Predictive Analytics in Banking Market - 2020: COVID-19 Impact, Growth Opportunities and Business Development Strategies By 2027 | Alteryx Inc., IBM Corporation, Fair Isaac Corporation, Microsoft Corporation, Oracle Corporation and SAP SE

The report published by Allied market research, titled, “Predictive Analytics in Banking Market By Component (Solution and Service), Deployment Model (On-Premise and Cloud), Organization Size (Large Enterprise and SME), Application (Fraud Detection and Prevention, Customer Management, Sales and Marketing, Workforce Management and Others): Global Opportunity Analysis and Industry Forecast, 2020-2027”, offers a comprehensive analysis of key growth drivers, key segments, development strategies, market opportunities, and competitive landscape. This study offers detailed insights for market players, investors, stakeholders, and new entrants to understand the industry dynamics and determine strategic steps to gain the competitive advantage.

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HOW THIS REPORT WILL HELP YOU:
This report makes it important to understand the practical implications of the predictive analytics in banking market. To gain a competitive advantage, the players must have something unique. By tapping into the untapped market segment, they can establish a relevant point of differentiation, and this report offers an extensive analysis of untapped segments to benefit the market players and new entrants to gain the market share.

COVID-19 Scenario:
The predictive analytics in banking industry has been the worst hit by COVID-19 globally. Based on the government restrictions, and WHO guidelines the companies have stopped their manufacturing processes. The global lockdown has impacted the suppliers and distributors as well to halt their services. This impact hampered the growth of the market to a certain extent.

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PREDICTIVE ANALYTICS IN BANKING MARKET KEY SEGMENTATION:
The market is analyzed based on regions and competitive landscape in each region is mentioned. Regions discussed in the study include 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). These insights help to devise strategies and create new opportunities to achieve exceptional results.

The analysis becomes much easier and effective with proper segmentation of the market. The study offers a detailed segmentation of global predictive analytics in banking market based on the sales, revenue, growth rate, and market share of each segment. The key segments analyzed in the report are component, deployment model, organization size, application and region. The data tables and related graphs offered in the report makes the analysis easy to understand.

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PREDICTIVE ANALYTICS IN BANKING MARKET KEY PLAYERS:
Understanding the competitors’ key operating strategies, business performance in the past, and product & service portfolio is important to frame better business strategies to gain the competitive advantage. This report offers the extensive analysis of key players active in the global predictive analytics in banking market. Leading market players analyzed in the report 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. These players have adopted various strategies for expansion and development including joint ventures, mergers and acquisitions, collaborations and if required spin offs to gain a strong position in the market.

KEY OFFERINGS OF THE REPORT:
1. Key drivers & Opportunities: An extensive analysis on key factors and opportunities available in different segments for strategizing.
2. Current trends & forecasts: A comprehensive analysis on latest trends, and forecasts for next few years to frame strategic decisions as a next step.
3. Segmental analysis: An extensive analysis of each segment and driving factors such as revenue and growth rate is offered.
4. Regional Analysis: A thorough analysis of each geographic region can help market players devise expansion strategies and gain from the opportunity.
5. Competitive Landscape: Useful insights on each of the leading market players for outlining competitive scenario and related strategies have been offered in the report.

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Predictive Analytics in Banking Market Key Segments:
By Component:
1. Solution
2. Service

By Deployment Model:
1. On-Premise
2. Cloud

By Organization Size:
1. Large Enterprises
2. SME’s

By Application:
1. Fraud Detection & Prevention
2. Customer Management
3. Sales & Marketing
4. Workforce Management
5. Others

By Region:
1. North America
2. Europe
3. Asia-Pacific
4. LAMEA

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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