRICA: AI IN FINANCE MARKET, BY TECHNOLOGY,

2019–2023 (USD MILLION)            229

TABLE 213            MIDDLE EAST & AFRICA: AI IN FINANCE MARKET, BY TECHNOLOGY,

2024–2030 (USD MILLION)            229

TABLE 214            MIDDLE EAST & AFRICA: AI IN FINANCE MARKET, BY APPLICATION

(FINANCE AS BUSINESS OPERATIONS), 2019–2023 (USD MILLION)            229

TABLE 215            MIDDLE EAST & AFRICA: AI IN FINANCE MARKET, BY APPLICATION

(FINANCE AS BUSINESS OPERATIONS), 2024–2030 (USD MILLION)            230

TABLE 216            MIDDLE EAST & AFRICA: AI IN FINANCE MARKET, BY APPLICATION

(FINANCE AS BUSINESS FUNCTIONS), 2019–2023 (USD MILLION)                 230

TABLE 217            MIDDLE EAST & AFRICA: AI IN FINANCE MARKET, BY APPLICATION

(FINANCE AS BUSINESS FUNCTIONS), 2024–2030 (USD MILLION)                 230

TABLE 218            MIDDLE EAST & AFRICA: AI IN FINANCE MARKET, BY END USER,

2019–2023 (USD MILLION)            231

TABLE 219            MIDDLE EAST & AFRICA: AI IN FINANCE MARKET, BY END USER,

2024–2030 (USD MILLION)            231

TABLE 220            MIDDLE EAST & AFRICA: AI IN FINANCE MARKET, BY END USER

(FINANCE AS BUSINESS FUNCTIONS), 2019–2023 (USD MILLION)                 231

TABLE 221            MIDDLE EAST & AFRICA: AI IN FINANCE MARKET, BY END USER

(FINANCE AS BUSINESS FUNCTIONS), 2024–2030 (USD MILLION)                 232

TABLE 222            MIDDLE EAST & AFRICA: AI IN FINANCE MARKET, BY END USER

(FINANCE AS BUSINESS OPERATIONS), 2019–2023 (USD MILLION)            232

TABLE 223            MIDDLE EAST & AFRICA: AI IN FINANCE MARKET, BY END USER

(FINANCE AS BUSINESS OPERATIONS), 2024–2030 (USD MILLION)            233

TABLE 224            MIDDLE EAST & AFRICA: AI IN FINANCE MARKET, BY REGION,

2019–2023 (USD MILLION)            233

TABLE 225            MIDDLE EAST & AFRICA: AI IN FINANCE MARKET, BY REGION,

2024–2030 (USD MILLION)            233

TABLE 226            MIDDLE EAST: AI IN FINANCE MARKET, BY COUNTRY, 2019–2023 (USD MILLION)     234

TABLE 227            MIDDLE EAST: AI IN FINANCE MARKET, BY COUNTRY, 2024–2030 (USD MILLION)     234

TABLE 228            KSA: AI IN FINANCE MARKET, BY END USER, 2019–2023 (USD MILLION)            235

TABLE 229            KSA: AI IN FINANCE MARKET, BY END USER, 2024–2030 (USD MILLION)            235

TABLE 230            UAE: AI IN FINANCE MARKET, BY END USER, 2019–2023 (USD MILLION)            236

TABLE 231            UAE: AI IN FINANCE MARKET, BY END USER, 2024–2030 (USD MILLION)            236

TABLE 232            KUWAIT: AI IN FINANCE MARKET, BY END USER, 2019–2023 (USD MILLION)            237

TABLE 233            KUWAIT: AI IN FINANCE MARKET, BY END USER, 2024–2030 (USD MILLION)            237

TABLE 234            BAHRAIN: AI IN FINANCE MARKET, BY END USER, 2019–2023 (USD MILLION)                238

TABLE 235            BAHRAIN: AI IN FINANCE MARKET, BY END USER, 2024–2030 (USD MILLION)                238

TABLE 236            AFRICA: AI IN FINANCE MARKET, BY END USER, 2019–2023 (USD MILLION)            239

TABLE 237            AFRICA: AI IN FINANCE MARKET, BY END USER, 2024–2030 (USD MILLION)            239

TABLE 238            LATIN AMERICA: AI IN FINANCE MARKET, BY PRODUCT,

2019–2023 (USD MILLION)            241

TABLE 239            LATIN AMERICA: AI IN FINANCE MARKET, BY PRODUCT,

2024–2030 (USD MILLION)            242

TABLE 240            LATIN AMERICA: AI IN FINANCE MARKET, BY DEPLOYMENT MODE,

2019–2023 (USD MILLION)            242

TABLE 241            LATIN AMERICA: AI IN FINANCE MARKET, BY DEPLOYMENT MODE,

2024–2030 (USD MILLION)            242

TABLE 242            LATIN AMERICA: AI IN FINANCE MARKET, BY TECHNOLOGY,

2019–2023 (USD MILLION)            243

TABLE 243            LATIN AMERICA: AI IN FINANCE MARKET, BY TECHNOLOGY,

2024–2030 (USD MILLION)            243

TABLE 244            LATIN AMERICA: AI IN FINANCE MARKET, BY APPLICATION

(FINANCE AS BUSINESS OPERATIONS), 2019–2023 (USD MILLION)            243

TABLE 245            LATIN AMERICA: AI IN FINANCE MARKET, BY APPLICATION

(FINANCE AS BUSINESS OPERATIONS), 2024–2030 (USD MILLION)            243

TABLE 246            LATIN AMERICA: AI IN FINANCE MARKET, BY APPLICATION

(FINANCE AS BUSINESS FUNCTIONS), 2019–2023 (USD MILLION)                 244

TABLE 247            LATIN AMERICA: AI IN FINANCE MARKET, BY APPLICATION

(FINANCE AS BUSINESS FUNCTIONS), 2024–2030 (USD MILLION)                 244

TABLE 248            LATIN AMERICA: AI IN FINANCE MARKET, BY END USER,

2019–2023 (USD MILLION)            244

TABLE 249            LATIN AMERICA: AI IN FINANCE MARKET, BY END USER,

2024–2030 (USD MILLION)            244

TABLE 250            LATIN AMERICA: AI IN FINANCE MARKET, BY END USER

(FINANCE AS BUSINESS FUNCTIONS), 2019–2023 (USD MILLION)                 245

TABLE 251            LATIN AMERICA: AI IN FINANCE MARKET, BY END USER

(FINANCE AS BUSINESS FUNCTIONS), 2024–2030 (USD MILLION)                 245

TABLE 252            LATIN AMERICA: AI IN FINANCE MARKET, BY END USER

(FINANCE AS BUSINESS OPERATIONS), 2019–2023 (USD MILLION)            246

TABLE 253            LATIN AMERICA: AI IN FINANCE MARKET, BY END USER

(FINANCE AS BUSINESS OPERATIONS), 2024–2030 (USD MILLION)            246

TABLE 254            LATIN AMERICA: AI IN FINANCE MARKET, BY COUNTRY, 2019–2023 (USD MILLION)     246

TABLE 255            LATIN AMERICA: AI IN FINANCE MARKET, BY COUNTRY, 2024–2030 (USD MILLION)     247

TABLE 256            BRAZIL: AI IN FINANCE MARKET, BY END USER, 2019–2023 (USD MILLION)            247

TABLE 257            BRAZIL: AI IN FINANCE MARKET, BY END USER, 2024–2030 (USD MILLION)            248

TABLE 258            MEXICO: AI IN FINANCE MARKET, BY END USER, 2019–2023 (USD MILLION)            248

TABLE 259            MEXICO: AI IN FINANCE MARKET, BY END USER, 2024–2030 (USD MILLION)            249

TABLE 260            ARGENTINA: AI IN FINANCE MARKET, BY END USER, 2019–2023 (USD MILLION)                249

TABLE 261            ARGENTINA: AI IN FINANCE MARKET, BY END USER, 2024–2030 (USD MILLION)                250

TABLE 262            REST OF LATIN AMERICA: AI IN FINANCE MARKET, BY END USER,

2019–2023 (USD MILLION)            250

TABLE 263            REST OF LATIN AMERICA: AI IN FINANCE MARKET, BY END USER,

2024–2030 (USD MILLION)            251

TABLE 264            AI IN FINANCE MARKET: OVERVIEW OF STRATEGIES ADOPTED BY KEY VENDORS, 2020–2024       252

TABLE 265            AI IN FINANCE MARKET (FINANCE AS BUSINESS FUNCTIONS):

DEGREE OF COMPETITION, 2023               258

TABLE 266            AI IN FINANCE MARKET (FINANCE AS BUSINESS OPERATIONS):

DEGREE OF COMPETITION, 2023               260

TABLE 267            AI IN FINANCE MARKET: REGION FOOTPRINT                 272

TABLE 268            AI IN FINANCE MARKET: PRODUCT FOOTPRINT                 273

TABLE 269            AI IN FINANCE MARKET: APPLICATION FOOTPRINT (BUSINESS OPERATIONS)  274

TABLE 270            AI IN FINANCE MARKET: END USER FOOTPRINT (BUSINESS OPERATIONS)             276

TABLE 271            AI IN FINANCE MARKET: DETAILED LIST OF KEY STARTUPS/SMES              281

TABLE 272            AI IN FINANCE MARKET: COMPETITIVE BENCHMARKING OF STARTUPS/SMES   282

TABLE 273            AI IN FINANCE MARKET: PRODUCT LAUNCHES AND ENHANCEMENTS,

JANUARY 2021–OCTOBER 2024   283

TABLE 274            AI IN FINANCE MARKET: DEALS, JANUARY 2021–OCTOBER 2024  285

TABLE 275            FIS: COMPANY OVERVIEW           289

TABLE 276            FIS: PRODUCTS/SOLUTIONS/SERVICES OFFERED             290

TABLE 277            FIS: PRODUCT LAUNCHES AND ENHANCEMENTS             291

TABLE 278            FIS: DEALS           292

TABLE 279            FISERV: COMPANY OVERVIEW  295

TABLE 280            FISERV: PRODUCTS/SOLUTIONS/SERVICES OFFERED             296

TABLE 281            FISERV: PRODUCT LAUNCHES AND ENHANCEMENTS             298

TABLE 282            FISERV: DEALS  298

TABLE 283            GOOGLE: COMPANY OVERVIEW               300

TABLE 284            GOOGLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED             301

TABLE 285            GOOGLE: PRODUCT LAUNCHES AND ENHANCEMENTS             302

TABLE 286            GOOGLE: DEALS              303

TABLE 287            MICROSOFT: COMPANY OVERVIEW        305

TABLE 288            MICROSOFT: PRODUCTS/SOLUTIONS/SERVICES OFFERED    307

TABLE 289            MICROSOFT: PRODUCT LAUNCHES AND ENHANCEMENTS             308

TABLE 290            MICROSOFT: DEALS       309

TABLE 291            ZOHO: COMPANY OVERVIEW    311

TABLE 292            ZOHO: PRODUCTS/SOLUTIONS/SERVICES OFFERED             311

TABLE 293            ZOHO: PRODUCT LAUNCHES AND ENHANCEMENTS             313

TABLE 294            ZOHO: DEALS    315

TABLE 295            IBM: COMPANY OVERVIEW         316

TABLE 296            IBM: PRODUCTS/SOLUTIONS/SERVICES OFFERED             317

TABLE 297            IBM: PRODUCT LAUNCHES AND ENHANCEMENTS             318

TABLE 298            IBM: DEALS        319

TABLE 299            SOCURE: COMPANY OVERVIEW                320

TABLE 300            SOCURE: PRODUCTS/SOLUTIONS/SERVICES OFFERED             320

TABLE 301            SOCURE: DEALS                321

TABLE 302            SOCURE: EXPANSIONS  322

TABLE 303            WORKIVA: COMPANY OVERVIEW             323

TABLE 304            WORKIVA: PRODUCTS/SOLUTIONS/SERVICES OFFERED             324

TABLE 305            WORKIVA: DEALS             326

TABLE 306            WORKIVA: EXPANSIONS                326

TABLE 307            PLAID: COMPANY OVERVIEW    327

TABLE 308            PLAID: PRODUCTS/SOLUTIONS/SERVICES OFFERED             327

TABLE 309            PLAID: DEALS   328

TABLE 310            C3 AI: COMPANY OVERVIEW       330

TABLE 311            C3 AI: PRODUCTS/SOLUTIONS/SERVICES OFFERED             331

TABLE 312            C3 AI: DEALS      333

TABLE 313            HIGHRADIUS: COMPANY OVERVIEW      334

TABLE 314            HIGHRADIUS: PRODUCTS/SOLUTIONS/SERVICES OFFERED    334

TABLE 315            HIGHRADIUS: PRODUCT LAUNCHES AND ENHANCEMENTS             336

TABLE 316            HIGHRADIUS: DEALS     336

TABLE 317            ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2019–2023 (USD BILLION)      370

TABLE 318            ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2024–2030 (USD BILLION)      370

TABLE 319            ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION,

2019–2023 (USD BILLION)             371

TABLE 320            ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION,

2024–2030 (USD BILLION)             372

TABLE 321            ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2019–2023 (USD BILLION)             372

TABLE 322            ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2024–2030 (USD BILLION)             373

TABLE 323            ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2019–2023 (USD BILLION)      374

TABLE 324            ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2024–2030 (USD BILLION)      374

TABLE 325            ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD BILLION)           375

TABLE 326            ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2024–2030 (USD BILLION)           375

TABLE 327            NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION)       377

TABLE 328            NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION)       377

TABLE 329            NLP IN FINANCE MARKET, BY APPLICATION, 2019–2022 (USD MILLION)            378

TABLE 330            NLP IN FINANCE MARKET, BY APPLICATION, 2023–2028 (USD MILLION)            378

TABLE 331            NLP IN FINANCE MARKET, BY TECHNOLOGY, 2019–2022 (USD MILLION)            379

TABLE 332            NLP IN FINANCE MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION)            379

TABLE 333            NLP IN FINANCE MARKET, BY VERTICAL, 2019–2022 (USD MILLION)       380

TABLE 334            NLP IN FINANCE MARKET, BY VERTICAL, 2023–2028 (USD MILLION)       380

TABLE 335            NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION)       381

TABLE 336            NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION)       381

LIST OF FIGURES

FIGURE 1              AI IN FINANCE MARKET: RESEARCH DESIGN                 42

FIGURE 2              DATA TRIANGULATION                45

FIGURE 3              AI IN FINANCE MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES         46

FIGURE 4              APPROACH 1, BOTTOM-UP (SUPPLY-SIDE): REVENUE FROM SOFTWARE/SERVICES OF AI IN FINANCE MARKET               47

FIGURE 5              APPROACH 2, BOTTOM-UP (SUPPLY-SIDE): COLLECTIVE REVENUE

FROM ALL SOFTWARE/SERVICES OF AI IN FINANCE MARKET                 48

FIGURE 6              APPROACH 3, BOTTOM-UP (SUPPLY-SIDE): COLLECTIVE REVENUE

FROM ALL PRODUCTS OF AI IN FINANCE MARKET          49

FIGURE 7              APPROACH 4, BOTTOM-UP (DEMAND-SIDE): SHARE OF AI IN FINANCE MARKET THROUGH OVERALL SPENDING          49

FIGURE 8              ALGORITHMIC TRADING PLATFORMS SEGMENT TO LEAD MARKET IN 2024      56

FIGURE 9              CLOUD SEGMENT TO DOMINATE MARKET IN 2024        56

FIGURE 10            OTHER AI TECHNOLOGIES SEGMENT TO DOMINATE MARKET IN 2024       57

FIGURE 11            FRAUD DETECTION & PREVENTION SEGMENT TO HOLD LARGEST

MARKET SHARE IN 2024 57

FIGURE 12            FINANCIAL PLANNING & FORECASTING SEGMENT TO LEAD MARKET IN 2024      57

FIGURE 13            FINANCE AS BUSINESS OPERATIONS SEGMENT TO HAVE LARGER MARKET SHARE THAN FINANCE AS BUSINESS FUNCTIONS SEGMENT IN 2024  58

FIGURE 14            BANKING SEGMENT TO DOMINATE MARKET IN 2024        58

FIGURE 15            RETAIL & ECOMMERCE SEGMENT TO HOLD LARGEST MARKET SIZE IN 2024 58

FIGURE 16            ASIA PACIFIC TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD       59

FIGURE 17            RISING DEMAND FOR PRECISE FORECASTS FOR STRATEGIC PLANNING AND INVESTMENT TO DRIVE MARKET                 60

FIGURE 18            CUSTOMER SERVICE & ENGAGEMENT SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD                61

FIGURE 19            CLOUD AND FINANCE AS BUSINESS OPERATIONS SEGMENTS TO HOLD LARGEST MARKET SHARES IN NORTH AMERICA IN 2024        61

FIGURE 20            NORTH AMERICA TO ACCOUNT FOR LARGEST MARKET SHARE IN 2024 62

FIGURE 21            AI IN FINANCE MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES,

AND CHALLENGES          64

FIGURE 22            EVOLUTION OF AI IN FINANCE MARKET                 68

FIGURE 23            AI IN FINANCE MARKET: SUPPLY CHAIN ANALYSIS            69

FIGURE 24            AI IN FINANCE MARKET: ECOSYSTEM ANALYSIS                 71

FIGURE 25            AI IN FINANCE MARKET: INVESTMENT AND FUNDING SCENARIO (USD MILLION AND NUMBER OF FUNDING ROUNDS)       84

FIGURE 26            NUMBER OF PATENTS GRANTED TO VENDORS IN LAST 10 YEARS             93

FIGURE 27            REGIONAL ANALYSIS OF PATENTS GRANTED, 2013–2024              93

FIGURE 28            AVERAGE SELLING PRICE OF KEY PLAYERS FOR TOP 3 APPLICATIONS    97

FIGURE 29            AI IN FINANCE MARKET: PORTER’S FIVE FORCES ANALYSIS            99

FIGURE 30            TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS   101

FIGURE 31            INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP 3 APPLICATIONS      102

FIGURE 32            KEY BUYING CRITERIA FOR TOP 3 APPLICATIONS 103

FIGURE 33            MARKET POTENTIAL OF GENERATIVE AI TO ADVANCE AI IN FINANCE ACROSS

KEY END USERS                104

FIGURE 34            COMPLIANCE AUTOMATION PLATFORMS SEGMENT TO REGISTER HIGHEST

CAGR DURING FORECAST PERIOD          108

FIGURE 35            ON-PREMISES SEGMENT TO REGISTER HIGHER CAGR THAN CLOUD SEGMENT DURING FORECAST PERIOD                 123

FIGURE 36            GENERATIVE AI SEGMENT TO GROW AT HIGHEST CAGR DURING

FORECAST PERIOD         128

FIGURE 37            CUSTOMER SERVICE & ENGAGEMENT SEGMENT TO REGISTER HIGHEST

CAGR DURING FORECAST PERIOD          134

FIGURE 38            AUTOMATED BOOKKEEPING & RECONCILIATION SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD       147

FIGURE 39            FINANCE AS BUSINESS OPERATIONS SEGMENT TO REGISTER HIGHER CAGR THAN FINANCE AS BUSINESS FUNCTIONS SEGMENT DURING FORECAST PERIOD       159

FIGURE 40            HEALTHCARE & PHARMA SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD 161

FIGURE 41            INVESTMENT & ASSET MANAGEMENT SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD                173

FIGURE 42            INDIA TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD         183

FIGURE 43            ASIA PACIFIC TO WITNESS HIGHEST CAGR DURING FORECAST PERIOD       183

FIGURE 44            NORTH AMERICA: AI IN FINANCE MARKET SNAPSHOT          186

FIGURE 45            ASIA PACIFIC: AI IN FINANCE MARKET SNAPSHOT          211

FIGURE 46            AI IN FINANCE MARKET: REVENUE ANALYSIS OF FIVE KEY PLAYERS

(FINANCE AS BUSINESS FUNCTIONS), 2019–2023                 256

FIGURE 47            AI IN FINANCE MARKET: REVENUE ANALYSIS OF FIVE KEY PLAYERS

(FINANCE AS BUSINESS OPERATIONS), 2019–2023            257

FIGURE 48            SHARE ANALYSIS OF LEADING COMPANIES IN AI IN FINANCE MARKET

(FINANCE AS BUSINESS FUNCTIONS), 2023         258

FIGURE 49            SHARE ANALYSIS OF LEADING COMPANIES IN AI IN FINANCE MARKET

(FINANCE AS BUSINESS OPERATIONS), 2023        260

FIGURE 50            PRODUCT COMPARATIVE ANALYSIS (FINANCE AS BUSINESS FUNCTIONS)           262

FIGURE 51            PRODUCT COMPARATIVE ANALYSIS (FINANCE AS BUSINESS OPERATIONS)        263

FIGURE 52            COMPANY VALUATION AND FINANCIAL METRICS OF KEY VENDORS        266

FIGURE 53            YEAR-TO-DATE (YTD) PRICE TOTAL RETURN AND 5-YEAR STOCK

BETA OF KEY VENDORS                267

FIGURE 54            AI IN FINANCE MARKET: COMPANY EVALUATION MATRIX (KEY PLAYERS,

FINANCE AS BUSINESS FUNCTIONS), 2023             268

FIGURE 55            AI IN FINANCE MARKET: COMPANY EVALUATION MATRIX (KEY PLAYERS,

FINANCE AS BUSINESS OPERATIONS), 2023          270

FIGURE 56            AI IN FINANCE MARKET: COMPANY FOOTPRINT (1/2)       271

FIGURE 57            AI IN FINANCE MARKET: COMPANY FOOTPRINT (2/2)       272

FIGURE 58            AI IN FINANCE MARKET: COMPANY EVALUATION MATRIX (STARTUPS/SMES, FINANCE AS BUSINESS OPERATIONS), 2023         278

FIGURE 59            AI IN FINANCE MARKET: COMPANY EVALUATION MATRIX (STARTUPS/SMES, FINANCE AS BUSINESS FUNCTIONS), 2023           280

FIGURE 60            FIS: COMPANY SNAPSHOT           289

FIGURE 61            FISERV: COMPANY SNAPSHOT  296

FIGURE 62            GOOGLE: COMPANY SNAPSHOT               301

FIGURE 63            MICROSOFT: COMPANY SNAPSHOT        306

FIGURE 64            IBM: COMPANY SNAPSHOT         317

FIGURE 65            WORKIVA: COMPANY SNAPSHOT             324

FIGURE 66            C3 AI: COMPANY SNAPSHOT      331

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