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Report
AI in Fintech Market Report and Forecast 2025-2034
Market Report I 2025-07-21 I 167 Pages I EMR Inc.
The global AI in fintech market size attained a value of approximately USD 12.61 Billion in 2024. The market is further expected to grow in the forecast period of 2025-2034 at a CAGR of 19.50%, reaching a value of around USD 74.88 Billion by 2034.
AI technology is increasingly being adopted in the fintech sector to enhance decision-making and to facilitate predictive analysis, bolstering the operational efficiency of fintech services. Meanwhile, an unpredicted wave of loan applications are likely to be among the key AI in fintech market trends, fuelling the demand for AI to sanction digital loans. Incorporation of AI in fintech enables efficient 24X7 customer service which has enhanced customer satisfaction in real-time. Technology is constantly evolving with numerous ventures initiated by companies to research and develop new processes to improve the workflow. Artificial intelligence completes many tasks simultaneously, learns self-advancement, removes the need for human intervention, and reduces the margins of error. Usage of AI is helping the financial sector gain real-time actionable insights, creating opportunities for the growth of the market for AI in fintech.
Global AI in Fintech Market Share by Region
North America accounts for a healthy share of the global market for AI in fintech, owing to the developed financial sector in countries like the United States and Canada. Increased investments in research and development and innovations in AI technology are further strengthening the market in this region. Advancing technology and adoption of internet and mobile banking are expected to augment the AI in fintech market growth further. During the COVID 19 pandemic and post-pandemic, the finance technology market experienced high growth as the industry increasingly adopted internet banking as well as technology tools. Meanwhile, the Asia Pacific region is expected to witness significant growth in the market for AI in fintech.
Market Segmentations
AI in Fintech refers to the usage of artificial intelligence in financial technology, utilising modern technologies and AI to improve operations in the financial industry and provide improved services to end-user customers. It uses computer innovations to complete and deliver financial services, and provides services through software, such as online banking, mobile payment apps, and even cryptocurrency.
Market Breakup by Type
- Solutions
- Services
Market Breakup by Deployment
- Cloud
- On-premises
Market Breakup by Application
- Chatbots
- Credit Scoring
- Quantitative and Asset Management
- Fraud Detection
- Others
Market Breakup by Region
- North America
- Europe
- Asia Pacific
- Latin America
- Middle East and Africa
Rising Adoption of Artificial Intelligence is Bolstering the Market Growth
Collaborations in the market for AI in fintech are increasing worldwide, spurred by surge in fund transfers and operations in different sectors, resulting in increasing involvement of technology in financial services. Increasing globalisation has propelled the financial sector to implement advanced technologies such as artificial intelligence to automate and secure processes against fraudulent acts. Organisations which are dealing with data pile up 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 more people depend on online transactions when they collaborate and conduct business. Accordingly, many key players are launching and providing payment platforms and are continually developing them by adding new features, which is expanding the scope of the AI in fintech market. Adopting advanced technologies has helped fintech evolve in the investment management sector; it assists businesses in evaluating investment possibilities, creating portfolios, and mitigating risks.
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.
- Super.AI Inc
- NVIDIA Corporation
- ComplyAdvantage
- Amazon Web Services, Inc.
- Amelia US LLC
- Cognizant
- Capgemini SE
- Onfido
- Fair Isaac Corporation (FICO)
- HCL Technologies Limited
- Oracle Corporation
- Salesforce, 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.
1 Executive Summary
1.1 Market Size 2024-2025
1.2 Market Growth 2025(F)-2034(F)
1.3 Key Demand Drivers
1.4 Key Players and Competitive Structure
1.5 Industry Best Practices
1.6 Recent Trends and Developments
1.7 Industry Outlook
2 Market Overview and Stakeholder Insights
2.1 Market Trends
2.2 Key Verticals
2.3 Key Regions
2.4 Supplier Power
2.5 Buyer Power
2.6 Key Market Opportunities and Risks
2.7 Key Initiatives by Stakeholders
3 Economic Summary
3.1 GDP Outlook
3.2 GDP Per Capita Growth
3.3 Inflation Trends
3.4 Democracy Index
3.5 Gross Public Debt Ratios
3.6 Balance of Payment (BoP) Position
3.7 Population Outlook
3.8 Urbanisation Trends
4 Country Risk Profiles
4.1 Country Risk
4.2 Business Climate
5 Global AI in Fintech Market Analysis
5.1 Key Industry Highlights
5.2 Global AI in Fintech Historical Market (2018-2024)
5.3 Global AI in Fintech Market Forecast (2025-2034)
5.4 Global AI in Fintech Market by Type
5.4.1 Solutions
5.4.1.1 Historical Trend (2018-2024)
5.4.1.2 Forecast Trend (2025-2034)
5.4.2 Services
5.4.2.1 Historical Trend (2018-2024)
5.4.2.2 Forecast Trend (2025-2034)
5.5 Global AI in Fintech Market by Deployment
5.5.1 Cloud
5.5.1.1 Historical Trend (2018-2024)
5.5.1.2 Forecast Trend (2025-2034)
5.5.2 On-premises
5.5.2.1 Historical Trend (2018-2024)
5.5.2.2 Forecast Trend (2025-2034)
5.6 Global AI in Fintech Market by Application
5.6.1 Chatbots
5.6.1.1 Historical Trend (2018-2024)
5.6.1.2 Forecast Trend (2025-2034)
5.6.2 Credit Scoring
5.6.2.1 Historical Trend (2018-2024)
5.6.2.2 Forecast Trend (2025-2034)
5.6.3 Quantitative and Asset Management
5.6.3.1 Historical Trend (2018-2024)
5.6.3.2 Forecast Trend (2025-2034)
5.6.4 Fraud Detection
5.6.4.1 Historical Trend (2018-2024)
5.6.4.2 Forecast Trend (2025-2034)
5.6.5 Others
5.7 Global AI in Fintech Market by Region
5.7.1 North America
5.7.1.1 Historical Trend (2018-2024)
5.7.1.2 Forecast Trend (2025-2034)
5.7.2 Europe
5.7.2.1 Historical Trend (2018-2024)
5.7.2.2 Forecast Trend (2025-2034)
5.7.3 Asia Pacific
5.7.3.1 Historical Trend (2018-2024)
5.7.3.2 Forecast Trend (2025-2034)
5.7.4 Latin America
5.7.4.1 Historical Trend (2018-2024)
5.7.4.2 Forecast Trend (2025-2034)
5.7.5 Middle East and Africa
5.7.5.1 Historical Trend (2018-2024)
5.7.5.2 Forecast Trend (2025-2034)
6 North America AI in Fintech Market Analysis
6.1 United States of America
6.1.1 Historical Trend (2018-2024)
6.1.2 Forecast Trend (2025-2034)
6.2 Canada
6.2.1 Historical Trend (2018-2024)
6.2.2 Forecast Trend (2025-2034)
7 Europe AI in Fintech Market Analysis
7.1 United Kingdom
7.1.1 Historical Trend (2018-2024)
7.1.2 Forecast Trend (2025-2034)
7.2 Germany
7.2.1 Historical Trend (2018-2024)
7.2.2 Forecast Trend (2025-2034)
7.3 France
7.3.1 Historical Trend (2018-2024)
7.3.2 Forecast Trend (2025-2034)
7.4 Italy
7.4.1 Historical Trend (2018-2024)
7.4.2 Forecast Trend (2025-2034)
7.5 Others
8 Asia Pacific AI in Fintech Market Analysis
8.1 China
8.1.1 Historical Trend (2018-2024)
8.1.2 Forecast Trend (2025-2034)
8.2 Japan
8.2.1 Historical Trend (2018-2024)
8.2.2 Forecast Trend (2025-2034)
8.3 India
8.3.1 Historical Trend (2018-2024)
8.3.2 Forecast Trend (2025-2034)
8.4 ASEAN
8.4.1 Historical Trend (2018-2024)
8.4.2 Forecast Trend (2025-2034)
8.5 Australia
8.5.1 Historical Trend (2018-2024)
8.5.2 Forecast Trend (2025-2034)
8.6 Others
9 Latin America AI in Fintech Market Analysis
9.1 Brazil
9.1.1 Historical Trend (2018-2024)
9.1.2 Forecast Trend (2025-2034)
9.2 Argentina
9.2.1 Historical Trend (2018-2024)
9.2.2 Forecast Trend (2025-2034)
9.3 Mexico
9.3.1 Historical Trend (2018-2024)
9.3.2 Forecast Trend (2025-2034)
9.4 Others
10 Middle East and Africa AI in Fintech Market Analysis
10.1 Saudi Arabia
10.1.1 Historical Trend (2018-2024)
10.1.2 Forecast Trend (2025-2034)
10.2 United Arab Emirates
10.2.1 Historical Trend (2018-2024)
10.2.2 Forecast Trend (2025-2034)
10.3 Nigeria
10.3.1 Historical Trend (2018-2024)
10.3.2 Forecast Trend (2025-2034)
10.4 South Africa
10.4.1 Historical Trend (2018-2024)
10.4.2 Forecast Trend (2025-2034)
10.5 Others
11 Market Dynamics
11.1 SWOT Analysis
11.1.1 Strengths
11.1.2 Weaknesses
11.1.3 Opportunities
11.1.4 Threats
11.2 Porter's Five Forces Analysis
11.2.1 Supplier's Power
11.2.2 Buyer's Power
11.2.3 Threat of New Entrants
11.2.4 Degree of Rivalry
11.2.5 Threat of Substitutes
11.3 Key Indicators for Demand
11.4 Key Indicators for Price
12 Competitive Landscape
12.1 Supplier Selection
12.2 Key Global Players
12.3 Key Regional Players
12.4 Key Player Strategies
12.5 Company Profiles
12.5.1 Intel Corporation
12.5.1.1 Company Overview
12.5.1.2 Product Portfolio
12.5.1.3 Demographic Reach and Achievements
12.5.1.4 Certifications
12.5.2 Google LLC
12.5.2.1 Company Overview
12.5.2.2 Product Portfolio
12.5.2.3 Demographic Reach and Achievements
12.5.2.4 Certifications
12.5.3 Microsoft Corporation
12.5.3.1 Company Overview
12.5.3.2 Product Portfolio
12.5.3.3 Demographic Reach and Achievements
12.5.3.4 Certifications
12.5.4 IBM Corporation
12.5.4.1 Company Overview
12.5.4.2 Product Portfolio
12.5.4.3 Demographic Reach and Achievements
12.5.4.4 Certifications
12.5.5 TIBCO Software Inc.
12.5.5.1 Company Overview
12.5.5.2 Product Portfolio
12.5.5.3 Demographic Reach and Achievements
12.5.5.4 Certifications
12.5.6 Super.AI Inc
12.5.6.1 Company Overview
12.5.6.2 Product Portfolio
12.5.6.3 Demographic Reach and Achievements
12.5.6.4 Certifications
12.5.7 NVIDIA Corporation
12.5.7.1 Company Overview
12.5.7.2 Product Portfolio
12.5.7.3 Demographic Reach and Achievements
12.5.7.4 Certifications
12.5.8 ComplyAdvantage
12.5.8.1 Company Overview
12.5.8.2 Product Portfolio
12.5.8.3 Demographic Reach and Achievements
12.5.8.4 Certifications
12.5.9 Amazon Web Services, Inc.
12.5.9.1 Company Overview
12.5.9.2 Product Portfolio
12.5.9.3 Demographic Reach and Achievements
12.5.9.4 Certifications
12.5.10 Amelia US LLC
12.5.10.1 Company Overview
12.5.10.2 Product Portfolio
12.5.10.3 Demographic Reach and Achievements
12.5.10.4 Certifications
12.5.11 Cognizant
12.5.11.1 Company Overview
12.5.11.2 Product Portfolio
12.5.11.3 Demographic Reach and Achievements
12.5.11.4 Certifications
12.5.12 Capgemini SE
12.5.12.1 Company Overview
12.5.12.2 Product Portfolio
12.5.12.3 Demographic Reach and Achievements
12.5.12.4 Certifications
12.5.13 Onfido
12.5.13.1 Company Overview
12.5.13.2 Product Portfolio
12.5.13.3 Demographic Reach and Achievements
12.5.13.4 Certifications
12.5.14 Fair Isaac Corporation (FICO)
12.5.14.1 Company Overview
12.5.14.2 Product Portfolio
12.5.14.3 Demographic Reach and Achievements
12.5.14.4 Certifications
12.5.15 HCL Technologies Limited
12.5.15.1 Company Overview
12.5.15.2 Product Portfolio
12.5.15.3 Demographic Reach and Achievements
12.5.15.4 Certifications
12.5.16 Oracle Corporation
12.5.16.1 Company Overview
12.5.16.2 Product Portfolio
12.5.16.3 Demographic Reach and Achievements
12.5.16.4 Certifications
12.5.17 Salesforce, Inc
12.5.17.1 Company Overview
12.5.17.2 Product Portfolio
12.5.17.3 Demographic Reach and Achievements
12.5.17.4 Certifications
12.5.18 Others
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