Key Takeaways
- Over 1,200 startups founded in Cambridge since 2010
- AstraZeneca Cambridge site employs 2,700, R&D spend £1.5bn annually
- ARM Holdings revenue £2.7 billion in 2022 from Cambridge HQ
- In 2022, the Cambridge tech cluster generated £6.9 billion in gross value added (GVA), accounting for 18% of the Greater Cambridge area's total GVA
- The Cambridge industrial sector contributed 12.5% to the local GDP in 2021, with manufacturing alone adding £2.1 billion
- Biotechnology firms in Cambridge exported £1.2 billion worth of products in 2023, representing 25% of East of England's life sciences exports
- PhD graduates from Cambridge Uni entering industry: 1,200 annually, 85% stay local
- Cambridge workforce 45% with higher education qualifications in tech sectors 2022
- STEM apprenticeships in Cambridge industry: 2,500 starts in 2023
- Cambridge employed 92,000 people in high-tech industries in 2023, a 7% increase from 2020
- Life sciences sector had 28,500 direct jobs in Cambridge, with 45% in R&D roles in 2022
- Software development jobs numbered 15,200 in Cambridge, average salary £65,000 in 2023
- Cambridge R&D spending reached £4.2 billion in 2022, 15% of UK total
- Patents filed by Cambridge firms totaled 1,850 in 2023, top in Europe for biotech
- University of Cambridge spin-outs raised £1.1 billion VC in 2022 for R&D
Cambridge’s tech cluster drives major growth, producing thousands of high value jobs, billions in output, and rapid innovation.
Related reading
Companies and Startups
Companies and Startups Interpretation
Economic Impact
Economic Impact Interpretation
More related reading
Education and Skills
Education and Skills Interpretation
Employment
Employment Interpretation
More related reading
R&D and Innovation
R&D and Innovation 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.
Samuel Norberg. (2026, February 13). Cambridge Industry Statistics. Gitnux. https://gitnux.org/cambridge-industry-statistics
Samuel Norberg. "Cambridge Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/cambridge-industry-statistics.
Samuel Norberg. 2026. "Cambridge Industry Statistics." Gitnux. https://gitnux.org/cambridge-industry-statistics.
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