Selected research
Industry Growth & Trends
Global Text and Data Mining (TDM) Industry Growth and Trends Forecast to 2032
Market perspective
According to APO Research, the global Text and Data Mining (TDM) market was valued at US$ million in 2026 and is projected to reach US$ million by 2032, implying a CAGR of xx% over 2026-2032.
The North America market for Text and Data Mining (TDM) is projected to increase from US$ million in 2026 to US$ million by 2032, corresponding to a CAGR of % over 2026-2032.
The Europe market for Text and Data Mining (TDM) is projected to increase from US$ million in 2026 to US$ million by 2032, registering a CAGR of % over 2026-2032.
Read the full market overview
The Asia Pacific market for Text and Data Mining (TDM) is projected to increase from US$ million in 2026 to US$ million by 2032, at a CAGR of % over 2026-2032.
Leading global companies in the Text and Data Mining (TDM) market 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
This report provides a structured, data-driven view of the global Text and Data Mining (TDM) market, combining harmonized quantitative metrics with targeted qualitative insight to support business and growth strategy, market positioning, and capital allocation.
The Text and Data Mining (TDM) market size, estimates, and forecasts are presented in terms of revenue (US$ million), with 2025 as the base year and historical and forecast data for 2021-2032. The report segments the global Text and Data Mining (TDM) market by Type, Application, region/country, and company, provides regional market sizes at the segment level, profiles the competitive landscape and key players and their market ranks, and reviews technology trends and new product developments relevant to Text and Data Mining (TDM).
Key Companies & Market Share Insights
This section analyzes the strategies and performance of leading companies in the global Text and Data Mining (TDM) market, including portfolio focus, innovation and product development, mergers and acquisitions, collaborations, and geographic expansion used to sustain or enhance competitive positions. It also summarizes recent corporate developments and key financial indicators and provides global revenue and gross margin data by manufacturer for 2021-2026, enabling benchmarking of scale, profitability, and market share and supporting assessment of market concentration through indicators such as CR5 and CR10.
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
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
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 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: Introduces the report scope of the report, executive summary of global and regional market size and CAGR for the history and forecast period (2021-2025, 2026-2031). 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: 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 3: 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 4: 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 5: Detailed analysis of Text and Data Mining (TDM) companies' competitive landscape, revenue, market share and ranking, latest development plan, merger, and acquisition information, etc.
Chapter 6: 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 7, 8, 9, 10 and 11: North America, Europe, Asia Pacific, South America, Middle East & Africa, revenue by country.
Chapter 12: 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 Global Market Growth Prospects
- 1.3 Global Text and Data Mining (TDM) Market Size Overview by Region 2021 VS 2025 VS 2032
- 1.4 Global Text and Data Mining (TDM) Market Size by Region (2021-2032)
- 1.4.1 Global Text and Data Mining (TDM) Market Size by Region (2021-2026)
- 1.4.2 Global Text and Data Mining (TDM) Market Size by Region (2027-2032)
- 1.5 Key Regions Text and Data Mining (TDM) Market Size (2021-2032)
- 1.5.1 North America Text and Data Mining (TDM) Market Size Growth Rate (2021-2032)
- 1.5.2 Europe Text and Data Mining (TDM) Market Size Growth Rate (2021-2032)
- 1.5.3 Asia-Pacific Text and Data Mining (TDM) Market Size Growth Rate (2021-2032)
- 1.5.4 South America Text and Data Mining (TDM) Market Size Growth Rate (2021-2032)
- 1.5.5 Middle East & Africa Text and Data Mining (TDM) Market Size Growth Rate (2021-2032)
2 Text and Data Mining (TDM) Market by Type
- 2.1 Type Introduction
- 2.1.1 Cloud-based
- 2.1.2 On-premises
- 2.2 Global Text and Data Mining (TDM) Market Size by Type
- 2.2.1 Global Text and Data Mining (TDM) Market Size Overview by Type (2021-2032)
- 2.2.2 Global Text and Data Mining (TDM) Historic Market Size Review by Type (2021-2026)
- 2.2.3 Global Text and Data Mining (TDM) Market Size Forecasted by Type (2027-2032)
- 2.3 Global Text and Data Mining (TDM) Market Size by Regions
- 2.3.1 North America Text and Data Mining (TDM) Market Size Breakdown by Type (2021-2026)
- 2.3.2 Europe Text and Data Mining (TDM) Market Size Breakdown by Type (2021-2026)
- 2.3.3 Asia-Pacific Text and Data Mining (TDM) Market Size Breakdown by Type (2021-2026)
- 2.3.4 South America Text and Data Mining (TDM) Market Size Breakdown by Type (2021-2026)
- 2.3.5 Middle East and Africa Text and Data Mining (TDM) Market Size Breakdown by Type (2021-2026)
3 Text and Data Mining (TDM) Market by Application
- 3.1 Type Introduction
- 3.1.1 Sales and Marketing
- 3.1.2 Education
- 3.1.3 Operational Optimization
- 3.1.4 Fraud Detection
- 3.2 Global Text and Data Mining (TDM) Market Size by Application
- 3.2.1 Global Text and Data Mining (TDM) Market Size Overview by Application (2021-2032)
- 3.2.2 Global Text and Data Mining (TDM) Historic Market Size Review by Application (2021-2026)
- 3.2.3 Global Text and Data Mining (TDM) Market Size Forecasted by Application (2027-2032)
- 3.3 Global Text and Data Mining (TDM) Market Size by Regions
- 3.3.1 North America Text and Data Mining (TDM) Market Size Breakdown by Application (2021-2026)
- 3.3.2 Europe Text and Data Mining (TDM) Market Size Breakdown by Application (2021-2026)
- 3.3.3 Asia-Pacific Text and Data Mining (TDM) Market Size Breakdown by Application (2021-2026)
- 3.3.4 South America Text and Data Mining (TDM) Market Size Breakdown by Application (2021-2026)
- 3.3.5 Middle East and Africa Text and Data Mining (TDM) Market Size Breakdown by Application (2021-2026)
4 Global Market Dynamics
- 4.1 Text and Data Mining (TDM) Industry Trends
- 4.2 Text and Data Mining (TDM) Industry Drivers
- 4.3 Text and Data Mining (TDM) Industry Opportunities and Challenges
- 4.4 Text and Data Mining (TDM) Industry Restraints
5 Competitive Insights by Company
- 5.1 Global Top Players by Text and Data Mining (TDM) Revenue (2021-2026)
- 5.2 Global Text and Data Mining (TDM) Industry Company Ranking, 2024 VS 2025 VS 2026
- 5.3 Global Text and Data Mining (TDM) Key Company Headquarters & Area Served
- 5.4 Global Text and Data Mining (TDM) Company, Product Type & Application
- 5.5 Global Text and Data Mining (TDM) Company Commercialization Time
- 5.6 Market Competitive Analysis
- 5.6.1 Global Text and Data Mining (TDM) Market CR5 and HHI
- 5.6.2 Global Top 5 and 10 Text and Data Mining (TDM) Players Market Share by Revenue in 2025
- 5.6.3 2025 Text and Data Mining (TDM) Tier 1, Tier 2, and Tier 3
6 Company Profiles
- 6.1 IBM
- 6.1.1 IBM Company Information
- 6.1.2 IBM Business Overview
- 6.1.3 IBM Text and Data Mining (TDM) Revenue, Global Share and Gross Margin (2021-2026)
- 6.1.4 IBM Text and Data Mining (TDM) Product Portfolio
- 6.1.5 IBM Recent Developments
- 6.2 Qlik
- 6.2.1 Qlik Company Information
- 6.2.2 Qlik Business Overview
- 6.2.3 Qlik Text and Data Mining (TDM) Revenue, Global Share and Gross Margin (2021-2026)
- 6.2.4 Qlik Text and Data Mining (TDM) Product Portfolio
- 6.2.5 Qlik Recent Developments
- 6.3 SAS Institute
- 6.3.1 SAS Institute Company Information
- 6.3.2 SAS Institute Business Overview
- 6.3.3 SAS Institute Text and Data Mining (TDM) Revenue, Global Share and Gross Margin (2021-2026)
- 6.3.4 SAS Institute Text and Data Mining (TDM) Product Portfolio
- 6.3.5 SAS Institute Recent Developments
- 6.4 SAP
- 6.4.1 SAP Company Information
- 6.4.2 SAP Business Overview
- 6.4.3 SAP Text and Data Mining (TDM) Revenue, Global Share and Gross Margin (2021-2026)
- 6.4.4 SAP Text and Data Mining (TDM) Product Portfolio
- 6.4.5 SAP Recent Developments
- 6.5 Oracle
- 6.5.1 Oracle Company Information
- 6.5.2 Oracle Business Overview
- 6.5.3 Oracle Text and Data Mining (TDM) Revenue, Global Share and Gross Margin (2021-2026)
- 6.5.4 Oracle Text and Data Mining (TDM) Product Portfolio
- 6.5.5 Oracle Recent Developments
- 6.6 Tibco
- 6.6.1 Tibco Company Information
- 6.6.2 Tibco Business Overview
- 6.6.3 Tibco Text and Data Mining (TDM) Revenue, Global Share and Gross Margin (2021-2026)
- 6.6.4 Tibco Text and Data Mining (TDM) Product Portfolio
- 6.6.5 Tibco Recent Developments
- 6.7 Apache Mahout
- 6.7.1 Apache Mahout Company Information
- 6.7.2 Apache Mahout Business Overview
- 6.7.3 Apache Mahout Text and Data Mining (TDM) Revenue, Global Share and Gross Margin (2021-2026)
- 6.7.4 Apache Mahout Text and Data Mining (TDM) Product Portfolio
- 6.7.5 Apache Mahout Recent Developments
- 6.8 MonkeyLearn
- 6.8.1 MonkeyLearn Company Information
- 6.8.2 MonkeyLearn Business Overview
- 6.8.3 MonkeyLearn Text and Data Mining (TDM) Revenue, Global Share and Gross Margin (2021-2026)
- 6.8.4 MonkeyLearn Text and Data Mining (TDM) Product Portfolio
- 6.8.5 MonkeyLearn Recent Developments
- 6.9 Snowplow
- 6.9.1 Snowplow Company Information
- 6.9.2 Snowplow Business Overview
- 6.9.3 Snowplow Text and Data Mining (TDM) Revenue, Global Share and Gross Margin (2021-2026)
- 6.9.4 Snowplow Text and Data Mining (TDM) Product Portfolio
- 6.9.5 Snowplow Recent Developments
- 6.10 AWS
- 6.10.1 AWS Company Information
- 6.10.2 AWS Business Overview
- 6.10.3 AWS Text and Data Mining (TDM) Revenue, Global Share and Gross Margin (2021-2026)
- 6.10.4 AWS Text and Data Mining (TDM) Product Portfolio
- 6.10.5 AWS Recent Developments
- 6.11 Dundas BI
- 6.11.1 Dundas BI Company Information
- 6.11.2 Dundas BI Business Overview
- 6.11.3 Dundas BI Text and Data Mining (TDM) Revenue, Global Share and Gross Margin (2021-2026)
- 6.11.4 Dundas BI Text and Data Mining (TDM) Product Portfolio
- 6.11.5 Dundas BI Recent Developments
- 6.12 Teradata
- 6.12.1 Teradata Company Information
- 6.12.2 Teradata Business Overview
- 6.12.3 Teradata Text and Data Mining (TDM) Revenue, Global Share and Gross Margin (2021-2026)
- 6.12.4 Teradata Text and Data Mining (TDM) Product Portfolio
- 6.12.5 Teradata Recent Developments
7 North America
- 7.1 North America Text and Data Mining (TDM) Market Size Growth Rate (CAGR) by Country: 2021 VS 2025 VS 2032
- 7.2 North America Text and Data Mining (TDM) Market Size by Country (2021-2026)
- 7.3 North America Text and Data Mining (TDM) Market Size Forecast by Country (2027-2032)
8 Europe
- 8.1 Europe Text and Data Mining (TDM) Market Size Growth Rate (CAGR) by Country: 2021 VS 2025 VS 2032
- 8.2 Europe Text and Data Mining (TDM) Market Size by Country (2021-2026)
- 8.3 Europe Text and Data Mining (TDM) Market Size Forecast by Country (2027-2032)
9 Asia-Pacific
- 9.1 Asia-Pacific Text and Data Mining (TDM) Market Size Growth Rate (CAGR) by Country: 2021 VS 2025 VS 2032
- 9.2 Asia-Pacific Text and Data Mining (TDM) Market Size by Country (2021-2026)
- 9.3 Asia-Pacific Text and Data Mining (TDM) Market Size Forecast by Country (2027-2032)
10 South America
- 10.1 South America Text and Data Mining (TDM) Market Size Growth Rate (CAGR) by Country: 2021 VS 2025 VS 2032
- 10.2 South America Text and Data Mining (TDM) Market Size by Country (2021-2026)
- 10.3 South America Text and Data Mining (TDM) Market Size Forecast by Country (2027-2032)
11 Middle East & Africa
- 11.1 Middle East & Africa Text and Data Mining (TDM) Market Size Growth Rate (CAGR) by Country: 2021 VS 2025 VS 2032
- 11.2 Middle East & Africa Text and Data Mining (TDM) Market Size by Country (2021-2026)
- 11.3 Middle East & Africa Text and Data Mining (TDM) Market Size Forecast by Country (2027-2032)
12 Concluding Insights
13 Appendix
- 13.1 Reasons for Doing This Study
- 13.2 Research Methodology
- 13.3 Research Process
- 13.4 Authors List of This Report
- 13.5 Data Source
- 13.5.1 Secondary Sources
- 13.5.2 Primary Sources
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