Key Takeaways
- In 2023, the US tech industry employed 9.9 million workers across all 50 states, accounting for 6.8% of total US private sector employment
- Tech occupations grew by 318,600 jobs in 2023, representing 67% of all new US jobs created that year
- Software developers in the US earned a median annual wage of $132,270 in 2023, 2.3 times the national median
- The US tech sector generated $1.8 trillion in GDP in 2023, 10% of national total
- Tech exports from US reached $550 billion in 2023, led by software and hardware
- Average revenue per US tech employee was $350,000 in 2023, highest among sectors
- US VC investment in tech totaled $170 billion in 2023, down 30% from 2022 peak
- AI startups received $50 billion in US VC funding in 2023, 30% of total tech VC
- Seed stage tech deals in US: 5,200 in 2023, average $2.8 million per deal
- US tech firms filed 350,000 patents in 2023, 45% of global total
- AI patent grants in US: 15,000 in 2023, machine learning 60%
- R&D spending by US tech companies: $500 billion in 2023, 20% of global
- Apple market cap reached $3.1 trillion in 2023, leading US tech firms
- Amazon revenue $574 billion in 2023, AWS contributing 16%
- Microsoft Azure cloud share 22% in US market 2023
The US tech industry created two-thirds of new jobs in 2023 while growing significantly in key sectors.
Employment and Workforce
Employment and Workforce Interpretation
Innovation and R&D
Innovation and R&D Interpretation
Market Leaders and Companies
Market Leaders and Companies Interpretation
Revenue and Economic Impact
Revenue and Economic Impact Interpretation
Venture Capital and Investments
Venture Capital and Investments 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.
Lukas Bauer. (2026, February 13). Us Tech Industry Statistics. Gitnux. https://gitnux.org/us-tech-industry-statistics
Lukas Bauer. "Us Tech Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/us-tech-industry-statistics.
Lukas Bauer. 2026. "Us Tech Industry Statistics." Gitnux. https://gitnux.org/us-tech-industry-statistics.
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