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Text Mining Global Market Report 2025
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Text mining refers to the systematic process of extracting valuable insights and information from unstructured text data. This involves utilizing techniques such as natural language processing (NLP), machine learning, and statistical analysis to uncover patterns, trends, and relationships within extensive textual datasets. Key tasks facilitated by text mining include sentiment analysis, document categorization, and information retrieval.

The primary product types in text mining are on-premise and cloud-based solutions. On-premise text mining software is installed and operated on the organization's internal computers or servers, rather than being hosted on a remote facility or cloud service. These applications find application across various domains including data analysis and forecasting, fraud and spam detection, intelligence and law enforcement, customer relationship management (CRM), NLP-driven text mining, and sentiment analysis. End-users of text mining software span diverse sectors such as healthcare, retail, banking, financial services and insurance (BFSI), government, media and entertainment, among others.

The text mining market research report is one of a series of new reports from The Business Research Company that provides text mining market statistics, including text mining industry global market size, regional shares, competitors with a text mining market share, detailed text mining market segments, market trends and opportunities, and any further data you may need to thrive in the text mining industry. This text mining market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The text mining market size has grown exponentially in recent years. It will grow from $7.05 billion in 2024 to $8.51 billion in 2025 at a compound annual growth rate (CAGR) of 20.7%. The growth in the historic period can be attributed to the growing demand for data-driven decision-making across industries, the development of more sophisticated machine learning algorithms, the integration of text mining with customer relationship management (CRM) systems, regulatory requirements, the emergence of sentiment analysis, and adoption of text mining for fraud detection and risk management.

The text mining market size is expected to see exponential growth in the next few years. It will grow to $17.82 billion in 2029 at a compound annual growth rate (CAGR) of 20.3%. The growth in the forecast period can be attributed to increasing demand for efficient data extraction and analysis from unstructured text sources, expansion of industries, integration of text mining with other data analytics tools for comprehensive insights, increasing focus on customer experience management and personalization, growing awareness among enterprises, growth of big data analytics. Major trends in the forecast period include text classification, topic modeling, contextual understanding, multilingual text mining, and advancements in deep learning.

The upward trajectory of digitization is poised to be a significant driver propelling the growth of the text mining market in the foreseeable future. Digitization, characterized by the conversion of analog information into digital format, serves as a cornerstone for streamlining processes, enhancing connectivity, and facilitating efficient access to information across various sectors. The growing digitization trend plays a pivotal role in enabling efficient text mining endeavors by transforming analog data into machine-readable formats, thereby empowering advanced analysis and extraction of valuable insights from textual content. For instance, insights from the Central Digital and Data Office in November 2023 highlight a notable 19% expansion within the government's digital and data profession between April 2022 and April 2023, effectively meeting crucial demands for digital expertise. This underscores the pivotal role of digitization in propelling the growth trajectory of the text mining market.

Key players within the text mining market landscape are strategically focused on developing advanced solutions, notably advanced natural language processing (NLP), to gain a competitive edge in the market. Advanced NLP holds significant utility in text mining endeavors as it enhances text mining capabilities by enabling more accurate, efficient, and nuanced analysis of textual data. For instance, ONTOFORCE NV, a leading data science company based in Belgium, launched advanced Natural Language Processing (NLP) capabilities in May 2023 to unlock valuable insights from unstructured data sources in life sciences. This strategic initiative aligns with the increasing significance of NLP within the industry, where up to 80% of data is stored in unstructured formats, posing challenges for access and analysis. By leveraging advanced NLP capabilities, organizations can extract meaningful insights from unstructured textual data, thereby enhancing decision-making processes and driving innovation across diverse domains.

In December 2022, Babel Street Inc., a US-based provider of virtual data and intelligence solutions, acquired the text analytics platform Rosette from BasisTech LLC for an undisclosed sum. This strategic acquisition underscores Babel Street's dedication to delivering innovative solutions for identity intelligence and risk operations, tailored to the requirements of government and commercial institutions. BasisTech LLC, a US-based software development company, offers text mining capabilities as part of its text analytics platform.

Major companies operating in the text mining market are Microsoft Corporation, International Business Machines Corporation, SAP SE, Capgemini SE, SAS Institute, Confirmit, Basis Technology, Kingland Systems LLC, KNIME, Altair Engineering Inc., RapidMiner, Bitext, Mozenda, InMoment, Semantic Web Company GmbH, Wonderflow, PrediCX, NextWealth Entrepreneurs Private Limited, Angoss Software Corporation, Averbis GmbH, Netowl Inc., MeaningCloud, DeepOpinion, Funnel Science, SmatSocial

North America was the largest region in the text mining market in 2024. Asia Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the text mining market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the text mining market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The text mining market includes revenues earned by entities by providing services such as named entity recognition (NER), topic modeling, entity recognition, document summarization, and sentiment analysis. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Text Mining Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on text mining market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

Reasons to Purchase

Where is the largest and fastest growing market for text mining ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The text mining market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

The forecasts are made after considering the major factors currently impacting the market. These include the Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.

Scope

Table of Contents

1. Executive Summary

2. Text Mining Market Characteristics

3. Text Mining Market Trends And Strategies

4. Text Mining Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Covid And Recovery On The Market

5. Global Text Mining Growth Analysis And Strategic Analysis Framework

6. Text Mining Market Segmentation

7. Text Mining Market Regional And Country Analysis

8. Asia-Pacific Text Mining Market

9. China Text Mining Market

10. India Text Mining Market

11. Japan Text Mining Market

12. Australia Text Mining Market

13. Indonesia Text Mining Market

14. South Korea Text Mining Market

15. Western Europe Text Mining Market

16. UK Text Mining Market

17. Germany Text Mining Market

18. France Text Mining Market

19. Italy Text Mining Market

20. Spain Text Mining Market

21. Eastern Europe Text Mining Market

22. Russia Text Mining Market

23. North America Text Mining Market

24. USA Text Mining Market

25. Canada Text Mining Market

26. South America Text Mining Market

27. Brazil Text Mining Market

28. Middle East Text Mining Market

29. Africa Text Mining Market

30. Text Mining Market Competitive Landscape And Company Profiles

31. Text Mining Market Other Major And Innovative Companies

32. Global Text Mining Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Text Mining Market

34. Recent Developments In The Text Mining Market

35. Text Mining Market High Potential Countries, Segments and Strategies

36. Appendix

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