Key Takeaways
- Texas has 2,150 tech companies founded in 2023, raising $12.5B total
- Austin hosts 1,200 tech startups, with 450 new incorporations in 2023
- Texas tech unicorns number 15 as of 2024, including A Cloud Guru and TopGolf
- Texas tech GDP contribution: $285B in 2023, 13.5% of state GDP
- Tech exports from Texas: $142B in 2023, 25% of total state exports
- Texas tech multiplier effect: $1.8 economic impact per $1 invested
- In 2023, Texas tech employment reached 1,456,000 jobs, representing 12.4% of the state's total employment
- Texas tech sector added 78,900 new jobs in 2022, a 5.7% growth rate surpassing the national average of 4.2%
- Austin's tech workforce grew by 9.2% year-over-year in 2023, totaling 220,000 employees in software and IT services
- Patent filings in Texas tech sectors reached 45,200 in 2023, up 8% YoY
- Austin filed 12,500 tech patents in 2023, focusing on semiconductors
- Texas R&D spending by tech firms: $28B in 2023, 6th nationally
- Texas VC funding hit $25.4B in 2023, 2nd highest after California
- Austin VC deals: 620 in 2023, $8.2B invested
- Early-stage VC in Texas: $7.1B across 450 deals in 2023
Texas tech surged in 2023 with 2,150 new companies, $25.4B in VC, and major job growth across metros.
Company Growth
Company Growth Interpretation
Economic Contribution
Economic Contribution Interpretation
Employment Statistics
Employment Statistics Interpretation
Innovation Metrics
Innovation Metrics Interpretation
Venture Capital
Venture Capital 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 Kowalski. (2026, February 13). Texas Tech Industry Statistics. Gitnux. https://gitnux.org/texas-tech-industry-statistics
David Kowalski. "Texas Tech Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/texas-tech-industry-statistics.
David Kowalski. 2026. "Texas Tech Industry Statistics." Gitnux. https://gitnux.org/texas-tech-industry-statistics.
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