Predictive analytics comprises predictive models, and data mining using multivariate analyzing techniques such as time series, regression analysis, and decision tree. The technology uses several statistical and analytical techniques for developing predictive models to deliver enhanced solutions by identifying the outcome of future events and customer behavior of organizations through historical data & current data. This technique allows banks and the financial industry for analyzing customer behavior, customer segmentation, risk assessment, and future trend. The banks build a customer experience strategy to make improvements in their email & print communications, financial services, and online & mobile banking services. These enhanced improvements in customer experience have been helping organizations to boost profit and an increase in customer retention. Moreover, predictive analytics offers a clear view of customer satisfaction trends, better risk and complaint management, cross sell & up sell opportunities, thus help in increasing operational efficiency of banks.
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. In addition, 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. However, issues associated with implementation and integration among banks and financial institutions hamper the growth of the market. Conversely, the 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 predictive analytics in banking market during the forecast period.
The global predictive analytics in banking market is segmented on the basis of component, deployment model, organization size, application, and region. In terms of component, it is bifurcated into solutions and services. Based on deployment model, the market is segmented into on-premise and cloud. In terms of organization, the market is segmented into large enterprises and SMEs. As per application, it is divided into fraud detection & prevention, customer management, sales & marketing, workforce management, and others. Region wise, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.
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 industry.
Key Benefits for Stakeholders
- The study provides an in-depth analysis of the global predictive analytics in banking market forecast along with the current & future trends to elucidate the imminent investment pockets.
- Information about key drivers, restraints, and opportunities and their impact analysis on the global predictive analytics in banking market size is provided in the report.
- Porter’s five forces analysis illustrates the potency of the buyers and suppliers operating in the industry.
- The quantitative analysis of the market for the period 2019-2026 is provided to determine the market potential.
Key Market Segments
By Component
- Solution
- Service
By Deployment Model
- On-Premise
- Cloud
By Organization Size
- Large Enterprises
- SME’s
By Application
- Fraud Detection & Prevention
- Customer Management
- Sales & Marketing
- Workforce Management
- Others
By Region
- North America
- U.S.
- Canada
- Europe
- UK
- Germany
- France
- Italy
- Spain
- Russia
- Rest of Europe
- Asia-Pacific
- China
- India
- Japan
- Singapore
- South Korea
- Rest of Asia-Pacific
- LAMEA
- Latin America
- Middle East
- Africa
KEY MARKET PLAYERS
- Alteryx, Inc.
- Fair Isaac Corporation
- IBM Corporation
- Microsoft Corporation
- Oracle Corporation
- SAP SE
- SAS Institute, Inc.
- Tableau Software, Inc.
- Teradata Corporation
- TIBCO Software, Inc.
Table of Contents
Executive Summary
According to the report 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 $5.43billion by 2026, growing at a CAGR of 20.80% from 2019 to 2026.
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. However, issues associated with implementation and integration among banks and financial institutions hamper the growth of the 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 predictive analytics in the banking market during the forecast period.
By application, the global predictive analytics in the 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 solutions 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 the highest rate during the forecast period, owing to an increase in the number of transactions in various banking and financial institution.
Region wise, predictive analytics in the banking market was dominated by North America in 2019. The major factors that drive the growth of the 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. 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.
According to Pramod Borasi, Research Analyst, BFSI, “Asia-Pacific is expected to experience significant growth in the upcoming years, owing to the rise in the adoption of predictive analytics in various banks and an increase in use of predictive analytics in emerging countries such as India, China, and South Korea.”
KEY FINDINGS OF THE STUDY
- On the basis of component, the solution segment led predictive analytics in the banking market in terms of revenue in 2018.
- By deployment model, the on-premise segment accounted for the highest predictive analytics in the 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 industry.
Companies Mentioned
- Alteryx Inc.
- Fair Isaac Corporation
- IBM Corporation
- Microsoft corporation
- Oracle Corporation
- SAP SE
- SAS Institute Inc.
- Tableau Software Inc.
- Teradata Corporation,
- TIBCO Software Inc
Methodology
The analyst offers exhaustive research and analysis based on a wide variety of factual inputs, which largely include interviews with industry participants, reliable statistics, and regional intelligence. The in-house industry experts play an instrumental role in designing analytic tools and models, tailored to the requirements of a particular industry segment. The primary research efforts include reaching out participants through mail, tele-conversations, referrals, professional networks, and face-to-face interactions.
They are also in professional corporate relations with various companies that allow them greater flexibility for reaching out to industry participants and commentators for interviews and discussions.
They also refer to a broad array of industry sources for their secondary research, which typically include; however, not limited to:
- Company SEC filings, annual reports, company websites, broker & financial reports, and investor presentations for competitive scenario and shape of the industry
- Scientific and technical writings for product information and related preemptions
- Regional government and statistical databases for macro analysis
- Authentic news articles and other related releases for market evaluation
- Internal and external proprietary databases, key market indicators, and relevant press releases for market estimates and forecast
Furthermore, the accuracy of the data will be analyzed and validated by conducting additional primaries with various industry experts and KOLs. They also provide robust post-sales support to clients.
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