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市場調查報告書
商品編碼
1561630

按類型（解決方案、服務）、部署模型（基於雲端、本地）、應用程式（虛擬助理（聊天機器人）、信用評分、定量和資產管理、詐欺檢測等）和區域分類的金融科技市場人工智慧報告2024-2032

AI in Fintech Market Report by Type (Solutions, Services), Deployment Model (Cloud-based, On-premises), Application (Virtual Assistant (Chatbots), Credit Scoring, Quantitative and Asset Management, Fraud Detection, and Others), and Region 2024-2032
出版日期: | 出版商: IMARC | 英文 145 Pages | 商品交期: 2-3個工作天內

價格

2023年，全球人工智慧金融科技市場IMARC Group達146億美元。科技的快速進步、對監管合規性的需求不斷成長、對個人化服務的需求不斷成長、金融科技中廣泛採用人工智慧來降低金融風險、網路詐欺發生率的增加以及金融科技中人工智慧的使用不斷增加以實現財務流程自動化是其中一些主要因素。

人工智慧在金融科技市場分析：

  • 市場成長與規模：由於對自動化的需求不斷成長，以及改善風險管理的需求不斷成長，市場正在強勁成長。
  • 技術進步：機器學習 (ML) 演算法、自然語言處理 (NLP) 和預測分析等先進技術的整合帶來了積極的市場前景。
  • 產業應用：人工智慧在金融業的各個領域都有應用，包括銀行、保險、財富管理、交易等。
  • 地理趨勢：在主要科技公司的推動下，北美引領市場。然而，由於對人工智慧技術的投資不斷增加，亞太地區正在成為一個快速成長的市場。
  • 競爭格局：傳統金融機構和科技公司之間的合作正在推動市場成長。
  • 挑戰與機會：雖然市場面臨資料隱私問題等挑戰，但由於對詐欺偵測的日益關注，它也遇到了機會。
  • 未來展望：隨著人工智慧聊天機器人的擴展，人工智慧在金融科技市場的未來看起來充滿希望。此外，對開發道德人工智慧框架的日益關注預計將推動市場成長。

人工智慧在金融科技市場趨勢的應用：

科技的快速進步

人工智慧在金融科技中的整合很大程度上受到持續技術進步的影響。與此一致的是，整合機器學習（ML）演算法來完善巨量資料分析並擴展其在金融領域的潛在應用正在推動市場成長。此外，這些創新能夠高速且準確地處理和解釋大量資料，提供即時洞察和自動化功能。此外，量子運算和雲端技術的發展進一步增強了複雜金融建模所需的運算能力，正在推動市場成長。除此之外，金融科技公司正在利用這些先進技術來創造個人化銀行體驗、自動化交易，並以前所未有的精度管理風險。此外，技術進步不僅提高了效率，也為全新產品和服務打開了大門。

監理合規需求不斷成長

金融業的運作遵循一套複雜的法規，各個司法管轄區的法規各不相同。遵守這些法規不僅是強制性的，而且對於維護消費者信任和金融體系的整體完整性也至關重要。據此，金融科技中的人工智慧在確保監管合規性以及自動監控和分析數百萬筆交易以檢測異常或不遵守相關法律方面發揮著至關重要的作用。除此之外，整合自然語言處理（NLP）來解釋不斷變化的監管文本，確保金融機構始終了解最新要求，並對市場成長產生正面影響。此外，合規流程的自動化減少了人為錯誤的可能性，並實現了對監管變化更加敏感和適應性更強的方法。

對個人化服務的需求不斷成長

消費者對包括金融在內的所有服務業的個人化體驗日益成長的期望正在推動市場成長。人工智慧透過分析大量客戶資料並識別個人偏好、消費習慣和財務需求，在滿足這項需求方面發揮著至關重要的作用。此外，這些資訊也用於為每位客戶量身定做金融產品、優惠和建議。此外，人工智慧使金融機構能夠透過以前無法實現的客製化等級提供個人化投資策略或個人化貸款優惠。除此之外，人工智慧的廣泛使用有助於提高客戶忠誠度、增加參與度和提高整體滿意度。因此，採用人工智慧創建量身定做的金融解決方案不僅是一種趨勢，而且是金融服務提供方式的根本性轉變。

目錄

第1章：前言

第 2 章：範圍與方法

  • 研究目的
  • 利害關係人
  • 數據來源
    • 主要來源
    • 二手資料
  • 市場預測
    • 自下而上的方法
    • 自上而下的方法
  • 預測方法

第 3 章：執行摘要

第 4 章：簡介

  • 概述
  • 主要行業趨勢

第 5 章：金融科技市場中的全球人工智慧

  • 市場概況
  • 市場表現
  • COVID-19 的影響
  • 市場預測

第 6 章：市場區隔：按類型

  • 解決方案
    • 市場趨勢
    • 市場預測
  • 服務
    • 市場趨勢
    • 市場預測

第 7 章：市場區隔：依部署模型

  • 基於雲端
    • 市場趨勢
    • 市場預測
  • 本地
    • 市場趨勢
    • 市場預測

第 8 章：市場區隔：按應用

  • 虛擬助理（聊天機器人）
    • 市場趨勢
    • 市場預測
  • 信用評分
    • 市場趨勢
    • 市場預測
  • 量化與資產管理
    • 市場趨勢
    • 市場預測
  • 詐欺偵測
    • 市場趨勢
    • 市場預測
  • 其他
    • 市場趨勢
    • 市場預測

第 9 章：市場區隔：按地區

  • 北美洲
    • 美國
    • 加拿大
  • 亞太
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳洲
    • 印尼
    • 其他
  • 歐洲
    • 德國
    • 法國
    • 英國
    • 義大利
    • 西班牙
    • 俄羅斯
    • 其他
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 其他
  • 中東和非洲
    • 市場趨勢
    • 市場細分：按國家/地區
    • 市場預測

第 10 章：SWOT 分析

  • 概述
  • 優勢
  • 弱點
  • 機會
  • 威脅

第 11 章：價值鏈分析

第 12 章：波特五力分析

  • 概述
  • 買家的議價能力
  • 供應商的議價能力
  • 競爭程度
  • 新進入者的威脅
  • 替代品的威脅

第 13 章：價格分析

第14章：競爭格局

  • 市場結構
  • 關鍵參與者
  • 關鍵參與者簡介
    • Amazon Web Services Inc. (Amazon.com Inc)
    • Google LLC (Alphabet Inc.)
    • Inbenta Technologies Inc.
    • Intel Corporation
    • International Business Machines Corporation
    • Microsoft Corporation
    • Salesforce.com Inc.
    • Samsung Electronics Co. Ltd.
    • TIBCO Software Inc.
    • Trifacta
    • Verint Systems Inc.
Product Code: SR112024A4483

The global AI in fintech market size reached US$ 14.6 Billion in 2023. Looking forward, IMARC Group expects the market to reach US$ 87.7 Billion by 2032, exhibiting a growth rate (CAGR) of 20.9% during 2024-2032. The rapid technological advancements, rising demand for regulatory compliances, growing demand for personalized services, widespread adoption of AI in fintech to mitigate financial risks, increasing incidence of cyber fraud, and rising utilization of AI in fintech to automate financial processes are some of the major factors propelling the AI in fintech market growth.

AI in Fintech Market Analysis:

  • Market Growth and Size: The market is witnessing robust growth on account of the increasing demand for automation, along with the rising need to improve risk management.
  • Technological Advancements: The integration of advanced technologies, such as machine learning (ML) algorithms, natural language processing (NLP), and predictive analytics, is offering a positive market outlook.
  • Industry Applications: AI finds applications in various segments of the financial industry, including banking, insurance, wealth management, and trading.
  • Geographical Trends: North America leads the market, driven by the presence of major tech companies. However, Asia Pacific is emerging as a fast-growing market due to the increasing investments in AI technology.
  • Competitive Landscape: Partnerships between traditional financial institutions and technology companies are propelling the market growth.
  • Challenges and Opportunities: While the market faces challenges, such as data privacy concerns, it also encounters opportunities due to the rising focus on fraud detection.
  • Future Outlook: The future of the AI in fintech market looks promising, with the expansion of AI-powdered chatbots. Additionally, the increasing focus on developing ethical AI frameworks is expected to propel the market growth.

AI in Fintech Market Trends:

The rapid technological advancements

The integration of AI in fintech is heavily influenced by ongoing technological advancements. In line with this, the integration of machine learning (ML) algorithms to refine big data analytics and expand its potential applications within the financial sector is boosting the market growth. Furthermore, these innovations enable the accurate processing and interpretation of vast amounts of data at high speeds, providing real-time insights and automation capabilities. Moreover, the development of quantum computing and cloud technologies, which further enhance the computational power necessary for complex financial modeling, is fueling the market growth. Besides this, fintech companies are leveraging these advanced technologies to create personalized banking experiences, automated trading, and manage risks with unprecedented precision. In addition, technological advancements are not only driving efficiency but also opening doors to entirely new products and services.

The rising demand for regulatory compliance

The financial industry operates under a complex set of regulations that vary across jurisdictions. Compliance with these regulations is not just mandatory but also critical to maintaining consumer trust and the overall integrity of the financial system. In line with this, AI in fintech plays a vital role in ensuring regulatory compliance and automatically monitoring and analyzing millions of transactions to detect anomalies or non-compliance with relevant laws. Along with this, the integration of natural language processing (NLP) to interpret the ever-changing regulatory texts, ensuring that financial institutions are always up-to-date with the latest requirements, is positively influencing the market growth. Additionally, the automation of compliance processes reduces the potential for human error and enables a more responsive and adaptable approach to regulatory changes.

The growing demand for personalized services

The increasing consumer expectation for personalized experiences across all service sectors, including finance, is propelling the market growth. AI plays a crucial role in meeting this demand by analyzing vast amounts of customer data and identifying individual preferences, spending habits, and financial needs. Furthermore, this information is used to tailor financial products, offers, and advice to each customer. In addition, AI enables financial institutions to provide a personalized investment strategy or individualized loan offers through levels of customization that were previously unattainable. Apart from this, the widespread utilization of AI is aiding in enhancing customer loyalty, increasing engagement, and improving overall satisfaction. As a result, the adoption of AI in creating tailored financial solutions is not merely a trend but a fundamental shift in the way financial services are delivered.

AI in Fintech Industry Segmentation:

IMARC Group provides an analysis of the key trends in each segment of the global AI in fintech market report, along with AI in fintech market forecast at the global, regional and country levels from 2024-2032. Our report has categorized the market based on type, deployment model and application.

Breakup by Type:

  • Solutions
  • Services

Solutions dominate the market

The report has provided a detailed breakup and analysis of the market based on the type. This includes solutions and services. According to the report, solutions represented the largest segment.

AI solutions are dominating the market as they are designed to meet specific challenges within the financial industry, such as fraud detection, risk management, and customer service. Furthermore, they provide personalized service offerings, resulting in improved customer engagement and satisfaction. They also assist in understanding customer behavior and predicting their needs, thus facilitating tailored products and services. Apart from this, AI solutions are designed to integrate seamlessly with existing financial systems, which allows organizations to adopt AI without major overhauls, reducing resistance and encouraging adoption. Additionally, they can be scaled according to the business needs and market dynamics, which allows companies to grow and adapt without significant additional investment in technology. Moreover, AI solutions lead to cost savings by automating routine tasks and optimizing operational workflows.

Breakup by Deployment Model:

  • Cloud-based
  • On-premises

Cloud-based dominates the market

The report has provided a detailed breakup and analysis of the market based on the deployment model. This includes cloud-based and on-premises. According to the report, cloud-based represented the largest segment.

Cloud-based models offer a cost-effective solution as they reduce the need for physical infrastructure, facilitating the shift towards an operational expenditure model. Furthermore, they allow financial institutions to easily scale their AI applications according to demand. Additionally, cloud-based AI solutions provide access from anywhere with an internet connection, which enables a more flexible working environment for employees and allows for real-time global collaboration. Apart from this, they allow rapid implementation and iteration, enabling financial institutions to stay ahead in a fast-moving industry. Moreover, cloud providers have robust security measures and can assist with compliance requirements. In addition, cloud-based AI solutions offer smoother integration with existing systems and other cloud services, which enables financial organizations to create a cohesive technology ecosystem without significant customization or compatibility challenges.

Breakup by Application:

  • Virtual Assistant (Chatbots)
  • Credit Scoring
  • Quantitative and Asset Management
  • Fraud Detection
  • Others

The report has provided a detailed breakup and analysis of the market based on the application. This includes virtual assistant (chatbots), credit scoring, quantitative and asset management, fraud detection, and others.

Virtual assistants powered by AI can meet various customer expectations by providing constant customer service, handling inquiries, and resolving issues in real time. In addition, they can significantly reduce the labor costs associated with customer support by handling a high volume of queries simultaneously, thus freeing human resources to focus on more complex tasks. Furthermore, virtual assistants can provide personalized responses based on user profiles and past interactions. This level of personalization fosters a more engaging and satisfying customer experience.

AI plays a crucial role in the credit scoring process as it can analyze vast amounts of data, including historical credit information, transaction history, and social media behavior, allowing for a more comprehensive and accurate assessment of an individual's or business's creditworthiness. Furthermore, AI-driven credit scoring provides results in a matter of seconds, thus enabling faster loan approvals and enhancing customer satisfaction. Besides this, it can be tailored to suit the specific requirements and risk appetites of individual financial institutions.

Breakup by Region:

  • North America
    • United States
    • Canada
  • Asia-Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Indonesia
    • Others
  • Europe
    • Germany
    • France
    • United Kingdom
    • Italy
    • Spain
    • Russia
    • Others
  • Latin America
    • Brazil
    • Mexico
    • Others
  • Middle East and Africa

North America exhibits a clear dominance in the market, accounting for the largest AI in fintech market share

The report has also provided a comprehensive analysis of all the major regional markets, which includes North America (the United States and Canada); Asia Pacific (China, Japan, India, South Korea, Australia, Indonesia, and others); Europe (Germany, France, the United Kingdom, Italy, Spain, and others); Latin America (Brazil, Mexico, and others); and the Middle East and Africa. According to the report, North America represented the largest market segment.

North America hosts numerous technological innovation centers that foster a culture of innovation and entrepreneurship, leading to the development of cutting-edge AI technologies. In addition, the region has witnessed significant investment in research and development (R&D) initiatives from both private and public sectors to drive technological advancements and the commercialization of AI within fintech. Apart from this, North America's well-established financial industry, which provides a fertile ground for integrating AI, is positively influencing the market growth. Besides this, the imposition of supportive policies and regulations by regional governments, encouraging the responsible use of AI, is boosting the market growth. Moreover, the easy availability of skilled professionals with expertise in AI, ML, and data science is further bolstering the market growth.

Competitive Landscape:

Top firms are exploring new algorithms, methodologies, and technologies that can drive efficiency, security, and personalization in financial services. They are engaging in strategic partnerships with fintech startups and tech companies to develop cutting-edge solutions and foster innovation. Furthermore, several key players are implementing predictive analytics and machine learning (ML) models to provide insights into customer behavior, market trends, and risk management. In addition, top market companies are creating personalized services and products tailored to individual needs and preferences, including personalized banking, investment advice, and customized marketing strategies. Apart from this, leading firms are actively working to develop transparent and unbiased AI models, emphasizing ethical AI practices. Moreover, they are leveraging AI to provide financial services to underserved populations, using algorithms to assess creditworthiness differently or provide financial literacy through AI-driven tools.

The report has provided a comprehensive analysis of the competitive landscape in the market. Detailed profiles of all major companies have also been provided. Some of the key players in the market include:

  • Amazon Web Services Inc. (Amazon.com Inc)
  • Google LLC (Alphabet Inc.)
  • Inbenta Technologies Inc.
  • Intel Corporation
  • International Business Machines Corporation
  • Microsoft Corporation
  • Salesforce.com Inc.
  • Samsung Electronics Co. Ltd.
  • TIBCO Software Inc.
  • Trifacta
  • Verint Systems Inc.

Recent Developments:

  • In June 2023, Amazon Web Services Inc. (Amazon.com Inc) partnered with NVIDIA to launch the "Global FinTech Accelerator" program to jump-start early-stage fintech startups leveraging AI.
  • In June 2023, Google LLC (Alphabet Inc.) launched Anti Money Laundering AI (AML AI) to help global financial institutions more effectively and efficiently detect money laundering.
  • In January 2023, Inbenta Technologies Inc. secured US$ 40 Million to develop a comprehensive platform that tailors AI-driven solutions across industries, such as financial services, travel, e-commerce, insurance, etc.

Key Questions Answered in This Report

  • 1. How big is the global AI in fintech market?
  • 2. What is the expected growth rate of the global AI in fintech market during 2024-2032?
  • 3. What are the key factors driving the global AI in fintech market?
  • 4. What has been the impact of COVID-19 on the global AI in fintech market?
  • 5. What is the breakup of the global AI in fintech market based on the type?
  • 6. What is the breakup of the global AI in fintech market based on the deployment model?
  • 7. What are the key regions in the global AI in fintech market?
  • 8. Who are the key players/companies in the global AI in fintech market?

Table of Contents

1 Preface

2 Scope and Methodology

  • 2.1 Objectives of the Study
  • 2.2 Stakeholders
  • 2.3 Data Sources
    • 2.3.1 Primary Sources
    • 2.3.2 Secondary Sources
  • 2.4 Market Estimation
    • 2.4.1 Bottom-Up Approach
    • 2.4.2 Top-Down Approach
  • 2.5 Forecasting Methodology

3 Executive Summary

4 Introduction

  • 4.1 Overview
  • 4.2 Key Industry Trends

5 Global AI in Fintech Market

  • 5.1 Market Overview
  • 5.2 Market Performance
  • 5.3 Impact of COVID-19
  • 5.4 Market Forecast

6 Market Breakup by Type

  • 6.1 Solutions
    • 6.1.1 Market Trends
    • 6.1.2 Market Forecast
  • 6.2 Services
    • 6.2.1 Market Trends
    • 6.2.2 Market Forecast

7 Market Breakup by Deployment Model

  • 7.1 Cloud-based
    • 7.1.1 Market Trends
    • 7.1.2 Market Forecast
  • 7.2 On-premises
    • 7.2.1 Market Trends
    • 7.2.2 Market Forecast

8 Market Breakup by Application

  • 8.1 Virtual Assistant (Chatbots)
    • 8.1.1 Market Trends
    • 8.1.2 Market Forecast
  • 8.2 Credit Scoring
    • 8.2.1 Market Trends
    • 8.2.2 Market Forecast
  • 8.3 Quantitative and Asset Management
    • 8.3.1 Market Trends
    • 8.3.2 Market Forecast
  • 8.4 Fraud Detection
    • 8.4.1 Market Trends
    • 8.4.2 Market Forecast
  • 8.5 Others
    • 8.5.1 Market Trends
    • 8.5.2 Market Forecast

9 Market Breakup by Region

  • 9.1 North America
    • 9.1.1 United States
      • 9.1.1.1 Market Trends
      • 9.1.1.2 Market Forecast
    • 9.1.2 Canada
      • 9.1.2.1 Market Trends
      • 9.1.2.2 Market Forecast
  • 9.2 Asia-Pacific
    • 9.2.1 China
      • 9.2.1.1 Market Trends
      • 9.2.1.2 Market Forecast
    • 9.2.2 Japan
      • 9.2.2.1 Market Trends
      • 9.2.2.2 Market Forecast
    • 9.2.3 India
      • 9.2.3.1 Market Trends
      • 9.2.3.2 Market Forecast
    • 9.2.4 South Korea
      • 9.2.4.1 Market Trends
      • 9.2.4.2 Market Forecast
    • 9.2.5 Australia
      • 9.2.5.1 Market Trends
      • 9.2.5.2 Market Forecast
    • 9.2.6 Indonesia
      • 9.2.6.1 Market Trends
      • 9.2.6.2 Market Forecast
    • 9.2.7 Others
      • 9.2.7.1 Market Trends
      • 9.2.7.2 Market Forecast
  • 9.3 Europe
    • 9.3.1 Germany
      • 9.3.1.1 Market Trends
      • 9.3.1.2 Market Forecast
    • 9.3.2 France
      • 9.3.2.1 Market Trends
      • 9.3.2.2 Market Forecast
    • 9.3.3 United Kingdom
      • 9.3.3.1 Market Trends
      • 9.3.3.2 Market Forecast
    • 9.3.4 Italy
      • 9.3.4.1 Market Trends
      • 9.3.4.2 Market Forecast
    • 9.3.5 Spain
      • 9.3.5.1 Market Trends
      • 9.3.5.2 Market Forecast
    • 9.3.6 Russia
      • 9.3.6.1 Market Trends
      • 9.3.6.2 Market Forecast
    • 9.3.7 Others
      • 9.3.7.1 Market Trends
      • 9.3.7.2 Market Forecast
  • 9.4 Latin America
    • 9.4.1 Brazil
      • 9.4.1.1 Market Trends
      • 9.4.1.2 Market Forecast
    • 9.4.2 Mexico
      • 9.4.2.1 Market Trends
      • 9.4.2.2 Market Forecast
    • 9.4.3 Others
      • 9.4.3.1 Market Trends
      • 9.4.3.2 Market Forecast
  • 9.5 Middle East and Africa
    • 9.5.1 Market Trends
    • 9.5.2 Market Breakup by Country
    • 9.5.3 Market Forecast

10 SWOT Analysis

  • 10.1 Overview
  • 10.2 Strengths
  • 10.3 Weaknesses
  • 10.4 Opportunities
  • 10.5 Threats

11 Value Chain Analysis

12 Porters Five Forces Analysis

  • 12.1 Overview
  • 12.2 Bargaining Power of Buyers
  • 12.3 Bargaining Power of Suppliers
  • 12.4 Degree of Competition
  • 12.5 Threat of New Entrants
  • 12.6 Threat of Substitutes

13 Price Analysis

14 Competitive Landscape

  • 14.1 Market Structure
  • 14.2 Key Players
  • 14.3 Profiles of Key Players
    • 14.3.1 Amazon Web Services Inc. (Amazon.com Inc)
      • 14.3.1.1 Company Overview
      • 14.3.1.2 Product Portfolio
      • 14.3.1.3 SWOT Analysis
    • 14.3.2 Google LLC (Alphabet Inc.)
      • 14.3.2.1 Company Overview
      • 14.3.2.2 Product Portfolio
    • 14.3.3 Inbenta Technologies Inc.
      • 14.3.3.1 Company Overview
      • 14.3.3.2 Product Portfolio
      • 14.3.3.3 SWOT Analysis
    • 14.3.4 Intel Corporation
      • 14.3.4.1 Company Overview
      • 14.3.4.2 Product Portfolio
    • 14.3.5 International Business Machines Corporation
      • 14.3.5.1 Company Overview
      • 14.3.5.2 Product Portfolio
      • 14.3.5.3 Financials
      • 14.3.5.4 SWOT Analysis
    • 14.3.6 Microsoft Corporation
      • 14.3.6.1 Company Overview
      • 14.3.6.2 Product Portfolio
      • 14.3.6.3 Financials
      • 14.3.6.4 SWOT Analysis
    • 14.3.7 Salesforce.com Inc.
      • 14.3.7.1 Company Overview
      • 14.3.7.2 Product Portfolio
      • 14.3.7.3 Financials
      • 14.3.7.4 SWOT Analysis
    • 14.3.8 Samsung Electronics Co. Ltd.
      • 14.3.8.1 Company Overview
      • 14.3.8.2 Product Portfolio
      • 14.3.8.3 Financials
      • 14.3.8.4 SWOT Analysis
    • 14.3.9 TIBCO Software Inc.
      • 14.3.9.1 Company Overview
      • 14.3.9.2 Product Portfolio
      • 14.3.9.3 Financials
      • 14.3.9.4 SWOT Analysis
    • 14.3.10 Trifacta
      • 14.3.10.1 Company Overview
      • 14.3.10.2 Product Portfolio
      • 14.3.10.3 SWOT Analysis
    • 14.3.11 Verint Systems Inc.
      • 14.3.11.1 Company Overview
      • 14.3.11.2 Product Portfolio

List of Figures

  • Figure 1: Global: AI in Fintech Market: Major Drivers and Challenges
  • Figure 2: Global: AI in Fintech Market: Sales Value (in Billion US$), 2018-2023
  • Figure 3: Global: AI in Fintech Market Forecast: Sales Value (in Billion US$), 2024-2032
  • Figure 4: Global: AI in Fintech Market: Breakup by Type (in %), 2023
  • Figure 5: Global: AI in Fintech Market: Breakup by Deployment Model (in %), 2023
  • Figure 6: Global: AI in Fintech Market: Breakup by Application (in %), 2023
  • Figure 7: Global: AI in Fintech Market: Breakup by Region (in %), 2023
  • Figure 8: Global: AI in Fintech (Solutions) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 9: Global: AI in Fintech (Solutions) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 10: Global: AI in Fintech (Services) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 11: Global: AI in Fintech (Services) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 12: Global: AI in Fintech (Cloud-based) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 13: Global: AI in Fintech (Cloud-based) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 14: Global: AI in Fintech (On-premises) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 15: Global: AI in Fintech (On-premises) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 16: Global: AI in Fintech (Virtual Assistant-Chatbots) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 17: Global: AI in Fintech (Virtual Assistant-Chatbots) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 18: Global: AI in Fintech (Credit Scoring) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 19: Global: AI in Fintech (Credit Scoring) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 20: Global: AI in Fintech (Quantitative and Asset Management) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 21: Global: AI in Fintech (Quantitative and Asset Management) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 22: Global: AI in Fintech (Fraud Detection) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 23: Global: AI in Fintech (Fraud Detection) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 24: Global: AI in Fintech (Other Applications) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 25: Global: AI in Fintech (Other Applications) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 26: North America: AI in Fintech Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 27: North America: AI in Fintech Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 28: United States: AI in Fintech Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 29: United States: AI in Fintech Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 30: Canada: AI in Fintech Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 31: Canada: AI in Fintech Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 32: Asia-Pacific: AI in Fintech Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 33: Asia-Pacific: AI in Fintech Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 34: China: AI in Fintech Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 35: China: AI in Fintech Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 36: Japan: AI in Fintech Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 37: Japan: AI in Fintech Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 38: India: AI in Fintech Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 39: India: AI in Fintech Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 40: South Korea: AI in Fintech Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 41: South Korea: AI in Fintech Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 42: Australia: AI in Fintech Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 43: Australia: AI in Fintech Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 44: Indonesia: AI in Fintech Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 45: Indonesia: AI in Fintech Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 46: Others: AI in Fintech Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 47: Others: AI in Fintech Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 48: Europe: AI in Fintech Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 49: Europe: AI in Fintech Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 50: Germany: AI in Fintech Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 51: Germany: AI in Fintech Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 52: France: AI in Fintech Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 53: France: AI in Fintech Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 54: United Kingdom: AI in Fintech Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 55: United Kingdom: AI in Fintech Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 56: Italy: AI in Fintech Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 57: Italy: AI in Fintech Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 58: Spain: AI in Fintech Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 59: Spain: AI in Fintech Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 60: Russia: AI in Fintech Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 61: Russia: AI in Fintech Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 62: Others: AI in Fintech Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 63: Others: AI in Fintech Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 64: Latin America: AI in Fintech Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 65: Latin America: AI in Fintech Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 66: Brazil: AI in Fintech Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 67: Brazil: AI in Fintech Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 68: Mexico: AI in Fintech Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 69: Mexico: AI in Fintech Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 70: Others: AI in Fintech Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 71: Others: AI in Fintech Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 72: Middle East and Africa: AI in Fintech Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 73: Middle East and Africa: AI in Fintech Market: Breakup by Country (in %), 2023
  • Figure 74: Middle East and Africa: AI in Fintech Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 75: Global: AI in Fintech Industry: SWOT Analysis
  • Figure 76: Global: AI in Fintech Industry: Value Chain Analysis
  • Figure 77: Global: AI in Fintech Industry: Porter's Five Forces Analysis

List of Tables

  • Table 1: Global: AI in Fintech Market: Key Industry Highlights, 2023 and 2032
  • Table 2: Global: AI in Fintech Market Forecast: Breakup by Type (in Million US$), 2024-2032
  • Table 3: Global: AI in Fintech Market Forecast: Breakup by Deployment Model (in Million US$), 2024-2032
  • Table 4: Global: AI in Fintech Market Forecast: Breakup by Application (in Million US$), 2024-2032
  • Table 5: Global: AI in Fintech Market Forecast: Breakup by Region (in Million US$), 2024-2032
  • Table 6: Global: AI in Fintech Market: Competitive Structure
  • Table 7: Global: AI in Fintech Market: Key Players