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, 2019-2026
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A00143
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Pages: 223
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Mar
2020 |
5140 Views
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Author(s) :
Pramod Borasi, Vaibhav Modi
, Onkar Sumant
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Tables: 56
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Charts: 34
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Formats*:
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Request Now !Predictive Analytics in Banking Market Outlook - 2026
The global predictive analytics in banking market size was valued at $1.20 billion in 2018, and is projected to reach $5.43 billion by 2026, registering a CAGR of 20.80% from 2019 to 2026. Predictive analytics is an advanced analytics technology that identifies the current trend of organizations and controls the financial risks for the organization using historical data and current data.
The predictive analytics uses a wide variety of techniques such as statistics, data mining, data modeling, machine learning, and artificial intelligence. These techniques are widely adopted for identifying financial uncertainty, accidents, strategic management errors, and legal liabilities.
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The predictive analytics in banking market trends include internet of Things (IoT) has been one of the most useful innovations in the last few decades, leading to introduction of billions of IoT-based devices across the globe, which is drive the growth of the market. In addition, significant increase in fraudulent activities such as accounting fraud, money laundering and payment card fraud has been the major factor driving the global predictive analytics in banking market growth.
Furthermore, predictive analytics have been helping the bank and financial institutions to predict their incoming and outgoing property payment and customer flow, which is driving the growth of the market. However, issues associated with implementation and integration among banks and financial institutions hamper the growth of the market. Conversely, a rise in demand from developing economies and integration of artificial intelligence in mobile banking apps are expected to provide major opportunities for the growth of predictive analytics in the banking market during the forecast period.
Predictive Analytics in Banking Market
By Component
Service segment is projected to be the most lucrative segment
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The solution segment is expected to garner significant share owing to banks identify customers' money spending categories, and cash flow trends, which helps them in maintaining enhanced customer relationships. This is an important factor that boosts predictive analytics in banking. However, the service segment is expected to grow at a highest rate during the forecast period, owing surge in demand for on premises management services for predictive analytics during the forecast period. Thus, driving the growth of predictive analytics in banking market in this segment.
Predictive Analytics in Banking Market
By Deployment Model
Cloud segment would exhibit the highest CAGR of 22.60% during 2019 - 2026
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The report focuses on the growth prospects, restraints, and trends of the predictive analytics in banking market analysis. The study provides Porter’s five forces analysis to understand the impact of various factors such as bargaining power of suppliers, competitive intensity of competitors, threat of new entrants, threat of substitutes, and bargaining power of buyers on the predictive analytics in banking market.
Predictive Analytics in Banking Market
By Organization Size
SME segment is projected to be the most lucrative segment
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Segmentation
The global predictive analytics in banking market is segmented on the basis of component, deployment model, organization size, application, and region. In terms of component, it is bifurcated into solution and services. Based on deployment model, the market is segmented into on-premise and cloud. As per organization size, it is divided into large enterprises and SMEs.
Predictive Analytics in Banking Market
By Application
Fraud Detection and Prevention segment would exhibit the highest CAGR of 24.90% during the forecast period
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In terms of application, the market is segmented into fraud detection & prevention, customer management, sales & marketing, workforce management and others. Region wise, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.
Predictive Analytics in Banking Market
By Region
North America region holds a dominant position in 2018 and would maintain the lead during the forecast period
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Top Impacting Factors
Increase in Adoption of Advanced Technologies For Fraud Detection
Significant rise in fraudulent activities has been observed in banking and financial institution in the recent years. The customers have started using banking services across a variety of channels leading to increased number of bank frauds such as money laundering, payment card fraud, and fraudulent loans. However, such fraudulent activities can be reduced by advanced technologies, such as predictive analytics, and machine learning algorithm-based fraud detection solution.
The machine learning-based fraud detection help to banks for online fraud detection and quickly suggests actions to decision makers. Several large sized banks have started using predictive analytics-based fraud detection software to detect fraudulent activities across various channels involved in payment processing. In addition, these institutions are also using predictive analytics software in mobile apps for remote ordering or banking and paying for goods and services.
Surge in Number of Risk Management Function
Risk management has been one of the most challenging functions of banking institutions since several decades. Any pitfalls in managing risks by these organizations can adversely affect the profit of an organization. These global financial institutions have increased their focus on handling several risks, such as customer risk, operational risk, credit risk, operational risk, and others.
The banking industry generates a huge volume of data on a daily basis that can be used by predictive analytics to develop the number of risk functions such as internal audit, stress testing, bank failure prediction and operational & liquidity risks. In addition, predictive analytics use in the banks supports initial discovery of high-risk accounts to reduce fraudulent and default cases.
Competitive Analysis
The key players profiled in the predictive analytics in banking industry analysis are 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 key players have adopted various strategies such as product portfolio expansion, mergers & acquisitions, agreements, geographical expansion, and collaborations to increase their market penetration and strengthen their position in the industry.
Key Benefits for Stakeholders:
- The study provides an in-depth analysis of the global predictive analytics in banking market forecast along with the current & future trends to elucidate the imminent investment pockets.
- Information about key drivers, restraints, and opportunities and their impact analysis on the global predictive analytics in banking market size is provided in the report.
- Porter’s five forces analysis illustrates the potency of the buyers and suppliers operating in the industry.
- The quantitative analysis of the predictive analytics in banking market share for the period 2019–2027 is provided to determine the market potential.
Predictive Analytics in Banking Market Key Segments:
By Component
- Solution
- Service
By Deployment Model
- On-Premise
- Cloud
By Organization Size
- Large Enterprises
- SME’s
By Application
- Fraud Detection & Prevention
- Customer Management
- Sales & Marketing
- Workforce Management
- Others
By Region
- North America
- U.S.
- Canada
- Europe
- UK
- Germany
- France
- Italy
- Spain
- Russia
- Rest of Europe
- Asia-Pacific
- China
- India
- Japan
- Singapore
- South Korea
- Rest of Asia-Pacific
- LAMEA
- Latin America
- Middle East
- Africa
Key Market Players
- Alteryx, Inc.
- Fair Isaac Corporation
- IBM Corporation
- Microsoft corporation
- Oracle Corporation
- SAP SE
- SAS Institute, Inc.
- Tableau Software, Inc.
- Teradata Corporation
- TIBCO Software, Inc.
CHAPTER 1: INTRODUCTION
1.1. REPORT DESCRIPTION
1.2. KEY MARKET SEGMENTS
1.3. KEY BENEFITS
1.4. RESEARCH METHODOLOGY
1.4.1. Primary research
1.4.2. Secondary research
1.4.3. Analyst tools and models
CHAPTER 2: EXECUTIVE SUMMARY
2.1. CXO PERSPECTIVE
CHAPTER 3: MARKET LANDSCAPE
3.1. MARKET DEFINITION AND SCOPE
3.2. KEY FINDINGS
3.2.1. Top investment pockets
3.2.2. Top winning strategies
3.3. PORTER'S FIVE FORCES ANALYSIS
3.3.1. Bargaining power of suppliers
3.3.2. Threat of new entrants
3.3.3. Threat of substitutes
3.3.4. Competitive rivalry
3.3.5. Bargaining power among buyers
3.4. MARKET SHARE ANALYSIS/TOP PLAYER POSITIONING
3.5. MARKET DYNAMICS
3.5.1. Drivers
3.5.2. Restraints
3.5.3. Opportunities
CHAPTER 4: PREDICTIVE ANALYTICS IN BANKING MARKET BY COMPONENT
4.1. OVERVIEW
4.2. SOLUTION
4.2.1. Key market trends, Growth factors and opportunities
4.2.2. Market size and forecast by region
4.2.3. Market analysis by country
4.3. SERVICES
4.3.1. Key market trends, Growth factors and opportunities
4.3.2. Market size and forecast by region
4.3.3. Market analysis by country
CHAPTER 5: PREDICTIVE ANALYTICS IN BANKING MARKET BY DEPLOYMENT MODEL
5.1. OVERVIEW
5.2. ON-PREMISE
5.2.1. Key market trends, Growth factors and opportunities
5.2.2. Market size and forecast by region
5.2.3. Market analysis by country
5.3. CLOUD
5.3.1. Key market trends, Growth factors and opportunities
5.3.2. Market size and forecast by region
5.3.3. Market analysis by country
CHAPTER 6: PREDICTIVE ANALYTICS IN BANKING MARKET BY ORGANIZATION SIZE
6.1. OVERVIEW
6.2. LARGE ENTERPRISES
6.2.1. Key market trends, Growth factors and opportunities
6.2.2. Market size and forecast by region
6.2.3. Market analysis by country
6.3. SMES
6.3.1. Key market trends, Growth factors and opportunities
6.3.2. Market size and forecast by region
6.3.3. Market analysis by country
CHAPTER 7: PREDICTIVE ANALYTICS IN BANKING MARKET BY APPLICATION
7.1. OVERVIEW
7.2. FRAUD DETECTION PREVENTION
7.2.1. Key market trends, Growth factors and opportunities
7.2.2. Market size and forecast by region
7.2.3. Market analysis by country
7.3. CUSTOMER MANAGEMENT
7.3.1. Key market trends, Growth factors and opportunities
7.3.2. Market size and forecast by region
7.3.3. Market analysis by country
7.4. SALES MARKETING
7.4.1. Key market trends, Growth factors and opportunities
7.4.2. Market size and forecast by region
7.4.3. Market analysis by country
7.5. WORKFORCE MANAGEMENT
7.5.1. Key market trends, Growth factors and opportunities
7.5.2. Market size and forecast by region
7.5.3. Market analysis by country
7.6. OTHERS
7.6.1. Key market trends, Growth factors and opportunities
7.6.2. Market size and forecast by region
7.6.3. Market analysis by country
CHAPTER 8: PREDICTIVE ANALYTICS IN BANKING MARKET BY REGION
8.1. OVERVIEW
8.2. NORTH AMERICA
8.2.1. Key market trends and opportunities
8.2.2. Market size and forecast by Component
8.2.3. Market size and forecast by Deployment Model
8.2.4. Market size and forecast by Organization Size
8.2.5. Market size and forecast by Application
8.2.6. Market size and forecast by Country
8.2.7. U.S. PREDICTIVE ANALYTICS IN BANKING MARKET
8.2.7.1. Market size and forecast by Component
8.2.7.2. Market size and forecast by Deployment Model
8.2.7.3. Market size and forecast by Organization Size
8.2.7.4. Market size and forecast by Application
8.2.8. CANADA PREDICTIVE ANALYTICS IN BANKING MARKET
8.2.8.1. Market size and forecast by Component
8.2.8.2. Market size and forecast by Deployment Model
8.2.8.3. Market size and forecast by Organization Size
8.2.8.4. Market size and forecast by Application
8.3. EUROPE
8.3.1. Key market trends and opportunities
8.3.2. Market size and forecast by Component
8.3.3. Market size and forecast by Deployment Model
8.3.4. Market size and forecast by Organization Size
8.3.5. Market size and forecast by Application
8.3.6. Market size and forecast by Country
8.3.7. UK PREDICTIVE ANALYTICS IN BANKING MARKET
8.3.7.1. Market size and forecast by Component
8.3.7.2. Market size and forecast by Deployment Model
8.3.7.3. Market size and forecast by Organization Size
8.3.7.4. Market size and forecast by Application
8.3.8. GERMANY PREDICTIVE ANALYTICS IN BANKING MARKET
8.3.8.1. Market size and forecast by Component
8.3.8.2. Market size and forecast by Deployment Model
8.3.8.3. Market size and forecast by Organization Size
8.3.8.4. Market size and forecast by Application
8.3.9. FRANCE PREDICTIVE ANALYTICS IN BANKING MARKET
8.3.9.1. Market size and forecast by Component
8.3.9.2. Market size and forecast by Deployment Model
8.3.9.3. Market size and forecast by Organization Size
8.3.9.4. Market size and forecast by Application
8.3.10. ITALY PREDICTIVE ANALYTICS IN BANKING MARKET
8.3.10.1. Market size and forecast by Component
8.3.10.2. Market size and forecast by Deployment Model
8.3.10.3. Market size and forecast by Organization Size
8.3.10.4. Market size and forecast by Application
8.3.11. SPAIN PREDICTIVE ANALYTICS IN BANKING MARKET
8.3.11.1. Market size and forecast by Component
8.3.11.2. Market size and forecast by Deployment Model
8.3.11.3. Market size and forecast by Organization Size
8.3.11.4. Market size and forecast by Application
8.3.12. RUSSIA PREDICTIVE ANALYTICS IN BANKING MARKET
8.3.12.1. Market size and forecast by Component
8.3.12.2. Market size and forecast by Deployment Model
8.3.12.3. Market size and forecast by Organization Size
8.3.12.4. Market size and forecast by Application
8.3.13. REST OF EUROPE PREDICTIVE ANALYTICS IN BANKING MARKET
8.3.13.1. Market size and forecast by Component
8.3.13.2. Market size and forecast by Deployment Model
8.3.13.3. Market size and forecast by Organization Size
8.3.13.4. Market size and forecast by Application
8.4. ASIA-PACIFIC
8.4.1. Key market trends and opportunities
8.4.2. Market size and forecast by Component
8.4.3. Market size and forecast by Deployment Model
8.4.4. Market size and forecast by Organization Size
8.4.5. Market size and forecast by Application
8.4.6. Market size and forecast by Country
8.4.7. CHINA PREDICTIVE ANALYTICS IN BANKING MARKET
8.4.7.1. Market size and forecast by Component
8.4.7.2. Market size and forecast by Deployment Model
8.4.7.3. Market size and forecast by Organization Size
8.4.7.4. Market size and forecast by Application
8.4.8. INDIA PREDICTIVE ANALYTICS IN BANKING MARKET
8.4.8.1. Market size and forecast by Component
8.4.8.2. Market size and forecast by Deployment Model
8.4.8.3. Market size and forecast by Organization Size
8.4.8.4. Market size and forecast by Application
8.4.9. JAPAN PREDICTIVE ANALYTICS IN BANKING MARKET
8.4.9.1. Market size and forecast by Component
8.4.9.2. Market size and forecast by Deployment Model
8.4.9.3. Market size and forecast by Organization Size
8.4.9.4. Market size and forecast by Application
8.4.10. AUSTRALIA PREDICTIVE ANALYTICS IN BANKING MARKET
8.4.10.1. Market size and forecast by Component
8.4.10.2. Market size and forecast by Deployment Model
8.4.10.3. Market size and forecast by Organization Size
8.4.10.4. Market size and forecast by Application
8.4.11. SINGAPORE PREDICTIVE ANALYTICS IN BANKING MARKET
8.4.11.1. Market size and forecast by Component
8.4.11.2. Market size and forecast by Deployment Model
8.4.11.3. Market size and forecast by Organization Size
8.4.11.4. Market size and forecast by Application
8.4.12. SOUTH KOREA PREDICTIVE ANALYTICS IN BANKING MARKET
8.4.12.1. Market size and forecast by Component
8.4.12.2. Market size and forecast by Deployment Model
8.4.12.3. Market size and forecast by Organization Size
8.4.12.4. Market size and forecast by Application
8.4.13. REST OF ASIA-PACIFIC PREDICTIVE ANALYTICS IN BANKING MARKET
8.4.13.1. Market size and forecast by Component
8.4.13.2. Market size and forecast by Deployment Model
8.4.13.3. Market size and forecast by Organization Size
8.4.13.4. Market size and forecast by Application
8.5. LAMEA
8.5.1. Key market trends and opportunities
8.5.2. Market size and forecast by Component
8.5.3. Market size and forecast by Deployment Model
8.5.4. Market size and forecast by Organization Size
8.5.5. Market size and forecast by Application
8.5.6. Market size and forecast by Country
8.5.7. LATIN AMERICA PREDICTIVE ANALYTICS IN BANKING MARKET
8.5.7.1. Market size and forecast by Component
8.5.7.2. Market size and forecast by Deployment Model
8.5.7.3. Market size and forecast by Organization Size
8.5.7.4. Market size and forecast by Application
8.5.8. MIDDLE EAST PREDICTIVE ANALYTICS IN BANKING MARKET
8.5.8.1. Market size and forecast by Component
8.5.8.2. Market size and forecast by Deployment Model
8.5.8.3. Market size and forecast by Organization Size
8.5.8.4. Market size and forecast by Application
8.5.9. AFRICA PREDICTIVE ANALYTICS IN BANKING MARKET
8.5.9.1. Market size and forecast by Component
8.5.9.2. Market size and forecast by Deployment Model
8.5.9.3. Market size and forecast by Organization Size
8.5.9.4. Market size and forecast by Application
CHAPTER 9: COMPANY PROFILES
9.1. ALTERYX, INC.
9.1.1. Company overview
9.1.2. Key Executives
9.1.3. Company snapshot
9.1.4. Operating business segments
9.1.5. Product portfolio
9.1.6. Business performance
9.1.7. Key strategic moves and developments
9.2. FAIR ISAAC CORPORATION
9.2.1. Company overview
9.2.2. Key Executives
9.2.3. Company snapshot
9.2.4. Operating business segments
9.2.5. Product portfolio
9.2.6. Business performance
9.2.7. Key strategic moves and developments
9.3. IBM CORPORATION
9.3.1. Company overview
9.3.2. Key Executives
9.3.3. Company snapshot
9.3.4. Operating business segments
9.3.5. Product portfolio
9.3.6. Business performance
9.3.7. Key strategic moves and developments
9.4. MICROSOFT CORPORATION
9.4.1. Company overview
9.4.2. Key Executives
9.4.3. Company snapshot
9.4.4. Operating business segments
9.4.5. Product portfolio
9.4.6. Business performance
9.4.7. Key strategic moves and developments
9.5. ORACLE CORPORATION
9.5.1. Company overview
9.5.2. Key Executives
9.5.3. Company snapshot
9.5.4. Operating business segments
9.5.5. Product portfolio
9.5.6. Business performance
9.5.7. Key strategic moves and developments
9.6. SAP SE
9.6.1. Company overview
9.6.2. Key Executives
9.6.3. Company snapshot
9.6.4. Operating business segments
9.6.5. Product portfolio
9.6.6. Business performance
9.6.7. Key strategic moves and developments
9.7. SAS INSTITUTE, INC.
9.7.1. Company overview
9.7.2. Key Executives
9.7.3. Company snapshot
9.7.4. Operating business segments
9.7.5. Product portfolio
9.7.6. Business performance
9.7.7. Key strategic moves and developments
9.8. TABLEAU SOFTWARE, INC.
9.8.1. Company overview
9.8.2. Key Executives
9.8.3. Company snapshot
9.8.4. Operating business segments
9.8.5. Product portfolio
9.8.6. Business performance
9.8.7. Key strategic moves and developments
9.9. TERADATA CORPORATION
9.9.1. Company overview
9.9.2. Key Executives
9.9.3. Company snapshot
9.9.4. Operating business segments
9.9.5. Product portfolio
9.9.6. Business performance
9.9.7. Key strategic moves and developments
9.10. TIBCO SOFTWARE, INC.
9.10.1. Company overview
9.10.2. Key Executives
9.10.3. Company snapshot
9.10.4. Operating business segments
9.10.5. Product portfolio
9.10.6. Business performance
9.10.7. Key strategic moves and developments
LIST OF TABLES
TABLE 1. GLOBAL PREDICTIVE ANALYTICS IN BANKING MARKET, BY COMPONENT 2018-2026 ($MILLION)
TABLE 2. PREDICTIVE ANALYTICS IN BANKING MARKET FOR SOLUTION, BY REGION, 2018-2026 ($MILLION)
TABLE 3. PREDICTIVE ANALYTICS IN BANKING MARKET FOR SERVICES, BY REGION, 2018-2026 ($MILLION)
TABLE 4. GLOBAL PREDICTIVE ANALYTICS IN BANKING MARKET, BY DEPLOYMENT MODEL 2018-2026 ($MILLION)
TABLE 5. PREDICTIVE ANALYTICS IN BANKING MARKET FOR ON-PREMISE, BY REGION, 2018-2026 ($MILLION)
TABLE 6. PREDICTIVE ANALYTICS IN BANKING MARKET FOR CLOUD, BY REGION, 2018-2026 ($MILLION)
TABLE 7. GLOBAL PREDICTIVE ANALYTICS IN BANKING MARKET, BY ORGANIZATION SIZE 2018-2026 ($MILLION)
TABLE 8. PREDICTIVE ANALYTICS IN BANKING MARKET FOR LARGE ENTERPRISES, BY REGION, 2018-2026 ($MILLION)
TABLE 9. PREDICTIVE ANALYTICS IN BANKING MARKET FOR SMES, BY REGION, 2018-2026 ($MILLION)
TABLE 10. GLOBAL PREDICTIVE ANALYTICS IN BANKING MARKET, BY APPLICATION 2018-2026 ($MILLION)
TABLE 11. PREDICTIVE ANALYTICS IN BANKING MARKET FOR FRAUD DETECTION PREVENTION, BY REGION, 2018-2026 ($MILLION)
TABLE 12. PREDICTIVE ANALYTICS IN BANKING MARKET FOR CUSTOMER MANAGEMENT, BY REGION, 2018-2026 ($MILLION)
TABLE 13. PREDICTIVE ANALYTICS IN BANKING MARKET FOR SALES MARKETING, BY REGION, 2018-2026 ($MILLION)
TABLE 14. PREDICTIVE ANALYTICS IN BANKING MARKET FOR WORKFORCE MANAGEMENT, BY REGION, 2018-2026 ($MILLION)
TABLE 15. PREDICTIVE ANALYTICS IN BANKING MARKET FOR OTHERS, BY REGION, 2018-2026 ($MILLION)
TABLE 16. PREDICTIVE ANALYTICS IN BANKING MARKET FOR, BY REGION, 2018-2026 ($MILLION)
TABLE 17. NORTH AMERICA PREDICTIVE ANALYTICS IN BANKING, BY COMPONENT 2018-2026 ($MILLION)
TABLE 18. NORTH AMERICA PREDICTIVE ANALYTICS IN BANKING, BY DEPLOYMENT MODEL 2018-2026 ($MILLION)
TABLE 19. NORTH AMERICA PREDICTIVE ANALYTICS IN BANKING, BY ORGANIZATION SIZE 2018-2026 ($MILLION)
TABLE 20. NORTH AMERICA PREDICTIVE ANALYTICS IN BANKING, BY APPLICATION 2018-2026 ($MILLION)
TABLE 21. NORTH AMERICA PREDICTIVE ANALYTICS IN BANKING, BY REGION, 2018-2026 ($MILLION)
TABLE 22. EUROPE PREDICTIVE ANALYTICS IN BANKING, BY COMPONENT 2018-2026 ($MILLION)
TABLE 23. EUROPE PREDICTIVE ANALYTICS IN BANKING, BY DEPLOYMENT MODEL 2018-2026 ($MILLION)
TABLE 24. EUROPE PREDICTIVE ANALYTICS IN BANKING, BY ORGANIZATION SIZE 2018-2026 ($MILLION)
TABLE 25. EUROPE PREDICTIVE ANALYTICS IN BANKING, BY APPLICATION 2018-2026 ($MILLION)
TABLE 26. EUROPE PREDICTIVE ANALYTICS IN BANKING, BY REGION, 2018-2026 ($MILLION)
TABLE 27. ASIA-PACIFIC PREDICTIVE ANALYTICS IN BANKING, BY COMPONENT 2018-2026 ($MILLION)
TABLE 28. ASIA-PACIFIC PREDICTIVE ANALYTICS IN BANKING, BY DEPLOYMENT MODEL 2018-2026 ($MILLION)
TABLE 29. ASIA-PACIFIC PREDICTIVE ANALYTICS IN BANKING, BY ORGANIZATION SIZE 2018-2026 ($MILLION)
TABLE 30. ASIA-PACIFIC PREDICTIVE ANALYTICS IN BANKING, BY APPLICATION 2018-2026 ($MILLION)
TABLE 31. ASIA-PACIFIC PREDICTIVE ANALYTICS IN BANKING, BY REGION, 2018-2026 ($MILLION)
TABLE 32. LAMEA PREDICTIVE ANALYTICS IN BANKING, BY COMPONENT 2018-2026 ($MILLION)
TABLE 33. LAMEA PREDICTIVE ANALYTICS IN BANKING, BY DEPLOYMENT MODEL 2018-2026 ($MILLION)
TABLE 34. LAMEA PREDICTIVE ANALYTICS IN BANKING, BY ORGANIZATION SIZE 2018-2026 ($MILLION)
TABLE 35. LAMEA PREDICTIVE ANALYTICS IN BANKING, BY APPLICATION 2018-2026 ($MILLION)
TABLE 36. LAMEA PREDICTIVE ANALYTICS IN BANKING, BY REGION, 2018-2026 ($MILLION)
TABLE 37. ALTERYX, INC.: COMPANY SNAPSHOT
TABLE 38. ALTERYX, INC.: OPERATING SEGMENTS
TABLE 39. FAIR ISAAC CORPORATION: COMPANY SNAPSHOT
TABLE 40. FAIR ISAAC CORPORATION: OPERATING SEGMENTS
TABLE 41. IBM CORPORATION: COMPANY SNAPSHOT
TABLE 42. IBM CORPORATION: OPERATING SEGMENTS
TABLE 43. MICROSOFT CORPORATION: COMPANY SNAPSHOT
TABLE 44. MICROSOFT CORPORATION: OPERATING SEGMENTS
TABLE 45. ORACLE CORPORATION: COMPANY SNAPSHOT
TABLE 46. ORACLE CORPORATION: OPERATING SEGMENTS
TABLE 47. SAP SE: COMPANY SNAPSHOT
TABLE 48. SAP SE: OPERATING SEGMENTS
TABLE 49. SAS INSTITUTE, INC.: COMPANY SNAPSHOT
TABLE 50. SAS INSTITUTE, INC.: OPERATING SEGMENTS
TABLE 51. TABLEAU SOFTWARE, INC.: COMPANY SNAPSHOT
TABLE 52. TABLEAU SOFTWARE, INC.: OPERATING SEGMENTS
TABLE 53. TERADATA CORPORATION: COMPANY SNAPSHOT
TABLE 54. TERADATA CORPORATION: OPERATING SEGMENTS
TABLE 55. TIBCO SOFTWARE, INC.: COMPANY SNAPSHOT
TABLE 56. TIBCO SOFTWARE, INC.: OPERATING SEGMENTS
LIST OF FIGURES
FIGURE 1. GLOBAL PREDICTIVE ANALYTICS IN BANKING MARKET SEGMENTATION
FIGURE 2. TOP INVESTMENT POCKET
FIGURE 3. TOP WINNING STRATEGIES (%)
FIGURE 4. PREDICTIVE ANALYTICS IN BANKING MARKET FOR SOLUTION, 2018-2026 ($MILLION)
FIGURE 5. PREDICTIVE ANALYTICS IN BANKING MARKET FOR SERVICES, 2018-2026 ($MILLION)
FIGURE 6. PREDICTIVE ANALYTICS IN BANKING MARKET FOR ON-PREMISE, 2018-2026 ($MILLION)
FIGURE 7. PREDICTIVE ANALYTICS IN BANKING MARKET FOR CLOUD, 2018-2026 ($MILLION)
FIGURE 8. PREDICTIVE ANALYTICS IN BANKING MARKET FOR LARGE ENTERPRISES, 2018-2026 ($MILLION)
FIGURE 9. PREDICTIVE ANALYTICS IN BANKING MARKET FOR SMES, 2018-2026 ($MILLION)
FIGURE 10. PREDICTIVE ANALYTICS IN BANKING MARKET FOR FRAUD DETECTION PREVENTION, 2018-2026 ($MILLION)
FIGURE 11. PREDICTIVE ANALYTICS IN BANKING MARKET FOR CUSTOMER MANAGEMENT, 2018-2026 ($MILLION)
FIGURE 12. PREDICTIVE ANALYTICS IN BANKING MARKET FOR SALES MARKETING, 2018-2026 ($MILLION)
FIGURE 13. PREDICTIVE ANALYTICS IN BANKING MARKET FOR WORKFORCE MANAGEMENT, 2018-2026 ($MILLION)
FIGURE 14. PREDICTIVE ANALYTICS IN BANKING MARKET FOR OTHERS, 2018-2026 ($MILLION)
FIGURE 15. GLOBAL PREDICTIVE ANALYTICS IN BANKING, BY REGION, 2018 (%)
FIGURE 16. U.S. PREDICTIVE ANALYTICS IN BANKING MARKET, 2018-2026 ($MILLION)
FIGURE 17. CANADA PREDICTIVE ANALYTICS IN BANKING MARKET, 2018-2026 ($MILLION)
FIGURE 18. UK PREDICTIVE ANALYTICS IN BANKING MARKET, 2018-2026 ($MILLION)
FIGURE 19. GERMANY PREDICTIVE ANALYTICS IN BANKING MARKET, 2018-2026 ($MILLION)
FIGURE 20. FRANCE PREDICTIVE ANALYTICS IN BANKING MARKET, 2018-2026 ($MILLION)
FIGURE 21. ITALY PREDICTIVE ANALYTICS IN BANKING MARKET, 2018-2026 ($MILLION)
FIGURE 22. SPAIN PREDICTIVE ANALYTICS IN BANKING MARKET, 2018-2026 ($MILLION)
FIGURE 23. RUSSIA PREDICTIVE ANALYTICS IN BANKING MARKET, 2018-2026 ($MILLION)
FIGURE 24. REST OF EUROPE PREDICTIVE ANALYTICS IN BANKING MARKET, 2018-2026 ($MILLION)
FIGURE 25. CHINA PREDICTIVE ANALYTICS IN BANKING MARKET, 2018-2026 ($MILLION)
FIGURE 26. INDIA PREDICTIVE ANALYTICS IN BANKING MARKET, 2018-2026 ($MILLION)
FIGURE 27. JAPAN PREDICTIVE ANALYTICS IN BANKING MARKET, 2018-2026 ($MILLION)
FIGURE 28. AUSTRALIA PREDICTIVE ANALYTICS IN BANKING MARKET, 2018-2026 ($MILLION)
FIGURE 29. SINGAPORE PREDICTIVE ANALYTICS IN BANKING MARKET, 2018-2026 ($MILLION)
FIGURE 30. SOUTH KOREA PREDICTIVE ANALYTICS IN BANKING MARKET, 2018-2026 ($MILLION)
FIGURE 31. REST OF ASIA-PACIFIC PREDICTIVE ANALYTICS IN BANKING MARKET, 2018-2026 ($MILLION)
FIGURE 32. LATIN AMERICA PREDICTIVE ANALYTICS IN BANKING MARKET, 2018-2026 ($MILLION)
FIGURE 33. MIDDLE EAST PREDICTIVE ANALYTICS IN BANKING MARKET, 2018-2026 ($MILLION)
FIGURE 34. AFRICA PREDICTIVE ANALYTICS IN BANKING MARKET, 2018-2026 ($MILLION)
In accordance with several interviews that were conducted of the top level CXOs, the adoption of predictive analytics in banking has increased over time to deliver better fraud detection strategy as it is now recognized as a success factor for various financial institutions.
Also, the ability of the predictive analytics in banking to identify different threats and preventing possible negative events has led to its increased adoption in the recent years. However, lack of skilled professionals and implementation issues associated with predictive analytics software are the factors that hampers the growth of the market.
The predictive analytics in banking software is consolidated with the presence of key vendors such as IBM Corporation, Microsoft Corporation, SAP SE, and SAS Institute, Inc. North America and Europe are the major end-user regions of these solutions. However, Asia-Pacific is expected to experience significant growth in the near future, owing to growing digitalization among BFSI industry and rise in financial frauds in the developing countries such as China, India, Japan, and more.
Some of the key players profiled in the report include Alteryx, Inc., Fair Isaac Corporation, IBM Corporation, Oracle Corporation, Microsoft corporation, SAP SE, SAS Institute, Inc., Tableau Software, Inc., Teradata Corporation and TIBCO Software, Inc.
Q1. At what CAGR, the Global Predictive Analytics in Banking Market will expand from 2029 - 2026?
A. The Global Predictive Analytics in Banking Market is expected to grow at a CAGR of 20.80% from 2019 to 2026.
Q2. What will be the market value of Global Predictive Analytics in Banking Market by the end of 2026?
A. The Global Predictive Analytics in Banking Market is projected to reach $5.43 billion by 2026.
Q3. How can I get sample report of Predictive Analytics in Banking Market?
A. To get the latest version of sample report
Q4. Which are the Top Impacting Factors that drives the growth of Predictive Analytics in Banking Market?
A. Increase in Adoption of Advanced Technologies For Fraud Detection and Surge in Number of Risk Management Function majorly drives the growth of Predictive Analytics in Banking Market.
Q5. Who are the leading players in Predictive Analytics in Banking Market?
A. The key players profiled 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.
Q6. How can I get company profiles of top ten players of Predictive Analytics in Banking Market?
A. On the basis of top growing big corporations, we select top 10 players.
Q7. What are the segments of Predictive Analytics in Banking Market?
A. The Predictive Analytics in Banking Market is segmented on the basis of component, deployment model, organization size, application, and region.
Q8. What are the key growth strategies of Predictive Analytics in Banking Market Players?
A. The key growth strategies of Predictive Analytics in Banking market players include product portfolio expansion, mergers & acquisitions, agreements, geographical expansion, and collaborations.
Q9. By Application, which segment is expected to dominate the market throughout the forecast period?
A. Customer Management segment is expected to dominate the market throughout the forecast period.
Q10. By Region, which segment would exhibit the highest CAGR during the forecast period?
A. Asia-Pacific region would exhibit the highest CAGR of 23.50% during the forecast period.
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