Predictive Analytics in Banking Market 2020-2027: COVID-19 Scenario, Current Trends, Growth Opportunities and In-Depth Analysis By Alteryx, Fair Isaac Corporation, IBM Corporation, Microsoft Corporation, Oracle Corporation, SAP SE and SAS Institute
The report has offered an all-inclusive analysis of the global predictive analytics in banking market taking into consideration all the crucial aspects like growth factors, constraints, market developments, top investment pockets, future prospects, and trends. At the start, the report lays emphasis on the key trends and opportunities that may emerge in the near future and positively impact the overall industry growth.
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Key drivers that are propelling the growth of the market included in the report. Additionally, challenges and restraining factors that are likely to curb the growth of the market are put forth by the analysts to prepare the manufacturers for future challenges in advance.
The report presents in-depth insights into each of the leading predictive analytics in banking end user verticals along with annual forecasts to 2027. The report provides revenue forecast with sales, and sales growth rate of the global predictive analytics in banking market. The forecasts are also provided with respect to the product, application, and regional segments of the market. The forecasts are issued to understand the future outlook and prospects of the industry.
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The market is evaluated based on its regional penetration, explaining the performance of the market in each regional market covering provinces such as North America (United States, Canada and Mexico), Europe (Germany, France, UK, Russia and Italy), Asia-Pacific (China, Japan, Korea, India and Southeast Asia), South America (Brazil, Argentina, Colombia), Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa).
Top 10 leading companies in the global predictive analytics in banking market are analyzed in the report along with their business overview, operations, financial analysis, SWOT profile and predictive analytics in banking products and services. The key players operating in the global predictive analytics in banking industry include Alteryx Inc., Fair Isaac Corporation, IBM Corporation, Microsoft Corporation, Oracle Corporation, SAP SE, SAS Institute Inc., Tableau Software Inc., Teradata Corporation and TIBCO Software Inc.
Latest news and industry developments in terms of market expansions, acquisitions, growth strategies, joint ventures and collaborations, product launches, market expansions etc. are included in the report.
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1. The report provides a qualitative and quantitative analysis of the current predictive analytics in banking market trends, forecasts, and market size from 2020 to 2027 to determine the prevailing opportunities.
2. Porter’s Five Forces analysis highlights the potency of buyers and suppliers to enable stakeholders to make strategic business decisions and determine the level of competition in the industry.
3. Top impacting factors & major investment pockets are highlighted in the research.
4. The major countries in each region are analyzed and their revenue contribution is mentioned.
5. The market report also provides an understanding of the current position of the market players active in the predictive analytics in banking industry.
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Highlights of the Report:
1. Competitive landscape of the predictive analytics in banking market.
2. Revenue generated by each segment of the predictive analytics in banking market by 2027.
3. Factors expected to drive and create new opportunities in the predictive analytics in banking industry.
4. Strategies to gain sustainable growth of the market.
5. Region that would create lucrative business opportunities during the forecast period.
6. Top impacting factors of the predictive analytics in banking market.
Predictive Analytics in Banking Market Key Segments:
By Deployment Model:
By Organization Size:
1. Large Enterprises
1. Fraud Detection & Prevention
2. Customer Management
3. Sales & Marketing
4. Workforce Management
1. North America
CHAPTERS DISCUSSED IN THE REPORT: [Total 223 Pages]
Chapter 1: Introduction
Chapter 2: Executive Summary
Chapter 3: Market Landscape
Chapter 4: Predictive Analytics in Banking Market By Component
Chapter 5: Predictive Analytics in Banking Market By Deployment Model
Chapter 6: Predictive Analytics in Banking Market By Organization Size
Chapter 7: Predictive Analytics in Banking Market By Application
Chapter 8: Predictive Analytics in Banking Market By Region
Chapter 9: Company Profiles
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