AI in Fintech Market Size & Share Analysis - Growth Trends & Forecasts (2025 - 2030)

The AI in Fintech Market Report is Segmented by Type (Solutions and Services), Deployment (Cloud and On-Premise), Application (Chatbots, Credit Scoring, Quantitative and Asset Management, Fraud Detection, and Other Applications), and Geography (North America, Europe, Asia-Pacific, Latin America, and Middle East and Africa). The Market Sizes and Forecasts are Provided in Terms of Value (USD) for all the Above Segments.

AI in Fintech Market Size & Share Analysis - Growth Trends & Forecasts (2025 - 2030)

AI In Fintech Market Size

AI in Fintech Market Summary
Study Period 2019 - 2030
Market Size (2025) USD 18.31 Billion
Market Size (2030) USD 53.30 Billion
CAGR (2025 - 2030) 23.82 %
Fastest Growing Market Asia-Pacific
Largest Market North America
Market Concentration Low

Major Players

AI In Fintech Market Major Players

*Disclaimer: Major Players sorted in no particular order

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AI In Fintech Market Analysis

The AI In Fintech Market size is estimated at USD 18.31 billion in 2025, and is expected to reach USD 53.30 billion by 2030, at a CAGR of 23.82% during the forecast period (2025-2030).

  • Payment- and wealth-focused fintech companies have focused on bolstering their existing infrastructure by investing in new resources or expanding their capacity to withstand the stress to their systems from higher transaction volumes. Though it initially seemed challenging for fintech companies, such actions have provided a significant need for AI solutions as these companies depend on transaction volumes for revenue. Such factors are expected to spearhead the demand for AI solutions in the fintech market.
  • Financial firms have been the early adopters of the mainframe computer and relational database. They eagerly wait for the next level of computational power. Artificial intelligence (AI) improves results by applying methods derived from the aspects of human intelligence at a broader scale. The computational arms race for past years has revolutionized fintech companies. Technologies such as machine learning, AI, neural networks, Big Data Analytics, and evolutionary algorithms have allowed computers to crunch huge, varied, diverse, and deeper datasets than ever before.
  • Moreover, AI and machine learning have benefited banks and fintech as they can process vast amounts of information about customers. This data and information are then compared to obtain results about timely services/products that customers want, which has aided, essentially, in developing customer relations.
  • Additionally, machine learning is being adopted at unprecedented rates, specifically to create propensity models. Banks and insurance companies are introducing machine learning-based solutions for web and mobile applications. This has further enhanced real-time target marketing by predicting the product propensity of customers based on behavioral data in real time.
  • AI-driven chatbots and virtual assistants are revolutionizing the financial industry, enhancing customer engagement and satisfaction. They deliver immediate, tailored customer support, manage routine queries, suggest products, and aid in account management. These AI-driven services operate round the clock, ensuring customers can seek assistance at any hour. Furthermore, AI platforms analyze customer data, enabling a deeper understanding of preferences and behaviors.
  • Moreover, several credit card companies implement predictive analytics into their existing fraud detection workflows to reduce false positives. The market is further gaining traction, with several players offering AI-based anti-money laundering (AML) and fraud detection solutions for credit card companies and other financial institutions.
  • AI-ready infrastructure should be capable of efficient data management, have enough processing power, be agile, flexible, and scalable, and have the capacity to accommodate different volumes of data. Therefore, it would be more challenging for fintech small businesses to assemble the necessary hardware and software elements to support AI. Moreover, as the democratization of AI and deep learning applications expands, they are now becoming viable for small and medium-sized businesses and are not limited to only tech giants. The demand for AI professionals to do the work has ballooned as well, and the scarcity of trained resources is the major challenge for AI in fintech.

AI In Fintech Industry Overview

The AI in fintech market is becoming fragmented due to many global players operating worldwide. Various acquisitions and collaborations of large companies are expected to occur shortly, focusing on innovation. Some major players in the market include IBM Corporation, Intel Corporation, Narrative Science, and Microsoft Corporation.

  • In May 2024, Visa, in a strategic move, rolled out an AI-driven real-time fraud detection service in the United Kingdom, specifically targeting account-to-account (A2A) fraud. Following a successful pilot, which unearthed a significant 54% more fraud than traditional bank systems, Visa announced that it would be extending this service, dubbed "Visa Protect for A2A Payments," to all UK banks.
  • In June 2024, Oscilar, a prominent provider of advanced risk technology solutions for fintechs and financial institutions, unveiled its latest innovation, the AI-driven ACH Fraud Detection tool. This advanced solution swiftly and accurately detects and halts fraudulent transactions. It achieves this through a blend of sophisticated machine learning algorithms, generative AI methods, and real-time data analysis, ensuring both speed and precision.

AI In Fintech Market Leaders

  1. IBM Corporation

  2. Intel Corporation

  3. ComplyAdvantage.com

  4. Narrative Science​

  5. Amazon Web Services, Inc.​

  6. *Disclaimer: Major Players sorted in no particular order
AI in Fintech Market Concentration
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AI In Fintech Market News

  • February 2024: Payments giant Mastercard built its own proprietary generative artificial intelligence model to help thousands of banks in its network detect and root out fraudulent transactions. According to the company, its new advanced AI model, Decision Intelligence Pro, would allow banks to better assess suspicious transactions on its network in real time and determine whether they are legitimate or not.
  • April 2024: Cognizant unveiled a strategic partnership with FICO, a prominent analytics software firm, to introduce a cloud-based, real-time payment fraud prevention solution. This innovative solution, driven by FICO Falcon Fraud Manager, harnesses both companies’ advanced AI and ML technologies. It has been tailored to assist banks and payment service providers in North America, safeguarding their clientele amid the rapid expansion of digital payment platforms.

AI in Fintech Market Report - Table of Contents

1. INTRODUCTION

  • 1.1 Study Assumptions and Market Definition
  • 1.2 Scope of the Study

2. RESEARCH METHODOLOGY

3. EXECUTIVE SUMMARY

4. MARKET INSIGHTS

  • 4.1 Market Overview
  • 4.2 Industry Attractiveness - Porter's Five Forces Analysis
    • 4.2.1 Bargaining Power of Suppliers
    • 4.2.2 Bargaining Power of Buyers
    • 4.2.3 Threat of New Entrants
    • 4.2.4 Threat of Substitutes
    • 4.2.5 Intensity of Competitive Rivalry
  • 4.3 Emerging Uses of AI in Financial Technology
  • 4.4 Technology Snapshot
  • 4.5 Impact of Microeconomic Factors on the Market

5. MARKET DYNAMICS

  • 5.1 Market Drivers
    • 5.1.1 Increasing Demand for Process Automation Among Financial Organizations
    • 5.1.2 Increasing Availability of Data Sources
  • 5.2 Market Restraints
    • 5.2.1 Need for Skilled Workforce

6. MARKET SEGMENTATION

  • 6.1 By Type
    • 6.1.1 Solutions
    • 6.1.2 Services
  • 6.2 By Deployment
    • 6.2.1 Cloud
    • 6.2.2 On-premise
  • 6.3 By Application
    • 6.3.1 Chatbots
    • 6.3.2 Credit Scoring
    • 6.3.3 Quantitative & Asset Management
    • 6.3.4 Fraud Detection
    • 6.3.5 Other Applications
  • 6.4 By Geography
    • 6.4.1 North America
    • 6.4.2 Europe
    • 6.4.3 Asia-Pacific
    • 6.4.4 Latin America
    • 6.4.5 Middle East and Africa

7. COMPETITIVE LANDSCAPE

  • 7.1 Company Profiles
    • 7.1.1 IBM Corporation
    • 7.1.2 Intel Corporation
    • 7.1.3 ComplyAdvantage.com
    • 7.1.4 Narrative Science
    • 7.1.5 Amazon Web Services Inc.
    • 7.1.6 IPsoft Inc.
    • 7.1.7 Next IT Corporation
    • 7.1.8 Microsoft Corporation
    • 7.1.9 Onfido
    • 7.1.10 Ripple Labs Inc.
    • 7.1.11 Active.Ai
    • 7.1.12 TIBCO Software (Alpine Data Labs)
    • 7.1.13 Trifacta Software Inc.
    • 7.1.14 Data Minr Inc.
    • 7.1.15 Zeitgold
    • 7.1.16 Sift Science Inc.
    • 7.1.17 Pefin Holdings LLC
    • 7.1.18 Betterment Holdings
    • 7.1.19 WealthFront Inc.
  • *List Not Exhaustive

8. INVESTMENT ANALYSIS

9. FUTURE OF THE MARKET

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AI In Fintech Industry Segmentation

Data analysis using AI data mining tools assists fintech organizations in gathering numerous angles of information and leads to data silos. AI and ML assist organizations in gathering numerous facets of data and in ingesting, analyzing, cleaning, and archiving the data by revealing useful information.

The AI in fintech market is segmented by type into solutions and services. By deployment, the market is segmented into cloud and on-premise. By application, the market is segmented into chatbots, credit scoring, quantitative and asset management, fraud detection, and other applications. By geography, the market is segmented into North America, Europe, Asia-Pacific, Latin America, and the Middle East and Africa. The market sizes and forecasts are provided in terms of value (USD) for all the above segments.

By Type Solutions
Services
By Deployment Cloud
On-premise
By Application Chatbots
Credit Scoring
Quantitative & Asset Management
Fraud Detection
Other Applications
By Geography North America
Europe
Asia-Pacific
Latin America
Middle East and Africa
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AI in Fintech Market Research FAQs

How big is the AI In Fintech Market?

The AI In Fintech Market size is expected to reach USD 18.31 billion in 2025 and grow at a CAGR of 23.82% to reach USD 53.30 billion by 2030.

What is the current AI In Fintech Market size?

In 2025, the AI In Fintech Market size is expected to reach USD 18.31 billion.

Who are the key players in AI In Fintech Market?

IBM Corporation, Intel Corporation, ComplyAdvantage.com, Narrative Science​ and Amazon Web Services, Inc.​ are the major companies operating in the AI In Fintech Market.

Which is the fastest growing region in AI In Fintech Market?

Asia-Pacific is estimated to grow at the highest CAGR over the forecast period (2025-2030).

Which region has the biggest share in AI In Fintech Market?

In 2025, the North America accounts for the largest market share in AI In Fintech Market.

What years does this AI In Fintech Market cover, and what was the market size in 2024?

In 2024, the AI In Fintech Market size was estimated at USD 13.95 billion. The report covers the AI In Fintech Market historical market size for years: 2019, 2020, 2021, 2022, 2023 and 2024. The report also forecasts the AI In Fintech Market size for years: 2025, 2026, 2027, 2028, 2029 and 2030.

AI in Fintech Industry Report

The global market for artificial intelligence (AI) in fintech is witnessing remarkable growth, revolutionizing financial services with solutions for fraud detection, customer service, and personalized financial advice. The integration of AI technologies, including advanced chatbots and machine learning algorithms, is enhancing operational efficiencies and customer experiences. The market, segmented by components, deployment, and applications, sees a high demand for business analytics and customer behavioral analytics, with cloud deployment expected to surge due to its scalability. North America leads in AI for fintech, but the Asia Pacific region is set for rapid growth, driven by digitalization and government support. Strategic partnerships among fintech firms are fueling market expansion, with AI's application in fintech poised for wider adoption, promising significant market growth and industry transformation. For detailed insights, Mordor Intelligence™ offers a comprehensive analysis and forecast on the AI in fintech market, available as a free PDF download.