Industry Growth Insights published a new data on “Natural Language Processing for Finance Market”. The research report is titled “Natural Language Processing for Finance Market research by Types (Sentiment Analysis, Name Matching and KYC, Sell-Side Research, Document Management, Risk Monitoring, Credit Scoring, Customer Service), By Applications (Commercial Banks, Investment Banks, Asset Management Company, Individual Investors), By Players/Companies Bloomberg, Yahoo, Google Finance, Bank of America, ICBC, JP Morgan, Ant Group”.
Scope Of The Report
Report Attributes
Report Details
Report Title
Natural Language Processing for Finance Market Research Report
By Type
Sentiment Analysis, Name Matching and KYC, Sell-Side Research, Document Management, Risk Monitoring, Credit Scoring, Customer Service
By Application
Commercial Banks, Investment Banks, Asset Management Company, Individual Investors
By Companies
Bloomberg, Yahoo, Google Finance, Bank of America, ICBC, JP Morgan, Ant Group
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
178
Number of Tables & Figures
125
Customization Available
Yes, the report can be customized as per your need.
Global Natural Language Processing for Finance Market Report Segments:
The global Natural Language Processing for Finance market is segmented on the basis of:
Types
Sentiment Analysis, Name Matching and KYC, Sell-Side Research, Document Management, Risk Monitoring, Credit Scoring, Customer Service
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
Commercial Banks, Investment Banks, Asset Management Company, Individual Investors
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:
- Bloomberg
- Yahoo
- Google Finance
- Bank of America
- ICBC
- JP Morgan
- Ant Group
Highlights of The Natural Language Processing for Finance 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:
- Sentiment Analysis
- Name Matching and KYC
- Sell-Side Research
- Document Management
- Risk Monitoring
- Credit Scoring
- Customer Service
- By Application:
- Commercial Banks
- Investment Banks
- Asset Management Company
- Individual Investors
- 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 Natural Language Processing for Finance 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
- Business Expansion Strategies
- Consumer Insights
- Understanding Competition Scenario
- Product & Brand Management
- Channel & Customer Management
- Identifying Appropriate Advertising Appeals
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?
Natural language processing for finance is the process of understanding and extracting meaning from financial documents. This can include things like analyzing company filings, news articles, or social media posts to extract information about a company's performance or stock prices.
Some of the major companies in the natural language processing for finance market are Bloomberg, Yahoo, Google Finance, Bank of America, ICBC, JP Morgan, Ant Group.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Natural Language Processing for Finance 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 Natural Language Processing for Finance Market Dynamics 4.2.1 Market Drivers 4.2.2 Market Restraints 4.2.3 Market Opportunity 4.3 Natural Language Processing for Finance 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 Natural Language Processing for Finance 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 Natural Language Processing for Finance Market Size & Forecast, 2018-2028 4.5.1 Natural Language Processing for Finance Market Size and Y-o-Y Growth 4.5.2 Natural Language Processing for Finance Market Absolute $ Opportunity
Chapter 5 Global Natural Language Processing for Finance 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 Natural Language Processing for Finance Market Size Forecast by Type
5.2.1 Sentiment Analysis
5.2.2 Name Matching and KYC
5.2.3 Sell-Side Research
5.2.4 Document Management
5.2.5 Risk Monitoring
5.2.6 Credit Scoring
5.2.7 Customer Service
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global Natural Language Processing for Finance 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 Natural Language Processing for Finance Market Size Forecast by Applications
6.2.1 Commercial Banks
6.2.2 Investment Banks
6.2.3 Asset Management Company
6.2.4 Individual Investors
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Natural Language Processing for Finance 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 Natural Language Processing for Finance 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 Natural Language Processing for Finance Analysis and Forecast
9.1 Introduction
9.2 North America Natural Language Processing for Finance 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 Natural Language Processing for Finance Market Size Forecast by Type
9.6.1 Sentiment Analysis
9.6.2 Name Matching and KYC
9.6.3 Sell-Side Research
9.6.4 Document Management
9.6.5 Risk Monitoring
9.6.6 Credit Scoring
9.6.7 Customer Service
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 Natural Language Processing for Finance Market Size Forecast by Applications
9.10.1 Commercial Banks
9.10.2 Investment Banks
9.10.3 Asset Management Company
9.10.4 Individual Investors
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 Natural Language Processing for Finance Analysis and Forecast
10.1 Introduction
10.2 Europe Natural Language Processing for Finance 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 Natural Language Processing for Finance Market Size Forecast by Type
10.6.1 Sentiment Analysis
10.6.2 Name Matching and KYC
10.6.3 Sell-Side Research
10.6.4 Document Management
10.6.5 Risk Monitoring
10.6.6 Credit Scoring
10.6.7 Customer Service
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 Natural Language Processing for Finance Market Size Forecast by Applications
10.10.1 Commercial Banks
10.10.2 Investment Banks
10.10.3 Asset Management Company
10.10.4 Individual Investors
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 Natural Language Processing for Finance Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific Natural Language Processing for Finance 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 Natural Language Processing for Finance Market Size Forecast by Type
11.6.1 Sentiment Analysis
11.6.2 Name Matching and KYC
11.6.3 Sell-Side Research
11.6.4 Document Management
11.6.5 Risk Monitoring
11.6.6 Credit Scoring
11.6.7 Customer Service
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 Natural Language Processing for Finance Market Size Forecast by Applications
11.10.1 Commercial Banks
11.10.2 Investment Banks
11.10.3 Asset Management Company
11.10.4 Individual Investors
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 Natural Language Processing for Finance Analysis and Forecast
12.1 Introduction
12.2 Latin America Natural Language Processing for Finance 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 Natural Language Processing for Finance Market Size Forecast by Type
12.6.1 Sentiment Analysis
12.6.2 Name Matching and KYC
12.6.3 Sell-Side Research
12.6.4 Document Management
12.6.5 Risk Monitoring
12.6.6 Credit Scoring
12.6.7 Customer Service
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 Natural Language Processing for Finance Market Size Forecast by Applications
12.10.1 Commercial Banks
12.10.2 Investment Banks
12.10.3 Asset Management Company
12.10.4 Individual Investors
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) Natural Language Processing for Finance Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) Natural Language Processing for Finance 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) Natural Language Processing for Finance Market Size Forecast by Type
13.6.1 Sentiment Analysis
13.6.2 Name Matching and KYC
13.6.3 Sell-Side Research
13.6.4 Document Management
13.6.5 Risk Monitoring
13.6.6 Credit Scoring
13.6.7 Customer Service
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) Natural Language Processing for Finance Market Size Forecast by Applications
13.10.1 Commercial Banks
13.10.2 Investment Banks
13.10.3 Asset Management Company
13.10.4 Individual Investors
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 Natural Language Processing for Finance Market: Competitive Dashboard
14.2 Global Natural Language Processing for Finance Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 Bloomberg
14.3.2 Yahoo
14.3.3 Google Finance
14.3.4 Bank of America
14.3.5 ICBC
14.3.6 JP Morgan
14.3.7 Ant Group