The Global AI in Fintech Market Size was valued at $8.23 billion in 2021, and is projected to reach $61.30 billion by 2031, growing at a CAGR of 22.5% from 2022 to 2031. In the ever-evolving landscape of financial technology, AI has emerged as a transforming element that has helped individuals handle, invest, and deal with their finances. The amalgamation of AI and financial technology has led to the development of innovative services in this domain. Several leading fintech companies have broadly started adopting AI to improve customer experience by providing accessible, personalized, and efficient monetary operations.
Prime determinants of growth
Improved customer services with the help of chatbots, virtual helpers, and artificial intelligence interfaces and use in fraud detection drive the growth of the global AI in fintech market. However, strict laws restrain the market growth. Contrarily, fintech companies are increasingly harnessing the power of AI for fintech crypto to automate workflows, improve decision making, and add value. Therefore, this is a major factor expected to provide lucrative opportunity in the coming years.
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AI in the financial sector is classified with the incorporation of a series of technologies including machine learning, cognitive computing, NLP, and predictive analytics. They allow fintech companies to observe customer data to enhance regulatory compliance, make data-driven decisions, and improve overall customer experience. This cutting-edge technology also offers advanced assistants such as chatbots and key algorithms to handle customer inquiries and predict creditworthiness. This is expected to lead to the rise of the next-generation fintech companies in the coming years.
Prominent ways AI is revolutionizing modern fintech companies
The global AI in fintech market Share has experienced significant growth due to the increased demand for sophisticated solutions to provide improved customer services. According to a report published by Allied Market Research, the industry is predicted to rise at a CAGR of 22.5% from 2022 to 2031. Nowadays, leading companies in this domain have emphasized the adoption of AI-powered virtual assistants such as AiseraGPT to boost customer interaction. It uses conversational AI to offer personalized support, making financial advice and assistance more accessible than ever. Moreover, Erica, an advanced chatbot designed by Bank of America has changed the way of customer interaction within a banking setting. Apart from performing routine tasks, this chatbot performs complicated tasks which include tailored financial advice. It also facilitates transactions and offers value-added services. In this way, advanced chatbots allow human agents to focus on other important tasks, resulting in enhanced workforce efficiency.
Furthermore, AI plays a major role in developing unparalleled anti-fraud systems. These systems observe transaction patterns of individuals in real-time to identify abnormalities indicating fraudulent activities. Advanced AI models adapt to evolving fraud tactics that ensure banking and financial institutions handle cybercriminals effectively. This bold approach toward protecting assets enables fintech companies to build customer trust and maintain a strong position in the market.
AI transforming credit scoring and data-centric long-term planning
Artificial intelligence has also contributed to enhancing credit scoring by offering dynamic assessments of credit risks. AI-powered systems help analyze a wide range of data including social-media activity, and mobile phone usage patterns to identify applicants’ default on debt obligations. Thus, it leads to measuring accurate credit scores, enabling financial organizations to reduce the risk of credit obligations for lenders and expand financial inclusion by offering credit access.
Furthermore, the potential of AI for extensive data analysis enables fintech companies to make long-term plans and develop policies. It also provides insights into market trends, customer preferences, and operational inefficiencies, enabling institutions to make informed decisions. This data-centric approach has helped many leading companies in this domain, allowing them to adapt to industry changes, improve operations, and deliver superior value to customers and stakeholders.
Comply Advantage and Robinhood Markets key initiatives to expand AI capabilities
In April 2024, Comply Advantage, a renowned provider of financial crime intelligence announced its acquisition of Golden Recursion Inc., a developer of a self-constructing knowledge database. With this acquisition, Comply Adantage aims to utilize AI and ML technologies to screen through the databases of entities, providing clients with a detailed and precise assessment of crime risks. The firm also envisions offering the most relevant data to its clients, enabling them to make data-driven decisions to reduce the chances of financial crimes.
In addition, in July 2023, Robinhood Markets, Inc., an American financial services company acquired Pluto Capital Inc., an AI-based investment research platform. Through this agreement, Robinhood plans to integrate the advanced AI capabilities of Pluto, offering personalized investment strategies and real-time insights to its users. The firm also aims to expand its data analytics and AI-driven decision-making capabilities by utilizing Pluto’s large language models. Moreover, Mayank Agarwal, the VP of Robinhood, expressed that with this acquisition the company aims to offer tailored investment solutions, providing sophisticated financial services to a broader audience.
Temenos’ new Gen AI suite for boosting real-time customer engagement
In May 2024, Temenos, a leading SaaS cloud banking provider, announced the launch of its first responsible Gen AI solutions for core banking. With this launch, the company aims to help banks revolutionize the way they interact with their data to alter operations, product management, and efficiency. Temenos’ new suite of Gen AI solutions helps banking and financial institutions improve customer engagement by instantly solving their queries. Moreover, it also enables banks to create products in real time depending on changing customer preferences.
Key Benefits for Stakeholders
- This report provides a quantitative analysis of the market segments, current trends, estimations, and dynamics of the AI in FinTech market forecast from 2021 to 2031 to identify the prevailing AI in FinTech market opportunity.
- The market research is offered along with information related to key drivers, restraints, and opportunities.
- Porter’s five forces analysis highlights the potency of buyers and suppliers to enable stakeholders make profit-oriented business decisions and strengthen their supplier-buyer network.
- In-depth analysis of the AI in FinTech market outlook assists to determine the prevailing market opportunities.
- Major countries in each region are mapped according to their revenue contribution to the global market.
- Market player positioning facilitates benchmarking and provides a clear understanding of the present position of the market players.
- The report includes the analysis of the regional as well as global AI in FinTech market trends, key players, market segments, application areas, and market growth strategies.
AI in Fintech Market Report Highlights
Aspects Details
By Component
Solution
Services
By Deployment Mode
On-premise
Cloud
By Application
Customer Behavioral Analytics
Others
Virtual Assistants (Chatbots)
Business Analytics and Reporting
By Region
North America (U.S., Canada)
Europe (United Kingdom, Germany, France, Spain, Russia, Netherlands, Rest of Europe)
Asia-Pacific (China, India, Japan, Australia, Singapore, Rest of Asia-Pacific)
LAMEA (Latin America, Middle East, Africa)
Key Market Players
Amazon Web Services, Inc., Cognizant, Oracle Corporation, Microsoft, IBM, Intel Corporation, FiCO, TIBCO Software, Inc., SAP SE, Hewlett Packard Enterprise Development LP, HCL Technologies Limited, Inbenta Holdings Inc., Cisco Systems, Inc., Capgemini, Google, Saleforce, Inc., ComplyAdvantage
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