100+ datasets found
  1. P

    Hotel Dataset

    • paperswithcode.com
    Updated Mar 7, 2022
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    Ashkan Farhangi; Arthur Huang; Zhishan Guo (2022). Hotel Dataset [Dataset]. https://paperswithcode.com/dataset/hotel-sales
    Explore at:
    Dataset updated
    Mar 7, 2022
    Authors
    Ashkan Farhangi; Arthur Huang; Zhishan Guo
    Description

    The dataset contains the hotel demand and revenue of 8 major tourist destinations in the US (e.g., Los Angeles, Orlando ...). The dataset contains sales, daily occupancy, demand, and revenue of the upper-middle class hotels.

    We also gathered dynamic exogenous variables such as the state’s closure/open policy to enrich our dataset. Specifically, we gathered numerious static features such as the number of hospitals, GPD, and population.

  2. Hotels Dataset

    • brightdata.com
    .json, .csv, .xlsx
    Updated May 7, 2024
    + more versions
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    Bright Data (2024). Hotels Dataset [Dataset]. https://brightdata.com/products/datasets/travel/hotels
    Explore at:
    .json, .csv, .xlsxAvailable download formats
    Dataset updated
    May 7, 2024
    Dataset authored and provided by
    Bright Datahttps://brightdata.com/
    License

    https://brightdata.com/licensehttps://brightdata.com/license

    Area covered
    Worldwide
    Description

    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.

  3. c

    USA hotels dataset from booking

    • crawlfeeds.com
    csv, zip
    Updated Jun 15, 2025
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    Crawl Feeds (2025). USA hotels dataset from booking [Dataset]. https://crawlfeeds.com/datasets/usa-hotels-dataset-from-booking
    Explore at:
    csv, zipAvailable download formats
    Dataset updated
    Jun 15, 2025
    Dataset authored and provided by
    Crawl Feeds
    License

    https://crawlfeeds.com/privacy_policyhttps://crawlfeeds.com/privacy_policy

    Area covered
    United States
    Description

    The USA Hotels Dataset from Booking.com is a rich collection of data related to hotels across the United States, extracted from Booking.com. This dataset includes essential information about hotel listings, such as hotel names, locations, prices, star ratings, customer reviews, and amenities offered. It's an ideal resource for researchers, data analysts, and businesses looking to explore the hospitality industry, analyze customer preferences, and understand pricing patterns in the U.S. hotel market.

    Access 3 million+ US hotel reviews — submit your request today.

    Key Features:

    • Hotel Information: Includes hotel names, addresses, star ratings, and descriptions.
    • Pricing Data: Nightly rates, discounts, and price variations by room type and season.
    • Customer Reviews: Aggregated ratings and detailed user feedback from verified guests.
    • Amenities: Detailed list of amenities provided by each hotel (e.g., Wi-Fi, parking, spa, swimming pool).
    • Geographical Information: Hotel locations including city, state, and proximity to major landmarks.

    Use Cases:

    • Sentiment Analysis: Analyze customer reviews to gauge hotel service quality and guest satisfaction.
    • Price Analysis: Compare pricing across different hotels, locations, and time periods to identify trends.
    • Recommendation Systems: Build recommendation engines based on customer ratings, reviews, and preferences.
    • Tourism and Hospitality Research: Understand patterns in hotel demand and services across various U.S. cities.

  4. o

    Data from: Hotel statistics

    • data.ontario.ca
    web, xlsx
    Updated Jun 27, 2025
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    Heritage, Sport, Tourism and Culture Industries (2025). Hotel statistics [Dataset]. https://data.ontario.ca/dataset/hotel-statistics
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    xlsx(32676), xlsx(32627), xlsx(33800), xlsx(33570), xlsx(33578), xlsx(33430), xlsx(33448), xlsx(32661), web(None), xlsx(32887), xlsx(32623), xlsx(32565), xlsx(32563), xlsx(32843), xlsx(33158), xlsx(32853), xlsx(33370), xlsx(34518), xlsx(34238), xlsx(33539), xlsx(33680), xlsx(33706), xlsx(196033), xlsx(33774), xlsx(33855), xlsx(33672), xlsx(33625), xlsx(33537), xlsx(33662), xlsx(33551), xlsx(33636), xlsx(33436), xlsx(33654), xlsx(33691), xlsx(33514), xlsx(33418), xlsx(32411), xlsx(33649), xlsx(33627), xlsx(32448), xlsx(32546), xlsx(32540), xlsx(32377), xlsx(32810), xlsx(32652), xlsx(32896), xlsx(32660), xlsx(32909), xlsx(32573), xlsx(32827), xlsx(32802), xlsx(196474), xlsx(33759), xlsx(203385), xlsx(33924), xlsx(202316), xlsx(33556), xlsx(32477)Available download formats
    Dataset updated
    Jun 27, 2025
    Dataset authored and provided by
    Heritage, Sport, Tourism and Culture Industries
    License

    https://www.ontario.ca/page/terms-usehttps://www.ontario.ca/page/terms-use

    Area covered
    Ontario
    Description

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

  5. Hotel Reservation dataset

    • kaggle.com
    Updated Jul 7, 2023
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    Vanthanadevi s (2023). Hotel Reservation dataset [Dataset]. https://www.kaggle.com/datasets/vanthanadevi08/hotel-reservation-dataset
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jul 7, 2023
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Vanthanadevi s
    Description

    36275 unique values Booking_ID no_of_adults no_of_children no_of_weekend_nights no_of_week_nights type_of_meal_plan required_car_parking_space room_type_reserved lead_time arrival_year arrival_month arrival_date market_segment_type repeated_guest no_of_previous_cancellations no_of_previous_bookings_not_canceled avg_price_per_room no_of_special_requests booking_status

  6. Online Hotel Booking in the US - Market Research Report (2015-2030)

    • ibisworld.com
    Updated May 15, 2025
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    IBISWorld (2025). Online Hotel Booking in the US - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/united-states/market-research-reports/online-hotel-booking-industry/
    Explore at:
    Dataset updated
    May 15, 2025
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2015 - 2030
    Area covered
    United States
    Description

    The Online Hotel Booking industry comprises establishments primarily providing hotel booking services via online platforms. These websites are third-party platforms for customers to research and make hotel reservations. Consequently, this industry excludes hotels that offer direct bookings on their websites and brick-and-mortar travel agencies. Over the past five years, more individuals willing to make online reservations have benefited the industry. However, rising inflation and consumer uncertainty since 2022 have collectively reduced travel demand. Therefore, over the five years to 2025, industry revenue is expected to grow at an annualized rate of 19.5% to $55.8 billion, including a 4.7% growth in 2025 alone. The surge in growth rate is due to the low pandemic base year when industry revenue suffered from travel restrictions. Traditionally, travelers could book hotel hotels directly on websites or via travel agencies. However, the introduction of online hotel booking services enables customers to search and browse hotels according to their desired criteria, compare rooms at different hotels, and finally make a reservation from the comfort of their homes. Consequently, the industry has grown due to its added convenience compared with its direct substitutes. The industry has grown strongly due to the consistent rises in the number of trips made by US travelers and inbound trips by non-US residents. Industry revenue will continue to grow over the next five years as the economy improves from the record-high inflation. As consumer confidence recovers, individuals will feel more financially comfortable traveling. However, the industry contends with higher competition from direct hotel websites as some customers still make reservations directly with hotels. Nonetheless, industry revenue is projected to increase at an annualized rate of 2.5% to $63.1 billion over the five years to 2030.

  7. h

    hotel-reviews

    • huggingface.co
    Updated Aug 4, 2017
    + more versions
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    Ismail Ashraq (2017). hotel-reviews [Dataset]. https://huggingface.co/datasets/ashraq/hotel-reviews
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 4, 2017
    Authors
    Ismail Ashraq
    Description

    Dataset Card for "hotel-reviews"

    More Information needed Data was obtained from here

  8. Change in monthly number of hotel bookings worldwide 2020-2023

    • statista.com
    • ai-chatbox.pro
    Updated Jun 27, 2025
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    Statista (2025). Change in monthly number of hotel bookings worldwide 2020-2023 [Dataset]. https://www.statista.com/statistics/1339573/change-in-monthly-number-of-hotel-bookings-worldwide/
    Explore at:
    Dataset updated
    Jun 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2020 - Nov 2023
    Area covered
    Worldwide
    Description

    The year-over-year monthly change in the number of hotel bookings worldwide dropped to *** percent in April 2020. The sharp change in hotel bookings was due to the impact of the coronavirus (COVID-19) pandemic on international travel and the hotel industry. Three years later, in April 2023, the monthly change in the number of hotel bookings was ** percent.

  9. Hotel Reservation Software Market Report | Global Forecast From 2025 To 2033...

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
    + more versions
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    Dataintelo (2025). Hotel Reservation Software Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-hotel-reservation-software-market
    Explore at:
    csv, pptx, pdfAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Hotel Reservation Software Market Outlook



    The global hotel reservation software market size was valued at approximately USD 5.6 billion in 2023 and is projected to reach USD 12.8 billion by 2032, growing at a compound annual growth rate (CAGR) of 9.3% during the forecast period. This substantial growth is primarily driven by the increasing digitalization of the hospitality industry, which is pushing hotels to adopt innovative software solutions to streamline operations and enhance guest experiences. As hotels strive to offer seamless and personalized services to meet the evolving expectations of travelers, the demand for advanced reservation software is anticipated to rise steadily.



    One of the key growth factors in the hotel reservation software market is the surging trend of online booking channels. With a significant shift in consumer behavior towards online platforms, hotels are increasingly adopting reservation software that integrates seamlessly with online travel agencies (OTAs) and global distribution systems (GDS). This integration not only helps in maximizing room occupancy rates but also offers customers a convenient booking experience. Furthermore, the proliferation of mobile applications is driving hotels to provide mobile-friendly booking solutions, thus broadening their reach and enhancing customer satisfaction. The convenience and accessibility offered by mobile booking platforms are anticipated to further propel market growth.



    Another significant factor contributing to the growth of the hotel reservation software market is the rising importance of data analytics and automation in the hospitality sector. TodayÂ’s competitive market demands that hotels harness the power of data to make informed decisions and optimize their operations. Advanced reservation software equipped with analytics capabilities allows hoteliers to analyze trends, forecast demand, and implement dynamic pricing strategies to maximize revenue. Additionally, automation in reservation processes reduces manual errors, enhances operational efficiency, and improves overall guest experiences. The increasing reliance on data-driven decision-making processes is thus expected to fuel the adoption of hotel reservation software globally.



    Moreover, the focus on enhancing guest experiences is a crucial driver for the growth of the hotel reservation software market. Hotels are increasingly investing in technology to personalize guest experiences, as it plays a pivotal role in customer satisfaction and retention. Reservation software with integrated customer relationship management (CRM) systems enables hotels to collect and analyze guest preferences, allowing them to tailor services and offers accordingly. Furthermore, features like automated communication, personalized recommendations, and loyalty programs integrated with reservation systems are becoming essential tools for hotels seeking to differentiate themselves in the competitive landscape. This emphasis on elevating guest experiences is likely to significantly boost the market's growth trajectory.



    In the realm of hospitality, Travel Software plays an integral role in enhancing the overall guest experience and operational efficiency. This software encompasses a wide range of applications that assist hotels in managing travel-related services, such as booking flights, arranging transportation, and planning itineraries for guests. By integrating Travel Software with hotel reservation systems, establishments can offer a seamless and comprehensive service to their guests, ensuring that all aspects of their travel are taken care of. This not only improves guest satisfaction but also helps hotels in building long-term relationships with their clientele. As the demand for personalized travel experiences continues to grow, the adoption of Travel Software is expected to rise, further driving the growth of the hotel reservation software market.



    Regionally, the hotel reservation software market is witnessing substantial growth across various geographies due to the rising number of international and domestic travelers. North America holds a prominent share in the market, driven by the presence of a robust hospitality infrastructure and high adoption rates of advanced technologies. Europe follows closely, with countries like the UK, France, and Germany leading the way in technology adoption within the hospitality industry. In the Asia Pacific region, rapid digitization and growing tourism activities are expected to drive the market significantly. The burgeoning middle-class population and increasing disposab

  10. m

    Hotel Booking Market Size, Share & Industry Analysis 2033

    • marketresearchintellect.com
    Updated Jul 3, 2025
    + more versions
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    Market Research Intellect (2025). Hotel Booking Market Size, Share & Industry Analysis 2033 [Dataset]. https://www.marketresearchintellect.com/product/global-hotel-booking-market-size-forecast/
    Explore at:
    Dataset updated
    Jul 3, 2025
    Dataset authored and provided by
    Market Research Intellect
    License

    https://www.marketresearchintellect.com/privacy-policyhttps://www.marketresearchintellect.com/privacy-policy

    Area covered
    Global
    Description

    Discover the latest insights from Market Research Intellect's Hotel Booking Market Report, valued at USD 100 billion in 2024, with significant growth projected to USD 150 billion by 2033 at a CAGR of 5.9% (2026-2033).

  11. Hotel / private accommodation online bookings by brand in the U.S. 2025

    • statista.com
    • ai-chatbox.pro
    Updated Jul 8, 2025
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    Statista (2025). Hotel / private accommodation online bookings by brand in the U.S. 2025 [Dataset]. https://www.statista.com/forecasts/997168/hotel-private-accommodation-online-bookings-by-brand-in-the-us
    Explore at:
    Dataset updated
    Jul 8, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 2024 - Mar 2025
    Area covered
    United States
    Description

    We asked U.S. consumers about "Hotel / private accommodation online bookings by brand" and found that "Booking.com" takes the top spot, while "HotelsCombined" is at the other end of the ranking.These results are based on a representative online survey conducted in 2025 among ***** consumers in the United States. Seeking valuable insights about users of various accommodation platforms worldwide? Check out our reports about accommodation portals. These reports provide readers with a detailed understanding into users of various accommodation portals, highlighting their demographics, preferences, opinions, and ways to engage with them effectively.

  12. h

    filtered-hotel-dataset

    • huggingface.co
    Updated Oct 8, 2024
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    DvorakInnovation (2024). filtered-hotel-dataset [Dataset]. https://huggingface.co/datasets/DvorakInnovationAI/filtered-hotel-dataset
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Oct 8, 2024
    Dataset authored and provided by
    DvorakInnovation
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    DvorakInnovationAI/filtered-hotel-dataset dataset hosted on Hugging Face and contributed by the HF Datasets community

  13. c

    Booking hotel reviews large dataset

    • crawlfeeds.com
    csv, zip
    Updated Jun 17, 2025
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    Crawl Feeds (2025). Booking hotel reviews large dataset [Dataset]. https://crawlfeeds.com/datasets/booking-hotel-reviews-large-dataset
    Explore at:
    zip, csvAvailable download formats
    Dataset updated
    Jun 17, 2025
    Dataset authored and provided by
    Crawl Feeds
    License

    https://crawlfeeds.com/privacy_policyhttps://crawlfeeds.com/privacy_policy

    Description

    Explore our extensive Booking Hotel Reviews Large Dataset, featuring over 20.8 million records of detailed customer feedback from hotels worldwide. Whether you're conducting sentiment analysis, market research, or competitive benchmarking, this dataset provides invaluable insights into customer experiences and preferences.

    The dataset includes crucial information such as reviews, ratings, comments, and more, all sourced from travellers who booked through Booking.com. It's an ideal resource for businesses aiming to understand guest sentiments, improve service quality, or refine marketing strategies within the hospitality sector.

    With this hotel reviews dataset, you can dive deep into trends and patterns that reveal what customers truly value during their stays. Whether you're analyzing reviews for sentiment analysis or studying traveller feedback from specific regions, this dataset delivers the insights you need.

    Ready to get started? Download the complete hotel review dataset or connect with the Crawl Feeds team to request records tailored to specific countries or regions. Unlock the power of data and take your hospitality analysis to the next level!

    Access 3 million+ US hotel reviews — submit your request today.

  14. Hotel Booking Software Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
    + more versions
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    Dataintelo (2025). Hotel Booking Software Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/hotel-booking-software-market
    Explore at:
    pdf, csv, pptxAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Hotel Booking Software Market Outlook


    The global hotel booking software market size is expected to grow significantly, reaching USD 12.3 billion by 2032 from USD 4.5 billion in 2023, reflecting a robust compound annual growth rate (CAGR) of 11.5%. This growth is primarily driven by increasing digitalization across the hospitality industry, coupled with rising consumer preference for online booking methods.



    One major growth factor for the hotel booking software market is the rising penetration of the internet and smartphones. With more people having access to online platforms, the demand for seamless, efficient hotel booking processes has increased. This has led to the widespread adoption of hotel booking software, which offers features like real-time availability, instant booking confirmation, and the ability to compare prices and amenities. The convenience offered by these software solutions is a significant driver of market growth.



    Moreover, the ongoing trend towards personalization in the travel and hospitality industry is another crucial growth factor. Consumers today expect more tailored travel experiences, and hotel booking software can help meet these expectations by offering customized booking options, loyalty programs, and personalized recommendations. Advanced features like artificial intelligence and machine learning are being integrated into these systems to analyze user data and provide a more personalized booking experience, thereby boosting market growth.



    Another significant growth factor is the increasing emphasis on operational efficiency within the hospitality industry. Hotel booking software automates various processes, such as room availability management, pricing strategy, and customer relationship management, thus reducing manual errors and freeing up staff to focus on enhancing the guest experience. These efficiencies are particularly attractive to hotel chains and large enterprises, which deal with high volumes of bookings and require sophisticated management tools.



    Regionally, North America is expected to dominate the hotel booking software market due to the high adoption rate of advanced technologies and the presence of major market players. The region's well-established tourism industry and consumers' preference for online booking methods contribute to this dominance. Meanwhile, the Asia Pacific region is projected to experience the highest growth rate, driven by increasing internet penetration, a growing middle class with disposable income for travel, and a burgeoning tourism industry.



    The rise of Vacation Rental Software is another trend shaping the hospitality industry. This software provides property owners and managers with tools to streamline operations, manage bookings, and enhance guest experiences. With the increasing popularity of vacation rentals as an alternative to traditional hotel accommodations, the demand for specialized software solutions has grown. Vacation Rental Software offers features such as automated booking management, dynamic pricing, and integration with popular online travel agencies. These capabilities enable property managers to optimize occupancy rates, improve revenue management, and deliver personalized services to guests, thereby contributing to the overall growth of the hospitality software market.



    Deployment Type Analysis


    In terms of deployment type, hotel booking software is categorized into cloud-based and on-premises solutions. Cloud-based solutions are anticipated to experience significant growth, primarily due to their scalability, flexibility, and cost-effectiveness. These solutions eliminate the need for substantial upfront investments in hardware and infrastructure, making them particularly attractive to small and medium-sized enterprises (SMEs). The ability to access the software from any location with an internet connection also enhances the operational efficiency and responsiveness of hotel management.



    On-premises solutions, while less favored in recent years due to the high costs associated with maintenance and upgrades, continue to hold a significant market share, particularly among large enterprises with specific security and compliance requirements. These organizations often prefer having complete control over their data and infrastructure, which on-premises solutions provide. Additionally, for properties located in areas with unreliable internet connectivity, on-premises solutions offer a more stable alternative.

    <br

  15. c

    Hotel market size was $784.82 Billion in 2023!

    • cognitivemarketresearch.com
    pdf,excel,csv,ppt
    Updated Jun 15, 2024
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    Cognitive Market Research (2024). Hotel market size was $784.82 Billion in 2023! [Dataset]. https://www.cognitivemarketresearch.com/hotel-market-report
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Jun 15, 2024
    Dataset authored and provided by
    Cognitive Market Research
    License

    https://www.cognitivemarketresearch.com/privacy-policyhttps://www.cognitivemarketresearch.com/privacy-policy

    Time period covered
    2021 - 2033
    Area covered
    Global
    Description

    As per Cognitive Market Research's latest published report, the Global Hotel market size was $XX Billion in 2024 and it is forecasted to reach $1,126.04 Billion by 2030. Hotel Industry's Compound Annual Growth Rate will be 5.29% from 2023 to 2030.

    North America held largest share of XX% in the year 2024 
    Europe held share of XX% in the year 2024 
    Asia-Pacific held significant share of XX% in the year 2024 
    South America held significant share of XX% in the year 2024
    Middle East and Africa held significant share of XX% in the year 2024 
    

    Market Dynamics: Key Drivers

    The growing hospitality industry has resulted in a rising number of restaurants and driving the market for Hotels

    The growing hospitality industry, particularly the rising number of restaurants, is a significant driver for the hotel market, creating a symbiotic relationship where the success of one often fuels the growth of the other. Hotels with diverse and high-quality in-house dining options offer immense convenience to guests. Travelers, whether on business or leisure, appreciate not having to leave the hotel premises to find a good meal. A wide range of dining choices caters to different tastes and dietary needs, making the hotel more attractive.

    Additionally, beyond overnight guests, excellent restaurants attract residents, drawing foot traffic to the hotel. This creates a vibrant atmosphere and can position the hotel as a culinary destination, even for those not staying there. This "staycation" trend or local patronage contributes to the hotel's overall revenue and brand visibility. The concept of a "staycation" involves locals opting for a short, leisure break in their own city or a nearby area, often seeking a blend of relaxation and indulgence. Hotels with strong F&B offerings are perfectly positioned to capture this market. Locals might book an overnight stay simply to enjoy the hotel's spa, pool, and, crucially, its high-quality restaurants and bars without the hassle of long-distance travel. This trend surged during the pandemic and has since solidified as a preferred leisure activity.

    https://www.digigoyatra.com/blog/why-staycations-are-becoming-the-new-travel-trend-in-india

    Market Restraint

    The intensifying competition in the industry hinders the growth of the Hotel Market

    The market is highly competitive, not only among traditional hotel chains, independent, boutique, but also increasingly with the rise of short-term rental platforms, like Airbnb. These alternatives offer diverse experiences and price points, putting pressure on traditional hotels. This has led to higher consumer expectations than ever for personalized experiences, seamless technology, exceptional service, and value for money, forcing businesses to constantly innovate and invest.

    Moreover, to cater to the needs of a wide range of customers, large hotel chains constantly launch new sub-brands for instance, Marriott has launched numerous brands like Moxy, Element, and Autograph Collection to target increasingly niche traveler segments. This means more options for consumers within the same loyalty program, but also more direct competition for individual hotel properties.

    In conclusion, intensifying competition, fueled by the rise of alternative accommodations, ever-increasing guest expectations, and pervasive price transparency, is a formidable restraint on the hospitality market. It forces hotels to constantly evolve, invest, and differentiate themselves not just on price, but crucially, on the quality of the experience they deliver. Introduction to the Hotel Market

    Hotels have existed since very ancient times to serve merchants and other travelers. A hotel is a managed building or establishment that provides guests with a place to stay overnight, on a short-term basis, in exchange for money. The precise features and services provided to guests can vary quite drastically from one hotel to another.

    The growth of the global hotel industry is primarily attributed to a strong resurgence in both leisure and business travel post-pandemic, fueled by rising global disposable incomes and a burgeoning middle class, particularly in emerging economies. This increased affluence and a desire for experiences lead to higher demand for diverse accommodation types, from luxury hotels to boutique stays and short-term rentals.

    https://www.revfine.com/hotel-industry/ ...

  16. S

    Hotel

    • data.sanjoseca.gov
    • gisdata-csj.opendata.arcgis.com
    Updated Apr 28, 2025
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    Enterprise GIS (2025). Hotel [Dataset]. https://data.sanjoseca.gov/dataset/hotel
    Explore at:
    csv, kml, arcgis geoservices rest api, html, geojson, zipAvailable download formats
    Dataset updated
    Apr 28, 2025
    Dataset provided by
    City of San José
    Authors
    Enterprise GIS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Representations of hotels in San Jose, CA.

    Data is published on Mondays on a weekly basis.

  17. m

    Luxury Hotel Market Size & Trends - Industry Statistics

    • mordorintelligence.com
    pdf,excel,csv,ppt
    Updated Jun 20, 2025
    + more versions
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    Mordor Intelligence (2025). Luxury Hotel Market Size & Trends - Industry Statistics [Dataset]. https://www.mordorintelligence.com/industry-reports/luxury-hotel-market
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    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Jun 20, 2025
    Dataset authored and provided by
    Mordor Intelligence
    License

    https://www.mordorintelligence.com/privacy-policyhttps://www.mordorintelligence.com/privacy-policy

    Time period covered
    2020 - 2030
    Area covered
    Global
    Description

    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).

  18. t

    Hotel And Other Travel Accommodation Global Market Report 2025

    • thebusinessresearchcompany.com
    pdf,excel,csv,ppt
    Updated Jan 10, 2025
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    The Business Research Company (2025). Hotel And Other Travel Accommodation Global Market Report 2025 [Dataset]. https://www.thebusinessresearchcompany.com/report/hotel-and-other-travel-accommodation-global-market-report
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Jan 10, 2025
    Dataset authored and provided by
    The Business Research Company
    License

    https://www.thebusinessresearchcompany.com/privacy-policyhttps://www.thebusinessresearchcompany.com/privacy-policy

    Description

    Global Hotel And Other Travel Accommodation market size is expected to reach $1806.58 billion by 2029 at 6.7%, segmented as by type, hotel and motel, casino hotels, bed and breakfast accommodation, all other traveler accommodation

  19. Hotel Booking Engine Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Oct 5, 2024
    + more versions
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    Dataintelo (2024). Hotel Booking Engine Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/hotel-booking-engine-market
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    pptx, pdf, csvAvailable download formats
    Dataset updated
    Oct 5, 2024
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Hotel Booking Engine Market Outlook



    The global hotel booking engine market size was valued at approximately USD 3.5 billion in 2023 and is expected to grow to USD 7.8 billion by 2032, reflecting a compound annual growth rate (CAGR) of 9.2%. The market's growth is driven by the increasing adoption of digital platforms for travel bookings and the growing preference for online reservations among consumers. The ease of access and the convenience provided by hotel booking engines are key factors contributing to this rapid expansion.



    One of the primary growth factors for the hotel booking engine market is the proliferation of internet usage and the widespread adoption of smartphones. As more people gain access to high-speed internet and increasingly rely on their mobile devices for various daily activities, the trend towards online booking has surged. This has prompted hotels and travel agencies to invest in advanced booking engines to streamline their operations and enhance customer experiences. Furthermore, the convenience offered by these platforms, such as instant booking confirmations and secure payment options, has significantly bolstered their popularity.



    Another significant driver is the growing emphasis on customer experience and personalization in the hospitality industry. Modern consumers expect a seamless and customized booking experience, which has led to the integration of artificial intelligence (AI) and machine learning (ML) technologies into booking engines. These technologies analyze user behavior and preferences to provide personalized recommendations, thereby improving customer satisfaction and loyalty. Additionally, the incorporation of features like virtual tours and real-time room availability updates further enhances the user experience, driving market growth.



    The increasing competition among hotels and the need for a competitive edge have also fueled the adoption of advanced hotel booking engines. Hotels are leveraging these platforms to offer exclusive deals and personalized packages to attract and retain customers. The ability to manage bookings efficiently, optimize pricing strategies, and access valuable customer data for targeted marketing campaigns has made booking engines an indispensable tool for hoteliers. Moreover, the rising trend of direct bookings, which eliminates the need for intermediaries and reduces commission costs, further propels the market's expansion.



    From a regional perspective, North America dominates the hotel booking engine market due to its well-established hospitality sector and high internet penetration rates. The presence of major market players and the rapid adoption of advanced technologies in this region also contribute to its leading position. However, the Asia Pacific region is expected to witness the highest growth rate during the forecast period. The burgeoning middle class, increasing disposable incomes, and the rapid growth of the tourism industry in countries like China and India are key factors driving the market in this region.



    Deployment Type Analysis



    The hotel booking engine market can be segmented by deployment type into cloud-based and on-premises solutions. Cloud-based booking engines have gained significant traction in recent years due to their flexibility, scalability, and cost-effectiveness. These solutions allow hotels to access their booking systems from anywhere with an internet connection, making it easier to manage reservations and update availability in real-time. Additionally, cloud-based systems often come with lower upfront costs and require less maintenance, which is particularly beneficial for small to medium-sized hotels with limited IT resources.



    On the other hand, on-premises booking engines are still preferred by some larger hotel chains and establishments with specific security and customization requirements. These systems are installed directly on the hotel's servers, providing greater control over data and system configurations. While on-premises solutions typically involve higher initial investments and ongoing maintenance costs, they offer enhanced data security and the ability to tailor the system to the hotel's unique needs. This segment continues to hold a significant share of the market, particularly among luxury and high-end hotels that prioritize data privacy and bespoke functionality.



    The growing preference for cloud-based solutions is also driven by the increasing adoption of Software-as-a-Service (SaaS) models in the hospitality industry. SaaS-based booking engines offer a subscription-based pricing struct

  20. d

    Hotels

    • catalog.data.gov
    • opendata.dc.gov
    • +3more
    Updated Feb 4, 2025
    + more versions
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    Office of the Chief Technology Officer (2025). Hotels [Dataset]. https://catalog.data.gov/dataset/hotels
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    Dataset updated
    Feb 4, 2025
    Dataset provided by
    Office of the Chief Technology Officer
    Description

    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.

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Ashkan Farhangi; Arthur Huang; Zhishan Guo (2022). Hotel Dataset [Dataset]. https://paperswithcode.com/dataset/hotel-sales

Hotel Dataset

Hospitality > Tourism > Hotel Demand/Sales

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Dataset updated
Mar 7, 2022
Authors
Ashkan Farhangi; Arthur Huang; Zhishan Guo
Description

The dataset contains the hotel demand and revenue of 8 major tourist destinations in the US (e.g., Los Angeles, Orlando ...). The dataset contains sales, daily occupancy, demand, and revenue of the upper-middle class hotels.

We also gathered dynamic exogenous variables such as the state’s closure/open policy to enrich our dataset. Specifically, we gathered numerious static features such as the number of hospitals, GPD, and population.

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