Predictive Analytics in Banking Market 2020-2027: Current Trends, Growth Opportunities and Business Strategies By Fair Isaac Corporation, IBM Corporation, Alteryx, Microsoft, Oracle, SAP SE, SAS Institute and Tableau Software

Allied Market Research published a new report, 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”.

The report offers an extensive analysis of key growth strategies, drivers, opportunities, key segment, Porter’s Five Forces analysis, and competitive landscape. This study is a helpful source of information for market players, investors, VPs, stakeholders, and new entrants to gain thorough understanding of the industry and determine steps to be taken to gain competitive advantage.

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The report offers key drivers that propel the growth in the global predictive analytics in banking market. These insights help market players in devising strategies to gain market presence. The research also outlined restraints of the market. Insights on opportunities are mentioned to assist market players in taking further steps by determining potential in untapped regions.

The research offers a detailed segmentation of the global predictive analytics in banking market. Key segments analyzed in the research include component, deployment model, organization size, application and geography. Extensive analysis of sales, revenue, growth rate, and market share of each component, deployment model, organization size, application and region for the historic period and the forecast period is offered with the help of tables.

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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 research offers an extensive analysis of key players active in the global predictive analytics in banking industry. Detailed analysis on operating business segments, product portfolio, business performance, and key strategic developments is offered in the research. 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 including expansions, mergers & acquisitions, joint ventures, new product launches, and collaborations to gain a strong position in the industry.

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Key Benefits:
1. The report provides a qualitative and quantitative analysis of the current predictive analytics in banking market trends, forecasts, and market size from 2019 to 2027 to determine new 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 player positioning segment provides an understanding of the current position of the market players active in the predictive analytics in banking industry.

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Key Offerings of the Report:
1. Key drivers & Opportunities: Detailed analysis on driving factors and opportunities in different segments for strategizing.
2. Current trends & forecasts: Comprehensive analysis on latest trends, development, and forecasts for next few years to take next steps.
3. Segmental analysis: Each segment analysis and driving factors along with revenue forecasts and growth rate analysis.
4. Regional Analysis: Thorough analysis of each region help market players devise expansion strategies and take a leap.
5. Competitive Landscape: Extensive insights on each of the leading market players for outlining competitive scenario and take steps accordingly.

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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