The global Artificial Intelligence in BFSI market size is expected to reach USD 68.23 Billion at a steady CAGR of 36.5% in 2028, according to latest analysis by Emergen Research. Artificial Intelligence (AI) helps in predicting future trends based on analysis of past behavior of customers, and also helps banks to detect patterns in laundering, identify fraud, and make customer recommendations. These advantages are resulting in increasing deployment of AI in banking operations, which is driving revenue growth of the global Artificial Intelligence in BFSI market.

To summarize, the report offers an extensive outlook of the global Artificial Intelligence in BFSI market backed by valid key statistical facts and figures collected from verified and authentic sources. The report on the Artificial Intelligence in BFSI market offers a thorough investigation of the market segmentation based on types and applications. Furthermore, the report also offers an extensive assessment of the market size, share, and volume to offer the forecast estimation for the same till the year 2027 in the leading geographies of the world where the market has already established its presence. It also sheds light on the various growth prospects and threats the leading players might have to face in the global Artificial Intelligence in BFSI market. Moreover, it also offers strategic recommendations to novice players to help them manage entry-level barriers.

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Some Key Highlights in the Report

  • In February 2021, FinMkt, which is a loan origination and point of sale financing SaaS provider, announced its partnership with Persistent, which is a global solutions company that delivers enterprise modernization, next-generation product engineering, and digital business acceleration. The partnership will allow small and mid-sized financial institutions to accelerate the digital lending strategies. FinMkt will ramp up its Artificial Intelligence and machine learning capabilities to provide financial institutions with significant insights to shape their credit policies.
  • Fraud detection & prevention units in BFSI companies are using Artificial Intelligence to eliminate such activities. Big data is characterized by volume & value and by capturing and processing this in real-time, and Natural Language Processing (NLP) algorithms can detect inconsistencies and discrepancies and ensure fraud prevention.
  • North America accounted for the largest revenue share in 2020 due to technological advancement and high investment in AI. Commercial banks in the region are focusing on improving customer services and increasing revenue.
  • Key players in the market include Amazon Web Services (AWS), Inc., Google LLC, CognitiveScale, Inc., Descartes Labs, Inc., Avaamo, Inc., Intel Corporation, Baidu, Inc., SAP SE, Microsoft Corporation, and Oracle Corporation.

Market Segmentation:

Emergen Research has segmented the global Artificial Intelligence in BFSI market on the basis of offering, solution, technology, application, and region:

  • Offering Component Outlook (Revenue, USD Million; 2018–2028)
    • Software
    • Services
    • Hardware
  • Solution Outlook (Revenue, USD Million; 2018–2028)
    • Fraud Detection & Prevention
    • Customer Relationship Management
    • Chabot
    • Anti-money Laundering
    • Data Analytics & Prediction
    • Others
  • Technology Outlook (Revenue, USD Million; 2018–2028)
    • Machine Learning
    • Context Aware Processing
    • Natural Language Processing (NLP)
    • Deep Learning
    • Others
  • Application Outlook (Revenue, USD Million; 2018–2028)
    • Risk Management
    • Financial Advisory
    • Compliance & Security
    • Back Office / Operation Customer Service

Regional Analysis:

The report provides an investigation of the global market in various geographical regions. The regional analysis states the global market is bifurcated into North America, Europe, Latin America, Asia Pacific, and Middle East & Africa. The report also covers import export consumption, supply and demand ratio, cost, pricing analysis, gross margin, and revenue estimation of each player in each region. The report covers a detailed examination of the market scenarios and trends on a regional and global level.

Key geographical regions analyzed in the report:

North America (U.S., Canada)

Europe (U.K., Italy, Germany, France, Rest of EU)

Asia Pacific (India, Japan, China, South Korea, Australia, Rest of APAC)

Latin America (Chile, Brazil, Argentina, Rest of Latin America)

Middle East & Africa (Saudi Arabia, U.A.E., South Africa, Rest of MEA)

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Key Objectives of the Artificial Intelligence in BFSI Market Report:

  • To provide an exhaustive overview of the Artificial Intelligence in BFSI market both on the global and regional levels
  • To offer extensive analysis and forecast of the market scenario for the global Artificial Intelligence in BFSI market
  • Analysis of the market segmentation, market size and share, and estimations for the same in the forecast period
  • Extensive study of market dynamics and the factors influencing the growth of the industry
  • Comprehensive competitive landscape analysis and extensive regional analysis
  • SWOT analysis, Porter’s Five Forces analysis, feasibility analysis, and investment return analysis
  • Prevailing marketing strategies along with strategic recommendations for the new players and established companies

Table Of Content:

Chapter 1. Methodology & Sources
    1.1. Market Definition
    1.2. Research Scope  
    1.3. Methodology
    1.4. Research Sources
          1.4.1. Primary
          1.4.2. Secondary
          1.4.3. Paid Sources
    1.5. Market Estimation Technique
Chapter 2. Executive Summary
    2.1. Summary Snapshot, 2020-2028
Chapter 3. Key Insights
Chapter 4. Artificial Intelligence in BFSI Market Segmentation & Impact Analysis
    4.1. Artificial Intelligence in BFSI Market Material Segmentation Analysis
    4.2. Industrial Outlook
          4.2.1. Market indicators analysis
          4.2.2. Market drivers analysis
                    4.2.2.1. Increasing preferences for personalized financial services
                    4.2.2.2. Advancement in technology
          4.2.3. Market restraints analysis 
                    4.2.3.1. Increase in concern for security. 
    4.3. Technological Insights 
    4.4. Regulatory Framework
    4.5. Porter’s Five Forces Analysis
    4.6. Competitive Metric Space Analysis
    4.7. Price trend Analysis
    4.8. Covid-19 Impact Analysis

Chapter 5. Artificial Intelligence in BFSI Market By Offering Insights & Trends, Revenue (USD Billion)
    5.1. Offering Dynamics & Market Share, 2021 & 2028
          5.1.1. Software
          5.1.2. Services
          5.1.3. Hardware

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Contact Information:

Contact Us:

Eric Lee

Corporate Sales Specialist

Emergen Research | Web: www.emergenresearch.com

Direct Line: +1 (604) 757-9756

E-mail: sales@emergenresearch.com

Facebook | LinkdIn | Twitter | Blogs