Key Takeaways
- London hosts 18,000 tech companies as of 2023
- 1,500 new tech startups founded in London in 2023
- Fintech firms number 2,100 in London, leading Europe
- Tech GDP contribution from London: £97 billion in 2023, 12% of city economy
- Tech sector GVA growth: 8.2% YoY in London 2023
- Exports by London tech firms: £45 billion in services 2023
- In 2023, the London tech sector employed 649,000 people, representing 7.5% of the city's total workforce
- Tech jobs in London grew by 12% between 2021 and 2023, outpacing the national average of 8%
- Women make up 24% of London's tech workforce, compared to 19% nationally in the UK
- London R&D tax credits claimed by tech firms totaled £1.2 billion in 2023
- Patents filed by London tech companies: 4,200 in 2023
- AI research papers from London institutions: 2,800 published in 2023
- London attracted $15.8 billion in tech venture capital in 2023, second only to San Francisco globally
- Early-stage funding deals in London tech totaled 850 in 2023
- Fintech investment in London reached $4.2 billion across 210 deals in 2023
London’s tech scene is booming, with 18,000 companies and booming AI, fintech, and investment growth.
Related reading
Companies and Startups
Companies and Startups Interpretation
More related reading
Economic Impact and Growth
Economic Impact and Growth Interpretation
More related reading
Employment and Workforce
Employment and Workforce Interpretation
More related reading
Innovation and R&D
Innovation and R&D Interpretation
More related reading
Investment and Funding
Investment and 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.
Kevin O'Brien. (2026, February 13). London Technology Industry Statistics. Gitnux. https://gitnux.org/london-technology-industry-statistics
Kevin O'Brien. "London Technology Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/london-technology-industry-statistics.
Kevin O'Brien. 2026. "London Technology Industry Statistics." Gitnux. https://gitnux.org/london-technology-industry-statistics.
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