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Big Data Analytics in Banking-Global Market Insights and Sales Trends 2024
Synopsis
Big data analytics refers to the strategy of analyzing large volumes of data, or big data.
The global Big Data Analytics in Banking market size is expected to reach US$ million by 2029, growing at a CAGR of % from 2023 to 2029. The market is mainly driven by the significant applications of Big Data Analytics in Banking in various end use industries. The expanding demands from the Feedback Management, Customer Analytics, Social Media Analytics and Fraud Detection and Management, are propelling Big Data Analytics in Banking market. On-Premise, one of the segments analysed in this report, is projected to record % CAGR and reach US$ million by the end of the analysis period. Growth in the Cloud segment is estimated at % CAGR for the next seven-year period.
APAC is expected to have High Adoption Rate Owing to Large Potential. Rapid technological developments in the information technology sector and increasing business operations mark Asia-Pacific (APAC) as the most important market for Big Data in banking during the forecast period. The biggest contributors to this market are China and India that account for most of the revenue in the APAC region. Many organizations in the APAC region are increasingly depending on digital systems to realize their goals. Several vendors, such as SAP and IBM provide wide -range of Big Data analytics services to banks in the region. Some of the core capabilities of these services include real-time monitoring, big cloud services, and other customized dashboards for easier retrieval of data, to ease the workflows. These tools enable organizations for on-the-resource planning and offer modified plans to aid decision-making.
Report Objectives
This report provides market insight on the different segments, by players, by Type, by Application. Market size and forecast (2018-2029) has been provided in the report. The primary objectives of this report are to provide 1) global market size and forecasts, growth rates, market dynamics, industry structure and developments, market situation, trends; 2) global market share and ranking by company; 3) comprehensive presentation of the global market for Big Data Analytics in Banking, with both quantitative and qualitative analysis through detailed segmentation; 4) detailed value chain analysis and review of growth factors essential for the existing market players and new entrants; 5) emerging opportunities in the market and the future impact of major drivers and restraints of the market.
Key Features of The Study:
This report provides in-depth analysis of the global Big Data Analytics in Banking market, and provides market size (US$ million) and CAGR for the forecast period (2023-2029), considering 2022 as the base year.
This report profiles key players in the global Big Data Analytics in Banking market based on the following parameters - company details (found date, headquarters, manufacturing bases), products portfolio, Big Data Analytics in Banking sales data, market share and ranking.
This report elucidates potential market opportunities across different segments and explains attractive investment proposition matrices for this market.
This report illustrates key insights about market drivers, restraints, opportunities, market trends, regional outlook.
Key companies of Big Data Analytics in Banking covered in this report include IBM, Oracle, SAP SE, Microsoft, HP, Amazon AWS, Google, Hitachi Data Systems and Tableau, etc.
The global Big Data Analytics in Banking market report caters to various stakeholders in this industry including investors, suppliers, product players, distributors, new entrants, and financial analysts.
Market Segmentation
Company Profiles:
IBM
Oracle
SAP SE
Microsoft
HP
Amazon AWS
Google
Hitachi Data Systems
Tableau
New Relic
Alation
Teradata
VMware
Splice Machine
Splunk Enterprise
Alteryx
Global Big Data Analytics in Banking market, by region:
North America (U.S., Canada, Mexico)
Europe (Germany, France, UK, Italy, etc.)
Asia Pacific (China, Japan, South Korea, Southeast Asia, India, etc.)
South America (Brazil, etc.)
Middle East and Africa (Turkey, GCC Countries, Africa, etc.)
Global Big Data Analytics in Banking market, Segment by Type:
On-Premise
Cloud
Global Big Data Analytics in Banking market, by Application
Feedback Management
Customer Analytics
Social Media Analytics
Fraud Detection and Management
Others
Core Chapters
Chapter One: Introduces the report scope of the report, executive summary of global and regional market size and CAGR for the history and forecast period (2018-2023, 2024-2029). It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter Two: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter Three: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter Four: Detailed analysis of Big Data Analytics in Banking companies’ competitive landscape, revenue, market share and ranking, latest development plan, merger, and acquisition information, etc.
Chapter Five: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product introduction, revenue, recent development, etc.
Chapter Six, Seven, Eight, Nine and Ten: North America, Europe, Asia Pacific, Latin America, Middle East & Africa, revenue by country.
Chapter Eleven: this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter Twelve: Research Finding/Conclusion
Big data analytics refers to the strategy of analyzing large volumes of data, or big data.
The global Big Data Analytics in Banking market size is expected to reach US$ million by 2029, growing at a CAGR of % from 2023 to 2029. The market is mainly driven by the significant applications of Big Data Analytics in Banking in various end use industries. The expanding demands from the Feedback Management, Customer Analytics, Social Media Analytics and Fraud Detection and Management, are propelling Big Data Analytics in Banking market. On-Premise, one of the segments analysed in this report, is projected to record % CAGR and reach US$ million by the end of the analysis period. Growth in the Cloud segment is estimated at % CAGR for the next seven-year period.
APAC is expected to have High Adoption Rate Owing to Large Potential. Rapid technological developments in the information technology sector and increasing business operations mark Asia-Pacific (APAC) as the most important market for Big Data in banking during the forecast period. The biggest contributors to this market are China and India that account for most of the revenue in the APAC region. Many organizations in the APAC region are increasingly depending on digital systems to realize their goals. Several vendors, such as SAP and IBM provide wide -range of Big Data analytics services to banks in the region. Some of the core capabilities of these services include real-time monitoring, big cloud services, and other customized dashboards for easier retrieval of data, to ease the workflows. These tools enable organizations for on-the-resource planning and offer modified plans to aid decision-making.
Report Objectives
This report provides market insight on the different segments, by players, by Type, by Application. Market size and forecast (2018-2029) has been provided in the report. The primary objectives of this report are to provide 1) global market size and forecasts, growth rates, market dynamics, industry structure and developments, market situation, trends; 2) global market share and ranking by company; 3) comprehensive presentation of the global market for Big Data Analytics in Banking, with both quantitative and qualitative analysis through detailed segmentation; 4) detailed value chain analysis and review of growth factors essential for the existing market players and new entrants; 5) emerging opportunities in the market and the future impact of major drivers and restraints of the market.
Key Features of The Study:
This report provides in-depth analysis of the global Big Data Analytics in Banking market, and provides market size (US$ million) and CAGR for the forecast period (2023-2029), considering 2022 as the base year.
This report profiles key players in the global Big Data Analytics in Banking market based on the following parameters - company details (found date, headquarters, manufacturing bases), products portfolio, Big Data Analytics in Banking sales data, market share and ranking.
This report elucidates potential market opportunities across different segments and explains attractive investment proposition matrices for this market.
This report illustrates key insights about market drivers, restraints, opportunities, market trends, regional outlook.
Key companies of Big Data Analytics in Banking covered in this report include IBM, Oracle, SAP SE, Microsoft, HP, Amazon AWS, Google, Hitachi Data Systems and Tableau, etc.
The global Big Data Analytics in Banking market report caters to various stakeholders in this industry including investors, suppliers, product players, distributors, new entrants, and financial analysts.
Market Segmentation
Company Profiles:
IBM
Oracle
SAP SE
Microsoft
HP
Amazon AWS
Hitachi Data Systems
Tableau
New Relic
Alation
Teradata
VMware
Splice Machine
Splunk Enterprise
Alteryx
Global Big Data Analytics in Banking market, by region:
North America (U.S., Canada, Mexico)
Europe (Germany, France, UK, Italy, etc.)
Asia Pacific (China, Japan, South Korea, Southeast Asia, India, etc.)
South America (Brazil, etc.)
Middle East and Africa (Turkey, GCC Countries, Africa, etc.)
Global Big Data Analytics in Banking market, Segment by Type:
On-Premise
Cloud
Global Big Data Analytics in Banking market, by Application
Feedback Management
Customer Analytics
Social Media Analytics
Fraud Detection and Management
Others
Core Chapters
Chapter One: Introduces the report scope of the report, executive summary of global and regional market size and CAGR for the history and forecast period (2018-2023, 2024-2029). It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter Two: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter Three: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter Four: Detailed analysis of Big Data Analytics in Banking companies’ competitive landscape, revenue, market share and ranking, latest development plan, merger, and acquisition information, etc.
Chapter Five: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product introduction, revenue, recent development, etc.
Chapter Six, Seven, Eight, Nine and Ten: North America, Europe, Asia Pacific, Latin America, Middle East & Africa, revenue by country.
Chapter Eleven: this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter Twelve: Research Finding/Conclusion
Index1 Market Overview of Big Data Analytics in Banking
1.1 Big Data Analytics in Banking Market Overview
1.1.1 Big Data Analytics in Banking Product Scope
1.1.2 Big Data Analytics in Banking Market Status and Outlook
1.2 Global Big Data Analytics in Banking Market Size Overview by Region 2018 VS 2022 VS 2029
1.3 Global Big Data Analytics in Banking Market Size by Region (2018-2029)
1.4 Global Big Data Analytics in Banking Historic Market Size by Region (2018-2023)
1.5 Global Big Data Analytics in Banking Market Size Forecast by Region (2024-2029)
1.6 Key Regions, Big Data Analytics in Banking Market Size (2018-2029)
1.6.1 North America Big Data Analytics in Banking Market Size (2018-2029)
1.6.2 Europe Big Data Analytics in Banking Market Size (2018-2029)
1.6.3 Asia-Pacific Big Data Analytics in Banking Market Size (2018-2029)
1.6.4 Latin America Big Data Analytics in Banking Market Size (2018-2029)
1.6.5 Middle East & Africa Big Data Analytics in Banking Market Size (2018-2029)
2 Big Data Analytics in Banking Market by Type
2.1 Introduction
2.1.1 On-Premise
2.1.2 Cloud
2.2 Global Big Data Analytics in Banking Market Size by Type: 2018 VS 2022 VS 2029
2.2.1 Global Big Data Analytics in Banking Historic Market Size by Type (2018-2023)
2.2.2 Global Big Data Analytics in Banking Forecasted Market Size by Type (2024-2029)
2.3 Key Regions Market Size by Type
2.3.1 North America Big Data Analytics in Banking Revenue Breakdown by Type (2018-2029)
2.3.2 Europe Big Data Analytics in Banking Revenue Breakdown by Type (2018-2029)
2.3.3 Asia-Pacific Big Data Analytics in Banking Revenue Breakdown by Type (2018-2029)
2.3.4 Latin America Big Data Analytics in Banking Revenue Breakdown by Type (2018-2029)
2.3.5 Middle East and Africa Big Data Analytics in Banking Revenue Breakdown by Type (2018-2029)
3 Big Data Analytics in Banking Market Overview by Application
3.1 Introduction
3.1.1 Feedback Management
3.1.2 Customer Analytics
3.1.3 Social Media Analytics
3.1.4 Fraud Detection and Management
3.1.5 Others
3.2 Global Big Data Analytics in Banking Market Size by Application: 2018 VS 2022 VS 2029
3.2.1 Global Big Data Analytics in Banking Historic Market Size by Application (2018-2023)
3.2.2 Global Big Data Analytics in Banking Forecasted Market Size by Application (2024-2029)
3.3 Key Regions Market Size by Application
3.3.1 North America Big Data Analytics in Banking Revenue Breakdown by Application (2018-2029)
3.3.2 Europe Big Data Analytics in Banking Revenue Breakdown by Application (2018-2029)
3.3.3 Asia-Pacific Big Data Analytics in Banking Revenue Breakdown by Application (2018-2029)
3.3.4 Latin America Big Data Analytics in Banking Revenue Breakdown by Application (2018-2029)
3.3.5 Middle East and Africa Big Data Analytics in Banking Revenue Breakdown by Application (2018-2029)
4 Big Data Analytics in Banking Competition Analysis by Players
4.1 Global Big Data Analytics in Banking Market Size by Players (2018-2023)
4.2 Global Top Players by Company Type (Tier 1, Tier 2 and Tier 3) & (based on the Revenue in Big Data Analytics in Banking as of 2022)
4.3 Date of Key Players Enter into Big Data Analytics in Banking Market
4.4 Global Top Players Big Data Analytics in Banking Headquarters and Area Served
4.5 Key Players Big Data Analytics in Banking Product Solution and Service
4.6 Competitive Status
4.6.1 Big Data Analytics in Banking Market Concentration Rate
4.6.2 Mergers & Acquisitions, Expansion Plans
5 Company (Top Players) Profiles
5.1 IBM
5.1.1 IBM Profile
5.1.2 IBM Main Business
5.1.3 IBM Big Data Analytics in Banking Products, Services and Solutions
5.1.4 IBM Big Data Analytics in Banking Revenue (US$ Million) & (2018-2023)
5.1.5 IBM Recent Developments
5.2 Oracle
5.2.1 Oracle Profile
5.2.2 Oracle Main Business
5.2.3 Oracle Big Data Analytics in Banking Products, Services and Solutions
5.2.4 Oracle Big Data Analytics in Banking Revenue (US$ Million) & (2018-2023)
5.2.5 Oracle Recent Developments
5.3 SAP SE
5.3.1 SAP SE Profile
5.3.2 SAP SE Main Business
5.3.3 SAP SE Big Data Analytics in Banking Products, Services and Solutions
5.3.4 SAP SE Big Data Analytics in Banking Revenue (US$ Million) & (2018-2023)
5.3.5 Microsoft Recent Developments
5.4 Microsoft
5.4.1 Microsoft Profile
5.4.2 Microsoft Main Business
5.4.3 Microsoft Big Data Analytics in Banking Products, Services and Solutions
5.4.4 Microsoft Big Data Analytics in Banking Revenue (US$ Million) & (2018-2023)
5.4.5 Microsoft Recent Developments
5.5 HP
5.5.1 HP Profile
5.5.2 HP Main Business
5.5.3 HP Big Data Analytics in Banking Products, Services and Solutions
5.5.4 HP Big Data Analytics in Banking Revenue (US$ Million) & (2018-2023)
5.5.5 HP Recent Developments
5.6 Amazon AWS
5.6.1 Amazon AWS Profile
5.6.2 Amazon AWS Main Business
5.6.3 Amazon AWS Big Data Analytics in Banking Products, Services and Solutions
5.6.4 Amazon AWS Big Data Analytics in Banking Revenue (US$ Million) & (2018-2023)
5.6.5 Amazon AWS Recent Developments
5.7 Google
5.7.1 Google Profile
5.7.2 Google Main Business
5.7.3 Google Big Data Analytics in Banking Products, Services and Solutions
5.7.4 Google Big Data Analytics in Banking Revenue (US$ Million) & (2018-2023)
5.7.5 Google Recent Developments
5.8 Hitachi Data Systems
5.8.1 Hitachi Data Systems Profile
5.8.2 Hitachi Data Systems Main Business
5.8.3 Hitachi Data Systems Big Data Analytics in Banking Products, Services and Solutions
5.8.4 Hitachi Data Systems Big Data Analytics in Banking Revenue (US$ Million) & (2018-2023)
5.8.5 Hitachi Data Systems Recent Developments
5.9 Tableau
5.9.1 Tableau Profile
5.9.2 Tableau Main Business
5.9.3 Tableau Big Data Analytics in Banking Products, Services and Solutions
5.9.4 Tableau Big Data Analytics in Banking Revenue (US$ Million) & (2018-2023)
5.9.5 Tableau Recent Developments
5.10 New Relic
5.10.1 New Relic Profile
5.10.2 New Relic Main Business
5.10.3 New Relic Big Data Analytics in Banking Products, Services and Solutions
5.10.4 New Relic Big Data Analytics in Banking Revenue (US$ Million) & (2018-2023)
5.10.5 New Relic Recent Developments
5.11 Alation
5.11.1 Alation Profile
5.11.2 Alation Main Business
5.11.3 Alation Big Data Analytics in Banking Products, Services and Solutions
5.11.4 Alation Big Data Analytics in Banking Revenue (US$ Million) & (2018-2023)
5.11.5 Alation Recent Developments
5.12 Teradata
5.12.1 Teradata Profile
5.12.2 Teradata Main Business
5.12.3 Teradata Big Data Analytics in Banking Products, Services and Solutions
5.12.4 Teradata Big Data Analytics in Banking Revenue (US$ Million) & (2018-2023)
5.12.5 Teradata Recent Developments
5.13 VMware
5.13.1 VMware Profile
5.13.2 VMware Main Business
5.13.3 VMware Big Data Analytics in Banking Products, Services and Solutions
5.13.4 VMware Big Data Analytics in Banking Revenue (US$ Million) & (2018-2023)
5.13.5 VMware Recent Developments
5.14 Splice Machine
5.14.1 Splice Machine Profile
5.14.2 Splice Machine Main Business
5.14.3 Splice Machine Big Data Analytics in Banking Products, Services and Solutions
5.14.4 Splice Machine Big Data Analytics in Banking Revenue (US$ Million) & (2018-2023)
5.14.5 Splice Machine Recent Developments
5.15 Splunk Enterprise
5.15.1 Splunk Enterprise Profile
5.15.2 Splunk Enterprise Main Business
5.15.3 Splunk Enterprise Big Data Analytics in Banking Products, Services and Solutions
5.15.4 Splunk Enterprise Big Data Analytics in Banking Revenue (US$ Million) & (2018-2023)
5.15.5 Splunk Enterprise Recent Developments
5.16 Alteryx
5.16.1 Alteryx Profile
5.16.2 Alteryx Main Business
5.16.3 Alteryx Big Data Analytics in Banking Products, Services and Solutions
5.16.4 Alteryx Big Data Analytics in Banking Revenue (US$ Million) & (2018-2023)
5.16.5 Alteryx Recent Developments
6 North America
6.1 North America Big Data Analytics in Banking Market Size by Country (2018-2029)
6.2 U.S.
6.3 Canada
7 Europe
7.1 Europe Big Data Analytics in Banking Market Size by Country (2018-2029)
7.2 Germany
7.3 France
7.4 U.K.
7.5 Italy
7.6 Russia
7.7 Nordic Countries
7.8 Rest of Europe
8 Asia-Pacific
8.1 Asia-Pacific Big Data Analytics in Banking Market Size by Region (2018-2029)
8.2 China
8.3 Japan
8.4 South Korea
8.5 Southeast Asia
8.6 India
8.7 Australia
8.8 Rest of Asia-Pacific
9 Latin America
9.1 Latin America Big Data Analytics in Banking Market Size by Country (2018-2029)
9.2 Mexico
9.3 Brazil
9.4 Rest of Latin America
10 Middle East & Africa
10.1 Middle East & Africa Big Data Analytics in Banking Market Size by Country (2018-2029)
10.2 Turkey
10.3 Saudi Arabia
10.4 UAE
10.5 Rest of Middle East & Africa
11 Big Data Analytics in Banking Market Dynamics
11.1 Big Data Analytics in Banking Industry Trends
11.2 Big Data Analytics in Banking Market Drivers
11.3 Big Data Analytics in Banking Market Challenges
11.4 Big Data Analytics in Banking Market Restraints
12 Research Finding /Conclusion
13 Methodology and Data Source
13.1 Methodology/Research Approach
13.1.1 Research Programs/Design
13.1.2 Market Size Estimation
13.1.3 Market Breakdown and Data Triangulation
13.2 Data Source
13.2.1 Secondary Sources
13.2.2 Primary Sources
13.3 Disclaimer
13.4 Author List
Published By : QY Research
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