The global demand for Predictive Analytics in Banking Market is presumed to reach the valuation of nearly USD XX MN by 2026 from USD XX MN in 2019 with a CAGR of XX% under the study period of 2020 - 2026.
Predictive analysis is a process of anticipating future events based on computer models. The prediction relies on data mining, and machine learning to analyze enormous amounts of information. In the banking sector, predictive analytics can help manage to cross-sell and upsell, segmentation, customer retention, fraud detection, collection, expense, liquidity planning, and account transaction management.
The banking sector is struggling with two challenges: fraud fight and adoption of the latest technology to stay competitive. The predictive analytics helps to cope with this struggle. Along with this, predictive analysis automates work, improves visibility, adapts automatically, deploy in multi-channel applications. There is a growing pressure of clients on financial service providers to offer more personalized solutions, easy-to-access products, and the overall better customer experience in line with strict security and privacy standards. Predictive analytics can help at numerous touchpoints and streamline more than a few operations to accomplish this disparity between client demands and banking goals.
The report covers Porter’s Five Forces Model, Market Attractiveness Analysis and Value Chain analysis. These tools help to get a clear picture of the industry’s structure and evaluate the competition attractiveness at a global level.
Additionally, these tools also give inclusive assessment of each application/product segment in the global market of Predictive Analytics in Banking.
The entire Predictive Analytics in banking market has been sub-categorized into type, application, and end-user. The report provides an analysis of these subsets with respect to the geographical segmentation. This research study will keep marketer informed and helps to identify the target demographics for a product or service.
By Deployment Model
By Organization Size
- Fraud Detection & Prevention
- Customer Management
- Sales & Marketing
- Workforce Management
This section covers regional segmentation which accentuates on current and future demand for Predictive Analytics in Banking market across North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa. Further, the report focuses on demand for individual application segment across all the prominent regions.
Global Predictive Analytics in Banking Market Share by Region (Representative Graph)
The research report also covers the comprehensive profiles of the key players in the market and an in-depth view of the competitive landscape worldwide. The major players in the Predictive Analytics in Banking market include Alteryx Inc., Fair Isaac Corporation, IBM Corporation, Microsoft corporation, Oracle Corporation. This section includes a holistic view of the competitive landscape that includes various strategic developments such as key mergers & acquisitions, future capacities, partnerships, financial overviews, collaborations, new product developments, new product launches, and other developments.
This market research report has been produced by gathering information on the basis of primary and secondary research. Secondary research has been done by using various sources which include (but not limited to) Company Websites, Paid Data Sources, Technical Journals, Financial Reports, SEC Filings, and other different industry publications.
If specific information is required which is not currently within the scope of the report, it can be provided as a part of customization.