Text Analysis Software Market Report 2026

The text analysis software market size has grown exponentially in recent years. It will grow from $5.82 billion in 2025 to $7.02 billion in 2026 at a compound annual growth rate (CAGR) of 20.6%. The growth in the historic period can be attributed to expansion of digital content generation, growing use of customer feedback analytics, increasing adoption of social media monitoring tools, rising availability of unstructured data, wider enterprise analytics adoption.

The text analysis software market size is expected to see rapid growth in the next few years. It will grow to $13.31 billion in 2030 at a compound annual growth rate (CAGR) of 17.3%. The growth in the forecast period can be attributed to increasing demand for predictive text analytics, rising adoption of AI-driven decision tools, expansion of real-time customer intelligence platforms, growing use of automated compliance monitoring, increasing integration with enterprise data lakes. Major trends in the forecast period include increasing adoption of nlp-based analytics platforms, rising use of sentiment analysis tools, growing integration with business intelligence systems, expansion of multilingual text processing capabilities, enhanced focus on real-time text insights.

The increasing adoption of social media platforms is expected to drive the growth of the text analysis software market in the coming years. Social media platforms are online services or websites that enable users to create and share content, engage in social networking, and communicate with others. This growing adoption is driven by cultural trends, mobile accessibility, information and news consumption, and brand promotion. Text analysis is extensively used on social media to extract valuable insights from user-generated content, enhance user experiences, and facilitate meaningful interactions between users and brands. For instance, in January 2024, a report by We Are Social Ltd, a UK-based company specializing in social media creativity and analytics, revealed that social media user identities increased by 5.6 percent over the past year, with 266 million new users joining for the first time throughout 2023. Therefore, the rise in social media adoption is contributing to the expansion of the text analysis software market.

Major companies in the text analysis software sector are increasingly developing advanced AI-enabled solutions to help organizations orchestrate AI workflows and generate information flows across multiple clouds and knowledge bases without transferring data. AI capabilities allow systems to perform tasks that typically require human intelligence, including learning, reasoning, problem-solving, and understanding natural language. For instance, in October 2023, Canada-based OpenText Corporation introduced Aviator within its Cloud Editions 23.4 platform. Leveraging machine learning and AI, Aviator analyzes and interprets text data at scale like a human, transforming how organizations extract insights from unstructured text. The platform offers features such as sentiment analysis, topic detection, semantic clustering, keyword grouping, aspect and feature classification, multilingual processing, sentiment trend monitoring, extraction of multi-word expressions, and generative AI-powered content summarization.

In February 2023, Quantexa, a UK-based data and analytics software company, acquired AYLIEN for an undisclosed sum. Through this acquisition, Quantexa aimed to expand and strengthen the capabilities of its Decision Intelligence Platform by incorporating AYLIEN’s advanced AI and natural language processing (NLP) technologies. AYLIEN, an Ireland-based company, offers text analysis software through its range of AI-driven natural language processing (NLP) and machine learning tools.

Major companies operating in the text analysis software market are Amazon.com Inc., Google LLC, Microsoft Corporation, International Business Machines Corporation (IBM Corporation), SAP SE, QSR International Inc, SAS Institute Inc., Ascribe GmbH, Expert System S.p.A., KNIME AG, RapidMiner Inc., Bitext Innovations S.L., Lexalytics Inc., AYLIEN Ltd., Luminoso Technologies Inc., Clarabridge Inc., Averbis GmbH, MonkeyLearn Inc., Sayint.AI, Provalis Research, MeaningCloud LLC, Smartlogic Holdings Limited, Megaputer Intelligence Inc., Stratifyd Inc., Angoss Software Corporation, Etuma Oy, indico data solutions Inc., Keatext Inc., NetOwl by BAE Systems.

North America was the largest region in the text analysis software market in 2025. The regions covered in the text analysis software market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the text analysis software market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

Tariffs are impacting the text analysis software market by increasing operational costs linked to imported cloud infrastructure hardware, servers, and advanced computing components supporting large-scale analytics platforms. Enterprises in North America and Europe are most affected due to reliance on global cloud infrastructure, while Asia-Pacific faces pricing pressure on analytics service exports. These tariffs are increasing subscription and deployment costs. However, they are also encouraging optimization of cloud workloads, regional data hosting, and development of lightweight and cost-efficient text analytics solutions.

The text analysis software market research report is one of a series of new reports that provides text analysis software market statistics, including text analysis software industry global market size, regional shares, competitors with a text analysis software market share, detailed text analysis software market segments, market trends and opportunities, and any further data you may need to thrive in the text analysis software industry. This text analysis software 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.

Text analysis software encompasses computer programs or tools specifically engineered to analyze, interpret, and extract valuable insights from textual data. Leveraging techniques derived from natural language processing (NLP), machine learning, and computational linguistics, these tools effectively process and comprehend text to unveil actionable information.

The primary categories of text analysis software include cloud-based and on-premise solutions. Cloud-based variants operate entirely online, conducting data processing and storage on remote servers accessible via the internet. Offering a myriad of functionalities such as text analytics, sentiment analysis, predictive analytics, social media monitoring, among others, cloud-based text analysis software finds application across diverse sectors including large enterprises, small and medium-sized enterprises (SMEs), and end-users such as banking, financial services, and insurance (BFSI), retail, healthcare, manufacturing, and more.

The text analysis software market consists of revenues earned by entities by providing services such as text analytics consulting, software deployment and integration, training and support, custom development and implementation, data processing and analysis, and managed services. The market value includes the value of related goods sold by the service provider or included within the service offering. The text analysis software market also includes sales of tokenizers, parsers, preprocessing modules, and analysis algorithms. Values in this market are ‘factory gate’ values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

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.

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