AI in Fintech Market Research Report Information By Component (Solution and Services), By Deployment Mode (On-premise and Cloud), By Application (Virtual Assistants (Chatbots), Business Analytics and Reporting, Customer Behavioral Analytics, and Others), and By Region (North America, Europe, Asia-Pacific, and Rest Of The World) – Market Forecast Till 2032

Global AI in Fintech Market Overview

AI in Fintech Market Size was valued at USD 9.6 Billion in 2022. The AI in Fintech market industry is projected to grow from USD 11.2 Billion in 2023 to USD 39.1 Billion by 2032, exhibiting a compound annual growth rate (CAGR) of 16.90% during the forecast period (2023 - 2032). Increasing use of the internet, the availability of geographic data, and the demand for process automation among financial institutions, are the key market drivers enhancing the market growth.

Deployment Mode: Secondary Research, Primary Research, MRFR Database and Analyst Review

AI in Fintech Market Trends

• The increasing digitization of the banking, financial services, and insurance (BFSI) industry is driving the market growth

One of the key factors driving the market's growth is the global banking, financial services, and insurance (BFSI) sector's growing digitization. Al is often used in fintech for running virtual support, debt recovery, sentiment and predictive analysis, reporting, and consumer behaviour analysis. It increases productivity, reduces the possibility of human error, and can quickly process large amounts of data. Al also assists in the automated and real-time analysis of bank, credit, and investment accounts to assess a person's financial situation and produce tailored insights for future growth. Numerous technological developments, including the integration of fintech solutions with ML, neural networks, big data, and evolutionary algorithms, are also contributing to this expansion. These technologies provide improved risk management, speech recognition, greater financial transaction oversight, and safe network connectivity to financial institutions.

Fintech, or financial technology, uses cutting-edge technology to enhance or automate banking and investing processes. To identify and stop fraud through digital banking channels, financial organisations frequently use artificial intelligence (AI). Inclusions include mobile banking, digital loans, insurance, credit scores, buying and selling activities, and asset management. By observing how customers interact and taking their purchases into account, AI technologies can ascertain a customer's normal behaviour. For instance, the release of ARDEN was announced by Brightwell Payments, Inc. in May 2022. This financial services company creates financial solutions to transport money safely anywhere in the world. This risk-detection engine powered by AI helps fintech to safeguard its cardholders and financial assets. Banks all across the world are implementing AI-enabled solutions to boost security, and AI provides banks with the advantages of digitization. Additionally, it gives them an advantage over other fintech firms. Apps that need UPI, a fingerprint, or face identification are available from financial institutions. For instance, the Unified Payments Interface (UPI), an AI-enabled platform, was developed to handle 5.58 billion transactions in March 2022, according to the National Payments Corp. of India, a specialised division of the Reserve Bank of India.

The adoption of AI in the financial industry is thought to be primarily driven by this broadening spectrum of applications. For instance, the Singapore-based fintech company Laze Trader Pte. Ltd. announced the launch of Lazeer AI in May 2022. Lazeer AI is an AI trading programme that was created to assist Forex traders in making consistent profits with no effort. The trading programme has the ability to automatically manage, analyse, and carry out trades. The software's auto-trading feature reduces the need for human traders, enabling more users to profit even if they lack trading knowledge. The business wants to make forex trading available to as many people as it can. Thus, driving the AI in Fintech market revenue.

AI in Fintech Market Segment Insights

AI in Fintech Component Insights

The AI in Fintech Market segmentation, based on component, includes solution and services. Solution segment dominated the global market in 2022. The large portion can be credited to software tools because they help with the deployment of AI-enabled banking sector solutions to extract accurate and full data with a sizable volume of data and on time. Solutions from some organisations help businesses do things like expand their retail banking operations using next-best-action technologies, identify and stop financial fraud, and strengthen client relationships using multichannel customer experience solutions. For instance, Versapay, a Canadian financial technology business that specialises in accounts receivable software, bought DadeSystems Inc. in May 2022 to expand its AR automation, artificial intelligence, and machine learning capabilities.

AI in Fintech Deployment Mode Insights

The AI in Fintech Market segmentation, based on deployment mode, includes on-premise and cloud. On-premise segment dominated the global market in 2022. On-premise deployment assists enterprises in installing software or services on a financial institution's premises or systems. The cloud segment will register the fastest CAGR during the forecast period.

AI in Fintech Application Insights

The AI in Fintech Market segmentation, based on application, includes virtual assistants (chatbots), business analytics and reporting, customer behavioral analytics, and others. Business analytics and reporting segment dominated the AI in Fintech Market in 2022. Customer behaviour analysis and regulatory and compliance monitoring are made easier by business analytics and reporting. Several elements, including improved operational effectiveness, more educated choice-making, and more revenue, can be credited for the segment's growth. To help them make better business decisions, several companies use big data, AI, and business analytics. As a result of the considerable changes in the fintech market, this area of AI in the fintech industry is growing. In the upcoming years, customer behavioural analytics will experience tremendous development.

Figure 1: AI in Fintech Market, by Application, 2022 & 2032 (USD Billion)

Deployment Mode: Secondary Research, Primary Research, MRFR Database and Analyst Review

AI in Fintech Regional Insights

By region, the study provides the market insights into North America, Europe, Asia-Pacific and Rest of the World. The North America AI in Fintech Market dominated this market in 2022 (45.80%). This high percentage can be attributed to the U.S. and Canada's developed economies placing a high priority on inventions that are the result of R&D. The AI technology in fintech is more competitive and developing in several areas. Numerous startups and new businesses that offer AI services to the banking industry also contribute to its growth. Further, the U.S. AI in Fintech market held the largest market share, and the Canada AI in Fintech market was the fastest growing market in the North America region.

Further, the major countries studied in the market report are The US, Canada, German, France, the UK, Italy, Spain, China, Japan, India, Australia, South Korea, and Brazil.

Figure 2: AI IN FINTECH MARKET SHARE BY REGION 2022 (USD Billion)

Deployment Mode: Secondary Research, Primary Research, MRFR Database and Analyst Review

Europe AI in Fintech market accounted for the healthy market share in 2022. This development can be ascribed to the region's quick acceptance of electronic payments and rising use of internet services. Further, the German AI in Fintech market held the largest market share, and the U.K AI in Fintech market was the fastest growing market in the European region

The Asia Pacific AI in Fintech market is expected to register significant growth from 2023 to 2032. Increasing technical advancement has made APAC a promising market. Numerous potential for the development of AI in the financial industry are created by the swift expansion of domestic companies and favourable governmental policies. Moreover, China’s AI in Fintech market held the largest market share, and the Indian AI in Fintech market was the fastest growing market in the Asia-Pacific region.

AI in Fintech Key Market Players & Competitive Insights

Leading market players are investing heavily in research and development in order to expand their product lines, which will help the AI in Fintech market, grow even more. Market participants are also undertaking a variety of strategic activities to expand their global footprint, with important market developments including new product launches, contractual agreements, mergers and acquisitions, higher investments, and collaboration with other organizations. To expand and survive in a more competitive and rising market climate, AI in Fintech industry must offer cost-effective items.

Manufacturing locally to minimize operational costs is one of the key business tactics used by manufacturers in the global AI in Fintech industry to benefit clients and increase the market sector. In recent years, the AI in Fintech industry has offered some of the most significant advantages to medicine. Major players in the AI in Fintech market, including Amazon Web Services, Inc., Cisco Systems, Inc., ComplyAdvantage, Cognizant, Capgemini, FICO, Google, Hewlett Packard Enterprise Development LP, HCL Technologies Limited, IBM, Intel Corporation, Inbenta Holdings Inc., Microsoft, Oracle, Saleforce, Inc., SAP SE, and TIBCO Software, Inc., are attempting to increase market demand by investing in research and development operations.

Through the Clydesdale Bank, Yorkshire Bank, and Virgin Money brands, Virgin Money UK Plc (VMUK), previously CYBG PLC (CYBG), offers consumer and business banking products as well as related financial solutions. The company provides a variety of accounts and deposits services, such as current and savings accounts, term deposits, and business accounts. It also provides loans for home improvements, debt consolidation, home purchases, and mortgages, as well as card products like credit cards and debit cards. It also provides corporate financing, life and non-life insurance, foreign exchange services, treasury solutions, and digital banking solutions. Virgin Money and SurePay joined together in June 2022 to safeguard customers against fraud and improperly directed internet payments.

Software development, licencing, and support are all services provided by Microsoft Corp. (Microsoft). The company provides a wide variety of operating systems, server applications, cross-device productivity tools, business solution tools, desktop and server administration tools, video games, and training and certification services. Additionally, it creates, produces, and markets hardware items like PCs, tablets, game consoles, and other sophisticated gadgets. The company offers a wide range of services, such as consultancy, cloud-based solutions, and solution support. Microsoft debuted a cloud for the financial sector in February 2021, headquartered on a platform that integrates Microsoft 365, Azure, Dynamics 365, and Microsoft Power Platform.

Key Companies in the AI in Fintech market include

• Amazon Web Services, Inc.


• Cisco Systems, Inc.


• ComplyAdvantage


• Cognizant


• Capgemini


• FICO


• Google


• Hewlett Packard Enterprise Development LP


• HCL Technologies Limited


• IBM


• Intel Corporation


• Inbenta Holdings Inc.


• Microsoft


• Oracle


• Saleforce, Inc.


• SAP SE


• TIBCO Software, Inc.

AI in Fintech Industry Developments

April 2022 For Fintech, Web3, and cryptocurrency enterprises, Cross River and Sardine have teamed up to develop essential risk and payments infrastructure. As part of its integrated fraud prevention software for fiat and cryptocurrency transactions, Sardine will make use of Cross River's payments technology.

AI in Fintech Market Segmentation

AI in Fintech Component Outlook

• Solution


• Services

AI in Fintech Deployment Mode Outlook

• On-premise


• Cloud

AI in Fintech Application Outlook

• Virtual Assistants (Chatbots)


• Business Analytics and Reporting


• Customer Behavioral Analytics


• Others

AI in Fintech Regional Outlook

• North America
  
  
  
  • US
  
  
  • Canada
  
  
  
  


• Europe
  
  
  
  • Germany
  
  
  • France
  
  
  • UK
  
  
  • Italy
  
  
  • Spain
  
  
  • Rest of Europe
  
  
  
  


• Asia-Pacific
  
  
  
  • China
  
  
  • Japan
  
  
  • India
  
  
  • Australia
  
  
  • South Korea
  
  
  • Australia
  
  
  • Rest of Asia-Pacific
  
  
  
  


• Rest of the World
  
  
  
  • Middle East
  
  
  • Africa
  
  
  • Latin America