Key Takeaways
- 8.1% share of global cloud infrastructure services revenue held by Google Cloud in 2023
- $5.5 trillion in worldwide IT spending in 2025 (Gartner projection)
- 215 million paid subscribers for Netflix in Q1 2024 (total paid memberships)
- $32.1 billion operating cash flow for Meta in Q1 2024
- $36.1 billion in stock buybacks by Apple in FY2023
- $27.8 billion in buybacks by Microsoft in FY2023
- 1.51 billion monthly active users on YouTube (Google/Alphabet) as of 2023
- 73% of global web traffic routed through Chrome/Chromium-based browsers in 2024 (includes Chrome, Edge, Android browsers)
- 91.6% of the world’s mobile operating system market share held by Android in 2024
- 6.8% operating margin for Apple in fiscal Q1 2024
- 27% operating margin for Alphabet in 2023
- $125.3 billion global cloud security spending in 2024
- $232.6 billion global cloud spending in 2023
- $618.0 billion global public cloud services spending in 2023 (IDC)
- $19.6 billion in FTC’s 2024 consumer protection penalties involving Big Tech (total for the year)
Big Tech saw surging cloud and AI spending, record traffic and users, and intensifying regulation and antitrust scrutiny in 2023 to 2024.
Related reading
Market Size
Market Size Interpretation
Financial Performance
Financial Performance Interpretation
User Adoption
User Adoption Interpretation
Performance Metrics
Performance Metrics Interpretation
More related reading
Industry Trends
Industry Trends Interpretation
Cost Analysis
Cost Analysis Interpretation
Risk & Compliance
Risk & Compliance 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.
Henrik Dahl. (2026, February 13). Big Tech Industry Statistics. Gitnux. https://gitnux.org/big-tech-industry-statistics
Henrik Dahl. "Big Tech Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/big-tech-industry-statistics.
Henrik Dahl. 2026. "Big Tech Industry Statistics." Gitnux. https://gitnux.org/big-tech-industry-statistics.
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