Fintech: A High Velocity Micro Report

Analysis as of 2022-08-04 auto-generated using "Code+AI"


Consumer View

We first analyze the consumer view to determine the momentum and awareness amongst people in social media. These days consumers look for everything on the internet and this data trail is a great source of insights. We analyze the chatter on social media, analyze search trends of the consumers & find specific pattern of internet lookups. This analysis serves as a lead indicator for the topic to understand the conversations and feedback better.


Consumer Interest Analysis

We analyze 5 years of search data from 2017-08-06 to 2022-07-31. The analysis was done for global region.



  • It has trended with a Positive cagr of 10.86%

  • Singapore, Hong Kong, Bahrain, Mauritius, St. Helena are the main regions that have shown interest

  • It has shown 6 peaks as seen in image below


  • With a peak appearing every 2.33 months

  • Queries like pb fintech, pb fintech share, pb fintech share price, paytm share price are top related searches in last 12 months

  • Their changes over the last 12 months can be seen in image below


Use Case Analysis

  • Consumers look for fintech usage in multiple areas which can be seen below

  • The image shows a word tree that visualizes the lookups as performed by consumers


  • finance, dummies, beginners, risk, dummies pdf are the top areas that consumers lookup fintech for.

  • Note: Consumers may not type entire keywords and hence you would see some repetitions


  • Consumers look for fintech usage in multiple areas along with certain aspects which can be seen below

  • The image shows a word tree that visualizes the lookups as performed by consumers. n & n year old suggest queries like product for 5 year old and so on


  • business, business analytics, ai, bank, bank charter are the top areas that consumers lookup fintech with.

  • Note: Consumers may not type entire keywords and hence you would see some repetitions


Market View


Having a sense of what consumers are looking for next we shift to the players and consumer engagement with them. Apps have become integral to customer experience and most companies interact with their customers through apps to enhance customer experience. So, when understanding consumer engagement with a product, analysing the app landscape is an important aspect to gauge the communication effectiveness between a brand and its customers. It also gives indications of features required and issues to be fixed.


Analysis of apps

  • 48 apps are analyzed across 10 categories.

  • Top 20 categories are shown below.

  • Finance, Business, Education, News & Magazines, Events are the top 5 categories seeing app development.

  • The top trends in App categories are seen below. This gives an indication of where fintech is seeing market traction.

  • Finance, Business, Education, Events, News & Magazines are the top 5 categories


  • Top 20 categories basis installs are shown below including new niche areas.

  • Finance, Business, Productivity, Social, Video Players & Editors are the top 5 categories seeing app installations.


  • Consumers leave feedback on the app regarding their experience, usage & issues. We identify the different aspects and consumer sentiment around it.

  • Top 25 aspects and their sentiment are shown below.

  • Note: Every aspect would have both positive & negative sentiment which is shown in the chart. Green implies positive & red negative. Width of box signifies number of comments.


  • long time, customer service, phone number, close account, chat support are the top 5 negative categories.

  • user experience, easy way, money management, online banking, banking app are the top 5 positive categories.


Research View


Now that we’ve understood the market and consumer view let us switch gears to understand technology advancements. Research agenda is key to understanding the upcoming technologies that are being researched that will have a major influence in this space. We do this by analysing research papers to understand emerging technologies.


Analysis of research papers

  • We analyze 47 research papers

  • Let us take 3 views of what areas are being researched. 1) basis words in the abstract 2) basis topic classification of the papers 3) discipline classification

  • The top trends basis words are seen below

  • fraud detection, artificial intelligence, machine learning, p2p financial, reinforcement learning are the top 5 areas

  • The top trends basis topics are seen below

  • Information_technology_management, Fields_of_application_of_statistics, Business_terms, Evaluation_methods, Marketing are the top 5 areas


  • Research progresses across multiple disciplines. The top discipline trends are seen below that provides insights on how the topic is evolving.

  • The top 15 disciplines are:

  • discipline_1: Computers and Society

  • discipline_2: General Finance

  • discipline_3: Risk Management

  • discipline_4: Analysis of PDEs

  • discipline_5: Optimization and Control:Computer Science and Game Theory:Machine Learning:Mathematical Finance

  • discipline_6: Machine Learning:Artificial Intelligence:Databases

  • discipline_7: Machine Learning:Artificial Intelligence:Machine Learning

  • discipline_8: Machine Learning:Computational Engineering, Finance, and Science:Information Retrieval:Social and Information Networks

  • discipline_9: Machine Learning:Cryptography and Security:Machine Learning

  • discipline_10: Machine Learning:Digital Libraries:Social and Information Networks

  • discipline_11: Machine Learning:Information Retrieval:Machine Learning

  • discipline_12: Optimization and Control:Computer Science and Game Theory:Information Theory:Information Theory:Probability:Machine Learning

  • discipline_13: Other Computer Science

  • discipline_14: Machine Learning

  • discipline_15: Other Computer Science:Machine Learning



  • What are the top cited papers? Next let us analyze papers bases on citations.

  • Citation of a paper is a key measure of importance of a technology/ concept articluated in a paper. Here we list the titles of top cited papers & show a timeline of the top cited papers.

  • Cited count: 893 Title: The Global Findex Database 2017: Measuring Financial Inclusion and the Fintech Revolution

  • Cited count: 577 Title: Fintech, Regulatory Arbitrage, and the Rise of Shadow Banks

  • Cited count: 528 Title: The Evolution of Fintech: A New Post-Crisis Paradigm?

  • Cited count: 452 Title: Fintech: Ecosystem, business models, investment decisions, and challenges

  • Cited count: 426 Title: On the Fintech Revolution: Interpreting the Forces of Innovation, Disruption, and Transformation in Financial Services


  • What are the emerging cited papers? Next let us analyze cited papers bases on recency.

  • Here we list the titles of top cited papers in last 12 months & show a timeline of the top cited papers adjusted for age.

  • The chart to the right is the same as previous slide but citations are time adjusted. A growth line indicates an area with increasing research interest

  • Cited count: 179 Title: Fintech

  • Cited count: 62 Title: Understanding fintech continuance: perspectives from self-efficacy and ECT-IS theories

  • Cited count: 61 Title: Fintech investments in European banks: a hybrid IT2 fuzzy multidimensional decision-making approach

  • Cited count: 60 Title: Unearthing antecedents to financial inclusion through FinTech innovations

  • Cited count: 56 Title: The Promise of Fintech : Financial Inclusion in the Post COVID-19 Era


  • We then look at application areas of the technology/ use cases. We do this by seeing what it is applied FOR

  • Consumers look for fintech usage in multiple areas which can be seen below

  • The image shows a word tree that visualizes the use cases as being researched. The applications are typically found to the right of word "FOR"

  • These use cases are based on most cited papers in history (see papers over years chart to discover timeline)

  • Note: We donot show entire sentences but you can use the string of keywords to perform a search and find the paper


  • We then look at recent application areas of the technology/ use cases. We do this by seeing what it is applied FOR recently

  • Consumers look for fintech usage in multiple areas which can be seen below

  • The image shows a word tree that visualizes the use cases as being researched. The applications are typically found to the right of word "FOR"

  • These use cases are based on most cited papers in the years 2022, 2021

  • Note: We donot show entire sentences but you can use the string of keywords to perform a search and find the paper


Analysis of developer questions


As part of R&D developers build and in the process as questions in developer forums. Let us understand trends from this source.

  • Developer question filing trends

  • A total of 100 questions were analyzed.

  • python, android, html, pandas, javascript are the top 5 areas


Technology View

Now that we’ve understood the market, consumer & future research view let us switch gears to understand companies that are investing & leveraging these technology advancements. Patent analysis is key to understanding technologies that are being utilized in this space. This also gives us an insight into organizations that will play a key role going forward.


Analysis of patents

  • A total of 542 patents were analyzed.

  • Patent filing trends


  • Applicants filing patent trends


  • Top inventor organizations are shown below.


  • A vibrant area is one where new entrants are filing patents. Here are companies that have filed in last 5 years sorted by citation count.


  • Let us take 3 views of what areas are being patented. 1) basis words in the abstract 2) basis topic classification of the patents 3) CPC classification

  • The top trends basis words are seen below

  • financial technology, technical field, storage medium, computer storage, block chain are the top 5 areas




  • The top trends basis topics are seen below

  • Data_management, Data_warehousing, Transaction_processing, _transform, _load_tools are the top 5 areas


  • The top discipline trends are seen below

  • The top 10 disciplines are:

  • cpc_1: Banking, e.g. interest calculation, credit approval, mortgages, home banking or on-line banking

  • cpc_2: Investment, e.g. financial instruments, portfolio management or fund management

  • cpc_3: Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor

  • cpc_4: Exchange, e.g. stocks, commodities, derivatives or currency exchange

  • cpc_5: Credit processing or loan processing, e.g. risk analysis for mortgages

  • cpc_6: Test management for test design, e.g. generating new test cases

  • cpc_7: Authentication

  • cpc_8: Transaction verification involving fraud or risk level assessment in transaction processing

  • cpc_9: Score-carding, benchmarking or key performance indicator [KPI] analysis

  • cpc_10: Estate planning


  • Emerging discipline trends are seen below

  • The top 10 emerging disciplines are:

  • cpc_1: Banking, e.g. interest calculation, credit approval, mortgages, home banking or on-line banking

  • cpc_2: Investment, e.g. financial instruments, portfolio management or fund management

  • cpc_3: Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor

  • cpc_4: Exchange, e.g. stocks, commodities, derivatives or currency exchange

  • cpc_5: Credit processing or loan processing, e.g. risk analysis for mortgages

  • cpc_6: Test management for test design, e.g. generating new test cases

  • cpc_7: Authentication

  • cpc_8: Transaction verification involving fraud or risk level assessment in transaction processing

  • cpc_9: Score-carding, benchmarking or key performance indicator [KPI] analysis

  • cpc_10: Estate planning


This report was auto generated by Code+AI algorithms driven machine on 2022-08-04


28 views0 comments

Recent Posts

See All