100+ datasets found
  1. Monthly hotel occupancy rates worldwide 2020-2024, by region

    • statista.com
    Updated Jul 4, 2024
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    Statista Research Department (2024). Monthly hotel occupancy rates worldwide 2020-2024, by region [Dataset]. https://www.statista.com/topics/1102/hotels/
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    Dataset updated
    Jul 4, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Description

    In May 2024, the region with the highest hotel occupancy rate worldwide was Europe, at 73 percent, showing a one percent increase over the previous year. Meanwhile, the lower occupancy rates across the board in 2020 and 2021 were due to the impact of the coronavirus (COVID-19) pandemic on the hotel industry.

  2. D

    Hotel Digital Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Hotel Digital Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-hotel-digital-market
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    pptx, csv, 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 Digital Market Outlook



    The global hotel digital market size was estimated to reach USD 12.5 billion in 2023, with a projected compound annual growth rate (CAGR) of 9.8%, poised to escalate this figure to approximately USD 27.1 billion by 2032. This impressive growth trajectory is driven by the increasing adoption of digital solutions in the hospitality industry, aimed at enhancing operational efficiency and guest experience. The convergence of technological advancements such as artificial intelligence, IoT, and big data analytics with traditional hospitality services is significantly reshaping the landscape, offering a plethora of opportunities for market participants to harness these innovations for competitive advantage.



    One of the primary growth factors within the hotel digital market is the rising demand for personalized guest experiences. As travelers increasingly seek unique and tailored experiences, hotels are leveraging digital tools to offer personalized services and recommendations. Digital platforms enable hotels to gather and analyze guest data, preferences, and feedback, which in turn facilitates the customization of services, amenities, and communication. This personalized approach not only enhances guest satisfaction and loyalty but also boosts revenue generation by driving repeat business and positive word-of-mouth referrals. Moreover, the integration of AI-driven chatbots and virtual assistants has become a staple in modern hotels, offering seamless and instant guest interactions while reducing operational costs.



    Another crucial driver of market growth is the need for efficient booking and revenue management systems. As the hotel industry becomes increasingly competitive, the ability to optimize pricing strategies and manage bookings effectively is paramount. Advanced digital platforms that utilize machine learning algorithms can analyze vast datasets to predict demand fluctuations, optimize pricing, and maximize occupancy rates. These systems allow hotels to adjust their strategies in real-time, ensuring that they capture the optimal market share at any given time. Additionally, digital marketing and advertising tools have become indispensable in reaching and engaging potential guests, providing hotels with innovative ways to target and convert audiences through social media, search engines, and online travel platforms.



    The proliferation of cloud-based solutions is another significant factor contributing to the market's expansion. Cloud technology offers hotels the flexibility to scale their operations, reduce IT infrastructure costs, and enhance data security. With cloud deployment, hotels can streamline their operations, improve data accessibility, and facilitate collaboration across different departments and locations. This not only improves operational efficiency but also supports the adoption of emerging technologies like IoT and big data analytics. As more hotels transition from on-premises systems to cloud-based solutions, the demand for digital services and software in the hospitality sector continues to grow.



    Regionally, the North American market holds a significant share due to its early adoption of digital technologies and a robust infrastructure. However, the Asia Pacific region is anticipated to exhibit the highest growth rate over the forecast period, driven by the burgeoning hospitality industry and increasing investments in technology. The region's rapid economic growth, coupled with a rising middle class and increasing tourism, creates a fertile ground for the adoption of hotel digital solutions. Meanwhile, Europe remains a key market, fueled by a strong tourism industry and a focus on sustainability and innovation in hospitality practices.



    In the realm of hotel security, the evolution of the Hotel Lock system has become a pivotal aspect of the digital transformation journey. Modern hotel locks are no longer just about securing rooms; they are integral to enhancing the guest experience through seamless access and personalized service. These advanced systems often integrate with mobile apps, allowing guests to unlock their rooms using their smartphones, thereby eliminating the need for traditional key cards. This not only enhances convenience but also aligns with the growing demand for contactless solutions in the hospitality industry. Furthermore, hotel locks equipped with IoT capabilities can provide real-time data on room occupancy and security status, enabling hotel staff to respond promptly to any issues. As security concerns continue to rise, the adoption of sophisticated hotel

  3. o

    Data from: Hotel statistics

    • data.ontario.ca
    web, xlsx
    Updated Jul 29, 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(32484), 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), xlsx(32404)Available download formats
    Dataset updated
    Jul 29, 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.

  4. Key data on the casino hotel industry in the U.S. 2024

    • statista.com
    Updated Jun 25, 2025
    + more versions
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    Statista (2025). Key data on the casino hotel industry in the U.S. 2024 [Dataset]. https://www.statista.com/statistics/1174152/casino-hotels-industry-market-size-us/
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    Dataset updated
    Jun 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

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

  5. I

    India IHIS: Average Length of Stay: Chain Affiliated Hotels: Foreign

    • ceicdata.com
    + more versions
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    CEICdata.com, India IHIS: Average Length of Stay: Chain Affiliated Hotels: Foreign [Dataset]. https://www.ceicdata.com/en/india/indian-hotel-industry-survey-average-length-of-stay/ihis-average-length-of-stay-chain-affiliated-hotels-foreign
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    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Mar 1, 2007 - Mar 1, 2018
    Area covered
    India
    Variables measured
    Accomodation Statistics
    Description

    India IHIS: Average Length of Stay: Chain Affiliated Hotels: Foreign data was reported at 3.200 Day in 2018. This records a decrease from the previous number of 4.500 Day for 2017. India IHIS: Average Length of Stay: Chain Affiliated Hotels: Foreign data is updated yearly, averaging 2.550 Day from Mar 2001 (Median) to 2018, with 18 observations. The data reached an all-time high of 4.500 Day in 2017 and a record low of 2.100 Day in 2012. India IHIS: Average Length of Stay: Chain Affiliated Hotels: Foreign data remains active status in CEIC and is reported by Federation of Hotel & Restaurant Associations of India. The data is categorized under India Premium Database’s Hotel Sector – Table IN.QHC001: Indian Hotel Industry Survey: Average Length of Stay.

  6. I

    India IHIS: Average Hotel Occupancy Rate: Independent Hotels

    • ceicdata.com
    + more versions
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    CEICdata.com, India IHIS: Average Hotel Occupancy Rate: Independent Hotels [Dataset]. https://www.ceicdata.com/en/india/indian-hotel-industry-survey-average-hotel-occupancy-rate/ihis-average-hotel-occupancy-rate-independent-hotels
    Explore at:
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Mar 1, 2006 - Mar 1, 2017
    Area covered
    India
    Variables measured
    Accomodation Statistics
    Description

    India IHIS: Average Hotel Occupancy Rate: Independent Hotels data was reported at 60.200 % in 2017. This records a decrease from the previous number of 61.200 % for 2016. India IHIS: Average Hotel Occupancy Rate: Independent Hotels data is updated yearly, averaging 60.400 % from Mar 2001 (Median) to 2017, with 17 observations. The data reached an all-time high of 69.200 % in 2008 and a record low of 54.400 % in 2002. India IHIS: Average Hotel Occupancy Rate: Independent Hotels data remains active status in CEIC and is reported by Federation of Hotel & Restaurant Associations of India. The data is categorized under India Premium Database’s Hotel Sector – Table IN.QHC002: Indian Hotel Industry Survey: Average Hotel Occupancy Rate.

  7. 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).

  8. I

    India IHIS: Percentage of Repeat Hotel Guests: Independent Hotels

    • ceicdata.com
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    CEICdata.com, India IHIS: Percentage of Repeat Hotel Guests: Independent Hotels [Dataset]. https://www.ceicdata.com/en/india/indian-hotel-industry-survey-percentage-of-repeat-hotel-guests/ihis-percentage-of-repeat-hotel-guests-independent-hotels
    Explore at:
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Mar 1, 2007 - Mar 1, 2018
    Area covered
    India
    Variables measured
    Accomodation Statistics
    Description

    India IHIS: Percentage of Repeat Hotel Guests: Independent Hotels data was reported at 42.800 % in 2018. This records a decrease from the previous number of 45.000 % for 2017. India IHIS: Percentage of Repeat Hotel Guests: Independent Hotels data is updated yearly, averaging 47.300 % from Mar 2001 (Median) to 2018, with 18 observations. The data reached an all-time high of 50.400 % in 2005 and a record low of 42.800 % in 2018. India IHIS: Percentage of Repeat Hotel Guests: Independent Hotels data remains active status in CEIC and is reported by Federation of Hotel & Restaurant Associations of India. The data is categorized under India Premium Database’s Hotel Sector – Table IN.QHB016: Indian Hotel Industry Survey: Percentage of Repeat Hotel Guests.

  9. v

    Global Hotel Industry buyers list and Global importers directory of Hotel...

    • volza.com
    csv
    Updated Jun 8, 2025
    + more versions
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    Volza FZ LLC (2025). Global Hotel Industry buyers list and Global importers directory of Hotel Industry [Dataset]. https://www.volza.com/p/hotel-industry/buyers/
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jun 8, 2025
    Dataset authored and provided by
    Volza FZ LLC
    License

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

    Variables measured
    Count of exporters, Count of importers, Count of shipments, Sum of import value, 2014-01-01/2021-09-30
    Description

    42 Active Global Hotel Industry buyers list and Global Hotel Industry importers directory compiled from actual Global import shipments of Hotel Industry.

  10. b

    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
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    .json, .csv, .xlsxAvailable download formats
    Dataset updated
    May 7, 2024
    Dataset authored and provided by
    Bright Data
    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.

  11. H

    Hotel Industry Intelligence Software Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Aug 2, 2025
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    Archive Market Research (2025). Hotel Industry Intelligence Software Report [Dataset]. https://www.archivemarketresearch.com/reports/hotel-industry-intelligence-software-558463
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    pdf, ppt, docAvailable download formats
    Dataset updated
    Aug 2, 2025
    Dataset authored and provided by
    Archive Market Research
    License

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

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The Hotel Industry Intelligence Software market is experiencing robust growth, driven by the increasing need for data-driven decision-making within the hospitality sector. This market is projected to reach a value of $2.5 billion in 2025, exhibiting a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033. This significant expansion is fueled by several key factors. The rise of big data and advanced analytics empowers hoteliers to optimize pricing strategies, personalize guest experiences, and improve operational efficiency. Furthermore, the proliferation of online travel agencies (OTAs) and the intensifying competition within the hospitality industry necessitate the use of sophisticated software solutions to gain a competitive edge. Trends like cloud-based deployments, integration with revenue management systems, and the incorporation of AI-powered predictive analytics are further shaping the market landscape. However, challenges such as the high initial investment costs of these systems and the need for specialized technical expertise can act as potential restraints to broader adoption. The market segmentation reflects the diverse needs of various hotel chains and independent properties. Key players such as Duetto, RateGain, HotStats, M3, Octorate, RateMate, Travolutionary, FastBooking, Ratemetrics, Intelligent Hospitality, and OTA Insight are actively contributing to the market's growth through continuous innovation and expansion of their product offerings. The geographical distribution of the market is expected to be influenced by factors such as the concentration of hotels, the level of technological adoption, and the economic growth in different regions. The forecast period from 2025 to 2033 indicates substantial growth potential, driven by ongoing technological advancements and the increasing reliance of hotels on data-driven strategies for enhanced profitability and guest satisfaction.

  12. m

    Data from: Las Vegas Strip

    • data.mendeley.com
    Updated Jul 29, 2017
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    Sérgio Moro (2017). Las Vegas Strip [Dataset]. http://doi.org/10.17632/tsf9sjdwh2.1
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    Dataset updated
    Jul 29, 2017
    Authors
    Sérgio Moro
    License

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

    Area covered
    Las Vegas, Las Vegas Strip
    Description

    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.

  13. F

    Producer Price Index by Industry: Hotels and Motels, Except Casino Hotels

    • fred.stlouisfed.org
    json
    Updated Aug 14, 2025
    + more versions
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    (2025). Producer Price Index by Industry: Hotels and Motels, Except Casino Hotels [Dataset]. https://fred.stlouisfed.org/series/PCU721110721110
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Aug 14, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

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

  14. Luxury Hotel Market Analysis, Size, and Forecast 2025-2029: North America...

    • technavio.com
    pdf
    Updated Jul 8, 2025
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    Technavio (2025). Luxury Hotel Market Analysis, Size, and Forecast 2025-2029: North America (US and Canada), Europe (France, Germany, Italy, Spain, and UK), APAC (China, India, and Japan), and Rest of World (ROW) [Dataset]. https://www.technavio.com/report/luxury-hotel-market-analysis
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Jul 8, 2025
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2025 - 2029
    Area covered
    France, Canada, Spain, Japan, United States, United Kingdom, Europe, Germany, Italy
    Description

    Snapshot img

    Luxury Hotel Market Size 2025-2029

    The luxury hotel market size is forecast to increase by USD 79.2 billion at a CAGR of 5.8% between 2024 and 2029.

    The market is experiencing significant growth, driven by the increasing disposable income of guests and the wider acceptance of online booking platforms. These factors have expanded the market's reach, enabling luxury hotels to attract a larger customer base. However, the high cost associated with luxury hotels poses a challenge for both hoteliers and consumers. Despite this, opportunities exist for hotels to differentiate themselves through exceptional service, unique amenities, and personalized experiences. With corporate industries expanding their reach and influence, the demand for high-end accommodations for business travel and corporate events has rised.
    To capitalize on these opportunities, hotels must effectively manage their operational costs, optimize their online presence, and cater to the evolving preferences of luxury travelers. By focusing on these areas, luxury hotels can navigate the competitive landscape and maintain their market position. Moreover, integrated hotel sustainability measures, from energy-efficient designs to waste reduction programs, align luxury with responsibility. The integration of advanced automation solutions has transformed the hospitality industry.
    

    What will be the Size of the Luxury Hotel Market during the forecast period?

    Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
    Request Free Sample

    In the market, green hotel certifications have gained prominence as travelers prioritize sustainability. Hoteliers invest in brand experience management to differentiate their offerings, while staff communication tools enhance guest services. Guest satisfaction metrics and digital marketing strategies are crucial for hotel revenue forecasting and booking conversion. Big data analytics fuel targeted marketing efforts on e-commerce platforms, reaching high-net-worth individuals and the affluent middle class. Hotel waste management and cost optimization are key areas of focus, with automated room service and staff productivity software streamlining operations. Hotel accessibility features and personalized guest services boost guest loyalty retention.

    Hotel sales management and customer segmentation tools enable targeted marketing efforts. Luxury brand positioning relies on exceptional guest experiences, with digital security protocols safeguarding guest data privacy. Hotel energy efficiency and sustainability measures not only reduce costs but also appeal to eco-conscious consumers. Overall, the market is dynamic, with a focus on innovation, guest experience, and operational efficiency. Another significant development is the higher acceptance of online booking platforms among consumers.

    How is this Luxury Hotel Industry segmented?

    The luxury hotel industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

    Type
    
      Upscale
      Upper-upscale
      Luxury
    
    
    Ownership
    
      Chain
      Independent
    
    
    Mode Of Booking
    
      Direct booking
      Online travel agencies
      Travel agents
    
    
    Geography
    
      North America
    
        US
        Canada
    
    
      Europe
    
        France
        Germany
        Italy
        Spain
        UK
    
    
      APAC
    
        China
        India
        Japan
    
    
      Rest of World (ROW)
    

    By Type Insights

    The Upscale segment is estimated to witness significant growth during the forecast period. Upscale hotels cater to travelers seeking a balance between affordability and premium services. These establishments provide a range of amenities, including on-site dining, concierge services, meeting facilities, fitness centers, and business centers. Three- and four-star hotels typically fall under this category. Swimming pools and private cruises offer relaxation and exclusivity. Families often choose upscale hotels for vacations due to the availability of children's play areas. Brands like Marriott, Radisson, and Hyatt represent the upscale hotel segment. High-end hospitality technology enhances the guest experience, with mobile check-in processes, digital key systems, and automated housekeeping streamlining operations. Hotel loyalty programs offer rewards and personalized services, while revenue management software optimizes pricing and occupancy.

    Customer feedback systems ensure continuous improvement, and property management systems facilitate efficient day-to-day operations. Luxury hotel amenities extend to high-speed internet access, sustainability initiatives, and in-room entertainment systems. Guest preference tracking and revenue optimization strategies cater to individual needs. Hotel marketing automation and online reputation manageme

  15. m

    Data from: Inside the Rating Scores: A Multilevel Analysis of the Factors...

    • data.mendeley.com
    • search.datacite.org
    Updated Nov 30, 2016
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    Tijana Radojevic (2016). Inside the Rating Scores: A Multilevel Analysis of the Factors Influencing Customer Satisfaction in the Hotel Industry [Dataset]. http://doi.org/10.17632/kwsrxshf9x.1
    Explore at:
    Dataset updated
    Nov 30, 2016
    Authors
    Tijana Radojevic
    License

    Attribution-NonCommercial 3.0 (CC BY-NC 3.0)https://creativecommons.org/licenses/by-nc/3.0/
    License information was derived automatically

    Description

    These data are used in a research study and may not be redistributed or used for commercial purposes.

    Feel free to use it for research purposes or to reproduce the results presented in the article.

    When referring to the data set in publications please cite the article as follows: Radojevic, T., Stanisic, N., & Stanic, N. (2016). Inside the Rating Scores: A Multilevel Analysis of the Factors Influencing Customer Satisfaction in the Hotel Industry. Cornell Hospitality Quarterly.

    You may also want to cite the data set: Radojevic, T., Stanisic, N., & Stanic, N. (2016), Inside the Rating Scores: A Multilevel Analysis of the Factors Influencing Customer Satisfaction in the Hotel Industry., Mendeley Data, v1 http://dx.doi.org/10.17632/kwsrxshf9x.1

    For a detailed description of the variables and their descriptive statistics, please read the article.

  16. p

    Hotel Management Schools in Texas, United States - 4 Verified Listings...

    • poidata.io
    csv, excel, json
    Updated Aug 17, 2025
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    Poidata.io (2025). Hotel Management Schools in Texas, United States - 4 Verified Listings Database [Dataset]. https://www.poidata.io/report/hotel-management-school/united-states/texas
    Explore at:
    excel, json, csvAvailable download formats
    Dataset updated
    Aug 17, 2025
    Dataset provided by
    Poidata.io
    Area covered
    Texas, United States
    Description

    Comprehensive dataset of 4 Hotel management schools in Texas, United States as of August, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

  17. Hotel And Hospitality Management Software Market Analysis, Size, and...

    • technavio.com
    pdf
    Updated May 24, 2025
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    Technavio (2025). Hotel And Hospitality Management Software Market Analysis, Size, and Forecast 2025-2029: North America (US and Canada), Europe (France, Italy, Spain, and UK), APAC (China, India, Japan, and South Korea), and Rest of World (ROW) [Dataset]. https://www.technavio.com/report/hotel-and-hospitality-management-software-market-size-industry-analysis
    Explore at:
    pdfAvailable download formats
    Dataset updated
    May 24, 2025
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2025 - 2029
    Area covered
    United States
    Description

    Snapshot img

    Hotel And Hospitality Management Software Market Size 2025-2029

    The hotel and hospitality management software market size is forecast to increase by USD 1.83 billion, at a CAGR of 7.3% between 2024 and 2029.

    The market is witnessing significant growth due to the reduction in overall operational costs in hospitality businesses. This trend is driven by the implementation of advanced software solutions that automate various operational tasks, leading to increased efficiency and cost savings. Another key driver is the rise in cloud integration in hotel and hospitality management systems. Cloud-based solutions offer flexibility, scalability, and easy accessibility, making them an attractive option for businesses seeking to streamline their operations. However, the market also faces challenges, including the complications in changeover from traditional systems. The transition to new software can be time-consuming and costly, requiring significant resources and training.
    Additionally, ensuring data security and privacy during the migration process is a major concern for hoteliers. To capitalize on market opportunities and navigate challenges effectively, companies must focus on providing seamless implementation and support services, as well as robust security features to address the concerns of potential clients.
    

    What will be the Size of the Hotel And Hospitality Management Software Market during the forecast period?

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    In the dynamic hotel and hospitality management market, cloud-based software solutions have gained significant traction, enabling real-time data access and workflow automation for improved hotel operations optimization. Employee empowerment through digital tools like voice recognition and mobile device management enhances productivity and efficiency. Hotel marketing strategies leverage customer journey mapping, personalized experience, and social media integration to engage guests and boost revenue. Virtual assistants and guest portals offer a seamless, convenient experience, while predictive analytics and yield management optimize revenue and distribution.
    Green technology integration and data visualization contribute to sustainable practices and informed decision-making. Hoteliers prioritize staff training and digital signage to ensure exceptional service and effective communication. Online check-in and mobile concierge services cater to guests' evolving preferences and expectations. Revenue optimization, guest journey optimization, and data privacy remain crucial aspects of hospitality industry standards.
    

    How is this Hotel And Hospitality Management Software Industry segmented?

    The hotel and hospitality management software industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

    Deployment
    
      Cloud-based
      On-premises
    
    
    Application
    
      Business hotels
      Heritage and boutique hotels
      Resorts and spas
    
    
    Service
    
      System and integration services
      Professional services
      Managed services
      Others
    
    
    Geography
    
      North America
    
        US
        Canada
    
    
      Europe
    
        France
        Italy
        Spain
        UK
    
    
      APAC
    
        China
        India
        Japan
        South Korea
    
    
      Rest of World (ROW)
    

    By Deployment Insights

    The cloud-based segment is estimated to witness significant growth during the forecast period. In the dynamic world of hotel and hospitality management, cloud-based solutions are revolutionizing the industry. These systems offer unparalleled flexibility, scalability, and accessibility, enabling businesses to optimize operations, boost efficiency, and elevate guest experiences. With cloud deployment, hoteliers and hospitality providers can manage their businesses from anywhere, ensuring real-time monitoring and remote control. Moreover, cloud-based solutions eliminate the need for expensive hardware investments and maintenance, making them a cost-effective choice for businesses of all sizes. Core hotel operations, such as front desk management, guest services, employee scheduling, reporting and analytics, machine learning, guest feedback, point of sale, revenue management, inventory management, channel management, property management, and more, are increasingly being digitized through cloud-based software.

    Additionally, advanced technologies like data analytics, business intelligence, artificial intelligence, marketing automation, and guest engagement are integrated into these solutions to provide a comprehensive, data-driven approach to hotel management. The hospitality industry, encompassing bed and breakfasts, luxury hotels, boutique hotels, vacation rentals, and chain hotels, is embracing these advancements to enhance customer satisfaction, streamline operations, and improve operational efficiency. Cloud-based hote

  18. p

    Hotel Management Schools in United States - 66 Verified Listings Database

    • poidata.io
    csv, excel, json
    Updated Jul 26, 2025
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    Poidata.io (2025). Hotel Management Schools in United States - 66 Verified Listings Database [Dataset]. https://www.poidata.io/report/hotel-management-school/united-states
    Explore at:
    csv, excel, jsonAvailable download formats
    Dataset updated
    Jul 26, 2025
    Dataset provided by
    Poidata.io
    Area covered
    United States
    Description

    Comprehensive dataset of 66 Hotel management schools in United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

  19. Hotel Reviews

    • kaggle.com
    Updated May 29, 2017
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    Datafiniti (2017). Hotel Reviews [Dataset]. https://www.kaggle.com/datasets/datafiniti/hotel-reviews/versions/1
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 29, 2017
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Datafiniti
    License

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Description

    About This Data

    This is a list of 1,000 hotels and their reviews provided by Datafiniti's Business Database. The dataset includes hotel location, name, rating, review data, title, username, and more.

    Note that this is a sample of a large data set. The full data set is available through Datafiniti.

    What You Can Do With This Data

    You can use this data to compare hotel reviews on a state-by-state basis; experiment with sentiment scoring and other natural language processing techniques. The review data lets you correlate keywords in the review text with ratings. E.g.:

    • What are the bottom and top states for hotel reviews by average rating?
    • What is the correlation between a state’s population and their number of hotel reviews?
    • What is the correlation between a state’s tourism budget and their number of hotel reviews?

    Data Schema

    A full schema for the data is available in our support documentation.

    About Datafiniti

    Datafiniti provides instant access to web data. We compile data from thousands of websites to create standardized databases of business, product, and property information. Learn more.

    Want More?

    You can get more data like this by joining Datafiniti or requesting a demo.

  20. p

    Hotel Management Schools in Oregon, United States - 2 Verified Listings...

    • poidata.io
    csv, excel, json
    Updated Jul 27, 2025
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    Poidata.io (2025). Hotel Management Schools in Oregon, United States - 2 Verified Listings Database [Dataset]. https://www.poidata.io/report/hotel-management-school/united-states/oregon
    Explore at:
    json, excel, csvAvailable download formats
    Dataset updated
    Jul 27, 2025
    Dataset provided by
    Poidata.io
    Area covered
    Oregon, United States
    Description

    Comprehensive dataset of 2 Hotel management schools in Oregon, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Share
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TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Statista Research Department (2024). Monthly hotel occupancy rates worldwide 2020-2024, by region [Dataset]. https://www.statista.com/topics/1102/hotels/
Organization logo

Monthly hotel occupancy rates worldwide 2020-2024, by region

Explore at:
45 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jul 4, 2024
Dataset provided by
Statistahttp://statista.com/
Authors
Statista Research Department
Description

In May 2024, the region with the highest hotel occupancy rate worldwide was Europe, at 73 percent, showing a one percent increase over the previous year. Meanwhile, the lower occupancy rates across the board in 2020 and 2021 were due to the impact of the coronavirus (COVID-19) pandemic on the hotel industry.

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