Global Predictive Analytics in Banking Market to surpass USD 10.07 billion by 2030 from USD 1.71 billion in 2020 at a CAGR of 19.42% in the coming years, i.e., 2021-30. In the last few years, the internet of things (IoT) has been one of the most valuable innovations for predictive analytics in banking industry trends, contributing to the launch of trillions of IoT-based operating systems across the world, which drives market growth. Moreover, the major drivers of global predictive analytics in the banking market growth were a substantial increase in illicit practices such as accounting fraud, money laundering, and payment card fraud. Moreover, the prediction of the incoming and outgoing property payments and client flow that is driving market growth has been helped by predictive analysis by banking and financial institutions.
Modern tech for customer insights is predictive analytics in the banking sector. Banks use instruments to anticipate analytical results to achieve a better and personalized customer experience through data-driven rational conclusions. It contributes to risk assessment, regulatory management and customer relations management of financial organisations (CRM). Credit card companies could use predictive analyses to establish credit lines for customers. In order to set premium amounts insurance companies can use predictive analytics. The system can be used by government agencies to stop illicit practices.
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Global Predictive Analytics in Banking Market: Key Players
- Alteryx Inc.
- Tableau Software Inc.
- SAS Institute Inc.
- TIBCO Software Inc
- Microsoft corporation
- SAP SE
- Salford Systems
- IBM Corporation
- Oracle Corporation
- Teradata Corporation
- Other Prominent Players
Global Predictive Analytics in Banking Market: Segments
Customer Management segment to grow with the highest CAGR during 2020-30
Global Predictive Analytics in Banking Market is segmented by application Type into Fraud Detection and Prevention, Customer Management, Sales and Marketing, Workforce Management and Others. Based on the application, customer management accounts for more than 30% of the 2020 share and is expected to continue with its maximum share in global predictive analytical technology in the banking market by 2030. This is due to increasing needs in the banking sector for customer management. However, due to an increasing number of banking and financial institutions’ money transfers, the fraud detection & prevention sector is projected to register the highest CAGR from 2020 to 2030.
On premises segment to grow with the highest CAGR during 2020-30
Global Predictive Analytics in Banking Market is divided by deployment model into On-Premise and Cloud. On the basis of the deployment model, this on-premises sector accounted for almost 60% of the worldwide predictive analysis on the banking market, contributing to the largest market share in 2020 and is expected to maintain its dominant position throughout the projected timeframe. The quick delivery of predictive insights is attributed to the reduction of errors by automated technologies and measurement of quality. However, it is estimated that, due to the less dependence of organizations on IT resources, organizations are adopting cloud use, and its CAGR is the highest for the 2020-2030 period.
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Penetration of IoT
Millions of IoT devices worldwide are available and fraudulent activity, which includes money laundering, financial fraud, and card fraud, is on the increase, and property payments are forecast in and out of business and customers are boosting the growth of global banking predictive analytics. On the other side, increased demand for developed economies and the use of Artificial Intelligence (AI) in mobile banking applications are propelling the growth in future years.
Implementation and integration issues between banks and financial institutions hinder the market growth.
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Global Predictive Analytics in Banking Market report also contains analysis on:
Predictive Analytics in Banking Segments:
- By Application Type:
- Fraud Detection and Prevention
- Customer Management
- Sales and Marketing
- Workforce Management
- By Deployment Mode:
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