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Data Analytics in Financial-Global Market Insights and Sales Trends 2025
Synopsis
The global Data Analytics in Financial 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 Data Analytics in Financial in various end use industries. The expanding demands from the Pricing Premiums, Prevent and Reduce Fraud, and Waste, Gain Customer Insight and Others, are propelling Data Analytics in Financial market. Service, 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 Software segment is estimated at % CAGR for the next seven-year period.
Asia Pacific shows high growth potential for Data Analytics in Financial market, driven by demand from China, the second largest economy with some signs of stabilising, the Data Analytics in Financial market in China is forecast to reach US$ million by 2029, trailing a CAGR of % over the 2023-2029 period, while the U.S. market will reach US$ million by 2029, exhibiting a CAGR of % during the same period.
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 Data Analytics in Financial, 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 Data Analytics in Financial 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 Data Analytics in Financial market based on the following parameters - company details (found date, headquarters, manufacturing bases), products portfolio, Data Analytics in Financial 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 Data Analytics in Financial covered in this report include Deloitte, Verisk Analytics, IBM, SAP AG, LexisNexis, PwC, Guidewire, RSM and SAS, etc.
The global Data Analytics in Financial market report caters to various stakeholders in this industry including investors, suppliers, product players, distributors, new entrants, and financial analysts.
Market Segmentation
Company Profiles:
Deloitte
Verisk Analytics
IBM
SAP AG
LexisNexis
PwC
Guidewire
RSM
SAS
Pegasystems
Majesco
Tableau
OpenText
Oracle
TIBCO Software
ReSource Pro
BOARD International
Vertafore
Qlik
Global Data Analytics in Financial 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 Data Analytics in Financial market, Segment by Type:
Service
Software
Global Data Analytics in Financial market, by Application
Pricing Premiums
Prevent and Reduce Fraud, and Waste
Gain Customer Insight
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 Data Analytics in Financial 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
The global Data Analytics in Financial 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 Data Analytics in Financial in various end use industries. The expanding demands from the Pricing Premiums, Prevent and Reduce Fraud, and Waste, Gain Customer Insight and Others, are propelling Data Analytics in Financial market. Service, 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 Software segment is estimated at % CAGR for the next seven-year period.
Asia Pacific shows high growth potential for Data Analytics in Financial market, driven by demand from China, the second largest economy with some signs of stabilising, the Data Analytics in Financial market in China is forecast to reach US$ million by 2029, trailing a CAGR of % over the 2023-2029 period, while the U.S. market will reach US$ million by 2029, exhibiting a CAGR of % during the same period.
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 Data Analytics in Financial, 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 Data Analytics in Financial 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 Data Analytics in Financial market based on the following parameters - company details (found date, headquarters, manufacturing bases), products portfolio, Data Analytics in Financial 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 Data Analytics in Financial covered in this report include Deloitte, Verisk Analytics, IBM, SAP AG, LexisNexis, PwC, Guidewire, RSM and SAS, etc.
The global Data Analytics in Financial market report caters to various stakeholders in this industry including investors, suppliers, product players, distributors, new entrants, and financial analysts.
Market Segmentation
Company Profiles:
Deloitte
Verisk Analytics
IBM
SAP AG
LexisNexis
PwC
Guidewire
RSM
SAS
Pegasystems
Majesco
Tableau
OpenText
Oracle
TIBCO Software
ReSource Pro
BOARD International
Vertafore
Qlik
Global Data Analytics in Financial 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 Data Analytics in Financial market, Segment by Type:
Service
Software
Global Data Analytics in Financial market, by Application
Pricing Premiums
Prevent and Reduce Fraud, and Waste
Gain Customer Insight
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 Data Analytics in Financial 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 Data Analytics in Financial
1.1 Data Analytics in Financial Market Overview
1.1.1 Data Analytics in Financial Product Scope
1.1.2 Data Analytics in Financial Market Status and Outlook
1.2 Global Data Analytics in Financial Market Size Overview by Region 2018 VS 2022 VS 2029
1.3 Global Data Analytics in Financial Market Size by Region (2018-2029)
1.4 Global Data Analytics in Financial Historic Market Size by Region (2018-2023)
1.5 Global Data Analytics in Financial Market Size Forecast by Region (2024-2029)
1.6 Key Regions, Data Analytics in Financial Market Size (2018-2029)
1.6.1 North America Data Analytics in Financial Market Size (2018-2029)
1.6.2 Europe Data Analytics in Financial Market Size (2018-2029)
1.6.3 Asia-Pacific Data Analytics in Financial Market Size (2018-2029)
1.6.4 Latin America Data Analytics in Financial Market Size (2018-2029)
1.6.5 Middle East & Africa Data Analytics in Financial Market Size (2018-2029)
2 Data Analytics in Financial Market by Type
2.1 Introduction
2.1.1 Service
2.1.2 Software
2.2 Global Data Analytics in Financial Market Size by Type: 2018 VS 2022 VS 2029
2.2.1 Global Data Analytics in Financial Historic Market Size by Type (2018-2023)
2.2.2 Global Data Analytics in Financial Forecasted Market Size by Type (2024-2029)
2.3 Key Regions Market Size by Type
2.3.1 North America Data Analytics in Financial Revenue Breakdown by Type (2018-2029)
2.3.2 Europe Data Analytics in Financial Revenue Breakdown by Type (2018-2029)
2.3.3 Asia-Pacific Data Analytics in Financial Revenue Breakdown by Type (2018-2029)
2.3.4 Latin America Data Analytics in Financial Revenue Breakdown by Type (2018-2029)
2.3.5 Middle East and Africa Data Analytics in Financial Revenue Breakdown by Type (2018-2029)
3 Data Analytics in Financial Market Overview by Application
3.1 Introduction
3.1.1 Pricing Premiums
3.1.2 Prevent and Reduce Fraud, and Waste
3.1.3 Gain Customer Insight
3.1.4 Others
3.2 Global Data Analytics in Financial Market Size by Application: 2018 VS 2022 VS 2029
3.2.1 Global Data Analytics in Financial Historic Market Size by Application (2018-2023)
3.2.2 Global Data Analytics in Financial Forecasted Market Size by Application (2024-2029)
3.3 Key Regions Market Size by Application
3.3.1 North America Data Analytics in Financial Revenue Breakdown by Application (2018-2029)
3.3.2 Europe Data Analytics in Financial Revenue Breakdown by Application (2018-2029)
3.3.3 Asia-Pacific Data Analytics in Financial Revenue Breakdown by Application (2018-2029)
3.3.4 Latin America Data Analytics in Financial Revenue Breakdown by Application (2018-2029)
3.3.5 Middle East and Africa Data Analytics in Financial Revenue Breakdown by Application (2018-2029)
4 Data Analytics in Financial Competition Analysis by Players
4.1 Global Data Analytics in Financial 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 Data Analytics in Financial as of 2022)
4.3 Date of Key Players Enter into Data Analytics in Financial Market
4.4 Global Top Players Data Analytics in Financial Headquarters and Area Served
4.5 Key Players Data Analytics in Financial Product Solution and Service
4.6 Competitive Status
4.6.1 Data Analytics in Financial Market Concentration Rate
4.6.2 Mergers & Acquisitions, Expansion Plans
5 Company (Top Players) Profiles
5.1 Deloitte
5.1.1 Deloitte Profile
5.1.2 Deloitte Main Business
5.1.3 Deloitte Data Analytics in Financial Products, Services and Solutions
5.1.4 Deloitte Data Analytics in Financial Revenue (US$ Million) & (2018-2023)
5.1.5 Deloitte Recent Developments
5.2 Verisk Analytics
5.2.1 Verisk Analytics Profile
5.2.2 Verisk Analytics Main Business
5.2.3 Verisk Analytics Data Analytics in Financial Products, Services and Solutions
5.2.4 Verisk Analytics Data Analytics in Financial Revenue (US$ Million) & (2018-2023)
5.2.5 Verisk Analytics Recent Developments
5.3 IBM
5.3.1 IBM Profile
5.3.2 IBM Main Business
5.3.3 IBM Data Analytics in Financial Products, Services and Solutions
5.3.4 IBM Data Analytics in Financial Revenue (US$ Million) & (2018-2023)
5.3.5 SAP AG Recent Developments
5.4 SAP AG
5.4.1 SAP AG Profile
5.4.2 SAP AG Main Business
5.4.3 SAP AG Data Analytics in Financial Products, Services and Solutions
5.4.4 SAP AG Data Analytics in Financial Revenue (US$ Million) & (2018-2023)
5.4.5 SAP AG Recent Developments
5.5 LexisNexis
5.5.1 LexisNexis Profile
5.5.2 LexisNexis Main Business
5.5.3 LexisNexis Data Analytics in Financial Products, Services and Solutions
5.5.4 LexisNexis Data Analytics in Financial Revenue (US$ Million) & (2018-2023)
5.5.5 LexisNexis Recent Developments
5.6 PwC
5.6.1 PwC Profile
5.6.2 PwC Main Business
5.6.3 PwC Data Analytics in Financial Products, Services and Solutions
5.6.4 PwC Data Analytics in Financial Revenue (US$ Million) & (2018-2023)
5.6.5 PwC Recent Developments
5.7 Guidewire
5.7.1 Guidewire Profile
5.7.2 Guidewire Main Business
5.7.3 Guidewire Data Analytics in Financial Products, Services and Solutions
5.7.4 Guidewire Data Analytics in Financial Revenue (US$ Million) & (2018-2023)
5.7.5 Guidewire Recent Developments
5.8 RSM
5.8.1 RSM Profile
5.8.2 RSM Main Business
5.8.3 RSM Data Analytics in Financial Products, Services and Solutions
5.8.4 RSM Data Analytics in Financial Revenue (US$ Million) & (2018-2023)
5.8.5 RSM Recent Developments
5.9 SAS
5.9.1 SAS Profile
5.9.2 SAS Main Business
5.9.3 SAS Data Analytics in Financial Products, Services and Solutions
5.9.4 SAS Data Analytics in Financial Revenue (US$ Million) & (2018-2023)
5.9.5 SAS Recent Developments
5.10 Pegasystems
5.10.1 Pegasystems Profile
5.10.2 Pegasystems Main Business
5.10.3 Pegasystems Data Analytics in Financial Products, Services and Solutions
5.10.4 Pegasystems Data Analytics in Financial Revenue (US$ Million) & (2018-2023)
5.10.5 Pegasystems Recent Developments
5.11 Majesco
5.11.1 Majesco Profile
5.11.2 Majesco Main Business
5.11.3 Majesco Data Analytics in Financial Products, Services and Solutions
5.11.4 Majesco Data Analytics in Financial Revenue (US$ Million) & (2018-2023)
5.11.5 Majesco Recent Developments
5.12 Tableau
5.12.1 Tableau Profile
5.12.2 Tableau Main Business
5.12.3 Tableau Data Analytics in Financial Products, Services and Solutions
5.12.4 Tableau Data Analytics in Financial Revenue (US$ Million) & (2018-2023)
5.12.5 Tableau Recent Developments
5.13 OpenText
5.13.1 OpenText Profile
5.13.2 OpenText Main Business
5.13.3 OpenText Data Analytics in Financial Products, Services and Solutions
5.13.4 OpenText Data Analytics in Financial Revenue (US$ Million) & (2018-2023)
5.13.5 OpenText Recent Developments
5.14 Oracle
5.14.1 Oracle Profile
5.14.2 Oracle Main Business
5.14.3 Oracle Data Analytics in Financial Products, Services and Solutions
5.14.4 Oracle Data Analytics in Financial Revenue (US$ Million) & (2018-2023)
5.14.5 Oracle Recent Developments
5.15 TIBCO Software
5.15.1 TIBCO Software Profile
5.15.2 TIBCO Software Main Business
5.15.3 TIBCO Software Data Analytics in Financial Products, Services and Solutions
5.15.4 TIBCO Software Data Analytics in Financial Revenue (US$ Million) & (2018-2023)
5.15.5 TIBCO Software Recent Developments
5.16 ReSource Pro
5.16.1 ReSource Pro Profile
5.16.2 ReSource Pro Main Business
5.16.3 ReSource Pro Data Analytics in Financial Products, Services and Solutions
5.16.4 ReSource Pro Data Analytics in Financial Revenue (US$ Million) & (2018-2023)
5.16.5 ReSource Pro Recent Developments
5.17 BOARD International
5.17.1 BOARD International Profile
5.17.2 BOARD International Main Business
5.17.3 BOARD International Data Analytics in Financial Products, Services and Solutions
5.17.4 BOARD International Data Analytics in Financial Revenue (US$ Million) & (2018-2023)
5.17.5 BOARD International Recent Developments
5.18 Vertafore
5.18.1 Vertafore Profile
5.18.2 Vertafore Main Business
5.18.3 Vertafore Data Analytics in Financial Products, Services and Solutions
5.18.4 Vertafore Data Analytics in Financial Revenue (US$ Million) & (2018-2023)
5.18.5 Vertafore Recent Developments
5.19 Qlik
5.19.1 Qlik Profile
5.19.2 Qlik Main Business
5.19.3 Qlik Data Analytics in Financial Products, Services and Solutions
5.19.4 Qlik Data Analytics in Financial Revenue (US$ Million) & (2018-2023)
5.19.5 Qlik Recent Developments
6 North America
6.1 North America Data Analytics in Financial Market Size by Country (2018-2029)
6.2 United States
6.3 Canada
7 Europe
7.1 Europe Data Analytics in Financial 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 Data Analytics in Financial 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 Data Analytics in Financial 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 Data Analytics in Financial Market Size by Country (2018-2029)
10.2 Turkey
10.3 Saudi Arabia
10.4 UAE
10.5 Rest of Middle East & Africa
11 Data Analytics in Financial Market Dynamics
11.1 Data Analytics in Financial Industry Trends
11.2 Data Analytics in Financial Market Drivers
11.3 Data Analytics in Financial Market Challenges
11.4 Data Analytics in Financial 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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