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 2028, from US$ million in 2021, at a CAGR of % during 2022-2028.
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.
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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 2017-2028.
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