We will create a customized hotels dataset tailored to your specific requirements. Data points may include hotel names, location details, pricing information, amenity lists, guest ratings, occupancy rates, and other relevant metrics.

Utilize our hotels datasets for a variety of applications to boost strategic planning and market analysis. Analyzing these datasets can help organizations understand guest preferences and market trends within the hospitality industry, allowing for more precise operational adjustments and marketing strategies. You can choose to access the complete dataset or a customized subset based on your business needs.

Popular use cases include: optimizing booking strategies, enhancing guest experience, and competitive benchmarking.

The dataset contains locations and attributes of Hotels, created as part of the DC Geographic Information System (DC GIS) for the D.C. Office of the Chief Technology Officer (OCTO) and participating D.C. government agencies. A database provided by the DC Taxi Commission (DCTC) and research at various commercial websites identified Hotels and DC GIS staff geo-processed the data.

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.

1) Data Introduction • The TripAdvisor Hotels Dataset is a travel and lodging analysis dataset that collects information about hotels around the world in a tabular format, including locations, ratings, number of reviews, price points, amenities, room types, and user reviews.

2) Data Utilization (1) TripAdvisor Hotels Dataset has characteristics that: • Each row contains a variety of attributes needed to choose and evaluate accommodation, including hotel name, address (including latitude and longitude), rating, number of reviews, price range, room and amenities information, user reviews, language, and nearby attractions. • Data is available in various formats such as JSON and CSV, and includes detailed reviews, rating distribution, and service details (clean, location, service, etc.) by hotel for multi-faceted analysis. (2) TripAdvisor Hotels Dataset can be used to: • Analysis of hotel ratings and reviews: Various information such as ratings, review texts, amenities, etc. can be used to assess hotel service quality, analyze user satisfaction, and calculate popular hotel rankings. • Traveler's Customized Recommendation and Marketing Strategy: Based on data such as location, price, and review pattern, it can be applied to developing a customized hotel recommendation system, establishing a regional marketing strategy, and analyzing competitors.

Hotels

## Overview

Hotels is a dataset for classification tasks - it contains Hotels_photo annotations for 2,258 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

[Metadata] Locations of the Visitor Plant Inventory (VPI) in the State of Hawaii (updated December, 2021). Source: Hawaii Tourism Authority, September 2022. This inventory includes apartment hotels, bed and breakfasts (B&Bs), condominium hotels, hostels, hotels, individual vacation units, timeshares, and other types of visitor accommodations.

Layer of actively licensed hotels, motels, and bed and breakfasts from the Department of Revenue data. Does not include licensed Short Term Rentals. For those, please see https://www.nola.gov/short-term-rentals/

The number of users in the 'Hotels' segment of the travel & tourism market in the United States was forecast to continuously increase between 2024 and 2029 by in total **** million users (+***** percent). After the ninth consecutive increasing year, the number of users is estimated to reach ****** million users and therefore a new peak in 2029. Notably, the number of users of the 'Hotels' segment of the travel & tourism market was continuously increasing over the past years.Find other key market indicators concerning the user penetration and average revenue per user (ARPU). The Statista Market Insights cover a broad range of additional markets.

Many people enjoy traveling. When comparing the people booking hotels in selected countries worldwide, the highest share can be found in Vietnam, where ** percent of consumers fall into this category. Malaysia ranks second with ** percent of respondents being part of this category as well.Statista Consumer Insights offer you all results of our exclusive Statista surveys, based on more than ********* interviews.

Comprehensive dataset of 91,745 Hotels in United States as of June, 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.

Over the past five years, the Global Hotels and Resorts industry has expanded. The current period started with a pandemic-low revenue level. As business and travel activities gradually resumed, industry revenue surpassed the pre-pandemic level in 2023. However, rising inflation following the pandemic and geopolitical tensions depressed the potential revenue growth. Further, stringent fatal aviation accidents and potential tariff war further deteriorate consumer confidence, inducing them to put off travel plans. Overall, industry revenue is expected to grow at an annualized rate of 14.2% to $1.8 trillion over the five years to 2025, including a 2.4% growth in 2025. In the same year, profit is also expected to reach 18.5%. While the prominence of well-known hotel chains looms over the industry, it still experiences low concentration since it has numerous small independent hotels. Due to low concentration, the industry remains highly competitive, and the steady increase in the supply of new hotel rooms has limited the hotels' ability to raise room prices. However, the industry is changing and continues to become more consolidated. This gives larger chains control over industry parts through loyalty programs and discounted pricing structures. Over the next five years, the largest growth will likely be in Asia and the Pacific, which will help emerging economies surpass several developed economies as favored destinations for tourists. However, uncertainty in some markets, specifically those with political and health risks, will hamper consumer sentiment early during the outlook period, placing pressure on hotels. Further, the potential tariff war between the US and other powerhouses such as China and the EU will likely affect travel rates as these countries strengthen their border control. Even so, more hotels and resorts will be built due to travel rates expected to rise overall, which should drive industry revenue growth. Overall, industry revenue is projected to increase at an annualized rate of 2.2% to $2.0 trillion over the five years to 2030.

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

This table presents an overview of of the capacity (type of accommodation, rooms, beds) in the Netherlands in all hotels, motels, boarding houses, apartments with hotel services, youth accommodation and bed & breakfasts with at least 5 sleeping places. The figures can be broken down by star rating. Figures are available for The Netherlands as a whole, and for the city of Amsterdam.

The breakdown by star rating is based on the opinion of the accommodation itself. The star rating does not have to be officially registered. The breakdown contains all types of accommodation mentioned above, not just hotels. The '5 stars' category contains 5 star hotels, but also for instance 5 star bed&breakfasts.

Break in series: Figures on guests and overnight stays per star rating for the years until 2015, that were published before, were based on offical registrations of the number of stars by the 'Bedrijfschap Horeca en Catering'. This official registration does no longer exist. Therefore, Statistics Netherlands started asking accommodations about their number of stars in its annual survey. For this reason, the figures in this table are not directly comparable with figures published about the years until 2015.

Data available from: 2017

Status of the figures: The figures for 2024 are provisional and al other figures are final.

Changes as of 11 July 2025: The provisional figures for May 2025 have been added.

When will new figures be published? Figures of a new month become available within three months after the end of that month, these are provisional figures. The figures for the complete year are revised one month after publication of the December figures, these are revised provisional figures. Two months later definite figures will be published.

The Booking Hotel Listings Dataset provides a structured and in-depth view of accommodations worldwide, offering essential data for travel industry professionals, market analysts, and businesses. This dataset includes key details such as hotel names, locations, star ratings, pricing, availability, room configurations, amenities, guest reviews, sustainability features, and cancellation policies.

With this dataset, users can:

Analyze market trends to understand booking behaviors, pricing dynamics, and seasonal demand.
Enhance travel recommendations by identifying top-rated hotels based on reviews, location, and amenities.
Optimize pricing and revenue strategies by benchmarking property performance and availability patterns.
Assess guest satisfaction through sentiment analysis of ratings and reviews.
Evaluate sustainability efforts by examining eco-friendly features and certifications.

Designed for hospitality businesses, travel platforms, AI-powered recommendation engines, and pricing strategists, this dataset enables data-driven decision-making to improve customer experience and business performance.

Use Cases

Booking Hotel Listings in Greece
Gain insights into Greece’s diverse hospitality landscape, from luxury resorts in Santorini to boutique hotels in Athens. Analyze review scores, availability trends, and traveler preferences to refine booking strategies.

Booking Hotel Listings in Croatia
Explore hotel data across Croatia’s coastal and inland destinations, ideal for travel planners targeting visitors to Dubrovnik, Split, and Plitvice Lakes. This dataset includes review scores, pricing, and sustainability features.

Booking Hotel Listings with Review Scores Greater Than 9
A curated selection of high-rated hotels worldwide, ideal for luxury travel planners and market researchers focused on premium accommodations that consistently exceed guest expectations.

Booking Hotel Listings in France with More Than 1000 Reviews
Analyze well-established and highly reviewed hotels across France, ensuring reliable guest feedback for market insights and customer satisfaction benchmarking.

This dataset serves as an indispensable resource for travel analysts, hospitality businesses, and data-driven decision-makers, providing the intelligence needed to stay competitive in the ever-evolving travel industry.

Luxury Hotels Market Outlook

The global luxury hotels market size was valued at approximately USD 95 billion in 2023 and is projected to reach USD 160 billion by 2032, growing at a compound annual growth rate (CAGR) of 5.8% during the forecast period of 2024-2032. The primary driving factor for this growth is the rising number of affluent individuals and the increasing inclination towards travel and leisure activities that emphasize unique and high-end experiences. This trend is compounded by the expansion of tourism infrastructure, government initiatives to boost tourism, and the growing influence of social media platforms showcasing luxury travel experiences. The market is poised for continuous growth as global economic conditions improve, enabling more consumers to afford luxury accommodations.

A significant growth factor for the luxury hotels market is the increased disposable income and changing lifestyle preferences of a global audience. As more individuals seek experiences that offer luxurious comfort and prestige, the demand for upscale amenities and personalized services provided by luxury hotels rises. This is further fueled by the emerging consumer trend favoring experiences over material possessions, driving people towards investing in travel and accommodation that offer exceptional experiences. The hospitality industry is witnessing an upsurge in demand for unique, culturally immersive, and high-quality service offerings, thereby pushing the boundaries of luxury and redefining what constitutes a luxury experience.

The rapid advancements in technology have also been a crucial catalyst for growth in the luxury hotels market. With technology, luxury hotels are now capable of offering personalized services that cater to the individual preferences of their guests. From AI-driven customer service to IoT-enabled rooms that allow guests to control various aspects of their environment through mobile devices, technology has become a pivotal element in enhancing the guest experience. This technological integration not only aids in providing a seamless experience but also attracts a tech-savvy clientele that values innovation and convenience as part of their luxury stay.

Furthermore, environmental sustainability and eco-friendly practices are becoming increasingly important to luxury hotel consumers, particularly millennials and Gen Z travelers who are more environmentally conscious. Luxury hotels are investing in sustainability initiatives, such as reducing carbon footprints, using sustainable materials, and ensuring energy efficiency, to appeal to this growing consumer base. The commitment to sustainability not only enhances a hotel's brand image but also meets the rising consumer demand for responsible and sustainable tourism. This shift towards sustainable luxury is opening new avenues for growth and differentiation in the competitive luxury hotels market.

In recent years, the concept of a Luxury Pet Friendly Hotel has gained traction, reflecting the evolving needs of travelers who consider their pets as part of the family. These hotels offer an array of amenities designed specifically for pets, such as gourmet pet menus, pet spa services, and designated play areas, ensuring that both guests and their furry companions enjoy a luxurious stay. The rise of pet-friendly luxury accommodations is driven by the increasing number of pet owners who are unwilling to leave their pets behind when traveling. This trend is not only enhancing the guest experience but also opening new revenue streams for luxury hotels, as they cater to a niche market that values inclusivity and exceptional service for all family members, including pets.

Regionally, the Asia Pacific market is anticipated to exhibit significant growth due to the rising disposable incomes and the growing middle-class population in countries such as China and India. These countries are seeing a surge in domestic and international tourism, which boosts the demand for luxury accommodations. Additionally, North America remains a strong market for luxury hotels due to the established tourism infrastructure, significant numbers of business and leisure travelers, and the presence of numerous luxury hotel chains. Europe, with its rich cultural heritage and historical tourism appeal, continues to be a key player in the luxury hotel market, attracting high-net-worth individuals from across the globe.

Type Analysis

The luxury hotels market is segmented into various types, including busin

The Survey on Tourist Establishments provides statistical information on the occupancy of hotel establishments: hotels and guesthouses as well as rural accommodation - rural tourism establishments and country houses - located in the Basque Country. The main variables obtained are the number of visitors, number of overnight stays, average length of stay and occupancy rates, both for places and for beds.

In general the results are offered at Provincial level, and for certain variables other, smaller territorial units (geographical areas) are considered.

Building footprint polygons were from SEMCOG's 2015 footprint layer. Primary data from DDP was added to each record, including year open, status and number of rooms. Building height was taken from the footprint data.

The Agoda Hotel Listings Dataset provides a structured and detailed view of accommodations worldwide, offering essential data for travel industry professionals, market analysts, and businesses. This dataset includes key details such as hotel names, locations, review scores, pricing, availability, room configurations, amenities, guest reviews, property highlights, and property surroundings.

With this dataset, users can:

Analyze market trends to understand booking behaviors, pricing dynamics, and seasonal demand.
Enhance travel recommendations by identifying top-rated hotels based on reviews, location, and amenities.
Optimize pricing and revenue strategies by benchmarking property performance and availability patterns.
Assess guest satisfaction through sentiment analysis of ratings and reviews.
Refine location-based insights by analyzing property surroundings and nearby attractions.

Designed for hospitality businesses, travel platforms, AI-powered recommendation engines, and pricing strategists, this dataset enables data-driven decision-making to improve customer experience and business performance.

Use Cases

Agoda Hotel Listings in Thailand
Gain insights into Thailand’s hospitality market, from luxury resorts in Phuket to boutique hotels in Bangkok. Analyze review scores, availability trends, and traveler preferences to refine booking strategies.
Agoda Hotel Listings in Japan
Explore hotel data across Japan’s major cities and rural retreats, ideal for travel planners targeting visitors to Tokyo, Kyoto, and Osaka. This dataset includes review scores, pricing, and property highlights.
Agoda Hotel Listings with Review Scores Greater Than 9
A curated selection of high-rated hotels worldwide, ideal for luxury travel planners and market researchers focused on premium accommodations that consistently exceed guest expectations.
Agoda Hotel Listings in the United States with More Than 1000 Reviews
Analyze well-established and highly reviewed hotels across the U.S., ensuring reliable guest feedback for market insights and customer satisfaction benchmarking.

This dataset serves as an indispensable resource for travel analysts, hospitality businesses, and data-driven decision-makers, providing the intelligence needed to stay competitive in the ever-evolving travel industry.

China Number of Hotels: Total data was reported at 10,003.000 Unit in 2019. This records a decrease from the previous number of 10,249.000 Unit for 2018. China Number of Hotels: Total data is updated yearly, averaging 11,828.000 Unit from Dec 1999 (Median) to 2019, with 21 observations. The data reached an all-time high of 14,237.000 Unit in 2009 and a record low of 3,856.000 Unit in 1999. China Number of Hotels: Total data remains active status in CEIC and is reported by Ministry of Culture and Tourism. The data is categorized under Global Database’s China – Table CN.QHA: Star-Rated Hotel Operation.

Snapshot img

Boutique Hotels Market Size 2025-2029

The boutique hotels market size is forecast to increase by USD 11.36 billion at a CAGR of 7.1% between 2024 and 2029.

The market is experiencing significant growth due to the expanding tourism industry and the increasing preference for unique and authentic experiences among travelers. Boutique hotels offer personalized services, customized health and wellness programs, and catering options that cater to individual needs. Seasonality and demand fluctuations are key challenges for this market, requiring hotels to implement digital solutions such as artificial intelligence and automation to optimize operations and enhance guest experiences. The cruise industry is also integrating boutique hotels onboard ships to cater to the evolving needs of luxury travelers. The market is poised for continued growth as travelers seek personalized, high-quality experiences in the competitive tourism landscape.

What will be the Size of the Boutique Hotels Market During the Forecast Period?

Request Free Sample

The market caters to travelers seeking unique, personalized experiences, focusing on authenticity, local culture, and high-quality service. This market encompasses urban boutique hotels, boutique beach resorts, and independent properties, all offering individualized service and soft branding strategies. Young travelers, particularly millennials, are driving growth in this sector, favoring experiential stays over extended vacations. Online booking and digital platforms facilitate convenience, while social media and online reviews influence consumer decisions. Aesthetics, health services, and eco-conscious travel are key trends, with energy-efficient systems and mobile key systems enhancing the guest experience. Loyalty programs and personalized travel experiences further differentiate this market from mass-market accommodations.

How is this Boutique Hotels Industry segmented and which is the largest segment?

The 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

  Business hotels
  Suite hotels
  Airport hotels
  Resort hotels


Channel

  Online booking
  In-person booking


Service Type

  Luxury boutique hotels
  Budget boutique hotels
  Family-friendly boutique hotels
  Adults-only boutique hotels


Geography

  North America

    Canada
    US


  Europe

    Germany
    UK
    France
    Italy


  APAC

    China
    India
    Japan


  South America

    Brazil


  Middle East and Africa

By Type Insights

The business hotels segment is estimated to witness significant growth during the forecast period.

Business hotels have gained popularity due to their ability to cater to the distinct needs of business travelers. Strategically located in commercial and financial districts, these hotels offer easy access to major business centers, corporate offices, and conference venues, saving time and providing convenience. Business hotels provide specialized amenities and facilities, such as well-equipped meeting rooms, conference facilities, high-speed Internet access, business centers, printing and copying services, and 24-hour room service. Young travelers, millennials, and extended vacationers also seek experiential stays, personal space, and personalized service, which business hotels often offer. Tech-driven hospitality, themed experiences, pet-friendly accommodations, art-centric hotels, and eco-conscious travelers are other target markets.

Online booking, social media marketing, and loyalty programs are essential digital platforms for these hotels. Sustainable practices, such as energy-efficient systems, water conservation, and locally sourced food, appeal to affluent and leisure travelers.

Get a glance at the Industry report of share of various segments Request Free Sample

The business hotels segment was valued at USD 7.13 billion in 2019 and showed a gradual increase during the forecast period.

Regional Analysis

Europe is estimated to contribute 33% to the growth of the global market during the forecast period.

Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

For more insights on the market share of various regions, Request Free Sample

Another region offering significant growth opportunities to vendors is North America. They have experienced significant growth in North America over the last decade, catering to travelers seeking personalized and intimate accommodations. Known for their stylish and aesthetically pleasing interiors, these unique lodgings offer a visually appealing experience for those who value design and ambiance. Millennials, short-trip travelers, and extended vacationers, as