Data Analytics in Financial - Global Market Share and Ranking, Overall Sales and Demand Forecast 2024-2030

Publication ID:

PB511248368

Publication Date:

November 8, 2024

Pages:

130

Publisher:

MRRPB5

Countries:

Global [1]

USD 3,950.00

IT Services [2]

Computing & Electronics [3]

Description:

The global market for Data Analytics in Financial was estimated to be worth US$ 11260 million in 2023 and is forecast to a readjusted size of US$ 15040 million by 2030 with a CAGR of 4.3% during the forecast period 2024-2030
North American market for Data Analytics in Financial was valued at $ million in 2023 and will reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for Data Analytics in Financial was valued at $ million in 2023 and will reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Europe market for Data Analytics in Financial was valued at $ million in 2023 and will reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global key companies of Data Analytics in Financial include Deloitte, Verisk Analytics, IBM, SAP AG, LexisNexis, PwC, Guidewire, RSM and SAS, etc. In 2023, the global five largest players hold a share approximately % in terms of revenue.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Data Analytics in Financial, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Data Analytics in Financial by region & country, by Type, and by Application.
The Data Analytics in Financial market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. With both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Data Analytics in Financial.
Market Segmentation
By Company
Deloitte
Verisk Analytics
IBM
SAP AG
LexisNexis
PwC
Guidewire
RSM
SAS
Pegasystems
Majesco
Tableau
OpenText
Oracle
TIBCO Software
ReSource Pro
BOARD International
Vertafore
Qlik
Segment by Type:
Service
Software
Segment by Application
Pricing Premiums
Prevent and Reduce Fraud, and Waste
Gain Customer Insight
Others
By Region
North America
United States
Canada
Europe
Germany
France
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America
Mexico
Brazil
Argentina
Middle East & Africa
Turkey
Saudi Arabia
UAE
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of Data Analytics in Financial manufacturers competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: 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 4: 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 5: Revenue of Data Analytics in Financial in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of Data Analytics in Financial in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.

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Table Of Contents:

1 Market Overview
1.1 Data Analytics in Financial Product Introduction
1.2 Global Data Analytics in Financial Market Size Forecast
1.3 Data Analytics in Financial Market Trends & Drivers
1.3.1 Data Analytics in Financial Industry Trends
1.3.2 Data Analytics in Financial Market Drivers & Opportunity
1.3.3 Data Analytics in Financial Market Challenges
1.3.4 Data Analytics in Financial Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Data Analytics in Financial Players Revenue Ranking (2023)
2.2 Global Data Analytics in Financial Revenue by Company (2019-2024)
2.3 Key Companies Data Analytics in Financial Manufacturing Base Distribution and Headquarters
2.4 Key Companies Data Analytics in Financial Product Offered
2.5 Key Companies Time to Begin Mass Production of Data Analytics in Financial
2.6 Data Analytics in Financial Market Competitive Analysis
2.6.1 Data Analytics in Financial Market Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by Data Analytics in Financial Revenue in 2023
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Data Analytics in Financial as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Service
3.1.2 Software
3.2 Global Data Analytics in Financial Sales Value by Type
3.2.1 Global Data Analytics in Financial Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global Data Analytics in Financial Sales Value, by Type (2019-2030)
3.2.3 Global Data Analytics in Financial Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Pricing Premiums
4.1.2 Prevent and Reduce Fraud, and Waste
4.1.3 Gain Customer Insight
4.1.4 Others
4.2 Global Data Analytics in Financial Sales Value by Application
4.2.1 Global Data Analytics in Financial Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global Data Analytics in Financial Sales Value, by Application (2019-2030)
4.2.3 Global Data Analytics in Financial Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global Data Analytics in Financial Sales Value by Region
5.1.1 Global Data Analytics in Financial Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global Data Analytics in Financial Sales Value by Region (2019-2024)
5.1.3 Global Data Analytics in Financial Sales Value by Region (2025-2030)
5.1.4 Global Data Analytics in Financial Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America Data Analytics in Financial Sales Value, 2019-2030
5.2.2 North America Data Analytics in Financial Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe Data Analytics in Financial Sales Value, 2019-2030
5.3.2 Europe Data Analytics in Financial Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific Data Analytics in Financial Sales Value, 2019-2030
5.4.2 Asia Pacific Data Analytics in Financial Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America Data Analytics in Financial Sales Value, 2019-2030
5.5.2 South America Data Analytics in Financial Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa Data Analytics in Financial Sales Value, 2019-2030
5.6.2 Middle East & Africa Data Analytics in Financial Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Data Analytics in Financial Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions Data Analytics in Financial Sales Value
6.3 United States
6.3.1 United States Data Analytics in Financial Sales Value, 2019-2030
6.3.2 United States Data Analytics in Financial Sales Value by Type (%), 2023 VS 2030
6.3.3 United States Data Analytics in Financial Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe Data Analytics in Financial Sales Value, 2019-2030
6.4.2 Europe Data Analytics in Financial Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe Data Analytics in Financial Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China Data Analytics in Financial Sales Value, 2019-2030
6.5.2 China Data Analytics in Financial Sales Value by Type (%), 2023 VS 2030
6.5.3 China Data Analytics in Financial Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan Data Analytics in Financial Sales Value, 2019-2030
6.6.2 Japan Data Analytics in Financial Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan Data Analytics in Financial Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea Data Analytics in Financial Sales Value, 2019-2030
6.7.2 South Korea Data Analytics in Financial Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea Data Analytics in Financial Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia Data Analytics in Financial Sales Value, 2019-2030
6.8.2 Southeast Asia Data Analytics in Financial Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia Data Analytics in Financial Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India Data Analytics in Financial Sales Value, 2019-2030
6.9.2 India Data Analytics in Financial Sales Value by Type (%), 2023 VS 2030
6.9.3 India Data Analytics in Financial Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 Deloitte
7.1.1 Deloitte Profile
7.1.2 Deloitte Main Business
7.1.3 Deloitte Data Analytics in Financial Products, Services and Solutions
7.1.4 Deloitte Data Analytics in Financial Revenue (US$ Million) & (2019-2024)
7.1.5 Deloitte Recent Developments
7.2 Verisk Analytics
7.2.1 Verisk Analytics Profile
7.2.2 Verisk Analytics Main Business
7.2.3 Verisk Analytics Data Analytics in Financial Products, Services and Solutions
7.2.4 Verisk Analytics Data Analytics in Financial Revenue (US$ Million) & (2019-2024)
7.2.5 Verisk Analytics Recent Developments
7.3 IBM
7.3.1 IBM Profile
7.3.2 IBM Main Business
7.3.3 IBM Data Analytics in Financial Products, Services and Solutions
7.3.4 IBM Data Analytics in Financial Revenue (US$ Million) & (2019-2024)
7.3.5 SAP AG Recent Developments
7.4 SAP AG
7.4.1 SAP AG Profile
7.4.2 SAP AG Main Business
7.4.3 SAP AG Data Analytics in Financial Products, Services and Solutions
7.4.4 SAP AG Data Analytics in Financial Revenue (US$ Million) & (2019-2024)
7.4.5 SAP AG Recent Developments
7.5 LexisNexis
7.5.1 LexisNexis Profile
7.5.2 LexisNexis Main Business
7.5.3 LexisNexis Data Analytics in Financial Products, Services and Solutions
7.5.4 LexisNexis Data Analytics in Financial Revenue (US$ Million) & (2019-2024)
7.5.5 LexisNexis Recent Developments
7.6 PwC
7.6.1 PwC Profile
7.6.2 PwC Main Business
7.6.3 PwC Data Analytics in Financial Products, Services and Solutions
7.6.4 PwC Data Analytics in Financial Revenue (US$ Million) & (2019-2024)
7.6.5 PwC Recent Developments
7.7 Guidewire
7.7.1 Guidewire Profile
7.7.2 Guidewire Main Business
7.7.3 Guidewire Data Analytics in Financial Products, Services and Solutions
7.7.4 Guidewire Data Analytics in Financial Revenue (US$ Million) & (2019-2024)
7.7.5 Guidewire Recent Developments
7.8 RSM
7.8.1 RSM Profile
7.8.2 RSM Main Business
7.8.3 RSM Data Analytics in Financial Products, Services and Solutions
7.8.4 RSM Data Analytics in Financial Revenue (US$ Million) & (2019-2024)
7.8.5 RSM Recent Developments
7.9 SAS
7.9.1 SAS Profile
7.9.2 SAS Main Business
7.9.3 SAS Data Analytics in Financial Products, Services and Solutions
7.9.4 SAS Data Analytics in Financial Revenue (US$ Million) & (2019-2024)
7.9.5 SAS Recent Developments
7.10 Pegasystems
7.10.1 Pegasystems Profile
7.10.2 Pegasystems Main Business
7.10.3 Pegasystems Data Analytics in Financial Products, Services and Solutions
7.10.4 Pegasystems Data Analytics in Financial Revenue (US$ Million) & (2019-2024)
7.10.5 Pegasystems Recent Developments
7.11 Majesco
7.11.1 Majesco Profile
7.11.2 Majesco Main Business
7.11.3 Majesco Data Analytics in Financial Products, Services and Solutions
7.11.4 Majesco Data Analytics in Financial Revenue (US$ Million) & (2019-2024)
7.11.5 Majesco Recent Developments
7.12 Tableau
7.12.1 Tableau Profile
7.12.2 Tableau Main Business
7.12.3 Tableau Data Analytics in Financial Products, Services and Solutions
7.12.4 Tableau Data Analytics in Financial Revenue (US$ Million) & (2019-2024)
7.12.5 Tableau Recent Developments
7.13 OpenText
7.13.1 OpenText Profile
7.13.2 OpenText Main Business
7.13.3 OpenText Data Analytics in Financial Products, Services and Solutions
7.13.4 OpenText Data Analytics in Financial Revenue (US$ Million) & (2019-2024)
7.13.5 OpenText Recent Developments
7.14 Oracle
7.14.1 Oracle Profile
7.14.2 Oracle Main Business
7.14.3 Oracle Data Analytics in Financial Products, Services and Solutions
7.14.4 Oracle Data Analytics in Financial Revenue (US$ Million) & (2019-2024)
7.14.5 Oracle Recent Developments
7.15 TIBCO Software
7.15.1 TIBCO Software Profile
7.15.2 TIBCO Software Main Business
7.15.3 TIBCO Software Data Analytics in Financial Products, Services and Solutions
7.15.4 TIBCO Software Data Analytics in Financial Revenue (US$ Million) & (2019-2024)
7.15.5 TIBCO Software Recent Developments
7.16 ReSource Pro
7.16.1 ReSource Pro Profile
7.16.2 ReSource Pro Main Business
7.16.3 ReSource Pro Data Analytics in Financial Products, Services and Solutions
7.16.4 ReSource Pro Data Analytics in Financial Revenue (US$ Million) & (2019-2024)
7.16.5 ReSource Pro Recent Developments
7.17 BOARD International
7.17.1 BOARD International Profile
7.17.2 BOARD International Main Business
7.17.3 BOARD International Data Analytics in Financial Products, Services and Solutions
7.17.4 BOARD International Data Analytics in Financial Revenue (US$ Million) & (2019-2024)
7.17.5 BOARD International Recent Developments
7.18 Vertafore
7.18.1 Vertafore Profile
7.18.2 Vertafore Main Business
7.18.3 Vertafore Data Analytics in Financial Products, Services and Solutions
7.18.4 Vertafore Data Analytics in Financial Revenue (US$ Million) & (2019-2024)
7.18.5 Vertafore Recent Developments
7.19 Qlik
7.19.1 Qlik Profile
7.19.2 Qlik Main Business
7.19.3 Qlik Data Analytics in Financial Products, Services and Solutions
7.19.4 Qlik Data Analytics in Financial Revenue (US$ Million) & (2019-2024)
7.19.5 Qlik Recent Developments
8 Industry Chain Analysis
8.1 Data Analytics in Financial Industrial Chain
8.2 Data Analytics in Financial Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.2.3 Manufacturing Cost Structure
8.3 Midstream Analysis
8.4 Downstream Analysis (Customers Analysis)
8.5 Sales Model and Sales Channels
8.5.1 Data Analytics in Financial Sales Model
8.5.2 Sales Channel
8.5.3 Data Analytics in Financial Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.2 Data Source
10.2 Author Details
10.3 Disclaimer

Companies Mentioned:

Deloitte
Verisk Analytics
IBM
SAP AG
LexisNexis
PwC
Guidewire
RSM
SAS
Pegasystems
Majesco
Tableau
OpenText
Oracle
TIBCO Software
ReSource Pro
BOARD International
Vertafore
Qlik

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