フィンテックにおける人工知能（AI）の世界市場：展開場所別（フロントオフィス、バックオフィス）、用途別（定量、不正検出）、エンドユーザー別（リテールバンキング、ヘッジファンド）、地域別分析 - 予測（2028年まで）

世界のフィンテックにおける人工知能（AI）の市場規模は、2021年に82億1,801万米ドルとなり、予測期間中に21.8％のCAGRで推移し、2028年までには326億8,116万米ドルに達すると予測されています。

当レポートでは、世界のフィンテックにおける人工知能（AI）市場を調査し、市場の促進要因・抑制要因、市場機会、COVID-19の影響、展開場所別・コンポーネント別・展開別・機械学習用途別・用途別・エンドユーザー別・地域別の市場分析、競合情勢、主要企業のプロファイルなどの情報を提供しています。

目次

第1章 エグゼクティブサマリー

第2章 序文

第3章 市場動向分析

• 促進要因
• 抑制要因
• 市場機会
• 脅威
• 用途分析
• エンドユーザー分析
• 新興市場
• COVID-19の影響

第4章 ポーターのファイブフォース分析

第5章 世界のフィンテックにおける人工知能（AI）市場：展開場所別

• フロントオフィス
• バックオフィス

第6章 世界のフィンテックにおける人工知能（AI）市場：コンポーネント別

• ハードウェア
• サービス
  • マネージドサービス
  • プロフェッショナルサービス
  • コンサルティングサービス
• ソリューション
  • プラットフォーム
  • ソフトウェアツール
  • インテリジェントボット
  • パーソナライズドバンキング
  • プロセスの自動化
  • ロボット-アドバイザリー
  • 取引

第7章 世界のフィンテックにおける人工知能（AI）市場：展開別

• オンプレミス
• クラウド

第8章 世界のフィンテックにおける人工知能（AI）市場：機械学習用途別

• ディープラーニング
• マシンビジョン
• 自然言語処理
• 強化学習
• 半教師あり学習
• 教師あり学習
• 教師なし学習

第9章 世界のフィンテックにおける人工知能（AI）市場：用途別

• ビジネス分析とレポート
  • 規制・コンプライアンス管理
  • 予測分析
• 仮想アシスタント（チャットボット）
• 顧客行動分析
  • 資産・ポートフォリオ管理
  • クレジットスコアリング
  • 債権回収
  • 保険料
• リスク調査
• 定量・資産管理
• 不正検出
• 顧客管理（KYC）
• 会計
• 顧客サービス
• ピアツーピア（P2P）貸付
• 保険サポート
• ネットワークセキュリティー
• 資本市場
• その他
  • 市場調査
  • マーケティングキャンペーン
  • 金融市場の予測
  • 広告

第10章 世界のフィンテックにおける人工知能（AI）市場：エンドユーザー別

• リテールバンキング
• ヘッジファンド
• 株式取引企業
• 投資銀行

第11章 世界のフィンテックにおける人工知能（AI）市場：地域別

• 北米
  • 米国
  • カナダ
  • メキシコ
• 欧州
  • ドイツ
  • 英国
  • イタリア
  • フランス
  • スペイン
  • その他
• アジア太平洋
  • 日本
  • 中国
  • インド
  • オーストラリア
  • ニュージーランド
  • 韓国
  • その他
• 南米
  • アルゼンチン
  • ブラジル
  • チリ
  • その他
• 中東・アフリカ
  • サウジアラビア
  • アラブ首長国連邦
  • カタール
  • 南アフリカ
  • その他

第12章 主要な発展

• 契約、パートナーシップ、提携、共同事業
• 買収・合併
• 新製品の発売
• 事業拡張
• その他の重要な戦略

第13章 企業プロファイル

• Ripple Labs Inc.
• Active.Ai
• TIBCO Software (Alpine Data Labs)
• Trifacta Software Inc.
• Data Minr Inc.
• Zeitgold GmbH
• Sift Science Inc.
• Pefin Holdings LLC
• Betterment Holdings
• WealthFront Inc.
• Intel Corporation
• Sentifi AG
• ComplyAdvantage.com
• Narrative Science
• Amazon Web Services Inc.
• IPsoft Inc.
• Next IT Corporation
• Microsoft Corporation
• Onfido
• IBM Corporation

List of Tables

• Table 1 Global Artificial Intelligence (AI) in Fintech Market Outlook, By Region (2020-2028) ($MN)
• Table 2 Global Artificial Intelligence (AI) in Fintech Market Outlook, By Place of Deployment (2020-2028) ($MN)
• Table 3 Global Artificial Intelligence (AI) in Fintech Market Outlook, By Front Office (2020-2028) ($MN)
• Table 4 Global Artificial Intelligence (AI) in Fintech Market Outlook, By Back Office (2020-2028) ($MN)
• Table 5 Global Artificial Intelligence (AI) in Fintech Market Outlook, By Component (2020-2028) ($MN)
• Table 6 Global Artificial Intelligence (AI) in Fintech Market Outlook, By Hardware (2020-2028) ($MN)
• Table 7 Global Artificial Intelligence (AI) in Fintech Market Outlook, By Services (2020-2028) ($MN)
• Table 8 Global Artificial Intelligence (AI) in Fintech Market Outlook, By Managed Services (2020-2028) ($MN)
• Table 9 Global Artificial Intelligence (AI) in Fintech Market Outlook, By Professional Services (2020-2028) ($MN)
• Table 10 Global Artificial Intelligence (AI) in Fintech Market Outlook, By Consultancy Services (2020-2028) ($MN)
• Table 11 Global Artificial Intelligence (AI) in Fintech Market Outlook, By Solutions (2020-2028) ($MN)
• Table 12 Global Artificial Intelligence (AI) in Fintech Market Outlook, By Platforms (2020-2028) ($MN)
• Table 13 Global Artificial Intelligence (AI) in Fintech Market Outlook, By Software Tools (2020-2028) ($MN)
• Table 14 Global Artificial Intelligence (AI) in Fintech Market Outlook, By Intelligent Bots (2020-2028) ($MN)
• Table 15 Global Artificial Intelligence (AI) in Fintech Market Outlook, By Personalized Banking (2020-2028) ($MN)
• Table 16 Global Artificial Intelligence (AI) in Fintech Market Outlook, By Process Automation (2020-2028) ($MN)
• Table 17 Global Artificial Intelligence (AI) in Fintech Market Outlook, By Robot-Advisory (2020-2028) ($MN)
• Table 18 Global Artificial Intelligence (AI) in Fintech Market Outlook, By Trading (2020-2028) ($MN)
• Table 19 Global Artificial Intelligence (AI) in Fintech Market Outlook, By Deployment (2020-2028) ($MN)
• Table 20 Global Artificial Intelligence (AI) in Fintech Market Outlook, By On-Premise (2020-2028) ($MN)
• Table 21 Global Artificial Intelligence (AI) in Fintech Market Outlook, By Cloud (2020-2028) ($MN)
• Table 22 Global Artificial Intelligence (AI) in Fintech Market Outlook, By Machine Learning Applications (2020-2028) ($MN)
• Table 23 Global Artificial Intelligence (AI) in Fintech Market Outlook, By Deep Learning (2020-2028) ($MN)
• Table 24 Global Artificial Intelligence (AI) in Fintech Market Outlook, By Machine Vision (2020-2028) ($MN)
• Table 25 Global Artificial Intelligence (AI) in Fintech Market Outlook, By Natural Language Processing (2020-2028) ($MN)
• Table 26 Global Artificial Intelligence (AI) in Fintech Market Outlook, By Reinforced Learning (2020-2028) ($MN)
• Table 27 Global Artificial Intelligence (AI) in Fintech Market Outlook, By Semi-Supervised Learning (2020-2028) ($MN)
• Table 28 Global Artificial Intelligence (AI) in Fintech Market Outlook, By Supervised Learning (2020-2028) ($MN)
• Table 29 Global Artificial Intelligence (AI) in Fintech Market Outlook, By Unsupervised Learning (2020-2028) ($MN)
• Table 30 Global Artificial Intelligence (AI) in Fintech Market Outlook, By Application (2020-2028) ($MN)
• Table 31 Global Artificial Intelligence (AI) in Fintech Market Outlook, By Business Analytics and Reporting (2020-2028) ($MN)
• Table 32 Global Artificial Intelligence (AI) in Fintech Market Outlook, By Regulatory and Compliance Management (2020-2028) ($MN)
• Table 33 Global Artificial Intelligence (AI) in Fintech Market Outlook, By Predictive Analytics (2020-2028) ($MN)
• Table 34 Global Artificial Intelligence (AI) in Fintech Market Outlook, By Virtual Assistants (Chatbots) (2020-2028) ($MN)
• Table 35 Global Artificial Intelligence (AI) in Fintech Market Outlook, By Customer Behavioural Analytics (2020-2028) ($MN)
• Table 36 Global Artificial Intelligence (AI) in Fintech Market Outlook, By Asset and Portfolio Management (2020-2028) ($MN)
• Table 37 Global Artificial Intelligence (AI) in Fintech Market Outlook, By Credit Scoring (2020-2028) ($MN)
• Table 38 Global Artificial Intelligence (AI) in Fintech Market Outlook, By Debt Collection (2020-2028) ($MN)
• Table 39 Global Artificial Intelligence (AI) in Fintech Market Outlook, By Insurance Premium (2020-2028) ($MN)
• Table 40 Global Artificial Intelligence (AI) in Fintech Market Outlook, By Risk Investigation (2020-2028) ($MN)
• Table 41 Global Artificial Intelligence (AI) in Fintech Market Outlook, By Quantitative and Asset Management (2020-2028) ($MN)
• Table 42 Global Artificial Intelligence (AI) in Fintech Market Outlook, By Fraud Detection (2020-2028) ($MN)
• Table 43 Global Artificial Intelligence (AI) in Fintech Market Outlook, By Know Your Customer (KYC) (2020-2028) ($MN)
• Table 44 Global Artificial Intelligence (AI) in Fintech Market Outlook, By Accounting (2020-2028) ($MN)
• Table 45 Global Artificial Intelligence (AI) in Fintech Market Outlook, By Customer Service (2020-2028) ($MN)
• Table 46 Global Artificial Intelligence (AI) in Fintech Market Outlook, By Peer-to-Peer (P2P) Lending (2020-2028) ($MN)
• Table 47 Global Artificial Intelligence (AI) in Fintech Market Outlook, By Insurance Support (2020-2028) ($MN)
• Table 48 Global Artificial Intelligence (AI) in Fintech Market Outlook, By Network Security (2020-2028) ($MN)
• Table 49 Global Artificial Intelligence (AI) in Fintech Market Outlook, By Capital Markets (2020-2028) ($MN)
• Table 50 Global Artificial Intelligence (AI) in Fintech Market Outlook, By Other Applications (2020-2028) ($MN)
• Table 51 Global Artificial Intelligence (AI) in Fintech Market Outlook, By Market Research (2020-2028) ($MN)
• Table 52 Global Artificial Intelligence (AI) in Fintech Market Outlook, By Marketing Campaign (2020-2028) ($MN)
• Table 53 Global Artificial Intelligence (AI) in Fintech Market Outlook, By Financial Market Prediction (2020-2028) ($MN)
• Table 54 Global Artificial Intelligence (AI) in Fintech Market Outlook, By Advertising (2020-2028) ($MN)
• Table 55 Global Artificial Intelligence (AI) in Fintech Market Outlook, By End User (2020-2028) ($MN)
• Table 56 Global Artificial Intelligence (AI) in Fintech Market Outlook, By Retail Banking (2020-2028) ($MN)
• Table 57 Global Artificial Intelligence (AI) in Fintech Market Outlook, By Hedge Funds (2020-2028) ($MN)
• Table 58 Global Artificial Intelligence (AI) in Fintech Market Outlook, By Stock Trading Firms (2020-2028) ($MN)
• Table 59 Global Artificial Intelligence (AI) in Fintech Market Outlook, By Investment Banking (2020-2028) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.

According to Stratistics MRC, the Global Artificial Intelligence (AI) in Fintech Market is accounted for $8,218.01 million in 2021 and is expected to reach $32,681.16 million by 2028 growing at a CAGR of 21.8% during the forecast period. AI in Fintech gets better results by applying techniques derived from aspects of Human Intelligence at a beyond human scale. The computational arms race for past years has revolutionized the Fintech companies. AI and machine learning have gained banks and fintech as they can develop huge amounts of information about customers. This data and information are then compared to obtain results about suitable services/products that customers want, which has aided, effectively, in developing customer relations.

Market Dynamics:

Driver:

Focus of companies on cost reduction and improving efficiency

Artificial Intelligence in fintech is allowing companies to cut down their cost, automate their process and reduce the chances of error. AI Chatbots are used by companies as customer assistants for various purposes such as sales, customer care executive (over phone), and online chat executive. AI is empowering small finance companies as it is affordable as well as chances of error occurrence is very low. In addition, the insightful details about the cash flow and income and expense are gaining the traction from the end user as this helps companies to reduce their expenses.

Restraint:

Concerns regarding data privacy

The biggest challenge with AI is the sensitive issue of data privacy and security, which most fintech companies are facing. The fintech sector is governed by strict compliance to regulations and governance since any data breach or security failure could be disastrous. Privacy concerns are cropping up as companies feed more and more consumer and vendor data into advanced, AI-fuelled algorithms to create new bits of sensitive information, unbeknownst to affected consumers and employees. This is especially prevalent in the retail banking sector, where consumer data collection has been at the forefront in terms of big data challenges. These data privacy concerns will hinder the adoption of AI especially in banking sector.

Opportunity:

New technological advancements

One of the biggest cybercrimes is credit card fraud. Thus, companies are designing a new generation of algorithms that are Convolutional Neural Networks and are based on the visual cortex, which is a small segment of cells that are sensitive to specific regions of the visual field in the human body. This means that they are able to extract elementary visual features like oriented edges, end-points and corners. This technology can study the spending data of an individual and be able to determine, based on this information, whether they performed the most recent transaction on their credit card or if someone else was using their credit card data.

Threat:

Increased number of regulations

The increasing number of multiple regulatory compliances will create hindrances for the growth of the market. Also, lack of skilled consultants to develop artificial intelligence in fintech will narrow down the scope of growth for the market. Further, suspension of business activity on account of the coronavirus pandemic will yet again create hindrances.

The quantitative and asset management segment is expected to have the highest CAGR during the forecast period

The quantitative and asset management segment is growing at the highest CAGR in the market. This is mainly because AI is changing the asset management sector by allowing fundamental analysts to conduct a large number of researches and extract more information quickly, allowing them to discover accurate investing ideas. Moreover, the financial institutions have invested a significant proportion of amount in AI solutions and services for quantitative and asset management, to optimize data management in a better way.

Region with highest share:

North America is projected to hold the largest share in the market. The region has also registered the maximum adoption of AI in Fintech solutions, due to the strong economy, robust presence of prominent AI software and system suppliers, and combined investment by government and private organizations for the development and growth of R&D activities.

Region with highest CAGR:

The Asia Pacific is projected to have the highest CAGR due to the growing economy, increasing investments in IT infrastructure, rising adoption of new technologies, and surging government initiatives toward the development and deployment of IoT and AI technologies in companies operating across several verticals in the region. Moreover, major players, as a part of their business strategy, are investing in the untapped markets of the region, which, in turn, is contributing to the regional market growth.

Key players in the market:

Some of the key players profiled in the Artificial Intelligence (AI) in Fintech Market include Ripple Labs Inc., Active.Ai, TIBCO Software (Alpine Data Labs), Trifacta Software Inc., Data Minr Inc., Zeitgold GmbH, Sift Science Inc., Pefin Holdings LLC, Betterment Holdings, WealthFront Inc., Intel Corporation, Sentifi AG, ComplyAdvantage.com, Narrative Science, Amazon Web Services Inc., IPsoft Inc., Next IT Corporation, Microsoft Corporation, Onfido, and IBM Corporation.

Key developments:

In May 2020: Sentifi AG announced the expanded alternative data-based analytics to surface investment opportunities and manage risks. Sentifi's new analytics solution includes detection of the sector, industry outliers, ESG events with potential asset valuation impact, and investment themes trending real-time while offering investors the ability to detect outliers within their portfolio. Investors can assess portfolio sentiment performance to the custom benchmark and quickly identify significant market events and impacted sectors, industries, and assets.

In April 2020: Verient System INC, Next IT Corporation's parent company, reached an agreement with one of the world's largest banking organizations to provide its new standard solution for fraud and corporate security investigations. The Variant Systems Al platform assists the bank in detecting fraud, as well as in meeting cybersecurity and deployment management requirements.

Place of Deployments Covered:

• Front Office
• Back Office

Components Covered:

• Hardware
• Services
• Solutions

Deployments Covered:

• On-Premise
• Cloud

Machine Learning Applications Covered:

• Deep Learning
• Machine Vision
• Natural Language Processing
• Reinforced Learning
• Semi-Supervised Learning
• Supervised Learning
• Unsupervised Learning

Applications Covered:

• Business Analytics and Reporting
• Virtual Assistants (Chatbots)
• Customer Behavioural Analytics
• Risk Investigation
• Quantitative and Asset Management
• Fraud Detection
• Know Your Customer (KYC)
• Accounting
• Customer Service
• Peer-to-Peer (P2P) Lending
• Insurance Support
• Network Security
• Capital Markets
• Other Applications

End Users Covered:

• Retail Banking
• Hedge Funds
• Stock Trading Firms
• Investment Banking

Regions Covered:

• North America
  • US
  • Canada
  • Mexico
• Europe
  • Germany
  • UK
  • Italy
  • France
  • Spain
  • Rest of Europe
• Asia Pacific
  • Japan
  • China
  • India
  • Australia
  • New Zealand
  • South Korea
  • Rest of Asia Pacific
• South America
  • Argentina
  • Brazil
  • Chile
  • Rest of South America
• Middle East & Africa
  • Saudi Arabia
  • UAE
  • Qatar
  • South Africa
  • Rest of Middle East & Africa

What our report offers:

• Market share assessments for the regional and country-level segments
• Strategic recommendations for the new entrants
• Covers Market data for the years 2020, 2021, 2022, 2025, and 2028
• Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
• Strategic recommendations in key business segments based on the market estimations
• Competitive landscaping mapping the key common trends
• Company profiling with detailed strategies, financials, and recent developments
• Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

• Company Profiling
  • Comprehensive profiling of additional market players (up to 3)
  • SWOT Analysis of key players (up to 3)
• Regional Segmentation
  • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
  • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

• 2.1 Abstract
• 2.2 Stake Holders
• 2.3 Research Scope
• 2.4 Research Methodology
  • 2.4.1 Data Mining
  • 2.4.2 Data Analysis
  • 2.4.3 Data Validation
  • 2.4.4 Research Approach
• 2.5 Research Sources
  • 2.5.1 Primary Research Sources
  • 2.5.2 Secondary Research Sources
  • 2.5.3 Assumptions

3 Market Trend Analysis

• 3.1 Introduction
• 3.2 Drivers
• 3.3 Restraints
• 3.4 Opportunities
• 3.5 Threats
• 3.6 Application Analysis
• 3.7 End User Analysis
• 3.8 Emerging Markets
• 3.9 Impact of Covid-19

4 Porters Five Force Analysis

• 4.1 Bargaining power of suppliers
• 4.2 Bargaining power of buyers
• 4.3 Threat of substitutes
• 4.4 Threat of new entrants
• 4.5 Competitive rivalry

5 Global Artificial Intelligence (AI) in Fintech Market, By Place of Deployment

• 5.1 Introduction
• 5.2 Front Office
• 5.3 Back Office

6 Global Artificial Intelligence (AI) in Fintech Market, By Component

• 6.1 Introduction
• 6.2 Hardware
• 6.3 Services
  • 6.3.1 Managed Services
  • 6.3.2 Professional Services
  • 6.3.3 Consultancy Services
• 6.4 Solutions
  • 6.4.1 Platforms
  • 6.4.2 Software Tools
    • 6.4.2.1 Data Discovery
    • 6.4.2.2 Data Quality and Data Governance
    • 6.4.2.3 Data Visualization
  • 6.4.3 Intelligent Bots
  • 6.4.4 Personalized Banking
  • 6.4.5 Process Automation
  • 6.4.6 Robot-Advisory
  • 6.4.7 Trading

7 Global Artificial Intelligence (AI) in Fintech Market, By Deployment

• 7.1 Introduction
• 7.2 On-Premise
• 7.3 Cloud

8 Global Artificial Intelligence (AI) in Fintech Market, By Machine Learning Applications

• 8.1 Introduction
• 8.2 Deep Learning
• 8.3 Machine Vision
• 8.4 Natural Language Processing
• 8.5 Reinforced Learning
• 8.6 Semi-Supervised Learning
• 8.7 Supervised Learning
• 8.8 Unsupervised Learning

9 Global Artificial Intelligence (AI) in Fintech Market, By Application

• 9.1 Introduction
• 9.2 Business Analytics and Reporting
  • 9.2.1 Regulatory and Compliance Management
  • 9.2.2 Predictive Analytics
• 9.3 Virtual Assistants (Chatbots)
• 9.4 Customer Behavioural Analytics
  • 9.4.1 Asset and Portfolio Management
  • 9.4.2 Credit Scoring
  • 9.4.3 Debt Collection
  • 9.4.4 Insurance Premium
• 9.5 Risk Investigation
• 9.6 Quantitative and Asset Management
• 9.7 Fraud Detection
• 9.8 Know Your Customer (KYC)
• 9.9 Accounting
• 9.10 Customer Service
• 9.11 Peer-to-Peer (P2P) Lending
• 9.12 Insurance Support
• 9.13 Network Security
• 9.14 Capital Markets
• 9.15 Other Applications
  • 9.15.1 Market Research
  • 9.15.2 Marketing Campaign
  • 9.15.3 Financial Market Prediction
  • 9.15.4 Advertising

10 Global Artificial Intelligence (AI) in Fintech Market, By End User

• 10.1 Introduction
• 10.2 Retail Banking
• 10.3 Hedge Funds
• 10.4 Stock Trading Firms
• 10.5 Investment Banking

11 Global Artificial Intelligence (AI) in Fintech Market, By Geography

• 11.1 Introduction
• 11.2 North America
  • 11.2.1 US
  • 11.2.2 Canada
  • 11.2.3 Mexico
• 11.3 Europe
  • 11.3.1 Germany
  • 11.3.2 UK
  • 11.3.3 Italy
  • 11.3.4 France
  • 11.3.5 Spain
  • 11.3.6 Rest of Europe
• 11.4 Asia Pacific
  • 11.4.1 Japan
  • 11.4.2 China
  • 11.4.3 India
  • 11.4.4 Australia
  • 11.4.5 New Zealand
  • 11.4.6 South Korea
  • 11.4.7 Rest of Asia Pacific
• 11.5 South America
  • 11.5.1 Argentina
  • 11.5.2 Brazil
  • 11.5.3 Chile
  • 11.5.4 Rest of South America
• 11.6 Middle East & Africa
  • 11.6.1 Saudi Arabia
  • 11.6.2 UAE
  • 11.6.3 Qatar
  • 11.6.4 South Africa
  • 11.6.5 Rest of Middle East & Africa

12 Key Developments

• 12.1 Agreements, Partnerships, Collaborations and Joint Ventures
• 12.2 Acquisitions & Mergers
• 12.3 New Product Launch
• 12.4 Expansions
• 12.5 Other Key Strategies

13 Company Profiling

• 13.1 Ripple Labs Inc.
• 13.2 Active.Ai
• 13.3 TIBCO Software (Alpine Data Labs)
• 13.4 Trifacta Software Inc.
• 13.5 Data Minr Inc.
• 13.6 Zeitgold GmbH
• 13.7 Sift Science Inc.
• 13.8 Pefin Holdings LLC
• 13.9 Betterment Holdings
• 13.10 WealthFront Inc.
• 13.11 Intel Corporation
• 13.12 Sentifi AG
• 13.13 ComplyAdvantage.com
• 13.14 Narrative Science
• 13.15 Amazon Web Services Inc.
• 13.16 IPsoft Inc.
• 13.17 Next IT Corporation
• 13.18 Microsoft Corporation
• 13.19 Onfido
• 13.20 IBM Corporation