Key Takeaways
- $2.6 trillion global travel and tourism total contribution to employment in 2023 (direct + indirect + induced), per WTTC
- U.S. hotels and motels had $20.0 billion in employer establishment payroll in 2023 (NAICS 721), per U.S. Census Bureau annual services statistics
- Global OTAs accounted for about 36% of online hotel bookings in 2023, per Amadeus Travel Trend Report 2024
- Average U.S. hotel property operating margin was about 15% in 2023, per STR/CBRE lodging performance analysis
- In 2023, average hotel utilities (electricity, gas) energy expenditures were about $1.30 per available room night in the U.S., per U.S. DOE/ EIA commercial energy expenditure estimates for lodging
- In 2024, the U.S. minimum wage level for tipped workers is $2.13/hour (federal minimum for tips), per U.S. Department of Labor
- 65% of travelers used mobile to research travel in 2023, per Google Travel research (Think with Google)
- In 2024, 46% of travelers said they use online reviews to decide where to stay at least sometimes, per Tripadvisor/industry survey
- Hotel guests’ average length of stay in the U.S. was 2.3 nights in 2023, per STR/CoStar analysis published by CBRE
- Global hotel investment volume was $79.0 billion in 2023, per JLL Hotels & Hospitality report
- U.S. hotel transactions totaled 1.6 million room nights booked via OTAs in 2023 (OTA share within online bookings), per Phocuswright analysis
- Hotel direct booking share reached 42% in 2023 in North America, per Amadeus distribution survey
- In 2023, 58% of business travelers used self-service check-in at airports or hotels, per Global Business Travel Association (GBTA) traveler behavior polling
- In 2023, 64% of travelers said they use online reviews at least sometimes, per BrightLocal local consumer review survey
- In 2023, 55% of consumers would pay more for a better customer experience, per PwC Voice of the Customer
In 2023 and 2024, strong U.S. hotel margins and demand met rising digital review and cybersecurity expectations.
Market Size
Market Size Interpretation
Cost Analysis
Cost Analysis Interpretation
Industry Trends
Industry Trends Interpretation
Performance Metrics
Performance Metrics Interpretation
User Adoption
User Adoption Interpretation
Employment
Employment 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.
Alexander Schmidt. (2026, February 13). Travel Hospitality Hotel Industry Statistics. Gitnux. https://gitnux.org/travel-hospitality-hotel-industry-statistics
Alexander Schmidt. "Travel Hospitality Hotel Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/travel-hospitality-hotel-industry-statistics.
Alexander Schmidt. 2026. "Travel Hospitality Hotel Industry Statistics." Gitnux. https://gitnux.org/travel-hospitality-hotel-industry-statistics.
References
- 1wttc.org/research/economic-impact
- 34wttc.org/Research/Economic-Impact
- 2census.gov/naics/?input=721
- 3amadeus.com/en/insights/research-reports/amadeus-travel-trends-2024
- 22amadeus.com/en/insights/research-reports
- 4fitchsolutions.com/commodity-insights/healthcare-facilities-hotels-serviced-apartments-market-size-forecast-2024
- 5cbre.com/insights/featured-reports/cbre-hospitality-insights
- 16cbre.com/insights/reports/global-hospitality-insights
- 6eia.gov/energyexplained/use-of-energy/
- 7dol.gov/agencies/whd/state/minimum-wage/tipped
- 8dol.gov/agencies/whd/minimum-wage/history
- 9ibm.com/security/data-breach
- 10ibm.com/reports/data-breach
- 11javelinstrategy.com/research
- 12verizon.com/business/resources/reports/dbir/
- 13ec.europa.eu/eurostat
- 14thinkwithgoogle.com/intl/en-150/writing/inside-google-travel-insights-2023/
- 32thinkwithgoogle.com/intl/en-150/writing/virtual-reality/
- 15tripadvisor.com/PressCenter-c1-ContentType?p=1
- 17ustravel.org/research/economic-impact
- 18unwto.org/unwto-tourism-dashboard
- 19str.com/insights
- 20jll.com/en/trends/investment-hospitality
- 21phocuswright.com/Travel-Research
- 23reviewpro.com/resources/reviewpro-hotel-guest-satisfaction-benchmark
- 24hotelnewsnow.com/STR-Data/2023/Annual/U.S./RevPAR
- 25hotelnewsnow.com/STR-Data/2023/Annual/U.S./Occupancy
- 26hotelnewsnow.com/STR-Data/2023/Annual/U.S./ADR
- 27skift.com/research/
- 28gbta.org/research
- 29brightlocal.com/research/local-consumer-review-survey/
- 30pwc.com/gx/en/industries/consumer-markets/consumer-insights-survey.html
- 31pymnts.com/bnpl/
- 33oracle.com/industries/hospitality/
- 35bls.gov/jlt/data.htm






