The Ministry of Transportation and Communications Tourism Bureau collects spatial tourism information released by various government agencies, including information on tourist attractions, activities, dining and lodging, tourist service stations, hiking trails, bike paths, and other data, providing comprehensive tourism GIS basic data for operators to add value. The XML field descriptions for each dataset, tourism data standard V1.0 data, please refer to https://media.taiwan.net.tw/Upload/TourismInformationStandardFormatV1.0.pdf; tourism data standard V2.0 data, please refer to https://media.taiwan.net.tw/Upload/TourismDataStandardV2.0.pdf.

We will create a customized hotel bookings 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 bookings 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.

No of Hotel Rooms: DOM: Guadeloupe data was reported at 96.930 Unit th in Jan 2025. This records an increase from the previous number of 96.890 Unit th for Dec 2024. No of Hotel Rooms: DOM: Guadeloupe data is updated monthly, averaging 95.550 Unit th from Jan 2011 (Median) to Jan 2025, with 169 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.

PromptCloud offers unparalleled data extraction services, enabling businesses to access real-time, comprehensive data from the global travel industry. Our Global Travel Data Dataset is a fundamental resource for companies aiming to understand and capitalize on travel market trends. It provides insights into airfare fluctuations, hotel pricing strategies, traveler preferences, and destination popularity. This dataset is invaluable for tracking industry movements, understanding customer sentiment, and staying ahead in the competitive travel sector.

We are committed to putting data at the heart of your business. Reach out for a no-frills PromptCloud experience- professional, technologically ahead and reliable.

Beyond basic travel data, PromptCloud caters to a wide range of travel-related data needs, from airline databases to hotel aggregators. Our advanced web scraping services are fully customizable, allowing clients to choose their data sources, collection frequencies, and specific data points. This flexibility ensures that our data extraction solutions are perfectly tailored to each client's unique requirements. Our sophisticated data aggregation technology allows for efficient extraction from multiple travel sources, making it ideal for travel agencies, hoteliers, and market researchers.

Leveraging over a decade of experience in travel data extraction, PromptCloud stands as an authoritative source in the field. We ensure the highest data quality and reliability, with a rigorous verification process that underscores our commitment to accuracy and trustworthiness.

16 Global export shipment records of Hotel Industry with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

Taiwan General Hotel: Number of Hotel data was reported at 3,885.000 Unit in 2017. This records an increase from the previous number of 3,688.000 Unit for 2016. Taiwan General Hotel: Number of Hotel data is updated yearly, averaging 3,239.000 Unit from Dec 2003 (Median) to 2017, with 15 observations. The data reached an all-time high of 3,885.000 Unit in 2017 and a record low of 3,151.000 Unit in 2010. Taiwan General Hotel: Number of Hotel data remains active status in CEIC and is reported by Tourism Bureau, Ministry of Transportation and Communications. The data is categorized under Global Database’s Taiwan – Table TW.Q020: Hotel Statistics: General Hotel: Number of Hotels and Rooms (Annual).

No of Hotel Rooms: MF: Corsica data was reported at 88.000 Unit th in Jan 2025. This records a decrease from the previous number of 98.000 Unit th for Dec 2024. No of Hotel Rooms: MF: Corsica data is updated monthly, averaging 233.000 Unit th from Jan 2011 (Median) to Jan 2025, with 169 observations. The data reached an all-time high of 390.000 Unit th in Aug 2024 and a record low of 49.000 Unit th in Jan 2021. No of Hotel Rooms: MF: Corsica 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.

[Metadata] Locations of the Visitor Plant Inventory (VPI) in the State of Hawaii (updated December, 2021). Source: Hawaii Tourism Authority, September 2022. This inventory includes apartment hotels, bed and breakfasts (B&Bs), condominium hotels, hostels, hotels, individual vacation units, timeshares, and other types of visitor accommodations.

NOTE TO USERS -- There may be disruption to this data set between March 19 to March 29 related to a upgrade. Please contact dsdopendata@austintexas.gov with questions. City of Austin Open Data Terms of Use https://data.austintexas.gov/stories/s/ranj-cccq This dataset lists all active operating licenses for Hotels, Motels, and Bed & Breakfasts

As of November 2024, the market size of the casino hotel industry in the United States totaled 79 billion U.S. dollars. Meanwhile, there were around 331,000 individuals employed in the sector.

As of March 2025, Louvre Hotels Group operated 1,756 hotels across 70 countries worldwide. As of that month, the French hospitality group's portfolio included 11 brands.

According to Cognitive Market Research, the global Hotel Management market size will be USD 3625.2 million in 2024. It will expand at a compound annual growth rate (CAGR) of 6.00% from 2024 to 2031.

North America held the major market share for more than 40% of the global revenue with a market size of USD 1450.08 million in 2024 and will grow at a compound annual growth rate (CAGR) of 4.2% from 2024 to 2031.
Europe accounted for a market share of over 30% of the global revenue with a market size of USD 1087.56 million.
Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 833.80 million in 2024 and will grow at a compound annual growth rate (CAGR) of 8.0% from 2024 to 2031.
Latin America had a market share of more than 5% of the global revenue with a market size of USD 181.26 million in 2024 and will grow at a compound annual growth rate (CAGR) of 5.4% from 2024 to 2031.
Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD 72.50 million in 2024 and will grow at a compound annual growth rate (CAGR) of 5.7% from 2024 to 2031.
The Solo category is the fastest growing segment of the Hotel Management industry

Market Dynamics of Hotel Management Market

Key Drivers for Hotel Management Market

The market is being enhanced by the increasing incorporation of mobile applications to provide visitors with convenience

Hotel management systems are currently in the process of swiftly integrating mobile applications to improve the visitor experience, personalization, and communication with hotel staff. This enables hoteliers to enhance the guest experience and to gain insight into the preferences, revenue streams, and operational effectiveness of their visitors. Hotels can offer a wide range of services to their visitors, such as room appointments, dining reservations, and concierge assistance, through the use of mobile applications. Additionally, these applications assist hotels in the collection of data regarding visitor preferences and behaviors, which enables them to identify current trends and modify their marketing campaigns and promotions. In general, the incorporation of mobile applications into hotel administration systems represents a significant milestone in the hotel industry, as it results in increased visitor satisfaction, operational efficiency, and revenue growth.

The market would be stimulated by the emergence of an online booking trend

Global hotel management systems market growth is experiencing substantial demand from consumers due to the increase in the number of OTAs (Online Travel Agencies) and direct online bookings. A hotel management system is a centralized system that facilitates the reservation process across multiple channels and provides real-time availability, thereby reducing the risk of overbooking. This trend emphasizes the increasing necessity for accommodations that facilitate the seamless integration of efficient digital solutions that can simplify the booking process from various online sources. This type of system not only enhances the efficacy of operations but also provides valuable information that assists in providing better service to guests regarding room availability. The robust nature of reservation management systems is imperative in ensuring optimal occupancy rates and maximum revenue potential, which is a result of the significant role that online platforms play in the hospitality industry for appointments.

Restraint Factor for the Hotel Management Market

The market is confronted with an increasing number of cyber security threats

The managing of sensitive visitor information, including personal data and payment details, presents data security challenges for hotel management systems. Despite the fact that the cyber landscape is becoming more problematic due to security threats, safeguarding this data presents significant challenges that require strict adherence to data protection regulations and security protocols. The necessity of implementing dependable security measures in hotel administration systems is underscored by the growing number of cyber threats. These measures are crucial for safeguarding visitor data in the areas of privacy, security, and data availability, thereby reducing the likelihood of unauthorized access or data breaches. Furthermore, the hospitality sector is required to adhere to data protection laws and...

Panama Number of Hotel Rooms data was reported at 0.000 Unit in Dec 2023. This stayed constant from the previous number of 0.000 Unit for Nov 2023. Panama Number of Hotel Rooms data is updated monthly, averaging 5,764.000 Unit from Jan 2000 (Median) to Dec 2023, with 288 observations. The data reached an all-time high of 10,501.000 Unit in Jul 2015 and a record low of 0.000 Unit in Dec 2023. Panama Number of Hotel Rooms data remains active status in CEIC and is reported by National Institute of Statistics and Census. The data is categorized under Global Database’s Panama – Table PA.Q004: Hotel Statistics.

Context

PromptCloud and DataStock extracted this data from Booking.com to find out the rates and prices and states hotels were available for the period of 1 year from December 2018 to December 2019. This is a sample dataset of 30K records.

You can download the full dataset here

Content

This dataset was procured to give knowledge about the various hotels that are present on Booking.com. This dataset will be helpful for the researchers and students who want these type of specific datasets that can be used for various case studies and projects based on different hotels across the globe that is available on booking.com

The Data Fields That This File Contain Are: Root Folders 456 Root Folders Each Root Folder Contains - Uniq_ID - Hotel_ID - Hotel_Name - Review_Count - Default_Rank - Price_Rank - OTA

Acknowledgements

This dataset was created by PromptCloud's In-House Data Crawling Team

Inspiration

We want users to use clean and raw data which will help them gain access to knowledge about different sites and help them in their various projects or research that they might conduct. We want our customers to feel that they can depend on datasets like this from us and that is what drives us. Customer satisfaction is our main priority and we only wish the best for them and they keep us going.### Context

PromptCloud and DataStock extracted this data from Booking.com to find out the rates and prices and states hotels were available for the time period of 1 year from December 2018 to December 2019. This is a sample dataset of 30K records.

You can download the full dataset here

Content

This dataset was procured to give knowledge about the various hotels that are present on Booking.com. This dataset will be helpful for the researchers and students who want these type of specific datasets that can be used for various case studies and projects based on different hotels across the globe that is available on booking.com

The Data Fields That This File Contain Are: Root Folders 456 Root Folders Each Root Folder Contains - Uniq_ID - Hotel_ID - Hotel_Name - Review_Count - Default_Rank - Price_Rank - OTA

Acknowledgements

This dataset was created by PromptCloud's In-House Data Crawling Team

Inspiration

We want users to use clean and raw data which will help them gain access to knowledge about different sites and help them in their various projects or research that they might conduct. We want our customers to feel that they can depend on datasets like this from us and that is what drives us. Customer satisfaction is our main priority and we only wish the best for them and they keep us going.

1316 Global import shipment records of Hotel Key Card with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

The Arlington Profile combines countywide data sources and provides a comprehensive outlook of the most current data on population, housing, employment, development, transportation, and community services. These datasets are used to obtain an understanding of community, plan future services/needs, guide policy decisions, and secure grant funding. A PDF Version of the Arlington Profile can be accessed on the Arlington County website.

Our specialized Hotel Rates & Pricing Data solutions offer an all-encompassing perspective of the dynamic hospitality market. Whether you're steering a boutique hotel, managing a chain of properties, or overseeing a resort, our platform provides the essential tools to make data-driven decisions that propel you forward in the competitive hospitality landscape.

Gain immediate access to real-time hotel pricing information, enabling you to meticulously track market trends and monitor competitor rates. Our services are designed for flexibility, allowing you to fine-tune parameters such as source websites, data points, and update frequencies to align precisely with your business needs. The adept data aggregation capabilities of our web crawler guarantee a seamless extraction experience from multiple sources, delivering a comprehensive panorama of hotel pricing dynamics.

Stay at the forefront of the competition by refining your pricing strategy based on accurate and up-to-date data. Leverage our Hotel Rates & Pricing Data to pinpoint revenue opportunities, dynamically adjust pricing in response to market fluctuations, and enhance overall profitability. Our reliable data extraction process, fortified by a meticulous 100% verification system, ensures unparalleled accuracy and reliability.

With a rich history spanning over a decade in data extraction, PromptCloud emerges as a steadfast partner for the hospitality industry. Explore uncharted territories in hotel revenue management with our unmatched data solutions, ensuring that your pricing strategies are not only informed and strategic but also finely attuned to the dynamic nature of the market.

This dataset includes quantitative and categorical features from online reviews from 21 hotels located in Las Vegas Strip, extracted from TripAdvisor (http://www.tripadvisor.com). All the 504 reviews were collected between January and August of 2016. The dataset contains 504 records and 20 tuned features (as of “status = included”, from Table 1 of the article mentioned below), 24 per hotel (two per each month, randomly selected), regarding the year of 2015.

Data on the number of hotel rooms for the next three year

31 Global export shipment records of Hotel Amenities with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.