全球金融科技人工智慧 (AI) 市场规模（按产品、应用、部署、区域范围和预测）

金融科技领域人工智慧（AI）的市场规模及预测

预计金融科技人工智慧 (AI) 市场规模在 2024 年将达到 79.8 亿美元，到 2032 年将达到 327.6 亿美元，在 2026-2032 年预测期内的复合年增长率为 21.37%。

战略市场联盟的增加导致用于开发和成长先进自动化技术和机器以打击诈欺的资金增加。此外，研发活动投资水准的提高可能会为资讯科技的进步铺路。全球金融科技市场人工智慧 (AI) 报告对市场进行了全面评估。它对关键细分市场、趋势、市场驱动因素、竞争格局以及在市场中发挥关键作用的因素进行了全面的分析。

定义金融科技领域的全球人工智慧（AI）市场

金融科技（Fintech）是在金融服务中采用现代技术来自动化或改善投资和银行业务。人工智慧（AI）正被金融机构广泛用于检测和防止透过数位银行管道进行的诈欺活动。这包括数位贷款、行动银行、信用评分、保险、业务、资产管理等。人工智慧技术可以透过监控客户的沟通方式并考虑他们的交易来确定客户的典型行为。

金融业务对流程自动化日益增长的需求促进了这一发展。同样，认知过程自动化使用人工智慧来帮助执行更复杂的自动化过程。随着人工智慧（AI）和机器学习（MI）在金融科技领域的广泛应用，人工智慧已迅速成为金融服务不可或缺的一部分。此外，机器学习和人工智慧技术的日益整合可能会进一步有利于市场。

全球金融科技人工智慧（AI）市场概览

金融机构和金融科技公司对诈欺侦测的需求正在刺激金融科技领域人工智慧 (AI) 市场的成长。机器学习，或称人工智慧演算法，能够从收集的资讯中学习新数据；人工智慧处理的数据越多，它就能学到越多，银行就能从人工智慧技术中获得更深入的洞察力。人工智慧的一个关键优势是，随着时间的推移，演算法会收集更多数据并了解更多有关如何使用这些数据的知识。其优点是，它从你引入人工智慧的那一刻起就开始持续发展，而不会中断你的贡献。

英国金融服务供应商普华永道2022年的一项调查显示，46%的受访机构表示，过去24个月内发生了腐败、诈骗或其他经济犯罪。金融科技中诈欺侦测的需求将推动金融科技中人工智慧市场的发展。然而，日益严格的监管要求以及有限的技术专长限制了市场的成长。同样，金融科技领域开发人工智慧的技术纯熟劳工短缺预计也将限制市场成长。

都市化、全球化和现代化的不断推进推动着市场规模的成长。换句话说，中小企业越来越意识到云端基础的防火墙对发展其基础设施的好处，尤其是在新兴经济体中，这为发展提供了许多机会。此外，工业基础设施的兴起和提供服务的供应商数量的减少、简化安装和集中管理策略的采用率的提高以及组织资料集规模的扩大也在推动市场的发展。

目录

第一章 金融科技领域人工智慧（AI）的全球市场应用

• 市场概览
• 研究范围
• 先决条件

第二章执行摘要

第三章：已验证的市场研究调查方法

• 资料探勘
• 验证
• 第一手资料
• 资料来源列表

第四章 金融科技领域人工智慧（AI）的全球市场展望

• 概述
• 市场动态
  • 驱动程式
  • 限制因素
  • 机会
• 波特五力模型
• 价值链分析

第五章 全球金融科技市场中的人工智慧（AI）依产品分类

• 概述
• 服务
• 解决方案

第六章 全球金融科技人工智慧 (AI) 市场的应用

• 概述
• 虚拟助理（聊天机器人）
• 业务分析和彙报
• 客户行为分析
• 诈欺侦测
• 量化分析与资产管理
• 其他的

第七章 金融科技领域的全球人工智慧 (AI) 市场（按部署）

• 概述
• 云
• 本地

8. 全球金融科技市场人工智慧（AI）区域分布

• 概述
• 北美洲
  • 美国
  • 加拿大
  • 墨西哥
• 欧洲
  • 德国
  • 英国
  • 法国
  • 其他欧洲国家
• 亚太地区
  • 中国
  • 日本
  • 印度
  • 其他亚太地区
• 其他的
  • 拉丁美洲
  • 中东和非洲

第九章全球金融科技人工智慧（AI）市场竞争格局

• 概述
• 各公司市场排名
• 重点发展策略

第十章 公司简介

• Microsoft Corporation
• Google
• IBM Corporation
• Intel Corporation
• Airtrends
• Amazon Web Services
• EdgeVerve Systems Limited
• Inbenta Technologies
• IPsoft
• Salesforce Inc.
• Nuance Communication
• Samsung
• Next IT Corporation
• Comply Advantages

第十一章 重大进展

• 产品发布/开发
• 合併与收购
• 业务扩展
• 伙伴关係与合作

第十二章 附录

• 相关调查

Artificial Intelligence (AI) In Fintech Market Size And Forecast

Artificial Intelligence (AI) In Fintech Market size was valued at USD 7.98 Billion in 2024 and is projected to reach USD 32.76 Billion by 2032, growing at a CAGR of 21.37% from 2026-2032.

The growing number of strategic market collaborations has resulted in an increase in funds to be allocated for the development and growth of automated and advanced technology/ machinery against fraudulent activities. Moreover, a rise in the level of investment for research and development activities would carve the way for advances in information technology. The Global Artificial Intelligence (AI) In Fintech Market report provides a holistic evaluation of the market. The report offers a comprehensive analysis of key segments, trends, drivers, restraints, competitive landscape, and factors that are playing a substantial role in the market.

Global Artificial Intelligence (AI) In Fintech Market Definition

Financial Technology, or Fintech, employs modern technology in financial services to automate or improve investing and banking activities. Artificial intelligence (AI) is broadly used in financial organizations to detect and avoid fraud through digital banking channels. Digital loans, mobile banking, credit scores, insurance, selling and purchasing operations, and asset management are all included. AI technology can decide a customer's typical behavior by monitoring how they communicate and considering their transactions.

The growing demand for process automation in financial businesses contributes to the development of the market. Likewise, cognitive process automation aids AI in performing even more complex automation processes. Owing to the broad usage of AI and MI (machine learning) in fintech, it has become a vital part of financial services within a short time. Additionally, the growing integration of machine learning and artificial intelligence technologies will further prove to be a benefit for the market.

Global Artificial Intelligence (AI) In Fintech Market Overview

The requirement for fraud detection in financial institutions or fintech is adding to the growth of Artificial Intelligence (AI) In Fintech Market. Machine learning, or artificial intelligence algorithms, can learn new data from the information collected, the more data which AI manipulates, the more AI can be learned, and the banks can obtain deeper insights with AI technology. The main advantage of AI is that over time the algorithm builds on gathering more data and learning more regarding how to use it. The benefit is that it starts the moment the AI is installed and continues to develop without interruption of contribution.

As per PricewaterhouseCoopers's survey in 2022, a UK-based financial service supplier, in the previous 24 months, corruption, fraud, or other economic crimes were stated by 46% of the organizations polled. The requirement for fraud detection in fintech boosts the market for AI in fintech. However, the growing number of multiple regulatory compliances together with limited technical expertise will create limitations for the growth of the market. Similarly, the lack of skilled workers to develop artificial intelligence in fintech is expected to narrow down the scope of market growth.

Growing urbanization, globalization, and modernization boost market value growth. In other words, rising awareness regarding the benefits of cloud-based firewalls amongst small and medium size enterprises particularly in emerging economies to develop the infrastructure will offer many opportunities for the development of the market. Additionally, rising industrial infrastructure and the prevalence of a low number of vendors providing services, the growing adoption of simplified installation and centralized policy management, and the larger volume of the organizational data set are other market growth drivers.

Global Artificial Intelligence (AI) In Fintech Market Segmentation Analysis

The Global Artificial Intelligence (AI) In Fintech Market is segmented on the basis of Offering, Application, Deployment, And Geography.

Artificial Intelligence (AI) In Fintech Market, By Offering

• Services
• Solutions

Based on Offering, The market is bifurcated into Services and Solutions. The Solutions segment dominated the market for Artificial Intelligence in Fintech in 2021. The high share can be owing to software tools, as they help in deploying AI-enabled solutions in the banking sector to extract complete and correct data with a considerable amount of data and on time. Some companies' solutions help businesses in doing things, such as increasing the retail banking industry with next-best-action software, enhancing client connections with multichannel consumer experience solutions, and detecting & combating financial fraud.

Artificial Intelligence (AI) In Fintech Market, By Application

• Virtual Assistant (Chatbots)
• Business Analytics and Reporting
• Customer Behavioural Analytics
• Fraud Detection
• Quantitative and Asset Management
• Others

Based on Application, The market is segmented into Virtual Assistant (Chatbots), Business Analytics and Reporting, Customer Behavioural Analytics, Fraud Detection, Quantitative and Asset Management, and Others. The On-premise segment dominated the market for Artificial Intelligence in Fintech in 2021. Business analytics and reporting help in compliance and regulatory management and consumer behavior analysis. The segment's rise can be owing to various factors, including more informed decision-making, increased operational efficiency, and increased revenue. Various companies use big data, AI, and business analytics to make better business decisions.

Artificial Intelligence (AI) In Fintech Market, By Deployment

• Cloud
• On-Premise

Based on Deployment, The market is bifurcated into Cloud and On-Premise. The On-premise segment dominated the market for Artificial Intelligence in Fintech in 2021. On-premise deployment helps enterprises in installing services or software on a financial institution's systems or premises. Artificial intelligence is still in its developing stage and its impact may be more important in the near future. With the adoption of AI in the finance industry, several startups are giving tough competition to big players. Remarkable growth is projected in the fintech sector with the development of other technologies, such as cybersecurity and blockchain along with AI.

Artificial Intelligence (AI) In Fintech Market, By Geography

• North America
• Europe
• Asia Pacific
• Latin America
• Middle East and Africa

Based on Regional Analysis, the Global Artificial Intelligence (AI) In Fintech Market is classified into North America, Europe, Asia Pacific, Latin America, the Middle East, and Africa. The North American region has the greatest market share and is expected to grow at the highest CAGR over the forecast period. 2021. This high share can be owing to a strong focus on R&D-derived inventions in the developed nations of the U.S. and Canada. Moreover, as market conditions become growingly challenging, AI has the potential to help to sustain FinTech and drive new growth by generating operating efficiencies and transforming the consumer experience through more hyper-personalized products and insights.

Key Players

The "Global Artificial Intelligence (AI) In Fintech Market" study report will provide valuable insight with an emphasis on the global market. The major players in the market are Microsoft Corporation, Google, Salesforce Inc., IBM Corporation, Intel Corporation, Airtrends, Amazon Web Services, EdgeVerve Systems Limited, Inbenta Technologies, IPsoft, Nuance Communication, Samsung, Next IT Corporation, and Comply Advantages.

Our market analysis also entails a section solely dedicated to such major players wherein our analysts provide an insight into the financial statements of all the major players, along with product benchmarking and SWOT analysis. The competitive landscape section also includes key development strategies, market share, and market ranking analysis of the above-mentioned players globally.

Key Developments

• In March 2024, InsurTech startup i3systems collaborated with Microsoft Azure for AI programme and deliver industry-leading accuracy in document and data intelligence for crucial BFSI processes.
• In June 2022, Virgin Money and SurePay partnered to protect consumers against fraud and misdirected online payments. SurePay's Confirmation of Payee (CoP) service is a real-time name-checking solution that gives UK payers greater assurance that their payments are going to the intended recipient.
• In February 2021, Microsoft has launched a cloud for the finance industry housed on an integrated platform that includes Microsoft 365, Azure, Dynamics 365, and Microsoft Power Platform. The public preview of the new service will be available on 31 March 2021, featuring specific capabilities for retail banking and broader industry services.
• Ace Matrix Analysis
• The Ace Matrix provided in the report would help to understand how the major key players involved in this industry are performing as we provide a ranking for these companies based on various factors such as service features & innovations, scalability, innovation of services, industry coverage, industry reach, and growth roadmap. Based on these factors, we rank the companies into four categories as Active, Cutting Edge, Emerging, and Innovators.
• Market Attractiveness
• The image of market attractiveness provided would further help to get information about the region that is majorly leading in the Global Artificial Intelligence (AI) In Fintech Market. We cover the major impacting factors that are responsible for driving the industry growth in the given region.
• Porter's Five Forces
• The image provided would further help to get information about Porter's five forces framework providing a blueprint for understanding the behavior of competitors and a player's strategic positioning in the respective industry. The porter's five forces model can be used to assess the competitive landscape in Global Artificial Intelligence (AI) In Fintech Market gauge the attractiveness of a certain sector, and assess investment possibilities.

TABLE OF CONTENTS

1 INTRODUCTION OF GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN FINTECH MARKET

• 1.1 Overview of the Market
• 1.2 Scope of Report
• 1.3 Assumptions

2 EXECUTIVE SUMMARY

3 RESEARCH METHODOLOGY OF VERIFIED MARKET RESEARCH

• 3.1 Data Mining
• 3.2 Validation
• 3.3 Primary Interviews
• 3.4 List of Data Sources

4 GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN FINTECH MARKET OUTLOOK

• 4.1 Overview
• 4.2 Market Dynamics
  • 4.2.1 Drivers
  • 4.2.2 Restraints
  • 4.2.3 Opportunities
• 4.3 Porters Five Force Model
• 4.4 Value Chain Analysis

5 GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN FINTECH MARKET, BY OFFERING

• 5.1 Overview
• 5.2 Services
• 5.3 Solutions

6 GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN FINTECH MARKET, BY APPLICATION

• 6.1 Overview
• 6.2 Virtual Assistant (Chatbots)
• 6.3 Business Analytics and Reporting
• 6.4 Customer Behavioural Analytics
• 6.5 Fraud Detection
• 6.6 Quantitative and Asset Management
• 6.7 Others

7 GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN FINTECH MARKET, BY DEPLOYMENT

• 7.1 Overview
• 7.2 Cloud
• 7.3 On-Premise

8 GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN FINTECH MARKET, BY GEOGRAPHY

• 8.1 Overview
• 8.2 North America
  • 8.2.1 U.S.
  • 8.2.2 Canada
  • 8.2.3 Mexico
• 8.3 Europe
  • 8.3.1 Germany
  • 8.3.2 U.K.
  • 8.3.3 France
  • 8.3.4 Rest of Europe
• 8.4 Asia Pacific
  • 8.4.1 China
  • 8.4.2 Japan
  • 8.4.3 India
  • 8.4.4 Rest of Asia Pacific
• 8.5 Rest of the World
  • 8.5.1 Latin America
  • 8.5.2 Middle East & Africa

9 GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN FINTECH MARKET COMPETITIVE LANDSCAPE

• 9.1 Overview
• 9.2 Company Market Ranking
• 9.3 Key Development Strategies

10 COMPANY PROFILES

• 10.1 Microsoft Corporation
  • 10.1.1 Overview
  • 10.1.2 Financial Performance
  • 10.1.3 Product Outlook
  • 10.1.4 Key Developments
• 10.2 Google
  • 10.2.1 Overview
  • 10.2.2 Financial Performance
  • 10.2.3 Product Outlook
  • 10.2.4 Key Developments
• 10.3 IBM Corporation
  • 10.3.1 Overview
  • 10.3.2 Financial Performance
  • 10.3.3 Product Outlook
  • 10.3.4 Key Developments
• 10.4 Intel Corporation
  • 10.4.1 Overview
  • 10.4.2 Financial Performance
  • 10.4.3 Product Outlook
  • 10.4.4 Key Developments
• 10.5 Airtrends
  • 10.5.1 Overview
  • 10.5.2 Financial Performance
  • 10.5.3 Product Outlook
  • 10.5.4 Key Developments
• 10.6 Amazon Web Services
  • 10.6.1 Overview
  • 10.6.2 Financial Performance
  • 10.6.3 Product Outlook
  • 10.6.4 Key Developments
• 10.7 EdgeVerve Systems Limited
  • 10.7.1 Overview
  • 10.7.2 Financial Performance
  • 10.7.3 Product Outlook
  • 10.7.4 Key Developments
• 10.8 Inbenta Technologies
  • 10.8.1 Overview
  • 10.8.2 Financial Performance
  • 10.8.3 Product Outlook
  • 10.8.4 Key Developments
• 10.9 IPsoft
  • 10.9.1 Overview
  • 10.9.2 Financial Performance
  • 10.9.3 Product Outlook
  • 10.9.4 Key Developments
• 10.10 Salesforce Inc.
  • 10.10.1 Overview
  • 10.10.2 Financial Performance
  • 10.10.3 Product Outlook
  • 10.10.4 Key Developments
• 10.11 Nuance Communication
  • 10.11.1 Overview
  • 10.11.2 Financial Performance
  • 10.11.3 Product Outlook
  • 10.11.4 Key Developments
• 10.12 Samsung
  • 10.12.1 Overview
  • 10.12.2 Financial Performance
  • 10.12.3 Product Outlook
  • 10.12.4 Key Developments
• 10.13 Next IT Corporation
  • 10.13.1 Overview
  • 10.13.2 Financial Performance
  • 10.13.3 Product Outlook
  • 10.13.4 Key Developments
• 10.14 Comply Advantages
  • 10.14.1 Overview
  • 10.14.2 Financial Performance
  • 10.14.3 Product Outlook
  • 10.14.4 Key Developments

11 KEY DEVELOPMENTS

• 11.1 Product Launches/Developments
• 11.2 Mergers and Acquisitions
• 11.3 Business Expansions
• 11.4 Partnerships and Collaborations

12 Appendix

• 12.1 Related Research