Artificial Intelligence in Fintech Market Report 2022:

Artificial Intelligence in Fintech Market Report 2022:

Dublin, Nov. 23, 2022 (GLOBE NEWSWIRE) — The “Artificial Intelligence in Fintech Market: Global Analysis and Growth Forecast to 2027” report has been added to’s offering.

The adoption of AI systems and techniques in finance is growing rapidly, enabled by the abundance of available data and the increased affordability of computing capacity. AI is increasingly deployed by financial services providers across the financial industry in sectors such as retail and corporate banking, fraud monitoring and detection, natural language processing (NLP), customer service, asset management, trading and insurance. AI is also being deployed in supervisory technology (Suptech) and regulatory technology (Regtech) applications by financial authorities and public sector firms.

The deployment of AI techniques in finance can create efficiencies by minimizing commissions and fees related to transaction execution and by improving productivity levels, leading to higher profitability. Furthermore, the use of automation and technology-enabled cost reduction allows for spending effectiveness, capacity reallocation and improved transparency in decision-making. Applications of AI in financial services accelerate the quality of services and products offered to financial customers, increase the personalization of products, and diversify product offerings. AI helps businesses unlock the potential data insights needed to identify investment strategies and enhance financial inclusions by allowing organizations to analyze the creditworthiness of clientswith minimal credit history.

Increasing digitization in the banking, financial services and insurance (BFSI) industry is one of the essential aspects propelling market growth across the globe. AI in fintech is extensively utilized for operating virtual assistance, sentiment and predictive analysis, debt collection, reporting, and customer behavior analysis. It helps drive efficiency, curtails the chances of human error and processes large volumes of data in a short time span. In addition, AI also helps in the automated and real-time examination of cash, investment and credit accounts for evaluating individual financial health and developing customized insights for future development.

In addition, technological advances such as combining financial technology solutions with ML, big data, evolutionary algorithms and neural networks will also aid market growth. These technologies offer enhanced supervising of financial transactions, speech recognition, risk management and secured network access to financial institutions and banks.

Report Includes

  • A comprehensive overview and up-to-date analysis of the current and future global markets for artificial intelligence (AI) in the financial services industry
  • Analyses of the global market trends, with market revenue data for 2021, estimates for 2022, 2023 and 2025, and projections of compound annual growth rates (CAGRs) through 2027
  • Global market outlook and estimation of the actual market size for AI in Fintech, revenue forecast, and corresponding market share analysis based on component, deployment, application, and region
  • Assessment of the key growth driving factors and constraints that will shape the market for AI in financial services, as the basis for projecting demand over the next five years (2022-2027)
  • Identification of the companies best positioned to meet this demand owing to or in conjunction with their proprietary technologies, product launches, M&A deals, and other market strategic advantages
  • Coverage of the technological, economic, and business considerations of the AI in Fintech market, with analyses and growth forecasts through 2027
  • Analysis of the vendor landscape and the global company share analysis of the companies based on their segmental revenues

Market Dynamics

Market Drivers

  • Safeguarding Customer Accounts Against Cyber Attacks and Banking Fraud
  • Increasing Digitization of the BFSI Industry
  • Demand for RPA in Financial Institutions

Market Challenges

  • Data Confidentiality and Privacy Concerns
  • Need for Skilled Workforce to Deploy Ai in Fintech
  • Increasing Competition in the Finance Sector

Market Opportunities

  • Increasing Mobile Workforce
  • Increasing Use of AI-Enabled Solutions in the Capital Market

Key Topics Covered:

Chapter 1 Introduction

Chapter 2 Executive Summary and Highlights

Chapter 3 Industry Outlook

Chapter 4 Market Dynamics

Chapter 5 Market Breakdown by Component

Chapter 6 Market Breakdown by Deployment

Chapter 7 Market Breakdown by Application

Chapter 8 Market Breakdown by Region

Chapter 9 Competitive Landscape

Chapter 10 Company Profiles

Companies Mentioned

  • Active.Ai
  • Affirm Inc.
  • Alphabet Inc.
  • Amelia US LLC
  • Betterment
  • Complyadvantage
  • Dataminr
  • IBM Corp.
  • Intel Corp.
  • Microsoft Corp.
  • Nuance Communications Inc.
  • Onfido
  • Ripple
  • Salesforce.Com Inc.
  • Sift
  • Tibco Software Inc.
  • Upstart Network Inc.
  • Verint Systems Inc.
  • Wealthfront Corp.

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