Data includes occupancy rates, average daily rates, and revenue per available room.

This statistic shows the global hotel industry market size from 2014 to 2018. The retail value of the global hotel industry was 600.49 billion U.S. dollars in 2018.

Global hotel industry - additional information

The global hotel industry comes under the umbrella of the travel and tourism industry, an industry which contributed 8.81 trillion U.S. dollars to the global economy in 2018. Travelers who are on the road for more than a day need a place to sleep and rest - there are various types of lodging across the world to accommodate for this.

The global occupancy rate (the share of total rooms available which are occupied or rented at a given time) of hotels in most regions increased over the previous five years. Europe had the highest occupancy rate in 2018 at 72.4 percent, closely followed by the Asia Pacific region with 70.6 percent. In the same year, the Middle East and Africa were the most expensive region for hotels with an average daily rate of 140.97 U.S. dollars. The cheapest region for the last five years was Asia Pacific.

We will create a customized hotels dataset tailored to your specific requirements. Data points may include hotel names, location details, pricing information, amenity lists, guest ratings, occupancy rates, and other relevant metrics.

Utilize our hotels datasets for a variety of applications to boost strategic planning and market analysis. Analyzing these datasets can help organizations understand guest preferences and market trends within the hospitality industry, allowing for more precise operational adjustments and marketing strategies. You can choose to access the complete dataset or a customized subset based on your business needs.

Popular use cases include: optimizing booking strategies, enhancing guest experience, and competitive benchmarking.

According to a 2024 survey of hotel chains worldwide, rules-based artificial intelligence tools, which can be used for process optimization or recommendation engines, ranked as the area with the most innovations arising in the next two years. While 76 percent of the sample stated so, just 14 percent of respondents mentioned augmented reality, virtual reality, and the metaverse.

No of Hotel Rooms: DOM: Guadeloupe data was reported at 86.090 Unit th in Feb 2025. This records a decrease from the previous number of 95.070 Unit th for Jan 2025. No of Hotel Rooms: DOM: Guadeloupe data is updated monthly, averaging 95.215 Unit th from Jan 2011 (Median) to Feb 2025, with 170 observations. The data reached an all-time high of 108.700 Unit th in Dec 2016 and a record low of 11.500 Unit th in Apr 2020. No of Hotel Rooms: DOM: Guadeloupe data remains active status in CEIC and is reported by National Institute of Statistics and Economic Studies. The data is categorized under Global Database’s France – Table FR.Q010: Hotels Statistics: Number of Hotel Rooms.

No of Hotel Rooms: MF: Hauts-de-France data was reported at 818.000 Unit th in Feb 2025. This records a decrease from the previous number of 866.000 Unit th for Jan 2025. No of Hotel Rooms: MF: Hauts-de-France data is updated monthly, averaging 869.500 Unit th from Jan 2011 (Median) to Feb 2025, with 170 observations. The data reached an all-time high of 937.000 Unit th in May 2023 and a record low of 223.000 Unit th in Apr 2020. No of Hotel Rooms: MF: Hauts-de-France data remains active status in CEIC and is reported by National Institute of Statistics and Economic Studies. The data is categorized under Global Database’s France – Table FR.Q010: Hotels Statistics: Number of Hotel Rooms.

Overview of global booking trends and hotel market data including occupancy, booking lead times, channels, pace, and segment mix across the following regions.

The Report Covers Global Luxury Hotel Market Share and is Segmented by Type (Business Hotels, Airport Hotels, Suite Hotels, Resorts, and Other Hotels) and by Geography (North America, Europe, Asia-Pacific, South America, and Middle-East and Africa).

The Report Covers US Hospitality Industry Trends, Overview and the Market is Segmented by Type (Chain Hotels and Independent Hotels) and Segment (Service Apartments, Budget and Economy Hotels, Mid and Upper Mid-Scale Hotels, and Luxury Hotels)

During the coronavirus (COVID-19) pandemic, a worldwide survey was conducted from July to August 2020 to determine which contactless options hotel guests preferred to use for check-in and check-out, as opposed to the traditional reception desk procedure. The contactless options given were hotel apps, webpages, and public kiosks. The results of the survey indicated that a majority of respondents, 62 percent, preferred to check-in and check-out using a hotel app. Meanwhile, 30 percent preferred to use a website, leaving only eight percent of respondents who preferred to use a public kiosk.

The summary statistics by North American Industry Classification System (NAICS), which include: operating revenue (dollars x 1,000,000), operating expenses (dollars x 1,000,000), salaries wages and benefits (dollars x 1,000,000), and operating profit margin (by percent), of all NAICS under accommodation services (721), annual, for five years of data.

Dataset from Singapore Department of Statistics. For more information, visit https://data.gov.sg/datasets/d_a728577abbe4ff3f3409b9129be28a53/view

Kazakhstan Hotels Statistics: Number of Hotel Rooms data was reported at 79,820.000 Unit in 2021. This records an increase from the previous number of 77,131.000 Unit for 2020. Kazakhstan Hotels Statistics: Number of Hotel Rooms data is updated yearly, averaging 34,353.000 Unit from Dec 1999 (Median) to 2021, with 23 observations. The data reached an all-time high of 79,820.000 Unit in 2021 and a record low of 2,996.000 Unit in 1999. Kazakhstan Hotels Statistics: Number of Hotel Rooms data remains active status in CEIC and is reported by Bureau of National Statistics of the Agency for Strategic Planning and Reforms of the Republic of Kazakhstan. The data is categorized under Global Database’s Kazakhstan – Table KZ.Q005: Hotel Statistics.

The dataset contains locations and attributes of Hotels, created as part of the DC Geographic Information System (DC GIS) for the D.C. Office of the Chief Technology Officer (OCTO) and participating D.C. government agencies. A database provided by the DC Taxi Commission (DCTC) and research at various commercial websites identified Hotels and DC GIS staff geo-processed the data.

The Global Hotel Data dataset is an extensive collection of data providing insights into the hotel industry worldwide. This dataset encompasses diverse information, including hotel profiles, room types, amenities, pricing, occupancy rates, and guest reviews. With a size of 500k lines, the Global Hotel Data offers valuable information for hotel chains, independent hotels, travel agencies, and researchers to understand market trends, optimize pricing strategies, and enhance guest experiences globally.

Features:

1. Hotel Profiles: Data on hotel properties, including location, star ratings, facilities, and contact information, enabling analysis of hotel distribution and market positioning.
2. Room Types: Information about room categories, room sizes, bed configurations, and amenities, allowing travelers to compare room options and make informed booking decisions.
3. Amenities: Details about hotel amenities and services, such as Wi-Fi availability, parking facilities, swimming pools, and restaurants, facilitating guest preferences and satisfaction assessments.
4. Pricing: Metrics such as room rates, seasonal pricing variations, and promotional offers, enabling hoteliers and revenue managers to optimize pricing strategies and maximize revenue.
5. Occupancy Rates: Data on room occupancy rates, demand patterns, and booking lead times, allowing hoteliers to forecast demand, manage inventory, and allocate resources effectively.
6. Guest Reviews: Ratings and feedback from guests regarding their stay experience, including cleanliness, staff friendliness, and overall satisfaction, providing insights into hotel reputation and service quality.
7. Size: The dataset comprises 500 thousand lines of data.

Potential Applications:

1. Competitive Analysis: Hotel chains can analyze competitor profiles, pricing strategies, and guest reviews to benchmark their performance and identify areas for improvement and differentiation.
2. Revenue Optimization: Revenue managers can use the dataset to monitor demand trends, adjust pricing strategies dynamically, and maximize revenue through strategic pricing and distribution decisions.
3. Guest Experience Enhancement: Hoteliers can leverage guest feedback and reviews to identify service gaps, address guest concerns, and enhance overall guest satisfaction and loyalty.
4. Market Research: Travel agencies and researchers can analyze hotel data to understand market trends, traveler preferences, and destination popularity, informing product development and marketing strategies.

Usage Considerations:

1. Data Privacy: Protect guest privacy and personal information in compliance with data protection regulations, ensuring secure handling and storage of sensitive guest data while analyzing and sharing hotel data.
2. Data Quality: Validate the accuracy and reliability of hotel data sources and performance metrics to ensure data integrity and reliability for decision-making and analysis.
3. Ethical Use: Use hotel data ethically and responsibly, respecting guest consent and preferences regarding data collection, usage, and sharing in hotel analytics and research.

Disclaimer:

While the Global Hotel Data dataset provides valuable insights into the hotel industry and guest preferences, users are reminded to use the data responsibly and ethically. Hotel data analytics should be interpreted with caution, considering factors such as data biases, seasonal variations, and market dynamics, and any actions taken based on the dataset should prioritize guest satisfaction, data privacy, and regulatory compliance.

Graph and download economic data for Producer Price Index by Industry: Hotels and Motels, Except Casino Hotels (PCU721110721110) from Dec 2003 to May 2025 about casino, hotel, PPI, industry, inflation, price index, indexes, price, and USA.

The coronavirus (COVID-19) pandemic is causing the hotel industry across the globe to take a hit. In the United States, this can be seen through a year-over-year decrease in some of the most important key performance indicators in the industry: occupancy, revenue per available room (RevPAR), and average daily rate (ADR). In the week ending December 25, 2021, U.S. hotels had an occupancy of 44.31 percent, showing a year-over-year decrease of 8.7 percent. Meanwhile, ADR dropped to 129.67 U.S. dollars, reflecting an increase of 0.5 percent on the previous year. Lastly, a RevPAR of 57.46 U.S. dollars showed a year-on-year drop of 8.3 percent.

The market size of the hotel and motel sector in the United States was valued at approximately 231.1 billion U.S. dollars in 2023. This figure shows a 7.7 percent increase over the previous year's total of 214.6 billion U.S. dollars.

The occupancy rate of hotels in the United States reached 67 percent in October 2024. This shows a slight increase when compared to the previous year. The low occupancy rate during 2020 was due to the impact of the coronavirus (COVID-19) pandemic on the hotel industry.

No of Hotel Rooms: Overseas Departments (DOM) data was reported at 323.000 Unit th in Feb 2025. This records a decrease from the previous number of 346.300 Unit th for Jan 2025. No of Hotel Rooms: Overseas Departments (DOM) data is updated monthly, averaging 324.000 Unit th from Jan 2011 (Median) to Feb 2025, with 169 observations. The data reached an all-time high of 372.300 Unit th in Jan 2020 and a record low of 82.300 Unit th in Apr 2020. No of Hotel Rooms: Overseas Departments (DOM) data remains active status in CEIC and is reported by National Institute of Statistics and Economic Studies. The data is categorized under Global Database’s France – Table FR.Q010: Hotels Statistics: Number of Hotel Rooms.