Cover image visualizing global travel and hospitality recovery. A transparent digital dashboard displays upward-trending line graphs, bar charts with growth percentages (+30%, +50%), and icons for hotels, flights, and short-term rentals against a backdrop of a glowing world map and global landmarks like the Eiffel Tower and Statue of Liberty at sunrise.
A data-driven snapshot of the global travel and hospitality sector's recovery, illustrating the strong upward trend in revenues, arrivals, and segment performance from 2019 to 2024.

The Travel & Hospitality industry Revenue Recoveries: 2019–2024

Global travel and hospitality industry revenue bounced back strongly between 2019 and 2024, driven by surging demand for leisure travel, stronger hotel performance and rising short-term rental activity. In fact, according to the World Travel & Tourism Council Travel & Tourism’s total contribution to global GDP reached roughly US$10.9 trillion in 2024, roughly back to — or slightly above — the 2019 level.

Headline figures at a glance

First, the essentials you should remember: total sector contribution to global GDP recovered to about US$10.9 trillion in 2024. Next, international tourist arrivals climbed to roughly 1.4 billion overnight visitors in 2024. Finally, hotels regained ground with RevPAR and ADR improving in many markets.

Infographic dashboard summarizing 2024 Global Travel & Hospitality KPIs: GDP contribution of US$10.9 Trillion, approximately 1.4 billion international arrivals, and rising Hotel RevPAR and ADR.
A snapshot of the key performance indicators (KPIs) defining the 2024 travel rebound, showing a return to—or slight exceedance of—pre-pandemic headline figures.

Looking at the trend, revenues plunged in 2020 then recovered stepwise from 2021 through 2024. For example, WTTC’s datasets show a steep fall in 2020 and steady growth afterward, culminating in near-2019 or slightly higher totals by 2024.

Revenue trend 2019 → 2024

Consequently, the pattern tells a clear story: the sector’s rebound relied on both pent-up leisure demand and reopening of international routes. Moreover, recovery timing varied by region and segment, with leisure-heavy markets typically recovering faster.

Area line chart illustrating the trend of Travel & Tourism's contribution to global GDP from 2019 to 2024, showing a sharp drop in 2020 followed by a stepwise recovery back to ~$10.9T in 2024.
The recovery trend line: After plunging in 2020, sector revenues recovered stepwise, culminating in totals near or slightly above 2019 levels by 2024.

Segment deep-dive

Next, break the recovery down by segment. Hotels saw occupancy and rate gains as travel returned; STR (short-term rental) platforms also expanded nights and guest spending. STR growth boosted local economic activity in many destinations, while hotels benefited from rising ADR in key markets.

Furthermore, STRs often helped disperse demand outside core city centers, supporting restaurants and small businesses. In addition, tours and experiences rebounded strongly as travellers sought richer on-trip activities.

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Grouped bar chart showing travel segment recovery indexed against a 100% 2019 baseline. In 2024, Hotels reached 99%, Short-Term Rentals (STR) exceeded 2019 at 108%, and Tours & Experiences reached 97%.
Segment recovery deep-dive: While hotels and experiences nearly regained their ground, short-term rentals (STR) surged past 2019 levels driven by expanded demand and supply.

Top-performing countries & laggards

For context, some countries outpaced 2019 levels while others lagged. For instance, Spain hit record arrival numbers in 2024, reporting a very high visitor count and above-2019 receipts. Meanwhile, a few markets still registered slower returns due to connectivity limits or slower business travel recovery.

Therefore, destination performance now depends on a mix of international connectivity, price competitiveness and the strength of domestic tourism.

Comparative bar chart showing uneven international tourist arrivals between 2019 (red) and 2024 (gold). Global totals are matched, top performers like Spain show record highs, and slower markets remain below 2019 levels.
The uneven geography of the rebound: Global arrival numbers balanced out, but individual destination performance varied wildly based on connectivity and domestic strength.

What the revenue recovery means for businesses

Practically, the rebound changes the playbook for operators. Hotels can justify modest rate increases where RevPAR has recovered, but they must balance price with occupancy risk. Short-term rental hosts benefit from higher demand and the ability to make money online, but should watch local regulation and seasonality.

Moreover, small suppliers — restaurants, guides and transport services — can expect stronger local demand, though they must manage costs in an inflationary environment and plan for staffing constraints.

Methodology & data appendix

Briefly, the headline numbers here come from global industry datasets: WTTC’s Economic Impact Research for GDP and sector totals, UNWTO’s World Tourism Barometer for international arrivals, STR for hotel performance, and platform reports (Airbnb) for short-term rental trends and local economic contribution. I used WTTC’s published 2019–2024 tables and UNWTO’s barometer releases to build the charts.

If you publish these figures, please link to primary datasets and note the access date. Also, my %-recovery calculations use a simple ratio: (year_value ÷ 2019_value) × 100.

Takeaway & recommended next reads

In short, travel and hospitality industry revenue recovered to near or above 2019 revenue levels by 2024, but recovery remains uneven across segments and markets. Consequently, businesses in the hospitality industry should focus on flexible pricing, demand forecasting, and diversifying revenue streams.

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For deeper reading, consult WTTC’s Economic Impact Research, UNWTO’s World Tourism Barometer, STR hotel performance reports, and platform economic impact releases (Airbnb). These sources provide the full tables and country breakdowns you can use for follow-up analysis.

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