Key Takeaways
- 3.2 exabytes per day of new data were created worldwide in 2020
- 49.0% of respondents in 2024 reported adopting generative AI in at least one business unit
- 18.3 million terabytes of storage were sold worldwide in 2020
- $5.1 trillion in worldwide IT spending was forecast for 2024
- $157.0 billion worldwide cybersecurity and risk management spending was forecast for 2024
- 1.10 billion smartphones were shipped worldwide in 2022
- 3.9 million accounts were the median number of records compromised per breach (2022)
- $2.7 million average cost of an insider risk incident (2023 study)
- $1.6 billion was the estimated annual cost of data center energy use in the U.S. (IEA estimate, 2022)
- 261.1 million PCs were forecast to be shipped worldwide in 2024
- 63% of employees in organizations reported using collaboration tools like chat and file sharing at least weekly (2023)
- 81% of enterprises use some form of cloud services (2022)
- 1.4x improvement in developer productivity was achieved using automated testing (study, 2020)
- 99.95% is the target availability for many enterprise services described in the SRE playbook (SRE reference, 2016)
- 30% fewer bandwidth costs were reported by organizations using HTTP/2 compared with HTTP/1.1 (benchmark, 2017)
Data growth keeps accelerating while organizations expand generative AI adoption and invest heavily in cloud and security.
Related reading
Industry Trends
Industry Trends Interpretation
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Market Size
Market Size Interpretation
Cost Analysis
Cost Analysis Interpretation
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User Adoption
User Adoption Interpretation
Performance Metrics
Performance Metrics Interpretation
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Energy & Emissions
Energy & Emissions Interpretation
Security & Risk
Security & Risk Interpretation
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Cost & Productivity
Cost & Productivity Interpretation
How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
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.
David Kowalski. (2026, February 13). Computer Statistics. Gitnux. https://gitnux.org/computer-statistics
David Kowalski. "Computer Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/computer-statistics.
David Kowalski. 2026. "Computer Statistics." Gitnux. https://gitnux.org/computer-statistics.
References
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- 10gartner.com/en/newsroom/press-releases/2023-03-16-gartner-says-worldwide-enterprise-storage-market-will-total-64-6-billion-in-2023
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- 33cloud.google.com/blog/products/devops-reliability/what-devsecops-faster-secure-releases







