The AI in Fintech solutions market in this report is defined as the summation of AI enabled Fintech solution and services. AI in Fintech refers to the theory and development of computer systems capable of performing finance related tasks which usually require human intelligence. It is an application of AI technology enable with the financial sector in various forms such as designing investment strategies, anomaly detection with pattern recognition, voice recognition, text mining, semantic analysis, and market analysis with data mining.

The AI in Fintech market was valued at USD 1,337.7 million in 2017 and is projected to reach USD 7,305.6 million by 2022, at a Compound Annual Growth Rate (CAGR) of 40.4% from 2017 to 2022. Increasing use of data by enterprises, growing business collaborations among them and their improving financial operations are major factors driving the growth of the AI in Fintech Solutions market across the globe.

 

VISIONARY LEADERS

Vendors who fall into this category receive high scores for most of the evaluation criteria. They have a strong and established product portfolio and a very strong market presence. They provide mature and reputable AI in Fintech solutions. They also have strong business strategies. Intel Movidius Neural Compute Stick, Amazon AWS Alexa, Salesforce Einstein, Google Cloud Platform, Microsoft Cortana Intelligence Suite, and IBM Watson Platform fall into this category.

INNOVATORS

Innovators in the MicroQuadrant are vendors who have demonstrated substantial product innovations as compared to their competitors. They have a much-focused product portfolio. However, they do not have a very strong growth strategy for their overall business. IPsoft Amelia, ComplyAdvantage, Inbenta InbentaBot, Nuance Virtual Assistance, Digital Reasoning Conduct Surveillance fall into this category.

DYNAMIC Differentiators

They are established vendors in AI in Fintech Solutions with very strong business strategies. However, they are low in their product portfolios. They focus on a specific type of technology related to the product. Samsung Bixby and Microstrategy HyperIntelligence fall into this category.

EMERGING COMPANIES

They are vendors with niche product offerings and starting to gain their positions in the market. They do not have strong business strategies as compared to the other established vendors. They might be new entrants in the AI in Fintech Solutions market and require some more time before getting significant traction. ZestFinance ZAML, Razorthink Big Brain, Numenta HTM for Stocks suite, Anodot AI Analytics, Brighterion Smart Agents, Kasisto Kai Banking, Next IT Alme, DataRobot, Ayasdi Enterprise AI, Voyager Analytics, AlphaSense and Wallet. AI fall into this category.

Market Overview

The software tools solution segment is projected to lead the market during the forecast period. The growth of this segment can be attributed to the increasing use of software tools to deploy AI-enabled solutions in the finance sector for the extraction of large volumes of accurate and complete data.

Among services, the managed services segment of the market is projected to grow at the highest CAGR during the forecast period. This segment is also expected to lead the market from 2017 to 2022. The growth of the managed services segment can be attributed to the increased demand for these services across the globe as they sort the complexity involved in maintaining and supporting organizational infrastructure management, thereby enabling organizations to use AI solutions to their full potential.

Based on deployment mode, the cloud segment is projected to lead the AI in Fintech Solutions market during the forecast period. The growth of this segment can be attributed to the increased deployment of cloud-based solutions by enterprises due to their high agility.

The business analytics & reporting application segment is projected to lead the AI in Fintech market between 2017 and 2022. Rising adoption of business analytics & reporting solutions by enterprises for regulatory and compliance management as well as customer behavior analysis is fueling the growth of this segment of the market. The customer behavioral analytics segment is projected to grow at the highest CAGR during the forecast period.

Based on region, the AI in Fintech Solutions market has been segmented into North America, Europe, Asia Pacific (APAC), the Middle East & Africa (MEA), and Latin America. The North American region is projected to lead the market from 2017 to 2022. The growth of the North American AI in Fintech market can be attributed to increasing investments in countries such as the US and Canada for R&D activities to develop new and innovative technologies. The Asia Pacific market is projected to grow at the highest CAGR during the forecast period due to technological advancements and continuous expansion of domestic enterprises in the region.

Rising competition in the finance sector and the increasing need for improved financial operations, cost reductions, and enhanced customer engagement are expected to hinder the growth of the AI in Fintech Solutions market during the forecast period.

TOP VENDORS
In AI in Fintech Solutions

  1. MICROSOFT Cortana Intelligence Suite
    0 Reviews
    4.2
  2. IBM Watson Platform
    2 Reviews
    4.2
  3. AMAZON AWS Alexa
    0 Reviews
    4.1

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  • Asia-Pacific
  • Europe
  • Latin America
  • Middle East and Africa
  • North America

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KEY BUYING CRITERIA

Product Maturity
Strategic Maturity
Use Case Maturity
Most IMPORTANT
4.3
4.3
4.0
Product Features and Functionality
4.50
4.50
4.00
Breadth and Depth of Product Offering
4.20
4.20
4.05
Product Quality and Reliability
4.05
4.05
3.75
Focus on Product Innovation
4.55
4.55
4.45
Product Differentiation and Impact on Customer Value
3.95
3.95
3.75
LEAST IMPORTANT LESS IMPORTANT

TOP VENDORS

  • Microsoft offers AI services through its Cortana Intelligence Suite that comprises information management, big data stores, machine learning and advanced analytics, and intelligence capabilities. Microsoft’s information management offering helps in the arrangement of data on a managed platform.

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    4.2
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  • IBM Watson Financial Services helps enterprises identify customer behavior and provide highly personalized offerings and experiences, as well as understand regulatory requirements and enhance productivity to meet the compliance requirements.

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  • The company specializes in offering speech-to-text, text-to-speech, and image recognition capabilities. It also offers a toolkit to help developers create financial applications on the Amazon Web services platform.

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  • Google Cloud Platform is able to recognize the trends in large datasets from diverse sources and archive large amounts of sensitive data.

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  • Intel offers hardware as well as software solutions in the AI in Fintech market. Intel’s Movidius Neural Compute Stick, Intel Xeon Scalable Processor, and Xeon Phi Processor support high-performance computing applications in BFSI sector. Intel also offers software tools to build financial applications.

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    3.8
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  • The company offers its Einstein platform for financial industry applications. It also offers a CRM platform for financial advisors that helps them get a client's financial account information as well as family wealth ecosystem.

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    3.7
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  • Inbenta offers various AI-enabled solutions to the BFSI sector that include eCommerce search, InbetaBot, support ticketing, and enterprise search. These solutions also leverage AI capabilities such as NLP, sentiment analysis, and instant answers to better understand customer behavior and provide more personalized services.

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    2.7
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  • Samsung offers its virtual assistant, Bixby, and mobile payment services in the AI in Fintech market. Bixby allows using text, touch, or voice methods to convey what customers want, and it also uses cameras to understand on-screen content to deliver a bunch of information related to the topic.

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    2.6
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  • Nuance offers a virtual assistant, Nina, who is able to understand what customers are looking for, in order to better serve them. Nuance also offers a live chat solution that helps customers by routing them to the proper agents in order to meet their needs.

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  • Ability to extract vital insights and patterns in huge volumes of human communication data.

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    2.5
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  • Ipsoft offers Amelia, a virtual agent, deployed by financial institutions in their IT service desk to increase the efficiency of operations. The company also provides IPCENTER, an autonomic IT management platform, that helps increase the volume of IT operations, along with improved response, fewer error rates, and zero downtime.

    BUYER
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    2.4
    MNM ANALYSTS
     
  • A pioneer in the BI and analytics space, MicroStrategy delivers innovative software that empowers people to make better decisions and transform the way they do business.

    BUYER
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    2.4
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  • The company offers big data analytics and AI-based solutions that help financial firms in intelligent decision-making when dealing with regulations related to bribery and corruption, terrorist financing, sanctions, and money laundering.

    BUYER
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    2.4
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  • Next IT's AI-based conversational technologies help financial institutes drive revenue, streamline processes, and improve customer engagement by offering intelligent interfaces.

    BUYER
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    1.8
    MNM ANALYSTS
     
  • KAI is an industry-agnostic Conversational AI platform that lets companies create virtual assistants and bots that deliver personalized, delightful, and intelligent experiences across multiple channels.

    BUYER
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    1.7
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  • Best environment in which to build truly intelligent applications.

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    1.6
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  • Brighterion provides a comprehensive portfolio of AI and ML technologies that can enhance data to enable real-time decisions.

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    1.5
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  • Voyager Labs employs an array of unstructured data analysis tools, AI algorithms, and models, including Natural Language Understanding, Image Recognition, Human Behavior Pattern Analysis and two-way translation in multiple languages.

    BUYER
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    1.5
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  • DataRobot offers an automated ML platform for data scientists of all skill levels to build and deploy accurate machine learning models in a fraction of time.

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    1.5
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  • Big brain is the first Deep Learning Data Science Platform that automates the data preparation, modeling, evaluation, and deployment of deep learning solutions at scale.

    BUYER
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    1.4
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  • Dramatically reducing your time to insight.

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    1.3
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  • Wallet.ai keeps track of seemingly unimportant data—like where you eat, how you get around, and even your favorite shopping locations—and uses the data collected to offer suggestions on how you can save money.

    BUYER
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    1.3
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  • Ensure trust, reliable performance, and constant availability.

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    1.3
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  • Numenta has developed core technology in machine intelligence based on the theory of a neocortex. Its first product based on this technology is a cloud-based prediction engine for streaming data.

    BUYER
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    1.2
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  • ZAML is a machine learning credit and risk modeling solution with end-to-end explainability. It is fast and powerful, and offers unique transparency w.r.t fees and processes.

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    1.1
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  • This service helps companies track the lifecycle to prioritize risks for banks and buyside firms. It can be used to control, analyze, and scale businesses across operations and technologies.

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  • AIDA Technologies offers solutions based on AI and predictive analytics for financial services. These include solutions for customization and maintenance along with compliance and risk analytics. This helps organizations act preventively rather solving problems after they occur.

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  • Aeira is a deep learning platform designed for institutional investors for the formulation of active investment strategies.

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  • This product is used by banks, broker-dealers, hedge fund companies, and asset management firms, among others. It is a software with a special Quantum Computing Readiness Path for these types of organizations.

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Questions & Answers

1. AI in Fintech Solutions is a vast market and is connected to many others. How do I track down its dependencies and effects on other markets?

2. How do I find out the best emerging usecases in AI in Fintech market that can be advantageous for my industry?

3. Different parameters are considered while analysing the companies in AI in Fintech solutions market. What is the criteria to find out the ones that are most important?

4. Which are the top use cases for AI in fintech solution and service providers for revenue generation ?

5. What are the threats and opportunities in migration from traditional legacy financial solutions to AI powered financial solutions?

TOP REVIEWS

 
Other,Company Name Classified
Other, Company Name Classified
#4 in AI in Fintech Solutions

“Overall a complicated solution"

(*)(*)(*)( )( )3
We used the Google cloud for our SaaS offering for the fintech market. Implementation was relatively quick, however migration from AWS was a very complex affair, which we completed in stages. After deployment on the GCP, our data scientists tried the Google Cloud AI solutions. The primary challenges are in importing data and in collaboration between various user groups. We currently have an in-house stack for testing AI that can consume data from the Google Cloud Platform, and the team continues to use that.
Business Analyst,Company Name Classified
Business Analyst, Company Name Classified
#6 in AI in Fintech Solutions

“Efficient in organizing"

(*)(*)(*)(*)( )4
For someone like me, constantly looking to sort, categorize, and arrange items, Saleforce Einstein was a godsend. It is perfect for organizing tasks, teams, recipient lists, contact details, and so on. It makes life much easier. You can do all this and also communicate effectively with your team members. The only slight problem is that it can be a little confusing. And you may get messages stating errors and asking you for administrator access at times.
Vice President,Company Name Classified
Vice President, Company Name Classified
#6 in AI in Fintech Solutions

“Perfect partner for business development"

(*)(*)(*)(*)(*)5
I was looking for a product that would help process large amounts of data and is easy to use. This is exactly what I got with Einstein Analytics. It is exceptionally easy to use and is pleasant to look at as well. It is accessible from anywhere at any time, which is not something that can be said for a lot of other products. One major drawback, though is that it is steeply priced, especially for small businesses. Also, sometimes updates and the terminology can be challenging to understand. Apart from that, it is a great product for everyone.
Global Head - Service and Product Development,Company Name Classified
Global Head - Service and Product Development, Company Name Classified
#2 in AI in Fintech Solutions

“IBM Watson Financial Services: Perfect for institutions struggling to comply with regulations"

(*)(*)(*)(*)(*)5
With the increasing number of regulations in the financial sector, the complexity of handling them has also increased. Banks and financial institutions, are struggling to not only keep up with the dynamic regulations but also to comply with them 100%. This is making them spend unnecessarily high amounts of money to tackle this issue. In such a scenario, it is IBM Watson Financial Services that comes to the rescue. This platform uses AI as well as ML to identify and present incidences spanning across financial crimes and risks and GRC (governance, risk, and compliance). It helps banks that have limited clarity on what to expect and what obligations to fulfil when it comes to important regulations pertaining to KYC, AML, and the like. IBM’s regtech developments help tackle this issue and assists these institutions in making sound decisions, in a cost-efficient manner. With the increasing volumes of data that is being processed through these organizations, it is highly likely that they are going to need AI to handle as many issues as it can, so that their executives have time to carry out more important tasks.
Other,Company Name Classified
Other, Company Name Classified
#11 in AI in Fintech Solutions

“Offers best customization"

(*)(*)(*)( )( )3
We tested IPSOFT Amelia and were impressed by the range and quality of its responses. The range of customization possible is tremendous, which leads to a very pertinent response in every customer engagement. It seems to be able to gauge sentiment and emotions in the discussion, which is also a big plus for such a technology. We tried it on various customer segments and overall response has been very positive.
Other,Company Name Classified
Other, Company Name Classified
#2 in AI in Fintech Solutions

“A great AI platform to use in your business"

(*)(*)(*)(*)(*)5
A great cognitive tool to help you keep up, deal with, and comply with the ever-changing regulations in the financial sector. As a cognitive AI tool, it will guide you about important determiners such as customer behavior, patterns in their behavior, risk analysis, and help you manage your risks wrt regulatory compliance. This plays a major role in meeting our customer requirements, and providing them more personalized campaigns, without compromising on compliance.
Global Head - Service and Product Development,Company Name Classified
Global Head - Service and Product Development, Company Name Classified
#9 in AI in Fintech Solutions

“Nuance virtual assistant Sam to the rescue!"

(*)(*)(*)(*)(*)5
NINA is one of the friendliest chatbots available out there. It helps my customers solve many different queries related to taxes, grants, duties, and royalties. It’s natural language understanding is great for forming appropriate, human-like responses to customer queries. As it runs round the clock, my customers can have their questions answered anytime. Their feature of data analysis makes it particularly useful, as the responses seem to emulate human responses.
Other,Company Name Classified
Other, Company Name Classified
#9 in AI in Fintech Solutions

“Nina is helpful to render a more personalized experience for customers"

(*)(*)(*)(*)( )4
Nina as a virtual assistant has helped us to better handle our customers’ queries. What first took its customer care executives a long time to find and present, Nina can do in a matter of seconds. Since more than half of our customers prefer online transactions, Nina is perfect since she solves queries regarding basic information quickly. This makes more time available to customer care personnel to handle more complex issues which AI cannot handle today.