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Global Text Mining Software Market Research Report 2024

Global Text Mining Software Market Research Report 2024

Publishing Date : Jan, 2024

License Type :
 

Report Code : 1720438

No of Pages : 102

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Synopsis
Text Mining software helps companies process text data for everything from research to media monitoring. Text mining software often employs machine learning, natural language processing, customized dictionaries, and algorithms to analyze text. These tools evaluate content for semantics and context to determine sentiment and categorize User responses.
The global Text Mining Software 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 Software 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 Software 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 Software in Personal 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 Software include Texifter, Mozenda, UCrawler, Keatext, Crimson Hexagon, Warwick Analytics, Oxcyon, IBM and InMoment, 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 Software, 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 Software.
Report Scope
The Text Mining Software market size, estimations, and forecasts are provided in terms of 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 Software 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 Software companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price 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
Texifter
Mozenda
UCrawler
Keatext
Crimson Hexagon
Warwick Analytics
Oxcyon
IBM
InMoment
CX MOMENTS
Provalis Research
Thematic
Medallia
Online-Utility.Org
MonkeyLearn
SAS Institute
Etuma
LaunchBoard Software
Converseon
Proxem
NICE Systems
Clarabridge
Lexalytics
DictaNova
MeaningCloud
Kapiche
Segment by Type
Professional（$99/Month）
Enterprise（$2,000/Month)
Segment by Application
Personal
Education
Government
Human Resources
Law
Medical and Pharmaceutical Care
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
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 Software companies’ 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.
Index
1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Text Mining Software Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Professional（$99/Month）
1.2.3 Enterprise（$2,000/Month)
1.3 Market by Application
1.3.1 Global Text Mining Software Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Personal
1.3.3 Education
1.3.4 Government
1.3.5 Human Resources
1.3.6 Law
1.3.7 Medical and Pharmaceutical Care
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Text Mining Software Market Perspective (2019-2030)
2.2 Text Mining Software Growth Trends by Region
2.2.1 Global Text Mining Software Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Text Mining Software Historic Market Size by Region (2019-2024)
2.2.3 Text Mining Software Forecasted Market Size by Region (2025-2030)
2.3 Text Mining Software Market Dynamics
2.3.1 Text Mining Software Industry Trends
2.3.2 Text Mining Software Market Drivers
2.3.3 Text Mining Software Market Challenges
2.3.4 Text Mining Software Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Text Mining Software Players by Revenue
3.1.1 Global Top Text Mining Software Players by Revenue (2019-2024)
3.1.2 Global Text Mining Software Revenue Market Share by Players (2019-2024)
3.2 Global Text Mining Software Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Text Mining Software Revenue
3.4 Global Text Mining Software Market Concentration Ratio
3.4.1 Global Text Mining Software Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Text Mining Software Revenue in 2023
3.5 Text Mining Software Key Players Head office and Area Served
3.6 Key Players Text Mining Software Product Solution and Service
3.7 Date of Enter into Text Mining Software Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Text Mining Software Breakdown Data by Type
4.1 Global Text Mining Software Historic Market Size by Type (2019-2024)
4.2 Global Text Mining Software Forecasted Market Size by Type (2025-2030)
5 Text Mining Software Breakdown Data by Application
5.1 Global Text Mining Software Historic Market Size by Application (2019-2024)
5.2 Global Text Mining Software Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Text Mining Software Market Size (2019-2030)
6.2 North America Text Mining Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Text Mining Software Market Size by Country (2019-2024)
6.4 North America Text Mining Software Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Text Mining Software Market Size (2019-2030)
7.2 Europe Text Mining Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Text Mining Software Market Size by Country (2019-2024)
7.4 Europe Text Mining Software 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 Software Market Size (2019-2030)
8.2 Asia-Pacific Text Mining Software Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Text Mining Software Market Size by Region (2019-2024)
8.4 Asia-Pacific Text Mining Software 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 Software Market Size (2019-2030)
9.2 Latin America Text Mining Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Text Mining Software Market Size by Country (2019-2024)
9.4 Latin America Text Mining Software Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Text Mining Software Market Size (2019-2030)
10.2 Middle East & Africa Text Mining Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Text Mining Software Market Size by Country (2019-2024)
10.4 Middle East & Africa Text Mining Software Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Texifter
11.1.1 Texifter Company Detail
11.1.2 Texifter Business Overview
11.1.3 Texifter Text Mining Software Introduction
11.1.4 Texifter Revenue in Text Mining Software Business (2019-2024)
11.1.5 Texifter Recent Development
11.2 Mozenda
11.2.1 Mozenda Company Detail
11.2.2 Mozenda Business Overview
11.2.3 Mozenda Text Mining Software Introduction
11.2.4 Mozenda Revenue in Text Mining Software Business (2019-2024)
11.2.5 Mozenda Recent Development
11.3 UCrawler
11.3.1 UCrawler Company Detail
11.3.2 UCrawler Business Overview
11.3.3 UCrawler Text Mining Software Introduction
11.3.4 UCrawler Revenue in Text Mining Software Business (2019-2024)
11.3.5 UCrawler Recent Development
11.4 Keatext
11.4.1 Keatext Company Detail
11.4.2 Keatext Business Overview
11.4.3 Keatext Text Mining Software Introduction
11.4.4 Keatext Revenue in Text Mining Software Business (2019-2024)
11.4.5 Keatext Recent Development
11.5 Crimson Hexagon
11.5.1 Crimson Hexagon Company Detail
11.5.2 Crimson Hexagon Business Overview
11.5.3 Crimson Hexagon Text Mining Software Introduction
11.5.4 Crimson Hexagon Revenue in Text Mining Software Business (2019-2024)
11.5.5 Crimson Hexagon Recent Development
11.6 Warwick Analytics
11.6.1 Warwick Analytics Company Detail
11.6.2 Warwick Analytics Business Overview
11.6.3 Warwick Analytics Text Mining Software Introduction
11.6.4 Warwick Analytics Revenue in Text Mining Software Business (2019-2024)
11.6.5 Warwick Analytics Recent Development
11.7 Oxcyon
11.7.1 Oxcyon Company Detail
11.7.2 Oxcyon Business Overview
11.7.3 Oxcyon Text Mining Software Introduction
11.7.4 Oxcyon Revenue in Text Mining Software Business (2019-2024)
11.7.5 Oxcyon Recent Development
11.8 IBM
11.8.1 IBM Company Detail
11.8.2 IBM Business Overview
11.8.3 IBM Text Mining Software Introduction
11.8.4 IBM Revenue in Text Mining Software Business (2019-2024)
11.8.5 IBM Recent Development
11.9 InMoment
11.9.1 InMoment Company Detail
11.9.2 InMoment Business Overview
11.9.3 InMoment Text Mining Software Introduction
11.9.4 InMoment Revenue in Text Mining Software Business (2019-2024)
11.9.5 InMoment Recent Development
11.10 CX MOMENTS
11.10.1 CX MOMENTS Company Detail
11.10.2 CX MOMENTS Business Overview
11.10.3 CX MOMENTS Text Mining Software Introduction
11.10.4 CX MOMENTS Revenue in Text Mining Software Business (2019-2024)
11.10.5 CX MOMENTS Recent Development
11.11 Provalis Research
11.11.1 Provalis Research Company Detail
11.11.2 Provalis Research Business Overview
11.11.3 Provalis Research Text Mining Software Introduction
11.11.4 Provalis Research Revenue in Text Mining Software Business (2019-2024)
11.11.5 Provalis Research Recent Development
11.12 Thematic
11.12.1 Thematic Company Detail
11.12.2 Thematic Business Overview
11.12.3 Thematic Text Mining Software Introduction
11.12.4 Thematic Revenue in Text Mining Software Business (2019-2024)
11.12.5 Thematic Recent Development
11.13 Medallia
11.13.1 Medallia Company Detail
11.13.2 Medallia Business Overview
11.13.3 Medallia Text Mining Software Introduction
11.13.4 Medallia Revenue in Text Mining Software Business (2019-2024)
11.13.5 Medallia Recent Development
11.14 Online-Utility.Org
11.14.1 Online-Utility.Org Company Detail
11.14.2 Online-Utility.Org Business Overview
11.14.3 Online-Utility.Org Text Mining Software Introduction
11.14.4 Online-Utility.Org Revenue in Text Mining Software Business (2019-2024)
11.14.5 Online-Utility.Org Recent Development
11.15 MonkeyLearn
11.15.1 MonkeyLearn Company Detail
11.15.2 MonkeyLearn Business Overview
11.15.3 MonkeyLearn Text Mining Software Introduction
11.15.4 MonkeyLearn Revenue in Text Mining Software Business (2019-2024)
11.15.5 MonkeyLearn Recent Development
11.16 SAS Institute
11.16.1 SAS Institute Company Detail
11.16.2 SAS Institute Business Overview
11.16.3 SAS Institute Text Mining Software Introduction
11.16.4 SAS Institute Revenue in Text Mining Software Business (2019-2024)
11.16.5 SAS Institute Recent Development
11.17 Etuma
11.17.1 Etuma Company Detail
11.17.2 Etuma Business Overview
11.17.3 Etuma Text Mining Software Introduction
11.17.4 Etuma Revenue in Text Mining Software Business (2019-2024)
11.17.5 Etuma Recent Development
11.18 LaunchBoard Software
11.18.1 LaunchBoard Software Company Detail
11.18.2 LaunchBoard Software Business Overview
11.18.3 LaunchBoard Software Text Mining Software Introduction
11.18.4 LaunchBoard Software Revenue in Text Mining Software Business (2019-2024)
11.18.5 LaunchBoard Software Recent Development
11.19 Converseon
11.19.1 Converseon Company Detail
11.19.2 Converseon Business Overview
11.19.3 Converseon Text Mining Software Introduction
11.19.4 Converseon Revenue in Text Mining Software Business (2019-2024)
11.19.5 Converseon Recent Development
11.20 Proxem
11.20.1 Proxem Company Detail
11.20.2 Proxem Business Overview
11.20.3 Proxem Text Mining Software Introduction
11.20.4 Proxem Revenue in Text Mining Software Business (2019-2024)
11.20.5 Proxem Recent Development
11.21 NICE Systems
11.21.1 NICE Systems Company Detail
11.21.2 NICE Systems Business Overview
11.21.3 NICE Systems Text Mining Software Introduction
11.21.4 NICE Systems Revenue in Text Mining Software Business (2019-2024)
11.21.5 NICE Systems Recent Development
11.22 Clarabridge
11.22.1 Clarabridge Company Detail
11.22.2 Clarabridge Business Overview
11.22.3 Clarabridge Text Mining Software Introduction
11.22.4 Clarabridge Revenue in Text Mining Software Business (2019-2024)
11.22.5 Clarabridge Recent Development
11.23 Lexalytics
11.23.1 Lexalytics Company Detail
11.23.2 Lexalytics Business Overview
11.23.3 Lexalytics Text Mining Software Introduction
11.23.4 Lexalytics Revenue in Text Mining Software Business (2019-2024)
11.23.5 Lexalytics Recent Development
11.24 DictaNova
11.24.1 DictaNova Company Detail
11.24.2 DictaNova Business Overview
11.24.3 DictaNova Text Mining Software Introduction
11.24.4 DictaNova Revenue in Text Mining Software Business (2019-2024)
11.24.5 DictaNova Recent Development
11.25 MeaningCloud
11.25.1 MeaningCloud Company Detail
11.25.2 MeaningCloud Business Overview
11.25.3 MeaningCloud Text Mining Software Introduction
11.25.4 MeaningCloud Revenue in Text Mining Software Business (2019-2024)
11.25.5 MeaningCloud Recent Development
11.26 Kapiche
11.26.1 Kapiche Company Detail
11.26.2 Kapiche Business Overview
11.26.3 Kapiche Text Mining Software Introduction
11.26.4 Kapiche Revenue in Text Mining Software Business (2019-2024)
11.26.5 Kapiche Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details

Published By : QY Research

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