Global Predictive Analytics in Banking Supply, Demand and Key Producers, 2023-2029

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Published Date: 23 Feb 2023

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Description
Table of Contents
Table of Figures
Research Methodology
Related Reports
Product Tags

Description

Predictive analytics, with the aid of various statistical tools and modeling techniques enable companies and enterprises make reliable estimations and prediction about the future opportunities and market risks.

This report studies the global Predictive Analytics in Banking demand, key companies, and key regions.

This report is a detailed and comprehensive analysis of the world market for Predictive Analytics in Banking, and provides market size (US$ million) and Year-over-Year (YoY) growth, considering 2022 as the base year. This report explores demand trends and competition, as well as details the characteristics of Predictive Analytics in Banking that contribute to its increasing demand across many markets.

The global Predictive Analytics in Banking market size is expected to reach $ million by 2029, rising at a market growth of % CAGR during the forecast period (2023-2029).

Highlights and key features of the study
Global Predictive Analytics in Banking total market, 2018-2029, (USD Million)
Global Predictive Analytics in Banking total market by region & country, CAGR, 2018-2029, (USD Million)
U.S. VS China: Predictive Analytics in Banking total market, key domestic companies and share, (USD Million)
Global Predictive Analytics in Banking revenue by player and market share 2018-2023, (USD Million)
Global Predictive Analytics in Banking total market by Type, CAGR, 2018-2029, (USD Million)
Global Predictive Analytics in Banking total market by Application, CAGR, 2018-2029, (USD Million)
This reports profiles major players in the global Predictive Analytics in Banking market based on the following parameters – company overview, revenue, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include Accretive Technologies Inc., Angoss Software Corporation, FICO, HP, IBM, Information Builders, KXEN Inc., Microsoft and Oracle, etc.

This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals, COVID-19 and Russia-Ukraine War Influence.

Stakeholders would have ease in decision-making through various strategy matrices used in analyzing the World Predictive Analytics in Banking market
Detailed Segmentation:
Each section contains quantitative market data including market by value (US$ Millions), by player, by regions, by Type, and by Application. Data is given for the years 2018-2029 by year with 2022 as the base year, 2023 as the estimate year, and 2024-2029 as the forecast year.

Global Predictive Analytics in Banking Market, By Region:
United States
China
Europe
Japan
South Korea
ASEAN
India
Rest of World

Global Predictive Analytics in Banking Market, Segmentation by Type
Customer Analytics
White-Collar Automation
Credit Scoring
Trading Insight
Other

Global Predictive Analytics in Banking Market, Segmentation by Application
Small & Medium Enterprises (SMES)
Large Enterprises

Companies Profiled:
Accretive Technologies Inc.
Angoss Software Corporation
FICO
HP
IBM
Information Builders
KXEN Inc.
Microsoft
Oracle
Salford Systems

Key Questions Answered
1. How big is the global Predictive Analytics in Banking market?
2. What is the demand of the global Predictive Analytics in Banking market?
3. What is the year over year growth of the global Predictive Analytics in Banking market?
4. What is the total value of the global Predictive Analytics in Banking market?
5. Who are the major players in the global Predictive Analytics in Banking market?
6. What are the growth factors driving the market demand?

Table of Contents

1 Supply Summary
    1.1 Predictive Analytics in Banking Introduction
    1.2 World Predictive Analytics in Banking Market Size & Forecast (2018 & 2022 & 2029)
    1.3 World Predictive Analytics in Banking Total Market by Region (by Headquarter Location)
        1.3.1 World Predictive Analytics in Banking Market Size by Region (2018-2029), (by Headquarter Location)
        1.3.2 United States Predictive Analytics in Banking Market Size (2018-2029)
        1.3.3 China Predictive Analytics in Banking Market Size (2018-2029)
        1.3.4 Europe Predictive Analytics in Banking Market Size (2018-2029)
        1.3.5 Japan Predictive Analytics in Banking Market Size (2018-2029)
        1.3.6 South Korea Predictive Analytics in Banking Market Size (2018-2029)
        1.3.7 ASEAN Predictive Analytics in Banking Market Size (2018-2029)
        1.3.8 India Predictive Analytics in Banking Market Size (2018-2029)
    1.4 Market Drivers, Restraints and Trends
        1.4.1 Predictive Analytics in Banking Market Drivers
        1.4.2 Factors Affecting Demand
        1.4.3 Predictive Analytics in Banking Major Market Trends
    1.5 Influence of COVID-19 and Russia-Ukraine War
        1.5.1 Influence of COVID-19
        1.5.2 Influence of Russia-Ukraine War

2 Demand Summary
    2.1 World Predictive Analytics in Banking Consumption Value (2018-2029)
    2.2 World Predictive Analytics in Banking Consumption Value by Region
        2.2.1 World Predictive Analytics in Banking Consumption Value by Region (2018-2023)
        2.2.2 World Predictive Analytics in Banking Consumption Value Forecast by Region (2024-2029)
    2.3 United States Predictive Analytics in Banking Consumption Value (2018-2029)
    2.4 China Predictive Analytics in Banking Consumption Value (2018-2029)
    2.5 Europe Predictive Analytics in Banking Consumption Value (2018-2029)
    2.6 Japan Predictive Analytics in Banking Consumption Value (2018-2029)
    2.7 South Korea Predictive Analytics in Banking Consumption Value (2018-2029)
    2.8 ASEAN Predictive Analytics in Banking Consumption Value (2018-2029)
    2.9 India Predictive Analytics in Banking Consumption Value (2018-2029)

3 World Predictive Analytics in Banking Companies Competitive Analysis
    3.1 World Predictive Analytics in Banking Revenue by Player (2018-2023)
    3.2 Industry Rank and Concentration Rate (CR)
        3.2.1 Global Predictive Analytics in Banking Industry Rank of Major Players
        3.2.2 Global Concentration Ratios (CR4) for Predictive Analytics in Banking in 2022
        3.2.3 Global Concentration Ratios (CR8) for Predictive Analytics in Banking in 2022
    3.3 Predictive Analytics in Banking Company Evaluation Quadrant
    3.4 Predictive Analytics in Banking Market: Overall Company Footprint Analysis
        3.4.1 Predictive Analytics in Banking Market: Region Footprint
        3.4.2 Predictive Analytics in Banking Market: Company Product Type Footprint
        3.4.3 Predictive Analytics in Banking Market: Company Product Application Footprint
    3.5 Competitive Environment
        3.5.1 Historical Structure of the Industry
        3.5.2 Barriers of Market Entry
        3.5.3 Factors of Competition
    3.6 Mergers, Acquisitions Activity

4 United States VS China VS Rest of the World (by Headquarter Location)
    4.1 United States VS China: Predictive Analytics in Banking Revenue Comparison (by Headquarter Location)
        4.1.1 United States VS China: Predictive Analytics in Banking Market Size Comparison (2018 & 2022 & 2029) (by Headquarter Location)
        4.1.2 United States VS China: Predictive Analytics in Banking Revenue Market Share Comparison (2018 & 2022 & 2029)
    4.2 United States Based Companies VS China Based Companies: Predictive Analytics in Banking Consumption Value Comparison
        4.2.1 United States VS China: Predictive Analytics in Banking Consumption Value Comparison (2018 & 2022 & 2029)
        4.2.2 United States VS China: Predictive Analytics in Banking Consumption Value Market Share Comparison (2018 & 2022 & 2029)
    4.3 United States Based Predictive Analytics in Banking Companies and Market Share, 2018-2023
        4.3.1 United States Based Predictive Analytics in Banking Companies, Headquarters (States, Country)
        4.3.2 United States Based Companies Predictive Analytics in Banking Revenue, (2018-2023)
    4.4 China Based Companies Predictive Analytics in Banking Revenue and Market Share, 2018-2023
        4.4.1 China Based Predictive Analytics in Banking Companies, Company Headquarters (Province, Country)
        4.4.2 China Based Companies Predictive Analytics in Banking Revenue, (2018-2023)
    4.5 Rest of World Based Predictive Analytics in Banking Companies and Market Share, 2018-2023
        4.5.1 Rest of World Based Predictive Analytics in Banking Companies, Headquarters (States, Country)
        4.5.2 Rest of World Based Companies Predictive Analytics in Banking Revenue, (2018-2023)

5 Market Analysis by Type
    5.1 World Predictive Analytics in Banking Market Size Overview by Type: 2018 VS 2022 VS 2029
    5.2 Segment Introduction by Type
        5.2.1 Customer Analytics
        5.2.2 White-Collar Automation
        5.2.3 Credit Scoring
        5.2.4 Trading Insight
        5.2.5 Other
    5.3 Market Segment by Type
        5.3.1 World Predictive Analytics in Banking Market Size by Type (2018-2023)
        5.3.2 World Predictive Analytics in Banking Market Size by Type (2024-2029)
        5.3.3 World Predictive Analytics in Banking Market Size Market Share by Type (2018-2029)

6 Market Analysis by Application
    6.1 World Predictive Analytics in Banking Market Size Overview by Application: 2018 VS 2022 VS 2029
    6.2 Segment Introduction by Application
        6.2.1 Small & Medium Enterprises (SMES)
        6.2.2 Large Enterprises
    6.3 Market Segment by Application
        6.3.1 World Predictive Analytics in Banking Market Size by Application (2018-2023)
        6.3.2 World Predictive Analytics in Banking Market Size by Application (2024-2029)
        6.3.3 World Predictive Analytics in Banking Market Size by Application (2018-2029)

7 Company Profiles
    7.1 Accretive Technologies Inc.
        7.1.1 Accretive Technologies Inc. Details
        7.1.2 Accretive Technologies Inc. Major Business
        7.1.3 Accretive Technologies Inc. Predictive Analytics in Banking Product and Services
        7.1.4 Accretive Technologies Inc. Predictive Analytics in Banking Revenue, Gross Margin and Market Share (2018-2023)
        7.1.5 Accretive Technologies Inc. Recent Developments/Updates
        7.1.6 Accretive Technologies Inc. Competitive Strengths & Weaknesses
    7.2 Angoss Software Corporation
        7.2.1 Angoss Software Corporation Details
        7.2.2 Angoss Software Corporation Major Business
        7.2.3 Angoss Software Corporation Predictive Analytics in Banking Product and Services
        7.2.4 Angoss Software Corporation Predictive Analytics in Banking Revenue, Gross Margin and Market Share (2018-2023)
        7.2.5 Angoss Software Corporation Recent Developments/Updates
        7.2.6 Angoss Software Corporation Competitive Strengths & Weaknesses
    7.3 FICO
        7.3.1 FICO Details
        7.3.2 FICO Major Business
        7.3.3 FICO Predictive Analytics in Banking Product and Services
        7.3.4 FICO Predictive Analytics in Banking Revenue, Gross Margin and Market Share (2018-2023)
        7.3.5 FICO Recent Developments/Updates
        7.3.6 FICO Competitive Strengths & Weaknesses
    7.4 HP
        7.4.1 HP Details
        7.4.2 HP Major Business
        7.4.3 HP Predictive Analytics in Banking Product and Services
        7.4.4 HP Predictive Analytics in Banking Revenue, Gross Margin and Market Share (2018-2023)
        7.4.5 HP Recent Developments/Updates
        7.4.6 HP Competitive Strengths & Weaknesses
    7.5 IBM
        7.5.1 IBM Details
        7.5.2 IBM Major Business
        7.5.3 IBM Predictive Analytics in Banking Product and Services
        7.5.4 IBM Predictive Analytics in Banking Revenue, Gross Margin and Market Share (2018-2023)
        7.5.5 IBM Recent Developments/Updates
        7.5.6 IBM Competitive Strengths & Weaknesses
    7.6 Information Builders
        7.6.1 Information Builders Details
        7.6.2 Information Builders Major Business
        7.6.3 Information Builders Predictive Analytics in Banking Product and Services
        7.6.4 Information Builders Predictive Analytics in Banking Revenue, Gross Margin and Market Share (2018-2023)
        7.6.5 Information Builders Recent Developments/Updates
        7.6.6 Information Builders Competitive Strengths & Weaknesses
    7.7 KXEN Inc.
        7.7.1 KXEN Inc. Details
        7.7.2 KXEN Inc. Major Business
        7.7.3 KXEN Inc. Predictive Analytics in Banking Product and Services
        7.7.4 KXEN Inc. Predictive Analytics in Banking Revenue, Gross Margin and Market Share (2018-2023)
        7.7.5 KXEN Inc. Recent Developments/Updates
        7.7.6 KXEN Inc. Competitive Strengths & Weaknesses
    7.8 Microsoft
        7.8.1 Microsoft Details
        7.8.2 Microsoft Major Business
        7.8.3 Microsoft Predictive Analytics in Banking Product and Services
        7.8.4 Microsoft Predictive Analytics in Banking Revenue, Gross Margin and Market Share (2018-2023)
        7.8.5 Microsoft Recent Developments/Updates
        7.8.6 Microsoft Competitive Strengths & Weaknesses
    7.9 Oracle
        7.9.1 Oracle Details
        7.9.2 Oracle Major Business
        7.9.3 Oracle Predictive Analytics in Banking Product and Services
        7.9.4 Oracle Predictive Analytics in Banking Revenue, Gross Margin and Market Share (2018-2023)
        7.9.5 Oracle Recent Developments/Updates
        7.9.6 Oracle Competitive Strengths & Weaknesses
    7.10 Salford Systems
        7.10.1 Salford Systems Details
        7.10.2 Salford Systems Major Business
        7.10.3 Salford Systems Predictive Analytics in Banking Product and Services
        7.10.4 Salford Systems Predictive Analytics in Banking Revenue, Gross Margin and Market Share (2018-2023)
        7.10.5 Salford Systems Recent Developments/Updates
        7.10.6 Salford Systems Competitive Strengths & Weaknesses

8 Industry Chain Analysis
    8.1 Predictive Analytics in Banking Industry Chain
    8.2 Predictive Analytics in Banking Upstream Analysis
    8.3 Predictive Analytics in Banking Midstream Analysis
    8.4 Predictive Analytics in Banking Downstream Analysis

9 Research Findings and Conclusion

10 Appendix
    10.1 Methodology
    10.2 Research Process and Data Source
    10.3 Disclaimer

Table of Figures

List of Tables
    Table 1. World Predictive Analytics in Banking Revenue by Region (2018, 2022 and 2029) & (USD Million), (by Headquarter Location)
    Table 2. World Predictive Analytics in Banking Revenue by Region (2018-2023) & (USD Million), (by Headquarter Location)
    Table 3. World Predictive Analytics in Banking Revenue by Region (2024-2029) & (USD Million), (by Headquarter Location)
    Table 4. World Predictive Analytics in Banking Revenue Market Share by Region (2018-2023), (by Headquarter Location)
    Table 5. World Predictive Analytics in Banking Revenue Market Share by Region (2024-2029), (by Headquarter Location)
    Table 6. Major Market Trends
    Table 7. World Predictive Analytics in Banking Consumption Value Growth Rate Forecast by Region (2018 & 2022 & 2029) & (USD Million)
    Table 8. World Predictive Analytics in Banking Consumption Value by Region (2018-2023) & (USD Million)
    Table 9. World Predictive Analytics in Banking Consumption Value Forecast by Region (2024-2029) & (USD Million)
    Table 10. World Predictive Analytics in Banking Revenue by Player (2018-2023) & (USD Million)
    Table 11. Revenue Market Share of Key Predictive Analytics in Banking Players in 2022
    Table 12. World Predictive Analytics in Banking Industry Rank of Major Player, Based on Revenue in 2022
    Table 13. Global Predictive Analytics in Banking Company Evaluation Quadrant
    Table 14. Head Office of Key Predictive Analytics in Banking Player
    Table 15. Predictive Analytics in Banking Market: Company Product Type Footprint
    Table 16. Predictive Analytics in Banking Market: Company Product Application Footprint
    Table 17. Predictive Analytics in Banking Mergers & Acquisitions Activity
    Table 18. United States VS China Predictive Analytics in Banking Market Size Comparison, (2018 & 2022 & 2029) & (USD Million)
    Table 19. United States VS China Predictive Analytics in Banking Consumption Value Comparison, (2018 & 2022 & 2029) & (USD Million)
    Table 20. United States Based Predictive Analytics in Banking Companies, Headquarters (States, Country)
    Table 21. United States Based Companies Predictive Analytics in Banking Revenue, (2018-2023) & (USD Million)
    Table 22. United States Based Companies Predictive Analytics in Banking Revenue Market Share (2018-2023)
    Table 23. China Based Predictive Analytics in Banking Companies, Headquarters (Province, Country)
    Table 24. China Based Companies Predictive Analytics in Banking Revenue, (2018-2023) & (USD Million)
    Table 25. China Based Companies Predictive Analytics in Banking Revenue Market Share (2018-2023)
    Table 26. Rest of World Based Predictive Analytics in Banking Companies, Headquarters (States, Country)
    Table 27. Rest of World Based Companies Predictive Analytics in Banking Revenue, (2018-2023) & (USD Million)
    Table 28. Rest of World Based Companies Predictive Analytics in Banking Revenue Market Share (2018-2023)
    Table 29. World Predictive Analytics in Banking Market Size by Type, (USD Million), 2018 & 2022 & 2029
    Table 30. World Predictive Analytics in Banking Market Size by Type (2018-2023) & (USD Million)
    Table 31. World Predictive Analytics in Banking Market Size by Type (2024-2029) & (USD Million)
    Table 32. World Predictive Analytics in Banking Market Size by Application, (USD Million), 2018 & 2022 & 2029
    Table 33. World Predictive Analytics in Banking Market Size by Application (2018-2023) & (USD Million)
    Table 34. World Predictive Analytics in Banking Market Size by Application (2024-2029) & (USD Million)
    Table 35. Accretive Technologies Inc. Basic Information, Area Served and Competitors
    Table 36. Accretive Technologies Inc. Major Business
    Table 37. Accretive Technologies Inc. Predictive Analytics in Banking Product and Services
    Table 38. Accretive Technologies Inc. Predictive Analytics in Banking Revenue, Gross Margin and Market Share (2018-2023) & (USD Million)
    Table 39. Accretive Technologies Inc. Recent Developments/Updates
    Table 40. Accretive Technologies Inc. Competitive Strengths & Weaknesses
    Table 41. Angoss Software Corporation Basic Information, Area Served and Competitors
    Table 42. Angoss Software Corporation Major Business
    Table 43. Angoss Software Corporation Predictive Analytics in Banking Product and Services
    Table 44. Angoss Software Corporation Predictive Analytics in Banking Revenue, Gross Margin and Market Share (2018-2023) & (USD Million)
    Table 45. Angoss Software Corporation Recent Developments/Updates
    Table 46. Angoss Software Corporation Competitive Strengths & Weaknesses
    Table 47. FICO Basic Information, Area Served and Competitors
    Table 48. FICO Major Business
    Table 49. FICO Predictive Analytics in Banking Product and Services
    Table 50. FICO Predictive Analytics in Banking Revenue, Gross Margin and Market Share (2018-2023) & (USD Million)
    Table 51. FICO Recent Developments/Updates
    Table 52. FICO Competitive Strengths & Weaknesses
    Table 53. HP Basic Information, Area Served and Competitors
    Table 54. HP Major Business
    Table 55. HP Predictive Analytics in Banking Product and Services
    Table 56. HP Predictive Analytics in Banking Revenue, Gross Margin and Market Share (2018-2023) & (USD Million)
    Table 57. HP Recent Developments/Updates
    Table 58. HP Competitive Strengths & Weaknesses
    Table 59. IBM Basic Information, Area Served and Competitors
    Table 60. IBM Major Business
    Table 61. IBM Predictive Analytics in Banking Product and Services
    Table 62. IBM Predictive Analytics in Banking Revenue, Gross Margin and Market Share (2018-2023) & (USD Million)
    Table 63. IBM Recent Developments/Updates
    Table 64. IBM Competitive Strengths & Weaknesses
    Table 65. Information Builders Basic Information, Area Served and Competitors
    Table 66. Information Builders Major Business
    Table 67. Information Builders Predictive Analytics in Banking Product and Services
    Table 68. Information Builders Predictive Analytics in Banking Revenue, Gross Margin and Market Share (2018-2023) & (USD Million)
    Table 69. Information Builders Recent Developments/Updates
    Table 70. Information Builders Competitive Strengths & Weaknesses
    Table 71. KXEN Inc. Basic Information, Area Served and Competitors
    Table 72. KXEN Inc. Major Business
    Table 73. KXEN Inc. Predictive Analytics in Banking Product and Services
    Table 74. KXEN Inc. Predictive Analytics in Banking Revenue, Gross Margin and Market Share (2018-2023) & (USD Million)
    Table 75. KXEN Inc. Recent Developments/Updates
    Table 76. KXEN Inc. Competitive Strengths & Weaknesses
    Table 77. Microsoft Basic Information, Area Served and Competitors
    Table 78. Microsoft Major Business
    Table 79. Microsoft Predictive Analytics in Banking Product and Services
    Table 80. Microsoft Predictive Analytics in Banking Revenue, Gross Margin and Market Share (2018-2023) & (USD Million)
    Table 81. Microsoft Recent Developments/Updates
    Table 82. Microsoft Competitive Strengths & Weaknesses
    Table 83. Oracle Basic Information, Area Served and Competitors
    Table 84. Oracle Major Business
    Table 85. Oracle Predictive Analytics in Banking Product and Services
    Table 86. Oracle Predictive Analytics in Banking Revenue, Gross Margin and Market Share (2018-2023) & (USD Million)
    Table 87. Oracle Recent Developments/Updates
    Table 88. Salford Systems Basic Information, Area Served and Competitors
    Table 89. Salford Systems Major Business
    Table 90. Salford Systems Predictive Analytics in Banking Product and Services
    Table 91. Salford Systems Predictive Analytics in Banking Revenue, Gross Margin and Market Share (2018-2023) & (USD Million)
    Table 92. Global Key Players of Predictive Analytics in Banking Upstream (Raw Materials)
    Table 93. Predictive Analytics in Banking Typical Customers
List of Figure
    Figure 1. Predictive Analytics in Banking Picture
    Figure 2. World Predictive Analytics in Banking Total Market Size: 2018 & 2022 & 2029, (USD Million)
    Figure 3. World Predictive Analytics in Banking Total Market Size (2018-2029) & (USD Million)
    Figure 4. World Predictive Analytics in Banking Revenue Market Share by Region (2018, 2022 and 2029) & (USD Million) , (by Headquarter Location)
    Figure 5. World Predictive Analytics in Banking Revenue Market Share by Region (2018-2029), (by Headquarter Location)
    Figure 6. United States Based Company Predictive Analytics in Banking Revenue (2018-2029) & (USD Million)
    Figure 7. China Based Company Predictive Analytics in Banking Revenue (2018-2029) & (USD Million)
    Figure 8. Europe Based Company Predictive Analytics in Banking Revenue (2018-2029) & (USD Million)
    Figure 9. Japan Based Company Predictive Analytics in Banking Revenue (2018-2029) & (USD Million)
    Figure 10. South Korea Based Company Predictive Analytics in Banking Revenue (2018-2029) & (USD Million)
    Figure 11. ASEAN Based Company Predictive Analytics in Banking Revenue (2018-2029) & (USD Million)
    Figure 12. India Based Company Predictive Analytics in Banking Revenue (2018-2029) & (USD Million)
    Figure 13. Predictive Analytics in Banking Market Drivers
    Figure 14. Factors Affecting Demand
    Figure 15. World Predictive Analytics in Banking Consumption Value (2018-2029) & (USD Million)
    Figure 16. World Predictive Analytics in Banking Consumption Value Market Share by Region (2018-2029)
    Figure 17. United States Predictive Analytics in Banking Consumption Value (2018-2029) & (USD Million)
    Figure 18. China Predictive Analytics in Banking Consumption Value (2018-2029) & (USD Million)
    Figure 19. Europe Predictive Analytics in Banking Consumption Value (2018-2029) & (USD Million)
    Figure 20. Japan Predictive Analytics in Banking Consumption Value (2018-2029) & (USD Million)
    Figure 21. South Korea Predictive Analytics in Banking Consumption Value (2018-2029) & (USD Million)
    Figure 22. ASEAN Predictive Analytics in Banking Consumption Value (2018-2029) & (USD Million)
    Figure 23. India Predictive Analytics in Banking Consumption Value (2018-2029) & (USD Million)
    Figure 24. Producer Shipments of Predictive Analytics in Banking by Player Revenue ($MM) and Market Share (%): 2022
    Figure 25. Global Four-firm Concentration Ratios (CR4) for Predictive Analytics in Banking Markets in 2022
    Figure 26. Global Four-firm Concentration Ratios (CR8) for Predictive Analytics in Banking Markets in 2022
    Figure 27. United States VS China: Predictive Analytics in Banking Revenue Market Share Comparison (2018 & 2022 & 2029)
    Figure 28. United States VS China: Predictive Analytics in Banking Consumption Value Market Share Comparison (2018 & 2022 & 2029)
    Figure 29. World Predictive Analytics in Banking Market Size by Type, (USD Million), 2018 & 2022 & 2029
    Figure 30. World Predictive Analytics in Banking Market Size Market Share by Type in 2022
    Figure 31. Customer Analytics
    Figure 32. White-Collar Automation
    Figure 33. Credit Scoring
    Figure 34. Trading Insight
    Figure 35. Other
    Figure 36. World Predictive Analytics in Banking Market Size Market Share by Type (2018-2029)
    Figure 37. World Predictive Analytics in Banking Market Size by Application, (USD Million), 2018 & 2022 & 2029
    Figure 38. World Predictive Analytics in Banking Market Size Market Share by Application in 2022
    Figure 39. Small & Medium Enterprises (SMES)
    Figure 40. Large Enterprises
    Figure 41. Predictive Analytics in Banking Industrial Chain
    Figure 42. Methodology
    Figure 43. Research Process and Data Source

Research Methodology

Client Requirements

Review and analyze client requirements

Discussion of all the project requirements and queries

Flexibility Check

Project Feasibility Analysis

Finalizing tentative research programme

Structuring project proposal with scope, timeline, and costs

Analyzing Market Dynamics

Determination of key drivers, restraints, challenge, and opportunity

Identifies market needs and trends

Market Size Estimation & Forecast

Estimation of historical data based on secondary and primary data

Anticipating market recast by assigning weightage to market forces (drivers, restraints, opportunities)

Freezing historical and forecast market size estimations based on evolution, trends, outlook, and strategies

Consideration of geography, region-specific product/service demand for region segments

Consideration of product utilization rates, product demand outlook for segments by application or end-user.

Data Source

Secondary Source
Data collections from annual reports, presentations,associations, journals, analyst reports, paid database, press releases, blogs, newsletters,and GIR repositories.

Primary Source
Research discussion with manufacturers, distributors, suppliers, end user, industry experts to verify insights.

Validation and
triangulation of
secondary and primary source.

Collection of data

Cumulating and collating the essential qualitative and quantitative data

Generation of report in client requested format by research analysts

Reviews by expert analysts

Final quality check

Clarifying queries

Receiving feedback

Ensuring satisfaction

01 Identification of data

This step involves identification of several primary and secondary data research sources, including Global Info Research's internal data sources. The primary sources consist of in-depth discussions and interviews with policy makers, industry experts, and data evaluators, whereas secondary sources include a thorough study of market journals, press releases, annual reports, and government and non-government agencies websites.
02 Evaluation of Market Dynamic

This phase includes a detailed evaluation of several factors that are likely to affect the market dynamics. It involves a comprehensive assessment of major market pain points, drivers, and trends. It also comprises a detailed study of research plans and methodology.
03 Collection of Data

This process consists of gathering data, accessing proprietary databases, and reaching out to key industry participants that operate in the market across the value chain. It also involves studying several patterns in the historical data and comparing it with the current scenario.
04 Collaboration of Data

This stage involves the validation of data and arrival at actual statistics, and evolution of the market over the years. It entails the study and analyzes various segments and verticals of the market. An impact analysis is also performed to observe which factors will affect the market in the next few years.
05 Verification and Analysis

This is the final stage, which involves both quantity and quality checks. Although the process of data verification is an integral part of the research process, all data points and statistics and figures are re-checked to uphold their authenticity and validity.

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According to our (Global Info Research) latest study, the global Predictive Analytics in Banking market size was valued at USD million in 2023 and is forecast to a readjusted size of USD million by 2030 with a CAGR of % during review period.

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