The generative artificial intelligence in fintech market size is expected to see exponential growth in the next few years. It will grow to $9.76 billion in 2030 at a compound annual growth rate (CAGR) of 35%. The growth in the forecast period can be attributed to increasing investments in ai-native fintech platforms, rising demand for real-time financial insights, expansion of ai-driven automation across banking operations, growing focus on hyper-personalized financial products, increasing integration of generative ai with core banking systems. Major trends in the forecast period include increasing adoption of generative ai for fraud detection, rising use of ai-driven personalized financial advisory, expansion of predictive analytics in risk management, growing integration of ai in compliance automation, enhanced deployment of ai-powered customer assistants.
The growing adoption of digital banking is expected to drive the expansion of generative artificial intelligence (AI) in the fintech market. Digital banking involves leveraging digital technologies to provide and manage banking services via online platforms and mobile applications. The rise in digital banking is fueled by the convenience it offers, widespread smartphone adoption, advancements in financial technology, and the demand for secure and efficient financial transaction management. Generative AI supports digital banking by automating complex operations, personalizing customer interactions, and enhancing decision-making processes, allowing financial institutions to optimize operations, manage risks, and deliver more efficient, tailored banking experiences. For example, in April 2024, UK Finance Limited reported that digital-only bank accounts in the UK grew from 24% in 2023 to 36% in 2024. Consequently, the shift toward digital banking is propelling growth in the generative AI fintech market.
Key market players are developing sophisticated AI solutions to improve operational efficiency and investment decision-making. Generative AI bond assistants, for instance, help streamline bond trading by providing real-time analytics, supporting liquidity discovery, and assisting in bond selection based on specific criteria. In June 2023, LTX by Broadridge launched BondGPT, a generative AI application built on OpenAI’s GPT-4, designed to enhance trading efficiency in the U.S. corporate bond market. BondGPT offers a conversational interface for bond-related queries, integrates real-time liquidity data from LTX’s Liquidity Cloud, and uses advanced bond similarity algorithms to match bonds with user-defined parameters, simplifying portfolio construction and pricing decisions for asset managers, hedge funds, and dealers.
In January 2025, Advisor360 LLC, a U.S.-based fintech company, acquired Parrot AI to enhance its platform with generative AI-powered transcription, summarization, and workflow automation. Parrot AI specializes in AI-driven software that automates tasks across advisory and financial workflows, improving advisor productivity and integrating advanced AI meeting intelligence into wealth management tools.
Major companies operating in the generative artificial intelligence in fintech market are Google LLC, Microsoft Corporation, Amazon Web Services Inc., IBM, Morgan Stanley, Capgemini Services SAS, Mastercard International Inc., Infosys Ltd., Temenos AG, Upstart Network Inc., Darktrace Holdings Limited, C3.ai Inc., DataRobot Inc., Kore.ai Inc., AlphaSense Inc., H2O.ai Inc., Zest AI Inc., Kasisto Inc., CLARA Analytics Inc., Salesforce Inc.
North America was the largest region in the generative artificial intelligence (AI) in the fintech market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the generative artificial intelligence in fintech market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the generative artificial intelligence in fintech market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
The generative artificial intelligence (AI) in the fintech market consists of revenues earned by entities by providing services such as automated trading algorithms, personalized financial advisory, and risk management solutions. The market value includes the value of related goods sold by the service provider or included within the service offering. The generative artificial intelligence in the fintech market also includes sales of graphics processing units, tensor processing units, network infrastructure, and edge computing devices. Values in this market are ‘factory gate’ values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
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Table of Contents
Executive Summary
Generative Artificial Intelligence in Fintech Market Global Report 2026 provides strategists, marketers and senior management with the critical information they need to assess the market.This report focuses generative artificial intelligence in fintech market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
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Description
Where is the largest and fastest growing market for generative artificial intelligence in fintech? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The generative artificial intelligence in fintech market global report answers all these questions and many more.The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.
- The market characteristics section of the report defines and explains the market. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
- The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
- The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
- The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
- The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
- The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
- The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
- The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
- Market segmentations break down the market into sub markets.
- The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
- Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
- The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
- The company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.
Report Scope
Markets Covered:
1) By Component: Service; Software2) By Deployment: on-Premises; Cloud
3) By Application: Compliance and Fraud Detection; Personal Assistants; Asset Management; Predictive Analysis; Insurance; Business Analytics and Reporting; Customer Behavioral Analytics; Other Applications
4) By End-Use: Retail Banking; Investment Banking; Stock Trading Firms; Hedge Funds; Other End-Uses
Subsegments:
1) By Service: Consulting Services for AI Integration; Implementation and Deployment Services; Technical Support and Maintenance; Training and Education Services; Data Management and Analytics Services; Custom Development Services2) By Software: Fraud Detection and Prevention Solutions; Risk Assessment and Management Tools; Algorithmic Trading Platforms; Personalized Financial Advisory Software; Automated Compliance and Reporting Tools; Customer Relationship Management (CRM) Systems
Companies Mentioned: Google LLC; Microsoft Corporation; Amazon Web Services Inc.; IBM; Morgan Stanley; Capgemini Services SAS; Mastercard International Inc.; Infosys Ltd.; Temenos AG; Upstart Network Inc.; Darktrace Holdings Limited; C3.ai Inc.; DataRobot Inc.; Kore.ai Inc.; AlphaSense Inc.; H2O.ai Inc.; Zest AI Inc.; Kasisto Inc.; CLARA Analytics Inc.; Salesforce Inc.
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain.
Regions: Asia-Pacific; South East Asia; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time Series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita.
Data Segmentation: Country and regional historic and forecast data, market share of competitors, market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Delivery Format: Word, PDF or Interactive Report + Excel Dashboard
Added Benefits:
- Bi-Annual Data Update
- Customisation
- Expert Consultant Support
Companies Mentioned
The companies featured in this Generative Artificial Intelligence in Fintech market report include:- Google LLC
- Microsoft Corporation
- Amazon Web Services Inc.
- IBM
- Morgan Stanley
- Capgemini Services SAS
- Mastercard International Inc.
- Infosys Ltd.
- Temenos AG
- Upstart Network Inc.
- Darktrace Holdings Limited
- C3.ai Inc.
- DataRobot Inc.
- Kore.ai Inc.
- AlphaSense Inc.
- H2O.ai Inc.
- Zest AI Inc.
- Kasisto Inc.
- CLARA Analytics Inc.
- Salesforce Inc.
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 250 |
| Published | January 2026 |
| Forecast Period | 2026 - 2030 |
| Estimated Market Value ( USD | $ 2.94 Billion |
| Forecasted Market Value ( USD | $ 9.76 Billion |
| Compound Annual Growth Rate | 35.0% |
| Regions Covered | Global |
| No. of Companies Mentioned | 21 |


