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Predictive Analytics in Banking Market, Global Outlook and Forecast 2023-2029

Predictive Analytics in Banking Market, Global Outlook and Forecast 2023-2029

  • Published on : 03 June 2023
  • Pages :66
  • Report Code:SMR-7703010

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Report overview

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 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. This report contains market size and forecasts of Predictive Analytics in Banking in global, including the following market information:
Global Predictive Analytics in Banking Market Revenue, 2018-2023, 2024-2029, ($ millions)
Global top five companies in 2022 (%)
The global Predictive Analytics in Banking market was valued at US$ million in 2022 and is projected to reach US$ million by 2029, at a CAGR of % during the forecast period. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
The U.S. Market is Estimated at $ Million in 2022, While China is to reach $ Million.
Customer Analytics Segment to Reach $ Million by 2029, with a % CAGR in next six years.
The global key manufacturers of Predictive Analytics in Banking include Accretive Technologies Inc., Angoss Software Corporation, FICO, HP, IBM, Information Builders, KXEN Inc., Microsoft and Oracle, etc. in 2022, the global top five players have a share approximately % in terms of revenue.
We surveyed the Predictive Analytics in Banking companies, and industry experts on this industry, involving the revenue, demand, product type, recent developments and plans, industry trends, drivers, challenges, obstacles, and potential risks.
Total Market by Segment:
Global Predictive Analytics in Banking Market, by Type, 2018-2023, 2024-2029 ($ millions)
Global Predictive Analytics in Banking Market Segment Percentages, by Type, 2022 (%)
Customer Analytics
White-Collar Automation
Credit Scoring
Trading Insight
Other
Global Predictive Analytics in Banking Market, by Application, 2018-2023, 2024-2029 ($ millions)
Global Predictive Analytics in Banking Market Segment Percentages, by Application, 2022 (%)
Small & Medium Enterprises (SMES)
Large Enterprises
Global Predictive Analytics in Banking Market, By Region and Country, 2018-2023, 2024-2029 ($ Millions)
Global Predictive Analytics in Banking Market Segment Percentages, By Region and Country, 2022 (%)
North America
US
Canada
Mexico
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Benelux
Rest of Europe
Asia
China
Japan
South Korea
Southeast Asia
India
Rest of Asia
South America
Brazil
Argentina
Rest of South America
Middle East & Africa
Turkey
Israel
Saudi Arabia
UAE
Rest of Middle East & Africa
Competitor Analysis
The report also provides analysis of leading market participants including:
Key companies Predictive Analytics in Banking revenues in global market, 2018-2023 (estimated), ($ millions)
Key companies Predictive Analytics in Banking revenues share in global market, 2022 (%)
Further, the report presents profiles of competitors in the market, key players include:
Accretive Technologies Inc.
Angoss Software Corporation
FICO
HP
IBM
Information Builders
KXEN Inc.
Microsoft
Oracle
Salford Systems
Outline of Major Chapters:
Chapter 1: Introduces the definition of Predictive Analytics in Banking, market overview.
Chapter 2: Global Predictive Analytics in Banking market size in revenue.
Chapter 3: Detailed analysis of Predictive Analytics in Banking company competitive landscape, revenue and 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: Sales of Predictive Analytics in Banking in regional level and country level. 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 of each country in the world.
Chapter 7: 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 8: The main points and conclusions of the report.