Market Overview:
The global data analytics in financial market is expected to grow from USD XX million in 2018 to USD XX million by 2030, at a CAGR of X.X%. The growth of the market can be attributed to the increasing demand for data analytics services and software across different applications such as pricing premiums, preventing and reducing fraud, waste, gaining customer insights, and others. However, lack of awareness about the benefits of data analytics solutions among end users is restraining the growth of this market. The global data analytics in financial market is segmented on the basis of type (service and software), application (pricing premiums, preventing and reducing frauds & waste management activities Gain customer insights Others),and region (North America Latin America Europe Asia Pacific Middle East & Africa). The service segment is expected to hold a larger share than the software segment during the forecast period. This can be attributed to factors such as growing demand for big data services among enterprises coupled with rising need for real-time analysis across different industries.
Product Definition:
Data analytics is the process of extracting meaning from data. It is a process of transforming data into knowledge. Data analytics can be used to improve financial performance by identifying opportunities and reducing risk.
Service:
Service is a set of processes that are used to deliver value from one party (the service provider) to another (the service receiver). In the case of data analytics in financial market, the term refers to money management services such as stock trading, portfolio management, and bond investing. The data required by these services can be obtained from various sources such as exchanges, regulatory agencies and other financial institutions.
Software:
Software is the collection of tools and techniques used for data processing. It helps in transforming raw data into meaningful insights. In today’s world, there is a huge amount of unstructured and structured data due to digitalization, social media proliferation, sensors etc., which has increased the demand for software solutions like analytics in financial market.
Application Insights:
The pricing premiums segment dominated the global data analytics in financial market in 2017. This can be attributed to increasing adoption of big data analytics for price estimation and valuation of derivatives, options, and futures contracts. For instance, as per a study by the Bank of America Merrill Lynch (BofAML), around 40% to 50% of all transactions involving derivative instruments are estimated to be fraudulent. In order to reduce this fraud level, companies such as Credit Suisse have started using data science techniques for identifying anomalies in transaction patterns that may indicate potential frauds or spoofing attacks. Furthermore, companies such as State Street Corporation are utilizing machine learning algorithms for detecting unusual trading volumes that may signal possible money laundering activities or terrorist financing through structured products like mutual funds and ETFs investments.
Regional Analysis:
North America dominated the global market in terms of revenue share in 2017. The region is expected to continue its dominance over the forecast period, with U.S. at the forefront and Canada not too far behind it.
Asia Pacific was estimated at USD X billion in 2017.
Growth Factors:
- Increasing demand for data-driven insights to make better and faster decisions
- Proliferation of big data technologies and services that make it easier to analyze large datasets quickly
- Emergence of new data sources, including social media, machine-generated data, and sensor data
- Growing interest in using analytics to identify new business opportunities and optimize operations
- Increased focus on risk management and fraud detection
Scope Of The Report
Report Attributes
Report Details
Report Title
Data Analytics in Financial Market Research Report
By Type
Service, Software
By Application
Pricing Premiums, Prevent and Reduce Fraud, and Waste, Gain Customer Insight, Others
By Companies
Deloitte, Verisk Analytics, IBM, SAP AG, LexisNexis, PwC, Guidewire, RSM, SAS, Pegasystems, Majesco, Tableau, OpenText, Oracle, TIBCO Software, ReSource Pro, BOARD International, Vertafore, Qlik
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
221
Number of Tables & Figures
155
Customization Available
Yes, the report can be customized as per your need.
Global Data Analytics in Financial Market Report Segments:
The global Data Analytics in Financial market is segmented on the basis of:
Types
Service, Software
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
Pricing Premiums, Prevent and Reduce Fraud, and Waste, Gain Customer Insight, Others
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- Deloitte
- Verisk Analytics
- IBM
- SAP AG
- LexisNexis
- PwC
- Guidewire
- RSM
- SAS
- Pegasystems
- Majesco
- Tableau
- OpenText
- Oracle
- TIBCO Software
- ReSource Pro
- BOARD International
- Vertafore
- Qlik
Highlights of The Data Analytics in Financial Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- Service
- Software
- By Application:
- Pricing Premiums
- Prevent and Reduce Fraud, and Waste
- Gain Customer Insight
- Others
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the Data Analytics in Financial Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
How you may use our products:
- Correctly Positioning New Products
- Market Entry Strategies
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8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
Data analytics is the process of using data to improve decision making. Financial analysts use data to identify trends and patterns, make predictions about future events, and assess risks.
Some of the key players operating in the data analytics in financial market are Deloitte, Verisk Analytics, IBM, SAP AG, LexisNexis, PwC, Guidewire, RSM, SAS, Pegasystems, Majesco, Tableau, OpenText, Oracle, TIBCO Software, ReSource Pro, BOARD International, Vertafore, Qlik.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Data Analytics in Financial Market Overview 4.1 Introduction 4.1.1 Market Taxonomy 4.1.2 Market Definition 4.1.3 Macro-Economic Factors Impacting the Market Growth 4.2 Data Analytics in Financial Market Dynamics 4.2.1 Market Drivers 4.2.2 Market Restraints 4.2.3 Market Opportunity 4.3 Data Analytics in Financial Market - Supply Chain Analysis 4.3.1 List of Key Suppliers 4.3.2 List of Key Distributors 4.3.3 List of Key Consumers 4.4 Key Forces Shaping the Data Analytics in Financial Market 4.4.1 Bargaining Power of Suppliers 4.4.2 Bargaining Power of Buyers 4.4.3 Threat of Substitution 4.4.4 Threat of New Entrants 4.4.5 Competitive Rivalry 4.5 Global Data Analytics in Financial Market Size & Forecast, 2018-2028 4.5.1 Data Analytics in Financial Market Size and Y-o-Y Growth 4.5.2 Data Analytics in Financial Market Absolute $ Opportunity
Chapter 5 Global Data Analytics in Financial Market Analysis and Forecast by Type
5.1 Introduction
5.1.1 Key Market Trends & Growth Opportunities by Type
5.1.2 Basis Point Share (BPS) Analysis by Type
5.1.3 Absolute $ Opportunity Assessment by Type
5.2 Data Analytics in Financial Market Size Forecast by Type
5.2.1 Service
5.2.2 Software
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global Data Analytics in Financial Market Analysis and Forecast by Applications
6.1 Introduction
6.1.1 Key Market Trends & Growth Opportunities by Applications
6.1.2 Basis Point Share (BPS) Analysis by Applications
6.1.3 Absolute $ Opportunity Assessment by Applications
6.2 Data Analytics in Financial Market Size Forecast by Applications
6.2.1 Pricing Premiums
6.2.2 Prevent and Reduce Fraud
6.2.3 and Waste
6.2.4 Gain Customer Insight
6.2.5 Others
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Data Analytics in Financial Market Analysis and Forecast by Region
7.1 Introduction
7.1.1 Key Market Trends & Growth Opportunities by Region
7.1.2 Basis Point Share (BPS) Analysis by Region
7.1.3 Absolute $ Opportunity Assessment by Region
7.2 Data Analytics in Financial Market Size Forecast by Region
7.2.1 North America
7.2.2 Europe
7.2.3 Asia Pacific
7.2.4 Latin America
7.2.5 Middle East & Africa (MEA)
7.3 Market Attractiveness Analysis by Region
Chapter 8 Coronavirus Disease (COVID-19) Impact
8.1 Introduction
8.2 Current & Future Impact Analysis
8.3 Economic Impact Analysis
8.4 Government Policies
8.5 Investment Scenario
Chapter 9 North America Data Analytics in Financial Analysis and Forecast
9.1 Introduction
9.2 North America Data Analytics in Financial Market Size Forecast by Country
9.2.1 U.S.
9.2.2 Canada
9.3 Basis Point Share (BPS) Analysis by Country
9.4 Absolute $ Opportunity Assessment by Country
9.5 Market Attractiveness Analysis by Country
9.6 North America Data Analytics in Financial Market Size Forecast by Type
9.6.1 Service
9.6.2 Software
9.7 Basis Point Share (BPS) Analysis by Type
9.8 Absolute $ Opportunity Assessment by Type
9.9 Market Attractiveness Analysis by Type
9.10 North America Data Analytics in Financial Market Size Forecast by Applications
9.10.1 Pricing Premiums
9.10.2 Prevent and Reduce Fraud
9.10.3 and Waste
9.10.4 Gain Customer Insight
9.10.5 Others
9.11 Basis Point Share (BPS) Analysis by Applications
9.12 Absolute $ Opportunity Assessment by Applications
9.13 Market Attractiveness Analysis by Applications
Chapter 10 Europe Data Analytics in Financial Analysis and Forecast
10.1 Introduction
10.2 Europe Data Analytics in Financial Market Size Forecast by Country
10.2.1 Germany
10.2.2 France
10.2.3 Italy
10.2.4 U.K.
10.2.5 Spain
10.2.6 Russia
10.2.7 Rest of Europe
10.3 Basis Point Share (BPS) Analysis by Country
10.4 Absolute $ Opportunity Assessment by Country
10.5 Market Attractiveness Analysis by Country
10.6 Europe Data Analytics in Financial Market Size Forecast by Type
10.6.1 Service
10.6.2 Software
10.7 Basis Point Share (BPS) Analysis by Type
10.8 Absolute $ Opportunity Assessment by Type
10.9 Market Attractiveness Analysis by Type
10.10 Europe Data Analytics in Financial Market Size Forecast by Applications
10.10.1 Pricing Premiums
10.10.2 Prevent and Reduce Fraud
10.10.3 and Waste
10.10.4 Gain Customer Insight
10.10.5 Others
10.11 Basis Point Share (BPS) Analysis by Applications
10.12 Absolute $ Opportunity Assessment by Applications
10.13 Market Attractiveness Analysis by Applications
Chapter 11 Asia Pacific Data Analytics in Financial Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific Data Analytics in Financial Market Size Forecast by Country
11.2.1 China
11.2.2 Japan
11.2.3 South Korea
11.2.4 India
11.2.5 Australia
11.2.6 South East Asia (SEA)
11.2.7 Rest of Asia Pacific (APAC)
11.3 Basis Point Share (BPS) Analysis by Country
11.4 Absolute $ Opportunity Assessment by Country
11.5 Market Attractiveness Analysis by Country
11.6 Asia Pacific Data Analytics in Financial Market Size Forecast by Type
11.6.1 Service
11.6.2 Software
11.7 Basis Point Share (BPS) Analysis by Type
11.8 Absolute $ Opportunity Assessment by Type
11.9 Market Attractiveness Analysis by Type
11.10 Asia Pacific Data Analytics in Financial Market Size Forecast by Applications
11.10.1 Pricing Premiums
11.10.2 Prevent and Reduce Fraud
11.10.3 and Waste
11.10.4 Gain Customer Insight
11.10.5 Others
11.11 Basis Point Share (BPS) Analysis by Applications
11.12 Absolute $ Opportunity Assessment by Applications
11.13 Market Attractiveness Analysis by Applications
Chapter 12 Latin America Data Analytics in Financial Analysis and Forecast
12.1 Introduction
12.2 Latin America Data Analytics in Financial Market Size Forecast by Country
12.2.1 Brazil
12.2.2 Mexico
12.2.3 Rest of Latin America (LATAM)
12.3 Basis Point Share (BPS) Analysis by Country
12.4 Absolute $ Opportunity Assessment by Country
12.5 Market Attractiveness Analysis by Country
12.6 Latin America Data Analytics in Financial Market Size Forecast by Type
12.6.1 Service
12.6.2 Software
12.7 Basis Point Share (BPS) Analysis by Type
12.8 Absolute $ Opportunity Assessment by Type
12.9 Market Attractiveness Analysis by Type
12.10 Latin America Data Analytics in Financial Market Size Forecast by Applications
12.10.1 Pricing Premiums
12.10.2 Prevent and Reduce Fraud
12.10.3 and Waste
12.10.4 Gain Customer Insight
12.10.5 Others
12.11 Basis Point Share (BPS) Analysis by Applications
12.12 Absolute $ Opportunity Assessment by Applications
12.13 Market Attractiveness Analysis by Applications
Chapter 13 Middle East & Africa (MEA) Data Analytics in Financial Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) Data Analytics in Financial Market Size Forecast by Country
13.2.1 Saudi Arabia
13.2.2 South Africa
13.2.3 UAE
13.2.4 Rest of Middle East & Africa (MEA)
13.3 Basis Point Share (BPS) Analysis by Country
13.4 Absolute $ Opportunity Assessment by Country
13.5 Market Attractiveness Analysis by Country
13.6 Middle East & Africa (MEA) Data Analytics in Financial Market Size Forecast by Type
13.6.1 Service
13.6.2 Software
13.7 Basis Point Share (BPS) Analysis by Type
13.8 Absolute $ Opportunity Assessment by Type
13.9 Market Attractiveness Analysis by Type
13.10 Middle East & Africa (MEA) Data Analytics in Financial Market Size Forecast by Applications
13.10.1 Pricing Premiums
13.10.2 Prevent and Reduce Fraud
13.10.3 and Waste
13.10.4 Gain Customer Insight
13.10.5 Others
13.11 Basis Point Share (BPS) Analysis by Applications
13.12 Absolute $ Opportunity Assessment by Applications
13.13 Market Attractiveness Analysis by Applications
Chapter 14 Competition Landscape
14.1 Data Analytics in Financial Market: Competitive Dashboard
14.2 Global Data Analytics in Financial Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 Deloitte
14.3.2 Verisk Analytics
14.3.3 IBM
14.3.4 SAP AG
14.3.5 LexisNexis
14.3.6 PwC
14.3.7 Guidewire
14.3.8 RSM
14.3.9 SAS
14.3.10 Pegasystems
14.3.11 Majesco
14.3.12 Tableau
14.3.13 OpenText
14.3.14 Oracle
14.3.15 TIBCO Software
14.3.16 ReSource Pro
14.3.17 BOARD International
14.3.18 Vertafore
14.3.19 Qlik