Text Mining System is a system that uses natural language processing, data mining and machine learning technologies to extract useful information, patterns and knowledge from large amounts of text data. Text mining systems can help users automatically analyze and understand text data to discover valuable information hidden behind the text.
The global Text Mining System market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of %during the forecast period 2024-2030.
North American market for Text Mining System is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for Text Mining System is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global market for Text Mining System in Intelligence Analysis is estimated to increase from $ million in 2023 to $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The major global companies of Text Mining System include IBM, Microsoft, SAS, Google, Amazon, Oracle, SAP, Lexalytics, Altair Engineering, Knime, etc. In 2023, the world's top three vendors accounted for approximately % of the revenue.
This report aims to provide a comprehensive presentation of the global market for Text Mining System, 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 Text Mining System.
The Text Mining System market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Text Mining System market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Text Mining System companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
IBM
Microsoft
SAS
Google
Amazon
Oracle
SAP
Lexalytics
Altair Engineering
Knime
Aylien
MonkeyLearn
Basis Technology
Linguamatics
Shenzhen Tianyuan DIC Information Technology
Qualtrics
Mozenda
Semantic Web Company
BenchSci
Algolia
SPOTTER
Rossum
SciBite
KapCode
Brandwatch
Apache Lucene
Derlte
Segment by Type
Text Classification Tool
Text Clustering Tool
Named Entity Recognition Tool
Keyword Extraction Tool
Sentiment Analysis Tools
Topic Modeling Tools
Text Generation Tools
Text Analysis Platform
Segment by Application
Intelligence Analysis
Public Opinion Monitoring
Financial Sector
Medical Insurance
Marketing
Education Industry
Human Resource Management
By Region
North America
United States
Canada
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Rest of Europe
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. 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 2: Introduces executive summary of global market size, regional market size, 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 3: Detailed analysis of Text Mining System company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: 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 5: 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 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.
1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Text Mining System Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Text Classification Tool
1.2.3 Text Clustering Tool
1.2.4 Named Entity Recognition Tool
1.2.5 Keyword Extraction Tool
1.2.6 Sentiment Analysis Tools
1.2.7 Topic Modeling Tools
1.2.8 Text Generation Tools
1.2.9 Text Analysis Platform
1.3 Market by Application
1.3.1 Global Text Mining System Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Intelligence Analysis
1.3.3 Public Opinion Monitoring
1.3.4 Financial Sector
1.3.5 Medical Insurance
1.3.6 Marketing
1.3.7 Education Industry
1.3.8 Human Resource Management
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global Text Mining System Market Perspective (2019-2030)
2.2 Global Text Mining System Growth Trends by Region
2.2.1 Global Text Mining System Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Text Mining System Historic Market Size by Region (2019-2024)
2.2.3 Text Mining System Forecasted Market Size by Region (2025-2030)
2.3 Text Mining System Market Dynamics
2.3.1 Text Mining System Industry Trends
2.3.2 Text Mining System Market Drivers
2.3.3 Text Mining System Market Challenges
2.3.4 Text Mining System Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Text Mining System Players by Revenue
3.1.1 Global Top Text Mining System Players by Revenue (2019-2024)
3.1.2 Global Text Mining System Revenue Market Share by Players (2019-2024)
3.2 Global Text Mining System Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players Ranking by Text Mining System Revenue
3.4 Global Text Mining System Market Concentration Ratio
3.4.1 Global Text Mining System Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Text Mining System Revenue in 2023
3.5 Global Key Players of Text Mining System Head office and Area Served
3.6 Global Key Players of Text Mining System, Product and Application
3.7 Global Key Players of Text Mining System, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 Text Mining System Breakdown Data by Type
4.1 Global Text Mining System Historic Market Size by Type (2019-2024)
4.2 Global Text Mining System Forecasted Market Size by Type (2025-2030)
5 Text Mining System Breakdown Data by Application
5.1 Global Text Mining System Historic Market Size by Application (2019-2024)
5.2 Global Text Mining System Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Text Mining System Market Size (2019-2030)
6.2 North America Text Mining System Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Text Mining System Market Size by Country (2019-2024)
6.4 North America Text Mining System Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Text Mining System Market Size (2019-2030)
7.2 Europe Text Mining System Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Text Mining System Market Size by Country (2019-2024)
7.4 Europe Text Mining System Market Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Text Mining System Market Size (2019-2030)
8.2 Asia-Pacific Text Mining System Market Growth Rate by Country: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Text Mining System Market Size by Region (2019-2024)
8.4 Asia-Pacific Text Mining System Market Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Text Mining System Market Size (2019-2030)
9.2 Latin America Text Mining System Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Text Mining System Market Size by Country (2019-2024)
9.4 Latin America Text Mining System Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Text Mining System Market Size (2019-2030)
10.2 Middle East & Africa Text Mining System Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Text Mining System Market Size by Country (2019-2024)
10.4 Middle East & Africa Text Mining System Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 IBM
11.1.1 IBM Company Details
11.1.2 IBM Business Overview
11.1.3 IBM Text Mining System Introduction
11.1.4 IBM Revenue in Text Mining System Business (2019-2024)
11.1.5 IBM Recent Development
11.2 Microsoft
11.2.1 Microsoft Company Details
11.2.2 Microsoft Business Overview
11.2.3 Microsoft Text Mining System Introduction
11.2.4 Microsoft Revenue in Text Mining System Business (2019-2024)
11.2.5 Microsoft Recent Development
11.3 SAS
11.3.1 SAS Company Details
11.3.2 SAS Business Overview
11.3.3 SAS Text Mining System Introduction
11.3.4 SAS Revenue in Text Mining System Business (2019-2024)
11.3.5 SAS Recent Development
11.4 Google
11.4.1 Google Company Details
11.4.2 Google Business Overview
11.4.3 Google Text Mining System Introduction
11.4.4 Google Revenue in Text Mining System Business (2019-2024)
11.4.5 Google Recent Development
11.5 Amazon
11.5.1 Amazon Company Details
11.5.2 Amazon Business Overview
11.5.3 Amazon Text Mining System Introduction
11.5.4 Amazon Revenue in Text Mining System Business (2019-2024)
11.5.5 Amazon Recent Development
11.6 Oracle
11.6.1 Oracle Company Details
11.6.2 Oracle Business Overview
11.6.3 Oracle Text Mining System Introduction
11.6.4 Oracle Revenue in Text Mining System Business (2019-2024)
11.6.5 Oracle Recent Development
11.7 SAP
11.7.1 SAP Company Details
11.7.2 SAP Business Overview
11.7.3 SAP Text Mining System Introduction
11.7.4 SAP Revenue in Text Mining System Business (2019-2024)
11.7.5 SAP Recent Development
11.8 Lexalytics
11.8.1 Lexalytics Company Details
11.8.2 Lexalytics Business Overview
11.8.3 Lexalytics Text Mining System Introduction
11.8.4 Lexalytics Revenue in Text Mining System Business (2019-2024)
11.8.5 Lexalytics Recent Development
11.9 Altair Engineering
11.9.1 Altair Engineering Company Details
11.9.2 Altair Engineering Business Overview
11.9.3 Altair Engineering Text Mining System Introduction
11.9.4 Altair Engineering Revenue in Text Mining System Business (2019-2024)
11.9.5 Altair Engineering Recent Development
11.10 Knime
11.10.1 Knime Company Details
11.10.2 Knime Business Overview
11.10.3 Knime Text Mining System Introduction
11.10.4 Knime Revenue in Text Mining System Business (2019-2024)
11.10.5 Knime Recent Development
11.11 Aylien
11.11.1 Aylien Company Details
11.11.2 Aylien Business Overview
11.11.3 Aylien Text Mining System Introduction
11.11.4 Aylien Revenue in Text Mining System Business (2019-2024)
11.11.5 Aylien Recent Development
11.12 MonkeyLearn
11.12.1 MonkeyLearn Company Details
11.12.2 MonkeyLearn Business Overview
11.12.3 MonkeyLearn Text Mining System Introduction
11.12.4 MonkeyLearn Revenue in Text Mining System Business (2019-2024)
11.12.5 MonkeyLearn Recent Development
11.13 Basis Technology
11.13.1 Basis Technology Company Details
11.13.2 Basis Technology Business Overview
11.13.3 Basis Technology Text Mining System Introduction
11.13.4 Basis Technology Revenue in Text Mining System Business (2019-2024)
11.13.5 Basis Technology Recent Development
11.14 Linguamatics
11.14.1 Linguamatics Company Details
11.14.2 Linguamatics Business Overview
11.14.3 Linguamatics Text Mining System Introduction
11.14.4 Linguamatics Revenue in Text Mining System Business (2019-2024)
11.14.5 Linguamatics Recent Development
11.15 Shenzhen Tianyuan DIC Information Technology
11.15.1 Shenzhen Tianyuan DIC Information Technology Company Details
11.15.2 Shenzhen Tianyuan DIC Information Technology Business Overview
11.15.3 Shenzhen Tianyuan DIC Information Technology Text Mining System Introduction
11.15.4 Shenzhen Tianyuan DIC Information Technology Revenue in Text Mining System Business (2019-2024)
11.15.5 Shenzhen Tianyuan DIC Information Technology Recent Development
11.16 Qualtrics
11.16.1 Qualtrics Company Details
11.16.2 Qualtrics Business Overview
11.16.3 Qualtrics Text Mining System Introduction
11.16.4 Qualtrics Revenue in Text Mining System Business (2019-2024)
11.16.5 Qualtrics Recent Development
11.17 Mozenda
11.17.1 Mozenda Company Details
11.17.2 Mozenda Business Overview
11.17.3 Mozenda Text Mining System Introduction
11.17.4 Mozenda Revenue in Text Mining System Business (2019-2024)
11.17.5 Mozenda Recent Development
11.18 Semantic Web Company
11.18.1 Semantic Web Company Company Details
11.18.2 Semantic Web Company Business Overview
11.18.3 Semantic Web Company Text Mining System Introduction
11.18.4 Semantic Web Company Revenue in Text Mining System Business (2019-2024)
11.18.5 Semantic Web Company Recent Development
11.19 BenchSci
11.19.1 BenchSci Company Details
11.19.2 BenchSci Business Overview
11.19.3 BenchSci Text Mining System Introduction
11.19.4 BenchSci Revenue in Text Mining System Business (2019-2024)
11.19.5 BenchSci Recent Development
11.20 Algolia
11.20.1 Algolia Company Details
11.20.2 Algolia Business Overview
11.20.3 Algolia Text Mining System Introduction
11.20.4 Algolia Revenue in Text Mining System Business (2019-2024)
11.20.5 Algolia Recent Development
11.21 SPOTTER
11.21.1 SPOTTER Company Details
11.21.2 SPOTTER Business Overview
11.21.3 SPOTTER Text Mining System Introduction
11.21.4 SPOTTER Revenue in Text Mining System Business (2019-2024)
11.21.5 SPOTTER Recent Development
11.22 Rossum
11.22.1 Rossum Company Details
11.22.2 Rossum Business Overview
11.22.3 Rossum Text Mining System Introduction
11.22.4 Rossum Revenue in Text Mining System Business (2019-2024)
11.22.5 Rossum Recent Development
11.23 SciBite
11.23.1 SciBite Company Details
11.23.2 SciBite Business Overview
11.23.3 SciBite Text Mining System Introduction
11.23.4 SciBite Revenue in Text Mining System Business (2019-2024)
11.23.5 SciBite Recent Development
11.24 KapCode
11.24.1 KapCode Company Details
11.24.2 KapCode Business Overview
11.24.3 KapCode Text Mining System Introduction
11.24.4 KapCode Revenue in Text Mining System Business (2019-2024)
11.24.5 KapCode Recent Development
11.25 Brandwatch
11.25.1 Brandwatch Company Details
11.25.2 Brandwatch Business Overview
11.25.3 Brandwatch Text Mining System Introduction
11.25.4 Brandwatch Revenue in Text Mining System Business (2019-2024)
11.25.5 Brandwatch Recent Development
11.26 Apache Lucene
11.26.1 Apache Lucene Company Details
11.26.2 Apache Lucene Business Overview
11.26.3 Apache Lucene Text Mining System Introduction
11.26.4 Apache Lucene Revenue in Text Mining System Business (2019-2024)
11.26.5 Apache Lucene Recent Development
11.27 Derlte
11.27.1 Derlte Company Details
11.27.2 Derlte Business Overview
11.27.3 Derlte Text Mining System Introduction
11.27.4 Derlte Revenue in Text Mining System Business (2019-2024)
11.27.5 Derlte Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.1.1 Research Programs/Design
13.1.1.2 Market Size Estimation
13.1.1.3 Market Breakdown and Data Triangulation
13.1.2 Data Source
13.1.2.1 Secondary Sources
13.1.2.2 Primary Sources
13.2 Author Details
13.3 Disclaimer
IBM
Microsoft
SAS
Google
Amazon
Oracle
SAP
Lexalytics
Altair Engineering
Knime
Aylien
MonkeyLearn
Basis Technology
Linguamatics
Shenzhen Tianyuan DIC Information Technology
Qualtrics
Mozenda
Semantic Web Company
BenchSci
Algolia
SPOTTER
Rossum
SciBite
KapCode
Brandwatch
Apache Lucene
Derlte
听
听
*If Applicable.
