Global AI in Fintech Market Analysis and Growth Forecast Report 2021: Market is Projected to Increase to $46.88 Billion by 2030 from $7.70 Million in 2020, at a 19.8% CAGR between 2020-2030


Dublin, Jan. 28, 2022 (GLOBE NEWSWIRE) -- The "AI in Fintech Market Research Report - Global Industry Analysis and Growth Forecast to 2030" report has been added to's offering.

The global AI in fintech market size is projected to increase to $46,881.9 million by 2030 from $7,702.7 million in 2020, at a 19.8% CAGR between 2020 and 2030.

With AI, the efficiency of financial processes and the security of money-related data can be improved massively. For instance, in regard to fraud detection, AI monitors people's online transactional behavior so that any deviation and a potential fraud can be identified in real time and stopped right there.

Moreover, AI helps in automating several processes in the banking, financial services, and insurance (BFSI) sector, such as online customer engagement via chatbots, claims processing, and answering frequently asked questions (FAQs). This not only allows BFSI companies to reduce their expenditure in hiring humans for these tasks but also engage these employees in more-important tasks, such as decision making and strategizing.

AI solutions have been in a higher demand than managed and professional services because the former conduct question and answer (Q&A) processing, natural language processing (NLP) and generation, facial recognition, video and image analysis, and speech recognition.

Cloud deployment has brought in more revenue for AI in fintech market players because when deployed on the cloud, AI understands the historical data and learns from it, offers suggestions, and analyzes the current trends. AI solutions find the widest application in the fintech sector for quantitative and asset management, where they allow analysts to extract high volumes of data with ease.

Mobile payments are the key trend in the market as their increasing volume is encouraging online payment platforms to equip themselves with AI for better management, higher efficiency, and reduced fraud. The BFSI sector of North America, led by that of the U.S., is the largest user of AI solutions. This is ascribed to the presence of some of the largest IT and financial corporations, developed IT infrastructure, and rising penetration of advanced technologies.

After the initial hiccups during the COVID-19 pandemic, the BFSI sector has again started adopting AI solutions, primarily to manage and secure the rising volume of online transactions. In the years to come, the AI in fintech market will witness the fastest growth in Asia-Pacific (APAC) on account of the economic prosperity and increasing investments in its IT sector.

Moreover, the rapid digitization of the regional BFSI industry, apparent in the surging volume of online transactions, is driving the adoption of AI. Further, as part of their growth strategy, solution providers are targeting the untapped BFSI sector of APAC.

Amazon Web Services Inc., Microsoft Corporation, Intel Corporation, Oracle Corporation, Alphabet Inc., IBM Corporation, HCL Technologies Limited, SAS Institute Inc.,, Cognizant Technology Solutions Corporation, IPsoft Incorporated, and Capgemini SE are the major AI in fintech market players.

Due to the presence of these and many more companies, the market is competitive and characterized by the high number of partnerships and collaborations.

Market Dynamics


  • Hyper-Personalization Via Big Data and Ai
  • Mobile Payment Innovations


  • Companies Focusing On Cost-Cutting and Efficiency Improvements
  • Increasing Demand For Process Automation Among Financial Organizations
  • New Technological Advancements
  • Impact Analysis of Drivers On Market Forecast


  • Lack of Qualified Ai Professionals
  • High Cost of Ai-Based Solutions

Impact Analysis of Restraints On Market Forecast

  • Impact of COVID-19
  • Value Chain Analysis
  • Porter's Five Forces Analysis

Company Profiles

  • Inc.
  • Oracle Corporation
  • Intel Corporation
  • Alphabet Inc.
  • Microsoft Corporation
  • International Business Machines (IBM) Corporation
  • SAS Institute Inc.
  • IPsoft Incorporated
  • Genesys Telecommunications Laboratories Inc.
  • HCL Technologies Limited

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