100+ datasets found
  1. b

    Travel Datasets

    • brightdata.com
    .json, .csv, .xlsx
    Updated Jul 6, 2025
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    Bright Data (2025). Travel Datasets [Dataset]. https://brightdata.com/products/datasets/travel
    Explore at:
    .json, .csv, .xlsxAvailable download formats
    Dataset updated
    Jul 6, 2025
    Dataset authored and provided by
    Bright Data
    License

    https://brightdata.com/licensehttps://brightdata.com/license

    Area covered
    Worldwide
    Description

    Our travel datasets provide extensive, structured data covering various aspects of the global travel and hospitality industry. These datasets are ideal for businesses, analysts, and developers looking to gain insights into hotel pricing, short-term rentals, restaurant listings, and travel trends. Whether you're optimizing pricing strategies, analyzing market trends, or enhancing travel-related applications, our datasets offer the depth and accuracy you need.

    Key Travel Datasets Available:
    
      Hotel & Rental Listings: Access detailed data on hotel properties, short-term rentals, and vacation stays from platforms like 
        Airbnb, Booking.com, and other OTAs. This includes property details, pricing, availability, guest reviews, and amenities.
    
      Real-Time & Historical Pricing Data: Track hotel room pricing, rental occupancy rates, and pricing trends 
        to optimize revenue management and competitive analysis.
    
      Restaurant Listings & Reviews: Explore restaurant data from Tripadvisor, OpenTable, Zomato, Deliveroo, and Talabat, 
        including restaurant details, customer ratings, menus, and delivery availability.
    
      Market & Trend Analysis: Use structured datasets to analyze travel demand, seasonal trends, and consumer preferences 
        across different regions.
    
      Geo-Targeted Data: Get location-specific insights with city, state, and country-level segmentation, 
        allowing for precise market research and localized business strategies.
    
    
    
    Use Cases for Travel Datasets:
    
      Dynamic Pricing & Revenue Optimization: Adjust pricing strategies based on real-time market trends and competitor analysis.
      Market Research & Competitive Intelligence: Identify emerging travel trends, monitor competitor performance, and assess market demand.
      Travel & Hospitality App Development: Enhance travel platforms with accurate, up-to-date data on hotels, restaurants, and rental properties.
      Investment & Financial Analysis: Evaluate travel industry performance for investment decisions and economic forecasting.
    
    
    
      Our travel datasets are available in multiple formats (JSON, CSV, Excel) and can be delivered via 
      API, cloud storage (AWS, Google Cloud, Azure), or direct download. 
      Stay ahead in the travel industry with high-quality, structured data that powers smarter decisions.
    
  2. d

    Tourism Data | Travel Data | 330M+ Global Devices | CCPA Compliant

    • datarade.ai
    .json, .csv
    Updated Sep 1, 2024
    + more versions
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    DRAKO (2024). Tourism Data | Travel Data | 330M+ Global Devices | CCPA Compliant [Dataset]. https://datarade.ai/data-products/drako-tourism-data-usa-canada-330m-devices-residen-drako
    Explore at:
    .json, .csvAvailable download formats
    Dataset updated
    Sep 1, 2024
    Dataset authored and provided by
    DRAKO
    Area covered
    Canada, United States
    Description

    DRAKO is a Mobile Location Data provider with a programmatic trading desk specializing in geolocation analytics and programmatic advertising. Our Tourism Data has helped cities, counties, and states better understand who their visitors are so that they can effectively develop and deliver advertising campaigns. We’re in a unique position to deliver enriched insight beyond traditional surveying or other data sources because of our rich dataset, proprietary modelling capabilities, and analytical capabilities.

    MAIDs (Mobile Advertising IDs) are unique device identifiers associated with consenting mobile devices that can be utilized for geolocation based analyses and audiences. Drako uses MAIDs to fuel our Tourism Data utilizing our Home Location Model. The Home Location of a MAID is determined based on where that MAID is seen most frequently between the hours of 11pm and 6am (local time). Using this we are able to determine the Home Location of a user which in turn allows us to identify when and where they are travelling.

    Beyond identifying that users are tourists, we can also classify them into different bins by their frequency / dwell time over their estimated number of visits. Using our data and frequency, we can identify: overnight visitors, weekend visits, short-term stays, long-term stays, or frequent holiday visitors !

    Beyond Tourism Data in your defined geography alone, we are also able to provide: - Home location - Find out where your audience is coming from using our home location technology - Movement - Quantify how far users have travelled between locations. - Demographics - Discover neighborhood level characteristics such as income, ethnicity, and more - Brand index - Learn which major brands and retailers your audience is visiting the most. - Visitation index - See which destinations your visitors are visiting the most - Addressable audience - Customize your audiences for your campaigns using our analytic insights

    Moreover, if you’re looking to activate your Tourism Data for advertising, we’re always able to further refine or filter your desired audience with our other Audience Data, such as: Brand visits, Geodemographics, Ticketed Event visits, Purchase Intent (in Canada), Purchase History (in USA), and more !

    Data Compliance: All of our Tourism Data is fully CCPA compliant and 100% sourced from SDKs (Software Development Kits), the most reliable and consistent mobile data stream with end user consent available with only a 4-5 day delay. This means that our location and device ID data comes from partnerships with over 1,500+ mobile apps. This data comes with an associated location which is how we are able to segment using geofences.

    Data Quality: In addition to partnering with trusted SDKs, DRAKO has additional screening methods to ensure that our mobile location data is consistent and reliable. This includes data harmonization and quality scoring from all of our partners in order to disregard MAIDs with a low quality score.

  3. d

    Employee Travel Data (Non-Local)

    • catalog.data.gov
    • data.montgomerycountymd.gov
    • +3more
    Updated Jul 12, 2025
    + more versions
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    data.montgomerycountymd.gov (2025). Employee Travel Data (Non-Local) [Dataset]. https://catalog.data.gov/dataset/employee-travel-data-non-local
    Explore at:
    Dataset updated
    Jul 12, 2025
    Dataset provided by
    data.montgomerycountymd.gov
    Description

    ‘This dataset provides information regarding the total approved actual expenses incurred by Montgomery County government employees traveling non-locally (over 75 miles from the County’s Executive Office Building at 101 Monroe St. Rockville, MD) for official business, beginning on or after August 12, 2015. The dataset includes the name of traveling employee; the employee’s home department; travel start and end dates; destination; purpose of travel; and actual total expenses funded by the County. Update Frequency: Monthly

  4. United States Weekly Travel Spending: Arkansas

    • ceicdata.com
    Updated Mar 15, 2023
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    CEICdata.com (2023). United States Weekly Travel Spending: Arkansas [Dataset]. https://www.ceicdata.com/en/united-states/weekly-travel-spending/weekly-travel-spending-arkansas
    Explore at:
    Dataset updated
    Mar 15, 2023
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Jul 11, 2020 - Sep 26, 2020
    Area covered
    United States
    Variables measured
    Tourism Statistics
    Description

    United States Weekly Travel Spending: Arkansas data was reported at 0.095 USD bn in 26 Sep 2020. This records a decrease from the previous number of 0.098 USD bn for 19 Sep 2020. United States Weekly Travel Spending: Arkansas data is updated weekly, averaging 0.097 USD bn from Feb 2020 (Median) to 26 Sep 2020, with 34 observations. The data reached an all-time high of 0.146 USD bn in 07 Mar 2020 and a record low of 0.029 USD bn in 25 Apr 2020. United States Weekly Travel Spending: Arkansas data remains active status in CEIC and is reported by US Travel Association. The data is categorized under Global Database’s United States – Table US.Q007: Weekly Travel Spending.

  5. d

    Travel Danger

    • data.world
    csv, zip
    Updated Apr 19, 2025
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    State Department Travel Warnings (2025). Travel Danger [Dataset]. https://data.world/travelwarnings/travel-danger
    Explore at:
    zip, csvAvailable download formats
    Dataset updated
    Apr 19, 2025
    Authors
    State Department Travel Warnings
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Time period covered
    2008 - 2016
    Description

    This dataset contains data and analysis from the article Do State Department Travel Warnings Reflect Real Danger?

    Key findings

    • On the whole, there is a significant relationship between the number of American deaths abroad per capita and the number of travel warnings a country receives
    • Mexico, Mali, and Israel have been targeted by the most travel warnings in recent years, but Americans are more likely to be killed in Thailand, Pakistan, and the Philippines
    • Several countries with relatively high rates of American death have not been issued a single travel warning in ~7 years, including Belize, Guyana, and Guatemala
    • Several countries with relatively low rates of American death have been issued a relatively high number of travel warnings in ~7 years, including Israel, Turkey, and Saudi Arabia
    • Overall, countries subject to travel warnings do not see notable declines in American visitors in the 6 months after a warning is issued

    Data sources

    Charts / data visualizations

    https://cdn-images-1.medium.com/max/800/1*moPQYbzXW0Jx6AFhY8VKWQ.png" alt="alt text">

    https://cdn-images-1.medium.com/max/800/1*s1OX6ke8wlHhK4VubpVWcg.png" alt="alt text">

    https://cdn-images-1.medium.com/max/800/1*JwvpqE4YIuYfx2UEqCp9nA.png" alt="alt text">

    https://cdn-images-1.medium.com/max/800/1*LHLsJ0IzLsSlNl0UN8XrAw.png" alt="alt text">

    https://cdn-images-1.medium.com/max/800/1*l0sqn7voWyMCbwoQ2OKGfg.png" alt="alt text">

  6. Air Travel Data

    • gis-fdot.opendata.arcgis.com
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Apr 8, 2021
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    Florida Department of Transportation (2021). Air Travel Data [Dataset]. https://gis-fdot.opendata.arcgis.com/documents/ba720b8bc8c44a19a7c01b473737a1e5
    Explore at:
    Dataset updated
    Apr 8, 2021
    Dataset authored and provided by
    Florida Department of Transportationhttps://www.fdot.gov/
    Area covered
    Earth
    Description

    This csv file provides air travel data information for Florida and Districts for 2017, 2018, 2019 and 2020. Through the FDOT Source Book Special Edition 2020 report, users can drill down the air travel data at the statewide and District level.The report's link is: https://sourcebook-2020-se-fdot.hub.arcgis.com/In April 2020, statewide takeoffs and landings decreased by 70% from April 2019. By December 2020, takeoffs and landings had rebounded to 65% of their 2019 levels. Flight operations have tripled since their low point in April 2020.Data source: Federal Aviation Administration (FAA). For any additional information, please contact the Forecasting and Trends Office (FTO) at 850-414-5396.

  7. i

    Travel Demand Model Data (c24q2)

    • datahub.cmap.illinois.gov
    Updated Jun 24, 2024
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    Chicago Metropolitan Agency for Planning (2024). Travel Demand Model Data (c24q2) [Dataset]. https://datahub.cmap.illinois.gov/documents/b2936a4cc03e46ca9745d9a82823ffbd
    Explore at:
    Dataset updated
    Jun 24, 2024
    Dataset authored and provided by
    Chicago Metropolitan Agency for Planning
    Description

    These datasets include the analysis year inputs and outputs from the Air Quality Conformity Analysis approved in June 2024. The horizon year is 2050 and reflects the policies and projects adopted in the ON TO 2050 Regional Comprehensive Plan.The air quality analysis is completed twice annually, in the second quarter and the fourth quarter. The data associated with the analysis is named based on the year the analysis was completed and the quarter it was completed. Therefore, the files in these datasets are referred to as c24q2 data.The analysis years for this conformity cycle include 2019, 2025, 2030, 2035, 2040, and 2050. We associate scenario numbers with the analysis years as shown below. You will notice the scenario numbers 100–700 referenced in many of the filenames or in headers within the files.Analysis year scenario numbers:2019 | 1002025 | 2002030 | 3002035 | 4002040 | 5002050 | 700Links to download data files:Travel Demand Model Data (c24q2) - 2019 BaseTravel Demand Model Data (c24q2) - 2025 ForecastTravel Demand Model Data (c24q2) - 2030 ForecastTravel Demand Model Data (c24q2) - 2035 ForecastTravel Demand Model Data (c24q2) - 2040 ForecastTravel Demand Model Data (c24q2) - 2050 Forecast

  8. d

    Tourism Data | Travel Data | 330M+ Global Devices | CCPA Compliant

    • data.drakomediagroup.com
    Updated Sep 1, 2024
    + more versions
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    DRAKO (2024). Tourism Data | Travel Data | 330M+ Global Devices | CCPA Compliant [Dataset]. https://data.drakomediagroup.com/products/drako-tourism-data-usa-canada-330m-devices-residen-drako
    Explore at:
    Dataset updated
    Sep 1, 2024
    Dataset authored and provided by
    DRAKO
    Area covered
    Australia, South Korea, Türkiye, Spain, Japan, United States, Canada, Italy, France
    Description

    DRAKO's Mobile Ad ID Tourism Data can help you segment visitors to your geo and help power your programmatic and social media campaigns. Use our 5 year lookback, 4-5 day delay, 330M+ devices Tourism Data in Canada and the US for city planning, marketing, and advertising.

  9. United States Weekly Travel Spending: Illinois

    • ceicdata.com
    Updated Sep 26, 2020
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    CEICdata.com (2020). United States Weekly Travel Spending: Illinois [Dataset]. https://www.ceicdata.com/en/united-states/weekly-travel-spending/weekly-travel-spending-illinois
    Explore at:
    Dataset updated
    Sep 26, 2020
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Jul 11, 2020 - Sep 26, 2020
    Area covered
    United States
    Variables measured
    Tourism Statistics
    Description

    United States Weekly Travel Spending: Illinois data was reported at 0.355 USD bn in 26 Sep 2020. This records an increase from the previous number of 0.342 USD bn for 19 Sep 2020. United States Weekly Travel Spending: Illinois data is updated weekly, averaging 0.349 USD bn from Feb 2020 (Median) to 26 Sep 2020, with 34 observations. The data reached an all-time high of 0.891 USD bn in 15 Feb 2020 and a record low of 0.081 USD bn in 02 May 2020. United States Weekly Travel Spending: Illinois data remains active status in CEIC and is reported by US Travel Association. The data is categorized under Global Database’s United States – Table US.Q007: Weekly Travel Spending.

  10. Monthly Travel Trends Dashboard Data

    • catalog.data.gov
    • data.transportation.gov
    • +1more
    Updated May 8, 2024
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    Federal Highway Administration (2024). Monthly Travel Trends Dashboard Data [Dataset]. https://catalog.data.gov/dataset/monthly-travel-trends-dashboard-data
    Explore at:
    Dataset updated
    May 8, 2024
    Dataset provided by
    Federal Highway Administrationhttps://highways.dot.gov/
    Description

    Monthly VMT/12-month VMT average/Cumulative 12-month VMT

  11. p

    Travel in Missouri, United States - 3 Verified Listings Database

    • poidata.io
    csv, excel, json
    Updated Jul 11, 2025
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    Poidata.io (2025). Travel in Missouri, United States - 3 Verified Listings Database [Dataset]. https://www.poidata.io/report/travel/united-states/missouri
    Explore at:
    json, csv, excelAvailable download formats
    Dataset updated
    Jul 11, 2025
    Dataset provided by
    Poidata.io
    Area covered
    Missouri, United States
    Description

    Comprehensive dataset of 3 Travel in Missouri, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

  12. Air Travel Tracker database

    • data.wu.ac.at
    • cloud.csiss.gmu.edu
    Updated Dec 12, 2013
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    Department for International Development (2013). Air Travel Tracker database [Dataset]. https://data.wu.ac.at/odso/data_gov_uk/ZDA1YzY5NTgtM2NhNy00N2I4LTk3YjMtZTFlMzM0YjJhZDIy
    Explore at:
    Dataset updated
    Dec 12, 2013
    Dataset provided by
    Department for International Developmenthttps://gov.uk/dfid
    Description

    Database of air travel activity incurred in the execution of DFID business, including individual flights and CO2. 2010 onwards.

  13. p

    Travel in Minnesota, United States - 7 Verified Listings Database

    • poidata.io
    csv, excel, json
    Updated Jul 13, 2025
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    Poidata.io (2025). Travel in Minnesota, United States - 7 Verified Listings Database [Dataset]. https://www.poidata.io/report/travel/united-states/minnesota
    Explore at:
    csv, json, excelAvailable download formats
    Dataset updated
    Jul 13, 2025
    Dataset provided by
    Poidata.io
    Area covered
    Minnesota, United States
    Description

    Comprehensive dataset of 7 Travel in Minnesota, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

  14. W

    Database Commuting Time

    • cloud.csiss.gmu.edu
    • data.wu.ac.at
    csv, json, rdf, xml
    Updated Oct 6, 2015
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    Open Africa (2015). Database Commuting Time [Dataset]. http://cloud.csiss.gmu.edu/uddi/sr/dataset/database-commuting-time
    Explore at:
    csv, xml, rdf, jsonAvailable download formats
    Dataset updated
    Oct 6, 2015
    Dataset provided by
    Open Africa
    Description

    This dataset was obtained from the National Household Travel Survey. Due the volume of the data, it was divided in two. This dataset shows the commuting time and transport mode to work all over the country.

  15. Travel Alerts

    • catalog.data.gov
    • s.cnmilf.com
    • +1more
    Updated Mar 30, 2021
    + more versions
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    U.S. Department of State (2021). Travel Alerts [Dataset]. https://catalog.data.gov/dataset/travel-alerts
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    Dataset updated
    Mar 30, 2021
    Dataset provided by
    United States Department of Statehttp://state.gov/
    Description

    Travel Alerts are issued to disseminate information about short-term conditions, generally within a particular country, that pose imminent risks to the security of U.S. citizens. Natural disasters, terrorist attacks, coups, anniversaries of terrorist events, election-related demonstrations or violence, and high-profile events such as international conferences or regional sports events are examples of conditions that might generate a Travel Alert.

  16. Travel Market Analysis APAC, Europe, North America, South America, Middle...

    • technavio.com
    Updated Dec 15, 2024
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    Technavio (2024). Travel Market Analysis APAC, Europe, North America, South America, Middle East and Africa - US, China, France, Japan, UK - Size and Forecast 2024-2028 [Dataset]. https://www.technavio.com/report/travel-market-industry-analysis
    Explore at:
    Dataset updated
    Dec 15, 2024
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    Japan, France, United States, Global
    Description

    Snapshot img

    Travel Market Size 2024-2028

    The travel market size is forecast to increase by USD 2860.2 billion, at a CAGR of 11.1% between 2023 and 2028.

    The market is experiencing significant growth, fueled by the increasing popularity of experiential travel and the surge in international tourist footfall. This trend is driven by consumers' shifting preferences towards unique and immersive travel experiences, offering opportunities for companies to differentiate their offerings and cater to this demand. However, the market faces challenges, including the growing threat from terrorism, which can deter travelers and negatively impact the industry. Companies must navigate these challenges by implementing robust security measures and fostering transparency to reassure customers. To capitalize on market opportunities, businesses should focus on delivering personalized, authentic experiences that cater to the evolving needs of travelers. By staying attuned to these trends and addressing the challenges, companies can effectively position themselves in the competitive the market landscape.

    What will be the Size of the Travel Market during the forecast period?

    Explore in-depth regional segment analysis with market size data - historical 2018-2022 and forecasts 2024-2028 - in the full report.
    Request Free SampleIn the ever-evolving the market, various sectors continue to adapt and innovate to meet the changing needs and preferences of consumers. Business travelers seek convenience and efficiency with portable chargers, travel adaptors, and carry-on luggage, while solo travelers prioritize safety with GPS trackers and TSA locks. Sustainable tourism gains traction as eco-friendly options such as biodegradable products, carbon offsetting, and sustainable packaging become more prevalent. Medical tourism and food tourism cater to specific niches, offering unique experiences and specialized services. Travel data analytics and online booking platforms streamline the planning process, while tour guides and local experts provide valuable insights into destinations. Travel writing and journals allow travelers to document their experiences and share them with others. Luxury travel and adventure travel cater to diverse markets, with wheeled luggage, travel pillows, and hiking boots providing comfort and functionality. The marketing and social media platforms connect travelers with new experiences and destinations. Travel influencers and customer loyalty programs offer incentives and personalized recommendations. Tourism management and responsible travel initiatives prioritize the well-being of communities and the environment. Cultural tourism and destination marketing foster appreciation and understanding of diverse cultures. Rental cars and community tourism provide opportunities for authentic experiences and exploration. The market remains dynamic, with ongoing developments and trends shaping the industry. From travel accessories to travel technology, the market continues to evolve, offering new possibilities and experiences for travelers.

    How is this Travel Industry segmented?

    The travel industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments. SectorTransportationHotelTravel activitiesTypeLeisureBusinessTourCustomized & Private VacationsSafari & AdventureCruises, Yachting & Small Ship ExpeditionsCelebration JourneysCulinary Travel & ShoppingLuxury TrainsCustomized & Private VacationsSafari & AdventureCruises, Yachting & Small Ship ExpeditionsCelebration JourneysCulinary Travel & ShoppingLuxury TrainsAge21-30 Years31-40 Years41-60 Years60 And Above21-30 Years31-40 Years41-60 Years60 And AboveGeographyNorth AmericaUSEuropeFranceUKAPACChinaJapanRest of World (ROW)

    By Sector Insights

    The transportation segment is estimated to witness significant growth during the forecast period.In the thriving business travel sector, various offerings cater to the diverse needs of modern tourists. First-aid kits and biodegradable products have become essential travel accessories, reflecting a growing emphasis on health and sustainability. Travel insurance policies ensure peace of mind for business travelers, while ear plugs, eye masks, and portable chargers enhance comfort during long flights. Passport holders and sustainable packaging promote organization and eco-consciousness. Carbon offsetting and packing cubes streamline the process of planning and packing for trips. Food tourism and insect repellent cater to the adventurous palate and the need for outdoor exploration. Group travel and duffel bags offer cost savings, while hiking boots and travel data analytics facilitate efficient and enjoyable exploration. Medical tourism and travel safety services ensure well-being during international journeys. Trav

  17. Importance of data analytics to travel and hospitality companies worldwide...

    • statista.com
    • ai-chatbox.pro
    Updated Jun 27, 2025
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    Statista (2025). Importance of data analytics to travel and hospitality companies worldwide 2020 [Dataset]. https://www.statista.com/statistics/1249415/importance-of-data-analytics-to-travel-and-hospitality-companies-worldwide/
    Explore at:
    Dataset updated
    Jun 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    In 2020, executives in the global travel and hospitality industry were surveyed on the importance of customer data analytics to the business success of their company. The majority of respondents, 50 percent, stated that customer data analytics were very important to the business success of their company. Meanwhile, only one percent of respondents stated that customer data analytics were not important at all.

  18. d

    Transactional E-receipt Data | Hotel, Travel, Hospitality

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

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

    We also have cancellation emails.

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

  19. Share of travel agencies collecting and saving data digitally in Italy 2019,...

    • statista.com
    Updated Jul 10, 2025
    + more versions
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    Statista (2025). Share of travel agencies collecting and saving data digitally in Italy 2019, by type [Dataset]. https://www.statista.com/statistics/1123713/share-of-travel-agencies-collecting-and-saving-data-digitally-in-italy-by-type/
    Explore at:
    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2019
    Area covered
    Italy
    Description

    According to a survey from 2019, most Italian travel agencies collected and saved contact details of clients digitally. More specifically, ** percent of agencies claimed to do so. Moreover, ** percent of travel agencies collected and saved personal data of clients digitally in 2019.

  20. B

    Big Data Analytics in Tourism Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Apr 29, 2025
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    Data Insights Market (2025). Big Data Analytics in Tourism Report [Dataset]. https://www.datainsightsmarket.com/reports/big-data-analytics-in-tourism-1436045
    Explore at:
    pdf, ppt, docAvailable download formats
    Dataset updated
    Apr 29, 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

    The Big Data Analytics market in Tourism is experiencing robust growth, driven by the increasing volume of data generated from various sources like booking platforms, social media, and traveler reviews. This data provides invaluable insights into traveler behavior, preferences, and trends, enabling tourism businesses to personalize services, optimize operations, and improve customer experiences. The market, estimated at $10 billion in 2025, is projected to witness a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching approximately $30 billion by 2033. This growth is fueled by the rising adoption of cloud-based analytics platforms, advancements in machine learning and AI, and a growing need for data-driven decision-making in the tourism sector. Key segments driving this growth include large enterprises like airlines and hotel chains, alongside SMEs such as tour operators and travel agencies. The analysis of structured data (e.g., booking information) and unstructured data (e.g., social media posts) is crucial for a comprehensive understanding of the market. Leading technology providers like IBM, Microsoft, and Google are actively involved, offering sophisticated analytical tools and solutions tailored to the unique needs of the tourism industry. Geographical expansion is also a significant factor. North America and Europe currently hold the largest market share, but the Asia-Pacific region is expected to show rapid growth, driven by increasing tourism and technological advancements. However, challenges such as data security concerns, the complexity of integrating diverse data sources, and the lack of skilled professionals in data analytics within the tourism sector could potentially restrain market expansion. Despite these challenges, the ongoing digital transformation within the travel and hospitality industry and the increasing focus on personalized customer journeys ensure a strong outlook for Big Data Analytics in Tourism. The strategic use of analytics will be increasingly critical for tourism businesses to maintain a competitive edge and enhance their profitability in the years to come.

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Bright Data (2025). Travel Datasets [Dataset]. https://brightdata.com/products/datasets/travel

Travel Datasets

Explore at:
.json, .csv, .xlsxAvailable download formats
Dataset updated
Jul 6, 2025
Dataset authored and provided by
Bright Data
License

https://brightdata.com/licensehttps://brightdata.com/license

Area covered
Worldwide
Description

Our travel datasets provide extensive, structured data covering various aspects of the global travel and hospitality industry. These datasets are ideal for businesses, analysts, and developers looking to gain insights into hotel pricing, short-term rentals, restaurant listings, and travel trends. Whether you're optimizing pricing strategies, analyzing market trends, or enhancing travel-related applications, our datasets offer the depth and accuracy you need.

Key Travel Datasets Available:

  Hotel & Rental Listings: Access detailed data on hotel properties, short-term rentals, and vacation stays from platforms like 
    Airbnb, Booking.com, and other OTAs. This includes property details, pricing, availability, guest reviews, and amenities.

  Real-Time & Historical Pricing Data: Track hotel room pricing, rental occupancy rates, and pricing trends 
    to optimize revenue management and competitive analysis.

  Restaurant Listings & Reviews: Explore restaurant data from Tripadvisor, OpenTable, Zomato, Deliveroo, and Talabat, 
    including restaurant details, customer ratings, menus, and delivery availability.

  Market & Trend Analysis: Use structured datasets to analyze travel demand, seasonal trends, and consumer preferences 
    across different regions.

  Geo-Targeted Data: Get location-specific insights with city, state, and country-level segmentation, 
    allowing for precise market research and localized business strategies.



Use Cases for Travel Datasets:

  Dynamic Pricing & Revenue Optimization: Adjust pricing strategies based on real-time market trends and competitor analysis.
  Market Research & Competitive Intelligence: Identify emerging travel trends, monitor competitor performance, and assess market demand.
  Travel & Hospitality App Development: Enhance travel platforms with accurate, up-to-date data on hotels, restaurants, and rental properties.
  Investment & Financial Analysis: Evaluate travel industry performance for investment decisions and economic forecasting.



  Our travel datasets are available in multiple formats (JSON, CSV, Excel) and can be delivered via 
  API, cloud storage (AWS, Google Cloud, Azure), or direct download. 
  Stay ahead in the travel industry with high-quality, structured data that powers smarter decisions.
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