100+ datasets found
  1. Data from: Ski Resorts

    • kaggle.com
    zip
    Updated Mar 23, 2023
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    Ulrik Thyge Pedersen (2023). Ski Resorts [Dataset]. https://www.kaggle.com/datasets/ulrikthygepedersen/ski-resorts
    Explore at:
    zip(2922928 bytes)Available download formats
    Dataset updated
    Mar 23, 2023
    Authors
    Ulrik Thyge Pedersen
    License

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

    Description

    Welcome to the Ski Resorts and Snow Coverage dataset! This comprehensive dataset provides information on the locations of ski resorts around the world and the snow coverage they receive throughout the winter season. Whether you're a ski enthusiast looking for the best slopes to hit or a researcher studying climate patterns, this dataset has valuable information that can help you achieve your goals.

    The dataset contains detailed information on the latitude and longitude of each ski resort, as well as the elevation, average snowfall, and snow depth measurements for each resort. This information can be used to compare and contrast different ski resorts, analyze weather patterns and trends, and make informed decisions about where to plan your next winter vacation.

    In addition to the data on ski resorts and snow coverage, the dataset also includes information on nearby amenities such as restaurants, hotels, and transportation options. This information can help you plan a complete winter vacation, taking into account not only the quality of the skiing but also the availability of other activities and services.

    Whether you're a ski enthusiast, a travel planner, or a researcher, the Ski Resorts and Snow Coverage dataset provides a wealth of valuable information that can help you make informed decisions and gain insights into the world of winter sports.

  2. Epic and Ikon Ski Resorts Dataset

    • kaggle.com
    zip
    Updated Oct 28, 2024
    + more versions
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    Rummage Labs (2024). Epic and Ikon Ski Resorts Dataset [Dataset]. https://www.kaggle.com/datasets/rummagelabs/ikon-and-epic-resorts-season-statistics
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    zip(7120 bytes)Available download formats
    Dataset updated
    Oct 28, 2024
    Authors
    Rummage Labs
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Epic and Ikon Ski Resorts 2024-2025 Dataset

    A dataset of ski resorts associated with the Epic and Ikon ski passes for the 2024-2025 season. Note that this includes Epic and Ikon resorts as well as partner resorts (e.g., resorts offering limited days access). The dataset includes key information about the resorts, such as their geographical location, skiable acres, elevation, trail count, average snowfall, and historical opening and closing dates. This data provides an overview of the ski season performance and features of these resorts. It's intended for analysis, research, and educational purposes, especially for ski enthusiasts, industry analysts, or travelers planning their next trip.

    About Epic and Ikon Ski Passes

    Epic and Ikon are two of the most prominent ski passes in North America, offering access to a large network of ski resorts worldwide. The Epic Pass, managed by Vail Resorts, and the Ikon Pass, managed by Alterra Mountain Company, allow skiers and snowboarders to explore resorts across multiple countries with a single pass. For more information, visit the official pages for Epic Pass and Ikon Pass.

    Dataset Information

    • Source: This dataset compiles information from public resources, including official ski resort websites, official ski resort social media (for opening/closing dates), Epic Pass and Ikon Pass websites, Wikipedia, OnTheSnow, SnowPak, and other public sources. Cells are each derived from one or more sources and then selected/verified. Some quantitative columns (e.g., vertical_ft, ski_season_length_days) are derived from other columns within the dataset.
    • Purpose: This dataset is intended for analysis, research, and educational use, such as exploring trends in ski resort operations, snowfall patterns, and season lengths.
    • Accuracy: While the dataset has been created with a focus on precision, there may be variations in specific resort data. For critical use, cross-checking with official resort websites is recommended.
    • Notes: Southern Hemisphere seasons are assigned to the season ending year (e.g., Jun-Aug 2024 Southern Hemisphere season is assigned to 2023-2024 ski season)

    Data Structure

    Dataset Columns

    ColumnDescription
    ski_resort_nameName of ski resort
    2024-2025_passIndicates whether the resort is part of the Epic or Ikon pass system for the 2024-2025 season
    state_or_provinceThe U.S. state or country province where the resort is located
    state_or_province_abbreviationThe official abbreviation of the U.S. state or country province
    countryThe country where the resort is located
    skiable_acresThe total skiable acres available at the resort
    base_elevation_ftThe base elevation of the resort in feet
    top_elevation_ftThe top elevation of the resort in feet
    vertical_ftThe vertical drop at the resort - this is a derived column as the difference between top and base elevation, in feet.
    trailsThe total number of trails available at the resort
    historical_average_snowfall_inchesThe average annual snowfall in inches based on historical data, largely sourced from onthesnow.com and their data
    historical_average_snowfall_daysThe average number of days with snowfall per season based on historical data, largely sourced from onthesnow.com and their data
    2021-2022_opening_dayThe resort’s opening day for the 2021-2022 season
    2021-2022_closing_dayThe resort’s closing day for the 2021-2022 season
    2022-2023_opening_dayThe resort’s opening day for the 2022-2023 season
    **2022-2023_closing_day...
  3. R

    Alpine Skiing Dataset

    • universe.roboflow.com
    zip
    Updated Jun 11, 2023
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    (2023). Alpine Skiing Dataset [Dataset]. https://universe.roboflow.com/project-gjxnt/alpine-skiing/model/1
    Explore at:
    zipAvailable download formats
    Dataset updated
    Jun 11, 2023
    License

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

    Variables measured
    Ski Bounding Boxes
    Description

    Alpine Skiing

    ## Overview
    
    Alpine Skiing is a dataset for object detection tasks - it contains Ski annotations for 205 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).
    
  4. m

    Global Ski Resort Rankings Dataset

    • data.mendeley.com
    • openicpsr.org
    Updated Sep 5, 2024
    + more versions
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    Teddie Tank (2024). Global Ski Resort Rankings Dataset [Dataset]. http://doi.org/10.17632/5thd2k26sz.1
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    Dataset updated
    Sep 5, 2024
    Authors
    Teddie Tank
    License

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

    Description

    A comprehensive dataset containing crowdsourced rankings of nearly all ski resorts worldwide. The dataset includes detailed information on each resort, such as location, snowfall, number of lifts and slopes, total slope length, and vertical drop. The dataset is updated regularly as more votes are collected.

  5. Skiing participation in the U.S. 2010-2024

    • statista.com
    Updated Nov 26, 2025
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    Statista (2025). Skiing participation in the U.S. 2010-2024 [Dataset]. https://www.statista.com/statistics/191312/participants-in-skiing-in-the-us-since-2007/
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    Dataset updated
    Nov 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    A total of ***** million U.S. Americans went skiing in 2024, which represented a slight increase over the previous year's figure of ***** million. Out of 2024's total, approximately *** million went cross-country skiing specifically, up from *** million in 2023.

  6. R

    Skiing Dataset

    • universe.roboflow.com
    zip
    Updated Feb 1, 2026
    + more versions
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    xrizs (2026). Skiing Dataset [Dataset]. https://universe.roboflow.com/xrizs-34ery/skiing-9jvoe/model/1
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    zipAvailable download formats
    Dataset updated
    Feb 1, 2026
    Dataset authored and provided by
    xrizs
    License

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

    Variables measured
    Person Bounding Boxes
    Description

    Skiing

    ## Overview
    
    Skiing is a dataset for object detection tasks - it contains Person annotations for 206 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).
    
  7. r

    Alpine skiing — United States

    • rascasse.com
    html, json
    Updated May 25, 2026
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    Rascasse (2026). Alpine skiing — United States [Dataset]. https://rascasse.com/explore/us/alpine-skiing-11912
    Explore at:
    html, jsonAvailable download formats
    Dataset updated
    May 25, 2026
    Dataset authored and provided by
    Rascasse
    License

    https://rascasse.com/terms/https://rascasse.com/terms/

    Time period covered
    2026
    Area covered
    United States
    Variables measured
    Male share, Average age, Female share, Audience size
    Measurement technique
    Search-behavior signal aggregation
    Description

    Alpine skiing audience profile for United States.

  8. Q

    Skiing (moguls) video dataset

    • qleandataset.visual-bank.co.jp
    Updated Sep 3, 2025
    + more versions
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    Visual Bank Inc. (2025). Skiing (moguls) video dataset [Dataset]. https://qleandataset.visual-bank.co.jp/en/lineup/ds-037
    Explore at:
    Dataset updated
    Sep 3, 2025
    Dataset authored and provided by
    Visual Bank Inc.
    License

    https://qleandataset.visual-bank.co.jp/en/contacthttps://qleandataset.visual-bank.co.jp/en/contact

    Measurement technique
    mp4
    Description

    This is a video dataset of a man skiing (mogul skiing). [Details] Category: Video / Subjects: Two Japanese male skiers in their 20s / Format: mp4 [Notes] [Shooting Time] 14 minutes 23 seconds
    [Shooting Environment] Outdoors (ski resort)
    [Shooting Distance/Angle] Simultaneous shooting from two angles

  9. Q

    Skiing (Giant Slalom) video dataset

    • qleandataset.visual-bank.co.jp
    Updated Sep 3, 2025
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    Visual Bank Inc. (2025). Skiing (Giant Slalom) video dataset [Dataset]. https://qleandataset.visual-bank.co.jp/en/lineup/ds-035
    Explore at:
    Dataset updated
    Sep 3, 2025
    Dataset authored and provided by
    Visual Bank Inc.
    License

    https://qleandataset.visual-bank.co.jp/en/contacthttps://qleandataset.visual-bank.co.jp/en/contact

    Measurement technique
    mp4
    Description

    This is a video dataset of men and women skiing (giant slalom). [Details] Category: Video / Subjects: Two Japanese skiers in their 20s, a man and a woman / Format: mp4 [Notes] [Shooting Time] 13 minutes 39 seconds
    [Shooting Environment] Outdoors (ski resort)
    [Shooting Distance/Angle] Simultaneous shooting from two angles

  10. i

    Skiing Data Analysis

    • ieee-dataport.org
    Updated Mar 9, 2025
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    Ales Prochazka (2025). Skiing Data Analysis [Dataset]. https://ieee-dataport.org/documents/skiing-data-analysis
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    Dataset updated
    Mar 9, 2025
    Authors
    Ales Prochazka
    License

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

    Description

    training

  11. Ski Resort

    • kaggle.com
    zip
    Updated Jul 22, 2024
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    Farheenshaukat (2024). Ski Resort [Dataset]. https://www.kaggle.com/datasets/farheenshaukat/ski-resort/code
    Explore at:
    zip(2922928 bytes)Available download formats
    Dataset updated
    Jul 22, 2024
    Authors
    Farheenshaukat
    Description

    Data on 500 ski resorts around the world, including details on their location, prices, slopes, lifts, and seasons, as well as a complementary table with the snow cover around the world for each month of 2022.

    This file resorts contain the columns:

    ID: Unique identifier for each resort

    Resort: Name of the ski & snowboard resort

    Latitude: Latitude for the resort's location

    Longitude: Longitude for the resort's location

    Country: Country in which the resort is located

    Continent: Continent in which the resort is located

    Price: Ski pass cost for 1 adult for 1 day in the main season (Euro - €)

    Season: Normal start and end of the ski season at the resort (note that it allways will depend on the weather and snowfall)

    Highest point: Highest mountain point at the resort (meters)

    Lowest point: Lowest possible point to ski at the resort (meters)

    Beginner slopes: Total length of "children", "blue", and "green" slopes at the resort (km)

    Intermediate slopes: Total length of "red" slopes at the resort (km)

    Difficult slopes: Total length of "black", "advanced", and "expert" slopes at the resort (km)

    Total slopes: Total length of slopes at the resort (km)

    Longest run: Longest possible continuous run at the ski resort (km)

    Snow cannons: Total amount of snow cannons at the resort

    Surface lifts: Total number of surface lifts, including T-bar, Sunkidslift, Rope lifts and people mover

    Chair lifts: Total number of chair lifts

    Gondola lifts: Total number of gondola lifts, including Gondola, Train lifts, Funicular, Combined gondola and chairlifts, Helicopter lifts, Snowcats and Aerial tramways

    Total lifts: Total number of lifts

    Lift capacity: Number of passengers the resort's lift system can move in an hour

    Child friendly: Is the ski resort child friendly?

    Snowparks: Does the resort have one or more snowparks?

    Nightskiing: Does the resort offer skiing on illuminated slopes?

    Summer skiing: Does the resort offer skiing during the summer?

    The file snow contain data:

    Month: Date to represent the month of the year (not just the first day)

    Latitude: Latitude at the center of the region (every "region" is 0.25x0.25 degrees in size)

    Longitude: Longitude at the center of the region (every "region" is 0.25x0.25 degrees in size)

    Snow: Percent of time the region was covered in snow during the month

  12. C

    Ski Resort Map

    • data.colorado.gov
    csv, xlsx, xml
    Updated Feb 8, 2016
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    (2016). Ski Resort Map [Dataset]. https://data.colorado.gov/Recreation/Ski-Resort-Map/35wy-bjgu
    Explore at:
    xml, xlsx, csvAvailable download formats
    Dataset updated
    Feb 8, 2016
    Description

    Map of Colorado Ski Resorts

  13. w

    Global Indoor Ski Area Market Research Report: By Type of Facility (Indoor...

    • wiseguyreports.com
    Updated Apr 20, 2026
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    WiseGuy Research Consultants Pvt Ltd (2026). Global Indoor Ski Area Market Research Report: By Type of Facility (Indoor Ski Resorts, Ski Parks, Ski Training Centers, Ski Entertainment Venues), By Visitor Demographics (Families, Professionals, Tourists, Adventure Seekers), By Activities Offered (Skiing, Snowboarding, Ski Lessons, Snow Play Areas), By Revenue Source (Admission Fees, Equipment Rentals, Food and Beverage Sales, Merchandising) and By Regional (North America, Europe, South America, Asia Pacific, Middle East and Africa) | Includes: Vendor Assessment, Technology Impact Analysis, Partner Ecosystem Mapping & Competitive Index - Forecast to 2035 [Dataset]. https://www.wiseguyreports.com/reports/indoor-ski-area-market
    Explore at:
    Dataset updated
    Apr 20, 2026
    Dataset authored and provided by
    WiseGuy Research Consultants Pvt Ltd
    License

    https://www.wiseguyreports.com/pages/privacy-policyhttps://www.wiseguyreports.com/pages/privacy-policy

    Time period covered
    2019 - 2035
    Area covered
    Global
    Description

    Indoor Ski Area Market Overview: Indoor Ski Area Market Overview: The Indoor Ski Area Market Size was valued at 3,360 USD Million in 2024. The Indoor Ski Area Market is expected to grow from 3,480 USD Million in 2025 to 5 USD Billion by 2035. The Indoor Ski Area Market CAGR (growth rate) is expected to be around 3.7% during the forecast period (2025 - 2035). Key Indoor Ski Area Market Trends Highlighted The Global Indoor Ski Area Market has been witnessing significant trends driven by the increasing popularity of winter sports among urban populations and the desire for unique leisure experiences. Factors contributing to this surge include the availability of year-round skiing options that cater to regions without natural snow, thereby broadening the accessibility of winter sports to a larger audience. Additionally, advancements in technology have enabled the development of more realistic indoor skiing environments, attracting more visitors and encouraging those who may not traditionally engage in skiing to experience the sport. There is also a growing emphasis on sustainability and eco-friendliness, with many indoor ski facilities incorporating energy-efficient systems and sustainable practices in their operations.Opportunities in the market can be explored through the integration of complementary activities such as snowboarding, snow tubing, and leisure amenities like restaurants and retail shops within the indoor ski areas. This diversification not only enhances customer experience but also maximizes revenue streams. Moreover, partnerships with local governments and tourism boards can lead to enhanced promotional efforts, drawing significant tourist numbers to these facilities. In recent times, trends show a shift towards creating more immersive and family-friendly environments within indoor ski areas. This evolution aligns with the growing demand for multi-generational leisure activities that cater to families seeking all-inclusive entertainment options.As global interest in winter sports continues to rise, the potential for new indoor ski locations in urban centers remains strong, highlighting the market's dynamic nature and adaptability to consumer preferences. Source: Primary Research, Secondary Research, WGR Database and Analyst Review Indoor Ski Area Market Segment Insights: Indoor Ski Area Market Regional Insights The Global Indoor Ski Area Market exhibits varied regional dynamics, with each segment reflecting distinct trends and growth potential. Europe holds a significant position in the market, valued at 1,400 USD Million in 2024 and projected to reach 2,000 USD Million in 2035, thus dominating the market landscape. This region benefits from a strong demand for winter sports and leisure activities, often drawing tourism from around the world. North America is another vital area of growth, showcasing a steady expansion, due to increasing interest in indoor skiing venues and facilities.The Asia-Pacific market (APAC) is witnessing a moderate increase, fueled by rising disposable incomes and a growing appetite for winter sports among the youth, while South America and the Middle East and Africa (MEA) regions reflect gradual growth, driven by tourism and leisure activities keen on winter sports experiences. These regional dynamics provide a nuanced understanding of the Global Indoor Ski Area Market segmentation. As leisure activities evolve and consumer preferences shift, the market is positioned well for growth opportunities ahead. Source: Primary Research, Secondary Research, WGR Database and Analyst Review • North America : The Indoor Ski Area Market in North America is driven by increasing urbanization and the rise of eco-tourism trends. The adoption of smart technologies, including AIoT for enhanced user experiences, is growing. Key policies like the Green New Deal aim to promote sustainable practices in entertainment sectors, encouraging investments. • Europe : Europe shows robust growth in the Indoor Ski Area Market, propelled by urban development and demand for year-round snow sports. Policies promoting carbon neutrality by 2050 drive investment in infrastructure. Adoption of electric vehicles enhances infrastructure sustainability, and smart surveillance is increasingly utilized for safety. • APAC : The APAC region exhibits rapid growth in the Indoor Ski Area Market, fueled by rising disposable incomes and interest in winter sports. The integration of smart manufacturing technologies is streamlining o

  14. e

    Simple download service (Atom) of the dataset: Gravitary envelope of alpine...

    • data.europa.eu
    unknown
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    Simple download service (Atom) of the dataset: Gravitary envelope of alpine ski area in Haute-Savoie [Dataset]. https://data.europa.eu/data/datasets/fr-120066022-srv-e2c3ef17-049a-4be9-8457-55f37a3d575b
    Explore at:
    unknownAvailable download formats
    Area covered
    Haute-Savoie
    Description

    Space in which the location of the ski lifts and the configuration of the terrain allow the presence of skiers (and similar practices), even in the absence of slopes. This envelope corresponds to the snow-covered areas accessible to skiers from the top of the ski lifts of a ski area (within the meaning of Article R.122-4 of the Planning Code), and driving them naturally by gravity to the feet on a ski slope or a ski lift departure from the same ski area. It includes “off-piste” areas, but does not have any area unsuitable for skiing due to the difficulty of the terrain (rock bars, too steep slopes, avalanche equipment...), too dense afforestation, a ban regulations (to ensure the conservation of animal species...) or snow conditions too random. This envelope cannot be equated with the right-of-way of the alpine ski slopes or the contour of the ski area (within the meaning of Article R. 122-4 of the Urban Planning Code). It only allows us to have an approximation of it, in keeping with the principle that ski slopes must allow a ski lift to be used again in the same ski area. It proves useful in terms of graphical representation of the right-of-way of ski areas and on a practical level, to locate the construction of runways and snowmaking facilities located on a “virgin site” and “off-site” Virgin" (notions taken into account in the definition of new structuring tourist units).

    All ski areas accessible from the resorts of Haute-Savoie are represented, served by at least 3 ski lifts authorised to operate.

  15. S

    Skiing Facilities Market Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Jan 30, 2026
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    Data Insights Market (2026). Skiing Facilities Market Report [Dataset]. https://www.datainsightsmarket.com/reports/skiing-facilities-market-7484
    Explore at:
    doc, ppt, pdfAvailable download formats
    Dataset updated
    Jan 30, 2026
    Dataset authored and provided by
    Data Insights Market
    License

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

    Time period covered
    2026 - 2034
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The size of the Skiing Facilities Market market was valued at USD 3.78 Million in 2023 and is projected to reach USD 5.09 Million by 2032, with an expected CAGR of 4.35% during the forecast period. Recent developments include: October 2023: Mountain Capital Partners (MCP) and Sandia Peak Ski Company have announced a joint venture agreement for the operation of Sandia Peak Ski Area, located near Albuquerque, New Mexico., April 2023: Mountain Capital Partners (MCP) Acquired Lee Canyon Ski Resort, located outside of Las Vegas, Nevada, from POWDR Corporation.. Key drivers for this market are: Demand for Winter Sports and Outdoor Recreation. Potential restraints include: Unpredictable Weather Conditions. Notable trends are: Increase in Ski Equipment and Supplies Stores.

  16. Q

    Giant Slalom Skiing Image Dataset

    • qleandataset.visual-bank.co.jp
    Updated Oct 23, 2025
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    Visual Bank Inc. (2025). Giant Slalom Skiing Image Dataset [Dataset]. https://qleandataset.visual-bank.co.jp/en/lineup/ds-036
    Explore at:
    Dataset updated
    Oct 23, 2025
    Dataset authored and provided by
    Visual Bank Inc.
    License

    https://qleandataset.visual-bank.co.jp/en/contacthttps://qleandataset.visual-bank.co.jp/en/contact

    Measurement technique
    jpeg
    Description

    This is a video dataset of men and women skiing (giant slalom). [Details] Category: Image / Subjects: Two Japanese skiers in their 20s, a man and a woman / Format: jpeg [Notes] [Shooting Environment] Outdoors (ski resort)
    [Shooting Distance/Angle] Simultaneous shooting from two angles

  17. c

    Skiing, 1969

    • datacatalogue.cessda.eu
    Updated Nov 29, 2024
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    Consumers' Association (2024). Skiing, 1969 [Dataset]. http://doi.org/10.5255/UKDA-SN-69001-1
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    Dataset updated
    Nov 29, 2024
    Authors
    Consumers' Association
    Area covered
    United Kingdom
    Variables measured
    Individuals, Amenity users, Consumers, Skiers, Which? (periodical) subscribers, National
    Measurement technique
    Postal survey
    Description

    Abstract copyright UK Data Service and data collection copyright owner.

    Data accumulated from Consumers' Association surveys are designed to be used by the consumer. The surveys are, therefore, very specific in nature and the subjects covered diverse. The Data Archive holds 19 such surveys.
    Readers are asked to note that, with the exception of the surveys on the Telephone Service - 69004, 69016, respondents surveyed are self selected from subscribers to the Association's magazine Which? and so the surveys cannot singly be used in descriptive accounts of the British public.
    Surveys 69005-69012 cover various aspects of the housing experiences of Which? readers who moved house in 1967 and 1968. It is here particularly important to remember that the choice strategies and the resources of Which? readers are unlikely to be typical.
    Main Topics:

    Topics covered include: the resort (amenities available and respondent rating); if first time at resort, reason for choice is given; the hotel (respondent rating on a value-for-money basis); skiing facilities (i.e. instruction in English, ski-lifts, restaurants etc.) together with lay out of runs, safety restrictions etc. - assessed with all levels of skiers in mind; pre-holiday preparation (i.e. preparation for skiing - `dry-skiing' facilities used, pre-ski exercises done - assessed for usefulness); travel arrangements and cost (i.e. how booked, assessment of agency service if used, method of transportation, cost of package holiday and what the price included etc.); insurance (how arranged, cover of policy, cost of premium, satisfaction with outcome of any claims made); skiing equipment used; membership of skiing or touring clubs; previous skiing experience; main reason for going on a skiing holiday.

  18. D

    Cat Skiing Tourism Market Research Report 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Sep 30, 2025
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    Dataintelo (2025). Cat Skiing Tourism Market Research Report 2033 [Dataset]. https://dataintelo.com/report/cat-skiing-tourism-market
    Explore at:
    pptx, pdf, csvAvailable download formats
    Dataset updated
    Sep 30, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2025 - 2034
    Area covered
    Global
    Description

    Cat Skiing Tourism Market Outlook



    According to our latest research, the cat skiing tourism market size reached USD 1.27 billion globally in 2024, reflecting a strong growth trajectory driven by increasing adventure tourism demand and enhanced accessibility to remote ski destinations. The market is projected to expand at a robust CAGR of 7.9% from 2025 to 2033, which would see it attain a value of approximately USD 2.54 billion by 2033. This growth is primarily fueled by evolving consumer preferences for unique, off-the-beaten-path winter experiences and the continuous development of specialized services catering to adventure seekers. As per our latest research, the combination of rising disposable incomes, improved marketing strategies, and technological advancements in booking and service delivery is significantly bolstering the global cat skiing tourism market.




    One of the primary growth factors for the cat skiing tourism market is the increasing popularity of adventure tourism among millennials and Generation Z. These demographics are actively seeking adrenaline-pumping activities and are more willing to spend on unique travel experiences compared to previous generations. Cat skiing, which offers access to untouched powder and remote mountain terrains, aligns perfectly with this demand for exclusivity and thrill. The proliferation of social media platforms has further amplified this trend, as visually captivating content from cat skiing adventures inspires a wider audience to pursue similar experiences. Additionally, the growing emphasis on health, wellness, and outdoor activities post-pandemic has motivated more individuals to explore winter sports, driving up demand for cat skiing packages globally.




    Technological advancements in booking platforms and service delivery are also playing a crucial role in market expansion. The integration of user-friendly online travel agencies and direct booking systems has simplified the reservation process for cat skiing tours, making these experiences more accessible to a global clientele. Enhanced digital marketing strategies, including targeted advertising and influencer partnerships, have increased visibility and awareness of cat skiing destinations. Furthermore, improvements in snowcat machinery and safety equipment have reduced operational risks, encouraging more operators to enter the market and expand their offerings. These innovations not only improve customer satisfaction but also streamline operations, leading to higher profitability for service providers.




    Another significant contributor to market growth is the expansion of service offerings by cat skiing operators. Companies are increasingly bundling guided tours, equipment rentals, accommodation packages, and transportation services to provide comprehensive solutions for travelers. This all-inclusive approach caters to both novice and experienced skiers, ensuring a seamless and hassle-free experience from arrival to departure. The introduction of tailored packages for groups, corporate retreats, and luxury travelers has broadened the market’s appeal, attracting a diverse clientele. As a result, operators are witnessing higher booking rates and improved customer retention, further propelling the growth of the cat skiing tourism market.




    From a regional perspective, North America continues to dominate the cat skiing tourism market, accounting for the largest share in 2024. The region benefits from a well-established winter sports culture, extensive mountain ranges, and a high concentration of premium ski resorts. Europe follows closely, driven by rising interest in alternative skiing experiences and the presence of renowned alpine destinations. The Asia Pacific region is emerging as a lucrative market, supported by increasing disposable incomes, growing adventure tourism, and government initiatives to promote winter sports. Latin America and the Middle East & Africa, while smaller in scale, are witnessing gradual growth as operators explore new terrains and cater to niche adventure travel segments. Overall, the global cat skiing tourism market is characterized by dynamic regional trends, with each area presenting unique opportunities and challenges for market participants.



    Service Type Analysis



    The service type segment is a crucial driver in the cat skiing tourism market, reflecting the diverse needs and preferences of adventure travelers. Guided tours represent the backbone of this se

  19. Proportions male/female (Odds) and Odds ratios (OR) of more skilled/less...

    • plos.figshare.com
    xls
    Updated Jun 4, 2023
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    Friedrich Brunner; Gerhard Ruedl; Martin Kopp; Martin Burtscher (2023). Proportions male/female (Odds) and Odds ratios (OR) of more skilled/less skilled skiers with respect to perception of skiing speed. [Dataset]. http://doi.org/10.1371/journal.pone.0132002.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Friedrich Brunner; Gerhard Ruedl; Martin Kopp; Martin Burtscher
    License

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

    Description

    Proportions male/female (Odds) and Odds ratios (OR) of more skilled/less skilled skiers with respect to perception of skiing speed.

  20. d

    Cross Country Ski Trips from Garmin - February 2015

    • search.dataone.org
    Updated Dec 5, 2021
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    Jiri Kadlec (2021). Cross Country Ski Trips from Garmin - February 2015 [Dataset]. https://search.dataone.org/view/sha256%3A8bfc52feca326ce257408eb9611ae0c9dd0d3f2b8e66df0c6cfb74c8e2a12b9a
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    Dataset updated
    Dec 5, 2021
    Dataset provided by
    Hydroshare
    Authors
    Jiri Kadlec
    Description

    Cross country skiing trips from 6-9 February, 2015 from Czechia, downloaded using the Garmin Connect (connect.garmin.com/explore) API. I used the category "cross country skiing" to retrieve a total of 150 gpx routes. The routes were converted from the .gpx format to a line shapefile (.shp). Each feature represents one trip with information about trip start time and trip end time. The projection of the shapefile is WGS1984.

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Ulrik Thyge Pedersen (2023). Ski Resorts [Dataset]. https://www.kaggle.com/datasets/ulrikthygepedersen/ski-resorts
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Data from: Ski Resorts

Which resort had the most snow? How does it affect the price of skipasses?

Related Article
Explore at:
zip(2922928 bytes)Available download formats
Dataset updated
Mar 23, 2023
Authors
Ulrik Thyge Pedersen
License

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

Description

Welcome to the Ski Resorts and Snow Coverage dataset! This comprehensive dataset provides information on the locations of ski resorts around the world and the snow coverage they receive throughout the winter season. Whether you're a ski enthusiast looking for the best slopes to hit or a researcher studying climate patterns, this dataset has valuable information that can help you achieve your goals.

The dataset contains detailed information on the latitude and longitude of each ski resort, as well as the elevation, average snowfall, and snow depth measurements for each resort. This information can be used to compare and contrast different ski resorts, analyze weather patterns and trends, and make informed decisions about where to plan your next winter vacation.

In addition to the data on ski resorts and snow coverage, the dataset also includes information on nearby amenities such as restaurants, hotels, and transportation options. This information can help you plan a complete winter vacation, taking into account not only the quality of the skiing but also the availability of other activities and services.

Whether you're a ski enthusiast, a travel planner, or a researcher, the Ski Resorts and Snow Coverage dataset provides a wealth of valuable information that can help you make informed decisions and gain insights into the world of winter sports.

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