Artificial Intelligence in BFSI Market Share Analysis, Top Regions, Key Players –

The study of Artificial intelligence in the BFSI market for the forecast period 2021-2028 allows business owners to maintain a competitive edge over their rivals. The research further examines and provides market data by type, application, and geography interspersed with illustrations and other graphical representations. Market analysis determines not only the attractiveness of the industry, but also the evolving challenges and opportunities and their association with the weaknesses and strengths of key market leaders. Other factors taken into consideration while studying the industry include profitability, manufacturing capacity, distribution channels and industry cost structure and key success factors.

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

AI understands customer behavior and allows banks to personalize financial products and services by adding personalized features to build strong relationships with customers. Digital payment advisors, artificial intelligence bots and biometric fraud detection mechanisms help deliver high-quality services to a wider customer base. AI helps increase revenue, reduce costs, and increase profit potential.

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In addition, the report also provides an overview of product portfolios, costs, sales, production capacity, and market players. Raw materials, demand analysis, product flows, and distribution channels have been researched and researched in detail in this research report. Key trends and growth opportunities are offered through in-depth market investigation and review. A detailed development course is offered in the report along with related business information including local firms, industries, organizations, suppliers and manufacturers.

Key Players Analyzed in the Report:

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.

The report offers a comprehensive breakdown of the regional analysis of the market and subsequent analysis by country. The regional market analysis includes information on production volume, consumption volume and patterns, revenue and growth rate for the forecast period 2021-2028. According to the regional analysis, the market is mainly spread over the following key geographical regions:

  • North America (US, Canada)
  • Europe (UK, 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 and Africa (Saudi Arabia, United Arab Emirates, South Africa, Rest of MEA)

Main highlights of the report

  • In February 2021, FinMkt, which is a SaaS provider of loan origination and point-of-sale financing, announced its partnership with Persistent, a global solutions company that offers enterprise modernization, new product engineering generation and acceleration of digital activities. The partnership will enable small and medium financial institutions to accelerate digital lending strategies. FinMkt will enhance its artificial intelligence and machine learning capabilities to provide financial institutions with important insights to shape their credit policies.
  • The fraud detection and prevention units of BFSI companies use artificial intelligence to eliminate these activities. Big data is characterized by its volume and value, as well as its real-time capture and processing, and natural language processing (NLP) algorithms can detect inconsistencies and discrepancies and provide fraud prevention.
  • Machine learning offers opportunities for banking companies to improve their business by improving the performance and efficiency of BFSI operations. Machine learning attempts to study, identify and classify patterns and make decisions based on data collected over time. Machine learning can be used to produce accurate and fast results, which will drive demand among BFSIs.

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The study segments the overall Artificial Intelligence market in the BFSI market on the basis of different applications, end-use, end-user, and production capacity. From a business standpoint, the industry has been scrutinized in various countries located in North America, Europe, Asia-Pacific, and others. The size of the industry for the forecast period 2021-2028 is assessed based on current sales figures and past financial reports can be used to forecast future sales.

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

Supply Components Outlook (Revenue, USD Million; 2018-2028)

  • software
  • services
  • material

(Revenue, USD Million; 2018–2028)

  • Fraud detection and prevention
  • Customer relationship management
  • sculpin
  • Fight against money laundering
  • Data analysis and prediction
  • Others

Technology Outlook (Revenue, USD Million; 2018–2028)

  • machine learning
  • automatic processing context
  • natural language (NLP)
  • deep learning
  • Others

Application Outlook (Revenue, USD Million; 2018-2028)

  • Risk management
  • Financial advice
  • Compliance and Security

Overview of Artificial Intelligence in BFSI Market Report:

  • introduction, product scope, market overview and
  • Manufacturers Opportunity Analysis with Sales, Revenue and Price Analysis
  • overview of the competitive landscape
  • In-depth profiling of key competitors along with their business st rate and market size
  • Regional analysis of the market as well as sales, revenue, market share and global position
  • Country-wise analysis of the market along with types, applications, and manufacturing
  • Strategic recommendations to established players as well as new entrants
  • In-depth analysis of the risks, restraints and limitations of artificial intelligence in the BFSI industry

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The report covers the key points of the market including the standards, regulations and policy changes applied by the government on the industry for the coming years. The report encompasses in-depth research conducted through the application of advanced analytical tools such as SWOT analysis and Porter’s Five Forces analysis to identify trends and growth patterns. Factors likely to influence market growth, current trends, opportunities, restraining factors, and the business landscape are thoroughly discussed in the market study.

The research provides answers to the following key questions:

  • What will be the size and growth rate of the Artificial Intelligence on BFSI market over the forecast period 2021-2028?
  • What are the major drivers expected to shape the future of the market during the estimated time frame?
  • Which are the major industry players dominating the Artificial Intelligence on BFSI Market during the forecast period?
  • What are the major trends influencing the development of the industry?
  • What are the major challenges likely to hamper the progress of the market?
  • What are the main opportunities and threats faced by business owners operating in the vertical industry?

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Artificial Intelligence in BFSI Market Share Analysis, Top Regions, Key Players –

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