Big Data Analytics in BFSI Market Trends, Revenue, Key Players, Growth, Share and Forecast till 2027

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The study further explores and provides an in-depth analysis of current market dynamics and recent trends, focusing on various key factors and potential growth opportunities and risks. The report focuses on leading regions and their major countries to anticipate market growth in the forecast years.

The global big data analytics in BFSI market size is expected to reach USD 86.68 Billion in 2027 and register a steady CAGR over the forecast period, according to latest analysis by Emergen Research. Increasing focus to improve customer lifecycle in the BFSI industry, growing demand for early fraud detection in the BFSI industry, rising data volume generated by the capital market due to trading and transactions is resulting in high demand for big data analytics solutions. These factors are expected to continue to boost growth of the global big data analytics in BFSI market over the forecast period. However, data safety issues related to big data analytics solutions are associated risks and concerns are factors expected to restrain growth of the global big data analytics in BFSI market to some extent during the forecast period.

Click the link to get info@ https://www.emergenresearch.com/industry-report/big-data-analytics-in-bfsi-market

Some Key Highlights of Report

  • Increasing adoption of descriptive analytics across insurance companies to extract business information in order to boost business growth while facilitating better service to customers is a key factor expected to drive revenue growth of the descriptive analytics segment during the forecast period.
  • Rising adoption of cloud technology by end-users such as banks and insurance service providers is expected to continue to support revenue growth of the cloud-based delivery segment during the forecast period.
  • Increasing incidence of fraudulent healthcare insurance claims and increasing need for more effective solutions to prevent payer losses is a key factor expected to support revenue growth of the fraud detection segment during the forecast period.

Competitive Landscape:

Furthermore, the report includes an in-depth analysis of the competitive landscape. The segment covers a comprehensive overview of the company profiles along with product profiles, production capacities, products/services, pricing analysis, profit margins, and manufacturing process developments. The report also covers strategic business measures undertaken by the companies to gain substantial market share. The report provides insightful information about recent mergers and acquisitions, product launches, collaborations, joint ventures, partnerships, agreements, and government deals.

Key market players include SAP SE, Oracle Corporation, Accenture plc, Alteryx Inc, International Business Machines Corporation, BigPanda, Inc., Nimbix, Inc., Gainsight, Inc., Fractal Analytics Inc., and Salesforce.com, Inc.

Emergen Research has segmented the global big data analytics in BFSI market on the basis of type, delivery, application, end-use, and region.

Type Outlook (Revenue, USD Billion; 2020–2027)

  • Descriptive Analytics
  • Diagnostic Analytics
  • Predictive Analytics
  • Prescriptive Analytics

Delivery Outlook (Revenue, USD Billion; 2020–2027)

  • Cloud-based
  • On-premises

Application Outlook (Revenue, USD Billion; 2020–2027)

  • Customer Relationship Management (CRM)
  • Fraud Detection
  • Risk Management
  • Operation Optimization
  • Customer Analytics
  • Others

End-use Outlook (Revenue, USD Billion; 2020–2027)

  • Insurance Companies
  • Capital Market
  • Banks

Thank you for reading our report. Customization of the report is available. To know more, please connect with us, and our team will ensure the report is customized as per your requirements.

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About Us:

At Emergen Research, we believe in advancing with technology. We are a growing market research and strategy consulting company with an exhaustive knowledge base of cutting-edge and potentially market-disrupting technologies that are predicted to become more prevalent in the coming decade.

 

 

 

 

 

 

 

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