United States Predictive Analytics in Banking Market was valued at USD 4.1 Billion in 2022 and is projected to reach USD 10.8 Billion by 2030, growing at a CAGR of 13.0% from 2024 to 2030.
The US Predictive Analytics in Banking Market is rapidly transforming how financial institutions analyze data and make decisions. By leveraging predictive models, banks can forecast future trends, detect fraud, optimize operations, and personalize services. These advancements are driven by the increasing demand for more efficient, data-driven decision-making processes within the banking industry.
One of the primary types of predictive analytics used in banking is customer segmentation. This process allows banks to group customers based on behaviors and preferences, enabling targeted marketing campaigns and personalized service offerings. Financial institutions also use predictive models for risk assessment. By analyzing historical data and identifying potential risks, banks can proactively mitigate issues before they escalate into major problems.
Another significant area in the US Predictive Analytics in Banking Market is fraud detection. With cyber threats on the rise, banks are increasingly turning to machine learning algorithms and predictive analytics tools to identify fraudulent transactions. These tools can analyze patterns in transaction data, detecting anomalies that may indicate fraudulent activity, thus improving security and reducing losses.
The demand for predictive analytics in the banking industry is also influenced by regulatory requirements. As governments impose stricter regulations, financial institutions are required to provide more accurate reports and analyses. Predictive analytics helps banks meet these requirements by providing data-driven insights that ensure compliance with both local and international regulations.
Industries are also looking for predictive analytics to streamline operations and reduce costs. By optimizing workflows, banks can automate repetitive tasks and improve overall efficiency. The automation of routine processes through predictive analytics leads to lower operational costs and allows human resources to focus on higher-value tasks.
Overall, the US Predictive Analytics in Banking Market is expected to continue its rapid growth. As technology evolves and banks become more reliant on data, predictive analytics will remain a cornerstone of strategic decision-making in the banking industry.
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Accretive Technologies Inc.
Angoss Software Corporation
FICO
HP
IBM
Information Builders
KXEN Inc.
Microsoft
Oracle
Salford Systems
By the year 2030, the scale for growth in the market research industry is reported to be above 120 billion which further indicates its projected compound annual growth rate (CAGR), of more than 5.8% from 2023 to 2030. There have also been disruptions in the industry due to advancements in machine learning, artificial intelligence and data analytics There is predictive analysis and real time information about consumers which such technologies provide to the companies enabling them to make better and precise decisions. The Asia-Pacific region is expected to be a key driver of growth, accounting for more than 35% of total revenue growth. In addition, new innovative techniques such as mobile surveys, social listening, and online panels, which emphasize speed, precision, and customization, are also transforming this particular sector.
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Growing demand for below applications around the world has had a direct impact on the growth of the US Predictive Analytics in Banking Market
Demographic
Behavioral
Psychographic
Credit Risk Analysis
Fraud Detection
Market Risk Analysis
Retail Banking Products
Wealth Management Services
Corporate Banking Products
Online Banking
Branch Banking
Call Center Services
Spending Habits
Customer Retention
Sales Forecasting
US (United States, US and Mexico)
Europe (Germany, UK, France, Italy, Russia, Turkey, etc.)
Asia-Pacific (China, Japan, Korea, India, Australia, Indonesia, Thailand, Philippines, Malaysia and Vietnam)
South America (Brazil, Argentina, Columbia, etc.)
Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)
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1. Introduction of the US Predictive Analytics in Banking Market
Overview of the Market
Scope of Report
Assumptions
2. Executive Summary
3. Research Methodology of Verified Market Reports
Data Mining
Validation
Primary Interviews
List of Data Sources
4. US Predictive Analytics in Banking Market Outlook
Overview
Market Dynamics
Drivers
Restraints
Opportunities
Porters Five Force Model
Value Chain Analysis
5. US Predictive Analytics in Banking Market, By Type
6. US Predictive Analytics in Banking Market, By Application
7. US Predictive Analytics in Banking Market, By Geography
US
Europe
Asia Pacific
Rest of the World
8. US Predictive Analytics in Banking Market Competitive Landscape
Overview
Company Market Ranking
Key Development Strategies
9. Company Profiles
10. Appendix
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