Built to provide research that’s more actionable and strategically valuable, The Business Research Company’s 2026 market reports include market attractiveness analysis, total addressable market sizing, company benchmarking matrices, interactive Excel dashboards, broader supply chain intelligence, emerging startup tracking, and in-depth product insights.
#Text Mining Market Forecast: What Value Will The Market Reach By 2030?#_x000D_
The text mining market has experienced considerable expansion in recent years. It is anticipated to expand from $8.47 billion in 2025 to $10.19 billion in 2026, registering a compound annual growth rate (CAGR) of 20.3%. The growth observed in the past can be attributed to the increasing necessity for data-driven decision making, the incorporation of NLP technologies in enterprises, the escalating quantities of unstructured data, its initial utilization in the healthcare and BFSI sectors, and the early rollout of on-premise text mining solutions._x000D_
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The text mining market is projected to experience substantial expansion in the coming years, with its value forecast to reach $19.16 billion by 2030, growing at a compound annual growth rate (CAGR) of 17.1%. This expansion during the forecast period is driven by factors such as the proliferation of cloud-based text mining solutions, its increasing uptake in media and entertainment, its incorporation with AI and ML platforms, growing utilization in government and intelligence sectors, and the escalating need for real-time and scalable text mining functionalities. Key trends expected within this period encompass integration with CRM systems, advancements in sentiment analysis capabilities, sophisticated fraud and spam detection, real-time data analytics and prediction, and strengthened data security and privacy measures._x000D_
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#Text Mining Market Growth Catalysts And Demand Drivers#_x000D_
The ongoing rise in digitization is anticipated to stimulate the expansion of the text mining market in the future. This process involves transforming analog data into a digital format, commonly by representing information as binary numbers for efficient storage and processing across computers and other digital platforms. The increasing momentum of digitization is driven by its capacity to optimize workflows, improve interconnectedness, and facilitate quick access to data across diverse industries. It aids effective text mining by translating analog information into formats that machines can read, thereby allowing sophisticated analysis and the extraction of significant insights from text. As an illustration, in November 2023, the Central Digital and Data Office, a U.K.-based government body, reported that from April 2022 to April 2023, the digital and data profession within the government saw a significant 19% increase, successfully addressing critical needs for digital skills. Consequently, the expanding trend of digitization is propelling the development of the text mining market._x000D_
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#Text Mining Market Segments: Where Is Growth Concentrated?#_x000D_
The text mining market covered in this report is segmented – _x000D_
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1) By Component: Software, Services_x000D_
2) By Deployment: On-Premise, Cloud-Based_x000D_
3) By Application: Data Analysis And Forecasting, Fraud Or Spam Detection, Intelligence And Law Enforcement, Customer Relationship Management (CRM), Text Mining For Natural Language Processing (NLP), Text Mining For Sentiment Analysis_x000D_
4) By End-Use: Healthcare, Retail, Banking, Financial Services And Insurance (BFSI), Government, Media And Entertainment, Other End Users_x000D_
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Subsegments:_x000D_
1) By Software: Natural Language Processing (NLP) Software, Sentiment Analysis Software, Entity Recognition Software, Text Classification And Clustering Software, Topic Modeling Software_x000D_
2) By Services: Implementation And Integration Services, Data Preparation And Annotation Services, Custom Model Development Services, Training And Support Services, Consulting And Advisory Services_x000D_
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#Text Mining Market Trends Shaping Long-Term Demand#_x000D_
Companies operating within the text mining market are prioritizing the creation of sophisticated solutions, such as enhanced natural language processing, to secure a competitive edge. This advanced natural language processing proves beneficial for text mining as it boosts its capabilities, allowing for more precise, effective, and detailed examination of textual information. An illustration of this is ONTOFORCE NV, a Belgium-based data science company, which in May 2023, unveiled advanced Natural Language Processing (NLP) functionalities to extract valuable insights from unstructured data sources within the life sciences sector. This initiative highlights the increasing significance of NLP in the industry, where a substantial amount, specifically up to 80%, of data exists in unstructured forms, presenting challenges for access and analysis._x000D_
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#Text Mining Market Competitive Landscape: Which Companies Lead The Industry?#_x000D_
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. _x000D_
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#View The Full Text Mining Market Report:#_x000D_
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#Text Mining Market Regional Breakdown: Where Is Demand Concentrated?#_x000D_
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._x000D_
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Wasay has over a decade of experience in market research, data modelling, and analytics, with prior experience at GlobalData and Decision Tree Consulting Services. At The Business Research Company , he leads research operations across syndicated studies, customized consulting engagements, and the Global Market Model platform. His professional experience includes supporting organizations such as Boston Consulting Group, KPMG, and Ernst & Young. Wasay holds a degree in Electronics and Communications Engineering, postgraduate management qualifications from International Management Institute Belgium and Indian School of Business and Entrepreneurship, and completed the Integrated Program in Business Analytics from Indian Institute of Management Indore.