Strong Growth Ahead: Predictive Analytics in Banking Market Size To Grow At Arecord 20.7% Cagr By 2029

Our market reports now include the latest updates on global tariffs, trade impacts, and evolving supply chain dynamics.

How Big Is the Predictive Analytics in Banking Market Size Expected to Be by 2034?
In recent times, there's been a tremendous growth in the market size for predictive analytics in banking. This market is projected to increase from $3.84 billion in 2024 to $4.64 billion in 2025, demonstrating a compound annual growth rate (CAGR) of 21.0%. Factors such as credit risk evaluation, fraud identification and deterrence, customer division and customization, regulatory adherence, and operational effectiveness have significantly contributed to the growth during the historical period.

The market size of predictive analytics in banking is forecasted to experience substantial growth in the coming years, anticipated to reach $9.85 billion in 2029 with a compound annual growth rate (CAGR) of 20.7%.This projected growth during the forecast period can be credited to factors such as the implementation of artificial intelligence and machine learning, big data, and real-time analytics, compliance with regulatory pressure, the demand for personalized customer experiences, and efforts towards cybersecurity and fraud prevention. Notable trends for the forecast period encompass improving customer experiences through personalization, integrating AI and machine learning for sophisticated predictive models, utilizing real-time predictive analytics for immediate decision making, an increased emphasis on cybersecurity and fraud prevention, and adherence to regulatory compliance and risk management.

Purchase the full report for exclusive industry analysis:
https://www.thebusinessresearchcompany.com/purchaseoptions.aspx?id=20935

What Are the Emerging Segments Within the Predictive Analytics in Banking Market?
The predictive analytics in banking market covered in this report is segmented -

1) By Type: Marketing; Sales; Finance; Human resource; Operations
2) By Component: Solution; Services
3) By Deployment Model: On-Premise; Cloud
4) By Application: Small And Medium Enterprises (SMES); Large Enterprises

Subsegments:
1) By Marketing: Customer Segmentation And Targeting; Campaign Management And Optimization; Customer Lifetime Value Prediction; Churn Prediction and Retention Strategies; Market Trend Analysis; Brand Sentiment Analysis
2) By Sales: Lead Scoring and Opportunity Management; Sales Forecasting And Trend Analysis; Cross-Selling And Up-Selling Strategies; Sales Performance Optimization; Conversion Rate Prediction; Territory Management
3) By Finance: Credit Scoring And Risk Assessment; Fraud Detection And Prevention; Financial Forecasting and Budgeting; Loan Default Prediction; Asset Management And Investment Analysis; Regulatory Compliance Analytics
4) By Human Resource: Employee Attrition Prediction; Talent Acquisition And Recruitment Optimization; Workforce Planning And Optimization; Employee Performance Analytics; Learning and Development Needs Prediction; Compensation And Benefits Analysis
5) By Operations: Process Efficiency Optimization; Operational Cost Prediction And Management; Resource Allocation And Scheduling; Transaction Monitoring And Anomaly Detection; Supply Chain Management Optimization; Automation Of Operational Tasks

Get your free sample here:
https://www.thebusinessresearchcompany.com/sample.aspx?id=20935&type=smp

What Long-Term Drivers Are Shaping Predictive Analytics in Banking Market Trends?
Predictive analytics in the banking industry is set to flourish due to the escalating rate of fraudulent activities. Fraudulent activities generally mean deliberate deceptive actions or plans aimed at tricking, controlling, or deceiving individuals or corporations for personal or financial advantages. The frequency of fraud in the banking industry is on the rise, thanks to increasing cyber threats and the expanding adoption of digital banking services. By processing advanced algorithms, predictive analytics in banking can curtail fraudulent activities, as these algorithms can spot and flag irregular patterns and behaviors as they happen, leading to active detection and prevention of fraud. For instance, as reported by the Federal Trade Commission, a government institution in the US, consumers were tricked out of over $10 billion due to fraud in 2023, depicting a 14% increase from the losses reported in the previous year. Hence, the escalating rate of fraudulent activities is propelling the expansion of predictive analytics in the banking sector.

Who Are the Top Competitors in Key Predictive Analytics in Banking Market Segments?
Major companies operating in the predictive analytics in banking market are Microsoft Corporation, Amazon Web Services Inc., International Business Machines Corporation, Oracle Corporation, SAS Institute Inc., Turing Analytics, Databricks Inc., Alteryx Inc., H2O.ai, EdgeVerve Systems Limited, Google Cloud, Dataiku, Datarobot Inc., Feature Labs, KNIME, Altair Engineering Inc., Rasa, Peltarion, Auger.AI, BigML, Big Squid Inc, dotData Inc., Determined.ai Inc., Turi

What Actigraphy Devices Market Trends Are Gaining Traction Across Different Segments?
Key players in the predictive analytics in the banking sector are pioneering novel solutions such as AI-infused data analytics systems to scrutinize business operations and interpret data. This enables swift insights and better informed decisions. These AI-driven data analytics systems improve banking through the use of advanced data processing, predictive modelling, and pattern identification to refine risk management, tailor customer experiences, identify fraud, simplify operations, and discover fresh growth prospects. To illustrate, in March 2024, TransUnion, an IT firm based in the US, unveiled OneTru, an AI-infused data analytics system designed to boost financial institutions' data access and decision-making abilities. This cloud-based platform combines data analytics, credit risk analysis, and fraud detection tools into a single portal powered by AI and machine learning. OneTru unifies fragmented data sources which lets users easily access credit bureau, consumer identification, and marketing data. This consolidation is intended to increase the speed and quality of analytics, thereby facilitating faster insights and superior decision-making for clients.

Get the full report for exclusive industry analysis:
https://www.thebusinessresearchcompany.com/report/predictive-analytics-in-banking-global-market-report

Which Regions Are Becoming Hubs for Predictive Analytics in Banking Market Innovation?
North America was the largest region in the predictive analytics in banking market in 2024. The regions covered in the predictive analytics in banking market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

Frequently Asked Questions:
1. What Is the Market Size and Growth Rate of the Predictive Analytics in Banking Market?
2. What is the CAGR expected in the Predictive Analytics in Banking Market?
3. What Are the Key Innovations Transforming the Predictive Analytics in Banking Industry?
4. Which Region Is Leading the Predictive Analytics in Banking Market?

Why This Report Matters:

Competitive overview: This report analyzes the competitive landscape of the 3D imaging software market, evaluating key players on market share, revenue, and growth factors.

Informed Decisions: Understand key strategies related to products, segmentation, and industry trends.

Efficient Research: Quickly identify market growth, leading players, and major segments.

Connect with us on:
LinkedIn: https://in.linkedin.com/company/the-business-research-company,
Twitter: https://twitter.com/tbrc_info,
YouTube: https://www.youtube.com/channel/UC24_fI0rV8cR5DxlCpgmyFQ.

Contact Us
Europe: +44 207 1930 708,
Asia: +91 88972 63534,
Americas: +1 315 623 0293 or
Email: mailto:info@tbrc.info

Learn More About The Business Research Company
With over 15,000+ reports from 27 industries covering 60+ geographies, The Business Research Company has built a reputation for offering comprehensive, data-rich research and insights. Our flagship product, the Global Market Model delivers comprehensive and updated forecasts to support informed decision-making.

This release was published on openPR.