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.

Methodology/Research Approach

This research study involved the extensive usage of both primary and secondary data sources. The research process involved the study of various factors affecting the industry, including the government policy, market environment, competitive landscape, historical data, present trends in the market, technological innovation, upcoming technologies and the technical progress in related industry, and market risks, opportunities, market barriers and challenges. The following illustrative figure shows the market research methodology applied in this report.

Research Programs/Design

Historical Data (2015-2019)	Industry Trends Competitive Landscape By Company Expansion Mergers and Acquisitions Market Segment by Type by Application By Regions/ Geography	Value Status and Outlook Value for Major Players Market Share Growth Rate Present Situation Analysis Value Market Share Growth Rate Present Situation Analysis
Influencing Factors	Market Environment Government Policy Technological Changes Market Risks	Market Drivers Growing Demand of Downstream Reduction in Cost
Market Forecast (2021-2026)	Overall Size by Type by Application By Regions/Geography	Key Data (Value) Market Share Growth Rate CAGR (2021-2026)

Market Size Estimation

Top-down and bottom-up approaches are used to validate the global Voluntary Carbon Offset market size market and estimate the market size for Company, regions segments, product segments and Application (end users).

The market estimations in this report are based on the marketed sale price of Voluntary Carbon Offset (excluding any discounts provided by the player, distributor, wholesaler or traders). The percentage splits, market share, and breakdowns of the product segments are derived on the basis of weights assigned to each of the segments on the basis of their utilization rate and average sale price. The regional splits of the overall Voluntary Carbon Offset market and its sub-segments are based on the percentage adoption or utilization of the given product in the respective region or country.

Major Company in the market is identified through secondary research and their market revenues determined through primary and secondary research. Secondary research included the research of the annual and financial reports of the top Company; whereas, primary research included extensive interviews of key opinion leaders and industry experts such as experienced front-line staff, directors, CEOs and marketing executives. The percentage splits, market share, Growth Rate and breakdowns of the product markets are determined through using secondary sources and verified through the primary sources.

All possible factors that influence the markets included in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data. The market size for top-level markets and sub-segments is normalized, and the effect of inflation, economic downturns, and regulatory & policy changes or other factors are not accounted for in the market forecast. This data is combined and added with detailed inputs and analysis from Market Intellix and presented in this report

The following figure shows an illustrative representation of the overall market size estimation process used for this study.

Market Breakdown and Data Triangulation

After complete market engineering with calculations for market statistics; market size estimations; market forecasting; market breakdown; and data triangulation, extensive primary research was conducted to gather information and verify and validate the critical numbers arrived at. In the complete market engineering process, both top-down and bottom-up approaches were extensively used, along with several data triangulation methods, to perform market estimation and market forecasting for the overall market segments and sub-segments listed in this report. Extensive qualitative and further quantitative analysis is also done from all the numbers arrived at in the complete market engineering process to list key information throughout the report.

Data Source

Secondary Sources

Secondary sources include such as press releases, annual reports, non-profit organizations, industry associations, governmental agencies and customs data, etc. This research study involves the usage of widespread secondary sources, directories, databases such as Bloomberg Business, Wind Info, Hoovers, Factiva (Dow Jones & Company), and TRADING ECONOMICS, and News Network, statista, Federal Reserve Economic Data, annual reports, BIS Statistics, ICIS; company house documents; CAS(American Chemical Society); investor presentations; and SEC filings of companies. Secondary research was used to identify and collect information useful for the extensive, technical, market-oriented, and Hospitals study of the Voluntary Carbon Offset market. It was also used to obtain important information about the top companies, market classification and segmentation according to industry trends to the bottom-most level, and key developments related to market and technology perspectives.

Market Size	Segmental value Geographic Penetration Product Adoption Rate for Different market	Journals, Websites, and Press Releases Annual Reports and SEC Filings Company Websites and Press Releases Public and Paid Databases Market Intellix Data Repository
Market Position of Top Company	Product Financials Geographic value Mix Total Company value Business/Segmental value Mix
Qualitative Analysis	Influence Factors Market Potential Market Risks and Opportunities Industry Trends Geographical Features Government Policies	Company Websites and Press Releases Public and Paid Databases Annual Reports Industry Associations Market Intellix Data Repository

Primary Sources

In the primary research process, various sources from both the supply and demand sides were interviewed to obtain qualitative and quantitative information for this report. The primary sources from the supply side include product Company (and their competitors), opinion leaders, industry experts, research institutions, distributors, dealer and traders, as well as the raw materials suppliers and producers, etc.

The primary sources from the demand side include industry experts such as business leaders, marketing and sales directors, technology and innovation directors, supply chain executive, end use (product buyers), and related key executives from various key companies and organizations operating in the global market.

Primary research was conducted to identify segmentation Type, product price range, product Application, key Company, raw materials supply and the downstream demand, industry status and outlook, and key market dynamics such as risks, influence factors, opportunities, market barriers, industry trends, and key player strategies.

Key Executives Interviewed

Key Data Information from Primary Sources

Primary Sources	Parameters	Key Data
Market Segments(by Application, by Type)	Value by Type Status and Forecast Value by Application Value by Regions, Status and Forecast (2021-2026)	Value Market Share by Type Value Growth Rate by Type Value by Application Percentage and Growth Rate by Application Value Growth Rate and Market Share by Regions Market Size Status and Forecast (2021-2026)
Total Market	Overall Size, Status and Forecast	Market Size Status and Forecast (2021-2026)