Data Analytics In Banking Market By Component (Solution, Services), By Deployment Model (On-Premise, Cloud), By Organization Size (Large Enterprises, Small & Medium Sized Enterprises), By Type (Predictive Analytics, Prescriptive Analytics, Descriptive Analytics, Others), By Application (Fraud Detection & Prevention, Customer Management, Sales & Marketing, Workforce Management, Others): Global Opportunity Analysis And Industry Forecast, 2022-2030 , Covid 19 Outbreak Impact research report added by Report Ocean, is an in-depth analysis of market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography. It places the market within the context of the wider Data Analytics In Banking market, and compares it with other markets., market definition, regional market opportunity, sales and revenue by region, manufacturing cost analysis, Industrial Chain, market effect factors analysis, Data Analytics In Banking market size forecast, market data & Graphs and Statistics, Tables, Bar &Pie Charts, and many more for business intelligence. Get the whole report, which includes a chart and more than 100 tables and figures. – Comprehensive Analysis of COVID-19 Market Outbreak Impact and Regional Situation
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The global data analytics in the banking market size was US$ 4.9 billion in 2021. The global data analytics in banking market size is estimated to reach US$ 24.1 billion by 2030, growing at a compound annual growth rate (CAGR) of 19.4% during the forecast period from 2022 to 2030.
The banking industry and the clients who use finance products develop vast quantities of data every day. Also, It transformed the track of this detail is processed, creating it achievable to identify patterns and trends, which can be used to notify business judgments on a large scale. This data can be used to comprehend or identify several customer patterns and banking analytics can help boost sales and marketing strategies.
Factors Affecting Marketing Growth
Data analytics is supporting financial organizations and banks to know the clients and their purchasing patterns and behavior, which is propelling the growth of the global market.
The rise in fraudulent actions such as money laundering, accounting fraud, and payment card fraud is the primary factor propelling the growth of the global market.
Problems associated with execution and integration among financial institutions and banks hinder the growth of the market.
Integration of AI in mobile banking applications and growth in need from expanding economies are anticipated to drive the growth of the global market.
Impact on COVID-19 Analysis
COVID-19 had a considerable effect on the growth of the global market, due to the rise in adoption and use in the banking industry to research and study client data to execute effective strategies. It has gained rapid growth as there is a rise in technological development in the global market. Also, the fintech and bank industries deliver their clients with useful and relevant information to forecast forthcoming assignments and conditions. Thus, driving the growth of the global market.
Regional Analysis
Asia-Pacific is anticipated to be the rapid-growing region in the growth of the global market. This is due to the fact that many financial organizations in the region have adopted predictive analytics for growing the revenue of institutions and enhancing the decision-making ability of the organization.
Leading Competitors
The prominent players in the global data analytics in the banking market are:
TIBCO Software Inc.
KNIME AG
Zoho Corporation Pvt. Ltd
Sisense Inc.
SAS Institute Inc.
Oracle Corporation
Microsoft Corporation
Aspire Systems
Amazon Web Services
Others
Segmentation Analysis
The global data analytics in banking market segmentation focuses on Application, Component, Deployment Model, Organization Size, Type, and Region.
Segmentation on the basis of Application
Workforce Management
Fraud Detection & Prevention
Customer Management
Sales & Marketing
Others
Segmentation on the basis of Component
Services
Solution
Segmentation on the basis of the Deployment Model
Cloud
On-Premise
Segmentation on the basis of Organization Size
Small & Medium-Sized Enterprises
Large Enterprises
Segmentation on the basis of Type
Descriptive Analytics
Predictive Analytics
Prescriptive Analytics
Others
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Geographical Breakdown: The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth. It covers the impact and recovery path of Covid 19 for all regions, key developed countries and major emerging markets.
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