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AI for Fintech. Be the One to Change the Industry

Investors, businesses, and regular users are all motivated to use AI in the fintech industry. Smart software eliminates unnecessary costs, makes managing money more convenient, and helps both companies and individuals earn more. If you are looking to break into this domain, this article will tell you about the market conditions, top competitors, and promising niches, as well as advise you of the potential risks.

AI in Fintech Market Overview

Let’s begin with an overview of the market conditions, and see whether they are favorable for any newcomers.

AI in Fintech Market Share

The global market for AI is massive, surpassing $62 billion in 2020 and predicted to grow by over 40% each year. Financial technology is no exception. In 2021, artificial intelligence in the fintech market was valued at $8 billion and is expected to reach $27 billion by 2026.

Such powerful results come from several sources:

Artificial intelligence saw the most growth in China, the USA, and the UK. Overall, 37% of financial services companies are adopting AI.

All signs are pointing toward the same conclusion: now is the right time to develop a fintech application.

Who Needs AI in Fintech

AI and ML (machine learning) find the most use in the following areas:

  • Security. Banks lose billions of dollars to fraud every year. Fortunately, with AI, companies are better equipped to detect suspicious activity and prevent fraud, rather than be forced to write it off as a loss.
  • Investment. Robo-advisors are managing over $4.6 trillion in assets worldwide. And innovative platforms like Vinovest create alternative investment channels.
  • Productivity. AI-based software that improves data processing or takes over clerical tasks (e.g. invoicing) has a wide range of applications and a proven track record.
  • Customer service. AI- and ML-powered chatbots both help customers and decrease costs for businesses. In fact, by 2023 they are expected to save banks up to $7.3 billion worldwide.

In short, the machines can improve decision-making and user experience, as well as save the adopters money.

Top 5 AI Fintech Startups for 2022

The hottest examples are:

  • Axyon AI. This Italian company offers IRIS, an investment management platform. They count Microsoft, IBM, and Nvidia among their partners and offer their services to hedge funds, commodity traders, and asset managers. Axyon has received €1.6 million ($1.77 million) in funding from venture capitalists and European Union grants.
  • Forwardlane. Forwardlane provides an AI-powered financial analytics system that integrates with a CRM and offers advice on client relations. It includes natural language processing (NLP) algorithms and targets primarily brokers and asset management firms. Forwardlane is partnered with Salesforce, Thomson Reuters, and Microsoft Dynamics. The company has received $8.6 million in venture capital.
  • Token Metrics. This company positions itself as “Bloomberg for crypto” and it shows — Token Metrics even has its own series of financial TV shows. But its main offering is an AI-powered analytics platform for the cryptocurrency market. Token Metrics got $4.5 million in investment from venture funds and equity crowdfunding.
  • AiDA. This Singapore-based company focuses primarily on insurance, helping the underwriters process claims, prevent fraud, and provide better customer service. It has received an undisclosed amount of venture funding from some high-profile investors, including MasterCard.
  • Active.Ai. This company creates advanced chatbots for financial services companies. It counts Visa and TATA Bank among its customers and offers tailored solutions for insurance, B2B/B2C banking, and capital markets. Active.Ai got almost $15 million in venture capital over 6 rounds.

What Fintech Niches Are Still Open for New Players?

The boom in AI-based fintech continues, partially because there is still a place for new players.

  • Digital banking. Traditional financial institutions experience pressure from the upstarts looking to dethrone them. Neobanks tend to offer better interest rates, lower fees, and more transparency regarding the flow of funds.
  • Robo-advisors. This type of software is especially popular among Millennials because of its convenience and accessibility. Now that this generation has money to manage, the demand for AI-driven counsel is rising.
  • RegTech. Keeping up with the regulations and preparing all the necessary paperwork is time-consuming and is prone to human error. This makes automated compliance software well worth the investment.
  • Financial records maintenance. This category of apps helps manage personal finances by tracking spending, bills, bank accounts, and other assets and liabilities.

Perhaps you already have an idea of what you’d like to make? If so, send us a message! We will gladly discuss your idea with you.

Benefits of Artificial Intelligence in Fintech

AI and fintech are a match made in heaven. Here’s why.

Gains for Financial Companies

This is how AI will help fintech companies prosper:

  1. Cost-saving. Artificial intelligence decreases many expenses. Customer service (862 million hours saved), fraud prevention, reallocation of clerical tasks (e.g. almost negating the $12-$20 it costs to process an invoice), and more.
  2. Improved customer experience. Millennials and younger generations are much more tech-savvy. Using it feels natural to them, so digital services aren’t just a convenience but a must. As repeat business is very important, better UX plays a big part in AI-driven fintech becoming as popular as it is.
  3. Better analytics. Well-trained algorithms are just as effective (or better) than human analysts. However, you can look into an AI's inner workings and see exactly how a decision was made, which you can’t do with a person.

Improvement in Users’ Experience

Regular people also feel the positive effects of blending fintech and AI:

  1. Accessibility. Neobanks and robo-advisors are open to a much wider audience. The former charge smaller fees and the latter don’t have a $100K minimum account requirement (like human advisors do).
  2. Convenience. Fintech apps can be accessed anywhere, as long as you have a phone and an Internet connection. Chatbots answer common questions and solve typical problems quickly.
  3. Personal finance management. A decade ago, only the rich could afford a financial advisor. Now bill tracking, investment opportunities, and market analytics can be in the palm of anyone’s hand.

Opportunities for Startups and Entrepreneurs

If you are looking to work on a project that combines fintech and artificial intelligence, here’s what you stand to gain.

  1. Investment opportunities. In 2021, Fintech startups raised $132 billion, a 169% increase from 2020.
  2. Profit opportunities. Financial companies and private citizens alike adopt AI/fintech apps at an impressive rate. This means the market and revenues will keep growing.
  3. Making the world a better place. Given the cost savings for regular people that come from using AI, this is your chance to do well by doing good.

Top 5 Examples and Use Cases of AI in Fintech

This is how artificial intelligence for fintech can be used in practice.

Wealthfront - financial advice for all

Wealthfront is one of the leaders in the robo-advisor niche with 440,000 users and $25 billion in assets under management (AUM). It is both very accessible (the minimum account is just $500) and allows a wide pool of investment options, including cryptocurrencies. It also has very low fees — just 0.25% for most accounts and no charges on transactions.

Wealthfront was acquired by UBS in early 2022, so the company is expected to expand at an even faster rate than before.

Kasisto - digital assistants

Kasisto creates conversational AIs that can understand ambiguous queries and reliably answer users’ questions. It uses advanced natural language processing (NLP) available in tailored packages for business banking, consumer banking, and investment management.

Kasisto has received $66 million in venture capital and netted some high-profile customers, including J.P. Morgan, Emirates NBD, and Westpac.

Adyen - a bit of everything

Adyen is a payment processor, point-of-sale app, card issuer, analytics platform, and (as of May 2021) a digital bank. This Dutch company uses AI in many capabilities: revenue optimization, customer insights, risk management and more. Its customers include McDonald’s, Uber, LinkedIn, and Booking.com. And everything is united in one platform for the customers’ convenience.

Perfios - data analytics

    This Indian company offers a powerful data analytics platform that is mostly used by banks and non-bank financial companies (NBFCs). It helps prevent fraud, make better lending decisions, manage assets, and get reliable credit scores.

    Perfios received over $120 million in funding and its client list includes Deutsche Bank, Canara HSBC, and Home Credit Finance.

    Suplari - spending money wisely

      Suplari helps corporations manage their expenses and find avenues for cost-saving. Its platform replaces an in-house team of analysts and a flood of Excel sheets that would’ve been needed otherwise.

      The platform is used by companies like 21st Century Fox, Nordstrom, and Hulu. In 2021, Suplari was acquired by Microsoft for an undisclosed amount.

      Ready to join the list of AI fintech startups? Financial software development services from EPAM Anywhere are just what you need to get started. Drop us a line!

      Challenges of Using Artificial Intelligence in the Fintech Industry

      There are certain challenges that you will likely meet if you want to learn how AI is used in fintech.

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      5 Biggest Fintech Challenges and Ways to Mitigate Them

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      A lot of sensitive data to process

      Financial information is just as intimate as one’s medical history or personal life. And if you want to scale, you will have to deal with a lot of it, whether in B2B or B2C models. This means you have to keep your algorithms secure by design and pay extra attention to hacker-proofing your processes and databases. Not to mention that analyzing this will require serious optimization efforts to ensure a smooth user experience.

      Compliance

      The finance industry is thoroughly regulated. This means putting extra effort into compliance with local, federal, and, possibly, international law. You will have to ensure close cooperation between your technical and legal teams to minimize future regulatory risks.

      Establishing trust

        People and institutions are wary and won’t give their money to just anyone with a bright idea. You will have to work hard to make customers trust you. Now add the mistrust some people have for AI, and your task becomes even more daunting.

        A larger minimum

        In the financial sector, reputation is everything, and even one high-profile failure can ruin your company’s carefully constructed image. This means that you have to work on edge cases, as well as the most common ones, and ensure that everything works reliably. A fintech MVP is much more advanced than that of most other domains.

        EPAM Anywhere Business Demonstrates Success and Expertise in Using AI for Fintech

        EPAM Anywhere Business is known for the quality of its fintech app development services. Many companies have already made use of our services to great effect.


        First, the value we present came from hard work and domain experience. EPAM Anywhere Business developers have worked on projects for blue chips and SMEs alike, and brought them both impressive ROI, satisfied customers, and even a decreased carbon footprint.


        Second, we facilitate getting everything in one place. EPAM Anywhere Business has access to thousands of developers across all skill levels and specialties. As a result, our company can design, develop, and support any application, and even provides fintech web development services. No need to manage several contractors, when one will suffice.


        The last but not the least benefit is compliance. EPAM Anywhere Business is an international company with experience in many markets and many legal systems. As a result, the team you’ll get will know how to create software that would fit the requirements of national and international laws.

        Conclusion

        Given the increasing demand and skyrocketing investment, 2022 is the right time to enter the fintech market. Yes, keeping up with the legal demands, protecting user data, and establishing a solid reputation takes a lot of work. But with a reliable development partner like EPAM Anywhere Business, conquering this task will be much easier.

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