Predictive Analytics in Banking Market to Hit $5.43 Billion by 2026, Driven by AI-Powered Risk Management & Customer Insights

NEW CASTLE, DE, UNITED STATES, February 20, 2025 /EINPresswire.com/ -- According to a recent report published by Allied Market Research, titled, "Predictive Analytics in Banking Market by Component, Deployment Model, Organization Size, and Application: Global Opportunity Analysis and Industry Forecast, 2029–2026", the global predictive analytics in banking market was valued at $1.20 billion in 2018, and is projected to reach $5.43 billion by 2026, growing at a CAGR of 20.80% from 2019 to 2026.

Get a Sample Copy of this Report :https://www.alliedmarketresearch.com/request-sample/232

Predictive analytics is considered a powerful technology of advance analytics used to track solutions for customer segmentation, risk assessment and future trend. The predictive analytics uses various kinds of techniques such as statistics, data mining, data modeling, machine learning, and artificial intelligence for predicting the emerging opportunities and identifying the business trends among organizations.

In addition, the banking and financial industry has been utilizing predictive analytics technology to track customer behavior and identify issues by analyzing unstructured data of customer emails, survey responses, banker notes, and call center transcripts, which helps them in improving business operations.

A significant increase in fraudulent activities such as accounting fraud, money laundering and payment card fraud, is the major factor driving the global predictive analytics in banking market growth. In addition, predictive analytics have been helping the bank and financial institutions to predict their incoming and outgoing property payment and customer flow, which is driving the growth of the market.

Buy Now: https://www.alliedmarketresearch.com/checkout-final/262f3045d9560f901ac8ea67a14382a5

However, issues associated with implementation and integration among banks and financial institutions hamper the growth of the predictive analytics in banking market. Conversely, integration of artificial intelligence in mobile banking apps and a rise in demand from developing economies are expected to provide major opportunities for the growth of the predictive analytics in banking predictive analytics in banking market during the forecast period

By application, the global predictive analytics in banking market was led by the customer management segment in 2018 and is projected to maintain its dominance during the forecast period. The major factors that drive the adoption of predictive analytics in banking solution in customer management include growth in lead conversion, increased productivity and more efficient communication have been driving the predictive analytics in banking market for customer management.

However, the fraud detection & prevention is expected to grow at a highest rate during the forecast period, owing to increase in the number of transactions in various banking and financial institution.

Region wise, the predictive analytics in banking market was dominated by North America in 2019. The major factors that drive the growth of the predictive analytics in banking market in this region owing to various banks are adopting advanced analytics, to analyze personal accounts for delivering personalized insights in different areas such as spending habits, managing cash flow and saving, which helps in customer management and retention.

Enquire Before Buying : https://www.alliedmarketresearch.com/purchase-enquiry/232

However, Asia-Pacific is expected to witness the highest growth rate during the forecast period due many banking and financial institutions have adopted instabase technology that helps in speeding up the SMEs loan lending process and reduces time in KYC process & credit documentation.

Key Findings of the Study:
By component, the solution segment led the predictive analytics in banking market size in terms of revenue in 2018.
By deployment model, the on-premise segment accounted for the highest predictive analytics in banking market share in 2018.
Region wise, North America generated the highest revenue in 2018.

Depending on the application, the fraud detection & prevention segment is anticipated to exhibit substantial growth during the forecast period.
The key players profiled in the predictive analytics in banking market analysis are Alteryx, Inc., Fair Isaac Corporation, IBM Corporation, Microsoft corporation, Oracle Corporation, SAP SE, SAS Institute, Inc., Tableau Software, Inc., Teradata Corporation and TIBCO Software, Inc. These players have adopted various strategies to increase their market penetration and strengthen their position in the predictive analytics in banking market industry.

Request Customization : https://www.alliedmarketresearch.com/request-for-customization/232

🔰𝐇𝐢𝐠𝐡 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐑𝐞𝐩𝐨𝐫𝐭𝐬🔰
Bancassurance Market
https://www.alliedmarketresearch.com/bancassurance-market
WealthTech Solutions Market
https://www.alliedmarketresearch.com/wealthtech-solutions-market-A31614
Payroll Outsourcing Market
https://www.alliedmarketresearch.com/payroll-outsourcing-market-A31433
Syndicated Loans Market
https://www.alliedmarketresearch.com/syndicated-loans-market-A31434
Real Estate Investment Market
https://www.alliedmarketresearch.com/real-estate-investment-market-A10044

Contact Us:
United States
1209 Orange Street,
Corporation Trust Center,
Wilmington, New Castle,
Delaware 19801 USA.
Int'l: +1-503-894-6022
Toll Free: +1-800-792-5285
Fax: +1-800-792-5285
help@alliedmarketresearch.com
https://medium.com/@kokate.mayuri1991
https://www.scoop.it/u/monika-718
https://bfsibloghub.blogspot.com/

David Correa
Allied Market Research
+ + 1 800-792-5285
email us here
Visit us on social media:
Facebook
X
LinkedIn
YouTube

Legal Disclaimer:

EIN Presswire provides this news content "as is" without warranty of any kind. We do not accept any responsibility or liability for the accuracy, content, images, videos, licenses, completeness, legality, or reliability of the information contained in this article. If you have any complaints or copyright issues related to this article, kindly contact the author above.