全球金融科技人工智慧 (AI) 市場規模（按產品、應用、部署、區域範圍和預測）

金融科技領域人工智慧（AI）的市場規模及預測

預計金融科技人工智慧 (AI) 市場規模在 2024 年將達到 79.8 億美元，到 2032 年將達到 327.6 億美元，在 2026-2032 年預測期內的複合年成長率為 21.37%。

戰略市場聯盟的增加導致用於開發和成長先進自動化技術和機器以打擊詐欺的資金增加。此外，研發活動投資水準的提高可能會為資訊科技的進步鋪路。全球金融科技市場人工智慧 (AI) 報告對市場進行了全面評估。它對關鍵細分市場、趨勢、市場促進因素、競爭格局以及在市場中發揮關鍵作用的因素進行了全面的分析。

定義金融科技領域的全球人工智慧（AI）市場

金融科技（Fintech）是在金融服務中採用現代技術來自動化或改善投資和銀行業務。人工智慧（AI）正被金融機構廣泛用於檢測和防止透過數位銀行管道進行的詐欺活動。這包括數位貸款、行動銀行、信用評分、保險、業務、資產管理等。人工智慧技術可以透過監控客戶的溝通方式並考慮他們的交易來確定客戶的典型行為。

金融業務對流程自動化日益成長的需求促進了這一發展。同樣，認知過程自動化使用人工智慧來幫助執行更複雜的自動化過程。隨著人工智慧（AI）和機器學習（MI）在金融科技領域的廣泛應用，人工智慧已迅速成為金融服務不可或缺的一部分。此外，機器學習和人工智慧技術的日益整合可能會進一步有利於市場。

全球金融科技人工智慧（AI）市場概覽

金融機構和金融科技公司對詐欺偵測的需求正在刺激金融科技領域人工智慧 (AI) 市場的成長。機器學習，或稱人工智慧演算法，能夠從收集的資訊中學習新數據；人工智慧處理的數據越多，它就能學到越多，銀行就能從人工智慧技術中獲得更深入的洞察力。人工智慧的一個關鍵優勢是，隨著時間的推移，演算法會收集更多數據並了解更多有關如何使用這些數據的知識。其優點是，它從你引入人工智慧的那一刻起就開始持續發展，而不會中斷你的貢獻。

英國金融服務供應商普華永道2022年的一項調查顯示，46%的受訪機構表示，過去24個月內發生了腐敗、詐騙或其他經濟犯罪。金融科技中詐欺偵測的需求將推動金融科技中人工智慧市場的發展。然而，日益嚴格的監管要求以及有限的技術專長限制了市場的成長。同樣，金融科技領域開發人工智慧的技術純熟勞工短缺預計也將限制市場成長。

都市化、全球化和現代化的不斷推進推動著市場規模的成長。換句話說，中小企業越來越意識到雲端基礎的防火牆對發展其基礎設施的好處，尤其是在新興經濟體中，這為發展提供了許多機會。此外，工業基礎設施的興起和提供服務的供應商數量的減少、簡化安裝和集中管理策略的採用率的提高以及組織資料集規模的擴大也在推動市場的發展。

目錄

第1章 金融科技領域人工智慧（AI）的全球市場應用

• 市場概覽
• 研究範圍
• 先決條件

第2章執行摘要

第3章：已驗證的市場研究調查方法

• 資料探勘
• 驗證
• 第一手資料
• 資料來源列表

第4章 金融科技領域人工智慧（AI）的全球市場展望

• 概述
• 市場動態
  • 驅動程式
  • 限制因素
  • 機會
• 波特五力模型
• 價值鏈分析

第5章 全球金融科技市場中的人工智慧（AI）依產品分類

• 概述
• 服務
• 解決方案

第6章 全球金融科技人工智慧 (AI) 市場的應用

• 概述
• 虛擬助理（聊天機器人）
• 業務分析和彙報
• 客戶行為分析
• 詐欺偵測
• 量化分析與資產管理
• 其他

第7章 金融科技領域的全球人工智慧 (AI) 市場（按部署）

• 概述
• 雲
• 本地

8. 全球金融科技市場人工智慧（AI）區域分佈

• 概述
• 北美洲
  • 美國
  • 加拿大
  • 墨西哥
• 歐洲
  • 德國
  • 英國
  • 法國
  • 其他歐洲國家
• 亞太地區
  • 中國
  • 日本
  • 印度
  • 其他亞太地區
• 其他
  • 拉丁美洲
  • 中東和非洲

第9章全球金融科技人工智慧（AI）市場競爭格局

• 概述
• 各公司市場排名
• 重點發展策略

第10章 公司簡介

• 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11章 重大進展

• 產品發布/開發
• 合併與收購
• 業務擴展
• 夥伴關係與合作

第12章 附錄

• 相關調查

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