Key Takeaways
- NYC tech economic output: $120B GDP contribution 2023
- Tech multiplier effect NYC economy: $2.50 per $1 tech spend 2023
- NYC tech exports: $15B in software/services 2023
- NYC patents filed by tech firms: 4,200 in 2022
- AI patents from NYC institutions: 1,100 granted 2023
- NYC R&D spend by tech: $18B in 2023
- NYC startups: 12,500 active in 2023
- NYC unicorns: 85 as of 2023, valuation $450B total
- New startups founded in NYC: 2,800 in 2023
- NYC tech sector raised $28.5 billion in VC in 2022
- Q1 2023 NYC VC deals: 210, total $4.2B invested
- Fintech funding in NYC: $8.7B in 2022, 25% of US total
- In 2023, New York City had 425,000 tech jobs, representing 10% of the city's total employment
- The average tech salary in NYC was $153,000 in 2023, 85% higher than the city average
- NYC tech workforce grew by 4.2% year-over-year in 2023, adding 17,000 jobs
NYC tech drove $120B in 2023 economic output and fueled jobs, exports, and $8.5B tax revenue.
Economic Impact and Growth
Economic Impact and Growth Interpretation
Innovation and Technology Adoption
Innovation and Technology Adoption Interpretation
Startups and Companies
Startups and Companies Interpretation
Venture Capital and Funding
Venture Capital and Funding Interpretation
Workforce and Employment
Workforce and Employment 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 Sutherland. (2026, February 13). New York Tech Industry Statistics. Gitnux. https://gitnux.org/new-york-tech-industry-statistics
David Sutherland. "New York Tech Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/new-york-tech-industry-statistics.
David Sutherland. 2026. "New York Tech Industry Statistics." Gitnux. https://gitnux.org/new-york-tech-industry-statistics.
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