100+ datasets found
  1. F

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

    • fred.stlouisfed.org
    json
    Updated Sep 10, 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
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    jsonAvailable download formats
    Dataset updated
    Sep 10, 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 Aug 2025 about casino, hotel, PPI, industry, inflation, price index, indexes, price, and USA.

  2. Monthly hotel price index in Spain 2020-2024

    • statista.com
    • tokrwards.com
    Updated Jul 3, 2025
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    Statista (2025). Monthly hotel price index in Spain 2020-2024 [Dataset]. https://www.statista.com/statistics/749166/monthly-hotel-price-index-in-spain/
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    Dataset updated
    Jul 3, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2020 - Dec 2024
    Area covered
    Spain
    Description

    In 2024, the Hotel Price Index (HPI) in Spain reached a peak in May at over *** points, which was the highest HPI recorded since at least January 2020 and was above by *** percent versus the same month of the previous year.

  3. i

    Hotel Price Index (HPI): Coefficient of variation of the national overall...

    • ine.es
    csv, html, json +4
    Updated Sep 23, 2025
    + more versions
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    INE - Instituto Nacional de Estadística (2025). Hotel Price Index (HPI): Coefficient of variation of the national overall index [Dataset]. https://www.ine.es/jaxiT3/Tabla.htm?t=13874&L=1
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    txt, xlsx, text/pc-axis, html, csv, json, xlsAvailable download formats
    Dataset updated
    Sep 23, 2025
    Dataset authored and provided by
    INE - Instituto Nacional de Estadística
    License

    https://www.ine.es/aviso_legalhttps://www.ine.es/aviso_legal

    Time period covered
    Jan 1, 2014 - Aug 1, 2025
    Variables measured
    Category, Type of data, Price index and hotel income, Autonomous Communities and Cities
    Description

    Hotel Price Index: Hotel Price Index (HPI): Coefficient of variation of the national overall index. Monthly. National.

  4. USA hotels dataset from booking

    • crawlfeeds.com
    csv, zip
    Updated Oct 6, 2025
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    Crawl Feeds (2025). USA hotels dataset from booking [Dataset]. https://crawlfeeds.com/datasets/usa-hotels-dataset-from-booking
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    csv, zipAvailable download formats
    Dataset updated
    Oct 6, 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.

  5. Average cost of a hotel room around the world in 2010-11

    • statista.com
    Updated Sep 13, 2011
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    Statista (2011). Average cost of a hotel room around the world in 2010-11 [Dataset]. https://www.statista.com/statistics/186294/average-hotel-room-price-globally-in-2010/
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    Dataset updated
    Sep 13, 2011
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2010 - 2011
    Area covered
    World
    Description

    The graph depicts the average price of a hotel room in 2010 and 2011* around the world. In Europe, the average cost for a hotel room was 167.76 U.S. dollars.The Hotel Price Index (HPI) is based on bookings made on hotels.com. The prices shown are those actually paid by the customer. The sample set are about 110,000 properties in more than 18,000 global locations.

    Average hotel room prices - additional information

    In both 2010 and 2011, the Caribbean was the most expensive region in the world to for hotel stays, with an average hotel room price of 207.11 U.S. dollars in 2011. The Caribbean, located to the south east of North America and the Gulf of Mexico, includes many popular vacation destinations such as the Bahamas, Cuba, Barbados and the Dominican Republic. The region is well-known for its natural beauty and luxury resorts. In 2013, Soufriere, St. Lucia, was one of the most expensive destinations for U.S. travelers in terms of hotel costs, second only to Bora Bora in French Polynesia, where the average daily rate for a hotel was 770 U.S. dollars. Despite the cost, Caribbean cruises were the most popular vacations in the U.S. according to travel company Travel Leaders Group.

    A close neighbour of the Caribbean, North America saw the lowest average hotel price in 2010 and 2011. While low in comparison to other regions, the average daily rate of hotels in the U.S. has risen year-on-year since the global recession of 2009 and, in 2013, the U.S. hotel industry generated 163 billion U.S. dollars in revenue. The United States also has some expensive destinations of its own: the most expensive U.S. city for hotel rates in 2013 was Honolulu, Hawaii, with an average daily rate of 230 U.S. dollars. New York ranked second at 211 U.S. dollars a night.

    As well as being the region with the second highest average hotel price, hotels in Europe also charge the most for room service. Six out of ten of the most expensive cities in the world for hotel room service were located in Europe in 2014. Helsinki in Finland was the most expensive at just under 90 U.S. dollars.

  6. n

    Restaurants and Hotels Price Index

    • nationmaster.com
    Updated Dec 17, 2020
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    NationMaster (2020). Restaurants and Hotels Price Index [Dataset]. https://www.nationmaster.com/nmx/ranking/restaurants-and-hotels-price-index
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    Dataset updated
    Dec 17, 2020
    Dataset authored and provided by
    NationMaster
    License

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

    Time period covered
    2003 - 2019
    Area covered
    Cyprus, Finland, Netherlands, Norway, Spain, France, Hungary, Lithuania, Luxembourg, Estonia
    Description

    Switzerland Restaurants and Hotels Price Index jumped by 2.2% in 2019, compared to the previous year.

  7. S

    Spain Hotel Price Index: 2001=100: Basque Country

    • ceicdata.com
    Updated Jul 18, 2018
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    CEICdata.com (2018). Spain Hotel Price Index: 2001=100: Basque Country [Dataset]. https://www.ceicdata.com/en/spain/hotel-price-index
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    Dataset updated
    Jul 18, 2018
    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
    Jan 1, 2008 - Dec 1, 2008
    Area covered
    Spain
    Variables measured
    Accomodation Statistics
    Description

    Hotel Price Index: 2001=100: Basque Country data was reported at 108.500 2001=100 in Dec 2008. This records an increase from the previous number of 107.800 2001=100 for Nov 2008. Hotel Price Index: 2001=100: Basque Country data is updated monthly, averaging 108.850 2001=100 from Jan 2001 (Median) to Dec 2008, with 96 observations. The data reached an all-time high of 128.100 2001=100 in Aug 2008 and a record low of 101.500 2001=100 in Feb 2002. Hotel Price Index: 2001=100: Basque Country data remains active status in CEIC and is reported by National Statistics Institute. The data is categorized under Global Database’s Spain – Table ES.Q026: Hotel Price Index.

  8. D

    Hotel Price Parity Monitoring Market Research Report 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Sep 30, 2025
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    Dataintelo (2025). Hotel Price Parity Monitoring Market Research Report 2033 [Dataset]. https://dataintelo.com/report/hotel-price-parity-monitoring-market
    Explore at:
    pdf, csv, pptxAvailable download formats
    Dataset updated
    Sep 30, 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 Price Parity Monitoring Market Outlook



    According to our latest research, the global hotel price parity monitoring market size is valued at USD 1.12 billion in 2024 and is expected to reach USD 3.17 billion by 2033, expanding at a robust CAGR of 12.3% over the forecast period. This growth trajectory is primarily driven by the escalating demand for real-time pricing intelligence, the proliferation of online travel agencies (OTAs), and the increasing focus by hotels on optimizing revenue management strategies. The market’s expansion is further fueled by the digital transformation of the hospitality sector and the growing complexity of distribution channels worldwide.




    One of the central growth factors for the hotel price parity monitoring market is the intensifying competition among hotels and OTAs. As digital bookings become the norm, maintaining consistent pricing across various distribution platforms is critical for brand reputation and customer trust. Hotels are increasingly investing in advanced software and analytics tools to monitor and enforce price parity, preventing undercutting by third-party sellers. This trend is further accelerated by the rise of meta search engines and aggregators, which make price discrepancies instantly visible to consumers. As a result, the need for comprehensive price parity monitoring solutions has never been more pronounced, driving market growth across all regions.




    Another significant driver is the adoption of cloud-based solutions, which offer scalability, real-time data processing, and seamless integration with existing property management systems (PMS) and revenue management systems (RMS). Cloud deployment not only reduces infrastructure costs but also enables hotels to access critical pricing data from any location, thereby enhancing operational efficiency. Furthermore, the integration of artificial intelligence and machine learning into price parity monitoring platforms is enabling predictive analytics and dynamic pricing strategies, allowing hoteliers to respond swiftly to market changes and optimize their revenue streams. These technological advancements are expected to further propel the market in the coming years.




    The increasing globalization of the hospitality industry is also contributing to market expansion. As hotel chains and independent properties strive to attract international travelers, the complexity of managing pricing across multiple currencies, languages, and regional regulations becomes a formidable challenge. Price parity monitoring tools help hotels navigate these complexities by providing centralized dashboards, automated alerts, and comprehensive reporting features. This, in turn, ensures compliance with contractual agreements with OTAs and maintains a level playing field in diverse markets. The growing awareness among hoteliers regarding the financial implications of price disparities is expected to sustain the demand for these solutions throughout the forecast period.




    Regionally, North America leads the hotel price parity monitoring market, driven by the high penetration of digital booking platforms and the presence of major hotel chains. Europe follows closely, benefiting from a mature hospitality sector and stringent regulatory frameworks governing online pricing. The Asia Pacific region, meanwhile, is witnessing the fastest growth, fueled by rapid urbanization, increasing internet penetration, and the burgeoning travel and tourism industry. Latin America and the Middle East & Africa are also emerging as promising markets, supported by rising investments in hospitality infrastructure and the growing adoption of technology-driven revenue management practices.



    Component Analysis



    The component segment of the hotel price parity monitoring market is bifurcated into software and services. The software segment dominates the market, accounting for a significant share in 2024, owing to the widespread adoption of automated solutions that streamline the process of tracking, analyzing, and enforcing price parity across multiple distribution channels. These software tools are equipped with advanced features such as real-time rate comparison, customizable reporting, and integration with existing hotel management systems. The increasing complexity of online distribution networks has made manual monitoring impractical, further driving the demand for robust software solutions. As hotels and OTAs continue to expand their digital presence, the need

  9. Average daily rate of hotels in India FY 2016-2024

    • statista.com
    • tokrwards.com
    Updated May 19, 2025
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    Statista (2025). Average daily rate of hotels in India FY 2016-2024 [Dataset]. https://www.statista.com/statistics/206047/daily-rate-of-hotels-in-india-since-2000/
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    Dataset updated
    May 19, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    India
    Description

    The average daily rate of hotels in India was over 8,000 Indian rupees in fiscal year 2024. This was an increase compared to the previous year. The average daily rate for luxury hotels was the highest at 15,655 Indian rupees that same year. Community rest houses In India, community sleeping places have been present for centuries. These rest houses are called Dharamshalas, literally meaning “a spiritual dwelling”, that provide shelter for pilgrims and travelers during their journey. Most religious establishments have dedicated areas to provide free food and a place to rest within their premises. Established brands still popular The hospitality industry is changing at a fast pace with the rise of entrepreneurs and their new and innovative ideas for hotel spaces. Even with tough competition from OYO and Airbnb providing unique accommodations, some traditional hotels have retained their hold on the hotel market in India. Among the various hotel companies across India, The Indian Hotels Company, a subsidiary of the Tata Group conglomerate, was the most successful hotel company based on net sales in 2019. Some successful hotel brands owned by this company are Taj, Ginger, and Vivanta.

  10. D

    Hotel Price Intelligence Market Research Report 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Oct 1, 2025
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    Dataintelo (2025). Hotel Price Intelligence Market Research Report 2033 [Dataset]. https://dataintelo.com/report/hotel-price-intelligence-market
    Explore at:
    pdf, pptx, csvAvailable download formats
    Dataset updated
    Oct 1, 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 Price Intelligence Market Outlook



    According to our latest research, the global Hotel Price Intelligence market size reached USD 1.42 billion in 2024, with a robust CAGR of 12.8% projected from 2025 to 2033. This growth trajectory is expected to drive the market to USD 4.22 billion by 2033. The primary growth factor for the hotel price intelligence market is the increasing demand for dynamic pricing strategies and real-time data analytics to optimize room rates and maximize revenues in an intensely competitive hospitality sector worldwide.




    The hotel price intelligence market is witnessing significant expansion, propelled by the rapid adoption of advanced technologies such as artificial intelligence, machine learning, and big data analytics. These technologies empower hoteliers to analyze vast volumes of market data, competitor pricing, and consumer behavior in real-time, enabling them to make informed pricing decisions. As the hospitality industry becomes more digitized, the need for automated solutions that can efficiently monitor and adjust prices based on market trends and demand fluctuations becomes critical. This digital transformation is further fueled by the proliferation of online travel agencies (OTAs) and meta-search engines, which have intensified price transparency and competition, making price intelligence tools indispensable for hotels aiming to maintain profitability and market share.




    Another key growth driver is the shift in consumer booking behavior, with travelers increasingly relying on online platforms to compare hotel prices and seek the best deals. This heightened price sensitivity among consumers compels hotels to adopt sophisticated price intelligence solutions that provide actionable insights for competitive benchmarking and price optimization. The integration of hotel price intelligence systems with property management and revenue management systems streamlines decision-making processes, enhances operational efficiency, and ensures that hotels can respond swiftly to market changes. Furthermore, the rise of personalized guest experiences and loyalty programs necessitates granular pricing strategies, which are made possible through advanced price intelligence platforms.




    The ongoing recovery of the global tourism and travel sector post-pandemic is another influential factor driving the hotel price intelligence market forward. As travel restrictions ease and international mobility resumes, hotels are experiencing fluctuating demand patterns that require agile pricing strategies. Price intelligence solutions help hoteliers navigate these uncertainties by providing accurate demand forecasting and competitor analysis, allowing them to capitalize on peak periods and mitigate losses during low seasons. Additionally, the increasing penetration of cloud-based price intelligence platforms has lowered the barrier to entry for small and medium-sized hotels, democratizing access to cutting-edge pricing technologies and expanding the market’s user base.




    Regionally, North America and Europe remain at the forefront of market adoption, thanks to their mature hospitality sectors and strong presence of global hotel chains. However, the Asia Pacific region is emerging as a lucrative market, driven by rapid urbanization, growing tourism, and increasing investments in hospitality infrastructure. The Middle East & Africa and Latin America are also showing promising growth, supported by rising international arrivals and expanding hotel portfolios. The competitive landscape is marked by the presence of both established technology vendors and innovative startups, each contributing to the market’s dynamic evolution through continuous product development and strategic partnerships.



    Component Analysis



    The component segment of the hotel price intelligence market is broadly categorized into software and services. The software segment dominates the market, driven primarily by the growing adoption of advanced analytics platforms that offer real-time pricing insights, competitor benchmarking, and automated pricing recommendations. These software solutions are increasingly leveraging artificial intelligence and machine learning algorithms to deliver predictive analytics, enabling hoteliers to anticipate market trends and optimize their pricing strategies accordingly. The high degree of customization and integration capabilities offered by these platforms further enha

  11. Hotel price index Denpasar in Bali, Indonesia Q1 2020-Q4 2024

    • statista.com
    • tokrwards.com
    Updated Jun 25, 2025
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    Statista (2025). Hotel price index Denpasar in Bali, Indonesia Q1 2020-Q4 2024 [Dataset]. https://www.statista.com/statistics/1269796/indonesia-hotel-price-index-bali/
    Explore at:
    Dataset updated
    Jun 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Indonesia
    Description

    As of the fourth quarter of 2024, the hotel price index in Denpasar in Bali province, Indonesia stood at ******. This indicated a significant increase compared to the first quarter of the same year. As the tourism industry in Bali has recovered strongly post-pandemic, hotel prices in Denpasar have shown a steady upward trend.

  12. y

    UK Consumer Price Index: Hotels, Cafes and Restaurants

    • ycharts.com
    html
    Updated Sep 17, 2025
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    Office for National Statistics (2025). UK Consumer Price Index: Hotels, Cafes and Restaurants [Dataset]. https://ycharts.com/indicators/uk_consumer_price_index_hotels_cafes_and_restaurants
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Sep 17, 2025
    Dataset provided by
    YCharts
    Authors
    Office for National Statistics
    License

    https://www.ycharts.com/termshttps://www.ycharts.com/terms

    Time period covered
    Jan 31, 1988 - Aug 31, 2025
    Area covered
    United Kingdom
    Variables measured
    UK Consumer Price Index: Hotels, Cafes and Restaurants
    Description

    View monthly updates and historical trends for UK Consumer Price Index: Hotels, Cafes and Restaurants. from United Kingdom. Source: Office for National St…

  13. Luxury Hotel Market Size & Trends - Industry Statistics

    • mordorintelligence.com
    pdf,excel,csv,ppt
    Updated Sep 3, 2025
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    Mordor Intelligence (2025). Luxury Hotel Market Size & Trends - Industry Statistics [Dataset]. https://www.mordorintelligence.com/industry-reports/luxury-hotel-market
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Sep 3, 2025
    Dataset provided by
    Authors
    Mordor Intelligence
    License

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

    Time period covered
    2019 - 2030
    Area covered
    Global
    Description

    The Luxury Hotel Market Report Segments the Industry Into by Service Type (Business Hotels, Airport Hotels, and More), Room Type (Standard Luxury Room, Suites, and More), ]booking Channel (Direct Booking (Brand Website, Call Center), Online Travel Agencies (OTA), and More), and Geography (North America, South America, Europe, Asia-Pacific, and More). The Market Forecasts are Provided in Terms of Value (USD).

  14. F

    Consumer Price Index: Restaurants and Hotels (COICOP 11): Total for Spain

    • fred.stlouisfed.org
    json
    Updated Jan 12, 2024
    + more versions
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    (2024). Consumer Price Index: Restaurants and Hotels (COICOP 11): Total for Spain [Dataset]. https://fred.stlouisfed.org/series/ESPCP110000IXNBM
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jan 12, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Description

    Graph and download economic data for Consumer Price Index: Restaurants and Hotels (COICOP 11): Total for Spain (ESPCP110000IXNBM) from Jan 2002 to Nov 2023 about hotel, restaurant, Spain, CPI, price index, indexes, and price.

  15. v

    Global Hotel Rate Shopper Software Market Size By Deployment Model, By...

    • verifiedmarketresearch.com
    Updated Feb 15, 2024
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    VERIFIED MARKET RESEARCH (2024). Global Hotel Rate Shopper Software Market Size By Deployment Model, By End-User, By User Type, By Geographic Scope And Forecast [Dataset]. https://www.verifiedmarketresearch.com/product/hotel-rate-shopper-software-market/
    Explore at:
    Dataset updated
    Feb 15, 2024
    Dataset authored and provided by
    VERIFIED MARKET RESEARCH
    License

    https://www.verifiedmarketresearch.com/privacy-policy/https://www.verifiedmarketresearch.com/privacy-policy/

    Time period covered
    2024 - 2030
    Area covered
    Global
    Description

    Hotel Rate Shopper Software Market size was valued at USD 632.79 Million in 2023 and is projected to reach USD 3,250 Million by 2030, growing at a CAGR of 14.7 % during the forecast period 2024-2030.

    Global Hotel Rate Shopper Software Market Drivers

    The market drivers for the Hotel Rate Shopper Software Market can be influenced by various factors. These may include:

    The hospitality industry: The hospitality industry is becoming more competitive as more hotels and lodging options enter the market. As a result, hoteliers must adapt their pricing tactics to remain competitive. Rate shopper software can assist them in tracking and evaluating the prices of rival companies.

    Trends in Dynamic Pricing: The hotel sector has been using dynamic pricing techniques more and more, modifying rates according to demand, seasonality, and events, among other variables. Tools for rate shoppers help hotels price their rooms dynamically to maximise profits.

    Growing Online Travel Agencies (OTAs): As online booking sites and OTAs have become more common, hotel competition has increased. Hotels can monitor these firms' pricing tactics and modify their rates by using rate shopper software.

    Demand for Real-Time Data: In order to quickly and intelligently make decisions, hoteliers are looking for real-time data into rival pricing and market trends. Tools for rate shoppers that offer precise and fast data are needed to support pricing decisions.

  16. D

    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

  17. S

    Spain Hotel Price Index: 2001=100: Weekend

    • ceicdata.com
    Updated Jul 18, 2018
    + more versions
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    CEICdata.com (2018). Spain Hotel Price Index: 2001=100: Weekend [Dataset]. https://www.ceicdata.com/en/spain/hotel-price-index
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    Dataset updated
    Jul 18, 2018
    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
    Jan 1, 2007 - Dec 1, 2007
    Area covered
    Spain
    Variables measured
    Accomodation Statistics
    Description

    Hotel Price Index: 2001=100: Weekend data was reported at 110.200 2001=100 in Dec 2007. This records a decrease from the previous number of 111.800 2001=100 for Nov 2007. Hotel Price Index: 2001=100: Weekend data is updated monthly, averaging 107.900 2001=100 from Jan 2000 (Median) to Dec 2007, with 96 observations. The data reached an all-time high of 121.000 2001=100 in Aug 2001 and a record low of 90.170 2001=100 in Apr 2000. Hotel Price Index: 2001=100: Weekend data remains active status in CEIC and is reported by National Statistics Institute. The data is categorized under Global Database’s Spain – Table ES.Q026: Hotel Price Index.

  18. D

    Hotel Reservation Service Market Report | Global Forecast From 2025 To 2033

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



    The global hotel reservation service market size was valued at approximately USD 45 billion in 2023 and is expected to reach around USD 75 billion by 2032, growing at a CAGR of 5.5% during the forecast period. The growth of the hotel reservation service market is primarily driven by the increasing penetration of the internet and the rising number of international and domestic travelers seeking convenience and efficiency in booking accommodations.



    The growth factors for the hotel reservation service market are multifaceted. One significant driver is the increased adoption of online booking platforms, which offer a seamless and user-friendly experience for travelers. The widespread availability of smartphones and mobile applications has revolutionized how people book hotels, making it convenient to compare prices, read reviews, and make reservations on the go. Moreover, the shift towards digitalization in the travel industry has led to the integration of advanced technologies such as artificial intelligence and machine learning, enhancing the accuracy and personalization of hotel booking services.



    Another key growth factor is the rising disposable income and changing lifestyle preferences of consumers. With growing affluence, people are more inclined to spend on travel and leisure activities. The trend of experiential travel, where travelers seek unique and personalized experiences, is also fueling the demand for specialized hotel reservation services. Additionally, the expanding middle-class population in emerging economies is contributing to the surge in travel and tourism, further boosting the hotel reservation service market.



    The increasing trend of globalization and the subsequent rise in business travel are also significant factors driving the market growth. Corporations are increasingly relying on hotel reservation services to manage their travel needs efficiently. The convenience of centralized booking systems, which offer negotiated rates and streamlined expense management, makes hotel reservation services an attractive option for corporate travel. Furthermore, the growth of the Meetings, Incentives, Conferences, and Exhibitions (MICE) industry is creating additional demand for group bookings and specialized reservation services.



    Regionally, North America currently holds the largest market share in the hotel reservation service market, driven by the high adoption of technology and a well-established travel and tourism industry. However, the Asia Pacific region is expected to witness the highest growth rate during the forecast period, owing to the rapid urbanization, increasing middle-class population, and the growing popularity of online travel services. The rising number of internet users and the proliferation of smart devices in countries like China and India are significant contributors to this growth.



    In the context of business travel, the Central Reservation System plays a pivotal role in streamlining the booking process for corporations. By centralizing hotel reservations, businesses can efficiently manage travel itineraries, negotiate better rates, and ensure compliance with corporate travel policies. This system not only simplifies the booking process but also enhances the ability to track travel expenses and generate detailed reports, which are crucial for budgeting and financial planning. As the demand for corporate travel continues to grow, the integration of Central Reservation Systems with hotel reservation services is becoming increasingly vital for businesses seeking to optimize their travel operations.



    Type Analysis



    The hotel reservation service market can be segmented by type into online booking and offline booking. Online booking has gained substantial traction over the years due to the convenience and efficiency it offers. Online booking platforms allow users to compare hotel prices, read reviews, view images, and make reservations with just a few clicks. The integration of secure payment gateways and the availability of various payment options have further bolstered the growth of online booking. In addition, online booking platforms often offer discounts and promotional offers, attracting a large number of price-sensitive travelers.



    Offline booking, although witnessing a decline in market share, still holds significance, particularly in regions where internet penetration is low or among older travelers who may not be comforta

  19. F

    Harmonized Index of Consumer Prices: Restaurants and Hotels for Euro Area...

    • fred.stlouisfed.org
    json
    Updated Sep 17, 2025
    + more versions
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    (2025). Harmonized Index of Consumer Prices: Restaurants and Hotels for Euro Area (19 Countries) [Dataset]. https://fred.stlouisfed.org/series/CP1100EZ19M086NEST
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    jsonAvailable download formats
    Dataset updated
    Sep 17, 2025
    License

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

    Description

    Graph and download economic data for Harmonized Index of Consumer Prices: Restaurants and Hotels for Euro Area (19 Countries) (CP1100EZ19M086NEST) from Jan 1996 to Aug 2025 about hotel, restaurant, Euro Area, harmonized, Europe, CPI, price index, indexes, and price.

  20. F

    Consumer Price Index for All Urban Consumers: Lodging Away from Home in U.S....

    • fred.stlouisfed.org
    json
    Updated Sep 11, 2025
    + more versions
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    (2025). Consumer Price Index for All Urban Consumers: Lodging Away from Home in U.S. City Average [Dataset]. https://fred.stlouisfed.org/series/CUUR0000SEHB
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    jsonAvailable download formats
    Dataset updated
    Sep 11, 2025
    License

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

    Area covered
    United States
    Description

    Graph and download economic data for Consumer Price Index for All Urban Consumers: Lodging Away from Home in U.S. City Average (CUUR0000SEHB) from Dec 1997 to Aug 2025 about lodging, urban, consumer, CPI, housing, inflation, price index, indexes, price, and USA.

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(2025). Producer Price Index by Industry: Hotels and Motels, Except Casino Hotels [Dataset]. https://fred.stlouisfed.org/series/PCU721110721110

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

PCU721110721110

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2 scholarly articles cite this dataset (View in Google Scholar)
jsonAvailable download formats
Dataset updated
Sep 10, 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 Aug 2025 about casino, hotel, PPI, industry, inflation, price index, indexes, price, and USA.

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