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Market Research Report

AI in Fintech Market - Growth, Trends and Forecast (2020 - 2025)

Published by Mordor Intelligence LLP Product code 649722
Published Content info 130 Pages
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AI in Fintech Market - Growth, Trends and Forecast (2020 - 2025)
Published: January 1, 2020 Content info: 130 Pages

Market Overview

The AI in fintech market was estimated at USD 7.27 billion in 2019 and is expected to reach USD 35.40 billion by 2025. The market is expected to witness a CAGR of 31.5% over the forecast period 2020-2025. Financial firms have been the early adopters of the mainframe computer, relational databases, and have eagerly awaited for the next level of computational power. Artificial Intelligence (AI) improves results by applying methods derived from aspects of Human Intelligence at a beyond human scale. The computational arms race for past years has revolutionized the Fintech companies. AI and machine learning have benefited the banks and fintechs as they can process huge amounts of information about customers. This data and information are then compared to obtain results about suitable services/products that customers want, which has aided, essentially, in developing customer relations. Owing to these benefits offered by the AI technology, fintech companies are increasingly demanding the AI-based solutions. Moreover, the fintech industry is witnessing a considerable increase in the number of startups. These players are also highly attracted toward the adoption of AI to automate and expand their businesses.

  • Process automation is one of the key drivers of AI in financial organizations, however, it is also evolving into cognitive process automation, where AI systems are able to perform even more complex automation processes. Recently, JPMorgan Chase invested in new technology, 'COiN' that reviews documents and extracts data in a lesser time than that taken by a human. This tool reviews about 12,000 documents in just seconds. The company has been testing other ways of using this technology as well.
  • Robotic process automation and machine learning are beginning to play an increasingly significant role in the fintech industry by reducing costs and increasing productivity. With the increase in fraud losses, process automation and machine learning are expected to witness increased adoption.
  • The third-party applications, such as WhatsApp, have integrated in-app transaction system in specific regions, including the Asia-Pacific. This will raise the bar for cyber-attacks and possibilities for fraud, owing to which the incorporation of artificial intelligence is expected to gain traction and propel the market growth.
  • Fintech space is one of the fastest growing industry across the world, owing to the rising penetration of internet users. The users are rapidly switching to mobile devices to perform a transaction or related actions, owing to rising ease and growing internet user base. Thus, mobile technologies are supporting the fintech revolution, providing innovative, secure, and accessible solutions to financial services and products, and are using AI for managing structured and unstructured data.

Scope of the Report

Artificial intelligence is a part of computer science, aiming to enable the development of computers, which can perform jobs usually done by people. Its main focus remains thinking or intelligence.

The development of AI systems tends to fall inside three main areas; building systems that think like people, creating computation models that get tasks done, and forming systems to inform and inspire, but not imitate. Fintech prioritizes financial inclusivity, and to achieve this, real-time play an important role in fintech's ease of adoption as individuals with a smartphone gain access to quick, personalized, and customized financial services.

Key Market Trends

Fraud Detection Segment is Expected to Have A Significant Growth

Fraud prevention and detection represent the most significant area of concern, for the financial institutions. This segment is likely to become one of the prominent drivers of IT expenditure. Thus, AI capable of avoiding these frauds is expected to experience increased adoption in Fintechs. Fraudulent activities in the industry have evolved, over the decades. Earlier, frauds were limited to cheque frauds and wire frauds. However, with the growth of the cybersphere and the accompanying expansion of the cybercriminal realm, fraud has taken on more virtualized forms.

Owing to rising technological penetration and digital channels (such as internet banking and mobile banking) becoming the prominent choices of customers for banking services, there is a greater need for banks to leverage fraud prevention solutions.

  • NetGuardians, a Switzerland based Fintech company established in 2007, developed an augmented intelligence solution. It has been made especially for the banks to proactively prevent fraud and empower their clients with ML technology together with contextual information and excellent user experience.The company claimed that banks using this solution were able to achieve 83% reduction in false positives and save 93% of the time lost in fraud investigation.
  • Fraud detection and management are imperative for financial institutions, now more than ever, as firms are faced with new and more sophisticated threats to client data, in addition to security breaches. Financial organizations could face fines of more than USD 1 billion, if they fail to meet government standards against money laundering, GDPR regulations, and other financial crimes.
  • For instance, HSBC paid a fine for not being compliant with AML laws. The company was fined USD 1.9 billion for its failure to control money laundering. Hence, the company implemented Ayasdi's solutions that provide anti-fraud solutions to banks. Using Ayasdi's AML solution, HSBC found a reduction of 20% in false positives, without reducing the number of cases reported for suspicious activities.
  • The alignment to anti-fraud standards has led to a drastic increase in anti-fraud efforts by financial companies, many of which have proven to be time consuming and expensive. In addition, with the rise of AI-based fintech solutions, banks now have the opportunity to fight against fraud more effectively, effortlessly, and at a fraction of the cost.

North America Region is Expected to Have Largest Market Share

North America is regarded as the most competitive and rapidly developing AI technology market, in the finance industry. North America, among all the regions, has registered the maximum adoption of AI in Fintech solutions, due to its early implementation in a majority of application areas.

The presence of financial service firms in the region is quite high. From 2011, until the third quarter of 2017, more than 3,330 new technology-based firms serving the financial services industry have been founded, around 40% of which are focused on banking and capital markets, as reported by the Treasury Department. These firms are grappling with unprecedented opportunities and challenges in digital finance, due to changing customer expectations, emerging new technologies, and fluctuating regulations.

  • According to the World Payments Report published by World Bank, this region has one of the highest penetration, in terms of citizens' bank accounts, and has the highest concentration of ATMs per 100,000 people.
  • Furthermore, slackening of federal regulations, enacting national data breach protections and drafting model laws at the state level to reduce overlapping red tape, could help promote fintech companies in the United States, according to the report released by the US Treasury Department, in 2017.
  • Additionally, there is an increased attention from lawmakers, to promote innovation among non-bank providers of new payments and payment-related technologies, and garner more consumer concern about online data security. These factors are expected to contribute toward the growth of the market studied in the region.

Competitive Landscape

AI in Fintech is a consolidated market due to the presence of many dominant players in the market. In terms of market share, few of the major players dominate the market. Various acquisitions and collaboration of large companies are expected to take place shortly which focuses on innovation.

For instance, In September 2017 MIT and IBM joined arms to invest in the artificial intelligence platform of the latter, Watson and unleash & enrich the application of it in diverse industries including fintech. This is likely to boost the company's presence and help the organization to be at par with its counterparts.

Reasons to Purchase this report:

  • The market estimate (ME) sheet in Excel format
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Table of Contents
Product Code: 61424

Table of Contents


  • 1.1 Study Deliverables
  • 1.2 Scope Of The Study
  • 1.3 Study Assumptions




  • 4.1 Market Overview
  • 4.2 Introduction to Market Dynamics
  • 4.3 Market Drivers
    • 4.3.1 Increasing Demand For Process Automation Among Financial Organizations
    • 4.3.2 Increasing Availability Of Data Sources
  • 4.4 Market Restraints
    • 4.4.1 Need For Skilled Workforce
  • 4.5 Industry Attractiveness - Porter's Five Force Analysis
    • 4.5.1 Bargaining Power of Suppliers
    • 4.5.2 Bargaining Power of Buyers/Consumers
    • 4.5.3 Threat of New Entrants
    • 4.5.4 Threat of Substitute Products
    • 4.5.5 Intensity of Competitive Rivalry
  • 4.6 Emerging Use-cases for AI in Financial Technology
  • 4.7 Technology Snapshot


  • 5.1 By Type
    • 5.1.1 Solutions
    • 5.1.2 Services
  • 5.2 By Deployment
    • 5.2.1 Cloud
    • 5.2.2 On-premise
  • 5.3 By Application
    • 5.3.1 Chatbots
    • 5.3.2 Credit Scoring
    • 5.3.3 Quantitative & Asset Management
    • 5.3.4 Fraud Detection
    • 5.3.5 Others (Market Research / Sentiment Analysis, Insurance, Predictive Analytics)
  • 5.4 Geography
    • 5.4.1 North America
    • 5.4.2 Europe
    • 5.4.3 Asia Pacific
    • 5.4.4 Rest Of The World


  • 6.1 Company Profiles
    • 6.1.1 IBM Corporation
    • 6.1.2 Intel Corporation
    • 6.1.3
    • 6.1.4 Amazon Web Services, Inc.
    • 6.1.5 Samsung Group
    • 6.1.6 IPsoft Inc.
    • 6.1.7 Next IT Corporation
    • 6.1.8 Microsoft Corporation
    • 6.1.9 Onfido
    • 6.1.10 Ripple Labs Inc.
    • 6.1.11 Trifacta Software Inc.
    • 6.1.12 Zeitgold GmbH
    • 6.1.13 TIBCO Software
    • 6.1.14 Data Minr Inc.
    • 6.1.15 Sift Science Inc.
    • 6.1.16 Pefin Holdings LLC
    • 6.1.17 Betterment Holdings Inc.
    • 6.1.18 WealthFront Software Inc.
    • 6.1.19 Active.Ai



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