Text Mining Market Report 2026

Text Mining Market Overview

• Text Mining market size has reached to $8.47 billion in 2025 • Expected to grow to $19.16 billion in 2030 at a compound annual growth rate (CAGR) of 17.1% • Growth Driver: Digitization Trends Fuels Growth In The Text Mining Market Expansion • Market Trend: Enhancing Text Mining Capabilities By Advanced Natural Language Processing • North America was the largest region in 2025 and Asia Pacific is the fastest growing region.

What Is Covered Under Text Mining Market?

Text mining refers to the process of extracting meaningful information and insights from unstructured text data. It involves techniques such as natural language processing (NLP), machine learning, and statistical analysis to uncover patterns, trends, and relationships within large volumes of textual information, enabling tasks such as sentiment analysis, document categorization, and information retrieval. The main product types of text mining are on-premise and cloud-based. On-premise text mining software is installed and operates on the organization's own computers or servers rather than on a remote facility or cloud service. The application includes data analysis and forecasting, fraud and spam detection, intelligence and law enforcement, customer relationship management (CRM), text mining for natural language processing (NLP), and text mining for sentiment analysis and is used by various end-users such as healthcare, retail, banking, financial services and insurance (BFSI), government, media and entertainment, and others.

What Is The Text Mining Market Growth Forecast?

The text mining market size is expected to see rapid growth in the next few years. It will grow to $19.16 billion in 2030 at a compound annual growth rate (CAGR) of 17.1%. The growth in the forecast period can be attributed to expansion of cloud-based text mining solutions, adoption in media and entertainment, integration with ai and ml platforms, increasing use in government and intelligence sectors, rising demand for real-time and scalable text mining capabilities. Major trends in the forecast period include integration with crm systems, enhanced sentiment analysis capabilities, advanced fraud and spam detection, real-time data analysis and forecasting, improved data security and privacy controls.

What Is The Driver Of The Text Mining Market?

The growing trend of digitization is expected to propel the growth of the text mining market going forward. Digitization refers to converting analog information into digital format, typically involving data representation as binary numbers for storage and processing on computers or other digital devices. The growing digitization trend is fueled by its ability to streamline processes, enhance connectivity, and enable efficient access to information in various sectors. Digitization facilitates efficient text mining by converting analog data into machine-readable formats, enabling advanced analysis and extracting valuable insights from textual content. For instance, in November 2023, according to the Central Digital and Data Office, a U.K.-based government body, between April 2022 and April 2023, the government's digital and data profession experienced a notable expansion of 19%, effectively meeting crucial demands for digital expertise. Therefore, the growing trend of digitization is driving the growth of the text mining industry.

Key Players In The Global Text Mining Market

Major companies operating in the text mining market report are Microsoft Corporation, International Business Machines Corporation, SAP SE, SAS Institute, Confirmit, Basis Technology, KNIME, RapidMiner, Bitext, InMoment, Semantic Web Company GmbH, Wonderflow, Averbis GmbH, MeaningCloud, DeepOpinion, Oracle Corporation, Google LLC Natural Language API, Amazon Web Services Comprehend, Lexalytics Inc., Clarabridge Inc., Amenity Analytics, MonkeyLearn, TextRazor, Provalis Research, Aylien Ltd.

Global Text Mining Market Trends and Insights

Major companies operating in the text mining market are focusing on developing advanced solutions, such as advanced natural language processing, to gain a competitive edge in the market. This advanced natural language processing is useful to text mining because it enhances text mining capabilities by enabling more accurate, efficient, and nuanced analysis of textual data. For instance, in May 2023, ONTOFORCE NV, a Belgium-based data science company, launched advanced Natural Language Processing (NLP) capabilities to unlock valuable insights from unstructured data sources in life sciences. This initiative aligns with the increasing importance of NLP in the industry, where up to 80% of data is stored in unstructured formats, making it challenging to access and analyze.

What Are Latest Mergers And Acquisitions In The Text Mining Market?

In January 2025, S&P Global Inc, a US-based provider of market intelligence and analytics solutions, acquired ProntoNLP Inc for an undisclosed amount. Through this acquisition, S&P Global aims to enhance its text mining and NLP capabilities by integrating ProntoNLP’s generative AI-powered tools for analyzing unstructured textual data, including event detection and sentiment scoring. ProntoNLP Inc is a US-based company that provides natural language processing and AI solutions to extract insights from large volumes of unstructured text.

What Defines the Text Mining Market?

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.

How is Market Value Defined and Measured?

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.

What Key Data and Analysis Are Included in the Text Mining Market Report 2026?

The text mining market research report is one of a series of new reports from The Business Research Company that provides market statistics, including Market Report 2026?global market size, regional shares, competitors with the market share, detailed market segments, market trends and opportunities, and any further data you may need to thrive in the text mining Market Report 2026? The market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future state of the Market Report 2026?