Text statistics reveal how language changes as AI moves from pilots to everyday use. The data spans tech spending and security momentum, from AI software investment and cyber services growth to cloud adoption. It also connects these shifts to people and systems, including education access and health indicators such as coronary heart disease, stroke, COPD, and disability.
Key Takeaways
- 1Global AI software spending is forecast to reach $199.6 billion in 2025
- 2Global cyber security services market is forecast to reach $248.8 billion in 2025
- 3US public cloud end-user spending is forecast to reach $292.1 billion in 2024
- 453% of supply chain leaders said generative AI will be adopted in their organizations within 12 months (2024 survey)
- 572% of marketers reported using AI tools in at least one workflow in 2024
- 658% of organizations reported adopting security automation to improve detection and response (2024 survey)
- 74.8% of public school districts reported using generative AI tools as of 2023
- 886% of executives expect generative AI will be integrated into their business within the next 2 years (2023 survey)
- 931% of organizations had adopted generative AI for some business function by 2023
- 109.8% of U.S. adults had coronary heart disease in 2021
- 118.0% of U.S. adults reported having high cholesterol in 2021
- 122.6% of U.S. adults reported having a stroke in 2021
AI and security spending are surging, with most executives expecting near term adoption.
Related reading
01Market Size
3- 1Global AI software spending is forecast to reach $199.6 billion in 2025
- 2Global cyber security services market is forecast to reach $248.8 billion in 2025
- 3US public cloud end-user spending is forecast to reach $292.1 billion in 2024
More related reading
02User Adoption
5- 153% of supply chain leaders said generative AI will be adopted in their organizations within 12 months (2024 survey)
- 272% of marketers reported using AI tools in at least one workflow in 2024
- 358% of organizations reported adopting security automation to improve detection and response (2024 survey)
- 413.5% of U.S. adults had an associate degree in 2023
- 548.2 million students were enrolled in U.S. public elementary and secondary schools in fall 2022
More related reading
03Industry Trends
11- 14.8% of public school districts reported using generative AI tools as of 2023
- 286% of executives expect generative AI will be integrated into their business within the next 2 years (2023 survey)
- 331% of organizations had adopted generative AI for some business function by 2023
- 414.8% of adults (aged 18+) in the United States reported having a disability in 2022
- 525.8% of U.S. adults (aged 18+) reported having arthritis in 2022
- 620.7% of U.S. adults (aged 18+) reported having chronic kidney disease in 2022
- 728.9% of U.S. adults (aged 18+) reported having asthma in 2022
- 86.5% of U.S. adults (aged 18+) reported having depression in 2022
- 96.2% of U.S. adults (aged 18+) reported current cigarette smoking in 2022
- 108.6% of U.S. adults (aged 18+) reported having diabetes in 2022
- 119.6% of U.S. adults (aged 18+) reported having high blood pressure in 2022
More related reading
04Health Prevalence
4- 19.8% of U.S. adults had coronary heart disease in 2021
- 28.0% of U.S. adults reported having high cholesterol in 2021
- 32.6% of U.S. adults reported having a stroke in 2021
- 43.7% of U.S. adults reported having chronic obstructive pulmonary disease (COPD) in 2021
More related reading
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
Magnus Öberg. (2026, September 21). Text Statistics. Statpit. https://statpit.com/text-statistics
MLA
Magnus Öberg. "Text Statistics." Statpit, 21 Sep 2026, https://statpit.com/text-statistics.
Chicago
Magnus Öberg. 2026. "Text Statistics." Statpit. https://statpit.com/text-statistics.
Sources and references
23 datasets cited across this report. Attribution is report-level.
16 additional datasets are cited and not shown individually.

