Key Takeaways
- NYC hosts over 1,200 tech startups founded since 2020
- There are 450 venture-backed tech companies in NYC with $50B+ total funding
- NYC fintech startups number 350, leading US outside SF
- NYC tech sector GDP contribution: $140B in 2022, 10% of city GDP
- Tech exports from NYC: $25B in goods/services 2022
- NYC tech multiplier effect: every tech job creates 2.5 others
- New York City's technology sector employed 358,000 workers in 2022, representing a 5% increase from 2021
- The average salary for tech workers in New York City was $153,000 in 2023, 40% higher than the citywide average
- Women make up 28% of the tech workforce in NYC, up from 25% in 2019
- NYC filed 15,200 tech patents in 2022, 3rd highest US metro
- NYC universities produced 2,500 tech-related patents 2018-2022
- AI patent applications from NYC firms: 1,800 in 2023
- NYC venture funding reached $28.6B in 2021, 2nd highest in US
- Q1 2024 NYC tech funding: $2.1B across 120 deals
- Fintech funding in NYC: $4.5B in 2023
NYC’s booming tech ecosystem tops $140B GDP impact in 2022, powering 358,000 jobs and record startup funding.
Related reading
Companies and Startups
Companies and Startups Interpretation
Economic Impact
Economic Impact Interpretation
Employment and Jobs
Employment and Jobs Interpretation
More related reading
Innovation and R&D
Innovation and R&D Interpretation
Venture Funding
Venture Funding 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.
Megan Gallagher. (2026, February 13). New York Technology Industry Statistics. Gitnux. https://gitnux.org/new-york-technology-industry-statistics
Megan Gallagher. "New York Technology Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/new-york-technology-industry-statistics.
Megan Gallagher. 2026. "New York Technology Industry Statistics." Gitnux. https://gitnux.org/new-york-technology-industry-statistics.
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