Key Takeaways
- Global AI software market reached $64 billion in 2023, growing 20% YoY.
- Generative AI investments hit $25.2 billion in 2023.
- Machine learning models trained daily exceeded 10 million in 2023 cloud platforms.
- Global cybersecurity market reached $172 billion in 2023, up 13% YoY.
- Ransomware attacks increased 20% to 2,300 incidents per day in 2023.
- Data breaches exposed 8.9 billion records worldwide in 2023.
- Global semiconductor sales reached $574 billion in 2023, up 9.3% from 2022, driven by demand for AI chips.
- Worldwide PC shipments totaled 241.5 million units in 2023, a 14.8% decline from 2022 due to inventory corrections.
- Apple's iPhone accounted for 20.1% of global smartphone market share in Q4 2023.
- Global internet users reached 5.44 billion in January 2024, 67.5% penetration rate.
- Average global fixed broadband speed was 99 Mbps in Q4 2023.
- 5G connections worldwide hit 1.76 billion by end of 2023.
- Global SaaS market revenue reached $232 billion in 2023, growing 18% YoY.
- Microsoft Office 365 had 345 million paid seats worldwide in Q1 2024.
- Open-source software usage in enterprises hit 90% adoption rate in 2023.
AI and cybersecurity spending soared in 2023, while ChatGPT usage and data traffic hit record highs.
Artificial Intelligence and Data
Artificial Intelligence and Data Interpretation
Cybersecurity and Privacy
Cybersecurity and Privacy Interpretation
Hardware and Devices
Hardware and Devices Interpretation
Internet and Networking
Internet and Networking Interpretation
Software and Applications
Software and Applications 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.
Leah Kessler. (2026, February 13). Technology Statistics. Gitnux. https://gitnux.org/technology-statistics
Leah Kessler. "Technology Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/technology-statistics.
Leah Kessler. 2026. "Technology Statistics." Gitnux. https://gitnux.org/technology-statistics.
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