100+ datasets found
  1. F

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

    • fred.stlouisfed.org
    json
    Updated Nov 25, 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
    Nov 25, 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 Sep 2025 about casino, hotel, PPI, industry, inflation, price index, indexes, price, and USA.

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

    • statista.com
    Updated Nov 28, 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
    Nov 28, 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.

  3. G

    Hotel Price Intelligence Market Research Report 2033

    • growthmarketreports.com
    csv, pdf, pptx
    Updated Aug 22, 2025
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    Growth Market Reports (2025). Hotel Price Intelligence Market Research Report 2033 [Dataset]. https://growthmarketreports.com/report/hotel-price-intelligence-market
    Explore at:
    csv, pptx, pdfAvailable download formats
    Dataset updated
    Aug 22, 2025
    Dataset authored and provided by
    Growth Market Reports
    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 1.84 billion in 2024, reflecting robust industry growth supported by the increasing adoption of dynamic pricing strategies and advanced analytics within the hospitality sector. The market is projected to grow at a CAGR of 10.7% from 2025 to 2033, ultimately reaching a forecasted value of USD 4.16 billion by 2033. This remarkable expansion is primarily driven by the escalating demand for data-driven decision-making tools, the proliferation of online travel agencies, and the intensifying competition among hotels to optimize occupancy and maximize revenue.



    A significant growth factor for the Hotel Price Intelligence market is the surging reliance on sophisticated pricing analytics to enhance revenue management strategies. As hotels face increasing pressure to remain competitive in a rapidly evolving digital landscape, the integration of real-time price intelligence solutions enables them to monitor competitor pricing, analyze market trends, and dynamically adjust their own rates. The growing complexity of distribution channels, coupled with fluctuating demand patterns, has made it essential for hoteliers to leverage advanced software and services that provide actionable insights. This trend is further amplified by the proliferation of online booking platforms and meta-search engines, which have heightened price transparency and intensified the need for competitive benchmarking.



    Another key driver propelling the Hotel Price Intelligence market is the widespread adoption of cloud-based deployment models. Cloud technology offers unparalleled scalability, flexibility, and cost-effectiveness, enabling hotels of all sizes to access powerful price intelligence tools without significant upfront investment in IT infrastructure. The shift towards cloud-based solutions has democratized access to advanced analytics, allowing even small and boutique hotels to implement sophisticated revenue management strategies. Moreover, cloud platforms facilitate seamless integration with property management systems, channel managers, and other hospitality software, streamlining operations and enhancing the accuracy of pricing decisions.



    Additionally, the growing focus on personalized guest experiences and the need for granular demand forecasting have spurred innovation within the Hotel Price Intelligence market. Hoteliers are increasingly utilizing artificial intelligence (AI) and machine learning algorithms to anticipate booking patterns, segment customer profiles, and optimize rates in real time. These technologies enable hotels to respond swiftly to market shifts, capture incremental revenue opportunities, and build more resilient pricing strategies. The emergence of new data sources, such as social media sentiment and online reviews, is further enriching the analytics landscape, empowering hotels to make more informed pricing decisions and deliver greater value to guests.



    From a regional perspective, North America currently dominates the Hotel Price Intelligence market, accounting for the largest share in 2024, followed by Europe and Asia Pacific. The region's leadership can be attributed to the high concentration of international hotel chains, advanced technological infrastructure, and a mature online travel ecosystem. However, Asia Pacific is expected to witness the highest growth rate over the forecast period, driven by rapid urbanization, expanding tourism sectors, and increasing digitalization across emerging economies. The competitive landscape is also evolving, with local players and global technology providers vying for market share by offering innovative, region-specific solutions tailored to diverse hotel segments.





    Component Analysis



    The Component segment of the Hotel Price Intelligence market is bifurcated into Software and Services, each playing a pivotal role in shaping the industry’s growth trajectory. The software segment encompasses a wide arr

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

    • statista.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/
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    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.

  5. 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

  6. 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

  7. G

    Hotel Rate Shopping Market Research Report 2033

    • growthmarketreports.com
    csv, pdf, pptx
    Updated Aug 23, 2025
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    Growth Market Reports (2025). Hotel Rate Shopping Market Research Report 2033 [Dataset]. https://growthmarketreports.com/report/hotel-rate-shopping-market
    Explore at:
    csv, pdf, pptxAvailable download formats
    Dataset updated
    Aug 23, 2025
    Dataset authored and provided by
    Growth Market Reports
    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Hotel Rate Shopping Market Outlook



    According to our latest research, the global hotel rate shopping market size reached USD 1.43 billion in 2024, reflecting robust growth driven by the hospitality sector’s increasing reliance on dynamic pricing strategies and advanced analytics. The market is expected to expand at a CAGR of 8.7% from 2025 to 2033, reaching a projected value of USD 2.99 billion by 2033. This upward trajectory is propelled by the growing adoption of cloud-based solutions, the integration of AI-powered rate intelligence, and the escalating competition among hotels and online travel agencies (OTAs) to optimize pricing and maximize revenue.



    One of the primary growth factors for the hotel rate shopping market is the hospitality industry’s accelerated digital transformation. As hotels seek to stay competitive in a rapidly evolving landscape, they are increasingly investing in sophisticated rate shopping tools that provide real-time insights into competitor pricing, market demand, and consumer trends. The proliferation of metasearch engines and OTAs has made pricing transparency a critical success factor, prompting hotels to leverage advanced software solutions for continuous price monitoring and optimization. Furthermore, the integration of machine learning and AI technologies within rate shopping platforms enables hotels to predict demand fluctuations more accurately, automate pricing decisions, and respond swiftly to market changes, thereby driving higher occupancy rates and revenue per available room (RevPAR).



    Another significant driver is the rising importance of revenue management in the post-pandemic era. The hospitality sector has witnessed a paradigm shift, with hoteliers placing greater emphasis on data-driven decision-making to recover from revenue losses and adapt to changing guest preferences. Rate shopping tools have become indispensable for revenue managers, enabling them to benchmark their rates against competitors, identify pricing gaps, and implement dynamic pricing strategies. Additionally, the growing trend of personalized guest experiences and tailored pricing models is fueling the demand for granular market intelligence, further boosting the adoption of hotel rate shopping solutions. The evolution of cloud-based platforms has also democratized access to these tools, making them affordable and scalable for both independent hotels and large chains.



    The expansion of online travel agencies and the increasing complexity of distribution channels represent another pivotal growth factor. OTAs and metasearch platforms have transformed the way consumers compare hotel prices, compelling hotels to maintain rate parity and competitive pricing across multiple channels. This has created a pressing need for automated rate shopping solutions that can track rates across hundreds of websites in real time, providing actionable insights for both hotels and OTAs. The growing collaboration between technology providers and hospitality brands is also fostering innovation, with new features such as predictive analytics, competitor benchmarking, and market segmentation analysis becoming standard offerings in modern rate shopping platforms.



    From a regional perspective, North America continues to lead the global hotel rate shopping market, accounting for the largest revenue share in 2024. The region’s dominance is attributed to the high concentration of international hotel chains, advanced IT infrastructure, and early adoption of cloud-based revenue management systems. Europe follows closely, with a strong focus on digitalization in the hospitality sector and stringent regulatory requirements for pricing transparency. The Asia Pacific region is emerging as the fastest-growing market, driven by rapid urbanization, a booming travel industry, and increasing investments in hospitality technology. Latin America and the Middle East & Africa are also witnessing steady growth, supported by the rise of tourism and government initiatives to modernize the hospitality sector.





    Component Analysis



    The hotel rate shopping market is

  8. Booking.com Dataset for Hotel Price Prediction

    • kaggle.com
    zip
    Updated Feb 22, 2024
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    ShreyasBagwe1015 (2024). Booking.com Dataset for Hotel Price Prediction [Dataset]. https://www.kaggle.com/datasets/shreyasbagwe1015/booking-com-dataset-for-hotel-price-prediction
    Explore at:
    zip(197417 bytes)Available download formats
    Dataset updated
    Feb 22, 2024
    Authors
    ShreyasBagwe1015
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Description

    Dataset

    This dataset was created by ShreyasBagwe1015

    Released under Apache 2.0

    Contents

  9. D

    Hotel Rate Shopping Market Research Report 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Sep 30, 2025
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    Dataintelo (2025). Hotel Rate Shopping Market Research Report 2033 [Dataset]. https://dataintelo.com/report/hotel-rate-shopping-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 Rate Shopping Market Outlook



    According to our latest research, the global hotel rate shopping market size in 2024 stands at USD 1.62 billion, with a robust CAGR of 10.7% projected during the forecast period from 2025 to 2033. By 2033, the market is forecasted to reach USD 4.06 billion. This impressive growth is primarily driven by the hospitality industry's increasing reliance on advanced pricing intelligence and dynamic rate management to stay competitive in a rapidly evolving digital landscape. The adoption of AI-powered solutions, real-time analytics, and seamless integration with property management systems are pivotal factors propelling this market forward, as per our comprehensive market analysis.



    One of the key growth drivers in the hotel rate shopping market is the intensifying competition among hotels, resorts, and online travel agencies (OTAs) to capture price-sensitive customers. The proliferation of digital booking platforms and meta-search engines has made rate transparency a necessity, compelling hoteliers to monitor and adjust their pricing strategies in real-time. Hotels and travel companies are leveraging rate shopping tools to gain actionable insights into competitors’ pricing, promotional tactics, and inventory availability. This enables them to optimize their own rates, enhance occupancy levels, and maximize revenue per available room (RevPAR). The adoption of sophisticated rate shopping software is further fueled by the growing demand for personalized guest experiences, which require agile and data-driven pricing mechanisms.



    Another significant factor contributing to the expansion of the hotel rate shopping market is the integration of cloud-based solutions and artificial intelligence. Cloud deployment offers unparalleled scalability, real-time data access, and cost-effectiveness, making it the preferred choice for both large hotel chains and independent properties. AI-powered rate intelligence platforms can process vast volumes of market data, identify pricing trends, and recommend optimal rate adjustments instantaneously. This automation reduces manual effort, minimizes pricing errors, and enables hoteliers to respond swiftly to market fluctuations. Additionally, the rise of mobile bookings and the need for omnichannel rate consistency are pushing the adoption of advanced rate shopping tools across the hospitality sector.



    The growing emphasis on revenue management and competitive benchmarking is also fueling market growth. Revenue managers are increasingly relying on comprehensive rate intelligence to make informed decisions about pricing, distribution channels, and promotional strategies. By benchmarking their rates against competitors and monitoring market demand, hotels can identify opportunities to increase direct bookings and reduce dependency on OTAs, thereby improving profitability. The integration of rate shopping solutions with channel management systems further streamlines the distribution process, reduces the risk of rate parity issues, and enhances overall operational efficiency.



    Regionally, North America continues to dominate the hotel rate shopping market, accounting for the largest share in 2024, followed by Europe and Asia Pacific. The high concentration of global hotel chains, tech-savvy consumers, and advanced digital infrastructure in North America has accelerated the adoption of rate shopping solutions. Asia Pacific is expected to witness the highest CAGR of 12.4% during the forecast period, driven by the rapid growth of the travel and tourism industry, increasing internet penetration, and the emergence of new hospitality players in countries like China, India, and Southeast Asia. Europe, with its mature hospitality sector and focus on digital transformation, also represents a significant growth opportunity for market players.



    Component Analysis



    The hotel rate shopping market is segmented by component into software and services, each playing a critical role in the overall value proposition for hoteliers. The software segment comprises advanced rate intelligence platforms, dynamic pricing engines, and integrated analytics dashboards that provide real-time competitor pricing data, market trends, and actionable insights. These platforms are increasingly leveraging artificial intelligence and machine learning to automate data collection, analysis, and rate recommendations, enabling hotels to respond proactively to market changes. The software seg

  10. c

    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
    Explore at:
    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.

  11. H

    Hotel Rooms Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated May 18, 2025
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    Data Insights Market (2025). Hotel Rooms Report [Dataset]. https://www.datainsightsmarket.com/reports/hotel-rooms-1969038
    Explore at:
    ppt, pdf, docAvailable download formats
    Dataset updated
    May 18, 2025
    Dataset authored and provided by
    Data Insights Market
    License

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

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

    Discover the booming global hotel rooms market! This comprehensive analysis reveals key trends, growth drivers, regional market shares (North America, Europe, Asia-Pacific), and leading companies from 2019-2033, including market size projections and CAGR. Learn about the impact of online booking, hotel types, and future opportunities in this lucrative sector.

  12. 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

  13. F

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

    • fred.stlouisfed.org
    json
    Updated Oct 24, 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
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Oct 24, 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 Sep 2025 about lodging, urban, consumer, CPI, housing, inflation, price index, indexes, price, and USA.

  14. m

    Hotel Booking Market Size, Share & Industry Analysis 2033

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

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

    Area covered
    Global
    Description

    Discover Market Research Intellect's Hotel Booking Market Report, worth USD 100 billion in 2024 and projected to hit USD 150 billion by 2033, registering a CAGR of 5.9% between 2026 and 2033.Gain in-depth knowledge of emerging trends, growth drivers, and leading companies.

  15. 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 provided by
    Verified Market Researchhttps://www.verifiedmarketresearch.com/
    Authors
    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. y

    Italy Consumer Price Index: Hotels and Restaurants

    • ycharts.com
    html
    Updated Oct 17, 2025
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    Eurostat (2025). Italy Consumer Price Index: Hotels and Restaurants [Dataset]. https://ycharts.com/indicators/italy_consumer_price_index_hotels_and_restaurants
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Oct 17, 2025
    Dataset provided by
    YCharts
    Authors
    Eurostat
    License

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

    Time period covered
    Jan 31, 1996 - Sep 30, 2025
    Area covered
    Italy
    Variables measured
    Italy Consumer Price Index: Hotels and Restaurants
    Description

    View monthly updates and historical trends for Italy Consumer Price Index: Hotels and Restaurants. Source: Eurostat. Track economic data with YCharts anal…

  17. 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/ESPCP110000GPM
    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

    Area covered
    Spain
    Description

    Graph and download economic data for Consumer Price Index: Restaurants and Hotels (COICOP 11): Total for Spain (ESPCP110000GPM) from Feb 2002 to Nov 2023 about hotel, restaurant, Spain, CPI, price index, indexes, and price.

  18. Luxury Hotel Market Size & Trends - Industry Statistics

    • mordorintelligence.com
    pdf,excel,csv,ppt
    Updated Oct 24, 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
    Oct 24, 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).

  19. Average achieved hotel room rate in Hong Kong | DATA.GOV.HK

    • data.gov.hk
    + more versions
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    data.gov.hk, Average achieved hotel room rate in Hong Kong | DATA.GOV.HK [Dataset]. https://data.gov.hk/en-data/dataset/hk-cstb-cstb_tc-tc-average-achieved-hotel-room-rate
    Explore at:
    Dataset provided by
    data.gov.hk
    Area covered
    Hong Kong
    Description

    Average achieved hotel room rate in Hong Kong in the past five years

  20. F

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

    • fred.stlouisfed.org
    json
    Updated Oct 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
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Oct 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 Sep 2025 about hotel, restaurant, Euro Area, harmonized, Europe, CPI, price index, indexes, and price.

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Close
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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

Explore at:
2 scholarly articles cite this dataset (View in Google Scholar)
jsonAvailable download formats
Dataset updated
Nov 25, 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 Sep 2025 about casino, hotel, PPI, industry, inflation, price index, indexes, price, and USA.

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