76 datasets found
  1. p

    Hotel Rooms in United Kingdom - 6 Verified Listings Database

    • poidata.io
    csv, excel, json
    Updated Jul 29, 2025
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    Poidata.io (2025). Hotel Rooms in United Kingdom - 6 Verified Listings Database [Dataset]. https://www.poidata.io/report/hotel-room/united-kingdom
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    excel, json, csvAvailable download formats
    Dataset updated
    Jul 29, 2025
    Dataset provided by
    Poidata.io
    Area covered
    United Kingdom
    Description

    Comprehensive dataset of 6 Hotel rooms in United Kingdom 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.

  2. p

    Resort Hotels in United Kingdom - 707 Verified Listings Database

    • poidata.io
    csv, excel, json
    Updated Aug 17, 2025
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    Poidata.io (2025). Resort Hotels in United Kingdom - 707 Verified Listings Database [Dataset]. https://www.poidata.io/report/resort-hotel/united-kingdom
    Explore at:
    csv, excel, jsonAvailable download formats
    Dataset updated
    Aug 17, 2025
    Dataset provided by
    Poidata.io
    Area covered
    United Kingdom
    Description

    Comprehensive dataset of 707 Resort hotels in United Kingdom 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.

  3. p

    Love Hotels in United Kingdom - 136 Verified Listings Database

    • poidata.io
    csv, excel, json
    Updated Aug 3, 2025
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    Poidata.io (2025). Love Hotels in United Kingdom - 136 Verified Listings Database [Dataset]. https://www.poidata.io/report/love-hotel/united-kingdom
    Explore at:
    excel, csv, jsonAvailable download formats
    Dataset updated
    Aug 3, 2025
    Dataset provided by
    Poidata.io
    Area covered
    United Kingdom
    Description

    Comprehensive dataset of 136 Love hotels in United Kingdom 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.

  4. p

    Hotel Supply Stores in United Kingdom - 155 Verified Listings Database

    • poidata.io
    csv, excel, json
    Updated Jul 26, 2025
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    Poidata.io (2025). Hotel Supply Stores in United Kingdom - 155 Verified Listings Database [Dataset]. https://www.poidata.io/report/hotel-supply-store/united-kingdom
    Explore at:
    csv, json, excelAvailable download formats
    Dataset updated
    Jul 26, 2025
    Dataset provided by
    Poidata.io
    Area covered
    United Kingdom
    Description

    Comprehensive dataset of 155 Hotel supply stores in United Kingdom 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.

  5. Most well-known hotel brands in the UK 2024

    • statista.com
    Updated Mar 6, 2025
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    Statista (2025). Most well-known hotel brands in the UK 2024 [Dataset]. https://www.statista.com/statistics/1343521/most-well-known-hotel-brands-in-the-uk/
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    Dataset updated
    Mar 6, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jun 2024 - Oct 2024
    Area covered
    United Kingdom
    Description

    Premier Inn is the most well-known hotel brand in the UK with a brand awareness score of 93 percent. The second spot on this list is shared between Holiday Inn and Travelodge as both are recognized by 89 percent of internet respondents in the United Kingdom.For this study, brand awareness was surveyed employing the concept of aided brand recognition, showing respondents both the brand's logo and the written brand name. Interested in more detailed results covering all brands of this ranking and many more? Explore GCS Brand Profiles. These statistics show results of the Brand KPI survey.

  6. 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
    License

    https://www.technavio.com/content/privacy-noticehttps://www.technavio.com/content/privacy-notice

    Time period covered
    2025 - 2029
    Area covered
    United States
    Description

    Snapshot img

    Hotel And Hospitality Management Software Market Size and Forecast 2025-2029

    The hotel and hospitality management software market size estimates the market to reach by USD 1.83 billion, at a CAGR of 7.3% between 2024 and 2029. APAC is expected to account for 35% of the growth contribution to the global market during this period. In 2019 the cloud-based segment was valued at USD 1.94 billion and has demonstrated steady growth since then.

    The market is witnessing significant growth, driven by the reduction in operational costs for hospitality businesses. The implementation of these software solutions streamlines operations, from reservations to billing, leading to increased efficiency and cost savings. Another key trend is the rise in cloud integration, enabling remote access and real-time data analysis. However, the market also faces challenges, including the complexity of changeover from traditional systems. Hotel and hospitality businesses must carefully evaluate the benefits and potential disruptions before transitioning to new software solutions. To capitalize on market opportunities, companies should focus on offering user-friendly, cost-effective, and customizable software, while providing robust support during implementation.
    Effective change management strategies and clear communication with stakeholders will be crucial for a successful transition.
    

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

    Request Free Sample

    The market continues to evolve, offering innovative solutions to enhance operational efficiency and optimize guest experiences across various sectors. Energy management systems enable hotels to reduce energy consumption and costs, while staff training modules ensure a skilled workforce. Channel management systems facilitate seamless distribution across multiple platforms, and loyalty program management retains repeat customers. Hotel operations software integrates multiple functions, including data analytics dashboards, mobile check-in systems, and customer relationship management. Housekeeping management streamlines tasks, and hotel distribution platforms expand reach. Inventory management systems optimize stock levels, and guest service management enhances communication and response times. Employee performance metrics monitor productivity, and reservation management software manages bookings effectively.

    Reporting and analytics provide valuable insights, and staff scheduling software streamlines labor planning. Revenue management tools maximize revenue, and guest relationship management fosters loyalty. Property management systems manage day-to-day operations, and guest communication platforms enhance engagement. Hotel security systems ensure guest safety, and financial management modules manage finances. Pricing optimization engines adjust rates based on demand, and customer feedback systems gather valuable insights. Maintenance request systems streamline maintenance requests, and online booking engines offer a convenient booking experience. Yield management software optimizes revenue, and hotel marketing automation targets promotions effectively. Digital key systems offer contactless check-in, and the market is expected to grow by over 10% annually.

    For instance, a large hotel chain implemented a mobile check-in system, resulting in a 25% increase in online bookings and a 15% decrease in check-in time. This demonstrates the significant impact software solutions can have on hotel operations.

    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 the market, cloud-based solutions are gaining significant traction due to their numerous advantages. These solutions provide greater flexibility, scalability, and accessibility, enabling businesses to streamline operations, boost efficiency, and elevate guest experiences. With cloud-based deployment, hoteliers and hospitality businesses can manage their operations from any location with an internet connection, ensuring real-time monitoring and remote management. Furthermo

  7. p

    Wellness Hotels in United Kingdom - 82 Verified Listings Database

    • poidata.io
    csv, excel, json
    Updated Jul 23, 2025
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    Poidata.io (2025). Wellness Hotels in United Kingdom - 82 Verified Listings Database [Dataset]. https://www.poidata.io/report/wellness-hotel/united-kingdom
    Explore at:
    csv, excel, jsonAvailable download formats
    Dataset updated
    Jul 23, 2025
    Dataset provided by
    Poidata.io
    Area covered
    United Kingdom
    Description

    Comprehensive dataset of 82 Wellness hotels in United Kingdom 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.

  8. 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
    United States, Japan, Spain, Europe, Canada, Germany, Italy, France, United Kingdom
    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 management maintain a

  9. Premier Inn hotels locations in UK

    • agenty.com
    csv
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    Agenty, Premier Inn hotels locations in UK [Dataset]. https://agenty.com/marketplace/stores/premier-inn-hotels-locations-in-uk
    Explore at:
    csvAvailable download formats
    Dataset provided by
    Agenty
    Time period covered
    2025
    Area covered
    United Kingdom
    Description

    Complete list of all 457 Premier Inn hotels POI locations in the UK with name, geo-coded address, city, email, phone number etc for download in CSV format or via the API.

  10. d

    Transactional E-receipt Data | Hotel, Travel, Hospitality

    • datarade.ai
    Updated Jun 19, 2024
    + more versions
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    Measurable AI (2024). Transactional E-receipt Data | Hotel, Travel, Hospitality [Dataset]. https://datarade.ai/data-products/transactional-e-receipt-data-hotel-travel-hospitality-measurable-ai
    Explore at:
    Dataset updated
    Jun 19, 2024
    Dataset authored and provided by
    Measurable AI
    Area covered
    Jordan, Sri Lanka, Nigeria, Belgium, Argentina, Korea (Republic of), United States of America, France, Tunisia, Germany
    Description

    Metrics that can be unearthed will be ones contained in the email booking invoice such as Hotel name, type of room, dates, check in and check out times, price paid, duration of stay. We can go back to 5 years of history.

    We also have cancellation emails.

    Any hotel vendor can be requested too. We will conduct a search in our database to see if it justifies a parser build to extract the data.

  11. p

    Hotel management schools Business Data for United Kingdom

    • poidata.io
    csv, json
    Updated Aug 29, 2025
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    Business Data Provider (2025). Hotel management schools Business Data for United Kingdom [Dataset]. https://www.poidata.io/report/hotel-management-school/united-kingdom
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Aug 29, 2025
    Dataset authored and provided by
    Business Data Provider
    License

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

    Time period covered
    2025
    Area covered
    United Kingdom
    Variables measured
    Website URL, Phone Number, Review Count, Business Name, Email Address, Business Hours, Customer Rating, Business Address, Business Categories, Geographic Coordinates
    Description

    Comprehensive dataset containing 29 verified Hotel management school businesses in United Kingdom with complete contact information, ratings, reviews, and location data.

  12. e

    Hotel performance and labour inputs in three large hotel chains - Dataset -...

    • b2find.eudat.eu
    Updated Oct 30, 2023
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    (2023). Hotel performance and labour inputs in three large hotel chains - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/cd579149-81c9-5e6e-85c6-55cea37d9a87
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    Dataset updated
    Oct 30, 2023
    Description

    The data collection covers data on the hotel performance (outputs) and the labour inputs for three large hotel chains in the UK and the Netherlands. The hotel performance variables mainly concern a hotel’s revenue and its financial productivity. The labour inputs variables mainly concern the number of workers and their working hours under different employment contracts. Flexibility of labour in terms of the shifts of working hours and inter-departmental transfer is also taken into consideration. The data are not only at the establishment level, but also at the departmental level for room service department and food and beverage departments. Each entry corresponds to an individual employee. The data collection is intended to be used for assessing and comparing hotels' labour productivity. This project analyses the extent to which labour productivity is determined by flexible work practices and the employment of international migrant workers in hotels, a relatively neglected but significant source of output and jobs. It also examines the extent to which there is a relationship between work flexibility and the employment of migrants, and how the interaction between these influences firm performance. In more general terms, the research contributes to the continuing debate about the performance of the UK economy, and its ‘productivity gap’. The project overcomes the limitations of secondary data by having privileged access to a unique data base for three large companies, with some 80 hotels in the UK and the Netherlands. This provides data not just at establishment level, or even at departmental level, but at individual employee level. Data is recorded on an hourly basis for different types of labour inputs (part time, contracted, seasonal etc.) over a continuous five year period. Outputs are measured in terms of both service outcomes (rooms occupied etc.) and financial terms. The availability of data for 2007-13 also allows analysis of how firms have responded to a changing operating environment through the economic crisis. The data are secondary data. They were extracted from a data base. The research team had privileged access to a unique data base through collaborating with Eproductive, a data management company in London. Eproductive is able to provide detailed data sets on labour inputs and outputs for some 80+ hotels that belong to 3 anonymous companies in the UK and the Netherlands. The data were accessed via SQL Anywhere 16, which connects the research team's workstation to Eproductive's data server. The data were extracted using structured query language (SQL). The variables in the data collection were determined through literature review and through regular meetings between the research team, senior personnel from Eproductive and corporate representatives from the three hotel chains.

  13. Accommodation QA scheme member database - Dataset - data.gov.uk

    • ckan.publishing.service.gov.uk
    Updated Aug 29, 2013
    + more versions
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    ckan.publishing.service.gov.uk (2013). Accommodation QA scheme member database - Dataset - data.gov.uk [Dataset]. https://ckan.publishing.service.gov.uk/dataset/accommodation-qa-scheme-member-database
    Explore at:
    Dataset updated
    Aug 29, 2013
    Dataset provided by
    CKANhttps://ckan.org/
    Description

    A database of members of the VisitEngland Accommodation QA scheme, with details of attraction name, address and assessment. Consumers can search for accommodation scheme members at http://www.visitor-guides.com. This site is owned by the publisher Hudsons - the visibility provided by this site is one of the membership benefits of the scheme

  14. d

    Grepsr| Trip Advisor Property Address and Reviews | Global Coverage with...

    • datarade.ai
    Updated Jan 1, 2023
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    Grepsr (2023). Grepsr| Trip Advisor Property Address and Reviews | Global Coverage with Custom and On-demand Datasets [Dataset]. https://datarade.ai/data-products/grepsr-trip-advisor-property-address-and-reviews-global-co-grepsr
    Explore at:
    .json, .csv, .xls, .txtAvailable download formats
    Dataset updated
    Jan 1, 2023
    Dataset authored and provided by
    Grepsr
    Area covered
    Greece, Cuba, Sao Tome and Principe, Turkey, Benin, Andorra, Myanmar, Croatia, Italy, Holy See
    Description

    A. Market Research and Analysis: Utilize the Tripadvisor dataset to conduct in-depth market research and analysis in the travel and hospitality industry. Identify emerging trends, popular destinations, and customer preferences. Gain a competitive edge by understanding your target audience's needs and expectations.

    B. Competitor Analysis: Compare and contrast your hotel or travel services with competitors on Tripadvisor. Analyze their ratings, customer reviews, and performance metrics to identify strengths and weaknesses. Use these insights to enhance your offerings and stand out in the market.

    C. Reputation Management: Monitor and manage your hotel's online reputation effectively. Track and analyze customer reviews and ratings on Tripadvisor to identify improvement areas and promptly address negative feedback. Positive reviews can be leveraged for marketing and branding purposes.

    D. Pricing and Revenue Optimization: Leverage the Tripadvisor dataset to analyze pricing strategies and revenue trends in the hospitality sector. Understand seasonal demand fluctuations, pricing patterns, and revenue optimization opportunities to maximize your hotel's profitability.

    E. Customer Sentiment Analysis: Conduct sentiment analysis on Tripadvisor reviews to gauge customer satisfaction and sentiment towards your hotel or travel service. Use this information to improve guest experiences, address pain points, and enhance overall customer satisfaction.

    F. Content Marketing and SEO: Create compelling content for your hotel or travel website based on the popular keywords, topics, and interests identified in the Tripadvisor dataset. Optimize your content to improve search engine rankings and attract more potential guests.

    G. Personalized Marketing Campaigns: Use the data to segment your target audience based on preferences, travel habits, and demographics. Develop personalized marketing campaigns that resonate with different customer segments, resulting in higher engagement and conversions.

    H. Investment and Expansion Decisions: Access historical and real-time data on hotel performance and market dynamics from Tripadvisor. Utilize this information to make data-driven investment decisions, identify potential areas for expansion, and assess the feasibility of new ventures.

    I. Predictive Analytics: Utilize the dataset to build predictive models that forecast future trends in the travel industry. Anticipate demand fluctuations, understand customer behavior, and make proactive decisions to stay ahead of the competition.

    J. Business Intelligence Dashboards: Create interactive and insightful dashboards that visualize key performance metrics from the Tripadvisor dataset. These dashboards can help executives and stakeholders get a quick overview of the hotel's performance and make data-driven decisions.

    Incorporating the Tripadvisor dataset into your business processes will enhance your understanding of the travel market, facilitate data-driven decision-making, and provide valuable insights to drive success in the competitive hospitality industry

  15. Accommodation Management Information System (Accommis) Database - Dataset -...

    • ckan.publishing.service.gov.uk
    Updated Nov 5, 2013
    + more versions
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    ckan.publishing.service.gov.uk (2013). Accommodation Management Information System (Accommis) Database - Dataset - data.gov.uk [Dataset]. https://ckan.publishing.service.gov.uk/dataset/accommodation-management-information-system-accommis-database_1
    Explore at:
    Dataset updated
    Nov 5, 2013
    Dataset provided by
    CKANhttps://ckan.org/
    Description

    Database holding data on HMRC & VOA properties including lease, minor occupiers, services, costs & environmental data. Used to manage HMRC's & VOA's estate, run and develop estates strategy and for reporting purposes. Updated: daily.

  16. I

    India IHIS: Percentage of Hotel Guest Arrivals: One-Star: United Kingdom

    • ceicdata.com
    Updated Mar 15, 2023
    + more versions
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    CEICdata.com (2023). India IHIS: Percentage of Hotel Guest Arrivals: One-Star: United Kingdom [Dataset]. https://www.ceicdata.com/en/india/indian-hotel-industry-survey-percentage-of-hotel-guest-arrivals-by-major-countries/ihis-percentage-of-hotel-guest-arrivals-onestar-united-kingdom
    Explore at:
    Dataset updated
    Mar 15, 2023
    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: Percentage of Hotel Guest Arrivals: One-Star: United Kingdom data was reported at 12.600 % in 2017. This records an increase from the previous number of 9.400 % for 2016. India IHIS: Percentage of Hotel Guest Arrivals: One-Star: United Kingdom data is updated yearly, averaging 12.400 % from Mar 2000 (Median) to 2017, with 18 observations. The data reached an all-time high of 18.200 % in 2000 and a record low of 9.400 % in 2016. India IHIS: Percentage of Hotel Guest Arrivals: One-Star: United Kingdom 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.QHB015: Indian Hotel Industry Survey: Percentage of Hotel Guest Arrivals: by Major Countries.

  17. d

    Airbnb Transactional E-receipt Data | Hotel, Travel, Hospitality

    • datarade.ai
    Updated Jun 20, 2024
    + more versions
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    Measurable AI (2024). Airbnb Transactional E-receipt Data | Hotel, Travel, Hospitality [Dataset]. https://datarade.ai/data-products/airbnb-transactional-e-receipt-data-hotel-travel-hospitality-measurable-ai
    Explore at:
    Dataset updated
    Jun 20, 2024
    Dataset authored and provided by
    Measurable AI
    Area covered
    Philippines, Sweden, India, Netherlands, Chile, Korea (Republic of), Venezuela (Bolivarian Republic of), Mexico, Singapore, Italy
    Description

    Metrics that can be unearthed will be ones contained in the email booking invoice such as Hotel name, type of room, dates, check in and check out times, price paid, duration of stay. We can go back to 5 years of history.

    We also have cancellation emails.

    Any hotel vendor can be requested too. We will conduct a search in our database to see if it justifies a parser build to extract the data.

    Please contact michelle@measurable.ai for a demo or more data samples.

  18. W

    Accommodation Database

    • cloud.csiss.gmu.edu
    • data.europa.eu
    • +1more
    Updated Dec 24, 2019
    + more versions
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    United Kingdom (2019). Accommodation Database [Dataset]. https://cloud.csiss.gmu.edu/uddi/dataset/accommodation-database
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    Dataset updated
    Dec 24, 2019
    Dataset provided by
    United Kingdom
    Description

    A register of accommodation bookings at RN Air Station Culdrose

  19. Leading hotel companies worldwide 2023, by number of guestrooms

    • statista.com
    Updated Jun 26, 2025
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    Statista (2025). Leading hotel companies worldwide 2023, by number of guestrooms [Dataset]. https://www.statista.com/statistics/197859/total-number-of-guestrooms-of-us-hotel-companies-worldwide/
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    Dataset updated
    Jun 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jun 2023
    Area covered
    Worldwide
    Description

    In 2023, Marriott International had roughly *** million guestrooms worldwide. This was nearly ******* more hotel rooms than top competitor Hilton that year. Other groups on the list included IHG Hotels and Resorts and Wyndham Hotels and Resorts. Leading hotel lodging companies While Marriott International had the highest number of guest rooms, the Wyndham Hotel Group accounted for the highest number of hotel properties worldwide in 2023, ranging from upscale to accommodation. That year, the company had over ***** properties across the globe. Other major hotel groups on this list included Marriott International and Choice Hotels International. What is the global revenue of Marriott? In 2023, the global revenue of Marriott International exceeded ** billion U.S. dollars. The hotel group encompasses thousands of hotels across several brands, such as St. Regis, JW Marriott, Sheraton, and SpringHill Suites. The highest number of Marriott international properties worldwide were located in North America in 2023. Meanwhile, the second-highest number of properties that year were located in Europe.

  20. National Accommodation Team Corporate Property List - Dataset - data.gov.uk

    • ckan.publishing.service.gov.uk
    Updated Sep 17, 2019
    + more versions
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    ckan.publishing.service.gov.uk (2019). National Accommodation Team Corporate Property List - Dataset - data.gov.uk [Dataset]. https://ckan.publishing.service.gov.uk/dataset/national-accommodation-team-corporate-property-list1
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    Dataset updated
    Sep 17, 2019
    Dataset provided by
    CKANhttps://ckan.org/
    Description

    Corporate Property list created for the National Accommodation Team. Attribution statement: © Environment Agency copyright and/or database right 2016. All rights reserved.

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Poidata.io (2025). Hotel Rooms in United Kingdom - 6 Verified Listings Database [Dataset]. https://www.poidata.io/report/hotel-room/united-kingdom

Hotel Rooms in United Kingdom - 6 Verified Listings Database

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excel, json, csvAvailable download formats
Dataset updated
Jul 29, 2025
Dataset provided by
Poidata.io
Area covered
United Kingdom
Description

Comprehensive dataset of 6 Hotel rooms in United Kingdom 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.

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