100+ datasets found
  1. R

    skiing Dataset

    • universe.roboflow.com
    zip
    Updated Sep 7, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    강호균 (2022). skiing Dataset [Dataset]. https://universe.roboflow.com/-mj1ln/skiing
    Explore at:
    zipAvailable download formats
    Dataset updated
    Sep 7, 2022
    Dataset authored and provided by
    강호균
    License

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

    Variables measured
    Helmet Bounding Boxes
    Description

    Here are a few use cases for this project:

    1. Safety Monitoring: This model could be used in ski resorts for real-time monitoring of skiers, enabling authorities to enforce helmet rules and reduce the risk of injury.

    2. Sport Event Analysis: During professional ski competitions, this model might provide real-time analysis, identifying which competitors are wearing helmets and potentially categorizing them based on the type or color of their helmets.

    3. Development of Smart Cameras: Integrating this model into smart cameras could enable them to automatically identify and focus on skiers with helmets, useful for specific filming or photography needs.

    4. Insurance Investigations: Insurance companies might use this model to enhance their investigation process for winter sport accidents and determine if claimants were following safety protocols like wearing a helmet.

    5. AI Ski Coaching: This model can be incorporated into an AI-based ski coaching system in which the model identifies if the trainee is wearing a helmet or not, providing real-time feedback, enhancing safety, and providing an all-around learning experience.

  2. Global Ski Market Size By Product Type (Skis and Poles, Ski Boots, Ski...

    • verifiedmarketresearch.com
    Updated Jul 10, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    VERIFIED MARKET RESEARCH (2024). Global Ski Market Size By Product Type (Skis and Poles, Ski Boots, Ski Protective Gear and Accessories), By Distribution Channels (Online, Offline), By Geographic Scope and Forecast [Dataset]. https://www.verifiedmarketresearch.com/product/ski-market/
    Explore at:
    Dataset updated
    Jul 10, 2024
    Dataset provided by
    Verified Market Researchhttps://www.verifiedmarketresearch.com/
    Authors
    VERIFIED MARKET RESEARCH
    License

    https://www.verifiedmarketresearch.com/privacy-policy/https://www.verifiedmarketresearch.com/privacy-policy/

    Time period covered
    2024 - 2031
    Area covered
    Global
    Description

    Ski Market size was valued at USD 1.35 Billion in 2023 and is projected to reach USD 1.72 Billion by 2031, growing at a CAGR of 3.37% from 2024 to 2031.

    Global Ski Market Drivers

    Growing Participation Rates: One major factor driving the ski business is the growing appeal of skiing as a competitive sport and leisure activity. Skiing is becoming more popular as a recreational sport, with increased participation rates observed worldwide. Skiing’s appeal as a sociable and family-friendly hobby and rising knowledge of the health advantages of outdoor activities are driving this trend.

    Growing Disposable Income: Because skiing involves expensive equipment and related expenses like lift tickets and lodging, it is frequently connected with rich demographics. Demand for ski goods is being driven by rising disposable incomes, particularly in emerging economies where more people can afford to buy equipment and take skiing vacations.

    Ski Resort Expansion: To draw guests and improve the skiing experience, ski resorts are always growing and improving their amenities. Infrastructure improvements that increase skiers’ comfort and accessibility, such as high-speed lifts, snowmaking systems, and slope grooming equipment, support the expansion of the ski industry.

    Technological Developments in Equipment: The development of ski equipment, such as boots, bindings, clothing, and skis, is a key factor in the market’s expansion. Both new and seasoned skiers are drawn to the advanced materials, enhanced design, and features such as integrated electronic systems and rocker profiles that improve performance, safety, and comfort.

    Winter Sports Tourism: One of the main draws for travellers to areas with good snow conditions is skiing, which contributes significantly to the industry. Ski resorts all around the world vie for visitors by providing a variety of terrain, après-ski activities, and cultural encounters. The ski industry is further propelled by government efforts and marketing activities that promote winter tourism.

    Shifting Populations: The ski industry is impacted by changes in demographic trends, such as an ageing population and rising urbanisation. The demand for skiing experiences and associated goods and services is influenced by two factors: urban inhabitants wanting outdoor leisure possibilities and older persons seeking active lifestyles.

    Environmental Elements: The performance of the ski market is impacted by climate change and weather patterns, which have a major impact on snowfall levels and ski conditions. To counteract the consequences of climate change and guarantee a steady supply of snow, ski resorts are making investments in sustainable practices and snowmaking equipment, which will support the industry’s further expansion.

  3. c

    Skiing, 1969

    • datacatalogue.cessda.eu
    Updated Aug 9, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Consumers' Association (2023). Skiing, 1969 [Dataset]. http://doi.org/10.5255/UKDA-SN-69001-1
    Explore at:
    Dataset updated
    Aug 9, 2023
    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.

  4. Best ski areas worldwide 2024, by ski index score

    • statista.com
    • suissenights24.net
    Updated Jan 18, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2024). Best ski areas worldwide 2024, by ski index score [Dataset]. https://www.statista.com/statistics/1427921/ski-resorts-world-ranking/
    Explore at:
    Dataset updated
    Jan 18, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Worldwide
    Description

    In 2024, France's Les Trois Vallées was ranked as the best ski area in the world, achieving a ski index score of 84.42 out of 100. Meanwhile, Les Portes du Soleil on the French-Swiss border ranked second, with a score of 76.71.

  5. Skiing participation in the U.S. 2010-2023

    • zadiego.site
    • larep-italiana.com
    • +2more
    Updated Jun 19, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista Research Department (2024). Skiing participation in the U.S. 2010-2023 [Dataset]. https://zadiego.site/?_=%2Fstudy%2F18482%2Fwinter-sports--statista-dossier%2F%23q%2BHSe5sawg14lPuWlIZDFCOv1Tjbw10%3D
    Explore at:
    Dataset updated
    Jun 19, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    United States
    Description

    A total of 18.46 million U.S. Americans went skiing in 2023, which was an increase of about four percent over the figure reported in the previous year. Out of that number, approximately 5.32 million went cross-country skiing specifically, up from 4.85 million in 2022.

  6. T

    Detailed Analysis of the Mountain and Ski Resorts Market by Skiing,...

    • futuremarketinsights.com
    csv, pdf
    Updated Jul 19, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Future Market Insights (2023). Detailed Analysis of the Mountain and Ski Resorts Market by Skiing, Trekking, Rides, Sledding, Snowmobiling, and Others 2023 to 2033 [Dataset]. https://www.futuremarketinsights.com/reports/mountain-and-ski-resorts-sector-overview
    Explore at:
    csv, pdfAvailable download formats
    Dataset updated
    Jul 19, 2023
    Dataset authored and provided by
    Future Market Insights
    License

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

    Time period covered
    2023 - 2033
    Area covered
    Worldwide
    Description

    As per newly released data by Future Market Insights (FMI), the mountain and ski resorts market is estimated at US$ 15.8 billion in 2023 and is projected to reach US$ 50.4 billion by 2033, at a CAGR of 12.3% from 2023 to 2033.

    AttributesDetails
    Mountain and Ski Resorts Market CAGR (2023 to 2033)12.3%
    Mountain and Ski Resorts Market Size (2023)US$ 15.8 billion
    Mountain and Ski Resorts Market Size (2033)US$ 50.4 billion

    Regional Analysis

    CountriesMarket Share (2022)
    United States5%
    Germany3.9%
    Japan4%
    Australia5.5%
  7. g

    National Skiing Market Survey, 1978 - Archival Version

    • search.gesis.org
    Updated Jul 13, 2021
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    United States Department of Agriculture. Forest Service (2021). National Skiing Market Survey, 1978 - Archival Version [Dataset]. http://doi.org/10.3886/ICPSR07801
    Explore at:
    Dataset updated
    Jul 13, 2021
    Dataset provided by
    ICPSR - Interuniversity Consortium for Political and Social Research
    GESIS search
    Authors
    United States Department of Agriculture. Forest Service
    Description

    Abstract (en): This survey was conducted in 1978 to determine the nature of the national market that existed for snow skiers and snow skiing equipment. There were three distinct types of respondents: (1) active skiers, i.e., individuals who had skied since November 1977, (2) inactive skiers, i.e., individuals who had skied in the past but not since November 1977, and (3) potential skiers, i.e., individuals who had never skied, but might try in the next few years. Part 1 contains data for 601 active skiers, e.g., preferences for, skill level, and number of years experience in downhill and cross-country skiing, the locations (both within and outside the United States) where respondents had skied, number of days skied in the past season, type and duration of ski vacations, and total days skiing over the past five years. Other data include projected increase or decrease in participation level, attitude toward cost of ski-related items, and whether cost had kept respondents from skiing. Part 2 contains more data gathered from the same group of active skiers, including preferences for skiing alone or with others, adequacy of ski facilities, and images of downhill skiing. This file also supplies respondent background information, e.g., age, sex, marital status, employment of spouse, number of children, occupation, number of times moved in last five years, place of residence, income, and education. Part 3 contains data for 676 inactive skiers, with the same variables as Part 1, plus data for the number of years since last skied, reasons for not skiing since then, and when resumption of skiing would occur. This file also records inactive skiers' preferences for skiing alone or with others, adequacy of ski facilities, and images of downhill skiing. Part 4 contains background data gathered from the 676 inactive skiers. Part 5 provides data on 1,003 potential skiers, e.g., interest in skiing, readership about and television viewing of skiing, members of the family who had ever skied, reasons for not taking up skiing, whether cost was a contributing factor for not skiing, adequacy of ski facilities, attitude toward the cost of ski-related items, images of downhill skiing, and ownership of various recreational equipment. Part 6 contains additional data for the same group of potential skiers, e.g., recreational activities respondents would choose to participate in and states where respondents would choose to ski. The same types of background information collected in Parts 2 and 4 are contained in this file as well. Snow skiing in the United States. 2006-01-18 File CB7801.PDF was removed from any previous datasets and flagged as a study-level file, so that it will accompany all downloads.

  8. d

    The relative importance of ski resort- and weather-related characteristics...

    • b2find.dkrz.de
    Updated Oct 22, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2023). The relative importance of ski resort- and weather-related characteristics when going alpine skiing: data from a rating-based conjoint survey - Dataset - B2FIND [Dataset]. https://b2find.dkrz.de/dataset/a141052f-ad23-5e71-866a-317a1f676731
    Explore at:
    Dataset updated
    Oct 22, 2023
    Description

    The data are related to two research articles: “The relative importance of ski resort-and weather-related characteristics when going alpine skiing” [1] and “Optimal pricing of alpine ski passes in the case of crowdedness and reduced skiing capacity” [2]. A rating-based conjoint survey experiment on active alpine skiers at a big ski area located in Inland Norway was performed in February of 2018 to collect the data and pertain to 400 respondents doing more than 7200 ratings. A total of ten versions of the same questionnaire type were used to obtain information about preferences on ski resort- and weather-related characteristics when going alpine skiing. We display the raw data organized such that they can be easily downloaded and used directly to either (1) replicate the analyses performed in the related research articles, or (2) run one’s own analyses on the topic of interest. The data may also be useful to lecturers teaching students about the key concepts of survey experiments and causal modelling.

  9. w

    Skiing

    • workwithdata.com
    Updated May 3, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Work With Data (2024). Skiing [Dataset]. https://www.workwithdata.com/object/skiing-book-by-jeremy-evans-0000
    Explore at:
    Dataset updated
    May 3, 2024
    Dataset authored and provided by
    Work With Data
    License

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

    Description

    The author Jeremy Evans has written the book Skiing which was published in 1992 by Heinemann. The book's ISBN is 0431005931 and it is in the English language.

  10. Ski & Snowboard Resorts in the US – Market Size, Industry Analysis, Trends...

    • ibisworld.com
    Updated Mar 15, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    IBISWorld (2024). Ski & Snowboard Resorts in the US – Market Size, Industry Analysis, Trends and Forecasts(2024-2029) [Dataset]. https://www.ibisworld.com/united-states/market-research-reports/ski-snowboard-resorts-industry/
    Explore at:
    Dataset updated
    Mar 15, 2024
    Dataset authored and provided by
    IBISWorld
    Time period covered
    2024 - 2029
    Area covered
    United States
    Description

    Expert industry market research on the Ski & Snowboard Resorts in the US (2024-2029). Make better business decisions, faster with IBISWorld's industry market research reports, statistics, analysis, data, trends and forecasts.

  11. T

    Ski Vacation Market by Type of Ski holidays, Booking Channel, Tourist Type,...

    • futuremarketinsights.com
    csv, pdf
    Updated Oct 6, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Future Market Insights (2022). Ski Vacation Market by Type of Ski holidays, Booking Channel, Tourist Type, Tour Type, Consumer Orientation, Age Group, and Region | Forecast 2022 to 2032 [Dataset]. https://www.futuremarketinsights.com/reports/ski-vacations-sector-overview
    Explore at:
    csv, pdfAvailable download formats
    Dataset updated
    Oct 6, 2022
    Dataset authored and provided by
    Future Market Insights
    License

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

    Time period covered
    2022 - 2032
    Area covered
    Worldwide
    Description

    As per newly released data by Future Market Insights (FMI), the Ski Vacation Sector is estimated at US$ 5.0 Billion in 2022 and is projected to reach US$ 15.0 Billion by 2032, at a CAGR of 8% from 2022 to 2032.

    AttributeDetails
    Ski Vacation Sector Estimated Size (2022)US$ 5.0 Billion
    Ski Vacation Sector Projected Size (2032)US$ 15.0 Billion
    Ski Vacation Sector Value-based CAGR (2022 to 2032)8%

    Scope of Report

    AttributeDetails
    Forecast Period2022 to 2032
    Historical Data Available for2017 to 2021
    Market AnalysisUS$ Billion for Value
    Key Regions CoveredNorth America, Latin America, Europe, East Asia, South Asia, Oceania & MEA.
    Key Countries CoveredUnited States of America, Canada, Brazil, Mexico, Germany, The UK, France, Spain, Italy, Russia, Benelux, South Africa, Northern Africa, GCC Countries, China, Japan, South Korea, India, Thailand, Malaysia, Indonesia, Australia & New Zealand.
    Key Segments CoveredType of Ski holidays, Booking Channel, Tourist Type, Tour Type, Consumer Orientation, Age Group, and Region
    Key Companies Profiled
    • Ski Trip Advisors
    • Ski Solutions
    • SNO holidays
    • Ski Travel
    • Ski.com
    • Lumi Experiences
    • Mogul Ski World
    • Prime Travels
    • Travel Excellence
    Report CoverageMarket Forecast, Company Share Analysis, Competition Intelligence, Drivers, Restraints, Opportunities and Threats Analysis, Market Dynamics and Challenges, and Strategic Growth Initiatives
    Customization & PricingAvailable upon Request
  12. d

    Willingness to pay for fast-track tickets in the alpine skiing industry -...

    • b2find.dkrz.de
    Updated Dec 13, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2023). Willingness to pay for fast-track tickets in the alpine skiing industry - Dataset - B2FIND [Dataset]. https://b2find.dkrz.de/dataset/70bd19d1-2c4b-5876-aff3-164cf846817a
    Explore at:
    Dataset updated
    Dec 13, 2023
    License

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

    Description

    The data used in this study were collected from a survey of active skiers conducted during February and March 2019, at a major ski resort in Norway. Before data collection took place, the questionnaires were pre-tested among students, family members, and staff at the university college. The data was collected in the ski resort on various weekdays (including weekends). A total of 779 forms were completed in part or completely. After removing incomplete forms, we ended up with 549 complete forms for our analyses.The survey consisted of questions about a range of factors related to alpine skiing. The main question in the survey regarding fast-track tickets is reproduced in Figure 1. In the question, we asked skiers how much extra, in addition to the day-pass price of 455 Norwegian kroner (NOK) , they would pay (in the interval NOK 0 to 100) for given scenarios of between 1- and 20-minute waiting time at the main lifts.

  13. G

    Data from: Ski Resorts

    • open.canada.ca
    • catalogue.arctic-sdi.org
    • +3more
    html, kml, wms
    Updated May 2, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Government of British Columbia (2024). Ski Resorts [Dataset]. https://open.canada.ca/data/dataset/db1489d4-4304-4203-99bf-11b2b23179eb
    Explore at:
    wms, kml, htmlAvailable download formats
    Dataset updated
    May 2, 2024
    Dataset provided by
    Government of British Columbiahttps://www2.gov.bc.ca/
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    Ski Resorts is a point dataset identifying the location of ski resorts in British Columbia.

  14. Ski Equipment Market Analysis Europe, North America, APAC, South America,...

    • technavio.com
    Updated Feb 15, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Technavio (2024). Ski Equipment Market Analysis Europe, North America, APAC, South America, Middle East and Africa - US, Japan, France, Austria, Italy - Size and Forecast 2024-2028 [Dataset]. https://www.technavio.com/report/ski-equipment-market-size-industry-analysis
    Explore at:
    Dataset updated
    Feb 15, 2024
    Dataset provided by
    TechNavio
    Authors
    Technavio
    License

    https://www.technavio.com/content/privacy-noticehttps://www.technavio.com/content/privacy-notice

    Time period covered
    2021 - 2025
    Area covered
    Global, United States
    Description

    Snapshot img

    Ski Equipment Market Size 2024-2028

    The global ski equipment market size is poised to grow by USD 430.2 million between 2023 and 2028, growing at a compound annual growth rate (CAGR) of 4.33%. Key drivers include increasing participation in skiing activities and rising popularity of winter sports tourism, thus driving the demand for snow sports apparel.

    To learn more about this report, View Sample PDF

    Key Major Companies

    Companies are implementing various market growth and forecasting strategies by analyzing factors such as strategic alliances, partnerships, mergers and acquisitions, geographical expansion, and product or service launches to enhance their presence in the market.

    ANTA Sports Products Ltd.: The company offers ski equipment, such as anta backpack, anta knit cap, anta neck warmer, anta gloves, and footware. ANTA Sports aims to unlock the potential of both the mass and high-end sportswear markets.
    

    The market report also includes detailed analyses of the competitive landscape of the market and information about 15 market companies, including:

    Burton Corp., Clarus Corp., Crosson, Decathlon SA, Fischer Sports GmbH, Gi.Di. Meccanica S.p.A., Icelantic LLC, INEMOTION INC., K2 Sports Europe GmbH, KJK Sports, Kneissl Tirol GmbH, LIVALL Tech Co. Ltd., Ober Alp SPA, Rhythm SnowSports, Group Rossignol USA Inc., SKIWAX, Stöckli Swiss Sports AG, Tecnica Group SpA, and Volkl Int. GmbH

    Qualitative and quantitative analysis of market growth and trends of companies has been conducted to help clients understand the wider business environment as well as the strengths and weaknesses of key market players. Data is qualitatively analyzed to categorize companies as pure play, category-focused, industry-focused, and diversified. Furthermore, market growth and forecasting it is also quantitatively analyzed to categorize companies as dominant, leading, strong, tentative, and weak.

    The market trends and analysis report provides a comprehensive analysis of key factors driving market growth, including the rising popularity of skiing and other snow sports, increasing engagement in ski touring and blogging, and the high cost associated with ski equipment. The report delves into these factors to understand their impact on the market dynamics and consumer behavior. It explores how these trends influence market expansion, product development, and consumer preferences. Additionally, the market research and growth report examines the challenges posed by the high cost of this equipment and the strategies adopted by industry players to mitigate these challenges.

    Market Dynamic and Customer Landscape

    The market offers a diverse range of products essential for skiing, including skis, helmets, boots, and poles. With advancements like cambered skis, enthusiasts, including farmers and hunters, engage in this exhilarating sporting activity. Government initiatives promote ski infrastructure, fostering growth in the market. From the Olympics to recreational skiing, demand for winter sports equipment and clothing persists. Ski resorts worldwide cater to this thriving ski industry, offering skiing apparel and facilitating various outdoor activities. With a focus on safety and performance, manufacturers continually introduce new and innovative products driven by advanced technology. As more women participate in sports, global regulations and national laws ensure accessible and affordable resorts across diverse distance and areas.

    Key Drivers

    Increasing participation rate is the key factor driving the market. Factors such as the rising young population, increasing disposable income, and growing awareness of the health and fitness benefits of snow sports have spurred a surge in participation rates in skiing and others. Moreover, factors like hectic lifestyles, unhealthy eating habits, and a rise in the obese population are further fueling the growing popularity of outdoor activities, including snow sports, thereby driving the demand for ski equipment.

    Furthermore, aligned with market growth analysis, market players are implementing various marketing strategies to raise awareness about snowboarding, ski equipment, ski clothing, ski resorts, the ski industry, and skiing apparel to penetrate the market. With advancements in technology, consumers are increasingly seeking more convenient shopping platforms such as online shopping. Global skiing equipment market players are actively leveraging online distribution channels to market and sell their products, including jet skiing equipment. Thus, such factors are expected to support the growth of the market during the forecast period.

    Significant Trends

    Increasing touring and blogging is the primary trend shaping the market. Many people are increasingly blogging and vlogging about their travel, capitalizing on the increased internet penetration. Professional athletes of snow sports are creating live challenges to make ne

  15. w

    Data from: Skiing Europe

    • workwithdata.com
    Updated Feb 12, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Work With Data (2024). Skiing Europe [Dataset]. https://www.workwithdata.com/object/skiing-europe-book-by-gabriella-le-breton-0000
    Explore at:
    Dataset updated
    Feb 12, 2024
    Dataset authored and provided by
    Work With Data
    License

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

    Area covered
    Europe
    Description

    The author Gabriella Le Breton has written the book Skiing Europe which was published in 2008 by Footprint. The book has an ISBN of 1906098441 and is in the English language. The book is about Europe, Europe-Guidebooks, Ski resorts-Europe-Guidebooks.

  16. C

    Heli-skiing - No ski descents due to fauna

    • ckan.mobidatalab.eu
    html, wms
    Updated Apr 28, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    GeoDatiGovIt RNDT (2023). Heli-skiing - No ski descents due to fauna [Dataset]. https://ckan.mobidatalab.eu/dataset/heli-skiing-no-descent-with-skis-for-wildlife
    Explore at:
    html, wmsAvailable download formats
    Dataset updated
    Apr 28, 2023
    Dataset provided by
    GeoDatiGovIt RNDT
    Description

    The fauna protection areas, in which the passage on skis, the laying, the recovery of skiers or the overflight is limited or precluded, are identified, in the context of the Services Conference, by the competent offices of the Forestry Department, pursuant to of article 3, paragraph 5, of the regional law 15/1988.

  17. F

    Total Revenue for Skiing Facilities, Establishments Subject to Federal...

    • fred.stlouisfed.org
    json
    Updated Jan 31, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2024). Total Revenue for Skiing Facilities, Establishments Subject to Federal Income Tax, Employer Firms [Dataset]. https://fred.stlouisfed.org/series/REVEF71392TAXABL
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jan 31, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Total Revenue for Skiing Facilities, Establishments Subject to Federal Income Tax, Employer Firms (REVEF71392TAXABL) from 1998 to 2022 about sport, recreation, employer firms, accounting, revenue, establishments, tax, services, and USA.

  18. w

    Skiing

    • workwithdata.com
    Updated Jan 11, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Work With Data (2022). Skiing [Dataset]. https://www.workwithdata.com/book/Skiing_1001987
    Explore at:
    Dataset updated
    Jan 11, 2022
    Dataset authored and provided by
    Work With Data
    License

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

    Description

    The author Patrick Catel has written the book Skiing which was published in 2014 by Raintree. The book has an ISBN of 1406260328 and is in the English language. The book is about Skis and skiing-Juvenile literature.

  19. w

    Skiing

    • workwithdata.com
    Updated Mar 8, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Work With Data (2023). Skiing [Dataset]. https://www.workwithdata.com/book/skiing-book-by-paul-mason-1967
    Explore at:
    Dataset updated
    Mar 8, 2023
    Dataset authored and provided by
    Work With Data
    License

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

    Description

    The author Paul Mason has written the book Skiing which was published in 2002 by Heinemann Library. The book has an ISBN of 0431036934 and is in the English language. The book is about Skis and skiing-Juvenile literature.

  20. f

    Mean and SD of measured skiing speeds (km/h) of the 3 speed perception...

    • plos.figshare.com
    xls
    Updated Dec 3, 2015
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Friedrich Brunner; Gerhard Ruedl; Martin Kopp; Martin Burtscher (2015). Mean and SD of measured skiing speeds (km/h) of the 3 speed perception categories according to sex, age, skill level, risk taking behavior and helmet use. [Dataset]. http://doi.org/10.1371/journal.pone.0132002.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Dec 3, 2015
    Dataset provided by
    PLOS ONE
    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

    Mean and SD of measured skiing speeds (km/h) of the 3 speed perception categories according to sex, age, skill level, risk taking behavior and helmet use.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
강호균 (2022). skiing Dataset [Dataset]. https://universe.roboflow.com/-mj1ln/skiing

skiing Dataset

Explore at:
zipAvailable download formats
Dataset updated
Sep 7, 2022
Dataset authored and provided by
강호균
License

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

Variables measured
Helmet Bounding Boxes
Description

Here are a few use cases for this project:

  1. Safety Monitoring: This model could be used in ski resorts for real-time monitoring of skiers, enabling authorities to enforce helmet rules and reduce the risk of injury.

  2. Sport Event Analysis: During professional ski competitions, this model might provide real-time analysis, identifying which competitors are wearing helmets and potentially categorizing them based on the type or color of their helmets.

  3. Development of Smart Cameras: Integrating this model into smart cameras could enable them to automatically identify and focus on skiers with helmets, useful for specific filming or photography needs.

  4. Insurance Investigations: Insurance companies might use this model to enhance their investigation process for winter sport accidents and determine if claimants were following safety protocols like wearing a helmet.

  5. AI Ski Coaching: This model can be incorporated into an AI-based ski coaching system in which the model identifies if the trainee is wearing a helmet or not, providing real-time feedback, enhancing safety, and providing an all-around learning experience.

Search
Clear search
Close search
Google apps
Main menu