Data Analytics in Banking Market By Component (Solution, Services), By Deployment Model (On-Premise, Cloud), By Organization Size (Large Enterprises, Small & Medium Sized Enterprises), By Type (Predictive Analytics, Prescriptive Analytics, Descriptive Ana
Description
Data Analytics in Banking Market By Component (Solution, Services), By Deployment Model (On-Premise, Cloud), By Organization Size (Large Enterprises, Small & Medium Sized Enterprises), By Type (Predictive Analytics, Prescriptive Analytics, Descriptive Analytics, Others), By Application (Fraud Detection & Prevention, Customer Management, Sales & Marketing, Workforce Management, Others): Global Opportunity Analysis and Industry Forecast, 2021-2031
Banking data analytics is the use of different tools and technologies to gather, process, and analyze raw data within the banking business, as well as the use of data analytics. Customer segmentation, credit risk management, and fraud detection are examples of banking analytics. In addition, as banking products become more commoditized, analytics can help banks stand out and achieve a competitive advantage. Moreover, open channels and access are required by banks in order for analytical information to flow freely throughout the organization.
The growth of the data analytics market is fueled by an increase in the adoption of big data analytics across various industries such as BFSI, retail, and manufacturing to gain valuable insights, as well as a surge in demand for statistical analysis due to the massive volume of unstructured data generated by various organizations. Moreover, the market's growth is aided by an increase in demand for data science and predictive modeling. However, the market's expansion is likely to be hampered by a shortage of experienced personnel and expensive implementation costs. In contrast, the advent of sophisticated technologies such as IoT and AI is likely to give significant chances for the data analytics market to grow in the coming years.
The data analytics in banking market is segmented into component, deployment mode, type, application, organization size, and region. By component, the market is differentiated into solution and services. The services segment is further segregated into implementation & integration services training & support service, and consulting service. Depending on deployment model, it is fragmented into on-premise and cloud. By organization size, it is fragmented into large enterprise and small & medium sized enterprises. By type, the market is differentiated into predictive analytics, prescriptive analytics, descriptive analytics, and others. The applications covered in the study includes fraud detection & prevention, customer management, sales & marketing, workforce management, and others. Region wise, the market is analyzed across North America, Europe, Asia-Pacific, and LAMEA.
The data analytics in banking market analysis includes top companies operating in the market such as Adobe Inc., Alteryx, Inc., Amazon Web Services, Inc., Aspire systems, Dell Inc., Google, IBM, Microsoft Corporation, Mu Sigma, Oracle, SAP SE, SAS Institute Inc., Sisense Inc., Tableau Software, LLC (Salesforce), Zoho Corporation Pvt. Ltd, KNIME AG, and TIBCO Software Inc. These players have adopted various strategies to increase their market penetration and strengthen their position in the data analytics in banking industry.
KEY BENEFITS FOR STAKEHOLDERS
The study provides in-depth analysis of the global data analytics in banking market along with the current trends and future estimations to illustrate the imminent investment pockets.
Information about key drivers, restrains, & opportunities and their impact analysis on the global data analytics in banking market size are provided in the report.
The Porter’s five forces analysis illustrates the potency of buyers and suppliers operating in the industry.
The quantitative analysis of the global data analytics in banking market from 2021 to 2031 is provided to determine the market potential.
Key Market Segments
By Application
Fraud Detection Prevention
Customer Management
Sales Marketing
Workforce Management
Others
By Component
Solution
Services
By Deployment Model
On-Premise
Cloud
By Organization Size
Large Enterprises
Small Medium Sized Enterprises
By Type
Predictive Analytics
Prescriptive Analytics
Descriptive Analytics
Others
By Region
North America
U.S.
Canada
Europe
United Kingdom
Germany
France
Italy
Spain
Russia
Rest of Europe
Asia-Pacific
China
Japan
India
Australia
South Korea
Singapore
Rest of Asia-Pacific
LAMEA
Latin America
Middle East
Africa
Key Market Players
Adobe Inc.
Alteryx, Inc.
Amazon Web Services, Inc.
Aspire Systems
Dell Inc.
Google
IBM
Microsoft Corporation
Mu Sigma
Oracle Corporation
SAP SE
SAS Institute Inc.
Sisense Inc.
Tableau software, LLC (Salesforce)
Zoho Corporation Pvt. Ltd
KNIME AG
TIBCO Software Inc.
Please Note: It will take 7-10 business days to complete the report upon order confirmation.
Banking data analytics is the use of different tools and technologies to gather, process, and analyze raw data within the banking business, as well as the use of data analytics. Customer segmentation, credit risk management, and fraud detection are examples of banking analytics. In addition, as banking products become more commoditized, analytics can help banks stand out and achieve a competitive advantage. Moreover, open channels and access are required by banks in order for analytical information to flow freely throughout the organization.
The growth of the data analytics market is fueled by an increase in the adoption of big data analytics across various industries such as BFSI, retail, and manufacturing to gain valuable insights, as well as a surge in demand for statistical analysis due to the massive volume of unstructured data generated by various organizations. Moreover, the market's growth is aided by an increase in demand for data science and predictive modeling. However, the market's expansion is likely to be hampered by a shortage of experienced personnel and expensive implementation costs. In contrast, the advent of sophisticated technologies such as IoT and AI is likely to give significant chances for the data analytics market to grow in the coming years.
The data analytics in banking market is segmented into component, deployment mode, type, application, organization size, and region. By component, the market is differentiated into solution and services. The services segment is further segregated into implementation & integration services training & support service, and consulting service. Depending on deployment model, it is fragmented into on-premise and cloud. By organization size, it is fragmented into large enterprise and small & medium sized enterprises. By type, the market is differentiated into predictive analytics, prescriptive analytics, descriptive analytics, and others. The applications covered in the study includes fraud detection & prevention, customer management, sales & marketing, workforce management, and others. Region wise, the market is analyzed across North America, Europe, Asia-Pacific, and LAMEA.
The data analytics in banking market analysis includes top companies operating in the market such as Adobe Inc., Alteryx, Inc., Amazon Web Services, Inc., Aspire systems, Dell Inc., Google, IBM, Microsoft Corporation, Mu Sigma, Oracle, SAP SE, SAS Institute Inc., Sisense Inc., Tableau Software, LLC (Salesforce), Zoho Corporation Pvt. Ltd, KNIME AG, and TIBCO Software Inc. These players have adopted various strategies to increase their market penetration and strengthen their position in the data analytics in banking industry.
KEY BENEFITS FOR STAKEHOLDERS
The study provides in-depth analysis of the global data analytics in banking market along with the current trends and future estimations to illustrate the imminent investment pockets.
Information about key drivers, restrains, & opportunities and their impact analysis on the global data analytics in banking market size are provided in the report.
The Porter’s five forces analysis illustrates the potency of buyers and suppliers operating in the industry.
The quantitative analysis of the global data analytics in banking market from 2021 to 2031 is provided to determine the market potential.
Key Market Segments
By Application
Fraud Detection Prevention
Customer Management
Sales Marketing
Workforce Management
Others
By Component
Solution
Services
By Deployment Model
On-Premise
Cloud
By Organization Size
Large Enterprises
Small Medium Sized Enterprises
By Type
Predictive Analytics
Prescriptive Analytics
Descriptive Analytics
Others
By Region
North America
U.S.
Canada
Europe
United Kingdom
Germany
France
Italy
Spain
Russia
Rest of Europe
Asia-Pacific
China
Japan
India
Australia
South Korea
Singapore
Rest of Asia-Pacific
LAMEA
Latin America
Middle East
Africa
Key Market Players
Adobe Inc.
Alteryx, Inc.
Amazon Web Services, Inc.
Aspire Systems
Dell Inc.
IBM
Microsoft Corporation
Mu Sigma
Oracle Corporation
SAP SE
SAS Institute Inc.
Sisense Inc.
Tableau software, LLC (Salesforce)
Zoho Corporation Pvt. Ltd
KNIME AG
TIBCO Software Inc.
Please Note: It will take 7-10 business days to complete the report upon order confirmation.
Table of Contents
353 Pages
- CHAPTER 1:INTRODUCTION
- 1.1.Report description
- 1.2.Key market segments
- 1.3.Key benefits to the stakeholders
- 1.4.Research Methodology
- 1.4.1.Secondary research
- 1.4.2.Primary research
- 1.4.3.Analyst tools and models
- CHAPTER 2:EXECUTIVE SUMMARY
- 2.1.Key findings of the study
- 2.2.CXO Perspective
- CHAPTER 3:MARKET OVERVIEW
- 3.1.Market definition and scope
- 3.2.Key findings
- 3.2.1.Top investment pockets
- 3.3.Porter’s five forces analysis
- 3.4.Top player positioning
- 3.5.Market dynamics
- 3.5.1.Drivers
- 3.5.2.Restraints
- 3.5.3.Opportunities
- 3.6.COVID-19 Impact Analysis on the market
- CHAPTER 4: DATA ANALYTICS IN BANKING MARKET, BY COMPONENT
- 4.1 Overview
- 4.1.1 Market size and forecast
- 4.2 Solution
- 4.2.1 Key market trends, growth factors and opportunities
- 4.2.2 Market size and forecast, by region
- 4.2.3 Market analysis by country
- 4.3 Services
- 4.3.1 Key market trends, growth factors and opportunities
- 4.3.2 Market size and forecast, by region
- 4.3.3 Market analysis by country
- CHAPTER 5: DATA ANALYTICS IN BANKING MARKET, BY DEPLOYMENT MODEL
- 5.1 Overview
- 5.1.1 Market size and forecast
- 5.2 On-Premise
- 5.2.1 Key market trends, growth factors and opportunities
- 5.2.2 Market size and forecast, by region
- 5.2.3 Market analysis by country
- 5.3 Cloud
- 5.3.1 Key market trends, growth factors and opportunities
- 5.3.2 Market size and forecast, by region
- 5.3.3 Market analysis by country
- CHAPTER 6: DATA ANALYTICS IN BANKING MARKET, BY ORGANIZATION SIZE
- 6.1 Overview
- 6.1.1 Market size and forecast
- 6.2 Large Enterprises
- 6.2.1 Key market trends, growth factors and opportunities
- 6.2.2 Market size and forecast, by region
- 6.2.3 Market analysis by country
- 6.3 Small & Medium Sized Enterprises
- 6.3.1 Key market trends, growth factors and opportunities
- 6.3.2 Market size and forecast, by region
- 6.3.3 Market analysis by country
- CHAPTER 7: DATA ANALYTICS IN BANKING MARKET, BY TYPE
- 7.1 Overview
- 7.1.1 Market size and forecast
- 7.2 Predictive Analytics
- 7.2.1 Key market trends, growth factors and opportunities
- 7.2.2 Market size and forecast, by region
- 7.2.3 Market analysis by country
- 7.3 Prescriptive Analytics
- 7.3.1 Key market trends, growth factors and opportunities
- 7.3.2 Market size and forecast, by region
- 7.3.3 Market analysis by country
- 7.4 Descriptive Analytics
- 7.4.1 Key market trends, growth factors and opportunities
- 7.4.2 Market size and forecast, by region
- 7.4.3 Market analysis by country
- 7.5 Others
- 7.5.1 Key market trends, growth factors and opportunities
- 7.5.2 Market size and forecast, by region
- 7.5.3 Market analysis by country
- CHAPTER 8: DATA ANALYTICS IN BANKING MARKET, BY APPLICATION
- 8.1 Overview
- 8.1.1 Market size and forecast
- 8.2 Fraud Detection & Prevention
- 8.2.1 Key market trends, growth factors and opportunities
- 8.2.2 Market size and forecast, by region
- 8.2.3 Market analysis by country
- 8.3 Customer Management
- 8.3.1 Key market trends, growth factors and opportunities
- 8.3.2 Market size and forecast, by region
- 8.3.3 Market analysis by country
- 8.4 Sales & Marketing
- 8.4.1 Key market trends, growth factors and opportunities
- 8.4.2 Market size and forecast, by region
- 8.4.3 Market analysis by country
- 8.5 Workforce Management
- 8.5.1 Key market trends, growth factors and opportunities
- 8.5.2 Market size and forecast, by region
- 8.5.3 Market analysis by country
- 8.6 Others
- 8.6.1 Key market trends, growth factors and opportunities
- 8.6.2 Market size and forecast, by region
- 8.6.3 Market analysis by country
- CHAPTER 9: DATA ANALYTICS IN BANKING MARKET, BY REGION
- 9.1 Overview
- 9.1.1 Market size and forecast
- 9.2 North America
- 9.2.1 Key trends and opportunities
- 9.2.2 North America Market size and forecast, by Component
- 9.2.3 North America Market size and forecast, by Deployment Model
- 9.2.4 North America Market size and forecast, by Organization Size
- 9.2.5 North America Market size and forecast, by Type
- 9.2.6 North America Market size and forecast, by Application
- 9.2.7 North America Market size and forecast, by country
- 9.2.7.1 U.S.
- 9.2.7.1.1 Market size and forecast, by Component
- 9.2.7.1.2 Market size and forecast, by Deployment Model
- 9.2.7.1.3 Market size and forecast, by Organization Size
- 9.2.7.1.4 Market size and forecast, by Type
- 9.2.7.1.5 Market size and forecast, by Application
- 9.2.7.2 Canada
- 9.2.7.2.1 Market size and forecast, by Component
- 9.2.7.2.2 Market size and forecast, by Deployment Model
- 9.2.7.2.3 Market size and forecast, by Organization Size
- 9.2.7.2.4 Market size and forecast, by Type
- 9.2.7.2.5 Market size and forecast, by Application
- 9.3 Europe
- 9.3.1 Key trends and opportunities
- 9.3.2 Europe Market size and forecast, by Component
- 9.3.3 Europe Market size and forecast, by Deployment Model
- 9.3.4 Europe Market size and forecast, by Organization Size
- 9.3.5 Europe Market size and forecast, by Type
- 9.3.6 Europe Market size and forecast, by Application
- 9.3.7 Europe Market size and forecast, by country
- 9.3.7.1 United Kingdom
- 9.3.7.1.1 Market size and forecast, by Component
- 9.3.7.1.2 Market size and forecast, by Deployment Model
- 9.3.7.1.3 Market size and forecast, by Organization Size
- 9.3.7.1.4 Market size and forecast, by Type
- 9.3.7.1.5 Market size and forecast, by Application
- 9.3.7.2 Germany
- 9.3.7.2.1 Market size and forecast, by Component
- 9.3.7.2.2 Market size and forecast, by Deployment Model
- 9.3.7.2.3 Market size and forecast, by Organization Size
- 9.3.7.2.4 Market size and forecast, by Type
- 9.3.7.2.5 Market size and forecast, by Application
- 9.3.7.3 France
- 9.3.7.3.1 Market size and forecast, by Component
- 9.3.7.3.2 Market size and forecast, by Deployment Model
- 9.3.7.3.3 Market size and forecast, by Organization Size
- 9.3.7.3.4 Market size and forecast, by Type
- 9.3.7.3.5 Market size and forecast, by Application
- 9.3.7.4 Italy
- 9.3.7.4.1 Market size and forecast, by Component
- 9.3.7.4.2 Market size and forecast, by Deployment Model
- 9.3.7.4.3 Market size and forecast, by Organization Size
- 9.3.7.4.4 Market size and forecast, by Type
- 9.3.7.4.5 Market size and forecast, by Application
- 9.3.7.5 Spain
- 9.3.7.5.1 Market size and forecast, by Component
- 9.3.7.5.2 Market size and forecast, by Deployment Model
- 9.3.7.5.3 Market size and forecast, by Organization Size
- 9.3.7.5.4 Market size and forecast, by Type
- 9.3.7.5.5 Market size and forecast, by Application
- 9.3.7.6 Russia
- 9.3.7.6.1 Market size and forecast, by Component
- 9.3.7.6.2 Market size and forecast, by Deployment Model
- 9.3.7.6.3 Market size and forecast, by Organization Size
- 9.3.7.6.4 Market size and forecast, by Type
- 9.3.7.6.5 Market size and forecast, by Application
- 9.3.7.7 Rest of Europe
- 9.3.7.7.1 Market size and forecast, by Component
- 9.3.7.7.2 Market size and forecast, by Deployment Model
- 9.3.7.7.3 Market size and forecast, by Organization Size
- 9.3.7.7.4 Market size and forecast, by Type
- 9.3.7.7.5 Market size and forecast, by Application
- 9.4 Asia-Pacific
- 9.4.1 Key trends and opportunities
- 9.4.2 Asia-Pacific Market size and forecast, by Component
- 9.4.3 Asia-Pacific Market size and forecast, by Deployment Model
- 9.4.4 Asia-Pacific Market size and forecast, by Organization Size
- 9.4.5 Asia-Pacific Market size and forecast, by Type
- 9.4.6 Asia-Pacific Market size and forecast, by Application
- 9.4.7 Asia-Pacific Market size and forecast, by country
- 9.4.7.1 China
- 9.4.7.1.1 Market size and forecast, by Component
- 9.4.7.1.2 Market size and forecast, by Deployment Model
- 9.4.7.1.3 Market size and forecast, by Organization Size
- 9.4.7.1.4 Market size and forecast, by Type
- 9.4.7.1.5 Market size and forecast, by Application
- 9.4.7.2 Japan
- 9.4.7.2.1 Market size and forecast, by Component
- 9.4.7.2.2 Market size and forecast, by Deployment Model
- 9.4.7.2.3 Market size and forecast, by Organization Size
- 9.4.7.2.4 Market size and forecast, by Type
- 9.4.7.2.5 Market size and forecast, by Application
- 9.4.7.3 India
- 9.4.7.3.1 Market size and forecast, by Component
- 9.4.7.3.2 Market size and forecast, by Deployment Model
- 9.4.7.3.3 Market size and forecast, by Organization Size
- 9.4.7.3.4 Market size and forecast, by Type
- 9.4.7.3.5 Market size and forecast, by Application
- 9.4.7.4 Australia
- 9.4.7.4.1 Market size and forecast, by Component
- 9.4.7.4.2 Market size and forecast, by Deployment Model
- 9.4.7.4.3 Market size and forecast, by Organization Size
- 9.4.7.4.4 Market size and forecast, by Type
- 9.4.7.4.5 Market size and forecast, by Application
- 9.4.7.5 South Korea
- 9.4.7.5.1 Market size and forecast, by Component
- 9.4.7.5.2 Market size and forecast, by Deployment Model
- 9.4.7.5.3 Market size and forecast, by Organization Size
- 9.4.7.5.4 Market size and forecast, by Type
- 9.4.7.5.5 Market size and forecast, by Application
- 9.4.7.6 Singapore
- 9.4.7.6.1 Market size and forecast, by Component
- 9.4.7.6.2 Market size and forecast, by Deployment Model
- 9.4.7.6.3 Market size and forecast, by Organization Size
- 9.4.7.6.4 Market size and forecast, by Type
- 9.4.7.6.5 Market size and forecast, by Application
- 9.4.7.7 Rest of Asia-Pacific
- 9.4.7.7.1 Market size and forecast, by Component
- 9.4.7.7.2 Market size and forecast, by Deployment Model
- 9.4.7.7.3 Market size and forecast, by Organization Size
- 9.4.7.7.4 Market size and forecast, by Type
- 9.4.7.7.5 Market size and forecast, by Application
- 9.5 LAMEA
- 9.5.1 Key trends and opportunities
- 9.5.2 LAMEA Market size and forecast, by Component
- 9.5.3 LAMEA Market size and forecast, by Deployment Model
- 9.5.4 LAMEA Market size and forecast, by Organization Size
- 9.5.5 LAMEA Market size and forecast, by Type
- 9.5.6 LAMEA Market size and forecast, by Application
- 9.5.7 LAMEA Market size and forecast, by country
- 9.5.7.1 Latin America
- 9.5.7.1.1 Market size and forecast, by Component
- 9.5.7.1.2 Market size and forecast, by Deployment Model
- 9.5.7.1.3 Market size and forecast, by Organization Size
- 9.5.7.1.4 Market size and forecast, by Type
- 9.5.7.1.5 Market size and forecast, by Application
- 9.5.7.2 Middle East
- 9.5.7.2.1 Market size and forecast, by Component
- 9.5.7.2.2 Market size and forecast, by Deployment Model
- 9.5.7.2.3 Market size and forecast, by Organization Size
- 9.5.7.2.4 Market size and forecast, by Type
- 9.5.7.2.5 Market size and forecast, by Application
- 9.5.7.3 Africa
- 9.5.7.3.1 Market size and forecast, by Component
- 9.5.7.3.2 Market size and forecast, by Deployment Model
- 9.5.7.3.3 Market size and forecast, by Organization Size
- 9.5.7.3.4 Market size and forecast, by Type
- 9.5.7.3.5 Market size and forecast, by Application
- CHAPTER 10: COMPANY LANDSCAPE
- 10.1. Introduction
- 10.2. Top winning strategies
- 10.3. Product Mapping of Top 10 Player
- 10.4. Competitive Dashboard
- 10.5. Competitive Heatmap
- 10.6. Key developments
- CHAPTER 11: COMPANY PROFILES
- 11.1 Adobe Inc.
- 11.1.1 Company overview
- 11.1.2 Company snapshot
- 11.1.3 Operating business segments
- 11.1.4 Product portfolio
- 11.1.5 Business performance
- 11.1.6 Key strategic moves and developments
- 11.2 Alteryx, Inc.
- 11.2.1 Company overview
- 11.2.2 Company snapshot
- 11.2.3 Operating business segments
- 11.2.4 Product portfolio
- 11.2.5 Business performance
- 11.2.6 Key strategic moves and developments
- 11.3 Amazon Web Services, Inc.
- 11.3.1 Company overview
- 11.3.2 Company snapshot
- 11.3.3 Operating business segments
- 11.3.4 Product portfolio
- 11.3.5 Business performance
- 11.3.6 Key strategic moves and developments
- 11.4 Aspire Systems
- 11.4.1 Company overview
- 11.4.2 Company snapshot
- 11.4.3 Operating business segments
- 11.4.4 Product portfolio
- 11.4.5 Business performance
- 11.4.6 Key strategic moves and developments
- 11.5 Dell Inc.
- 11.5.1 Company overview
- 11.5.2 Company snapshot
- 11.5.3 Operating business segments
- 11.5.4 Product portfolio
- 11.5.5 Business performance
- 11.5.6 Key strategic moves and developments
- 11.6 Google
- 11.6.1 Company overview
- 11.6.2 Company snapshot
- 11.6.3 Operating business segments
- 11.6.4 Product portfolio
- 11.6.5 Business performance
- 11.6.6 Key strategic moves and developments
- 11.7 IBM
- 11.7.1 Company overview
- 11.7.2 Company snapshot
- 11.7.3 Operating business segments
- 11.7.4 Product portfolio
- 11.7.5 Business performance
- 11.7.6 Key strategic moves and developments
- 11.8 Microsoft Corporation
- 11.8.1 Company overview
- 11.8.2 Company snapshot
- 11.8.3 Operating business segments
- 11.8.4 Product portfolio
- 11.8.5 Business performance
- 11.8.6 Key strategic moves and developments
- 11.9 Mu Sigma
- 11.9.1 Company overview
- 11.9.2 Company snapshot
- 11.9.3 Operating business segments
- 11.9.4 Product portfolio
- 11.9.5 Business performance
- 11.9.6 Key strategic moves and developments
- 11.10 Oracle Corporation
- 11.10.1 Company overview
- 11.10.2 Company snapshot
- 11.10.3 Operating business segments
- 11.10.4 Product portfolio
- 11.10.5 Business performance
- 11.10.6 Key strategic moves and developments
- 11.11 SAP SE
- 11.11.1 Company overview
- 11.11.2 Company snapshot
- 11.11.3 Operating business segments
- 11.11.4 Product portfolio
- 11.11.5 Business performance
- 11.11.6 Key strategic moves and developments
- 11.12 SAS Institute Inc.
- 11.12.1 Company overview
- 11.12.2 Company snapshot
- 11.12.3 Operating business segments
- 11.12.4 Product portfolio
- 11.12.5 Business performance
- 11.12.6 Key strategic moves and developments
- 11.13 Sisense Inc.
- 11.13.1 Company overview
- 11.13.2 Company snapshot
- 11.13.3 Operating business segments
- 11.13.4 Product portfolio
- 11.13.5 Business performance
- 11.13.6 Key strategic moves and developments
- 11.14 Tableau software, LLC (Salesforce)
- 11.14.1 Company overview
- 11.14.2 Company snapshot
- 11.14.3 Operating business segments
- 11.14.4 Product portfolio
- 11.14.5 Business performance
- 11.14.6 Key strategic moves and developments
- 11.15 Zoho Corporation Pvt. Ltd
- 11.15.1 Company overview
- 11.15.2 Company snapshot
- 11.15.3 Operating business segments
- 11.15.4 Product portfolio
- 11.15.5 Business performance
- 11.15.6 Key strategic moves and developments
- 11.16 KNIME AG
- 11.16.1 Company overview
- 11.16.2 Company snapshot
- 11.16.3 Operating business segments
- 11.16.4 Product portfolio
- 11.16.5 Business performance
- 11.16.6 Key strategic moves and developments
- 11.17 TIBCO Software Inc.
- 11.17.1 Company overview
- 11.17.2 Company snapshot
- 11.17.3 Operating business segments
- 11.17.4 Product portfolio
- 11.17.5 Business performance
- 11.17.6 Key strategic moves and developments
- LIST OF TABLES
- TABLE 1. GLOBAL DATA ANALYTICS IN BANKING MARKET, BY COMPONENT, 2021-2031,($MILLION)
- TABLE 2. DATA ANALYTICS IN BANKING MARKET REVENUE, FOR SOLUTION, BY REGION , 2021-2031,($MILLION)
- TABLE 3. DATA ANALYTICS IN BANKING MARKET FOR SOLUTION BY COUNTRY, 2021-2031,($MILLION)
- TABLE 4. DATA ANALYTICS IN BANKING MARKET REVENUE, FOR SERVICES, BY REGION , 2021-2031,($MILLION)
- TABLE 5. DATA ANALYTICS IN BANKING MARKET FOR SERVICES BY COUNTRY, 2021-2031,($MILLION)
- TABLE 6. GLOBAL DATA ANALYTICS IN BANKING MARKET, BY DEPLOYMENT MODEL, 2021-2031,($MILLION)
- TABLE 7. DATA ANALYTICS IN BANKING MARKET REVENUE, FOR ON-PREMISE, BY REGION , 2021-2031,($MILLION)
- TABLE 8. DATA ANALYTICS IN BANKING MARKET FOR ON-PREMISE BY COUNTRY, 2021-2031,($MILLION)
- TABLE 9. DATA ANALYTICS IN BANKING MARKET REVENUE, FOR CLOUD, BY REGION , 2021-2031,($MILLION)
- TABLE 10. DATA ANALYTICS IN BANKING MARKET FOR CLOUD BY COUNTRY, 2021-2031,($MILLION)
- TABLE 11. GLOBAL DATA ANALYTICS IN BANKING MARKET, BY ORGANIZATION SIZE, 2021-2031,($MILLION)
- TABLE 12. DATA ANALYTICS IN BANKING MARKET REVENUE, FOR LARGE ENTERPRISES, BY REGION , 2021-2031,($MILLION)
- TABLE 13. DATA ANALYTICS IN BANKING MARKET FOR LARGE ENTERPRISES BY COUNTRY, 2021-2031,($MILLION)
- TABLE 14. DATA ANALYTICS IN BANKING MARKET REVENUE, FOR SMALL & MEDIUM SIZED ENTERPRISES, BY REGION , 2021-2031,($MILLION)
- TABLE 15. DATA ANALYTICS IN BANKING MARKET FOR SMALL & MEDIUM SIZED ENTERPRISES BY COUNTRY, 2021-2031,($MILLION)
- TABLE 16. GLOBAL DATA ANALYTICS IN BANKING MARKET, BY TYPE, 2021-2031,($MILLION)
- TABLE 17. DATA ANALYTICS IN BANKING MARKET REVENUE, FOR PREDICTIVE ANALYTICS, BY REGION , 2021-2031,($MILLION)
- TABLE 18. DATA ANALYTICS IN BANKING MARKET FOR PREDICTIVE ANALYTICS BY COUNTRY, 2021-2031,($MILLION)
- TABLE 19. DATA ANALYTICS IN BANKING MARKET REVENUE, FOR PRESCRIPTIVE ANALYTICS, BY REGION , 2021-2031,($MILLION)
- TABLE 20. DATA ANALYTICS IN BANKING MARKET FOR PRESCRIPTIVE ANALYTICS BY COUNTRY, 2021-2031,($MILLION)
- TABLE 21. DATA ANALYTICS IN BANKING MARKET REVENUE, FOR DESCRIPTIVE ANALYTICS, BY REGION , 2021-2031,($MILLION)
- TABLE 22. DATA ANALYTICS IN BANKING MARKET FOR DESCRIPTIVE ANALYTICS BY COUNTRY, 2021-2031,($MILLION)
- TABLE 23. DATA ANALYTICS IN BANKING MARKET REVENUE, FOR OTHERS, BY REGION , 2021-2031,($MILLION)
- TABLE 24. DATA ANALYTICS IN BANKING MARKET FOR OTHERS BY COUNTRY, 2021-2031,($MILLION)
- TABLE 25. GLOBAL DATA ANALYTICS IN BANKING MARKET, BY APPLICATION, 2021-2031,($MILLION)
- TABLE 26. DATA ANALYTICS IN BANKING MARKET REVENUE, FOR FRAUD DETECTION & PREVENTION, BY REGION , 2021-2031,($MILLION)
- TABLE 27. DATA ANALYTICS IN BANKING MARKET FOR FRAUD DETECTION & PREVENTION BY COUNTRY, 2021-2031,($MILLION)
- TABLE 28. DATA ANALYTICS IN BANKING MARKET REVENUE, FOR CUSTOMER MANAGEMENT, BY REGION , 2021-2031,($MILLION)
- TABLE 29. DATA ANALYTICS IN BANKING MARKET FOR CUSTOMER MANAGEMENT BY COUNTRY, 2021-2031,($MILLION)
- TABLE 30. DATA ANALYTICS IN BANKING MARKET REVENUE, FOR SALES & MARKETING, BY REGION , 2021-2031,($MILLION)
- TABLE 31. DATA ANALYTICS IN BANKING MARKET FOR SALES & MARKETING BY COUNTRY, 2021-2031,($MILLION)
- TABLE 32. DATA ANALYTICS IN BANKING MARKET REVENUE, FOR WORKFORCE MANAGEMENT, BY REGION , 2021-2031,($MILLION)
- TABLE 33. DATA ANALYTICS IN BANKING MARKET FOR WORKFORCE MANAGEMENT BY COUNTRY, 2021-2031,($MILLION)
- TABLE 34. DATA ANALYTICS IN BANKING MARKET REVENUE, FOR OTHERS, BY REGION , 2021-2031,($MILLION)
- TABLE 35. DATA ANALYTICS IN BANKING MARKET FOR OTHERS BY COUNTRY, 2021-2031,($MILLION)
- TABLE 36. DATA ANALYTICS IN BANKING MARKET, BY REGION, 2021-2031,($MILLION)
- TABLE 37. NORTH AMERICA DATA ANALYTICS IN BANKING MARKET, BY COMPONENT, 2021-2031,($MILLION)
- TABLE 38. NORTH AMERICA DATA ANALYTICS IN BANKING MARKET, BY DEPLOYMENT MODEL, 2021-2031,($MILLION)
- TABLE 39. NORTH AMERICA DATA ANALYTICS IN BANKING MARKET, BY ORGANIZATION SIZE, 2021-2031,($MILLION)
- TABLE 40. NORTH AMERICA DATA ANALYTICS IN BANKING MARKET, BY TYPE, 2021-2031,($MILLION)
- TABLE 41. NORTH AMERICA DATA ANALYTICS IN BANKING MARKET, BY APPLICATION, 2021-2031,($MILLION)
- TABLE 42. NORTH AMERICA DATA ANALYTICS IN BANKING MARKET, BY COUNTRY, 2021-2031,($MILLION)
- TABLE 43. U.S. DATA ANALYTICS IN BANKING MARKET, BY COMPONENT, 2021-2031,($MILLION)
- TABLE 44. U.S. DATA ANALYTICS IN BANKING MARKET, BY DEPLOYMENT MODEL, 2021-2031,($MILLION)
- TABLE 45. U.S. DATA ANALYTICS IN BANKING MARKET, BY ORGANIZATION SIZE, 2021-2031,($MILLION)
- TABLE 46. U.S. DATA ANALYTICS IN BANKING MARKET, BY TYPE, 2021-2031,($MILLION)
- TABLE 47. U.S. DATA ANALYTICS IN BANKING MARKET, BY APPLICATION, 2021-2031,($MILLION)
- TABLE 48. CANADA DATA ANALYTICS IN BANKING MARKET, BY COMPONENT, 2021-2031,($MILLION)
- TABLE 49. CANADA DATA ANALYTICS IN BANKING MARKET, BY DEPLOYMENT MODEL, 2021-2031,($MILLION)
- TABLE 50. CANADA DATA ANALYTICS IN BANKING MARKET, BY ORGANIZATION SIZE, 2021-2031,($MILLION)
- TABLE 51. CANADA DATA ANALYTICS IN BANKING MARKET, BY TYPE, 2021-2031,($MILLION)
- TABLE 52. CANADA DATA ANALYTICS IN BANKING MARKET, BY APPLICATION, 2021-2031,($MILLION)
- TABLE 53. EUROPE DATA ANALYTICS IN BANKING MARKET, BY COMPONENT, 2021-2031,($MILLION)
- TABLE 54. EUROPE DATA ANALYTICS IN BANKING MARKET, BY DEPLOYMENT MODEL, 2021-2031,($MILLION)
- TABLE 55. EUROPE DATA ANALYTICS IN BANKING MARKET, BY ORGANIZATION SIZE, 2021-2031,($MILLION)
- TABLE 56. EUROPE DATA ANALYTICS IN BANKING MARKET, BY TYPE, 2021-2031,($MILLION)
- TABLE 57. EUROPE DATA ANALYTICS IN BANKING MARKET, BY APPLICATION, 2021-2031,($MILLION)
- TABLE 58. EUROPE DATA ANALYTICS IN BANKING MARKET, BY COUNTRY, 2021-2031,($MILLION)
- TABLE 59. UNITED KINGDOM DATA ANALYTICS IN BANKING MARKET, BY COMPONENT, 2021-2031,($MILLION)
- TABLE 60. UNITED KINGDOM DATA ANALYTICS IN BANKING MARKET, BY DEPLOYMENT MODEL, 2021-2031,($MILLION)
- TABLE 61. UNITED KINGDOM DATA ANALYTICS IN BANKING MARKET, BY ORGANIZATION SIZE, 2021-2031,($MILLION)
- TABLE 62. UNITED KINGDOM DATA ANALYTICS IN BANKING MARKET, BY TYPE, 2021-2031,($MILLION)
- TABLE 63. UNITED KINGDOM DATA ANALYTICS IN BANKING MARKET, BY APPLICATION, 2021-2031,($MILLION)
- TABLE 64. GERMANY DATA ANALYTICS IN BANKING MARKET, BY COMPONENT, 2021-2031,($MILLION)
- TABLE 65. GERMANY DATA ANALYTICS IN BANKING MARKET, BY DEPLOYMENT MODEL, 2021-2031,($MILLION)
- TABLE 66. GERMANY DATA ANALYTICS IN BANKING MARKET, BY ORGANIZATION SIZE, 2021-2031,($MILLION)
- TABLE 67. GERMANY DATA ANALYTICS IN BANKING MARKET, BY TYPE, 2021-2031,($MILLION)
- TABLE 68. GERMANY DATA ANALYTICS IN BANKING MARKET, BY APPLICATION, 2021-2031,($MILLION)
- TABLE 69. FRANCE DATA ANALYTICS IN BANKING MARKET, BY COMPONENT, 2021-2031,($MILLION)
- TABLE 70. FRANCE DATA ANALYTICS IN BANKING MARKET, BY DEPLOYMENT MODEL, 2021-2031,($MILLION)
- TABLE 71. FRANCE DATA ANALYTICS IN BANKING MARKET, BY ORGANIZATION SIZE, 2021-2031,($MILLION)
- TABLE 72. FRANCE DATA ANALYTICS IN BANKING MARKET, BY TYPE, 2021-2031,($MILLION)
- TABLE 73. FRANCE DATA ANALYTICS IN BANKING MARKET, BY APPLICATION, 2021-2031,($MILLION)
- TABLE 74. ITALY DATA ANALYTICS IN BANKING MARKET, BY COMPONENT, 2021-2031,($MILLION)
- TABLE 75. ITALY DATA ANALYTICS IN BANKING MARKET, BY DEPLOYMENT MODEL, 2021-2031,($MILLION)
- TABLE 76. ITALY DATA ANALYTICS IN BANKING MARKET, BY ORGANIZATION SIZE, 2021-2031,($MILLION)
- TABLE 77. ITALY DATA ANALYTICS IN BANKING MARKET, BY TYPE, 2021-2031,($MILLION)
- TABLE 78. ITALY DATA ANALYTICS IN BANKING MARKET, BY APPLICATION, 2021-2031,($MILLION)
- TABLE 79. SPAIN DATA ANALYTICS IN BANKING MARKET, BY COMPONENT, 2021-2031,($MILLION)
- TABLE 80. SPAIN DATA ANALYTICS IN BANKING MARKET, BY DEPLOYMENT MODEL, 2021-2031,($MILLION)
- TABLE 81. SPAIN DATA ANALYTICS IN BANKING MARKET, BY ORGANIZATION SIZE, 2021-2031,($MILLION)
- TABLE 82. SPAIN DATA ANALYTICS IN BANKING MARKET, BY TYPE, 2021-2031,($MILLION)
- TABLE 83. SPAIN DATA ANALYTICS IN BANKING MARKET, BY APPLICATION, 2021-2031,($MILLION)
- TABLE 84. RUSSIA DATA ANALYTICS IN BANKING MARKET, BY COMPONENT, 2021-2031,($MILLION)
- TABLE 85. RUSSIA DATA ANALYTICS IN BANKING MARKET, BY DEPLOYMENT MODEL, 2021-2031,($MILLION)
- TABLE 86. RUSSIA DATA ANALYTICS IN BANKING MARKET, BY ORGANIZATION SIZE, 2021-2031,($MILLION)
- TABLE 87. RUSSIA DATA ANALYTICS IN BANKING MARKET, BY TYPE, 2021-2031,($MILLION)
- TABLE 88. RUSSIA DATA ANALYTICS IN BANKING MARKET, BY APPLICATION, 2021-2031,($MILLION)
- TABLE 89. REST OF EUROPE DATA ANALYTICS IN BANKING MARKET, BY COMPONENT, 2021-2031,($MILLION)
- TABLE 90. REST OF EUROPE DATA ANALYTICS IN BANKING MARKET, BY DEPLOYMENT MODEL, 2021-2031,($MILLION)
- TABLE 91. REST OF EUROPE DATA ANALYTICS IN BANKING MARKET, BY ORGANIZATION SIZE, 2021-2031,($MILLION)
- TABLE 92. REST OF EUROPE DATA ANALYTICS IN BANKING MARKET, BY TYPE, 2021-2031,($MILLION)
- TABLE 93. REST OF EUROPE DATA ANALYTICS IN BANKING MARKET, BY APPLICATION, 2021-2031,($MILLION)
- TABLE 94. ASIA-PACIFIC DATA ANALYTICS IN BANKING MARKET, BY COMPONENT, 2021-2031,($MILLION)
- TABLE 95. ASIA-PACIFIC DATA ANALYTICS IN BANKING MARKET, BY DEPLOYMENT MODEL, 2021-2031,($MILLION)
- TABLE 96. ASIA-PACIFIC DATA ANALYTICS IN BANKING MARKET, BY ORGANIZATION SIZE, 2021-2031,($MILLION)
- TABLE 97. ASIA-PACIFIC DATA ANALYTICS IN BANKING MARKET, BY TYPE, 2021-2031,($MILLION)
- TABLE 98. ASIA-PACIFIC DATA ANALYTICS IN BANKING MARKET, BY APPLICATION, 2021-2031,($MILLION)
- TABLE 99. ASIA-PACIFIC DATA ANALYTICS IN BANKING MARKET, BY COUNTRY, 2021-2031,($MILLION)
- TABLE 100. CHINA DATA ANALYTICS IN BANKING MARKET, BY COMPONENT, 2021-2031,($MILLION)
- TABLE 101. CHINA DATA ANALYTICS IN BANKING MARKET, BY DEPLOYMENT MODEL, 2021-2031,($MILLION)
- TABLE 102. CHINA DATA ANALYTICS IN BANKING MARKET, BY ORGANIZATION SIZE, 2021-2031,($MILLION)
- TABLE 103. CHINA DATA ANALYTICS IN BANKING MARKET, BY TYPE, 2021-2031,($MILLION)
- TABLE 104. CHINA DATA ANALYTICS IN BANKING MARKET, BY APPLICATION, 2021-2031,($MILLION)
- TABLE 105. JAPAN DATA ANALYTICS IN BANKING MARKET, BY COMPONENT, 2021-2031,($MILLION)
- TABLE 106. JAPAN DATA ANALYTICS IN BANKING MARKET, BY DEPLOYMENT MODEL, 2021-2031,($MILLION)
- TABLE 107. JAPAN DATA ANALYTICS IN BANKING MARKET, BY ORGANIZATION SIZE, 2021-2031,($MILLION)
- TABLE 108. JAPAN DATA ANALYTICS IN BANKING MARKET, BY TYPE, 2021-2031,($MILLION)
- TABLE 109. JAPAN DATA ANALYTICS IN BANKING MARKET, BY APPLICATION, 2021-2031,($MILLION)
- TABLE 110. INDIA DATA ANALYTICS IN BANKING MARKET, BY COMPONENT, 2021-2031,($MILLION)
- TABLE 111. INDIA DATA ANALYTICS IN BANKING MARKET, BY DEPLOYMENT MODEL, 2021-2031,($MILLION)
- TABLE 112. INDIA DATA ANALYTICS IN BANKING MARKET, BY ORGANIZATION SIZE, 2021-2031,($MILLION)
- TABLE 113. INDIA DATA ANALYTICS IN BANKING MARKET, BY TYPE, 2021-2031,($MILLION)
- TABLE 114. INDIA DATA ANALYTICS IN BANKING MARKET, BY APPLICATION, 2021-2031,($MILLION)
- TABLE 115. AUSTRALIA DATA ANALYTICS IN BANKING MARKET, BY COMPONENT, 2021-2031,($MILLION)
- TABLE 116. AUSTRALIA DATA ANALYTICS IN BANKING MARKET, BY DEPLOYMENT MODEL, 2021-2031,($MILLION)
- TABLE 117. AUSTRALIA DATA ANALYTICS IN BANKING MARKET, BY ORGANIZATION SIZE, 2021-2031,($MILLION)
- TABLE 118. AUSTRALIA DATA ANALYTICS IN BANKING MARKET, BY TYPE, 2021-2031,($MILLION)
- TABLE 119. AUSTRALIA DATA ANALYTICS IN BANKING MARKET, BY APPLICATION, 2021-2031,($MILLION)
- TABLE 120. SOUTH KOREA DATA ANALYTICS IN BANKING MARKET, BY COMPONENT, 2021-2031,($MILLION)
- TABLE 121. SOUTH KOREA DATA ANALYTICS IN BANKING MARKET, BY DEPLOYMENT MODEL, 2021-2031,($MILLION)
- TABLE 122. SOUTH KOREA DATA ANALYTICS IN BANKING MARKET, BY ORGANIZATION SIZE, 2021-2031,($MILLION)
- TABLE 123. SOUTH KOREA DATA ANALYTICS IN BANKING MARKET, BY TYPE, 2021-2031,($MILLION)
- TABLE 124. SOUTH KOREA DATA ANALYTICS IN BANKING MARKET, BY APPLICATION, 2021-2031,($MILLION)
- TABLE 125. SINGAPORE DATA ANALYTICS IN BANKING MARKET, BY COMPONENT, 2021-2031,($MILLION)
- TABLE 126. SINGAPORE DATA ANALYTICS IN BANKING MARKET, BY DEPLOYMENT MODEL, 2021-2031,($MILLION)
- TABLE 127. SINGAPORE DATA ANALYTICS IN BANKING MARKET, BY ORGANIZATION SIZE, 2021-2031,($MILLION)
- TABLE 128. SINGAPORE DATA ANALYTICS IN BANKING MARKET, BY TYPE, 2021-2031,($MILLION)
- TABLE 129. SINGAPORE DATA ANALYTICS IN BANKING MARKET, BY APPLICATION, 2021-2031,($MILLION)
- TABLE 130. REST OF ASIA-PACIFIC DATA ANALYTICS IN BANKING MARKET, BY COMPONENT, 2021-2031,($MILLION)
- TABLE 131. REST OF ASIA-PACIFIC DATA ANALYTICS IN BANKING MARKET, BY DEPLOYMENT MODEL, 2021-2031,($MILLION)
- TABLE 132. REST OF ASIA-PACIFIC DATA ANALYTICS IN BANKING MARKET, BY ORGANIZATION SIZE, 2021-2031,($MILLION)
- TABLE 133. REST OF ASIA-PACIFIC DATA ANALYTICS IN BANKING MARKET, BY TYPE, 2021-2031,($MILLION)
- TABLE 134. REST OF ASIA-PACIFIC DATA ANALYTICS IN BANKING MARKET, BY APPLICATION, 2021-2031,($MILLION)
- TABLE 135. LAMEA DATA ANALYTICS IN BANKING MARKET, BY COMPONENT, 2021-2031,($MILLION)
- TABLE 136. LAMEA DATA ANALYTICS IN BANKING MARKET, BY DEPLOYMENT MODEL, 2021-2031,($MILLION)
- TABLE 137. LAMEA DATA ANALYTICS IN BANKING MARKET, BY ORGANIZATION SIZE, 2021-2031,($MILLION)
- TABLE 138. LAMEA DATA ANALYTICS IN BANKING MARKET, BY TYPE, 2021-2031,($MILLION)
- TABLE 139. LAMEA DATA ANALYTICS IN BANKING MARKET, BY APPLICATION, 2021-2031,($MILLION)
- TABLE 140. LAMEA DATA ANALYTICS IN BANKING MARKET, BY COUNTRY, 2021-2031,($MILLION)
- TABLE 141. LATIN AMERICA DATA ANALYTICS IN BANKING MARKET, BY COMPONENT, 2021-2031,($MILLION)
- TABLE 142. LATIN AMERICA DATA ANALYTICS IN BANKING MARKET, BY DEPLOYMENT MODEL, 2021-2031,($MILLION)
- TABLE 143. LATIN AMERICA DATA ANALYTICS IN BANKING MARKET, BY ORGANIZATION SIZE, 2021-2031,($MILLION)
- TABLE 144. LATIN AMERICA DATA ANALYTICS IN BANKING MARKET, BY TYPE, 2021-2031,($MILLION)
- TABLE 145. LATIN AMERICA DATA ANALYTICS IN BANKING MARKET, BY APPLICATION, 2021-2031,($MILLION)
- TABLE 146. MIDDLE EAST DATA ANALYTICS IN BANKING MARKET, BY COMPONENT, 2021-2031,($MILLION)
- TABLE 147. MIDDLE EAST DATA ANALYTICS IN BANKING MARKET, BY DEPLOYMENT MODEL, 2021-2031,($MILLION)
- TABLE 148. MIDDLE EAST DATA ANALYTICS IN BANKING MARKET, BY ORGANIZATION SIZE, 2021-2031,($MILLION)
- TABLE 149. MIDDLE EAST DATA ANALYTICS IN BANKING MARKET, BY TYPE, 2021-2031,($MILLION)
- TABLE 150. MIDDLE EAST DATA ANALYTICS IN BANKING MARKET, BY APPLICATION, 2021-2031,($MILLION)
- TABLE 151. AFRICA DATA ANALYTICS IN BANKING MARKET, BY COMPONENT, 2021-2031,($MILLION)
- TABLE 152. AFRICA DATA ANALYTICS IN BANKING MARKET, BY DEPLOYMENT MODEL, 2021-2031,($MILLION)
- TABLE 153. AFRICA DATA ANALYTICS IN BANKING MARKET, BY ORGANIZATION SIZE, 2021-2031,($MILLION)
- TABLE 154. AFRICA DATA ANALYTICS IN BANKING MARKET, BY TYPE, 2021-2031,($MILLION)
- TABLE 155. AFRICA DATA ANALYTICS IN BANKING MARKET, BY APPLICATION, 2021-2031,($MILLION)
- TABLE 156.ADOBE INC.: COMPANY SNAPSHO
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