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Synopsis
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.
The global Predictive Analytics in Banking market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of % during the forecast period 2024-2030.
North American market for Predictive Analytics in Banking is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for Predictive Analytics in Banking is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global market for Predictive Analytics in Banking in Small & Medium Enterprises (SMES) is estimated to increase from $ million in 2023 to $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The major global companies of Predictive Analytics in Banking include Accretive Technologies Inc., Angoss Software Corporation, FICO, HP, IBM, Information Builders, KXEN Inc., Microsoft and Oracle, etc. In 2023, the world's top three vendors accounted for approximately % of the revenue.
This report aims to provide a comprehensive presentation of the global market for Predictive Analytics in Banking, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Predictive Analytics in Banking.
Report Scope
The Predictive Analytics in Banking market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Predictive Analytics in Banking market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Predictive Analytics in Banking companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
Segment by Type
Segment by Application
By Region
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Predictive Analytics in Banking companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
Index
1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Predictive Analytics in Banking Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Customer Analytics
1.2.3 White-Collar Automation
1.2.4 Credit Scoring
1.2.5 Trading Insight
1.2.6 Other
1.3 Market by Application
1.3.1 Global Predictive Analytics in Banking Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Small & Medium Enterprises (SMES)
1.3.3 Large Enterprises
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Predictive Analytics in Banking Market Perspective (2019-2030)
2.2 Predictive Analytics in Banking Growth Trends by Region
2.2.1 Global Predictive Analytics in Banking Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Predictive Analytics in Banking Historic Market Size by Region (2019-2024)
2.2.3 Predictive Analytics in Banking Forecasted Market Size by Region (2025-2030)
2.3 Predictive Analytics in Banking Market Dynamics
2.3.1 Predictive Analytics in Banking Industry Trends
2.3.2 Predictive Analytics in Banking Market Drivers
2.3.3 Predictive Analytics in Banking Market Challenges
2.3.4 Predictive Analytics in Banking Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Predictive Analytics in Banking Players by Revenue
3.1.1 Global Top Predictive Analytics in Banking Players by Revenue (2019-2024)
3.1.2 Global Predictive Analytics in Banking Revenue Market Share by Players (2019-2024)
3.2 Global Predictive Analytics in Banking Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Predictive Analytics in Banking Revenue
3.4 Global Predictive Analytics in Banking Market Concentration Ratio
3.4.1 Global Predictive Analytics in Banking Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Predictive Analytics in Banking Revenue in 2023
3.5 Predictive Analytics in Banking Key Players Head office and Area Served
3.6 Key Players Predictive Analytics in Banking Product Solution and Service
3.7 Date of Enter into Predictive Analytics in Banking Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Predictive Analytics in Banking Breakdown Data by Type
4.1 Global Predictive Analytics in Banking Historic Market Size by Type (2019-2024)
4.2 Global Predictive Analytics in Banking Forecasted Market Size by Type (2025-2030)
5 Predictive Analytics in Banking Breakdown Data by Application
5.1 Global Predictive Analytics in Banking Historic Market Size by Application (2019-2024)
5.2 Global Predictive Analytics in Banking Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Predictive Analytics in Banking Market Size (2019-2030)
6.2 North America Predictive Analytics in Banking Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Predictive Analytics in Banking Market Size by Country (2019-2024)
6.4 North America Predictive Analytics in Banking Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Predictive Analytics in Banking Market Size (2019-2030)
7.2 Europe Predictive Analytics in Banking Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Predictive Analytics in Banking Market Size by Country (2019-2024)
7.4 Europe Predictive Analytics in Banking Market Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Predictive Analytics in Banking Market Size (2019-2030)
8.2 Asia-Pacific Predictive Analytics in Banking Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Predictive Analytics in Banking Market Size by Region (2019-2024)
8.4 Asia-Pacific Predictive Analytics in Banking Market Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Predictive Analytics in Banking Market Size (2019-2030)
9.2 Latin America Predictive Analytics in Banking Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Predictive Analytics in Banking Market Size by Country (2019-2024)
9.4 Latin America Predictive Analytics in Banking Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Predictive Analytics in Banking Market Size (2019-2030)
10.2 Middle East & Africa Predictive Analytics in Banking Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Predictive Analytics in Banking Market Size by Country (2019-2024)
10.4 Middle East & Africa Predictive Analytics in Banking Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Accretive Technologies Inc.
11.1.1 Accretive Technologies Inc. Company Detail
11.1.2 Accretive Technologies Inc. Business Overview
11.1.3 Accretive Technologies Inc. Predictive Analytics in Banking Introduction
11.1.4 Accretive Technologies Inc. Revenue in Predictive Analytics in Banking Business (2019-2024)
11.1.5 Accretive Technologies Inc. Recent Development
11.2 Angoss Software Corporation
11.2.1 Angoss Software Corporation Company Detail
11.2.2 Angoss Software Corporation Business Overview
11.2.3 Angoss Software Corporation Predictive Analytics in Banking Introduction
11.2.4 Angoss Software Corporation Revenue in Predictive Analytics in Banking Business (2019-2024)
11.2.5 Angoss Software Corporation Recent Development
11.3 FICO
11.3.1 FICO Company Detail
11.3.2 FICO Business Overview
11.3.3 FICO Predictive Analytics in Banking Introduction
11.3.4 FICO Revenue in Predictive Analytics in Banking Business (2019-2024)
11.3.5 FICO Recent Development
11.4 HP
11.4.1 HP Company Detail
11.4.2 HP Business Overview
11.4.3 HP Predictive Analytics in Banking Introduction
11.4.4 HP Revenue in Predictive Analytics in Banking Business (2019-2024)
11.4.5 HP Recent Development
11.5 IBM
11.5.1 IBM Company Detail
11.5.2 IBM Business Overview
11.5.3 IBM Predictive Analytics in Banking Introduction
11.5.4 IBM Revenue in Predictive Analytics in Banking Business (2019-2024)
11.5.5 IBM Recent Development
11.6 Information Builders
11.6.1 Information Builders Company Detail
11.6.2 Information Builders Business Overview
11.6.3 Information Builders Predictive Analytics in Banking Introduction
11.6.4 Information Builders Revenue in Predictive Analytics in Banking Business (2019-2024)
11.6.5 Information Builders Recent Development
11.7 KXEN Inc.
11.7.1 KXEN Inc. Company Detail
11.7.2 KXEN Inc. Business Overview
11.7.3 KXEN Inc. Predictive Analytics in Banking Introduction
11.7.4 KXEN Inc. Revenue in Predictive Analytics in Banking Business (2019-2024)
11.7.5 KXEN Inc. Recent Development
11.8 Microsoft
11.8.1 Microsoft Company Detail
11.8.2 Microsoft Business Overview
11.8.3 Microsoft Predictive Analytics in Banking Introduction
11.8.4 Microsoft Revenue in Predictive Analytics in Banking Business (2019-2024)
11.8.5 Microsoft Recent Development
11.9 Oracle
11.9.1 Oracle Company Detail
11.9.2 Oracle Business Overview
11.9.3 Oracle Predictive Analytics in Banking Introduction
11.9.4 Oracle Revenue in Predictive Analytics in Banking Business (2019-2024)
11.9.5 Oracle Recent Development
11.10 Salford Systems
11.10.1 Salford Systems Company Detail
11.10.2 Salford Systems Business Overview
11.10.3 Salford Systems Predictive Analytics in Banking Introduction
11.10.4 Salford Systems Revenue in Predictive Analytics in Banking Business (2019-2024)
11.10.5 Salford Systems Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
Published By : QY Research