Please Wait.....
Report
Machine Learning in Banking Market By Component (Solution, Service), By Enterprise Size (Large Enterprises, Small and Medium-sized Enterprises (SMEs)), By Application (Credit Scoring, Risk Management Compliance and Security, Payments and Transactions, Customer Service, Others): Global Opportunity Analysis and Industry Forecast, 2021-2031
Market Report I 2022-08-01 I 270 Pages I Allied Market Research
Machine learning (ML) in banking is transforming the process of transactions, as ML is helping the financial industry to streamline and optimize processes ranging from credit decisions to quantitative trading and financial risk management. In addition, ML is being used to help organizations to improve customer experience and to enhance their market share by enabling frictionless, 24/7 customer interactions. Furthermore, it provides various solutions to the banking sector to replace routine manual work with automation and to increase productivity. Moreover, ML applications offer the greatest cost savings opportunity to banks as it helps in reducing credit default frauds by monitoring suspicious transactions with compliance concerns.
Productivity of banks has improved owing to adoption of machine learning as it reduces the overall costs of banks and financial institutions. Moreover, faster banking operations using machine learning provides quicker responses and results to the organizations. In addition, better risk assessment through machine learning in the banking industry and better customer service boost the growth of the market across the globe. However, factors such as higher cost of implementation of machine learning technology and risk of unemployment owing to adoption of machine learning are limiting the growth of the market. On the contrary, technological advancements in machine learning technology are expected to provide major lucrative opportunities for the growth of the market in the upcoming years.
The global machine learning in banking market is segmented on the basis of component, enterprise size, application, and region. Depending on component, the market is segregated into solution and service. On the basis of enterprise size, it is fragmented into large enterprises and small & medium-sized enterprises (SMEs). As per application, the market is divided into credit scoring, risk management compliance & security, payments & transactions, customer service, and others. Region wise, the market is studied across North America, Europe, Asia-Pacific, and LAMEA.
The key players profiled in the machine learning in banking market analysis are Affirm, Inc., Amazon Web Services, Inc., BigML, Inc., Cisco Systems, Inc., FICO, Google LLC, Mindtree Ltd., Microsoft Corporation, SAP SE, and SPD-Group. These players have adopted various strategies such as product development to increase their market penetration and strengthen their position in the industry.
Key Benefits For Stakeholders
-This report provides a quantitative analysis of the market segments, current trends, estimations, and dynamics of the machine learning in banking market analysis from 2021 to 2031 to identify the prevailing machine learning in banking market opportunities.
-The market research is offered along with information related to key drivers, restraints, and opportunities.
-Porter's five forces analysis highlights the potency of buyers and suppliers to enable stakeholders make profit-oriented business decisions and strengthen their supplier-buyer network.
-In-depth analysis of the machine learning in banking market segmentation assists to determine the prevailing market opportunities.
-Major countries in each region are mapped according to their revenue contribution to the global market.
-Market player positioning facilitates benchmarking and provides a clear understanding of the present position of the market players.
-The report includes the analysis of the regional as well as global machine learning in banking market trends, key players, market segments, application areas, and market growth strategies.
Key Market Segments
By Component
- Solution
- Service
By Enterprise Size
- Large Enterprises
- Small and Medium-sized Enterprises (SMEs)
By Application
- Credit Scoring
- Risk Management Compliance and Security
- Payments and Transactions
- Customer Service
- Others
By Region
- North America
- U.S.
- Canada
- Europe
- UK
- Germany
- France
- Italy
- Spain
- Netherlands
- Rest of Europe
- Asia-Pacific
- China
- Japan
- India
- Australia
- South Korea
- Rest of Asia-Pacific
- LAMEA
- Latin America
- Middle East
- Africa
- Key Market Players
- Affirm, Inc.
- Amazon Web Services, Inc.
- Big ML, Inc.
- Cisco Systems, Inc.
- FICO
- Google LLC
- Mindtree
- Microsoft
- SAP SE
- SPD-Group
CHAPTER 1:INTRODUCTION
1.1.Report description
1.2.Key market segments
1.3.Key benefits to the stakeholders
1.4.Research Methodology
1.4.1.Secondary research
1.4.2.Primary research
1.4.3.Analyst tools and models
CHAPTER 2:EXECUTIVE SUMMARY
2.1.Key findings of the study
2.2.CXO Perspective
CHAPTER 3:MARKET OVERVIEW
3.1.Market definition and scope
3.2.Key findings
3.2.1.Top investment pockets
3.3.Porter's five forces analysis
3.4.Top player positioning
3.5.Market dynamics
3.5.1.Drivers
3.5.2.Restraints
3.5.3.Opportunities
3.6.COVID-19 Impact Analysis on the market
CHAPTER 4: MACHINE LEARNING IN BANKING MARKET, BY COMPONENT
4.1 Overview
4.1.1 Market size and forecast
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 Service
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: MACHINE LEARNING IN BANKING MARKET, BY ENTERPRISE SIZE
5.1 Overview
5.1.1 Market size and forecast
5.2 Large Enterprises
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 Small and Medium-sized Enterprises (SMEs)
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: MACHINE LEARNING IN BANKING MARKET, BY APPLICATION
6.1 Overview
6.1.1 Market size and forecast
6.2 Credit Scoring
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 Risk Management Compliance and Security
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
6.4 Payments and Transactions
6.4.1 Key market trends, growth factors and opportunities
6.4.2 Market size and forecast, by region
6.4.3 Market analysis by country
6.5 Customer Service
6.5.1 Key market trends, growth factors and opportunities
6.5.2 Market size and forecast, by region
6.5.3 Market analysis by country
6.6 Others
6.6.1 Key market trends, growth factors and opportunities
6.6.2 Market size and forecast, by region
6.6.3 Market analysis by country
CHAPTER 7: MACHINE LEARNING IN BANKING MARKET, BY REGION
7.1 Overview
7.1.1 Market size and forecast
7.2 North America
7.2.1 Key trends and opportunities
7.2.2 North America Market size and forecast, by Component
7.2.3 North America Market size and forecast, by Enterprise Size
7.2.4 North America Market size and forecast, by Application
7.2.5 North America Market size and forecast, by country
7.2.5.1 U.S.
7.2.5.1.1 Market size and forecast, by Component
7.2.5.1.2 Market size and forecast, by Enterprise Size
7.2.5.1.3 Market size and forecast, by Application
7.2.5.2 Canada
7.2.5.2.1 Market size and forecast, by Component
7.2.5.2.2 Market size and forecast, by Enterprise Size
7.2.5.2.3 Market size and forecast, by Application
7.3 Europe
7.3.1 Key trends and opportunities
7.3.2 Europe Market size and forecast, by Component
7.3.3 Europe Market size and forecast, by Enterprise Size
7.3.4 Europe Market size and forecast, by Application
7.3.5 Europe Market size and forecast, by country
7.3.5.1 UK
7.3.5.1.1 Market size and forecast, by Component
7.3.5.1.2 Market size and forecast, by Enterprise Size
7.3.5.1.3 Market size and forecast, by Application
7.3.5.2 Germany
7.3.5.2.1 Market size and forecast, by Component
7.3.5.2.2 Market size and forecast, by Enterprise Size
7.3.5.2.3 Market size and forecast, by Application
7.3.5.3 France
7.3.5.3.1 Market size and forecast, by Component
7.3.5.3.2 Market size and forecast, by Enterprise Size
7.3.5.3.3 Market size and forecast, by Application
7.3.5.4 Italy
7.3.5.4.1 Market size and forecast, by Component
7.3.5.4.2 Market size and forecast, by Enterprise Size
7.3.5.4.3 Market size and forecast, by Application
7.3.5.5 Spain
7.3.5.5.1 Market size and forecast, by Component
7.3.5.5.2 Market size and forecast, by Enterprise Size
7.3.5.5.3 Market size and forecast, by Application
7.3.5.6 Netherlands
7.3.5.6.1 Market size and forecast, by Component
7.3.5.6.2 Market size and forecast, by Enterprise Size
7.3.5.6.3 Market size and forecast, by Application
7.3.5.7 Rest of Europe
7.3.5.7.1 Market size and forecast, by Component
7.3.5.7.2 Market size and forecast, by Enterprise Size
7.3.5.7.3 Market size and forecast, by Application
7.4 Asia-Pacific
7.4.1 Key trends and opportunities
7.4.2 Asia-Pacific Market size and forecast, by Component
7.4.3 Asia-Pacific Market size and forecast, by Enterprise Size
7.4.4 Asia-Pacific Market size and forecast, by Application
7.4.5 Asia-Pacific Market size and forecast, by country
7.4.5.1 China
7.4.5.1.1 Market size and forecast, by Component
7.4.5.1.2 Market size and forecast, by Enterprise Size
7.4.5.1.3 Market size and forecast, by Application
7.4.5.2 Japan
7.4.5.2.1 Market size and forecast, by Component
7.4.5.2.2 Market size and forecast, by Enterprise Size
7.4.5.2.3 Market size and forecast, by Application
7.4.5.3 India
7.4.5.3.1 Market size and forecast, by Component
7.4.5.3.2 Market size and forecast, by Enterprise Size
7.4.5.3.3 Market size and forecast, by Application
7.4.5.4 Australia
7.4.5.4.1 Market size and forecast, by Component
7.4.5.4.2 Market size and forecast, by Enterprise Size
7.4.5.4.3 Market size and forecast, by Application
7.4.5.5 South Korea
7.4.5.5.1 Market size and forecast, by Component
7.4.5.5.2 Market size and forecast, by Enterprise Size
7.4.5.5.3 Market size and forecast, by Application
7.4.5.6 Rest of Asia-Pacific
7.4.5.6.1 Market size and forecast, by Component
7.4.5.6.2 Market size and forecast, by Enterprise Size
7.4.5.6.3 Market size and forecast, by Application
7.5 LAMEA
7.5.1 Key trends and opportunities
7.5.2 LAMEA Market size and forecast, by Component
7.5.3 LAMEA Market size and forecast, by Enterprise Size
7.5.4 LAMEA Market size and forecast, by Application
7.5.5 LAMEA Market size and forecast, by country
7.5.5.1 Latin America
7.5.5.1.1 Market size and forecast, by Component
7.5.5.1.2 Market size and forecast, by Enterprise Size
7.5.5.1.3 Market size and forecast, by Application
7.5.5.2 Middle East
7.5.5.2.1 Market size and forecast, by Component
7.5.5.2.2 Market size and forecast, by Enterprise Size
7.5.5.2.3 Market size and forecast, by Application
7.5.5.3 Africa
7.5.5.3.1 Market size and forecast, by Component
7.5.5.3.2 Market size and forecast, by Enterprise Size
7.5.5.3.3 Market size and forecast, by Application
CHAPTER 8: COMPANY LANDSCAPE
8.1. Introduction
8.2. Top winning strategies
8.3. Product Mapping of Top 10 Player
8.4. Competitive Dashboard
8.5. Competitive Heatmap
8.6. Key developments
CHAPTER 9: COMPANY PROFILES
9.1 Affirm, Inc.
9.1.1 Company overview
9.1.2 Company snapshot
9.1.3 Operating business segments
9.1.4 Product portfolio
9.1.5 Business performance
9.1.6 Key strategic moves and developments
9.2 Amazon Web Services, Inc.
9.2.1 Company overview
9.2.2 Company snapshot
9.2.3 Operating business segments
9.2.4 Product portfolio
9.2.5 Business performance
9.2.6 Key strategic moves and developments
9.3 Big ML, Inc.
9.3.1 Company overview
9.3.2 Company snapshot
9.3.3 Operating business segments
9.3.4 Product portfolio
9.3.5 Business performance
9.3.6 Key strategic moves and developments
9.4 Cisco Systems, Inc.
9.4.1 Company overview
9.4.2 Company snapshot
9.4.3 Operating business segments
9.4.4 Product portfolio
9.4.5 Business performance
9.4.6 Key strategic moves and developments
9.5 FICO
9.5.1 Company overview
9.5.2 Company snapshot
9.5.3 Operating business segments
9.5.4 Product portfolio
9.5.5 Business performance
9.5.6 Key strategic moves and developments
9.6 Google LLC
9.6.1 Company overview
9.6.2 Company snapshot
9.6.3 Operating business segments
9.6.4 Product portfolio
9.6.5 Business performance
9.6.6 Key strategic moves and developments
9.7 Mindtree
9.7.1 Company overview
9.7.2 Company snapshot
9.7.3 Operating business segments
9.7.4 Product portfolio
9.7.5 Business performance
9.7.6 Key strategic moves and developments
9.8 Microsoft
9.8.1 Company overview
9.8.2 Company snapshot
9.8.3 Operating business segments
9.8.4 Product portfolio
9.8.5 Business performance
9.8.6 Key strategic moves and developments
9.9 SAP SE
9.9.1 Company overview
9.9.2 Company snapshot
9.9.3 Operating business segments
9.9.4 Product portfolio
9.9.5 Business performance
9.9.6 Key strategic moves and developments
9.10 SPD-Group
9.10.1 Company overview
9.10.2 Company snapshot
9.10.3 Operating business segments
9.10.4 Product portfolio
9.10.5 Business performance
9.10.6 Key strategic moves and developments
LIST OF TABLES
TABLE 1. GLOBAL MACHINE LEARNING IN BANKING MARKET, BY COMPONENT, 2021-2031 ($MILLION)
TABLE 2. MACHINE LEARNING IN BANKING MARKET SIZE, FOR SOLUTION, BY REGION, 2021-2031 ($MILLION)
TABLE 3. MACHINE LEARNING IN BANKING MARKET FOR SOLUTION, BY COUNTRY, 2021-2031 ($MILLION)
TABLE 4. MACHINE LEARNING IN BANKING MARKET SIZE, FOR SERVICE, BY REGION, 2021-2031 ($MILLION)
TABLE 5. MACHINE LEARNING IN BANKING MARKET FOR SERVICE, BY COUNTRY, 2021-2031 ($MILLION)
TABLE 6. GLOBAL MACHINE LEARNING IN BANKING MARKET, BY ENTERPRISE SIZE, 2021-2031 ($MILLION)
TABLE 7. MACHINE LEARNING IN BANKING MARKET SIZE, FOR LARGE ENTERPRISES, BY REGION, 2021-2031 ($MILLION)
TABLE 8. MACHINE LEARNING IN BANKING MARKET FOR LARGE ENTERPRISES, BY COUNTRY, 2021-2031 ($MILLION)
TABLE 9. MACHINE LEARNING IN BANKING MARKET SIZE, FOR SMALL AND MEDIUM-SIZED ENTERPRISES (SMES), BY REGION, 2021-2031 ($MILLION)
TABLE 10. MACHINE LEARNING IN BANKING MARKET FOR SMALL AND MEDIUM-SIZED ENTERPRISES (SMES), BY COUNTRY, 2021-2031 ($MILLION)
TABLE 11. GLOBAL MACHINE LEARNING IN BANKING MARKET, BY APPLICATION, 2021-2031 ($MILLION)
TABLE 12. MACHINE LEARNING IN BANKING MARKET SIZE, FOR CREDIT SCORING, BY REGION, 2021-2031 ($MILLION)
TABLE 13. MACHINE LEARNING IN BANKING MARKET FOR CREDIT SCORING, BY COUNTRY, 2021-2031 ($MILLION)
TABLE 14. MACHINE LEARNING IN BANKING MARKET SIZE, FOR RISK MANAGEMENT COMPLIANCE AND SECURITY, BY REGION, 2021-2031 ($MILLION)
TABLE 15. MACHINE LEARNING IN BANKING MARKET FOR RISK MANAGEMENT COMPLIANCE AND SECURITY, BY COUNTRY, 2021-2031 ($MILLION)
TABLE 16. MACHINE LEARNING IN BANKING MARKET SIZE, FOR PAYMENTS AND TRANSACTIONS, BY REGION, 2021-2031 ($MILLION)
TABLE 17. MACHINE LEARNING IN BANKING MARKET FOR PAYMENTS AND TRANSACTIONS, BY COUNTRY, 2021-2031 ($MILLION)
TABLE 18. MACHINE LEARNING IN BANKING MARKET SIZE, FOR CUSTOMER SERVICE, BY REGION, 2021-2031 ($MILLION)
TABLE 19. MACHINE LEARNING IN BANKING MARKET FOR CUSTOMER SERVICE, BY COUNTRY, 2021-2031 ($MILLION)
TABLE 20. MACHINE LEARNING IN BANKING MARKET SIZE, FOR OTHERS, BY REGION, 2021-2031 ($MILLION)
TABLE 21. MACHINE LEARNING IN BANKING MARKET FOR OTHERS, BY COUNTRY, 2021-2031 ($MILLION)
TABLE 22. MACHINE LEARNING IN BANKING MARKET, BY REGION, 2021-2031 ($MILLION)
TABLE 23. NORTH AMERICA MACHINE LEARNING IN BANKING MARKET, BY COMPONENT, 2021-2031 ($MILLION)
TABLE 24. NORTH AMERICA MACHINE LEARNING IN BANKING MARKET, BY ENTERPRISE SIZE, 2021-2031 ($MILLION)
TABLE 25. NORTH AMERICA MACHINE LEARNING IN BANKING MARKET, BY APPLICATION, 2021-2031 ($MILLION)
TABLE 26. NORTH AMERICA MACHINE LEARNING IN BANKING MARKET, BY COUNTRY, 2021-2031 ($MILLION)
TABLE 27. U.S. MACHINE LEARNING IN BANKING MARKET, BY COMPONENT, 2021-2031 ($MILLION)
TABLE 28. U.S. MACHINE LEARNING IN BANKING MARKET, BY ENTERPRISE SIZE, 2021-2031 ($MILLION)
TABLE 29. U.S. MACHINE LEARNING IN BANKING MARKET, BY APPLICATION, 2021-2031 ($MILLION)
TABLE 30. CANADA MACHINE LEARNING IN BANKING MARKET, BY COMPONENT, 2021-2031 ($MILLION)
TABLE 31. CANADA MACHINE LEARNING IN BANKING MARKET, BY ENTERPRISE SIZE, 2021-2031 ($MILLION)
TABLE 32. CANADA MACHINE LEARNING IN BANKING MARKET, BY APPLICATION, 2021-2031 ($MILLION)
TABLE 33. EUROPE MACHINE LEARNING IN BANKING MARKET, BY COMPONENT, 2021-2031 ($MILLION)
TABLE 34. EUROPE MACHINE LEARNING IN BANKING MARKET, BY ENTERPRISE SIZE, 2021-2031 ($MILLION)
TABLE 35. EUROPE MACHINE LEARNING IN BANKING MARKET, BY APPLICATION, 2021-2031 ($MILLION)
TABLE 36. EUROPE MACHINE LEARNING IN BANKING MARKET, BY COUNTRY, 2021-2031 ($MILLION)
TABLE 37. UK MACHINE LEARNING IN BANKING MARKET, BY COMPONENT, 2021-2031 ($MILLION)
TABLE 38. UK MACHINE LEARNING IN BANKING MARKET, BY ENTERPRISE SIZE, 2021-2031 ($MILLION)
TABLE 39. UK MACHINE LEARNING IN BANKING MARKET, BY APPLICATION, 2021-2031 ($MILLION)
TABLE 40. GERMANY MACHINE LEARNING IN BANKING MARKET, BY COMPONENT, 2021-2031 ($MILLION)
TABLE 41. GERMANY MACHINE LEARNING IN BANKING MARKET, BY ENTERPRISE SIZE, 2021-2031 ($MILLION)
TABLE 42. GERMANY MACHINE LEARNING IN BANKING MARKET, BY APPLICATION, 2021-2031 ($MILLION)
TABLE 43. FRANCE MACHINE LEARNING IN BANKING MARKET, BY COMPONENT, 2021-2031 ($MILLION)
TABLE 44. FRANCE MACHINE LEARNING IN BANKING MARKET, BY ENTERPRISE SIZE, 2021-2031 ($MILLION)
TABLE 45. FRANCE MACHINE LEARNING IN BANKING MARKET, BY APPLICATION, 2021-2031 ($MILLION)
TABLE 46. ITALY MACHINE LEARNING IN BANKING MARKET, BY COMPONENT, 2021-2031 ($MILLION)
TABLE 47. ITALY MACHINE LEARNING IN BANKING MARKET, BY ENTERPRISE SIZE, 2021-2031 ($MILLION)
TABLE 48. ITALY MACHINE LEARNING IN BANKING MARKET, BY APPLICATION, 2021-2031 ($MILLION)
TABLE 49. SPAIN MACHINE LEARNING IN BANKING MARKET, BY COMPONENT, 2021-2031 ($MILLION)
TABLE 50. SPAIN MACHINE LEARNING IN BANKING MARKET, BY ENTERPRISE SIZE, 2021-2031 ($MILLION)
TABLE 51. SPAIN MACHINE LEARNING IN BANKING MARKET, BY APPLICATION, 2021-2031 ($MILLION)
TABLE 52. NETHERLANDS MACHINE LEARNING IN BANKING MARKET, BY COMPONENT, 2021-2031 ($MILLION)
TABLE 53. NETHERLANDS MACHINE LEARNING IN BANKING MARKET, BY ENTERPRISE SIZE, 2021-2031 ($MILLION)
TABLE 54. NETHERLANDS MACHINE LEARNING IN BANKING MARKET, BY APPLICATION, 2021-2031 ($MILLION)
TABLE 55. REST OF EUROPE MACHINE LEARNING IN BANKING MARKET, BY COMPONENT, 2021-2031 ($MILLION)
TABLE 56. REST OF EUROPE MACHINE LEARNING IN BANKING MARKET, BY ENTERPRISE SIZE, 2021-2031 ($MILLION)
TABLE 57. REST OF EUROPE MACHINE LEARNING IN BANKING MARKET, BY APPLICATION, 2021-2031 ($MILLION)
TABLE 58. ASIA-PACIFIC MACHINE LEARNING IN BANKING MARKET, BY COMPONENT, 2021-2031 ($MILLION)
TABLE 59. ASIA-PACIFIC MACHINE LEARNING IN BANKING MARKET, BY ENTERPRISE SIZE, 2021-2031 ($MILLION)
TABLE 60. ASIA-PACIFIC MACHINE LEARNING IN BANKING MARKET, BY APPLICATION, 2021-2031 ($MILLION)
TABLE 61. ASIA-PACIFIC MACHINE LEARNING IN BANKING MARKET, BY COUNTRY, 2021-2031 ($MILLION)
TABLE 62. CHINA MACHINE LEARNING IN BANKING MARKET, BY COMPONENT, 2021-2031 ($MILLION)
TABLE 63. CHINA MACHINE LEARNING IN BANKING MARKET, BY ENTERPRISE SIZE, 2021-2031 ($MILLION)
TABLE 64. CHINA MACHINE LEARNING IN BANKING MARKET, BY APPLICATION, 2021-2031 ($MILLION)
TABLE 65. JAPAN MACHINE LEARNING IN BANKING MARKET, BY COMPONENT, 2021-2031 ($MILLION)
TABLE 66. JAPAN MACHINE LEARNING IN BANKING MARKET, BY ENTERPRISE SIZE, 2021-2031 ($MILLION)
TABLE 67. JAPAN MACHINE LEARNING IN BANKING MARKET, BY APPLICATION, 2021-2031 ($MILLION)
TABLE 68. INDIA MACHINE LEARNING IN BANKING MARKET, BY COMPONENT, 2021-2031 ($MILLION)
TABLE 69. INDIA MACHINE LEARNING IN BANKING MARKET, BY ENTERPRISE SIZE, 2021-2031 ($MILLION)
TABLE 70. INDIA MACHINE LEARNING IN BANKING MARKET, BY APPLICATION, 2021-2031 ($MILLION)
TABLE 71. AUSTRALIA MACHINE LEARNING IN BANKING MARKET, BY COMPONENT, 2021-2031 ($MILLION)
TABLE 72. AUSTRALIA MACHINE LEARNING IN BANKING MARKET, BY ENTERPRISE SIZE, 2021-2031 ($MILLION)
TABLE 73. AUSTRALIA MACHINE LEARNING IN BANKING MARKET, BY APPLICATION, 2021-2031 ($MILLION)
TABLE 74. SOUTH KOREA MACHINE LEARNING IN BANKING MARKET, BY COMPONENT, 2021-2031 ($MILLION)
TABLE 75. SOUTH KOREA MACHINE LEARNING IN BANKING MARKET, BY ENTERPRISE SIZE, 2021-2031 ($MILLION)
TABLE 76. SOUTH KOREA MACHINE LEARNING IN BANKING MARKET, BY APPLICATION, 2021-2031 ($MILLION)
TABLE 77. REST OF ASIA-PACIFIC MACHINE LEARNING IN BANKING MARKET, BY COMPONENT, 2021-2031 ($MILLION)
TABLE 78. REST OF ASIA-PACIFIC MACHINE LEARNING IN BANKING MARKET, BY ENTERPRISE SIZE, 2021-2031 ($MILLION)
TABLE 79. REST OF ASIA-PACIFIC MACHINE LEARNING IN BANKING MARKET, BY APPLICATION, 2021-2031 ($MILLION)
TABLE 80. LAMEA MACHINE LEARNING IN BANKING MARKET, BY COMPONENT, 2021-2031 ($MILLION)
TABLE 81. LAMEA MACHINE LEARNING IN BANKING MARKET, BY ENTERPRISE SIZE, 2021-2031 ($MILLION)
TABLE 82. LAMEA MACHINE LEARNING IN BANKING MARKET, BY APPLICATION, 2021-2031 ($MILLION)
TABLE 83. LAMEA MACHINE LEARNING IN BANKING MARKET, BY COUNTRY, 2021-2031 ($MILLION)
TABLE 84. LATIN AMERICA MACHINE LEARNING IN BANKING MARKET, BY COMPONENT, 2021-2031 ($MILLION)
TABLE 85. LATIN AMERICA MACHINE LEARNING IN BANKING MARKET, BY ENTERPRISE SIZE, 2021-2031 ($MILLION)
TABLE 86. LATIN AMERICA MACHINE LEARNING IN BANKING MARKET, BY APPLICATION, 2021-2031 ($MILLION)
TABLE 87. MIDDLE EAST MACHINE LEARNING IN BANKING MARKET, BY COMPONENT, 2021-2031 ($MILLION)
TABLE 88. MIDDLE EAST MACHINE LEARNING IN BANKING MARKET, BY ENTERPRISE SIZE, 2021-2031 ($MILLION)
TABLE 89. MIDDLE EAST MACHINE LEARNING IN BANKING MARKET, BY APPLICATION, 2021-2031 ($MILLION)
TABLE 90. AFRICA MACHINE LEARNING IN BANKING MARKET, BY COMPONENT, 2021-2031 ($MILLION)
TABLE 91. AFRICA MACHINE LEARNING IN BANKING MARKET, BY ENTERPRISE SIZE, 2021-2031 ($MILLION)
TABLE 92. AFRICA MACHINE LEARNING IN BANKING MARKET, BY APPLICATION, 2021-2031 ($MILLION)
TABLE 93.AFFIRM, INC.: COMPANY SNAPSHOT
TABLE 94.AFFIRM, INC.: OPERATING SEGMENTS
TABLE 95.AFFIRM, INC.: PRODUCT PORTFOLIO
TABLE 96.AFFIRM, INC.: NET SALES,
TABLE 97.AFFIRM, INC.: KEY STRATERGIES
TABLE 98.AMAZON WEB SERVICES, INC.: COMPANY SNAPSHOT
TABLE 99.AMAZON WEB SERVICES, INC.: OPERATING SEGMENTS
TABLE 100.AMAZON WEB SERVICES, INC.: PRODUCT PORTFOLIO
TABLE 101.AMAZON WEB SERVICES, INC.: NET SALES,
TABLE 102.AMAZON WEB SERVICES, INC.: KEY STRATERGIES
TABLE 103.BIG ML, INC.: COMPANY SNAPSHOT
TABLE 104.BIG ML, INC.: OPERATING SEGMENTS
TABLE 105.BIG ML, INC.: PRODUCT PORTFOLIO
TABLE 106.BIG ML, INC.: NET SALES,
TABLE 107.BIG ML, INC.: KEY STRATERGIES
TABLE 108.CISCO SYSTEMS, INC.: COMPANY SNAPSHOT
TABLE 109.CISCO SYSTEMS, INC.: OPERATING SEGMENTS
TABLE 110.CISCO SYSTEMS, INC.: PRODUCT PORTFOLIO
TABLE 111.CISCO SYSTEMS, INC.: NET SALES,
TABLE 112.CISCO SYSTEMS, INC.: KEY STRATERGIES
TABLE 113.FICO: COMPANY SNAPSHOT
TABLE 114.FICO: OPERATING SEGMENTS
TABLE 115.FICO: PRODUCT PORTFOLIO
TABLE 116.FICO: NET SALES,
TABLE 117.FICO: KEY STRATERGIES
TABLE 118.GOOGLE LLC: COMPANY SNAPSHOT
TABLE 119.GOOGLE LLC: OPERATING SEGMENTS
TABLE 120.GOOGLE LLC: PRODUCT PORTFOLIO
TABLE 121.GOOGLE LLC: NET SALES,
TABLE 122.GOOGLE LLC: KEY STRATERGIES
TABLE 123.MINDTREE: COMPANY SNAPSHOT
TABLE 124.MINDTREE: OPERATING SEGMENTS
TABLE 125.MINDTREE: PRODUCT PORTFOLIO
TABLE 126.MINDTREE: NET SALES,
TABLE 127.MINDTREE: KEY STRATERGIES
TABLE 128.MICROSOFT: COMPANY SNAPSHOT
TABLE 129.MICROSOFT: OPERATING SEGMENTS
TABLE 130.MICROSOFT: PRODUCT PORTFOLIO
TABLE 131.MICROSOFT: NET SALES,
TABLE 132.MICROSOFT: KEY STRATERGIES
TABLE 133.SAP SE: COMPANY SNAPSHOT
TABLE 134.SAP SE: OPERATING SEGMENTS
TABLE 135.SAP SE: PRODUCT PORTFOLIO
TABLE 136.SAP SE: NET SALES,
TABLE 137.SAP SE: KEY STRATERGIES
TABLE 138.SPD-GROUP: COMPANY SNAPSHOT
TABLE 139.SPD-GROUP: OPERATING SEGMENTS
TABLE 140.SPD-GROUP: PRODUCT PORTFOLIO
TABLE 141.SPD-GROUP: NET SALES,
TABLE 142.SPD-GROUP: KEY STRATERGIES
LIST OF FIGURES
FIGURE 1.MACHINE LEARNING IN BANKING MARKET SEGMENTATION
FIGURE 2.MACHINE LEARNING IN BANKING MARKET,2021-2031
FIGURE 3.MACHINE LEARNING IN BANKING MARKET,2021-2031
FIGURE 4. TOP INVESTMENT POCKETS, BY REGION
FIGURE 5.PORTER FIVE-1
FIGURE 6.PORTER FIVE-2
FIGURE 7.PORTER FIVE-3
FIGURE 8.PORTER FIVE-4
FIGURE 9.PORTER FIVE-5
FIGURE 10.TOP PLAYER POSITIONING
FIGURE 11.MACHINE LEARNING IN BANKING MARKET:DRIVERS, RESTRAINTS AND OPPORTUNITIES
FIGURE 12.MACHINE LEARNING IN BANKING MARKET,BY COMPONENT,2021(%)
FIGURE 13.COMPARATIVE SHARE ANALYSIS OF SOLUTION MACHINE LEARNING IN BANKING MARKET,2021-2031(%)
FIGURE 14.COMPARATIVE SHARE ANALYSIS OF SERVICE MACHINE LEARNING IN BANKING MARKET,2021-2031(%)
FIGURE 15.MACHINE LEARNING IN BANKING MARKET,BY ENTERPRISE SIZE,2021(%)
FIGURE 16.COMPARATIVE SHARE ANALYSIS OF LARGE ENTERPRISES MACHINE LEARNING IN BANKING MARKET,2021-2031(%)
FIGURE 17.COMPARATIVE SHARE ANALYSIS OF SMALL AND MEDIUM-SIZED ENTERPRISES (SMES) MACHINE LEARNING IN BANKING MARKET,2021-2031(%)
FIGURE 18.MACHINE LEARNING IN BANKING MARKET,BY APPLICATION,2021(%)
FIGURE 19.COMPARATIVE SHARE ANALYSIS OF CREDIT SCORING MACHINE LEARNING IN BANKING MARKET,2021-2031(%)
FIGURE 20.COMPARATIVE SHARE ANALYSIS OF RISK MANAGEMENT COMPLIANCE AND SECURITY MACHINE LEARNING IN BANKING MARKET,2021-2031(%)
FIGURE 21.COMPARATIVE SHARE ANALYSIS OF PAYMENTS AND TRANSACTIONS MACHINE LEARNING IN BANKING MARKET,2021-2031(%)
FIGURE 22.COMPARATIVE SHARE ANALYSIS OF CUSTOMER SERVICE MACHINE LEARNING IN BANKING MARKET,2021-2031(%)
FIGURE 23.COMPARATIVE SHARE ANALYSIS OF OTHERS MACHINE LEARNING IN BANKING MARKET,2021-2031(%)
FIGURE 24.MACHINE LEARNING IN BANKING MARKET BY REGION,2021
FIGURE 25.U.S. MACHINE LEARNING IN BANKING MARKET,2021-2031($MILLION)
FIGURE 26.CANADA MACHINE LEARNING IN BANKING MARKET,2021-2031($MILLION)
FIGURE 27.UK MACHINE LEARNING IN BANKING MARKET,2021-2031($MILLION)
FIGURE 28.GERMANY MACHINE LEARNING IN BANKING MARKET,2021-2031($MILLION)
FIGURE 29.FRANCE MACHINE LEARNING IN BANKING MARKET,2021-2031($MILLION)
FIGURE 30.ITALY MACHINE LEARNING IN BANKING MARKET,2021-2031($MILLION)
FIGURE 31.SPAIN MACHINE LEARNING IN BANKING MARKET,2021-2031($MILLION)
FIGURE 32.NETHERLANDS MACHINE LEARNING IN BANKING MARKET,2021-2031($MILLION)
FIGURE 33.REST OF EUROPE MACHINE LEARNING IN BANKING MARKET,2021-2031($MILLION)
FIGURE 34.CHINA MACHINE LEARNING IN BANKING MARKET,2021-2031($MILLION)
FIGURE 35.JAPAN MACHINE LEARNING IN BANKING MARKET,2021-2031($MILLION)
FIGURE 36.INDIA MACHINE LEARNING IN BANKING MARKET,2021-2031($MILLION)
FIGURE 37.AUSTRALIA MACHINE LEARNING IN BANKING MARKET,2021-2031($MILLION)
FIGURE 38.SOUTH KOREA MACHINE LEARNING IN BANKING MARKET,2021-2031($MILLION)
FIGURE 39.REST OF ASIA-PACIFIC MACHINE LEARNING IN BANKING MARKET,2021-2031($MILLION)
FIGURE 40.LATIN AMERICA MACHINE LEARNING IN BANKING MARKET,2021-2031($MILLION)
FIGURE 41.MIDDLE EAST MACHINE LEARNING IN BANKING MARKET,2021-2031($MILLION)
FIGURE 42.AFRICA MACHINE LEARNING IN BANKING MARKET,2021-2031($MILLION)
FIGURE 43. TOP WINNING STRATEGIES, BY YEAR
FIGURE 44. TOP WINNING STRATEGIES, BY DEVELOPMENT
FIGURE 45. TOP WINNING STRATEGIES, BY COMPANY
FIGURE 46.PRODUCT MAPPING OF TOP 10 PLAYERS
FIGURE 47.COMPETITIVE DASHBOARD
FIGURE 48.COMPETITIVE HEATMAP OF TOP 10 KEY PLAYERS
FIGURE 49.AFFIRM, INC..: NET SALES ,($MILLION)
FIGURE 50.AMAZON WEB SERVICES, INC..: NET SALES ,($MILLION)
FIGURE 51.BIG ML, INC..: NET SALES ,($MILLION)
FIGURE 52.CISCO SYSTEMS, INC..: NET SALES ,($MILLION)
FIGURE 53.FICO.: NET SALES ,($MILLION)
FIGURE 54.GOOGLE LLC.: NET SALES ,($MILLION)
FIGURE 55.MINDTREE.: NET SALES ,($MILLION)
FIGURE 56.MICROSOFT.: NET SALES ,($MILLION)
FIGURE 57.SAP SE.: NET SALES ,($MILLION)
FIGURE 58.SPD-GROUP.: NET SALES ,($MILLION)
- Not Sure / Need Reassuring
- Confirm Content
-
Content is provided by our partners and every effort is made to make Market Report details as clear as possible. If you are not sure the exact content you require is included in this study you can Contact us to double check. To do this you can:
Use the ‘? ASK A QUESTION’ below the license / prices and to the right of this box. This will come directly to our team who will work on dealing with your request as soon as possible.
Write to directly on support@scotts-international.com with details. Please include as much information as possible including the name of report or link so our staff will be able to work on you request.
Telephone us directly on 0048 603 394 346 and an experienced member of team will be on hand to answer.
-
- Sample Pages
-
With the vast majority of our partners we can obtain Sample Pages to support your decision. This is something we can arrange without revealing your personal details.
It is important to note that we will not be able to provide you the exact data or statistics such as Market Size and Forecasts. Sample pages usually confirm the layout or the Categories included in Charts and Graphs, excluding specific data.
To ask for Sample Pages by contact us through ‘? ASK A QUESTION’, support@scotts-international.com, or by telephoning 0048 603 394 346.
-
- Check for Alternatives
-
Whilst we try to make our online platform as easy to use as possible there is always the possibility that a better alternative has not been found in your search.
To avoid this possibility Contact us through ‘? ASK A QUESTION’, support@scotts-international.com, or by telephoning 0048 603 394 346 and a Senior Team Member can review your requirements and send a list of possibilities with opinions and recommendations.
-
- Confirm Content
- Prices / Formats / Delivery
- Prices
-
All prices are set by our partners and should be exactly the same as those listed on their own websites. We work on a Revenue share basis ensuring that you never pay more than what is offered elsewhere.
Should you find the price cheaper on another platform we recommend you to Contact us as we should be able to match this price. You can Contact us though through ‘? ASK A QUESTION’, support@scotts-international.com, or by telephoning 0048 603 394 346.
-
- Discounts
-
As we work in close partnership with our Partners from time to time we can secure discounts and assist with negotiations, this is part of our personalised service to you.
Discounts can sometimes be arranged for speedily placed orders; multiple report purchases or Higher License purchases.
To check if a Discount is possible please Contact our experienced team through ‘? ASK A QUESTION’, support@scotts-international.com, or by telephoning 0048 603 394 346.
-
- Available Currencies
-
Most Market Reports on our platform are listed in USD or EURO based on the wishes of our Partners. To avoid currency fluctuations and potential price differentiations we do not offer the possibility to change the currency online.
Should you wish to pay in a different currency to that advertised online we do accept payments in USD, EURO, GBP and PLN. The price will be calculated based on the relevant exchange rate taken from our National Bank.
To pay in a different above currency to that advertised online please Contact our team and a quotation will be sent within a couple of hours with payment details.
-
- Licenses
-
License options vary from Partner to Partner as is usually based on the number of Users that will benefitting from the report. It is very important that License ordered is not breached as this could have potential negative consequences for you individually or your employer.
If you have questions or need confirmation about the specific license we recommend you to Contact us and a detailed explanation will be provided.
-
- Global Site License
-
The Global Site License is the most comprehensive license available. By selecting this license, the Market Report can be shared with other ‘Allowed Users’ and any other member of staff from the same organisation regardless of geographic location.
It is important to note that this may exclude Parent Companies or Subsidiaries.
If you have questions or need confirmation about the specific license we recommend you to Contact us and a detailed explanation will be provided.
-
- Formats
-
The most common format is PDF, however in certain circumstances data may be present in Excel format or Online, especially in the case of Database or Directories. In addition, for certain higher license options a CD may also be provided.
If you have questions or need clarification about the specific formats we recommend you to Contact us and a detailed explanation will be provided.
-
- Delivery
-
Delivery is fulfilled by our partners directly. Once an order has been placed we inform the partner by sharing the delivery email details given in the order process.
Delivery is usually made within 24 hours of an order being placed, however it may take longer should your order be placed prior to the weekend or if otherwise specified on the Market Report details page. Additionally, if details have been not fully completed in the Order process a delay in delivery is possible.
If a delay in delivery is expected you will be informed about it immediately.
-
- Shipping Charges
-
As most Market Reports are delivered in PDF format we almost never have to add additional Shipping Charges. If, however you are ordering a Higher License service or a specific delivery format (e.g. CD version) charges may apply.
If you are concerned about additional Shipping Charges we recommend you to Contact us to double check.
-
- Prices
- Ordering
- By Credit Card
-
We work in Partnership with PayU to ensure payments are made securely in a fast and effortless way. PayU is the e-payments division of Naspers.
Naspers operates in over 133 International Markets and ranks 3rd Globally in terms of the number of e-commerce customers served.
For more information on PayU please visit: https://www.payu.pl/en/about-us
-
- By Money Transfer
-
If you require an invoice prior to payment, this is possible. To ensure a speedy delivery of the Market Report we require all relevant company details and you agree to maximum payment terms of 30 days from receipt of order.
With our regular clients deliver of the Market Report can be made prior to receiving payment, however in some circumstances we may ask for payment to be received before arranging for the Market Report to be delivered.
-
- By Credit Card
- Security
- Website security
-
We have specifically partnered with leading International companies to protect your privacy by using different technologies and processes to ensure security.
Everything submitted to Scotts International is encrypted via SSL (Secure Socket Layer) and all personal information provided to Scotts International is stored on computer systems with limited access in controlled environments.
-
- Credit Card Security
-
We partner with PayU (https://www.payu.pl/en/about-us) to ensure all credit card payments are made securely in a fast and effortless way.
PayU offers 250+ various payment channels and eWallet services across 4 continents allowing buyers to pay electronically, whether on a computer or a mobile device.
-
- Website security