Text statistics span work, commerce, and public life as connected users generate more text via smartphones and social platforms. Marketers, analysts, and risk teams use AI and NLP to mine sentiment, categorize content, and track performance across channels. You’ll see how forecast market growth, enterprise adoption, and daily browsing behavior shape what gets analyzed and why it matters.
Key Takeaways
- 1The global NLP software market is forecast to reach $36.3B by 2030, indicating expanding tooling for text understanding and analysis.
- 2The global sentiment analysis market is forecast to reach $17.9B by 2030, driven by text-based opinion mining.
- 3The global text analytics market is forecast to reach $34.7B by 2030, supporting large-scale text statistics and categorization.
- 4In 2024, 15% of breaches are detected by automated tools, affecting how text alerts and logs are processed.
- 559% of the global population were internet users in 2024 (expanding the pool of text that can be collected and analyzed)
- 690% of enterprises reported using some form of AI in 2023 (with text analytics and NLP commonly included), indicating adoption of text statistics capabilities in workflows.
- 7In 2024, 79% of US adults owned a smartphone, increasing demand for concise, mobile-friendly text experiences.
- 8In 2024, 61% of US adults get news at least sometimes from social media, increasing exposure to short-form text and captions.
- 9In 2023, 77% of US adults used the internet at least occasionally, which expands the audience for text consumption and measurement.
- 10The US Bureau of Labor Statistics reports that the Employment Cost Index rose 1.1% for total compensation in Q1 2024 (context for staffing costs supporting text operations).
Rapid AI and internet growth are driving text analytics adoption and investment, shaping how we measure and act on online content.
Related reading
01Market Size
7- 1The global NLP software market is forecast to reach $36.3B by 2030, indicating expanding tooling for text understanding and analysis.
- 2The global sentiment analysis market is forecast to reach $17.9B by 2030, driven by text-based opinion mining.
- 3The global text analytics market is forecast to reach $34.7B by 2030, supporting large-scale text statistics and categorization.
- 4$1.6B annual spend on text-related SEO efforts globally is projected in 2025 (brand + non-brand search combined), reflecting continued investment in text-heavy acquisition channels.
- 5$6.8B was the global market size for machine translation in 2024, reflecting demand for automated translation of text.
- 61.8 million academic articles were added to PubMed in 2023, expanding research text available for NLP-driven literature mining
- 728% of organizations report that they have implemented governance controls for AI outputs used in production workflows (relevant for text generation/classification use)
More related reading
02Industry Trends
5- 1In 2024, 15% of breaches are detected by automated tools, affecting how text alerts and logs are processed.
- 259% of the global population were internet users in 2024 (expanding the pool of text that can be collected and analyzed)
- 390% of enterprises reported using some form of AI in 2023 (with text analytics and NLP commonly included), indicating adoption of text statistics capabilities in workflows.
- 474% of marketers say AI helps them create content faster, affecting text generation and downstream text analytics metrics.
- 5On average, documents indexed by Google contain billions of unique pages, making large-scale text stats essential for retrieval; Google reports 100+ billion pages per index (public statement).
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03User Adoption
6- 1In 2024, 79% of US adults owned a smartphone, increasing demand for concise, mobile-friendly text experiences.
- 2In 2024, 61% of US adults get news at least sometimes from social media, increasing exposure to short-form text and captions.
- 3In 2023, 77% of US adults used the internet at least occasionally, which expands the audience for text consumption and measurement.
- 448% of knowledge workers report using generative AI tools at work at least once per week
- 531% of organizations report using automated document processing to extract data from unstructured text (e.g., forms, emails, PDFs)
- 633% of developers say they use NLP or text processing libraries at least monthly (based on a developer survey)
More related reading
04Cost Analysis
1- 1The US Bureau of Labor Statistics reports that the Employment Cost Index rose 1.1% for total compensation in Q1 2024 (context for staffing costs supporting text operations).
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Cite this report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
APA
Niamh Winslow. (2026, September 21). Text Statistics. Gaugius. https://gaugius.com/text-statistics
MLA
Niamh Winslow. "Text Statistics." Gaugius, 21 Sep 2026, https://gaugius.com/text-statistics.
Chicago
Niamh Winslow. 2026. "Text Statistics." Gaugius. https://gaugius.com/text-statistics.
Sources and references
19 datasets cited across this report. Attribution is report-level.
marketsandmarkets.com
impactplus.com
grandviewresearch.com
ibm.com
datareportal.com
pewresearch.org
bls.gov
pubmed.ncbi.nlm.nih.gov
gartner.com
nist.gov
semrush.com
about.google
microsoft.com
trustradius.com
survey.stackoverflow.co4 additional datasets are cited and not shown individually.