Selected research
Market Analysis & Forecast
Global Text and Data Mining (TDM) Market Analysis and Forecast 2026-2032
Market perspective
The global Text and Data Mining (TDM) market is projected to grow from US$ million in 2026 to US$ million by 2032, at a Compound Annual Growth Rate (CAGR) of % during the forecast period.
The North America market for Text and Data Mining (TDM) is estimated to increase from $ million in 2026 to reach $ million by 2032, at a CAGR of % during the forecast period of 2026 through 2032.
Europe market for Text and Data Mining (TDM) is estimated to increase from $ million in 2026 to reach $ million by 2032, at a CAGR of % during the forecast period of 2026 through 2032.
Read the full market overview
Asia-Pacific market for Text and Data Mining (TDM) is estimated to increase from $ million in 2026 to reach $ million by 2032, at a CAGR of % during the forecast period of 2026 through 2032.
The China market for Text and Data Mining (TDM) is estimated to increase from $ million in 2026 to reach $ million by 2032, at a CAGR of % during the forecast period of 2026 through 2032.
The major global companies of Text and Data Mining (TDM) include IBM, Qlik, SAS Institute, SAP, Oracle, Tibco, Apache Mahout, MonkeyLearn and Snowplow, etc. In 2025, the world's top three vendors accounted for approximately % of the revenue.
Report Includes
This report presents an overview of global market for Text and Data Mining (TDM), market size. Analyses of the global market trends, with historic market revenue data for 2021 - 2025, estimates for 2026, and projections of CAGR through 2032.
This report researches the key producers of Text and Data Mining (TDM), also provides the revenue of main regions and countries. Of the upcoming market potential for Text and Data Mining (TDM), and key regions or countries of focus to forecast this market into various segments and sub-segments. Country specific data and market value analysis for the U.S., Canada, Mexico, Brazil, China, Japan, South Korea, Southeast Asia, India, Germany, the U.K., Italy, Middle East, Africa, and Other Countries.
This report focuses on the Text and Data Mining (TDM) revenue, market share and industry ranking of main manufacturers, data from 2021 to 2026. Identification of the major stakeholders in the global Text and Data Mining (TDM) market, and analysis of their competitive landscape and market positioning based on recent developments and segmental revenues. This report will help stakeholders to understand the competitive landscape and gain more insights and position their businesses and market strategies in a better way.
This report analyzes the segments data by Type and by Application, revenue, and growth rate, from 2021 to 2032. Evaluation and forecast the market size for Text and Data Mining (TDM) revenue, projected growth trends, production technology, application and end-user industry.
Text and Data Mining (TDM) Segment by Company
IBM
Qlik
SAS Institute
SAP
Oracle
Tibco
Apache Mahout
MonkeyLearn
Snowplow
AWS
Dundas BI
Teradata
Text and Data Mining (TDM) Segment by Type
Cloud-based
On-premises
Text and Data Mining (TDM) Segment by Application
Sales and Marketing
Education
Operational Optimization
Fraud Detection
Text and Data Mining (TDM) Segment by Region
North America
United States
Canada
Mexico
Europe
Germany
France
U.K.
Italy
Russia
Spain
Netherlands
Switzerland
Sweden
Poland
Asia-Pacific
China
Japan
South Korea
India
Australia
Taiwan
Southeast Asia
South America
Brazil
Argentina
Chile
Middle East & Africa
Egypt
South Africa
Israel
Türkiye
GCC Countries
Study Objectives
1. To analyze and research the global status and future forecast, involving growth rate (CAGR), market share, historical and forecast.
2. To present the key players, revenue, market share, and Recent Developments.
3. To split the breakdown data by regions, type, manufacturers, and Application.
4. To analyze the global and key regions market potential and advantage, opportunity and challenge, restraints, and risks.
5. To identify significant trends, drivers, influence factors in global and regions.
6. To analyze competitive developments such as expansions, agreements, new product launches, and acquisitions in the market.
Reasons to Buy This Report
1. This report will help the readers to understand the competition within the industries and strategies for the competitive environment to enhance the potential profit. The report also focuses on the competitive landscape of the global Text and Data Mining (TDM) market, and introduces in detail the market share, industry ranking, competitor ecosystem, market performance, new product development, operation situation, expansion, and acquisition. etc. of the main players, which helps the readers to identify the main competitors and deeply understand the competition pattern of the market.
2. This report will help stakeholders to understand the global industry status and trends of Text and Data Mining (TDM) and provides them with information on key market drivers, restraints, challenges, and opportunities.
3. This report will help stakeholders to understand competitors better and gain more insights to strengthen their position in their businesses. The competitive landscape section includes the market share and rank (in market size), competitor ecosystem, new product development, expansion, and acquisition.
4. This report stays updated with novel technology integration, features, and the latest developments in the market.
5. This report helps stakeholders to gain insights into which regions to target globally.
6. This report helps stakeholders to gain insights into the end-user perception concerning the adoption of Text and Data Mining (TDM).
7. This report helps stakeholders to identify some of the key players in the market and understand their valuable contribution.
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (product type, 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 the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Revenue of Text and Data Mining (TDM) in global and regional level. 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 4: Detailed analysis of Text and Data Mining (TDM) company competitive landscape, revenue, market share and industry ranking, latest development plan, merger, and acquisition information, etc.
Chapter 5: Provides the analysis of various market segments by type, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 6: Provides the analysis of various market segments by application, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 7: Provides profiles of key companies, introducing the basic situation of the main companies in the market in detail, including product descriptions and specifications, Text and Data Mining (TDM) revenue, gross margin, and recent development, etc.
Chapter 8: North America by type, by application and by country, revenue for each segment.
Chapter 9: Europe by type, by application and by country, revenue for each segment.
Chapter 10: China type, by application, revenue for each segment.
Chapter 11: Asia (excluding China) type, by application and by region, revenue for each segment.
Chapter 12: South America, Middle East and Africa by type, by application and by country, revenue for each segment.
Chapter 13: The main concluding insights of the report.
More report detail
Tables and figures
Scope & coverage.
Types
- Cloud-based
- On-premises
Applications
- Sales and Marketing
- Education
- Operational Optimization
- Fraud Detection
Companies covered
- IBM
- Qlik
- SAS Institute
- SAP
- Oracle
- Tibco
- Apache Mahout
- MonkeyLearn
- Snowplow
- AWS
- Dundas BI
- Teradata
Inside the report.
1 Market Overview
- 1.1 Product Definition
- 1.2 Text and Data Mining (TDM) Market by Type
- 1.2.1 Global Text and Data Mining (TDM) Market Size by Type, 2021 VS 2025 VS 2032
- 1.2.2 Cloud-based
- 1.2.3 On-premises
- 1.3 Text and Data Mining (TDM) Market by Application
- 1.3.1 Global Text and Data Mining (TDM) Market Size by Application, 2021 VS 2025 VS 2032
- 1.3.2 Sales and Marketing
- 1.3.3 Education
- 1.3.4 Operational Optimization
- 1.3.5 Fraud Detection
- 1.4 Assumptions and Limitations
- 1.5 Study Goals and Objectives
2 Text and Data Mining (TDM) Market Dynamics
- 2.1 Text and Data Mining (TDM) Industry Trends
- 2.2 Text and Data Mining (TDM) Industry Drivers
- 2.3 Text and Data Mining (TDM) Industry Opportunities and Challenges
- 2.4 Text and Data Mining (TDM) Industry Restraints
3 Global Growth Perspective
- 3.1 Global Text and Data Mining (TDM) Market Perspective (2021-2032)
- 3.2 Global Text and Data Mining (TDM) Growth Trends by Region
- 3.2.1 Global Text and Data Mining (TDM) Market Size by Region: 2021 VS 2025 VS 2032
- 3.2.2 Global Text and Data Mining (TDM) Market Size by Region (2021-2026)
- 3.2.3 Global Text and Data Mining (TDM) Market Size by Region (2027-2032)
4 Competitive Landscape by Players
- 4.1 Global Text and Data Mining (TDM) Revenue by Players
- 4.1.1 Global Text and Data Mining (TDM) Revenue by Players (2021-2026)
- 4.1.2 Global Text and Data Mining (TDM) Revenue Market Share by Players (2021-2026)
- 4.1.3 Global Text and Data Mining (TDM) Players Revenue Share Top 10 and Top 5 in 2025
- 4.2 Global Text and Data Mining (TDM) Key Players Ranking, 2024 VS 2025 VS 2026
- 4.3 Global Text and Data Mining (TDM) Key Players Headquarters & Area Served
- 4.4 Global Text and Data Mining (TDM) Players, Product Type & Application
- 4.5 Global Text and Data Mining (TDM) Players Establishment Date
- 4.6 Market Competitive Analysis
- 4.6.1 Global Text and Data Mining (TDM) Market CR5 and HHI
- 4.6.3 2025 Text and Data Mining (TDM) Tier 1, Tier 2, and Tier 3
5 Text and Data Mining (TDM) Market Size by Type
- 5.1 Global Text and Data Mining (TDM) Revenue by Type (2021 VS 2025 VS 2032)
- 5.2 Global Text and Data Mining (TDM) Revenue by Type (2021-2032)
- 5.3 Global Text and Data Mining (TDM) Revenue Market Share by Type (2021-2032)
6 Text and Data Mining (TDM) Market Size by Application
- 6.1 Global Text and Data Mining (TDM) Revenue by Application (2021 VS 2025 VS 2032)
- 6.2 Global Text and Data Mining (TDM) Revenue by Application (2021-2032)
- 6.3 Global Text and Data Mining (TDM) Revenue Market Share by Application (2021-2032)
7 Company Profiles
- 7.1 IBM
- 7.1.1 IBM Company Information
- 7.1.2 IBM Business Overview
- 7.1.3 IBM Text and Data Mining (TDM) Revenue and Gross Margin (2021-2026)
- 7.1.4 IBM Text and Data Mining (TDM) Product Portfolio
- 7.1.5 IBM Recent Developments
- 7.2 Qlik
- 7.2.1 Qlik Company Information
- 7.2.2 Qlik Business Overview
- 7.2.3 Qlik Text and Data Mining (TDM) Revenue and Gross Margin (2021-2026)
- 7.2.4 Qlik Text and Data Mining (TDM) Product Portfolio
- 7.2.5 Qlik Recent Developments
- 7.3 SAS Institute
- 7.3.1 SAS Institute Company Information
- 7.3.2 SAS Institute Business Overview
- 7.3.3 SAS Institute Text and Data Mining (TDM) Revenue and Gross Margin (2021-2026)
- 7.3.4 SAS Institute Text and Data Mining (TDM) Product Portfolio
- 7.3.5 SAS Institute Recent Developments
- 7.4 SAP
- 7.4.1 SAP Company Information
- 7.4.2 SAP Business Overview
- 7.4.3 SAP Text and Data Mining (TDM) Revenue and Gross Margin (2021-2026)
- 7.4.4 SAP Text and Data Mining (TDM) Product Portfolio
- 7.4.5 SAP Recent Developments
- 7.5 Oracle
- 7.5.1 Oracle Company Information
- 7.5.2 Oracle Business Overview
- 7.5.3 Oracle Text and Data Mining (TDM) Revenue and Gross Margin (2021-2026)
- 7.5.4 Oracle Text and Data Mining (TDM) Product Portfolio
- 7.5.5 Oracle Recent Developments
- 7.6 Tibco
- 7.6.1 Tibco Company Information
- 7.6.2 Tibco Business Overview
- 7.6.3 Tibco Text and Data Mining (TDM) Revenue and Gross Margin (2021-2026)
- 7.6.4 Tibco Text and Data Mining (TDM) Product Portfolio
- 7.6.5 Tibco Recent Developments
- 7.7 Apache Mahout
- 7.7.1 Apache Mahout Company Information
- 7.7.2 Apache Mahout Business Overview
- 7.7.3 Apache Mahout Text and Data Mining (TDM) Revenue and Gross Margin (2021-2026)
- 7.7.4 Apache Mahout Text and Data Mining (TDM) Product Portfolio
- 7.7.5 Apache Mahout Recent Developments
- 7.8 MonkeyLearn
- 7.8.1 MonkeyLearn Company Information
- 7.8.2 MonkeyLearn Business Overview
- 7.8.3 MonkeyLearn Text and Data Mining (TDM) Revenue and Gross Margin (2021-2026)
- 7.8.4 MonkeyLearn Text and Data Mining (TDM) Product Portfolio
- 7.8.5 MonkeyLearn Recent Developments
- 7.9 Snowplow
- 7.9.1 Snowplow Company Information
- 7.9.2 Snowplow Business Overview
- 7.9.3 Snowplow Text and Data Mining (TDM) Revenue and Gross Margin (2021-2026)
- 7.9.4 Snowplow Text and Data Mining (TDM) Product Portfolio
- 7.9.5 Snowplow Recent Developments
- 7.10 AWS
- 7.10.1 AWS Company Information
- 7.10.2 AWS Business Overview
- 7.10.3 AWS Text and Data Mining (TDM) Revenue and Gross Margin (2021-2026)
- 7.10.4 AWS Text and Data Mining (TDM) Product Portfolio
- 7.10.5 AWS Recent Developments
- 7.11 Dundas BI
- 7.11.1 Dundas BI Company Information
- 7.11.2 Dundas BI Business Overview
- 7.11.3 Dundas BI Text and Data Mining (TDM) Revenue and Gross Margin (2021-2026)
- 7.11.4 Dundas BI Text and Data Mining (TDM) Product Portfolio
- 7.11.5 Dundas BI Recent Developments
- 7.12 Teradata
- 7.12.1 Teradata Company Information
- 7.12.2 Teradata Business Overview
- 7.12.3 Teradata Text and Data Mining (TDM) Revenue and Gross Margin (2021-2026)
- 7.12.4 Teradata Text and Data Mining (TDM) Product Portfolio
- 7.12.5 Teradata Recent Developments
8 North America
- 8.1 North America Text and Data Mining (TDM) Revenue (2021-2032)
- 8.2 North America Text and Data Mining (TDM) Revenue by Type (2021-2032)
- 8.2.1 North America Text and Data Mining (TDM) Revenue by Type (2021-2026)
- 8.2.2 North America Text and Data Mining (TDM) Revenue by Type (2027-2032)
- 8.3 North America Text and Data Mining (TDM) Revenue Share by Type (2021-2032)
- 8.4 North America Text and Data Mining (TDM) Revenue by Application (2021-2032)
- 8.4.1 North America Text and Data Mining (TDM) Revenue by Application (2021-2026)
- 8.4.2 North America Text and Data Mining (TDM) Revenue by Application (2027-2032)
- 8.5 North America Text and Data Mining (TDM) Revenue Share by Application (2021-2032)
- 8.6 North America Text and Data Mining (TDM) Revenue by Country
- 8.6.1 North America Text and Data Mining (TDM) Revenue by Country (2021 VS 2025 VS 2032)
- 8.6.2 North America Text and Data Mining (TDM) Revenue by Country (2021-2026)
- 8.6.3 North America Text and Data Mining (TDM) Revenue by Country (2027-2032)
- 8.6.4 United States
- 8.6.5 Canada
- 8.6.6 Mexico
9 Europe
- 9.1 Europe Text and Data Mining (TDM) Revenue (2021-2032)
- 9.2 Europe Text and Data Mining (TDM) Revenue by Type (2021-2032)
- 9.2.1 Europe Text and Data Mining (TDM) Revenue by Type (2021-2026)
- 9.2.2 Europe Text and Data Mining (TDM) Revenue by Type (2027-2032)
- 9.3 Europe Text and Data Mining (TDM) Revenue Share by Type (2021-2032)
- 9.4 Europe Text and Data Mining (TDM) Revenue by Application (2021-2032)
- 9.4.1 Europe Text and Data Mining (TDM) Revenue by Application (2021-2026)
- 9.4.2 Europe Text and Data Mining (TDM) Revenue by Application (2027-2032)
- 9.5 Europe Text and Data Mining (TDM) Revenue Share by Application (2021-2032)
- 9.6 Europe Text and Data Mining (TDM) Revenue by Country
- 9.6.1 Europe Text and Data Mining (TDM) Revenue by Country (2021 VS 2025 VS 2032)
- 9.6.2 Europe Text and Data Mining (TDM) Revenue by Country (2021-2026)
- 9.6.3 Europe Text and Data Mining (TDM) Revenue by Country (2027-2032)
- 9.6.4 Germany
- 9.6.5 France
- 9.6.6 U.K.
- 9.6.7 Italy
- 9.6.8 Russia
- 9.6.9 Spain
- 9.6.10 Netherlands
- 9.6.11 Switzerland
- 9.6.12 Sweden
- 9.6.13 Poland
10 China
- 10.1 China Text and Data Mining (TDM) Revenue (2021-2032)
- 10.2 China Text and Data Mining (TDM) Revenue by Type (2021-2032)
- 10.2.1 China Text and Data Mining (TDM) Revenue by Type (2021-2026)
- 10.2.2 China Text and Data Mining (TDM) Revenue by Type (2027-2032)
- 10.3 China Text and Data Mining (TDM) Revenue Share by Type (2021-2032)
- 10.4 China Text and Data Mining (TDM) Revenue by Application (2021-2032)
- 10.4.1 China Text and Data Mining (TDM) Revenue by Application (2021-2026)
- 10.4.2 China Text and Data Mining (TDM) Revenue by Application (2027-2032)
- 10.5 China Text and Data Mining (TDM) Revenue Share by Application (2021-2032)
11 Asia (Excluding China)
- 11.1 Asia Text and Data Mining (TDM) Revenue (2021-2032)
- 11.2 Asia Text and Data Mining (TDM) Revenue by Type (2021-2032)
- 11.2.1 Asia Text and Data Mining (TDM) Revenue by Type (2021-2026)
- 11.2.2 Asia Text and Data Mining (TDM) Revenue by Type (2027-2032)
- 11.3 Asia Text and Data Mining (TDM) Revenue Share by Type (2021-2032)
- 11.4 Asia Text and Data Mining (TDM) Revenue by Application (2021-2032)
- 11.4.1 Asia Text and Data Mining (TDM) Revenue by Application (2021-2026)
- 11.4.2 Asia Text and Data Mining (TDM) Revenue by Application (2027-2032)
- 11.5 Asia Text and Data Mining (TDM) Revenue Share by Application (2021-2032)
- 11.6 Asia Text and Data Mining (TDM) Revenue by Country
- 11.6.1 Asia Text and Data Mining (TDM) Revenue by Country (2021 VS 2025 VS 2032)
- 11.6.2 Asia Text and Data Mining (TDM) Revenue by Country (2021-2026)
- 11.6.3 Asia Text and Data Mining (TDM) Revenue by Country (2027-2032)
- 11.6.4 Japan
- 11.6.5 South Korea
- 11.6.6 India
- 11.6.7 Australia
- 11.6.8 Taiwan
- 11.6.9 Southeast Asia
12 South America, Middle East and Africa
- 12.1 SAMEA Text and Data Mining (TDM) Revenue (2021-2032)
- 12.2 SAMEA Text and Data Mining (TDM) Revenue by Type (2021-2032)
- 12.2.1 SAMEA Text and Data Mining (TDM) Revenue by Type (2021-2026)
- 12.2.2 SAMEA Text and Data Mining (TDM) Revenue by Type (2027-2032)
- 12.3 SAMEA Text and Data Mining (TDM) Revenue Share by Type (2021-2032)
- 12.4 SAMEA Text and Data Mining (TDM) Revenue by Application (2021-2032)
- 12.4.1 SAMEA Text and Data Mining (TDM) Revenue by Application (2021-2026)
- 12.4.2 SAMEA Text and Data Mining (TDM) Revenue by Application (2027-2032)
- 12.5 SAMEA Text and Data Mining (TDM) Revenue Share by Application (2021-2032)
- 12.6 SAMEA Text and Data Mining (TDM) Revenue by Country
- 12.6.1 SAMEA Text and Data Mining (TDM) Revenue by Country (2021 VS 2025 VS 2032)
- 12.6.2 SAMEA Text and Data Mining (TDM) Revenue by Country (2021-2026)
- 12.6.3 SAMEA Text and Data Mining (TDM) Revenue by Country (2027-2032)
- 12.6.4 Brazil
- 12.6.5 Argentina
- 12.6.6 Chile
- 12.6.7 Colombia
- 12.6.8 Peru
- 12.6.9 Saudi Arabia
- 12.6.10 Israel
- 12.6.11 UAE
- 12.6.12 Turkey
- 12.6.13 Iran
- 12.6.14 Egypt
13 Concluding Insights
14 Appendix
- 14.1 Reasons for Doing This Study
- 14.2 Research Methodology
- 14.3 Research Process
- 14.4 Authors List of This Report
- 14.5 Data Source
- 14.5.1 Secondary Sources
- 14.5.2 Primary Sources
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