AI in Fintech Market Size Report, Share, Industry Analysis, Trends, Growth 2023-2030

AI in Fintech Market

AI in Fintech Market - By Component (Solutions and Services), By Deployment (Cloud and On-Premise), By Application (Fraud Detection, Business Analytics & Reporting, Customer Analytics, and Virtual Assistants), and By Region - Global and Regional Industry Overview, Market Intelligence, Comprehensive Analysis, Historical Data, and Forecasts 2023 – 2030

Category: Technology & Media Report Format : PDF Pages: 225 Report Code: ZMR-7863 Published Date: Dec-2023 Status : Published
Market Size in 2022 Market Forecast in 2030 CAGR (in %) Base Year
USD 12.12 Billion USD 42.17 Billion 17% 2022

AI in Fintech Industry Prospective:

The global AI in fintech market size was evaluated at $12.12 billion in 2022 and is slated to hit $42.17 billion by the end of 2030 with a CAGR of nearly 17% between 2023 and 2030.

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AI in Fintech Market: Overview

The fintech sector has always highlighted making use of technologies such as AI to make financial services more accessible, proficient, and user-friendly. Moreover, one of the major benefits offered by AI is that it can help fintech firms in making informed decisions. Additionally, AI-driven algorithms can process big data along with recognizing trends & patterns that humans cannot identify or recognize manually. This makes financial institutes & fintech firms make apt forecasts, thereby enhancing risk management strategies.  

Key Insights

  • As per the analysis shared by our research analyst, the global AI in fintech market is projected to expand annually at the annual growth rate of around 17% over the forecast timespan (2023-2030)
  • In terms of revenue, the global AI in fintech market size was evaluated at nearly $12.12 billion in 2022 and is expected to reach $42.17 billion by 2030.
  • The global AI in fintech market is anticipated to grow rapidly over forecast timeline owing to rise in the use of AI in fintech firms for automating repetitive jobs.
  • In terms of application, the business analytics & reporting segment is slated to register the fastest CAGR over the forecast timeframe.
  • Based on component, the solutions segment is predicted to lead the segmental growth in the next eight years.
  • Based on deployment, the on-premise segment is expected to dominate the segmental expansion in the forecast period.
  • Region-wise, the Asia-Pacific AI in fintech industry is projected to register the fastest CAGR during the assessment timeline.

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AI in Fintech Market: Growth Factors

A surge in the penetration of AI in fintech firms for automating monotonous & tedious work to define the growth of the market globally 

The use of AI in FinTech enables in automation of repetitive tasks, thereby prompting the growth of global AI in  fintech market. Many financial institutions perform financial operations manually and it has proved to be time-consuming and error-prone, thereby prompting financial institutions to adopt AI-driven systems for automating manual tasks and thus help the staff focus on more complicated and value-based financial activities. With AI offering a seamless experience to consumers, there will likely be a prominent rise in the use of AI in fintech business in the coming years. Reportedly, AI-driven chatbots and virtual assistants offer consumers 24/7 support along with personalized recommendations, thereby enhancing customer satisfaction.

Furthermore, AI helps fintech firms as well as financial institutions understand the requirements & preferences of consumers, thereby assisting them in offering customized & personalized financial products & services. Many fintech firms making use of AI technologies have successfully raised funds for expanding their business across the globe. For instance, in November 2023, Black Ore, a U.S.-based AI fintech firm, acquired nearly $60 million in the form of funding from firms such as Oak HC/FT and 16z.  Launching of new AI products will further contribute to the demand and use of AI in fintech business. Citing an instance, in August 2023, Tiger Brokers, a fintech firm, introduced an AI chatbox referred to as TigerGPT, an AI-driven investment assistant that helps investors in making correct decisions pertaining to financial investments. Such initiatives will determine the growth of the market across the globe in the years to come.

AI in Fintech Market: Restraints

Less demand for AI in fintech companies of emerging economies of APAC & LATAM can undermine the industry growth over the forecast period

Strict government laws regulating the use of AI in various financial institutions to curb the menace of hacking, data leaks, and other financial frauds can put brakes on the growth of AI in fintech industry. However, lesser use of AI in fintech firms across the developing countries of Asia and Latin America can deter the growth of the industry in the near future.

AI in Fintech Market: Opportunities

The necessity of providing a seamless experience of financial transactions to end-users can open new growth opportunities for the global market 

Escalating the need for enhancing the consumer experience, reducing costs, and providing better analytics has helped firms unravel the application as well as the untapped growth potential of AI in fintech market across the globe. The large-scale use of AI in fintech firms helps Neobanks & robo-advisors in opening to a wide range of target customers along with providing customers with convenience as AI chatbots can answer all the queries of customers. Additionally, AI enables fintech organizations in effective bill tracking, market analytics, and personal finance management activities.  

AI in Fintech Market: Challenges

Risks of data theft & data breaches can subvert the expansion of the global industry over the forecast timeframe

The machine learning algorithms in AI are sometimes biased as they are trained on a particular kind of data, thereby unfairly treating or discriminating customers such as offering loans on credit to customers based on demographics, income, age, transaction limit, and loan payment history. This aspect can prove a huge challenge for large-scale penetration of AI in fintech industry across the globe. Growing concerns related to data security, data leaks, confidentiality, and privacy along with an increase in cyber-terrorism and cyber-attacks can decimate the growth of the industry globally.  

AI in Fintech Market: Segmentation

The global AI in fintech market is sectored into component, deployment, application, and region.                                   

In component terms, the AI in fintech market across the globe is segregated into solutions and services segments. Furthermore, the solutions segment, which led the component space in 2022, is predicted to continue leading the segment even during the forecast timeline. The expansion of the segment during 2023-2030 can be due to a rise in the installation of AI-based solutions in the BFSI sector owing to the need for extracting huge data accurately. Furthermore, flourishing retail banking activities and the humungous necessity of detecting financial frauds along with the need for improving consumer experience will steer the segmental surge.  

Based on the application, the global AI in fintech industry is sectored into fraud detection, business analytics & reporting, customer analytics, and virtual assistants segments. Additionally, the business analytics & reporting segment, which acquired a key share of the global industry in 2022, is anticipated to record the fastest CAGR over the next eight years. The segmental expansion over the forecast timeline can be owing to the increased use of AI in business analytics & reporting activities across the fintech firms. Moreover, it helps fintech firms make informed business decisions along with improving their operational efficiency.  

Based on the deployment, the global AI in fintech market is sectored into the cloud and on-premise segments. Additionally, the on-premise segment, which acquired a key share of the global market in 2022, is predicted to lead the segmental surge over the next eight years. The segmental expansion over the forecast timeframe can be owing to an increase in the on-premise deployment of AI tools in various small as well as large & medium-sized enterprises.    

AI in Fintech Market: Report Scope

Report Attributes Report Details
Report Name AI in Fintech Market
Market Size in 2022 USD 12.12 Billion
Market Forecast in 2030 USD 42.17 Billion
Growth Rate CAGR of 17%
Number of Pages 225
Key Companies Covered Microsoft Corporation, Salesforce Inc., International Business Machines Corp., ComplyAdvantage.com, Nuance Communications Inc., Oracle Corporation, Google LLC, Inbenta Technologies, Amazon Web Services, Intel Corporation, Narrative Science, Instructure Inc., Amelia U.S. LLC, Upstart Network Inc., Affirm Inc., and others.
Segments Covered By Component, By Application, By Deployment, and By Region
Regions Covered North America, Europe, Asia Pacific (APAC), Latin America, Middle East, and Africa (MEA)
Base Year 2022
Historical Year 2017 to 2021
Forecast Year 2023 - 2030
Customization Scope Avail customized purchase options to meet your exact research needs. Request For Customization

AI in Fintech Market: Regional Insights

North America is predicted to retain its leading position in the global AI in Fintech market over the forecast timeline

North America, which contributed about three-fourths of the global AI in fintech market proceeds in 2022, will be a leading region over the forecast timespan. Moreover, the regional market expansion over the coming eight years is subject to the large-scale presence of AI tool suppliers along with a rise in the investment by various financial institutes for deploying AI software in their institutes. Apart from this, an increase in the favorable schemes introduced by governments towards AI use in the BFSI sector will further steer the expansion of the market in North America. Citing an instance, in 2022, the government of the U.S. spent nearly $4 billion on AI contracts. In addition to this, major industry players in countries such as the U.S. are forming strategic alliances to offer efficient AI services to fintech firms in the region. For the record, in the second half of 2022, Zest AI, a key AI firm in the U.S. helping firms make proper credit decisions, joined hands with Equifax, Inc., a U.S.-based customer credit firm, to help the latter effectively analyze big data by using its underwriting systems.

Asia-Pacific AI in fintech industry is set to record the fastest CAGR in the coming eight years. The regional industry expansion over 2023-2030 can be attributed to favorable government measures enlarging the use of AI in a spectrum of fintech firms in countries such as Japan, China, Taiwan Singapore, and South Korea. Additionally, key players have made huge investments in the sub-continent for promoting the use of AI in fintech firms for enhancing the operational efficiency of these fintech firms. For instance, in the first quarter of 2022, Finbots.AI, an AI firm headquartered in Singapore, declared series A funding of nearly $3 million for bringing improvements in AI products.

AI in Fintech Market: Competitive Space

The global AI in fintech market profiles key players such as:

  • Microsoft Corporation
  • Salesforce Inc.
  • International Business Machines Corp.
  • ComplyAdvantage.com
  • Nuance Communications Inc.
  • Oracle Corporation
  • Google LLC
  • Inbenta Technologies
  • Amazon Web Services
  • Intel Corporation
  • Narrative Science
  • Instructure Inc.
  • Amelia U.S. LLC
  • Upstart Network Inc.
  • Affirm Inc.

The global AI in fintech market is segmented as follows:

By Component

  • Solutions
  • Services

By Application

  • Fraud Detection
  • Business Analytics & Reporting
  • Customer Analytics
  • Virtual Assistants

By Deployment

  • Cloud
  • On-Premise

By Region

  • North America
    • The U.S.
    • Canada
  • Europe
    • France 
    • The UK
    • Spain
    • Germany
    • Italy
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Southeast Asia
    • Rest of Asia Pacific
  • Latin America
    • Brazil
    • Mexico
    • Rest of Latin America
  • Middle East & Africa
    • GCC
    • South Africa
    • Rest of Middle East & Africa

Table Of Content

Methodology

FrequentlyAsked Questions

The fintech sector has always highlighted making use of technologies such as AI to make financial services more accessible, proficient, and user-friendly. Moreover, one of the major benefits offered by AI is that it can help fintech firms in making informed decisions.                

The global AI in fintech market growth can be owing to many financial institutions performing financial operations manually which prove to be time-consuming and error-prone, thereby prompting financial institutions to adopt AI-driven systems for automating manual tasks and thus helping the staff focus on more complicated and value-based financial activities.

According to a study, the global AI in fintech industry size was $12.12 billion in 2022 and is projected to reach $42.17 billion by the end of 2030.

The global AI in fintech market is anticipated to record a CAGR of nearly 17% from 2023 to 2030.

The Asia-Pacific AI in Fintech industry is set to register the fastest CAGR over the forecasting timeline owing to favorable government measures enlarging the use of AI in a spectrum of fintech firms in countries such as Japan, China, Taiwan Singapore, and South Korea. Additionally, key players have made huge investments in the sub-continent for promoting the use of AI in fintech firms for enhancing the efficiency of operations in these fintech firms.         

 The global AI in fintech market is led by players such as Microsoft Corporation, Salesforce, Inc.,   International Business Machines Corp., ComplyAdvantage.com, Nuance Communications, Inc., Oracle Corporation, Google LLC, Inbenta Technologies, Amazon Web Services, Intel Corporation, Narrative Science, Instructure, Inc., Amelia U.S. LLC, Upstart Network, Inc., and Affirm, Inc.

The global AI in fintech market report covers the geographical market along with a comprehensive competitive landscape analysis. It also includes cash flow analysis, profit ratio analysis, market basket analysis, market attractiveness analysis, sentiment analysis, PESTEL analysis, trend analysis, SWOT analysis, trade area analysis, demand & supply analysis, Porter’s five force analysis, and value chain analysis.

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