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Global Big Data Analytics in Banking Market Research Report 2023

Global Big Data Analytics in Banking Market Research Report 2023

  • Published on : 13 December 2022
  • Pages :98
  • Report Code:SMR-7507815

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Report overview

Market Analysis and Insights: Global Big Data Analytics in Banking Market
Big data analytics refers to the strategy of analyzing large volumes of data, or big data.
The global Big Data Analytics in Banking market size is projected to reach US$ million by 2030, from US$ million in 2022, at a CAGR of % during 2023-2030.
APAC is expected to have High Adoption Rate Owing to Large Potential. Rapid technological developments in the information technology sector and increasing business operations mark Asia-Pacific (APAC) as the most important market for Big Data in banking during the forecast period. The biggest contributors to this market are China and India that account for most of the revenue in the APAC region. Many organizations in the APAC region are increasingly depending on digital systems to realize their goals. Several vendors, such as SAP and IBM provide wide -range of Big Data analytics services to banks in the region. Some of the core capabilities of these services include real-time monitoring, big cloud services, and other customized dashboards for easier retrieval of data, to ease the workflows. These tools enable organizations for on-the-resource planning and offer modified plans to aid decision-making.
With industry-standard accuracy in analysis and high data integrity, the report makes a brilliant attempt to unveil key opportunities available in the global Big Data Analytics in Banking market to help players in achieving a strong market position. Buyers of the report can access verified and reliable market forecasts, including those for the overall size of the global Big Data Analytics in Banking market in terms of revenue.
Overall, the report proves to be an effective tool that players can use to gain a competitive edge over their competitors and ensure lasting success in the global Big Data Analytics in Banking market. All of the findings, data, and information provided in the report are validated and revalidated with the help of trustworthy sources. The analysts who have authored the report took a unique and industry-best research and analysis approach for an in-depth study of the global Big Data Analytics in Banking market.
Global Big Data Analytics in Banking Scope and Market Size
Big Data Analytics in Banking market is segmented by players, region (country), by Type and by Application. Players, stakeholders, and other participants in the global Big Data Analytics in Banking market will be able to gain the upper hand as they use the report as a powerful resource. The segmental analysis focuses on revenue and forecast by Type and by Application for the period 2017-2030.
Segment by Type

  • On-Premise
  • Cloud

Segment by Application

  • Feedback Management
  • Customer Analytics
  • Social Media Analytics
  • Fraud Detection and Management
  • Others

By Region

  • North America
  • United States
  • Canada
  • Europe
  • Germany
  • France
  • UK
  • Italy
  • Russia
  • Nordic Countries
  • Rest of Europe
  • Asia-Pacific
  • China
  • Japan
  • South Korea
  • Southeast Asia
  • India
  • Australia
  • Rest of Asia
  • Latin America
  • Mexico
  • Brazil
  • Rest of Latin America
  • Middle East & Africa
  • Turkey
  • Saudi Arabia
  • UAE
  • Rest of MEA

By Company

  • IBM
  • Oracle
  • SAP SE
  • Microsoft
  • HP
  • Amazon AWS
  • Google
  • Hitachi Data Systems
  • Tableau
  • New Relic
  • Alation
  • Teradata
  • VMware
  • Splice Machine
  • Splunk Enterprise
  • Alteryx