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

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.

USSS employee travel and expense management dataset built off of concur COTS application

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. Travel adaptors, tour guides,

Introduction

The English Travel Chat Dataset is a comprehensive collection of over 12,000 text-based conversations between customers and call center agents. Focused on real-life travel and tourism interactions, this dataset captures the language, tone, and service dynamics essential for building robust conversational AI, chatbots, and NLP solutions for the travel industry in English-speaking markets.

Participant & Chat Overview

Topic Diversity

The dataset encompasses a wide range of travel and tourism use cases across both customer-initiated and agent-initiated conversations:

This variety ensures wide applicability in both sales enablement and customer support automation.

Language Diversity & Realism

Conversations are crafted to reflect the everyday language and nuances of English-speaking travelers:

These linguistic and cultural cues enable the development of context-aware, natural-sounding AI systems.

Conversational Structure & Flow

The dataset captures a variety of interaction types, including:

The number of users in the travel & tourism market worldwide was modeled to be *********** users in 2024. Between 2017 and 2024, the number of users rose by ************** users, though the increase followed an uneven trajectory rather than a consistent upward trend. The number of users will steadily rise by ************** users over the period from 2024 to 2030, reflecting a clear upward trend.Further information about the methodology, more market segments, and metrics can be found on the dedicated Market Insights page on Travel & Tourism.

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.

******** and **************** are the top two answers among U.S. consumers in our survey on the subject of "Travel product online bookings".The survey was conducted online among 13,687 respondents in the United States, in 2025.

Info about the users' clicks and bookings on Expedia. The dataset includes information about the destination, hotel, number of visitors ... and also details about the type of reservation.

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.

According to a March 2025 study, Google and Gemini were the main travel websites and apps used by consumers in the United States as the initial source to plan and book travel. As of that month, 38 percent of U.S. consumers surveyed said they first used either Google or Gemini to research travel online, while 30 percent used these channels to compare travel prices. Meanwhile, four percent of respondents said they used ChatGPT as a first step when either researching travel online or comparing prices.

In 2023, travel spending in the United States reached **** trillion U.S. dollars. This represented an increase over the previous year's figure of **** trillion.

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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Earlier this year, Dr. Hoffman and Dr. Fafard published a book chapter on the efficacy and legality of border closures enacted by governments in response to changing COVID-19 conditions. The authors concluded border closures are at best, regarded as powerful symbolic acts taken by governments to show they are acting forcefully, even if the actions lack an epidemiological impact and breach international law. This COVID-19 travel restriction project was developed out of a necessity and desire to further examine the empirical implications of border closures. The current dataset contains bilateral travel restriction information on the status of 179 countries between 1 January 2020 and 8 June 2020. The data was extracted from the ‘international controls’ column from the Oxford COVID-19 Government Response Tracker (OxCGRT). The data in the ‘international controls’ column outlined a country’s change in border control status, as a response to COVID-19 conditions. Accompanying source links were further verified through random selection and comparison with external news sources. Greater weight is given to official national government sources, then to provincial and municipal news-affiliated agencies. The database is presented in matrix form for each country-pair and date. Subsequently, each cell is represented by datum Xdmn and indicates the border closure status on date d by country m on country n. The coding is as follows: no border closure (code = 0), targeted border closure (= 1), and a total border closure (= 99). The dataset provides further details in the ‘notes’ column if the type of closure is a modified form of a targeted closure, either as a land or port closure, flight or visa suspension, or a re-opening of borders to select countries. Visa suspensions and closure of land borders were coded separately as de facto border closures and analyzed as targeted border closures in quantitative analyses. The file titled ‘BTR Supplementary Information’ covers a multitude of supplemental details to the database. The various tabs cover the following: 1) Codebook: variable name, format, source links, and description; 2) Sources, Access dates: dates of access for the individual source links with additional notes; 3) Country groups: breakdown of EEA, EU, SADC, Schengen groups with source links; 4) Newly added sources: for missing countries with a population greater than 1 million (meeting the inclusion criteria), relevant news sources were added for analysis; 5) Corrections: external news sources correcting for errors in the coding of international controls retrieved from the OxCGRT dataset. At the time of our study inception, there was no existing dataset which recorded the bilateral decisions of travel restrictions between countries. We hope this dataset will be useful in the study of the impact of border closures in the COVID-19 pandemic and widen the capabilities of studying border closures on a global scale, due to its interconnected nature and impact, rather than being limited in analysis to a single country or region only. Statement of contributions: Data entry and verification was performed mainly by GL, with assistance from MJP and RN. MP and IW provided further data verification on the nine countries purposively selected for the exploratory analysis of political decision-making.

Intro

Booking.com provides a unique dataset based on millions of real anonymized bookings to encourage the research on sequential recommendation problems. Many travelers go on trips which include more than one destination. Our mission at Booking.com is to make it easier for everyone to experience the world, and we can help to do that by providing real-time recommendations for what their next in-trip destination will be. By making accurate predictions, we help deliver a frictionless… See the full description on the dataset page: https://huggingface.co/datasets/Booking-com/multi-destination-trip-dataset.

The 2017/2018 Regional Travel Survey (RTS) collected demographic and travel information from a randomly selected representative sample of households in the National Capital Region Transportation Planning Board (TPB) jurisdictions and adjacent areas, which comprise the TPB model region. It is the primary source of observed data to estimate, calibrate, and validate the regional travel demand model. The model in turn is used for the travel forecasting and air quality conformity analysis of the region’s long-range transportation plan as well as to support other key program activities. The survey data is also used for analyzing regional travel trends and provides a comprehensive picture of travel patterns in the region. The RTS captured information on household, person, and vehicle characteristics in the recruitment survey, and actual observed trip information in a one-day travel diary, which household members recorded details of every trip taken on their assigned travel day.The Regional Transportation Data Clearinghouse (RTDC) Regional Travel Survey (RTS) Tabulations were prepared by TPB staff to provide an online resource for the RTS data to be used by practitioners, researchers, and other stakeholders. The RTDC RTS Tabulations share the standard 2017/2018 Regional Travel Survey tabulations from the RTS which include the household, person, vehicle, and trip files. The purpose of the RTDC RTS Tabulations is to provide descriptive summaries of the data items from these files. These are first level tabulations of the RTS dataset that can be quickly pulled “off-the-shelf” when needed. Note that no cross tabulations are included in the RTDC RTS Tabulations. The user can perform customized tabulations and cross tabulations by requesting the RTS Public File.File DetailsThe RTDC_RTS_Tabulations.zip file contains the RTDC RTS Tabulations Matrix (RTDC RTS Tabulations Matrix.xlsx) that includes the tabulation variable, tabulation description, RTS source file, along with the corresponding file names. Tabulations were prepared for the entire RTS universe, in addition to County/Independent City Jurisdiction, Subregional Area, Activity Centers and Equity Emphasis Areas. For tabulations by Subregional Area, Activity Centers, and Equity Emphasis Areas, “Elsewhere” refers to outside of the TPB Planning Region but within the RTS Universe; almost all of these records are within the TPB Modeled Area. The tabulation files contain two standard data structures: 1) Universe Tabulations; 2) Jurisdiction, Subregional Area, Activity Centers, and Equity Emphasis Area Tabulations.There are two sets of RTDC RTS Tabulations contained in the following folders: 1) ‘All Records’ which includes all records in the RTS universe; and 2) ‘NotAscertRemoved’ which removed ‘not ascertained’ records before the tabulations were generated. Users should exercise discretion in determining which set of tabulations to use when conducting their analysis.Please see the Regional Travel Survey (RTS)- 'About the RTDC RTS Tabulations' Documentation for further details about the contents of this ZIP file. For more information about the RTS, please visit the RTS webpage. Should you have further questions about these tabulations or the RTS in general, please contact Ken Joh.

Estimates of international visits with details on traveller age and sex, trip purpose, length, and spending. From the International Passenger Survey (IPS).

itsmac0702/travel dataset hosted on Hugging Face and contributed by the HF Datasets community

VTC conducts research on an ongoing basis among travelers visiting the Commonwealth. This dataset contains Overnight trips of 50+ miles, one-way, with one or more nights away from home to Virginia during CY 2022 which includes a visit to a Beach/waterfront.