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Global AI in Fintech Market: By Type: Solutions, Services; By Deployment: Cloud, On-premises; By Application: Chatbots, Credit Scoring, Quantitative and Asset Management, Fraud Detection, Others; Regional Analysis; Historical Market and Forecast (2018-2028); Market Dynamics; Competitive Landscape; Industry Events and Developments

Global AI in Fintech Market Outlook

The global market for AI in Fintech reached a value of about USD 9.67 billion in 2021. The market is further expected to grow at a CAGR of approximately 22.4% in the forecast period of 2023-2028 to reach a value of around USD 32.57 billion by 2027.

 

North America is Expected to Lead the Global Market and Asia Pacific is Showing Rapid Growth in the AI in Fintech Market

North America is one of the most prominent and advanced markets for AI in the world, owing to the developed economies in the United States and Canada, increased investment in research and development, and innovations in AI technology. The advancing technology and adoption of internet & mobile banking are expected to augment the market growth. The finance technology market experienced high growth during the COVID 19 pandemic as the lockdown made the industry increasingly adopt internet banking, further propelling the market.

The Asia Pacific region is expected to show the most significant growth in fintech. The technological industry is constantly evolving with numerous ventures by companies to research and develop new processes to improve the workflow. Artificial intelligence completes many tasks simultaneously and learns itself to advance, removes the intervention of a human advisor, and reduces the margins of error. Artificial intelligence has helped the financial sector gain real-time actionable insights, creating opportunities for market growth.

 

Market Segmentations

Fintech or Financial Technology is a technological sector in the finance industry. It uses computer innovations to complete and deliver financial services, and it is used to provide services through software, such as online banking, mobile payment apps, and even cryptocurrency.

Based on type, the market for ai in fintech can be segmented into:

  • Solutions
  • Services

The AI in fintech market, by deployment, can be segmented into:

  • Cloud
  • On-premises

By applications, the segmentations in the market for ai in fintech includes:

  • Chatbots
  • Credit Scoring
  • Quantitative and Asset Management
  • Fraud Detection
  • Others

The regional ai in fintech markets can be divided into North America, Europe, the Asia Pacific, Latin America, the Middle East, and Africa, with North America dominating the market and Asia Pacific proliferating.

 

Rising Adoption of Artificial Intelligence is Bolstering the Market Growth

The market collaborations are increasing worldwide, leading to increased fund transfers and operations for different sectors, which means increased involvement of banks for financial services. The rising globalisation has propelled the financial sector to implement advanced technology such as artificial intelligence to automate and secure the processes against fraudulent acts. Organisations are dealing with increasing data, and they can substantially benefit from using artificial intelligence, machine learning, and big data analysis, creating new ways to track and record transactions and financial assets.

Smart mobile payments are becoming increasingly popular as people depend on online transactions more when they collaborate and conduct business. Looking at the scenario, many participants are launching and providing payment platforms and are continually developing them by adding new features. Adopting advanced technologies has helped fintech evolve in the investment management sector; it assists businesses in evaluating investment possibilities, creating their portfolio, and mitigating risks. This can further propel the AI in fintech market, attracting new customers.

 

Key Players in the Global Market for AI in Fintech

The report gives a detailed analysis of the following key players in the global ai in fintech market, covering their competitive landscape, capacity, and latest developments like mergers, acquisitions, investments, expansions of capacity, and plant turnarounds:

  • Intel Corporation
  • Google LLC
  • Microsoft Corporation
  • IBM Corporation
  • TIBCO Software Inc.
  • Others

The comprehensive EMR report provides an in-depth assessment of the market based on the Porter's five forces model along with giving a SWOT analysis.

 

Key Highlights of the Report

REPORT FEATURES DETAILS
Base Year 2022
Historical Period 2018-2022
Forecast Period 2023-2028
Scope of the Report

Historical and Forecast Trends, Industry Drivers and Constraints, Historical and Forecast Market Analysis by Segment:

  • Type
  • Deployment
  • Application
  • Region
Breakup by Type
  • Solutions
  • Services
Breakup by Deployment
  • Cloud
  • On-premises
Breakup by Application
  • Chatbots
  • Credit Scoring
  • Quantitative and Asset Management
  • Fraud Detection
  • Others
Breakup by Region
  • North America
    • United States of America 
    • Canada
  • Europe
    • United Kingdom
    • Germany
    • France
    • Italy
    • Others
  • Asia Pacific
    • China
    • Japan
    • India
    • ASEAN
    • Australia
    • Others
  • Latin America
    • Brazil
    • Argentina
    • Mexico
    • Others
  • Middle East and Africa
    • Saudi Arabia
    • United Arab Emirates
    • Nigeria
    • South Africa
    • Others
Market Dynamics
  • SWOT
  • Porter's Five Forces
  • Key Indicators for Demand
  • Key Indicators for Price
Competitive Landscape
  • Market Structure
  • Company Profiles
    • Company Overview
    • Product Portfolio
    • Demographic Reach and Achievements
    • Certifications
Companies Covered
  • Intel Corporation
  • Google LLC
  • Microsoft Corporation
  • IBM Corporation
  • TIBCO Software Inc.
  • Others
Report Price and Purchase Option Explore our purchase options that are best suited to your resources and industry needs.
Delivery Format Delivered as an attached PDF and Excel through email, with an option of receiving an editable PPT, according to the purchase option.

 

*At Expert Market Research, we strive to always give you current and accurate information. The numbers depicted in the description are indicative and may differ from the actual numbers in the final EMR report.

1    Preface 
2    Report Coverage – Key Segmentation and Scope
3    Report Description

    3.1    Market Definition and Outlook
    3.2    Properties and Applications
    3.3    Market Analysis
    3.4    Key Players
4    Key Assumptions   
5    Executive Summary

    5.1    Overview
    5.2    Key Drivers
    5.3    Key Developments  
    5.4    Competitive Structure
    5.5    Key Industrial Trends
6    Market Snapshot
    6.1    Global
    6.2    Region
7    Opportunities and Challenges in the Market
8    Global AI in Fintech Market Analysis

    8.1    Key Industry Highlights
    8.2    Global AI in Fintech Historical Market (2018-2022) 
    8.3    Global AI in Fintech Market Forecast (2023-2028)
    8.4    Global AI in Fintech Market by Type
        8.4.1    Solutions
            8.4.1.1    Market Share
            8.4.1.2    Historical Trend (2018-2022)
            8.4.1.3    Forecast Trend (2023-2028)
        8.4.2    Services
            8.4.2.1    Market Share
            8.4.2.2    Historical Trend (2018-2022)
            8.4.2.3    Forecast Trend (2023-2028)
    8.5    Global AI in Fintech Market by Deployment
        8.5.1    Cloud
            8.5.1.1    Market Share
            8.5.1.2    Historical Trend (2018-2022)
            8.5.1.3    Forecast Trend (2023-2028)
        8.5.2    On-premises
            8.5.2.1    Market Share
            8.5.2.2    Historical Trend (2018-2022)
            8.5.2.3    Forecast Trend (2023-2028)
    8.6    Global AI in Fintech Market by Application
        8.6.1    Chatbots
            8.6.1.1    Market Share
            8.6.1.2    Historical Trend (2018-2022)
            8.6.1.3    Forecast Trend (2023-2028)
        8.6.2    Credit Scoring
            8.6.2.1    Market Share
            8.6.2.2    Historical Trend (2018-2022)
            8.6.2.3    Forecast Trend (2023-2028)
        8.6.3    Quantitative and Asset Management
            8.6.3.1    Market Share
            8.6.3.2    Historical Trend (2018-2022)
            8.6.3.3    Forecast Trend (2023-2028)
        8.6.4    Fraud Detection
            8.6.4.1    Market Share
            8.6.4.2    Historical Trend (2018-2022)
            8.6.4.3    Forecast Trend (2023-2028)
        8.6.5    Others    
    8.7    Global AI in Fintech Market by Region
        8.7.1    North America
            8.7.1.1    Market Share
            8.7.1.2    Historical Trend (2018-2022) 
            8.7.1.3    Forecast Trend (2023-2028)
        8.7.2    Europe
            8.7.2.1    Market Share
            8.7.2.2    Historical Trend (2018-2022) 
            8.7.2.3    Forecast Trend (2023-2028)
        8.7.3    Asia Pacific
            8.7.3.1    Market Share
            8.7.3.2    Historical Trend (2018-2022) 
            8.7.3.3    Forecast Trend (2023-2028)
        8.7.4    Latin America
            8.7.4.1    Market Share
            8.7.4.2    Historical Trend (2018-2022) 
            8.7.4.3    Forecast Trend (2023-2028)
        8.7.5    Middle East and Africa
            8.7.5.1    Market Share
            8.7.5.2    Historical Trend (2018-2022) 
            8.7.5.3    Forecast Trend (2023-2028)
9    North America AI in Fintech Market Analysis
    9.1    United States of America 
        9.1.1    Market Share
        9.1.2    Historical Trend (2018-2022) 
        9.1.3    Forecast Trend (2023-2028)
    9.2    Canada
        9.2.1    Market Share
        9.2.2    Historical Trend (2018-2022) 
        9.2.3    Forecast Trend (2023-2028)
10    Europe AI in Fintech Market Analysis
    10.1    United Kingdom
        10.1.1    Market Share
        10.1.2    Historical Trend (2018-2022) 
        10.1.3    Forecast Trend (2023-2028)
    10.2    Germany
        10.2.1    Market Share
        10.2.2    Historical Trend (2018-2022) 
        10.2.3    Forecast Trend (2023-2028)
    10.3    France
        10.3.1    Market Share
        10.3.2    Historical Trend (2018-2022) 
        10.3.3    Forecast Trend (2023-2028)
    10.4    Italy
        10.4.1    Market Share
        10.4.2    Historical Trend (2018-2022) 
        10.4.3    Forecast Trend (2023-2028)
    10.5    Others
11    Asia Pacific AI in Fintech Market Analysis
    11.1    China
        11.1.1    Market Share
        11.1.2    Historical Trend (2018-2022) 
        11.1.3    Forecast Trend (2023-2028)
    11.2    Japan
        11.2.1    Market Share
        11.2.2    Historical Trend (2018-2022) 
        11.2.3    Forecast Trend (2023-2028)
    11.3    India
        11.3.1    Market Share
        11.3.2    Historical Trend (2018-2022) 
        11.3.3    Forecast Trend (2023-2028)
    11.4    ASEAN
        11.4.1    Market Share
        11.4.2    Historical Trend (2018-2022) 
        11.4.3    Forecast Trend (2023-2028)
    11.5    Australia
        11.5.1    Market Share
        11.5.2    Historical Trend (2018-2022) 
        11.5.3    Forecast Trend (2023-2028)
    11.6    Others
12    Latin America AI in Fintech Market Analysis
    12.1    Brazil
        12.1.1    Market Share
        12.1.2    Historical Trend (2018-2022) 
        12.1.3    Forecast Trend (2023-2028)
    12.2    Argentina
        12.2.1    Market Share
        12.2.2    Historical Trend (2018-2022) 
        12.2.3    Forecast Trend (2023-2028)
    12.3    Mexico
        12.3.1    Market Share
        12.3.2    Historical Trend (2018-2022) 
        12.3.3    Forecast Trend (2023-2028)
    12.4    Others
13    Middle East and Africa AI in Fintech Market Analysis
    13.1    Saudi Arabia
        13.1.1    Market Share
        13.1.2    Historical Trend (2018-2022) 
        13.1.3    Forecast Trend (2023-2028)
    13.2    United Arab Emirates
        13.2.1    Market Share
        13.2.2    Historical Trend (2018-2022) 
        13.2.3    Forecast Trend (2023-2028)
    13.3    Nigeria
        13.3.1    Market Share
        13.3.2    Historical Trend (2018-2022) 
        13.3.3    Forecast Trend (2023-2028)
    13.4    South Africa
        13.4.1    Market Share
        13.4.2    Historical Trend (2018-2022) 
        13.4.3    Forecast Trend (2023-2028)
    13.5    Others
14    Market Dynamics
    14.1    SWOT Analysis
        14.1.1    Strengths
        14.1.2    Weaknesses
        14.1.3    Opportunities
        14.1.4    Threats
    14.2    Porter’s Five Forces Analysis
        14.2.1    Supplier’s Power
        14.2.2    Buyer’s Power
        14.2.3    Threat of New Entrants
        14.2.4    Degree of Rivalry
        14.2.5    Threat of Substitutes
    14.3    Key Indicators for Demand
    14.4    Key Indicators for Price
15    Competitive Landscape
    15.1    Market Structure
    15.2    Company Profiles
        15.2.1    Intel Corporation
            15.2.1.1    Company Overview
            15.2.1.2    Product Portfolio
            15.2.1.3    Demographic Reach and Achievements
            15.2.1.4    Certifications
        15.2.2    Google LLC
            15.2.2.1    Company Overview
            15.2.2.2    Product Portfolio
            15.2.2.3    Demographic Reach and Achievements
            15.2.2.4    Certifications
        15.2.3    Microsoft Corporation
            15.2.3.1    Company Overview
            15.2.3.2    Product Portfolio
            15.2.3.3    Demographic Reach and Achievements
            15.2.3.4    Certifications
        15.2.4    IBM Corporation 
            15.2.4.1    Company Overview
            15.2.4.2    Product Portfolio
            15.2.4.3    Demographic Reach and Achievements
            15.2.4.4    Certifications
        15.2.5    TIBCO Software Inc. 
            15.2.5.1    Company Overview
            15.2.5.2    Product Portfolio
            15.2.5.3    Demographic Reach and Achievements
            15.2.5.4    Certifications
        15.2.6    Others
16    Key Trends and Developments in the Market

 

List of Key Figures and Tables

1.    Global AI in Fintech Market: Key Industry Highlights, 2018 and 2028
2.    Global AI in Fintech Historical Market: Breakup by Type (USD Billion), 2018-2022
3.    Global AI in Fintech Market Forecast: Breakup by Type (USD Billion), 2023-2028
4.    Global AI in Fintech Historical Market: Breakup by Deployment (USD Billion), 2018-2022
5.    Global AI in Fintech Market Forecast: Breakup by Deployment (USD Billion), 2023-2028
6.    Global AI in Fintech Historical Market: Breakup by Application (USD Billion), 2018-2022
7.    Global AI in Fintech Market Forecast: Breakup by Application (USD Billion), 2023-2028
8.    Global AI in Fintech Historical Market: Breakup by Region (USD Billion), 2018-2022
9.    Global AI in Fintech Market Forecast: Breakup by Region (USD Billion), 2023-2028
10.    North America AI in Fintech Historical Market: Breakup by Country (USD Billion), 2018-2022
11.    North America AI in Fintech Market Forecast: Breakup by Country (USD Billion), 2023-2028
12.    Europe AI in Fintech Historical Market: Breakup by Country (USD Billion), 2018-2022
13.    Europe AI in Fintech Market Forecast: Breakup by Country (USD Billion), 2023-2028
14.    Asia Pacific AI in Fintech Historical Market: Breakup by Country (USD Billion), 2018-2022
15.    Asia Pacific AI in Fintech Market Forecast: Breakup by Country (USD Billion), 2023-2028
16.    Latin America AI in Fintech Historical Market: Breakup by Country (USD Billion), 2018-2022
17.    Latin America AI in Fintech Market Forecast: Breakup by Country (USD Billion), 2023-2028
18.    Middle East and Africa AI in Fintech Historical Market: Breakup by Country (USD Billion), 2018-2022
19.    Middle East and Africa AI in Fintech Market Forecast: Breakup by Country (USD Billion), 2023-2028
20.    Global AI in Fintech Market Structure.

Key Questions Answered in the Report

In 2021, the global market of ai in fintech attained a value of nearly USD 9.67 billion.

The market is projected to grow at a CAGR of 22.4% between 2023 and 2028.

The market is estimated to witness healthy growth in the forecast period of 2023-2028 to reach USD 32.57 billion by 2027.

The primary industry drivers include the advanced technology implementation and increasing investment in research and development for automation and working with big data sets in a better way.

Widespread use of smart mobile payment applications and AI for automation are the key trends followed by the industry.

The major regions in the industry are North America, Latin America, the Middle East, Africa, Europe, and Asia Pacific, with North America accounting for the leading region and Asia Pacific showing rapid growth rates.

The different types in the market include solutions and services.

The segments of deployment in the market include cloud and on-premises.

The different applications in the market include chatbots, credit scoring, quantitative and asset management, and fraud detection, among others.

The major players in the industry are Intel Corporation, Google LLC, Microsoft Corporation, IBM Corporation, and TIBCO Software Inc., among others.

Analyst Review

The global ai fintech market attained a value of USD 9.67 billion in 2021, driven by the rising prevalence of smart mobile payment applications. Aided by the growing technological advancements, the market is expected to grow at a CAGR of 22.4% in the forecast period of 2023-2028. The market is projected to reach USD 32.57 billion by 2027.

EMR’s meticulous research methodology delves deep into the market, covering the macro and micro aspects of the industry. The market can be segmented based on its types into solutions and services. Based on deployment, the segments in the market include cloud and on-premises. The applications in the market for ai in fintech include chatbots, credit scoring, quantitative and asset management, and fraud detection, among others. The major regional markets for ai in fintech are North America, Europe, Asia Pacific, Latin America, the Middle East, and Africa, with North America being the largest region of the market and Asia Pacific. The key players in the above market include Intel Corporation, Google LLC, Microsoft Corporation, IBM Corporation, and TIBCO Software Inc., among others.

EMR’s research methodology uses a combination of cutting-edge analytical tools and the expertise of their highly accomplished team, thus, providing their customers with market insights that are accurate, actionable, and help them remain ahead of their competition.

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