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フィンテックにおける人工知能（AI）の世界市場規模：オファリング別、用途別、展開別、地域範囲別および予測

Global Artificial Intelligence (AI) In Fintech Market Size By Offering (Services, Solutions), By Application (Credit Scoring, Fraud Detection), By Deployment (Cloud, On-Premise), By Geographic Scope And Forecast

出版日
ページ情報
英文 202 Pages
納期
2～3営業日
価格
価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=144.76円
フィンテックにおける人工知能（AI）の世界市場規模：オファリング別、用途別、展開別、地域範囲別および予測
出版日: 2025年05月14日
発行: Verified Market Research
ページ情報: 英文 202 Pages
納期: 2～3営業日
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  • 概要
  • 目次
概要

フィンテックにおける人工知能（AI）の市場規模と予測

フィンテックにおける人工知能（AI）市場規模は、2024年に79億8,000万米ドルと評価され、2026～2032年にかけて21.37%のCAGRで成長し、2032年には327億6,000万米ドルに達すると予測されます。

戦略的市場提携の増加により、不正行為に対抗する自動化された先端技術・機械の開発・成長に割り当てられる資金が増加しています。さらに、研究開発活動への投資レベルの上昇は、情報技術の進歩への道を切り開くと考えられます。フィンテックにおける人工知能（AI）の世界市場レポートは、市場の全体的な評価を記載しています。主要セグメント、動向、市場促進要因、競合情勢、市場で重要な役割を果たしている要因などを包括的に分析しています。

世界のフィンテックにおける人工知能（AI）市場の定義

金融技術（Fintech）とは、投資や銀行業務を自動化または改善するために、金融サービスに最新の技術を採用したものです。人工知能（AI）は、デジタルバンキングチャネルを通じて不正行為を検知・回避するために、金融機関で幅広く利用されています。デジタルローン、モバイルバンキング、クレジット・スコア、保険、売買業務、資産管理などが含まれます。AI技術は、顧客のコミュニケーション方法をモニタリングし、取引を考慮することで、顧客の典型的な行動を決定することができます。

金融ビジネスにおけるプロセス自動化の需要の高まりは、開発に貢献しています。同様に、コグニティブプロセスオートメーションは、AIがさらに複雑なオートメーションプロセスを実行するのを支援します。フィンテックにおけるAIとMI（機械学習）の幅広い利用により、AIは短期間で金融サービスの重要な一部となりました。さらに、機械学習と人工知能技術の統合が進むことで、市場にとってのメリットがさらに証明されると考えられます。

世界のフィンテックにおける人工知能（AI）市場概要

金融機関やフィンテックにおける不正検知の要件が、フィンテックにおける人工知能（AI）市場の成長に拍車をかけています。機械学習、すなわち人工知能アルゴリズムは、収集した情報から新たなデータを学習することができ、AIが操作するデータが多ければ多いほど、より多くのAIを学習することができ、銀行はAI技術によってより深い洞察を得ることができます。AIの主要利点は、時間の経過とともにアルゴリズムがより多くのデータを収集し、その使用方法に関してより多くを学習することです。その利点は、AIを導入した瞬間から始まり、貢献を中断することなく開発を続けることです。

プライスウォーターハウスクーパース（PricewaterhouseCoopers）が2022年に実施した調査によると、英国の金融サービスサプライヤーであるPricewaterhouseCoopersは、過去24ヶ月間に汚職、詐欺、その他の経済犯罪が発生したと、調査対象の46％の組織で述べています。フィンテックにおける不正検知の要件は、フィンテックにおけるAIの市場を押し上げます。しかし、限られた技術的専門知識とともに、複数の規制遵守事項が増加しているため、市場の成長には限界があります。同様に、フィンテックにおける人工知能を開発する熟練労働者の不足も、市場成長の幅を狭めると予想されます。

都市化の進展、グローバリゼーション、近代化は市場規模の成長を後押しします。言い換えれば、特に新興経済諸国では、インフラを整備するために中小企業の間でクラウドベースのファイアウォールの利点に関する認識が高まっており、開発に多くの機会を記載しています。加えて、産業インフラの台頭とサービスを提供するベンダー数の少なさ、インストールの簡素化と施策の一元管理の採用拡大、組織データセットの大容量化なども市場促進要因となっています。

目次

第1章 フィンテックにおける人工知能（AI）の世界市場導入

  • 市場概要
  • 調査範囲
  • 前提条件

第2章 エグゼクティブサマリー

第3章 VERIFIED MARKET RESEARCHの調査手法

  • データマイニング
  • バリデーション
  • 一次資料
  • データソース一覧

第4章 フィンテックにおける人工知能（AI）の世界市場展望

  • 概要
  • 市場力学
    • 促進要因
    • 抑制要因
    • 機会
  • ポーターのファイブフォースモデル
  • バリューチェーン分析

第5章 フィンテックにおける人工知能（AI）の世界市場：オファリング別

  • 概要
  • サービス
  • ソリューション

第6章 フィンテックにおける人工知能（AI）の世界市場：用途別

  • 概要
  • バーチャルアシスタント（チャットボット）
  • ビジネス分析とレポーティング
  • 顧客行動分析
  • 不正検知
  • 定量分析と資産管理
  • その他

第7章 フィンテックにおける人工知能（AI）の世界市場：展開別

  • 概要
  • クラウド
  • オンプレミス

第8章 フィンテックにおける人工知能（AI）の世界市場：地域別

  • 概要
  • 北米
    • 米国
    • カナダ
    • メキシコ
  • 欧州
    • ドイツ
    • 英国
    • フランス
    • その他の欧州
  • アジア太平洋
    • 中国
    • 日本
    • インド
    • その他のアジア太平洋
  • その他
    • ラテンアメリカ
    • 中東・アフリカ

第9章 フィンテックにおける人工知能（AI）の世界市場の競合情勢

  • 概要
  • 各社の市場ランキング
  • 主要開発戦略

第10章 企業プロファイル

  • 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 主要開発

  • 製品上市/開発
  • 合併と買収
  • 事業拡大
  • パートナーシップと提携

第12章 付録

  • 関連調査
目次
Product Code: 50230

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