핀테크 분야 AI 시장 - 세계 산업 규모, 점유율, 동향, 기회, 예측 : 구성요소별, 전개 방식별, 용도별, 지역별 및 경쟁(2021-2031년)

The Global market for AI in Fintech is anticipated to expand from USD 17.61 billion in 2025 to reach USD 51.05 billion by 2031, reflecting a compound annual growth rate of 19.41%. By leveraging cutting-edge technologies like machine learning, predictive analytics, and natural language processing, artificial intelligence streamlines financial processes. These intelligent systems enable automated workflows, improve strategic decision-making, and offer highly customized client experiences across the financial sector. The market's upward trajectory is primarily fueled by the need for strong fraud detection security, the desire to cut costs and boost operational efficiency via automation, and the growing necessity for strict risk management and regulatory adherence.

Furthermore, the rising consumer demand for tailored financial offerings plays a major role in driving this market growth. As noted in the Bank for International Settlements' G20 2025 report, its Innovation Hub had already initiated nine specific projects utilizing artificial intelligence by 2025. However, a significant obstacle to broader market growth is the complicated and constantly shifting regulatory environment, which requires financial organizations to continually adjust their strategies and dedicate substantial resources to maintain both accountability and transparency.

Market Driver

Improved customer experience and deep personalization act as major catalysts for the global AI in Fintech market. Through artificial intelligence, financial organizations can offer highly customized products, anticipatory financial guidance, and swift customer service via smart virtual assistants. This empowers institutions to thoroughly understand unique consumer habits and preferences, which in turn boosts user engagement and brand loyalty. As reported by SuperAGI in June 2025, personalization powered by AI has the potential to elevate customer satisfaction metrics by 25%, positively impacting service adoption and client retention. These innovations surpass one-size-fits-all approaches, delivering customized banking journeys that meet the modern consumer's desire for individualized financial services.

The rapid digital evolution within the financial sector serves as another key driver, with global institutions dedicating themselves to upgrading their operational systems and infrastructure using AI. This modernization includes the automation of foundational tasks, the improvement of strategic choices through real-time data insights, and the creation of novel digital solutions. Major financial commitments highlight this movement, such as JPMorgan Chase forecasting its 2026 technology spending at $20 billion, according to an American Banker report from February 2026. This represents a 10% rise compared to 2025, heavily focused on funding artificial intelligence initiatives. This widespread adoption is fundamentally changing the delivery and consumption of financial services, motivated by the need to maintain competitive efficiency. The practical deployment of AI is accelerating industry-wide, as evidenced by BNP Paribas reporting over 800 active AI applications in May 2025, aiming to surpass 1,000 by the close of that year.

Market Challenge

The complex and ever-evolving landscape of regulatory compliance presents a major hurdle for the growth of the global AI in Fintech market. Financial organizations are forced to continuously adapt to this shifting environment, constantly analyzing and applying fresh regulations concerning financial stability, data protection, and the ethical application of artificial intelligence. This unending need to maintain regulatory harmony redirects vital assets, such as expert talent and financial investments, away from the creation and rollout of new AI technologies and into compliance management.

Firms seeking to fund cutting-edge AI technologies face additional difficulties due to the fast-paced nature of technological advancement paired with the necessity for transparent and accountable AI systems. As noted by the European Banking Federation in 2025, eurozone banks faced projected initial expenses of over €2 billion just for the rollout of a digital euro. Consequently, a large portion of a bank's expert workforce is tied up each year in these digital finance compliance tasks, severely limiting their ability to pursue other innovative projects like artificial intelligence. This dynamic inherently delays the integration of modern AI tools, as financial entities choose to focus on minimizing risks in their current workflows rather than launching novel products that might violate new regulations.

Market Trends

A prominent trend in the industry is the transition toward proactive, AI-powered regulatory compliance, known as RegTech, which focuses on predicting and minimizing regulatory risks rather than merely reacting to them. Banks and financial firms are expanding their use of artificial intelligence to automate real-time transaction oversight, anti-money laundering protocols, and know-your-customer verifications. By utilizing machine learning to process massive amounts of data, these tools can spot irregularities and foresee compliance issues, thereby boosting precision and cutting down on manual labor. As reported by FinanceX Magazine in April 2026, investments in US RegTech rebounded in 2025 to reach $5.9 billion across 294 transactions, representing a 17% year-over-year funding growth. Embracing these technologies enables financial organizations to ensure strict regulatory supervision while better distributing their internal resources.

Another crucial trend is the widespread integration of generative AI, which is fundamentally altering operational workflows and client interactions across the financial sector. Moving past basic chatbots, today's generative AI systems can automate standard communications, digest intricate financial data, and produce tailored content, ultimately creating a more captivating experience for the consumer. Within the organization, these tools are utilized to draft documents, compile reports, and aid in data interpretation, leading to significant improvements in daily efficiency. According to a Databricks Blog post from April 2026, roughly 94% of financial companies are either testing or actively utilizing generative AI for essential operations such as customized product creation, pricing strategies, and cybersecurity. This extensive utilization highlights the technology's revolutionary impact on optimizing internal processes and elevating customer relations.

Key Market Players

• IBM Corporation
• Microsoft Corporation
• Alphabet Inc.
• Amazon Web Services, Inc.
• Salesforce, Inc.
• Intel Corporation
• NVIDIA Corporation
• Oracle Corporation
• SAP SE
• Infosys Limited

Report Scope

In this report, the Global AI in Fintech Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

AI in Fintech Market, By Component

• Solution
• Services

AI in Fintech Market, By Deployment Mode

• Cloud
• On-Premise

AI in Fintech Market, By Region

• North America
  • United States
  • Canada
  • Mexico
• Europe
  • France
  • United Kingdom
  • Italy
  • Germany
  • Spain
• Asia Pacific
  • China
  • India
  • Japan
  • Australia
  • South Korea
• South America
  • Brazil
  • Argentina
  • Colombia
• Middle East & Africa
  • South Africa
  • Saudi Arabia
  • UAE

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global AI in Fintech Market.

Available Customizations:

Global AI in Fintech Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

• Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Product Overview

• 1.1. Market Definition
• 1.2. Scope of the Market
  • 1.2.1. Markets Covered
  • 1.2.2. Years Considered for Study
  • 1.2.3. Key Market Segmentations

2. Research Methodology

• 2.1. Objective of the Study
• 2.2. Baseline Methodology
• 2.3. Key Industry Partners
• 2.4. Major Association and Secondary Sources
• 2.5. Forecasting Methodology
• 2.6. Data Triangulation & Validation
• 2.7. Assumptions and Limitations

3. Executive Summary

• 3.1. Overview of the Market
• 3.2. Overview of Key Market Segmentations
• 3.3. Overview of Key Market Players
• 3.4. Overview of Key Regions/Countries
• 3.5. Overview of Market Drivers, Challenges, Trends

4. Voice of Customer

5. Global AI in Fintech Market Outlook

• 5.1. Market Size & Forecast
  • 5.1.1. By Value
• 5.2. Market Share & Forecast
  • 5.2.1. By Component (Solution (Software Tools, Platform), Services (Managed, Professional))
  • 5.2.2. By Deployment Mode (Cloud, On-Premise)
  • 5.2.3. By Region
  • 5.2.4. By Company (2025)
• 5.3. Market Map

6. North America AI in Fintech Market Outlook

• 6.1. Market Size & Forecast
  • 6.1.1. By Value
• 6.2. Market Share & Forecast
  • 6.2.1. By Component
  • 6.2.2. By Deployment Mode
  • 6.2.3. By Country
• 6.3. North America: Country Analysis
  • 6.3.1. United States AI in Fintech Market Outlook
    • 6.3.1.1. Market Size & Forecast
      • 6.3.1.1.1. By Value
    • 6.3.1.2. Market Share & Forecast
      • 6.3.1.2.1. By Component
      • 6.3.1.2.2. By Deployment Mode
  • 6.3.2. Canada AI in Fintech Market Outlook
    • 6.3.2.1. Market Size & Forecast
      • 6.3.2.1.1. By Value
    • 6.3.2.2. Market Share & Forecast
      • 6.3.2.2.1. By Component
      • 6.3.2.2.2. By Deployment Mode
  • 6.3.3. Mexico AI in Fintech Market Outlook
    • 6.3.3.1. Market Size & Forecast
      • 6.3.3.1.1. By Value
    • 6.3.3.2. Market Share & Forecast
      • 6.3.3.2.1. By Component
      • 6.3.3.2.2. By Deployment Mode

7. Europe AI in Fintech Market Outlook

• 7.1. Market Size & Forecast
  • 7.1.1. By Value
• 7.2. Market Share & Forecast
  • 7.2.1. By Component
  • 7.2.2. By Deployment Mode
  • 7.2.3. By Country
• 7.3. Europe: Country Analysis
  • 7.3.1. Germany AI in Fintech Market Outlook
    • 7.3.1.1. Market Size & Forecast
      • 7.3.1.1.1. By Value
    • 7.3.1.2. Market Share & Forecast
      • 7.3.1.2.1. By Component
      • 7.3.1.2.2. By Deployment Mode
  • 7.3.2. France AI in Fintech Market Outlook
    • 7.3.2.1. Market Size & Forecast
      • 7.3.2.1.1. By Value
    • 7.3.2.2. Market Share & Forecast
      • 7.3.2.2.1. By Component
      • 7.3.2.2.2. By Deployment Mode
  • 7.3.3. United Kingdom AI in Fintech Market Outlook
    • 7.3.3.1. Market Size & Forecast
      • 7.3.3.1.1. By Value
    • 7.3.3.2. Market Share & Forecast
      • 7.3.3.2.1. By Component
      • 7.3.3.2.2. By Deployment Mode
  • 7.3.4. Italy AI in Fintech Market Outlook
    • 7.3.4.1. Market Size & Forecast
      • 7.3.4.1.1. By Value
    • 7.3.4.2. Market Share & Forecast
      • 7.3.4.2.1. By Component
      • 7.3.4.2.2. By Deployment Mode
  • 7.3.5. Spain AI in Fintech Market Outlook
    • 7.3.5.1. Market Size & Forecast
      • 7.3.5.1.1. By Value
    • 7.3.5.2. Market Share & Forecast
      • 7.3.5.2.1. By Component
      • 7.3.5.2.2. By Deployment Mode

8. Asia Pacific AI in Fintech Market Outlook

• 8.1. Market Size & Forecast
  • 8.1.1. By Value
• 8.2. Market Share & Forecast
  • 8.2.1. By Component
  • 8.2.2. By Deployment Mode
  • 8.2.3. By Country
• 8.3. Asia Pacific: Country Analysis
  • 8.3.1. China AI in Fintech Market Outlook
    • 8.3.1.1. Market Size & Forecast
      • 8.3.1.1.1. By Value
    • 8.3.1.2. Market Share & Forecast
      • 8.3.1.2.1. By Component
      • 8.3.1.2.2. By Deployment Mode
  • 8.3.2. India AI in Fintech Market Outlook
    • 8.3.2.1. Market Size & Forecast
      • 8.3.2.1.1. By Value
    • 8.3.2.2. Market Share & Forecast
      • 8.3.2.2.1. By Component
      • 8.3.2.2.2. By Deployment Mode
  • 8.3.3. Japan AI in Fintech Market Outlook
    • 8.3.3.1. Market Size & Forecast
      • 8.3.3.1.1. By Value
    • 8.3.3.2. Market Share & Forecast
      • 8.3.3.2.1. By Component
      • 8.3.3.2.2. By Deployment Mode
  • 8.3.4. South Korea AI in Fintech Market Outlook
    • 8.3.4.1. Market Size & Forecast
      • 8.3.4.1.1. By Value
    • 8.3.4.2. Market Share & Forecast
      • 8.3.4.2.1. By Component
      • 8.3.4.2.2. By Deployment Mode
  • 8.3.5. Australia AI in Fintech Market Outlook
    • 8.3.5.1. Market Size & Forecast
      • 8.3.5.1.1. By Value
    • 8.3.5.2. Market Share & Forecast
      • 8.3.5.2.1. By Component
      • 8.3.5.2.2. By Deployment Mode

9. Middle East & Africa AI in Fintech Market Outlook

• 9.1. Market Size & Forecast
  • 9.1.1. By Value
• 9.2. Market Share & Forecast
  • 9.2.1. By Component
  • 9.2.2. By Deployment Mode
  • 9.2.3. By Country
• 9.3. Middle East & Africa: Country Analysis
  • 9.3.1. Saudi Arabia AI in Fintech Market Outlook
    • 9.3.1.1. Market Size & Forecast
      • 9.3.1.1.1. By Value
    • 9.3.1.2. Market Share & Forecast
      • 9.3.1.2.1. By Component
      • 9.3.1.2.2. By Deployment Mode
  • 9.3.2. UAE AI in Fintech Market Outlook
    • 9.3.2.1. Market Size & Forecast
      • 9.3.2.1.1. By Value
    • 9.3.2.2. Market Share & Forecast
      • 9.3.2.2.1. By Component
      • 9.3.2.2.2. By Deployment Mode
  • 9.3.3. South Africa AI in Fintech Market Outlook
    • 9.3.3.1. Market Size & Forecast
      • 9.3.3.1.1. By Value
    • 9.3.3.2. Market Share & Forecast
      • 9.3.3.2.1. By Component
      • 9.3.3.2.2. By Deployment Mode

10. South America AI in Fintech Market Outlook

• 10.1. Market Size & Forecast
  • 10.1.1. By Value
• 10.2. Market Share & Forecast
  • 10.2.1. By Component
  • 10.2.2. By Deployment Mode
  • 10.2.3. By Country
• 10.3. South America: Country Analysis
  • 10.3.1. Brazil AI in Fintech Market Outlook
    • 10.3.1.1. Market Size & Forecast
      • 10.3.1.1.1. By Value
    • 10.3.1.2. Market Share & Forecast
      • 10.3.1.2.1. By Component
      • 10.3.1.2.2. By Deployment Mode
  • 10.3.2. Colombia AI in Fintech Market Outlook
    • 10.3.2.1. Market Size & Forecast
      • 10.3.2.1.1. By Value
    • 10.3.2.2. Market Share & Forecast
      • 10.3.2.2.1. By Component
      • 10.3.2.2.2. By Deployment Mode
  • 10.3.3. Argentina AI in Fintech Market Outlook
    • 10.3.3.1. Market Size & Forecast
      • 10.3.3.1.1. By Value
    • 10.3.3.2. Market Share & Forecast
      • 10.3.3.2.1. By Component
      • 10.3.3.2.2. By Deployment Mode

11. Market Dynamics

• 11.1. Drivers
• 11.2. Challenges

12. Market Trends & Developments

• 12.1. Merger & Acquisition (If Any)
• 12.2. Product Launches (If Any)
• 12.3. Recent Developments

13. Global AI in Fintech Market: SWOT Analysis

14. Porter's Five Forces Analysis

• 14.1. Competition in the Industry
• 14.2. Potential of New Entrants
• 14.3. Power of Suppliers
• 14.4. Power of Customers
• 14.5. Threat of Substitute Products

15. Competitive Landscape

• 15.1. IBM Corporation
  • 15.1.1. Business Overview
  • 15.1.2. Products & Services
  • 15.1.3. Recent Developments
  • 15.1.4. Key Personnel
  • 15.1.5. SWOT Analysis
• 15.2. Microsoft Corporation
• 15.3. Alphabet Inc.
• 15.4. Amazon Web Services, Inc.
• 15.5. Salesforce, Inc.
• 15.6. Intel Corporation
• 15.7. NVIDIA Corporation
• 15.8. Oracle Corporation
• 15.9. SAP SE
• 15.10. Infosys Limited

16. Strategic Recommendations

17. About Us & Disclaimer