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Natural Language Processing for Finance-Global Market Insights and Sales Trends 2025
Synopsis
NLP in the banking and finance sector has advanced to a global scale with more and more financial institutions leveraging the benefits of advanced technological innovation. Along with Artificial Intelligence and Machine Learning, NLP application is creating its footprints across operations, risk, sales, R&D, customer support and many other verticals in the financial sector, that’s in turn leading to greater efficiencies, productivity, cost savings and time and resource management.
The global Natural Language Processing for Finance 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 Natural Language Processing for Finance in various end use industries. The expanding demands from the Commercial Banks, Investment Banks, Asset Management Company and Individual Investors, are propelling Natural Language Processing for Finance market. Sentiment Analysis, 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 Name Matching and KYC segment is estimated at % CAGR for the next seven-year period.
Asia Pacific shows high growth potential for Natural Language Processing for Finance market, driven by demand from China, the second largest economy with some signs of stabilising, the Natural Language Processing for Finance 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 Natural Language Processing for Finance, 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 Natural Language Processing for Finance 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 Natural Language Processing for Finance market based on the following parameters - company details (found date, headquarters, manufacturing bases), products portfolio, Natural Language Processing for Finance 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 Natural Language Processing for Finance covered in this report include Bloomberg, Yahoo, Google Finance, Bank of America, ICBC, JP Morgan and Ant Group, etc.
The global Natural Language Processing for Finance market report caters to various stakeholders in this industry including investors, suppliers, product players, distributors, new entrants, and financial analysts.
Market Segmentation
Company Profiles:
Bloomberg
Yahoo
Google Finance
Bank of America
ICBC
JP Morgan
Ant Group
Global Natural Language Processing for Finance 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 Natural Language Processing for Finance market, Segment by Type:
Sentiment Analysis
Name Matching and KYC
Sell-Side Research
Document Management
Risk Monitoring
Credit Scoring
Customer Service
Global Natural Language Processing for Finance market, by Application
Commercial Banks
Investment Banks
Asset Management Company
Individual Investors
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 Natural Language Processing for Finance 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
NLP in the banking and finance sector has advanced to a global scale with more and more financial institutions leveraging the benefits of advanced technological innovation. Along with Artificial Intelligence and Machine Learning, NLP application is creating its footprints across operations, risk, sales, R&D, customer support and many other verticals in the financial sector, that’s in turn leading to greater efficiencies, productivity, cost savings and time and resource management.
The global Natural Language Processing for Finance 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 Natural Language Processing for Finance in various end use industries. The expanding demands from the Commercial Banks, Investment Banks, Asset Management Company and Individual Investors, are propelling Natural Language Processing for Finance market. Sentiment Analysis, 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 Name Matching and KYC segment is estimated at % CAGR for the next seven-year period.
Asia Pacific shows high growth potential for Natural Language Processing for Finance market, driven by demand from China, the second largest economy with some signs of stabilising, the Natural Language Processing for Finance 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 Natural Language Processing for Finance, 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 Natural Language Processing for Finance 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 Natural Language Processing for Finance market based on the following parameters - company details (found date, headquarters, manufacturing bases), products portfolio, Natural Language Processing for Finance 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 Natural Language Processing for Finance covered in this report include Bloomberg, Yahoo, Google Finance, Bank of America, ICBC, JP Morgan and Ant Group, etc.
The global Natural Language Processing for Finance market report caters to various stakeholders in this industry including investors, suppliers, product players, distributors, new entrants, and financial analysts.
Market Segmentation
Company Profiles:
Bloomberg
Yahoo
Google Finance
Bank of America
ICBC
JP Morgan
Ant Group
Global Natural Language Processing for Finance 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 Natural Language Processing for Finance market, Segment by Type:
Sentiment Analysis
Name Matching and KYC
Sell-Side Research
Document Management
Risk Monitoring
Credit Scoring
Customer Service
Global Natural Language Processing for Finance market, by Application
Commercial Banks
Investment Banks
Asset Management Company
Individual Investors
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 Natural Language Processing for Finance 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 Natural Language Processing for Finance
1.1 Natural Language Processing for Finance Market Overview
1.1.1 Natural Language Processing for Finance Product Scope
1.1.2 Natural Language Processing for Finance Market Status and Outlook
1.2 Global Natural Language Processing for Finance Market Size Overview by Region 2018 VS 2022 VS 2029
1.3 Global Natural Language Processing for Finance Market Size by Region (2018-2029)
1.4 Global Natural Language Processing for Finance Historic Market Size by Region (2018-2023)
1.5 Global Natural Language Processing for Finance Market Size Forecast by Region (2024-2029)
1.6 Key Regions, Natural Language Processing for Finance Market Size (2018-2029)
1.6.1 North America Natural Language Processing for Finance Market Size (2018-2029)
1.6.2 Europe Natural Language Processing for Finance Market Size (2018-2029)
1.6.3 Asia-Pacific Natural Language Processing for Finance Market Size (2018-2029)
1.6.4 Latin America Natural Language Processing for Finance Market Size (2018-2029)
1.6.5 Middle East & Africa Natural Language Processing for Finance Market Size (2018-2029)
2 Natural Language Processing for Finance Market by Type
2.1 Introduction
2.1.1 Sentiment Analysis
2.1.2 Name Matching and KYC
2.1.3 Sell-Side Research
2.1.4 Document Management
2.1.5 Risk Monitoring
2.1.6 Credit Scoring
2.1.7 Customer Service
2.2 Global Natural Language Processing for Finance Market Size by Type: 2018 VS 2022 VS 2029
2.2.1 Global Natural Language Processing for Finance Historic Market Size by Type (2018-2023)
2.2.2 Global Natural Language Processing for Finance Forecasted Market Size by Type (2024-2029)
2.3 Key Regions Market Size by Type
2.3.1 North America Natural Language Processing for Finance Revenue Breakdown by Type (2018-2029)
2.3.2 Europe Natural Language Processing for Finance Revenue Breakdown by Type (2018-2029)
2.3.3 Asia-Pacific Natural Language Processing for Finance Revenue Breakdown by Type (2018-2029)
2.3.4 Latin America Natural Language Processing for Finance Revenue Breakdown by Type (2018-2029)
2.3.5 Middle East and Africa Natural Language Processing for Finance Revenue Breakdown by Type (2018-2029)
3 Natural Language Processing for Finance Market Overview by Application
3.1 Introduction
3.1.1 Commercial Banks
3.1.2 Investment Banks
3.1.3 Asset Management Company
3.1.4 Individual Investors
3.2 Global Natural Language Processing for Finance Market Size by Application: 2018 VS 2022 VS 2029
3.2.1 Global Natural Language Processing for Finance Historic Market Size by Application (2018-2023)
3.2.2 Global Natural Language Processing for Finance Forecasted Market Size by Application (2024-2029)
3.3 Key Regions Market Size by Application
3.3.1 North America Natural Language Processing for Finance Revenue Breakdown by Application (2018-2029)
3.3.2 Europe Natural Language Processing for Finance Revenue Breakdown by Application (2018-2029)
3.3.3 Asia-Pacific Natural Language Processing for Finance Revenue Breakdown by Application (2018-2029)
3.3.4 Latin America Natural Language Processing for Finance Revenue Breakdown by Application (2018-2029)
3.3.5 Middle East and Africa Natural Language Processing for Finance Revenue Breakdown by Application (2018-2029)
4 Natural Language Processing for Finance Competition Analysis by Players
4.1 Global Natural Language Processing for Finance 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 Natural Language Processing for Finance as of 2022)
4.3 Date of Key Players Enter into Natural Language Processing for Finance Market
4.4 Global Top Players Natural Language Processing for Finance Headquarters and Area Served
4.5 Key Players Natural Language Processing for Finance Product Solution and Service
4.6 Competitive Status
4.6.1 Natural Language Processing for Finance Market Concentration Rate
4.6.2 Mergers & Acquisitions, Expansion Plans
5 Company (Top Players) Profiles
5.1 Bloomberg
5.1.1 Bloomberg Profile
5.1.2 Bloomberg Main Business
5.1.3 Bloomberg Natural Language Processing for Finance Products, Services and Solutions
5.1.4 Bloomberg Natural Language Processing for Finance Revenue (US$ Million) & (2018-2023)
5.1.5 Bloomberg Recent Developments
5.2 Yahoo
5.2.1 Yahoo Profile
5.2.2 Yahoo Main Business
5.2.3 Yahoo Natural Language Processing for Finance Products, Services and Solutions
5.2.4 Yahoo Natural Language Processing for Finance Revenue (US$ Million) & (2018-2023)
5.2.5 Yahoo Recent Developments
5.3 Google Finance
5.3.1 Google Finance Profile
5.3.2 Google Finance Main Business
5.3.3 Google Finance Natural Language Processing for Finance Products, Services and Solutions
5.3.4 Google Finance Natural Language Processing for Finance Revenue (US$ Million) & (2018-2023)
5.3.5 Bank of America Recent Developments
5.4 Bank of America
5.4.1 Bank of America Profile
5.4.2 Bank of America Main Business
5.4.3 Bank of America Natural Language Processing for Finance Products, Services and Solutions
5.4.4 Bank of America Natural Language Processing for Finance Revenue (US$ Million) & (2018-2023)
5.4.5 Bank of America Recent Developments
5.5 ICBC
5.5.1 ICBC Profile
5.5.2 ICBC Main Business
5.5.3 ICBC Natural Language Processing for Finance Products, Services and Solutions
5.5.4 ICBC Natural Language Processing for Finance Revenue (US$ Million) & (2018-2023)
5.5.5 ICBC Recent Developments
5.6 JP Morgan
5.6.1 JP Morgan Profile
5.6.2 JP Morgan Main Business
5.6.3 JP Morgan Natural Language Processing for Finance Products, Services and Solutions
5.6.4 JP Morgan Natural Language Processing for Finance Revenue (US$ Million) & (2018-2023)
5.6.5 JP Morgan Recent Developments
5.7 Ant Group
5.7.1 Ant Group Profile
5.7.2 Ant Group Main Business
5.7.3 Ant Group Natural Language Processing for Finance Products, Services and Solutions
5.7.4 Ant Group Natural Language Processing for Finance Revenue (US$ Million) & (2018-2023)
5.7.5 Ant Group Recent Developments
6 North America
6.1 North America Natural Language Processing for Finance Market Size by Country (2018-2029)
6.2 U.S.
6.3 Canada
7 Europe
7.1 Europe Natural Language Processing for Finance 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 Natural Language Processing for Finance 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 Natural Language Processing for Finance 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 Natural Language Processing for Finance Market Size by Country (2018-2029)
10.2 Turkey
10.3 Saudi Arabia
10.4 UAE
10.5 Rest of Middle East & Africa
11 Natural Language Processing for Finance Market Dynamics
11.1 Natural Language Processing for Finance Industry Trends
11.2 Natural Language Processing for Finance Market Drivers
11.3 Natural Language Processing for Finance Market Challenges
11.4 Natural Language Processing for Finance 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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