Predictive Analytics in Banking Market : Segmented By Application Type (Fraud Detection and Prevention, Customer Management, Sales and Marketing, Workforce Management and Others); by Deployment Mode (On-Premise and Cloud) and Region – Global Analysis of Market Size, Share & Trends for 2019 – 2020 and Forecasts to 2030
Predictive Analytics in Banking Market : Segmented By Application Type (Fraud Detection and Prevention, Customer Management, Sales and Marketing, Workforce Management and Others); by Deployment Mode (On-Premise and Cloud) and Region – Global Analysis of Market Size, Share & Trends for 2019 – 2020 and Forecasts to 2030
The Predictive Analytics in Banking Market report highlights technological advancements, investment opportunities, and regulatory frameworks shaping the industry landscape through 2030.
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Product Overview
Modern tech for customer insights is predictive analytics in the banking sector. Banks use instruments to anticipate analytical results to achieve a better and personalized customer experience through data-driven rational conclusions. It contributes to risk assessment, regulatory management and customer relations management of financial organisations (CRM). Credit card companies could use predictive analyses to establish credit lines for customers. In order to set premium amounts insurance companies can use predictive analytics. The system can be used by government agencies to stop illicit practices.
Market Highlights
Global Predictive Analytics in Banking Market is expected to project a notable CAGR of 19.42% in 2030.
Global Predictive Analytics in Banking Market to surpass USD 10.07 billion by 2030 from USD 1.71 billion in 2020 at a CAGR of 19.42% in the coming years, i.e., 2021-30. In the last few years, the internet of things (IoT) has been one of the most valuable innovations for predictive analytics in banking industry trends, contributing to the launch of trillions of IoT-based operating systems across the world, which drives market growth. Moreover, the major drivers of global predictive analytics in the banking market growth were a substantial increase in illicit practices such as accounting fraud, money laundering, and payment card fraud. Moreover, the prediction of the incoming and outgoing property payments and client flow that is driving market growth has been helped by predictive analysis by banking and financial institutions.
Global Predictive Analytics in Banking Market: Segments
Customer Management segment to grow with the highest CAGR during 2020-30
Global Predictive Analytics in Banking Market is segmented by application Type into Fraud Detection and Prevention, Customer Management, Sales and Marketing, Workforce Management and Others. Based on the application, customer management accounts for more than 30% of the 2020 share and is expected to continue with its maximum share in global predictive analytical technology in the banking market by 2030. This is due to increasing needs in the banking sector for customer management. However, due to an increasing number of banking and financial institutions' money transfers, the fraud detection & prevention sector is projected to register the highest CAGR from 2020 to 2030.
On premises segment to grow with the highest CAGR during 2020-30
Global Predictive Analytics in Banking Market is divided by deployment model into On-Premise and Cloud. On the basis of the deployment model, this on-premises sector accounted for almost 60% of the worldwide predictive analysis on the banking market, contributing to the largest market share in 2020 and is expected to maintain its dominant position throughout the projected timeframe. The quick delivery of predictive insights is attributed to the reduction of errors by automated technologies and measurement of quality. However, it is estimated that, due to the less dependence of organizations on IT resources, organizations are adopting cloud use, and its CAGR is the highest for the 2020-2030 period.
Market Dynamics
Drivers
Penetration of IoT
Millions of IoT devices worldwide are available and fraudulent activity, which includes money laundering, financial fraud, and card fraud, is on the increase, and property payments are forecast in and out of business and customers are boosting the growth of global banking predictive analytics. On the other side, increased demand for developed economies and the use of Artificial Intelligence (AI) in mobile banking applications are propelling the growth in future years.
Upsurge in illicit practices
The major drivers of global predictive analytics in the banking market growth were a substantial increase in illicit practices such as accounting fraud, money laundering, and payment card fraud. Moreover, the prediction of the incoming and outgoing property payments and client flow that is driving market growth has been helped by predictive analysis by banking and financial institutions.
Restraint
Implementation issues
Implementation and integration issues between banks and financial institutions hinder the market growth.
Global Predictive Analytics in Banking Market: Key Players
Alteryx Inc.
Company Overview, Business Strategy, Key Product Offerings, Financial Performance, Key Performance Indicators, Risk Analysis, Recent Development, Regional Presence, SWOT Analysis
Tableau Software Inc.
KXEN
SAS Institute Inc.
TIBCO Software Inc
Microsoft corporation
SAP SE
Salford Systems
IBM Corporation
Oracle Corporation
FICO
Teradata Corporation
Other Prominent Players
Global Predictive Analytics in Banking Market: Regions
Global Predictive Analytics in Banking Market is segmented based on regional analysis into five major regions. These include North America, Latin America, Europe, Asia Pacific, and the Middle East and Africa. On the basis of the region, North America had the highest growth market share of nearly 65% of global banking predictive analytics in 2020, and its leadership is anticipated to be retained during the projected timeframe. This is due to the government's strict regulations measures in North America to ensure data security and security. However, the highest CAGR from 2020 to 2030 is forecasted at Asia-Pacific. This is because of deployments aimed at raising the company's revenue and strengthening the organization's decision-makers.
Global Predictive Analytics in Banking Market is further segmented by region into:
North America Market Size, Share, Trends, Opportunities, Y-o-Y Growth, CAGR – United States and Canada
Latin America Market Size, Share, Trends, Opportunities, Y-o-Y Growth, CAGR – Mexico, Argentina, Brazil, and Rest of Latin America
Europe Market Size, Share, Trends, Opportunities, Y-o-Y Growth, CAGR – United Kingdom, France, Germany, Italy, Spain, Belgium, Hungary, Luxembourg, Netherlands, Poland, NORDIC, Russia, Turkey, and Rest of Europe
Asia Pacific Market Size, Share, Trends, Opportunities, Y-o-Y Growth, CAGR – India, China, South Korea, Japan, Malaysia, Indonesia, New Zealand, Australia, and Rest of APAC
Middle East and Africa Market Size, Share, Trends, Opportunities, Y-o-Y Growth, CAGR – North Africa, Israel, GCC, South Africa, and Rest of MENA
Global Predictive Analytics in Banking Market report also contains analysis on:
Predictive Analytics in Banking Segments:
By Application Type:
Fraud Detection and Prevention
Customer Management
Sales and Marketing
Workforce Management
Others
By Deployment Mode:
On-Premise
Cloud
Predictive Analytics in Banking Dynamics
Predictive Analytics in Banking Size
Supply & Demand
Current Trends/Issues/Challenges
Competition & Companies Involved in the Market
Value Chain of the Market
Market Drivers and Restraints
Predictive Analytics in Banking Market Report Scope and Segmentation
Frequently Asked Questions
How big is the Predictive Analytics in Banking market
What is the Predictive Analytics in Banking market growth
Which segment accounted for the largest Predictive Analytics in Banking market share
Who are the key players in the Predictive Analytics in Banking market
What are the factors driving the Predictive Analytics in Banking market
Contents
1. Executive Summary
2. Global Predictive Analytics in Banking Market
1. Product Overview
2. Market Definition
3. Segmentation
4. Assumptions and Acronyms
3. Research Methodology
1. Research Objectives
2. Primary Research
3. Secondary Research
4. Forecast Model
5. Market Size Estimation
4. Average Pricing Analysis
5. Macro-Economic Indicators
6. Market Dynamics
1. Growth Drivers
2. Restraints
3. Opportunity
4. Trends
7. Correlation & Regression Analysis
1. Correlation Matrix
2. Regression Matrix
8. Recent Development, Policies & Regulatory Landscape
9. Risk Analysis
1. Demand Risk Analysis
2. Supply Risk Analysis
10. Global Predictive Analytics in Banking Market Analysis
1. Porters Five Forces
1. Threat of New Entrants
2. Bargaining Power of Suppliers
3. Threat of Substitutes
4. Rivalry
2. PEST Analysis
1. Political
2. Economic
3. Social
4. Technological
11. Global Predictive Analytics in Banking Market
1. Market Size & forecast, 2020A-2030F
1. By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
2. By Volume (Million Units) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12. Global Predictive Analytics in Banking Market: Market Segmentation
1. By Regions
1. North America:(U.S. and Canada), By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
2. Latin America: (Brazil, Mexico, Argentina, Rest of Latin America), By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
3. Europe: (Germany, UK, France, Italy, Spain, BENELUX, NORDIC, Hungary, Poland, Turkey, Russia, Rest of Europe), By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
4. Asia-Pacific: (China, India, Japan, South Korea, Indonesia, Malaysia, Australia, New Zealand, Rest of Asia Pacific), By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
5. Middle East and Africa: (Israel, GCC, North Africa, South Africa, Rest of Middle East and Africa), By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
2. By Deployment Mode: Market Share (2020-2030F)
1. On-Premise, By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
2. Cloud, By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
3. By Application: Market Share (2020-2030F)
1. Fraud Detection and Prevention, By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
2. Customer Management, By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
3. Sales and Marketing, By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030
4. Workforce Management, By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
5. Others, By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030
Company Profile
1. Alteryx Inc.
1. Company Overview
2. Company Total Revenue (Financials)
3. Market Potential
4. Global Presence
5. Key Performance Indicators
6. SWOT Analysis
7. Product Launch
2. Tableau Software Inc.
3. KXEN
4. SAS Institute Inc.
5. TIBCO Software Inc
6. Microsoft corporation
7. SAP SE
8. Salford Systems
9. IBM Corporation
10. Oracle Corporation
11. FICO
12. Teradata Corporation
13. Other Prominent Players
Consultant Recommendation
**The above-given segmentations and companies could be subjected to further modification based on in-depth feasibility studies conducted for the final deliverable.
Research Methodology:
Predictive Analytics in Banking Market Size Estimation
To estimate market size and trends, we use a combination of top-down and bottom-up methods. This allows us to evaluate the market from various perspectives—by company, region, product type, and end users.
Our estimates are based on actual sales data, excluding any discounts. Segment breakdowns and market shares are calculated using weighted averages based on usage rates and average prices. Regional insights are determined by how widely a product or service is adopted in each area.
Key companies are identified through secondary sources like industry reports and company filings. We then verify revenue estimates and other key data points through primary research, including interviews with industry experts, company executives, and decision-makers.
We take into account all relevant factors that could influence the market and validate our findings with real-world input. Our final insights combine both qualitative and quantitative data to provide a well-rounded view. Please note, these estimates do not account for unexpected changes such as inflation, economic downturns, or policy shifts.
Data Source
Secondary Sources
This study draws on a wide range of secondary sources, including press releases, annual reports, non-profit organizations, industry associations, government agencies, and customs data. We also referred to reputable databases and directories such as Bloomberg, Wind Info, Hoovers, Factiva, Trading Economics, Statista, and others. Additional references include investor presentations, company filings (e.g., SEC), economic data, and documents from regulatory and industry bodies.
These sources were used to gather technical and market-focused insights, identify key players, analyze market segmentation and classification, and track major trends and developments across industries.
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Primary Sources
As part of our primary research, we interviewed a variety of stakeholders from both the supply and demand sides to gather valuable qualitative and quantitative insights.
On the supply side, we spoke with product manufacturers, competitors, industry experts, research institutions, distributors, traders, and raw material suppliers. On the demand side, we engaged with business leaders, marketing and sales heads, technology and innovation directors, supply chain executives, and end users across key organizations.
These conversations helped us better understand market segmentation, pricing, applications, leading players, supply chains, demand trends, industry outlook, and key market dynamics—including risks, opportunities, barriers, and strategic developments.
Key Data Information from Primary Sources
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