フィンテックにおけるAIの世界市場：現状分析と予測（2022年～2028年）

世界のフィンテックにおけるAIの市場規模は、2028年には450億米ドル以上となり、予測期間（2022年～2028年）には約30％のCAGRが見込まれています。COVID-19のパンデミックは、フィンテックにおけるAI市場の成長を促進していると考えられます。

当レポートでは、世界のフィンテックにおけるAI市場について調査しており、市場の洞察、市場動向、競合シナリオ、企業概要など、包括的な情報を提供しています。

目次

第1章 市場イントロダクション

• 市場の定義
• 主な目的
• ステークホルダー
• 制限

第2章 調査方法または仮定

• フィンテックにおけるAI市場の調査プロセス
• フィンテックにおけるAI市場の調査手法
• 回答者プロファイル

第3章 市場要約

第4章 エグゼクティブサマリー

第5章 フィンテックにおけるAI市場へのCOVID-19の影響

第6章 フィンテックにおけるAI市場の収益（10億米ドル）（2020年～2028年）

第7章 市場の洞察：タイプ別

• サービス
• ソリューション

第8章 市場の洞察：展開別

• オンプレミス
• クラウド

第9章 市場の洞察：用途別

• チャットボット
• 顧客行動分析
• ビジネス分析とレポート
• その他

第10章 市場の洞察：地域別

• 北米
  • 米国
  • カナダ
  • その他の北米
• 欧州
  • ドイツ
  • 英国
  • フランス
  • イタリア
  • スペイン
  • その他の欧州
• アジア太平洋地域
  • 中国
  • 日本
  • インド
  • その他のアジア太平洋地域
• 世界のその他の地域

第11章 フィンテックにおけるAI市場力学

• 市場促進要因
• 市場の課題
• 影響分析

第12章 フィンテックにおけるAI市場機会

第13章 フィンテックにおけるAI市場動向

第14章 需要側と供給側の分析

• 需要側分析
• 供給側分析

第15章 バリューチェーン分析

第16章 競合シナリオ

• 競合情勢
  • ポーターのファイブフォース分析

第17章 会社概要

• IBM
• Narrative Science
• Amazon Web Services Inc.
• Microsoft
• HCL Technologies
• HP Enterprise Development LP
• Intel corporation
• SAP SE
• Salesforce Inc.
• CISCO System

第18章 免責事項

Global AI in Fintech Market is expected to grow at a significant rate of around 30% during the forecast period and is expected to account for USD 45 billion by 2028. Artificial Intelligence (AI) in the fintech market is part of the data collection, analysis of the data, facilitating and securing transactions, providing customer-centric modules, and streamlining the process. Also, it provides better analytics, stronger security, virtual assistance, chatbot, and insight. AI in fintech allows fintech organizations to predict customer behavior by collecting their behavioral data. In recent times, AI in the fintech organization has witnessed a significant demand for AI technology in the fintech institution owing to the lower time consumption for the query and easier processing for monetary uses. Moreover, the covid pandemic has changed the behavioral structure of both institutional organizations & customers and allows the organization to implement faster as well as more convenient processes and propel the incorporation of AI in the fintech sector.

IBM, Narrative Science, Amazon Web Services Inc., Microsoft, HCL Technologies, HP Enterprise Development LP, Intel Corporation, SAP SE, Salesforce Inc., and CISCO System are some of the key players in the market. Several M&As along with partnerships have been undertaken by these players to facilitate customers with hi-tech and innovative products/technologies.

Insights Presented in the Report:

"Amongst type, solution category to witness higher CAGR during the forecast period"

Based on type, the market is segmented into service and solution. The solution segment witnesses a significant CAGR during the forecast period and is expected to remain the same during the forecast period owing to the adoption of AI and ML in the field of banking and financial institution services to manage big data analytics and to generate significant insight from the collected data. The companies in the market are focusing on innovative and lucrative products & solutions for the user to increase the adoption of AI-enabled technology among the users. For instance, in January 2022, Temenos organization which is the provider of enterprise software solutions for financial institutions and banks announced the first AI-powered buy now pay later solution on its own temenos banking cloud. However, the service segment also witnesses a significant change in growth over the period of time owing to the growing demand for AI-enabled services in the market such as credit assessment, and fraud detection among many others.

"Amongst application, the chatbot segment to hold a significant share in the market in 2020"

Based on application, the AI in fintech market has been classified into chatbots, customer behavioral analytics, business analytics & reporting, and others. The chatbots segment witnesses significant market growth in the year 2021 and are expected to remain the same during the forecast period owing to the ability to resolve the queries in a fraction of the time and the availability of the on-demand feature. The chatbot eliminates the requirement of longer queues and reduces human effort as well as provides the liberty to the client to get their work done from anywhere in the world. The chatbots use automated scripts to resolve the queries on their own. In addition, chatbots provide an easy communication channel between users and banks. For instance, in the year 2020, one million new clients have been added by the Bank of America after introducing their own chatbots.

"North America to hold a significant share in the market"

In 2020, North America held a significant share of the global AI in fintech market. This is mainly due to the increasing research & development expenditure coupled with the technological advancement in AI, ML, and big data analytics. Also, the increasing number of startups and the growing number of enterprises in the region are supporting AI in the fintech market for instance, according to a leading firm, Canada has approximately 700 fintech organizations with 18 found in the year 2020. Moreover, the support from the lawmaker has increased the attention for innovative products among individuals, banking body, and new payment provider institution to provide the innovative transaction platform and is expected to support the growth of AI in the fintech market. Furthermore, the increasing investment by the individual and institutional bodies propel the market in the coming time. For instance, in March 2021, HighRadius, a startup for AI-based products for fintech received the USD 300 million in series C funding.  

Reasons to buy this report:

The study includes market sizing and forecasting analysis validated by authenticated key industry experts.

The report presents a quick review of overall industry performance at one glance.

The report covers an in-depth analysis of prominent industry peers with a primary focus on key business financials, product portfolio, expansion strategies, and recent developments.

Detailed examination of drivers, restraints, key trends, and opportunities prevailing in the industry.

The study comprehensively covers the market across different segments.

Deep dive regional level analysis of the industry.

Customization Options:

The global AI in fintech market can further be customized as per the requirement or any other market segment. Besides this, UMI understands that you may have your own business needs, hence feel free to connect with us to get a report that completely suits your requirements.

TABLE OF CONTENTS

1 MARKET INTRODUCTION

• 1.1. Market Definitions
• 1.2. Main Objective
• 1.3. Stakeholders
• 1.4. Limitation

2 RESEARCH METHODOLOGY OR ASSUMPTION

• 2.1. Research Process of the AI in Fintech Market
• 2.2. Research Methodology of the AI in Fintech Market
• 2.3. Respondent Profile

3 MARKET SYNOPSIS

4 EXECUTIVE SUMMARY

5 IMPACT OF COVID-19 ON THE AI IN FINTECH MARKET

6 AI IN FINTECH MARKET REVENUE (USD BN), 2020-2028F

7 MARKET INSIGHTS BY TYPE

• 7.1. Service
• 7.2. Solution

8 MARKET INSIGHTS BY DEPLOYMENT

• 8.1. On-premises
• 8.2. Cloud

9 MARKET INSIGHTS BY APPLICATION

• 9.1. Chatbots
• 9.2. Customer Behavioral Analytics
• 9.3. Business Analytics and Reporting
• 9.4. Others

10 MARKET INSIGHTS BY REGION

• 10.1. North America
  • 10.1.1. U.S.
  • 10.1.2. Canada
  • 10.1.3. Rest of North America
• 10.2. Europe
  • 10.2.1. Germany
  • 10.2.2. U.K.
  • 10.2.3. France
  • 10.2.4. Italy
  • 10.2.5. Spain
  • 10.2.6. Rest of Europe
• 10.3. Asia-Pacific
  • 10.3.1. China
  • 10.3.2. Japan
  • 10.3.3. India
  • 10.3.4. Rest of Asia-Pacific
• 10.4. Rest of the World

11 AI IN FINTECH MARKET DYNAMICS

• 11.1. Market Drivers
• 11.2. Market Challenges
• 11.3. Impact Analysis

12 AI IN FINTECH MARKET OPPORTUNITIES

13 AI IN FINTECH MARKET TRENDS

14 DEMAND AND SUPPLY-SIDE ANALYSIS

• 14.1. Demand Side Analysis
• 14.2. Supply Side Analysis

15 VALUE CHAIN ANALYSIS

16 COMPETITIVE SCENARIO

• 16.1. Competitive Landscape
  • 16.1.1. Porters Fiver Forces Analysis

17 COMPANY PROFILED

• 17.1. IBM
• 17.2. Narrative Science
• 17.3. Amazon Web Services Inc.
• 17.4. Microsoft
• 17.5. HCL Technologies
• 17.6. HP Enterprise Development LP
• 17.7. Intel corporation
• 17.8. SAP SE
• 17.9. Salesforce Inc.
• 17.10. CISCO System

18 DISCLAIMER