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市場調查報告書
商品編碼
1134530

金融科技的AI的全球市場:現狀分析與預測(2022年～2028年)

AI in Fintech Market: Current Analysis and Forecast (2022-2028)
出版日期: | 出版商: UnivDatos Market Insights Pvt Ltd | 英文 154 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

全球金融科技的AI的市場規模在2028年將達到450億美元以上，在預測期間(2022年～2028年)時預計將以約30％的年複合成長率。一般認為COVID-19疫情，促進了金融科技的AI市場成長。

本報告提供全球金融科技的AI市場的相關調查，提供市場洞察，市場趨勢，競爭模式，企業概要等全面性資訊。

目錄

第1章 市場簡介

  • 市場定義
  • 主要目的
  • 相關利益者
  • 限制

第2章 調查方法或假設

  • 金融科技的AI市場調查流程
  • 金融科技的AI市場調查手法
  • 受訪者簡介

第3章 市場摘要

第4章 摘要整理

第5章 金融科技的AI市場的COVID-19影響

第6章 金融科技的AI市場收益(10億美元)(2020年～2028年)

第7章 市場洞察:各類型

  • 服務
  • 解決方案

第8章 市場洞察:各部署

  • 內部部署
  • 雲端

第9章 市場洞察:各用途

  • 聊天機器人
  • 客戶行為分析
  • 商務分析與報告
  • 其他

第10章 市場洞察:各地區

  • 北美
    • 美國
    • 加拿大
    • 其他的北美
  • 歐洲
    • 德國
    • 英國
    • 法國
    • 義大利
    • 西班牙
    • 其他的歐洲
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 其他的亞太地區
  • 全球其他地區

第11章 金融科技的AI市場動態

  • 推動市場要素
  • 市場課題
  • 影響分析

第12章 金融科技的AI市場機會

第13章 金融科技的AI市場趨勢

第14章 需求面和供給面的分析

  • 需求面分析
  • 供給面分析

第15章 價值鏈分析

第16章 競爭模式

  • 競爭情形
    • 波特的五力分析

第17章 公司概要

  • 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 免責聲明

簡介目錄
Product Code: UMTI211192

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