The text analytics market size has grown exponentially in recent years. It will grow from $12.68 billion in 2025 to $15.42 billion in 2026 at a compound annual growth rate (CAGR) of 21.6%. The growth in the historic period can be attributed to increasing volume of unstructured enterprise data, growth in digital content generation, rising adoption of data-driven decision making, expansion of social media analytics usage, increased use of text mining in research.
The text analytics market size is expected to see exponential growth in the next few years. It will grow to $33.56 billion in 2030 at a compound annual growth rate (CAGR) of 21.5%. The growth in the forecast period can be attributed to increasing integration of AI-driven analytics tools, rising demand for contextual and predictive insights, expansion of cloud-native analytics deployments, growing focus on automation in data analysis, increasing use of text analytics in regulatory monitoring. Major trends in the forecast period include increasing adoption of nlp-based analytics platforms, rising demand for real-time text insight extraction, growing use of sentiment and opinion mining tools, expansion of cloud-based text analytics solutions, enhanced focus on multilingual text processing.
The growing demand for social media analytics is expected to drive the growth of the text analytics market going forward. Social media analytics involves collecting data from social media platforms and blogs and analyzing it to inform business decisions. The rising demand is fueled by organizations’ need for data-driven insights to understand audience behavior, measure campaign effectiveness, and optimize strategies. Text analytics supports social media analytics by extracting meaningful insights from unstructured text, such as posts, comments, and reviews, allowing businesses to effectively assess sentiment, trends, and customer behavior. For example, in November 2024, according to the Office of Communications, a UK-based regulatory and competition authority, WhatsApp remained the leading messaging platform in the UK, reaching 87% of online adults in May. Additionally, 64% of UK online adults used WhatsApp daily during the same period, up from 58% in May 2023. Therefore, the growing adoption of social media analytics is contributing to the expansion of the text analytics market.
Major companies in the text analytics market are focusing on developing innovative tools, such as artificial intelligence-powered solutions, to extract insights, analyze sentiment, and identify trends from unstructured text. AI-powered tools use machine learning and advanced algorithms to analyze data, recognize patterns, and generate intelligent predictions or decisions automatically. For instance, in September 2024, Explori Media Ltd., a UK-based event measurement company, launched an AI-powered text analysis tool called verbatim. This tool automates the coding of open-ended feedback and enables benchmarking against industry standards, significantly improving data analysis efficiency for event organizers. This innovation allows users to make informed, data-driven decisions quickly, enhancing event outcomes and optimizing resource allocation.
In December 2024, S&P Global Inc., a US-based financial services company, acquired ProntoNLP for an undisclosed amount. Through this acquisition, S&P Global aims to expand its generative AI-powered product portfolio and strengthen its textual data analytics capabilities. ProntoNLP Inc. is a US-based company specializing in text analytics services.
Major companies operating in the text analytics market are IBM; Microsoft; SAP SE; SAS Institute Inc.; Lexalytics Inc.; Luminoso Technologies Inc.; Clarabridge Inc.; OpenText Corporation; Infegy Inc.; Medallia Inc.; Megaputer Intelligence Inc.; Oracle Corporation; Bitext Innovations SL; Basis Technology Corporation; MeaningCloud LLC; Averbis GmbH; Capgemini SE; NICE Ltd.; Verint Systems Inc.; Amazon Web Services Inc.; Expert System S.p.A.; Aylien Ltd.; Provalis Research; Linguamatics Ltd.
North America was the largest region in the text analytics market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the text analytics 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 analytics market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
Tariffs are influencing the text analytics market by increasing costs related to imported IT infrastructure, servers, networking hardware, and specialized processing equipment supporting analytics platforms. Enterprises in North America and Europe are most affected due to dependence on imported computing hardware, while Asia-Pacific faces cost pressure on cloud infrastructure investments. These tariffs are increasing deployment costs and delaying large-scale analytics rollouts. At the same time, they are encouraging regional data center development, local software innovation, and increased adoption of cloud-based and subscription-driven analytics models.
The text analytics market research report is one of a series of new reports that provides text analytics market statistics, including text analytics industry global market size, regional shares, competitors with a text analytics market share, detailed text analytics market segments, market trends and opportunities, and any further data you may need to thrive in the text analytics industry. This text analytics 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 analytics refers to software or tools designed to automatically convert extensive amounts of unstructured text into quantitative data, enabling the identification of insights, trends, and patterns. This technology empowers businesses, governments, researchers, and the media to harness vast content for informed decision-making.
The main types of text analytics include software and services. The text analytics software segment involves the sale of tools that assist users in extracting insights from both structured and unstructured text data through natural language processing. Examples of insights derived include sentiment analysis, key phrases, language, themes and patterns, entities, and more. This software can be deployed on-premise or in the cloud and is applicable to both large enterprises and SMEs. Text analytics solutions find applications across various industries such as BFSI, healthcare, energy and utilities, retail, e-commerce, and others. These solutions are employed for purposes like risk management, fraud detection, business intelligence, social media analysis, and customer care services.
The text analytics market includes revenues earned by entities by providing solutions that understand, analyze, and derive insights from unstructured text into quantitative data by utilizing sentiment analysis, topic modeling, named entity recognition, term frequency, and event extraction techniques. 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.
The text analytics market size is expected to see exponential growth in the next few years. It will grow to $33.56 billion in 2030 at a compound annual growth rate (CAGR) of 21.5%. The growth in the forecast period can be attributed to increasing integration of AI-driven analytics tools, rising demand for contextual and predictive insights, expansion of cloud-native analytics deployments, growing focus on automation in data analysis, increasing use of text analytics in regulatory monitoring. Major trends in the forecast period include increasing adoption of nlp-based analytics platforms, rising demand for real-time text insight extraction, growing use of sentiment and opinion mining tools, expansion of cloud-based text analytics solutions, enhanced focus on multilingual text processing.
The growing demand for social media analytics is expected to drive the growth of the text analytics market going forward. Social media analytics involves collecting data from social media platforms and blogs and analyzing it to inform business decisions. The rising demand is fueled by organizations’ need for data-driven insights to understand audience behavior, measure campaign effectiveness, and optimize strategies. Text analytics supports social media analytics by extracting meaningful insights from unstructured text, such as posts, comments, and reviews, allowing businesses to effectively assess sentiment, trends, and customer behavior. For example, in November 2024, according to the Office of Communications, a UK-based regulatory and competition authority, WhatsApp remained the leading messaging platform in the UK, reaching 87% of online adults in May. Additionally, 64% of UK online adults used WhatsApp daily during the same period, up from 58% in May 2023. Therefore, the growing adoption of social media analytics is contributing to the expansion of the text analytics market.
Major companies in the text analytics market are focusing on developing innovative tools, such as artificial intelligence-powered solutions, to extract insights, analyze sentiment, and identify trends from unstructured text. AI-powered tools use machine learning and advanced algorithms to analyze data, recognize patterns, and generate intelligent predictions or decisions automatically. For instance, in September 2024, Explori Media Ltd., a UK-based event measurement company, launched an AI-powered text analysis tool called verbatim. This tool automates the coding of open-ended feedback and enables benchmarking against industry standards, significantly improving data analysis efficiency for event organizers. This innovation allows users to make informed, data-driven decisions quickly, enhancing event outcomes and optimizing resource allocation.
In December 2024, S&P Global Inc., a US-based financial services company, acquired ProntoNLP for an undisclosed amount. Through this acquisition, S&P Global aims to expand its generative AI-powered product portfolio and strengthen its textual data analytics capabilities. ProntoNLP Inc. is a US-based company specializing in text analytics services.
Major companies operating in the text analytics market are IBM; Microsoft; SAP SE; SAS Institute Inc.; Lexalytics Inc.; Luminoso Technologies Inc.; Clarabridge Inc.; OpenText Corporation; Infegy Inc.; Medallia Inc.; Megaputer Intelligence Inc.; Oracle Corporation; Bitext Innovations SL; Basis Technology Corporation; MeaningCloud LLC; Averbis GmbH; Capgemini SE; NICE Ltd.; Verint Systems Inc.; Amazon Web Services Inc.; Expert System S.p.A.; Aylien Ltd.; Provalis Research; Linguamatics Ltd.
North America was the largest region in the text analytics market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the text analytics 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 analytics market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
Tariffs are influencing the text analytics market by increasing costs related to imported IT infrastructure, servers, networking hardware, and specialized processing equipment supporting analytics platforms. Enterprises in North America and Europe are most affected due to dependence on imported computing hardware, while Asia-Pacific faces cost pressure on cloud infrastructure investments. These tariffs are increasing deployment costs and delaying large-scale analytics rollouts. At the same time, they are encouraging regional data center development, local software innovation, and increased adoption of cloud-based and subscription-driven analytics models.
The text analytics market research report is one of a series of new reports that provides text analytics market statistics, including text analytics industry global market size, regional shares, competitors with a text analytics market share, detailed text analytics market segments, market trends and opportunities, and any further data you may need to thrive in the text analytics industry. This text analytics 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 analytics refers to software or tools designed to automatically convert extensive amounts of unstructured text into quantitative data, enabling the identification of insights, trends, and patterns. This technology empowers businesses, governments, researchers, and the media to harness vast content for informed decision-making.
The main types of text analytics include software and services. The text analytics software segment involves the sale of tools that assist users in extracting insights from both structured and unstructured text data through natural language processing. Examples of insights derived include sentiment analysis, key phrases, language, themes and patterns, entities, and more. This software can be deployed on-premise or in the cloud and is applicable to both large enterprises and SMEs. Text analytics solutions find applications across various industries such as BFSI, healthcare, energy and utilities, retail, e-commerce, and others. These solutions are employed for purposes like risk management, fraud detection, business intelligence, social media analysis, and customer care services.
The text analytics market includes revenues earned by entities by providing solutions that understand, analyze, and derive insights from unstructured text into quantitative data by utilizing sentiment analysis, topic modeling, named entity recognition, term frequency, and event extraction techniques. 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.
Table of Contents
1. Executive Summary
2. Text Analytics Market Characteristics
3. Text Analytics Market Supply Chain Analysis
4. Global Text Analytics Market Trends and Strategies
5. Text Analytics Market Analysis of End Use Industries
7. Global Text Analytics Strategic Analysis Framework, Current Market Size, Market Comparisons and Growth Rate Analysis
8. Global Text Analytics Total Addressable Market (TAM) Analysis for the Market
9. Text Analytics Market Segmentation
10. Text Analytics Market, Industry Metrics by Country
11. Text Analytics Market Regional and Country Analysis
12. Asia-Pacific Text Analytics Market
13. China Text Analytics Market
14. India Text Analytics Market
15. Japan Text Analytics Market
16. Australia Text Analytics Market
17. Indonesia Text Analytics Market
18. South Korea Text Analytics Market
19. Taiwan Text Analytics Market
20. South East Asia Text Analytics Market
21. Western Europe Text Analytics Market
22. UK Text Analytics Market
23. Germany Text Analytics Market
24. France Text Analytics Market
25. Italy Text Analytics Market
26. Spain Text Analytics Market
27. Eastern Europe Text Analytics Market
28. Russia Text Analytics Market
29. North America Text Analytics Market
30. USA Text Analytics Market
31. Canada Text Analytics Market
32. South America Text Analytics Market
33. Brazil Text Analytics Market
34. Middle East Text Analytics Market
35. Africa Text Analytics Market
37. Text Analytics Market Competitive Landscape and Company Profiles
38. Text Analytics Market Other Major and Innovative Companies
41. Text Analytics Market High Potential Countries, Segments and Strategies
42. Appendix
Executive Summary
Text Analytics Market Global Report 2026 provides strategists, marketers and senior management with the critical information they need to assess the market.This report focuses text analytics 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:
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- Identify growth segments for investment.
- Outperform competitors using forecast data and the drivers and trends shaping the market.
- Understand customers based on end user analysis.
- Benchmark performance against key competitors based on market share, innovation, and brand strength.
- Evaluate the total addressable market (TAM) and market attractiveness scoring to measure market potential.
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- All data from the report will also be delivered in an excel dashboard format.
Description
Where is the largest and fastest growing market for text analytics? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The text analytics market global report answers all these questions and many more.The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.
- The market characteristics section of the report defines and explains the market. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
- The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
- The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
- The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
- The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
- The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
- The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
- The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
- Market segmentations break down the market into sub markets.
- The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
- Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
- The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
- The company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.
Report Scope
Markets Covered:
1) By Component: Software; Services2) By Deployment: On-Premise; Cloud
3) By Enterprise Size: Large Enterprises; Small And medium Enterprises (SMEs)
Subsegments:
1) By Software: Text Analytics Platforms; Natural Language Processing (NLP) Tools; Sentiment Analysis Software; Data Mining Software; Visualization Tools2) By Services: Consulting Services; Integration Services; Support And Maintenance Services; Training And Education Services
Companies Mentioned: IBM; Microsoft; SAP SE; SAS Institute Inc.; Lexalytics Inc.; Luminoso Technologies Inc.; Clarabridge Inc.; OpenText Corporation; Infegy Inc.; Medallia Inc.; Megaputer Intelligence Inc.; Oracle Corporation; Bitext Innovations SL; Basis Technology Corporation; MeaningCloud LLC; Averbis GmbH; Capgemini SE; NICE Ltd.; Verint Systems Inc.; Amazon Web Services Inc.; Expert System S.p.A.; Aylien Ltd.; Provalis Research; Linguamatics Ltd.
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain
Regions: Asia-Pacific; South East Asia; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time Series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita.
Data Segmentation: Country and regional historic and forecast data, market share of competitors, market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Delivery Format: Word, PDF or Interactive Report + Excel Dashboard
Added Benefits:
- Bi-Annual Data Update
- Customisation
- Expert Consultant Support
Companies Mentioned
The companies featured in this Text Analytics market report include:- IBM
- Microsoft
- SAP SE
- SAS Institute Inc.
- Lexalytics Inc.
- Luminoso Technologies Inc.
- Clarabridge Inc.
- OpenText Corporation
- Infegy Inc.
- Medallia Inc.
- Megaputer Intelligence Inc.
- Oracle Corporation
- Bitext Innovations SL
- Basis Technology Corporation
- MeaningCloud LLC
- Averbis GmbH
- Capgemini SE
- NICE Ltd.
- Verint Systems Inc.
- Amazon Web Services Inc.
- Expert System S.p.A.
- Aylien Ltd.
- Provalis Research
- Linguamatics Ltd.
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 250 |
| Published | February 2026 |
| Forecast Period | 2026 - 2030 |
| Estimated Market Value ( USD | $ 15.42 Billion |
| Forecasted Market Value ( USD | $ 33.56 Billion |
| Compound Annual Growth Rate | 21.5% |
| Regions Covered | Global |
| No. of Companies Mentioned | 25 |
