Key Takeaways
- Labour shortages cited by 62% of businesses as top challenge in 2023
- Energy costs rose 45% on average, squeezing margins
- 1,200 pub closures recorded in 2023 due to viability issues
- 68% of UK consumers dined out monthly in 2023, up from 55% in 2022
- 42% preferred pubs for socialising, highest category
- Average spend per restaurant visit was £28.50, up 10%
- In 2023, the UK hospitality sector employed 3.8 million people, representing 11% of total UK employment
- The hospitality industry saw a 2.5% increase in employment from 2022 to 2023, adding 92,000 jobs
- London hosts 28% of all hospitality jobs in the UK, with over 1 million positions
- The UK hospitality market size was valued at £120 billion in 2023
- Sector GVA contribution stood at £57.2 billion, 2.6% of UK economy
- Number of hospitality businesses totalled 215,000 in 2023, up 3%
- The UK hospitality sector generated £93.4 billion in turnover in 2023, up 12% from 2022
- Pubs contributed £27.5 billion to hospitality revenue in 2023
- Restaurants achieved £32.1 billion in sales, a 9% growth YoY
Rising costs, labour shortages and cyber threats are squeezing UK hospitality, but demand and growth remain resilient.
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Challenges and Future Outlook
Challenges and Future Outlook Interpretation
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Consumer Trends and Behavior
Consumer Trends and Behavior Interpretation
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Employment and Workforce
Employment and Workforce Interpretation
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Market Size and Growth
Market Size and Growth Interpretation
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Revenue and Financial Performance
Revenue and Financial Performance 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.
Timothy Grant. (2026, February 13). Uk Hospitality Industry Statistics. Gitnux. https://gitnux.org/uk-hospitality-industry-statistics
Timothy Grant. "Uk Hospitality Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/uk-hospitality-industry-statistics.
Timothy Grant. 2026. "Uk Hospitality Industry Statistics." Gitnux. https://gitnux.org/uk-hospitality-industry-statistics.
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ukhospitality.org.uk
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visitlondon.com
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hospitalityinsights.ehl.edu
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recruitmentandemploymentconfederation.org.uk
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instituteforapprenticeships.org.uk
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