시장보고서
상품코드
1134530

세계의 핀테크용 AI 시장 : 현황 분석과 예측(2022-2028년)

AI in Fintech Market: Current Analysis and Forecast (2022-2028)

발행일: | 리서치사: UnivDatos Market Insights Pvt Ltd | 페이지 정보: 영문 154 Pages | 배송안내 : 1-2일 (영업일 기준)

※ 본 상품은 영문 자료로 한글과 영문 목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문목차를 참고해주시기 바랍니다.

세계의 핀테크용 AI 시장 규모는 2028년에는 450억 달러 이상에 달하며, 예측 기간(2022-2028년)에는 약 30%의 CAGR이 전망됩니다. COVID-19 팬데믹은 핀테크용 AI 시장의 성장을 촉진하고 있는 것으로 생각되고 있습니다.

세계의 핀테크용 AI 시장에 대해 조사했으며, 시장 인사이트, 시장 동향, 경쟁 시나리오, 기업 개요 등의 정보를 정리하여 전해드립니다.

목차

제1장 시장 서론

  • 시장의 정의
  • 주요 목적
  • 이해관계자
  • 제한

제2장 조사 방법 또는 가정

  • 핀테크용 AI 시장의 조사 프로세스
  • 핀테크용 AI 시장의 조사 방법
  • 응답자 개요

제3장 시장 요약

제4장 주요 요약

제5장 핀테크용 AI 시장에 대한 COVID-19의 영향

제6장 핀테크용 AI 시장 매출(10억 달러)(2020-2028년)

제7장 시장 인사이트 : 유형별

  • 서비스
  • 솔루션

제8장 시장 인사이트 : 도입별

  • 온프레미스
  • 클라우드

제9장 시장 인사이트 : 용도별

  • 챗봇
  • 고객 행동 분석
  • 비지니스 분석과 리포트
  • 기타

제10장 시장 인사이트 : 지역별

  • 북미
    • 미국
    • 캐나다
    • 기타 북미
  • 유럽
    • 독일
    • 영국
    • 프랑스
    • 이탈리아
    • 스페인
    • 기타 유럽
  • 아시아태평양
    • 중국
    • 일본
    • 인도
    • 기타 아시아태평양
  • 세계의 기타 지역

제11장 핀테크용 AI 시장 역학

  • 시장 촉진요인
  • 시장이 해결해야 할 과제
  • 영향 분석

제12장 핀테크용 AI 시장 기회

제13장 핀테크용 AI 시장 동향

제14장 수요측과 공급측 분석

  • 수요측 분석
  • 공급측 분석

제15장 밸류체인 분석

제16장 경쟁 시나리오

  • 경쟁 구도
    • Porter's Five Forces 분석

제17장 회사 개요

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

제18장 면책사항

KSA 22.10.19

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

비교리스트
0 건의 상품을 선택 중
상품 비교하기
전체삭제