Global Artificial Intelligence (AI) in BFSI Market Ecosystem by Components; by Offering; by Technology; by Deployment; by Devices; by Application (Predictive Maintenance/Self Diagnostics, Fraud Reduction, Cybersecurity, Network Security, Network Optimization, Others); by Region and Forecast - 2027

Artificial Intelligence (AI) in BFSI Market Size

Global Artificial Intelligence in BFSI Market was valued at approximately USD 6.7 Billion in 2019 and is expected to grow US$ 28.63 Bn with a CAGR of 28.4% by 2027

The Integration of AI in BFSI Market is providing an edge to the early adopters and is strengthening their core competencies. The implementation of Artificial Intelligence will improve banking, insurance, and financial services in the upcoming years, positively impacting fraud mitigation, customer service, credit scores, and investment advisories.

Some of the major advantages of implementing artificial intelligence in BFSI Market are tailored customer experience, fraud detection, automated back-end processes, and better turn-around time.

Some of the early adopters of chatbot and voicebot are Bank of America, Commonwealth Bank of Australia, MasterCard, Capital One, and OCBC Bank Singapore. Chatbot can help answer FAQs and basic information. In addition to these, BFSI Market players are outsourcing these technologies, as in-house development may lead to extra overheads. The Key companies in chatbot and voicebot technology development are Facebook, Amazon, and many other budding startups.

The Bank of America’s Erica, a voicebot, investigates customers’ withdrawal history to measure their spending scenario and inform the status of the account if the balance is low. It also suggests solutions such as sending notification and transferring funds. The Commonwealth Bank of Australia’s Bot executes 200+ banking tasks for customers, such as paying bills, activating cards, sending bank statements, etc. In 2018, the Commonwealth Bank provided service to 6.2 million NetBank and CommBank app users.

MasterCard implemented FB Messenger’s chatbot to provide account balance, purchase history, and spending habits of customers. CapitalOne uses voicebot ENO’s skill to Amazon’s Alexa, allowing customers to use the service on their Alexa app and interact with it regarding their credit card bills, account balance, etc. ENO is also accessible over smartphone-based chat.

Risk and compliance monitoring companies are using AI frameworks for audio and video recordings of interactions between clients and bankers and are trying to identify banking terms that are usually monitored by auditors. For instance, Danske Bank has implemented an AI Framework which improved its fraud detection rate by 60%. In addition, Paypal has developed a fraud detection engine using Open-Source tools, which works on data mining, machine learning, and human intelligence, and the outcomes helped detect frauds.

The key and positive trends of the segment include:

  • BFSI industry is leveraging advanced AI-based data analytics in order to combat fraudulent transactions and to improve compliance.
  • An increasing partnership between financial institutes and fintech companies.

The report incorporates the study of the AI in BFSI that focuses on the Components, Offering, Application, Technology, Deployment and Devices operated in the business. Major players supply-side operating in the space of artificial intelligence in BFSI include Amazon Web Services (AWS), Inc., Avaamo, Inc., Baidu, Inc., Cape Analytics, LLC., CognitiveScale, Inc., Comply Advantage, Descartes Labs, Inc., Digital Reasoning, Inc., Google LLC, Inbenta Technologies, Inc. Intel Corporation, Interaction LLC, Ipsoft, Inc., Lexalytics, Inc., Microsoft Corporation, NEXT IT, Oracle Corporation, Palantir Technologies, Inc.,, Inc., SAP SE, and ZestFinance, Inc.

Report Scope:

A study is an effective tool for addressing Research insights relevant for business strategies like:

  • New product launch
  • New client acquisition
  • New opportunity mapping (market level and geography level)
  • Competitive benchmarking
  • Cost optimization strategies
  • Inorganic expansion plans

The market segments are identified and analyzed keeping in mind the Artificial Intelligence in BFSI market are given below:

By Components

  • Micro Processors
  • Memory
  • Storage
  • FPGA
  • GPU
  • Camera
  • Sensors
  • Connectivity IC
  • Others

By Offering

  • Solution
  • Services

By Application

  • Predictive Maintenance/
  • Self-Diagnostics
  • Fraud Reduction
  • Cyber security
  • Network Security
  • Network Optimization
  • Virtual Assistance
  • Network Operations & Monitoring
  • Management
  • Security & Surveillance
  • Predictive Merchandising
  • Others

By Technology

  • Machine Learning
  • Deep Learning
  • NLP
  • Context Awareness
  • Predictive Analytics
  • Others

By Deployment

  • Cloud
  • On-Premise

By Devices

  • Workstation Systems
  • Smartphone
  • Others

Regional Overview 

Globally, artificial intelligence in BFSI Market is growing rapidly with the advent of technology and the availability of the infrastructure. Currently, North America holds the largest share in the artificial intelligence market and is expected to dominate the global market in the coming years. Within North America, U.S. held the largest share in the market, primarily due to the increasing number of investments in the fintech sector and rising implementation of AI-based solutions by major U.S. based banks including Bank of America Corporation, Wells Fargo & Company, JPMorgan Chase & Company, and U.S. Bancorp, among others. Companies are focusing on automation and optimal utilization of resources, as well as working on a customer-centric approach to improve banking offerings. However, APAC is anticipated to be the fastest-growing region and is expected to lead the market over the forecast period. This is attributed to the shift toward digitization by the financial sector, and the demand for personalized customer service in the region.

The major players operating in the global AI in BFSI Market are as follows:


Market Positioning

Total Revenue




Service Provider

$14.95 Billion

Information Technology



Service Provider    

$79.60 Billion

Information Technology



Service Provider    

$15.45 Billion

Financial Services


JP Morgan Chase

Service Provider

$109.03 Billion

Financial Services


Bank of America

Service Provider    

$28.15 Billion

Financial Services


Very few markets have the interconnectivity with other markets like AI. Our Interconnectivity module focuses on the key nodes of heterogeneous markets in detail. Data analytics, Cloud Computing, and Blockchain markets are some of our key researched markets.

Artificial Intelligence Major Interconnectivities Ecosystem

AI in BFSI Ecosystem

COVID-19 Impact on the Global Artificial Intelligence in BFSI Market

The COVID-19 pandemic is expected to moderately impact the global artificial intelligence in BFSI market for a short-term period. The level of investment with regards to AI in BFSI has reduced due to the lockdown in almost every region, as it requires major capital investments. COVID-19 is expected to impact this market by the year-end 2020.

A Glance on the Global AI in BFSI Market Trends:

  • Early personal financial management apps assessed the user’s financial situation but offered no actionable insights or recommendations. Firms are now using AI to offer personalized advice about refinancing, and debt management, among others.
  • Banks and banking systems have worked in a closed ecosystem with strict regulations and controls, proprietary frameworks, apps, and channels. Sharing of any data with customers or even externally has been marginal to non-existent. For instance, Open Banking has given rise to a new shared environment where banks are proactively collaborating with other third-party players, allowing access via APIs which can be integrated with their systems.
  • Text-based virtual assistants can learn through consumer behavior over time, adapting itself to every user need individually. motion such as account balance, credit limit, transaction history and bill payments can be easily done through such assistants. Further, these assistants can also understand emojis as well.

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Ecosystem Report – Table of Content

  1. Introduction
    1. Global Artificial Intelligence in BFSI Market Definition
    2. Scope of study 
    3. Research Methodology
    4. Assumptions/ Inferences
    5. Sources
      1. Primary Interviews
      2. Secondary Sources
        1. Key Secondary Webpages
        2. Whitepapers
        3. Annual Reports
        4. Investor/Analyst Presentations
    6. About FABRIC
  2. Executive Summary

Ecosystem Positioning

  1. Global Artificial Intelligence in BFSI Market Ecosystem Snapshot
    1. Global Artificial Intelligence in BFSI Market Segmentation
      1. By Components
        1. Processors
        2. Memory
        3. Storage
        4. FPGA
        5. ASIC
        6. Modules
      2.  By Product, Parts & Devices
        1. Workstation Systems
        2. Smart Phone
        3. Others
      3. By Services & Solutions
        1. Solutions
        2. Services
      4. By Technology
        1. Machine Learning
        2. Deep Learning
        3. NLP
        4. Context Awareness
        5. Predictive Analytics
        6. Others
      5. By Application
        1. Predictive Maintenance/Self Diagnostics
        2. Fraud Reduction
        3. Cybersecurity
        4. Network Security
        5. Network Optimization
        6. Virtual Assistance
        7. Network Operations & Monitoring Management
        8. Security & Surveillance
        9. Predictive Merchandising
        10. Others
    2. Global Artificial Intelligence in BFSI Market Ecosystem Broad Heads
  2. Competitive Landscape Mapping by Ecosystem Positioning
    1. Company by each node
    2. Vendor Landscaping
  3. Ecosystem Level Analysis

Trend Analysis

  1. Global Artificial Intelligence in BFSI Market Trends
    1. Short Term
      1. Trend Description
      2. Trend Evaluation
      3. Trend Outlook
      4. Trend Company Mapping
      5. Related Global Artificial Intelligence in BFSI Market Mapping
      6. Trend Region/Country Mapping
    2. Mid Term
      1. Trend Description
      2. Trend Evaluation
      3. Trend Outlook
      4. Trend Company Mapping
      5. Related Global Artificial Intelligence in BFSI Market Mapping
      6. Trend Region/Country Mapping
    3. Long Term
      1. Trend Description
      2. Trend Evaluation
      3. Trend Outlook
      4. Trend Company Mapping
      5. Related Global Artificial Intelligence in BFSI Market Mapping
      6. Trend Region/Country Mapping

Global Artificial Intelligence in BFSI Market Analysis

    1. Regulatory Analysis

Global Artificial Intelligence in BFSI Market Developments

    1. Global Artificial Intelligence in BFSI Market Events & Rationale
      1. R&D, Technology and Innovation
      2. Business & Corporate advancements
      3. M&A, JVs/Partnerships
      4. Political, Macro-economic, Regulatory
      5. Awards & Recognition
      6. Others

Global Artificial Intelligence in BFSI Market Sizing, Volume and ASP Analysis & Forecast

  1. Global Artificial Intelligence in BFSI Market Sizing & Volume
    1. Cross-segmentation
    2. Global Artificial Intelligence in BFSI Market Sizing and Global Artificial Intelligence in BFSI Market Forecast
    3. Global Artificial Intelligence in BFSI Market Volume Analysis
    4. Average Selling Price Analysis
    5. Global Artificial Intelligence in BFSI Market Growth Analysis

Competitive Intelligence

  1. Competitive Intelligence
    1. Top Industry Players vs Trend Tagging
        1. Importance
        2. Trend Nature (Positive/ Negative)
        3. Value
        4. Interconnectivity for each vendor
    2. Global Artificial Intelligence in BFSI Market Share Analysis
        1. By Each Node
    3. Strategies Adopted by Global Artificial Intelligence in BFSI Market participants
        1. Global Artificial Intelligence in BFSI Market Strategies
        2. New product launch Strategies
        3. Geographic Expansion Strategies
        4. Product-line Expansion Strategies
        5. Operational / Efficiency building Strategies
        6. Other Strategies

Company Profiles

  1. Company Profiles - including the:
    1. Microsoft
      1. Company Fundamentals
      2. Subsidiaries list
      3. Share Holding Pattern
      4. Key Employees and Board of Directors
      5. Financial Analysis
        1. Financial Summary
        2. Ratio Analysis
        3. Valuation Metrics
      6. Product & Services
      7. Client & Strategies
      8. Ecosystem Presence
      9. SWOT
      10. Trends Mapping
      11. Analyst Views
    2. PayPal
    3. IBM
    4. Bank Of America
    5. Facebook
    6. Amazon
    7. Google
    8. MasterCard
    9. JP Morgan Chase
    10. Citi Group
    11. Danske Bank
    12. Capital One
    13. Commonwealth Bank of Australia
    14. OCBC Bank Singapore
    15. PNC
    16. Zestfinance
    17. Scienaptic systems
    18. Underwrite.AI
    19. Kensho
    20. Ayasdi


  1. Ask for Customization
    1. Sensitivity Analysis
    2. TAM SAM SOM Analysis
    3. Other Customization
  2. Appendix
    1. Sources
    2. Assumptions
    3. Contact

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