Text Mining Market Report 2026

The text mining market size has grown exponentially in recent years. It will grow from $8.47 billion in 2025 to $10.19 billion in 2026 at a compound annual growth rate (CAGR) of 20.3%. The growth in the historic period can be attributed to growing need for data-driven decision making, adoption of nlp technologies in enterprises, increasing volumes of unstructured data, early use in healthcare and bfsi sectors, initial deployment of on-premise text mining solutions.

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.

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 January 2025, S&P Global Inc., a U.S.-based provider of market intelligence and analytics solutions, acquired ProntoNLP Inc. for an undisclosed amount. Through this acquisition, S&P Global aims to strengthen its text mining and natural language processing (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 U.S.-based company that provides natural language processing and AI solutions to extract insights from large volumes of unstructured text.

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.

North America was the largest region in the text mining market in 2025. Asia Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the text mining market are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the text mining market are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, 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.

This product will be delivered within 1-3 business days.