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.

DRAKO is a Mobile Location Data provider with a programmatic trading desk specializing in geolocation analytics and programmatic advertising. Our Consumer Travel History 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 Consumer Travel History 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 Consumer Travel History 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 Consumer Travel History 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 Consumer Travel History 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.

Monthly U.S. citizen departures are collected and reported in Tourism Industries U.S. International Air Travel Statistics (I-92 data) Program.

This dataset is taken from the dataset (https://www.kaggle.com/datasets/rkiattisak/traveler-trip-data).

Monthly estimates of overseas residents’ visits and spending and visits and spending abroad by UK or Great Britain residents. Also includes data on purpose of visit, area visited by UK residents and area of residence for overseas residents.

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

• BTSOriginUS_10_09_to_06_16.csv Air Carrier Statistics Database export, Bureau of Transportation Statistics
• SDamerican_deaths_abroad_10_09_to_06_16.csv U.S. State Department
• SDwarnings_10_09to06_16.csv U.S. State Department via Internet Archive

Charts / data visualizations

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Russia Visitor Arrivals: Travel Agencies: USA incl Hawaii data was reported at 15.000 Person th in 2017. This records a decrease from the previous number of 37.000 Person th for 2016. Russia Visitor Arrivals: Travel Agencies: USA incl Hawaii data is updated yearly, averaging 15.000 Person th from Dec 1999 (Median) to 2017, with 17 observations. The data reached an all-time high of 128.000 Person th in 2006 and a record low of 4.700 Person th in 2015. Russia Visitor Arrivals: Travel Agencies: USA incl Hawaii data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Tourism Sector – Table RU.QD012: Number of Tourists Served by Travel Agencies.

Updates are delayed due to technical difficulties. How many people are staying at home? How far are people traveling when they don’t stay home? Which states and counties have more people taking trips? The Bureau of Transportation Statistics (BTS) now provides answers to those questions through our new mobility statistics. The Trips by Distance data and number of people staying home and not staying home are estimated for the Bureau of Transportation Statistics by the Maryland Transportation Institute and Center for Advanced Transportation Technology Laboratory at the University of Maryland. The travel statistics are produced from an anonymized national panel of mobile device data from multiple sources. All data sources used in the creation of the metrics contain no personal information. Data analysis is conducted at the aggregate national, state, and county levels. A weighting procedure expands the sample of millions of mobile devices, so the results are representative of the entire population in a nation, state, or county. To assure confidentiality and support data quality, no data are reported for a county if it has fewer than 50 devices in the sample on any given day. Trips are defined as movements that include a stay of longer than 10 minutes at an anonymized location away from home. Home locations are imputed on a weekly basis. A movement with multiple stays of longer than 10 minutes before returning home is counted as multiple trips. Trips capture travel by all modes of transportation. including driving, rail, transit, and air. The daily travel estimates are from a mobile device data panel from merged multiple data sources that address the geographic and temporal sample variation issues often observed in a single data source. The merged data panel only includes mobile devices whose anonymized location data meet a set of data quality standards, which further ensures the overall data quality and consistency. The data quality standards consider both temporal frequency and spatial accuracy of anonymized location point observations, temporal coverage and representativeness at the device level, spatial representativeness at the sample and county level, etc. A multi-level weighting method that employs both device and trip-level weights expands the sample to the underlying population at the county and state levels, before travel statistics are computed. These data are experimental and may not meet all of our quality standards. Experimental data products are created using new data sources or methodologies that benefit data users in the absence of other relevant products. We are seeking feedback from data users and stakeholders on the quality and usefulness of these new products. Experimental data products that meet our quality standards and demonstrate sufficient user demand may enter regular production if resources permit.

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

The Fearless Wanderess is a travel blog dedicated to empowering women to take the plunge and explore Europe and beyond on their own terms. Claire, the founder, has spent years honing her skills as a solo traveler, having lived, studied, and worked in multiple countries during her bachelor's degree. She shares her expertise and passion for travel through in-depth guides, helpful tips, and personal anecdotes. The website features a vast array of topics, including destinations, packing lists, and travel resources, all geared towards solo female travelers.

Whether you're a seasoned traveler or just starting to plan your next adventure, The Fearless Wanderess has got you covered. From guides on the best eSIM options for Europe to recommendations for the safest places to travel alone, Claire's expert advice will help you navigate the ups and downs of solo travel. With a focus on empowering women to take control of their travels, The Fearless Wanderess is more than just a blog – it's a community of like-minded individuals who share a passion for discovering new places and cultures.

France FR: International Tourism: Expenditures: for Travel Items data was reported at 40.552 USD bn in 2016. This records an increase from the previous number of 39.269 USD bn for 2015. France FR: International Tourism: Expenditures: for Travel Items data is updated yearly, averaging 31.843 USD bn from Dec 1995 (Median) to 2016, with 22 observations. The data reached an all-time high of 48.762 USD bn in 2014 and a record low of 16.358 USD bn in 1995. France FR: International Tourism: Expenditures: for Travel Items data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s France – Table FR.World Bank.WDI: Tourism Statistics. International tourism expenditures are expenditures of international outbound visitors in other countries. The goods and services are purchased by, or on behalf of, the traveler or provided, without a quid pro quo, for the traveler to use or give away. These may include expenditures by residents traveling abroad as same-day visitors, except in cases where these are so important as to justify a separate classification. Excluded is the international carriage of travelers, which is covered in passenger travel items. Data are in current U.S. dollars.; ; World Tourism Organization, Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files.; Gap-filled total;

Please refer to the downloadable XLSX attachment for the complete dataset, metadata, and instructions for use.

On behalf of San Francisco Municipal Transportation Agency (SFMTA), Corey, Canapary & Galanis (CC&G) conducted the 2021 Mode Share Survey within the City and County of San Francisco as well as the eight surrounding Bay Area counties (Alameda, Contra Costa, San Mateo, Marin, Santa Clara, Napa, Sonoma and Solano). This study has been conducted periodically by CC&G since 2013.

Primary goals of this study include:

• Estimate mode share for trips into, within, and out of San Francisco, focusing on the percentage of trips made by walking, biking, and public transit compared to other modes (e.g. driving, TNC, etc.). This survey is the primary instrument for tracking the SFMTA Strategic Plan metric “transportation mode share” and provides information used by the agency across divisions. • Evaluation of the above statement based on the number of trips to, from, and within San Francisco by Bay Area residents. Note that trips by visitors from outside the Bay Area, and for commercial purposes whether originating in the Bay Area or not, are not included. • Provide additional trip details, including trip purpose for each trip in the mode share question series. • Collect demographic data on the population of Bay Area residents who travel to, from, and within San Francisco.

The survey was conducted as a telephone study among 756 Bay Area residents aged 18 and older. Telephone surveying was conducted during May – September 2021. Interviewing was conducted in English, Spanish, and Chinese. Surveying was conducted via random digit dial (RDD) and cell phone sample.

To enhance statistical accuracy, data was weighted by age and location. Not all totals will add to 100% due to rounding. In portions of this report, a dash (-) is used to indicate no respondents answered with the response code listed. The margin of error at the 95% confidence level is +/-3.56% for the total sample (n = 756). For other sample sizes, the margin of error is as follows:

• San Francisco residents; n = 470. Margin of error = +/- 4.52% • Bay Area residents (outside San Francisco) n = 286. Margin of error = +/- 5.79%

According to Cognitive Market Research, the global big data analytics in tourism market size is USD 222154.2 million in 2024 and will expand at a compound annual growth rate (CAGR) of 8.20% from 2024 to 2031.

North America held the major market of more than 40% of the global revenue with a market size of USD 88861.68 million in 2024 and will grow at a compound annual growth rate (CAGR) of 6.4% from 2024 to 2031.
Europe accounted for a share of over 30% of the global market size of USD 66646.26 million.
Asia Pacific held the market of around 23% of the global revenue with a market size of USD 51095.47 million in 2024 and will grow at a compound annual growth rate (CAGR) of 10.2% from 2024 to 2031.
Latin America's market has more than 5% of the global revenue, with a market size of USD 11107.71 million in 2024, and will grow at a compound annual growth rate (CAGR) of 7.6% from 2024 to 2031.
Middle East and Africa held the major market of around 2% of the global revenue with a market size of USD 4443.08 million in 2024 and will grow at a compound annual growth rate (CAGR) of 7.9% from 2024 to 2031.
The descriptive analytics category held the highest big data analytics in tourism market revenue share in 2024.

Market Dynamics of Big Data Analytics In Tourism Market

Key Drivers for Big Data Analytics In Tourism Market

Increased Tourism Industry Efficiency Will Increase the Demand Globally

Travel agencies and tour operators can comprehend market performance with the use of big data techniques. Understanding the market's supply and demand for services, projecting future supply and demand, comparing competitors, conducting segment analysis, and supply chain optimization are all beneficial. Additionally, it facilitates government agencies' comprehension of the country's tourism flow and helps them plan where to invest in a nation's tourism sector. Hotel chains employ data research to design their marketing strategies and gain a better understanding of customer preferences. Based on historical data or travel trends, the tools assist in generating pertinent packages and offers. The technologies facilitate the analysis of frequent users of the service, which benefits the customer loyalty program as well. Therefore, all of the tourism industry's verticals are more efficient due to big data techniques.

Rising Customer Desire for Personalized Travel Experiences to Propel Market Growth

One of the main factors propelling the expansion of big data analytics in tourism sector is the growing customer desire for personalized travel experiences. Travelers of today look for experiences that are customized to meet their interests, travel preferences, and travel goals rather than merely generic vacation packages. Due to this change in customer behavior, travel agencies have had to make investments in technologies that allow them to gather, process, and use enormous volumes of data in order to provide incredibly customized services and experiences. Additionally, big data analytics is essential in fulfilling this need since it enables businesses to obtain information from a variety of sources, including online. Through the analysis of this heterogeneous data, companies may discern individual inclinations, behavioral patterns, and industry trends, which empowers them to craft personalized travel experiences that appeal to every passenger.

Restraint Factor for the Big Data Analytics In Tourism Market

Need for Protecting the Security and Privacy of Sensitive Traveler Information to Limit the Sales

In the context of big data analytics in the tourism business, protecting the security and privacy of sensitive traveler information is essential. There is a chance that personal information, including financial data and travel preferences, will be revealed due to the volume of data gathered from numerous sources, including reservations for hotels, activities, and travel. Strict criteria for handling personal data are mandated by regulatory organizations, such as the GDPR in Europe or similar regulations abroad, and non-compliance carries heavy fines. Furthermore, using this data has important ethical ramifications. Travelers anticipate that their information will be treated with integrity and responsibility and that its use and protection will be transparent. Moreover, the global aspect of tourism intensifies the intricacy of adhering to privacy and security rules, given that different l...

TA: Indonesia: Package for Individual Travelers data was reported at 17.000 Person in Jun 2018. This records a decrease from the previous number of 24.000 Person for Mar 2018. TA: Indonesia: Package for Individual Travelers data is updated quarterly, averaging 7.500 Person from Mar 2014 (Median) to Jun 2018, with 18 observations. The data reached an all-time high of 24.000 Person in Mar 2018 and a record low of 0.000 Person in Dec 2014. TA: Indonesia: Package for Individual Travelers data remains active status in CEIC and is reported by Ministry of Land, Infrastructure, Transport and Tourism. The data is categorized under Global Database’s Japan – Table JP.Q023: Tourism and Leisure: Characteristics of Visitors and Trips: Travel Arrangement.

United States Travelers with Travel Plans in the Next Six Months Comparison data was reported at 65.000 % in 23 Sep 2020. This records a decrease from the previous number of 69.000 % for 09 Sep 2020. United States Travelers with Travel Plans in the Next Six Months Comparison data is updated weekly, averaging 69.000 % from Mar 2020 (Median) to 23 Sep 2020, with 21 observations. The data reached an all-time high of 87.000 % in 11 Mar 2020 and a record low of 64.000 % in 12 Aug 2020. United States Travelers with Travel Plans in the Next Six Months Comparison data remains active status in CEIC and is reported by Longwoods International. The data is categorized under Global Database’s United States – Table US.Q008: Travel Sentiment.

The Bureau of Transportation Statistics releases non-seasonally adjusted air traffic data based on monthly reports from commercial U.S. air carriers.

This table contains 45 series, with data for years 2014 - 2014 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada) Country of origin (15 items: United States; United Kingdom; France; China; ...) Traveller characteristics (3 items: Trips; Nights; Spending in Canada).

Our Travel App Report comprehensively addresses key data points within the sector and is the extensive research on the market. It includes market size projections, country-specific market share, app...

In the industries of travel, entertainment, and transportation, success hinges on understanding the intricate web of locations that shape consumer experiences. dataplor's comprehensive location intelligence dataset offers an unparalleled view into this global landscape, providing businesses and organizations with the actionable insights they need to thrive.

What's Inside the Dataset: - Venue Variety: From airports and resorts to entertainment venues and transportation hubs, our dataset covers a vast array of locations that define the TET landscape. - Detailed Profiles: Delve into the specifics of each venue, including official names, addresses, and more. - Categorization: Gain a clear understanding of each location's role within the industry through precise categorization by segment (travel, entertainment, transportation) and sub-category (e.g., athletic club, beer hall, comedy club, luxury hotel). - Location Precision: Pinpoint the exact location of each venue with latitude and longitude coordinates, ensuring accuracy for mapping, analysis, and decision-making.

How Our Data Drives Success: - Strategic Planning: Identify untapped markets, assess competition, and make informed decisions about new ventures or expansions. - Targeted Marketing: Develop tailored marketing campaigns that resonate with specific audiences based on location demographics and interests. - Resource Optimization: Improve operational efficiency by understanding the distribution and utilization of transportation infrastructure and entertainment venues. - Enhanced Customer Experiences: Utilize data-driven insights to create personalized experiences that meet the unique needs and preferences of travelers and consumers.

Empower Your Strategy: dataplor's Global Travel, Entertainment & Transportation Locations Dataset is your key to unlocking the full potential of the travel, entertainment, and transportation industries. With our precise, comprehensive, and up-to-date data, you'll gain the competitive edge needed to navigate this dynamic landscape and achieve your business goals.