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Industry Research
Text and Data Mining (TDM) Industry Research Report 2026
Market perspective
The global Text and Data Mining (TDM) market was valued at US$ million in 2025 and is projected to reach US$ million by 2032, implying a CAGR of % over 2026–2032.
North America: the Text and Data Mining (TDM) market is projected to increase from US$ million in 2026 to US$ million by 2032, reflecting a CAGR of % over 2026–2032. Europe: the Text and Data Mining (TDM) market is projected to rise from US$ million in 2026 to US$ million by 2032, registering a CAGR of % over 2026–2032. Asia Pacific: the Text and Data Mining (TDM) market is expected to grow from US$ million in 2026 to US$ million by 2032, at a CAGR of % over 2026–2032. Leading global service providers of Text and Data Mining (TDM) include IBM, Qlik, SAS Institute, SAP, Oracle, Tibco, Apache Mahout, MonkeyLearn and Snowplow, among others; in 2025, the top three vendors together accounted for approximately % of global revenue.
Report Scope
Read the full market overview
This report quantifies the global Text and Data Mining (TDM) market in terms of revenue (US$ million) and, where applicable, service volume (k units), using 2024 as the base year and providing annual historical and forecast data for 2021–2032.
It standardizes definitions of service Types and end-use Applications, harmonizes provider attribution, and delivers comparable time series by company, Type, Application, and region or country, including indicative price bands (US$/k units) and concentration ratios (CR5/CR10). Outputs are intended to support service design, budgeting, capacity planning, and benchmarking for providers, platforms, channel partners, and investors; the report also reviews technology shifts and notable service innovations relevant to Text and Data Mining (TDM).
Key Companies & Market Share Insights
This section profiles leading service providers with 2021–2025 results and a 2026–2032 outlook—covering revenue, market share, price bands, service portfolio and client mix, regional and channel mix, and key developments (M&A, network expansion, certifications). It also provides global revenue, average price, and—where applicable—volume metrics by provider, and calculates CR5/CR10 and rank changes to support comparative benchmarking.
Text and Data Mining (TDM) Market 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
Spain
Russia
Netherlands
Nordic Countries
Asia-Pacific
China
Japan
South Korea
India
Australia
Taiwan
Southeast Asia
South America
Brazil
Argentina
Chile
Middle East & Africa
Saudi Arabia
Israel
United Arab Emirates
Turkey
Iran
Egypt
Key Drivers & Barriers
High-impact rendering factors and drivers have been studied in this report to aid the readers to understand the general development. Moreover, the report includes restraints and challenges that may act as stumbling blocks on the way of the players. This will assist the users to be attentive and make informed decisions related to business. Specialists have also laid their focus on the upcoming business prospects.
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 volume and value), 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: Research objectives, research methods, data sources, data cross-validation;
Chapter 2: 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 3: Provides the analysis of various market segments product types, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 4: Provides the analysis of various market segments 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 5: 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 6: Detailed analysis of Text and Data Mining (TDM) companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 7, 8, 9, 10, 11: North America, Europe, Asia Pacific, South 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 12: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including revenue, gross margin, product introduction, recent development, etc.
Chapter 13: The main points and conclusions 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 Preface
- 1.1 Scope of Report
- 1.2 Reasons for Doing This Study
- 1.3 Research Methodology
- 1.4 Research Process
- 1.5 Data Source
- 1.5.1 Secondary Sources
- 1.5.2 Primary Sources
2 Market Overview
- 2.1 Product Definition
- 2.2 Text and Data Mining (TDM) by Type
- 2.2.1 Market Value Comparison by Type (2021 VS 2025 VS 2032)
- 2.2.2 Cloud-based
- 2.2.3 On-premises
- 2.3 Text and Data Mining (TDM) by Application
- 2.3.1 Market Value Comparison by Application (2021 VS 2025 VS 2032)
- 2.3.2 Sales and Marketing
- 2.3.3 Education
- 2.3.4 Operational Optimization
- 2.3.5 Fraud Detection
- 2.4 Assumptions and Limitations
3 Text and Data Mining (TDM) Breakdown Data by Type
- 3.1 Global Text and Data Mining (TDM) Historic Market Size by Type (2021-2026)
- 3.2 Global Text and Data Mining (TDM) Forecasted Market Size by Type (2027-2032)
4 Text and Data Mining (TDM) Breakdown Data by Application
- 4.1 Global Text and Data Mining (TDM) Historic Market Size by Application (2021-2026)
- 4.2 Global Text and Data Mining (TDM) Forecasted Market Size by Application (2027-2032)
5 Global Growth Trends
- 5.1 Global Text and Data Mining (TDM) Market Perspective (2021-2032)
- 5.2 Global Text and Data Mining (TDM) Growth Trends by Region
- 5.2.1 Global Text and Data Mining (TDM) Market Size by Region: 2021 VS 2025 VS 2032
- 5.2.2 Text and Data Mining (TDM) Historic Market Size by Region (2021-2026)
- 5.2.3 Text and Data Mining (TDM) Forecasted Market Size by Region (2027-2032)
- 5.3 Text and Data Mining (TDM) Market Dynamics
- 5.3.1 Text and Data Mining (TDM) Industry Trends
- 5.3.2 Text and Data Mining (TDM) Market Drivers
- 5.3.3 Text and Data Mining (TDM) Market Challenges
- 5.3.4 Text and Data Mining (TDM) Market Restraints
6 Market Competitive Landscape by Players
- 6.1 Global Top Text and Data Mining (TDM) Players by Revenue
- 6.1.1 Global Top Text and Data Mining (TDM) Players by Revenue (2021-2026)
- 6.1.2 Global Text and Data Mining (TDM) Revenue Market Share by Players (2021-2026)
- 6.2 Global Text and Data Mining (TDM) Industry Players Ranking, 2023 VS 2024 VS 2025
- 6.3 Global Key Players of Text and Data Mining (TDM) Head Office and Area Served
- 6.4 Global Text and Data Mining (TDM) Players, Product Type & Application
- 6.5 Global Text and Data Mining (TDM) Manufacturers Established Date
- 6.6 Global Text and Data Mining (TDM) Market CR5 and HHI
- 6.7 Global Players Mergers & Acquisition
7 North America
- 7.1 North America Text and Data Mining (TDM) Market Size (2021-2032)
- 7.2 North America Text and Data Mining (TDM) Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 7.3 North America Text and Data Mining (TDM) Market Size by Country (2021-2026)
- 7.4 North America Text and Data Mining (TDM) Market Size by Country (2027-2032)
- 7.5 United States
- 7.5 United States
- 7.6 Canada
- 7.7 Mexico
8 Europe
- 8.1 Europe Text and Data Mining (TDM) Market Size (2021-2032)
- 8.2 Europe Text and Data Mining (TDM) Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 8.3 Europe Text and Data Mining (TDM) Market Size by Country (2021-2026)
- 8.4 Europe Text and Data Mining (TDM) Market Size by Country (2027-2032)
- 8.5 Germany
- 8.6 France
- 8.7 U.K.
- 8.8 Italy
- 8.9 Spain
- 8.10 Russia
- 8.11 Netherlands
- 8.12 Nordic Countries
9 Asia-Pacific
- 9.1 Asia-Pacific Text and Data Mining (TDM) Market Size (2021-2032)
- 9.2 Asia-Pacific Text and Data Mining (TDM) Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 9.3 Asia-Pacific Text and Data Mining (TDM) Market Size by Country (2021-2026)
- 9.4 Asia-Pacific Text and Data Mining (TDM) Market Size by Country (2027-2032)
- 9.5 China
- 9.6 Japan
- 9.7 South Korea
- 9.8 India
- 9.9 Australia
- 9.10 China Taiwan
- 9.11 Southeast Asia
10 South America
- 10.1 South America Text and Data Mining (TDM) Market Size (2021-2032)
- 10.2 South America Text and Data Mining (TDM) Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 10.3 South America Text and Data Mining (TDM) Market Size by Country (2021-2026)
- 10.4 South America Text and Data Mining (TDM) Market Size by Country (2027-2032)
- 10.5 Brazil
- 10.6 Argentina
- 10.7 Chile
- 10.8 Colombia
- 10.9 Peru
11 Middle East & Africa
- 11.1 Middle East & Africa Text and Data Mining (TDM) Market Size (2021-2032)
- 11.2 Middle East & Africa Text and Data Mining (TDM) Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 11.3 Middle East & Africa Text and Data Mining (TDM) Market Size by Country (2021-2026)
- 11.4 Middle East & Africa Text and Data Mining (TDM) Market Size by Country (2027-2032)
- 11.5 Saudi Arabia
- 11.6 Israel
- 11.7 United Arab Emirates
- 11.8 Turkey
- 11.9 Iran
- 11.10 Egypt
12 Players Profiled
- 12.1 IBM
- 12.1.1 IBM Company Information
- 12.1.2 IBM Business Overview
- 12.1.3 IBM Revenue in Text and Data Mining (TDM) Business (2021-2026)
- 12.1.4 IBM Text and Data Mining (TDM) Product Portfolio
- 12.1.5 IBM Recent Developments
- 12.2 Qlik
- 12.2.1 Qlik Company Information
- 12.2.2 Qlik Business Overview
- 12.2.3 Qlik Revenue in Text and Data Mining (TDM) Business (2021-2026)
- 12.2.4 Qlik Text and Data Mining (TDM) Product Portfolio
- 12.2.5 Qlik Recent Developments
- 12.3 SAS Institute
- 12.3.1 SAS Institute Company Information
- 12.3.2 SAS Institute Business Overview
- 12.3.3 SAS Institute Revenue in Text and Data Mining (TDM) Business (2021-2026)
- 12.3.4 SAS Institute Text and Data Mining (TDM) Product Portfolio
- 12.3.5 SAS Institute Recent Developments
- 12.4 SAP
- 12.4.1 SAP Company Information
- 12.4.2 SAP Business Overview
- 12.4.3 SAP Revenue in Text and Data Mining (TDM) Business (2021-2026)
- 12.4.4 SAP Text and Data Mining (TDM) Product Portfolio
- 12.4.5 SAP Recent Developments
- 12.5 Oracle
- 12.5.1 Oracle Company Information
- 12.5.2 Oracle Business Overview
- 12.5.3 Oracle Revenue in Text and Data Mining (TDM) Business (2021-2026)
- 12.5.4 Oracle Text and Data Mining (TDM) Product Portfolio
- 12.5.5 Oracle Recent Developments
- 12.6 Tibco
- 12.6.1 Tibco Company Information
- 12.6.2 Tibco Business Overview
- 12.6.3 Tibco Revenue in Text and Data Mining (TDM) Business (2021-2026)
- 12.6.4 Tibco Text and Data Mining (TDM) Product Portfolio
- 12.6.5 Tibco Recent Developments
- 12.7 Apache Mahout
- 12.7.1 Apache Mahout Company Information
- 12.7.2 Apache Mahout Business Overview
- 12.7.3 Apache Mahout Revenue in Text and Data Mining (TDM) Business (2021-2026)
- 12.7.4 Apache Mahout Text and Data Mining (TDM) Product Portfolio
- 12.7.5 Apache Mahout Recent Developments
- 12.8 MonkeyLearn
- 12.8.1 MonkeyLearn Company Information
- 12.8.2 MonkeyLearn Business Overview
- 12.8.3 MonkeyLearn Revenue in Text and Data Mining (TDM) Business (2021-2026)
- 12.8.4 MonkeyLearn Text and Data Mining (TDM) Product Portfolio
- 12.8.5 MonkeyLearn Recent Developments
- 12.9 Snowplow
- 12.9.1 Snowplow Company Information
- 12.9.2 Snowplow Business Overview
- 12.9.3 Snowplow Revenue in Text and Data Mining (TDM) Business (2021-2026)
- 12.9.4 Snowplow Text and Data Mining (TDM) Product Portfolio
- 12.9.5 Snowplow Recent Developments
- 12.10 AWS
- 12.10.1 AWS Company Information
- 12.10.2 AWS Business Overview
- 12.10.3 AWS Revenue in Text and Data Mining (TDM) Business (2021-2026)
- 12.10.4 AWS Text and Data Mining (TDM) Product Portfolio
- 12.10.5 AWS Recent Developments
- 12.11 Dundas BI
- 12.11.1 Dundas BI Company Information
- 12.11.2 Dundas BI Business Overview
- 12.11.3 Dundas BI Revenue in Text and Data Mining (TDM) Business (2021-2026)
- 12.11.4 Dundas BI Text and Data Mining (TDM) Product Portfolio
- 12.11.5 Dundas BI Recent Developments
- 12.12 Teradata
- 12.12.1 Teradata Company Information
- 12.12.2 Teradata Business Overview
- 12.12.3 Teradata Revenue in Text and Data Mining (TDM) Business (2021-2026)
- 12.12.4 Teradata Text and Data Mining (TDM) Product Portfolio
- 12.12.5 Teradata Recent Developments
13 Report Conclusion
14 Disclaimer
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