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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 (2017-2027); 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 2022-2027 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 2021
Historical Period 2017-2021
Forecast Period 2022-2027
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.

 

*We at Expert Market Research always strive to give you the latest information. The numbers in the article are only indicative and may be different from the actual 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    Industry Opportunities and Challenges  
8    Global AI in Fintech Market Analysis

    8.1    Key Industry Highlights
    8.2    Global AI in Fintech Historical Market (2017-2021) 
    8.3    Global AI in Fintech Market Forecast (2022-2027)
    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 (2017-2021)
            8.4.1.3    Forecast Trend (2022-2027)
        8.4.2    Services
            8.4.2.1    Market Share
            8.4.2.2    Historical Trend (2017-2021)
            8.4.2.3    Forecast Trend (2022-2027)
    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 (2017-2021)
            8.5.1.3    Forecast Trend (2022-2027)
        8.5.2    On-premises
            8.5.2.1    Market Share
            8.5.2.2    Historical Trend (2017-2021)
            8.5.2.3    Forecast Trend (2022-2027)
    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 (2017-2021)
            8.6.1.3    Forecast Trend (2022-2027)
        8.6.2    Credit Scoring
            8.6.2.1    Market Share
            8.6.2.2    Historical Trend (2017-2021)
            8.6.2.3    Forecast Trend (2022-2027)
        8.6.3    Quantitative and Asset Management
            8.6.3.1    Market Share
            8.6.3.2    Historical Trend (2017-2021)
            8.6.3.3    Forecast Trend (2022-2027)
        8.6.4    Fraud Detection
            8.6.4.1    Market Share
            8.6.4.2    Historical Trend (2017-2021)
            8.6.4.3    Forecast Trend (2022-2027)
        8.6.5    Others
    8.7    Global AI in Fintech Market by Region
        8.7.1    Market Share
            8.7.1.1    North America
            8.7.1.2    Europe
            8.7.1.3    Asia Pacific
            8.7.1.4    Latin America
            8.7.1.5    Middle East and Africa
9    Regional Analysis
    9.1    North America
        9.1.1    Historical Trend (2017-2021)
        9.1.2    Forecast Trend (2022-2027)
        9.1.3    Breakup by Country
            9.1.3.1    United States of America 
            9.1.3.2    Canada
    9.2    Europe
        9.2.1    Historical Trend (2017-2021)
        9.2.2    Forecast Trend (2022-2027)
        9.2.3    Breakup by Country 
            9.2.3.1    United Kingdom
            9.2.3.2    Germany
            9.2.3.3    France
            9.2.3.4    Italy
            9.2.3.5    Others
    9.3    Asia Pacific
        9.3.1    Historical Trend (2017-2021)
        9.3.2    Forecast Trend (2022-2027)
        9.3.3    Breakup by Country
            9.3.3.1    China
            9.3.3.2    Japan
            9.3.3.3    India
            9.3.3.4    ASEAN
            9.3.3.5    Australia
            9.3.3.6    Others
    9.4    Latin America
        9.4.1    Historical Trend (2017-2021)
        9.4.2    Forecast Trend (2022-2027)
        9.4.3    Breakup by Country
            9.4.3.1    Brazil
            9.4.3.2    Argentina
            9.4.3.3    Mexico
            9.4.3.4    Others
    9.5    Middle East and Africa
        9.5.1    Historical Trend (2017-2021)
        9.5.2    Forecast Trend (2022-2027)
        9.5.3    Breakup by Country
            9.5.3.1    Saudi Arabia
            9.5.3.2    United Arab Emirates
            9.5.3.3    Nigeria
            9.5.3.4    South Africa
            9.5.3.5    Others
10    Market Dynamics
    10.1    SWOT Analysis
        10.1.1    Strengths
        10.1.2    Weaknesses
        10.1.3    Opportunities
        10.1.4    Threats
    10.2    Porter’s Five Forces Analysis
        10.2.1    Supplier’s Power
        10.2.2    Buyer’s Power
        10.2.3    Threat of New Entrants
        10.2.4    Degree of Rivalry
        10.2.5    Threat of Substitutes
    10.3    Key Indicators for Demand
    10.4    Key Indicators for Price
11    Competitive Landscape
    11.1    Market Structure
    11.2    Company Profiles
        11.2.1    Intel Corporation
            11.2.1.1    Company Overview
            11.2.1.2    Product Portfolio
            11.2.1.3    Demographic Reach and Achievements
            11.2.1.4    Certifications
        11.2.2    Google LLC
            11.2.2.1    Company Overview
            11.2.2.2    Product Portfolio
            11.2.2.3    Demographic Reach and Achievements
            11.2.2.4    Certifications
        11.2.3    Microsoft Corporation
            11.2.3.1    Company Overview
            11.2.3.2    Product Portfolio
            11.2.3.3    Demographic Reach and Achievements
            11.2.3.4    Certifications
        11.2.4    IBM Corporation
            11.2.4.1    Company Overview
            11.2.4.2    Product Portfolio
            11.2.4.3    Demographic Reach and Achievements
            11.2.4.4    Certifications
        11.2.5    TIBCO Software Inc.
            11.2.5.1    Company Overview
            11.2.5.2    Product Portfolio
            11.2.5.3    Demographic Reach and Achievements
            11.2.5.4    Certifications
        11.2.6    Others
12    Industry Events and Developments

 

List of Key Figures and Tables

1.    Global AI in Fintech Market: Key Industry Highlights, 2017 and 2027
2.    Global AI in Fintech Historical Market: Breakup by Type (USD Billion), 2017-2021
3.    Global AI in Fintech Market Forecast: Breakup by Type (USD Billion), 2022-2027
4.    Global AI in Fintech Historical Market: Breakup by Deployment (USD Billion), 2017-2021
5.    Global AI in Fintech Market Forecast: Breakup by Deployment (USD Billion), 2022-2027
6.    Global AI in Fintech Historical Market: Breakup by Application (USD Billion), 2017-2021
7.    Global AI in Fintech Market Forecast: Breakup by Application (USD Billion), 2022-2027
8.    Global AI in Fintech Historical Market: Breakup by Region (USD Billion), 2017-2021
9.    Global AI in Fintech Market Forecast: Breakup by Region (USD Billion), 2022-2027
10.    North America AI in Fintech Historical Market: Breakup by Country (USD Billion), 2017-2021
11.    North America AI in Fintech Market Forecast: Breakup by Country (USD Billion), 2022-2027
12.    Europe AI in Fintech Historical Market: Breakup by Country (USD Billion), 2017-2021
13.    Europe AI in Fintech Market Forecast: Breakup by Country (USD Billion), 2022-2027
14.    Asia Pacific AI in Fintech Historical Market: Breakup by Country (USD Billion), 2017-2021
15.    Asia Pacific AI in Fintech Market Forecast: Breakup by Country (USD Billion), 2022-2027
16.    Latin America AI in Fintech Historical Market: Breakup by Country (USD Billion), 2017-2021
17.    Latin America AI in Fintech Market Forecast: Breakup by Country (USD Billion), 2022-2027
18.    Middle East and Africa AI in Fintech Historical Market: Breakup by Country (USD Billion), 2017-2021
19.    Middle East and Africa AI in Fintech Market Forecast: Breakup by Country (USD Billion), 2022-2027
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 2022 and 2027.

The market is estimated to witness healthy growth in the forecast period of 2022-2027 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 2022-2027. 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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