54 datasets found
  1. a

    Parking Lot Surface (File Geodatabase)

    • hub.arcgis.com
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • +1more
    Updated Oct 9, 2024
    + more versions
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    Montgomery Maps (2024). Parking Lot Surface (File Geodatabase) [Dataset]. https://hub.arcgis.com/datasets/7f0630f2b84e4629a56f6763dd5641b9
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    Dataset updated
    Oct 9, 2024
    Dataset authored and provided by
    Montgomery Maps
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    Parking lots shall be captured, the surface type noted, and a division between the parking lot and road surface will be made by a straight line from curb to curb at the entrance to the parking lot. This data was captured for use in general mapping at a scale of 1:100. Countywide data updated Spring 2023. For more information, contact: GIS Manager Information Technology & Innovation (ITI) Montgomery County Planning Department, MNCPPC T: 301-650-5620

  2. v

    Park Parking Lots

    • opendata.victoria.ca
    Updated Aug 28, 2019
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    City of Victoria (2019). Park Parking Lots [Dataset]. https://opendata.victoria.ca/datasets/park-parking-lots/api
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    Dataset updated
    Aug 28, 2019
    Dataset authored and provided by
    City of Victoria
    License

    http://opendata.victoria.ca/pages/open-data-licencehttp://opendata.victoria.ca/pages/open-data-licence

    Area covered
    Description

    Park Parking Lots data includes parking areas and angled street parking. Parking lots provide a stable surface for vehicles and cyclists. Made of asphalt. Lines are marked and maintained.Data are updated by city staff as needed, and automatically copied to the Open Data Portal. The "Last Updated" date shown on our Open Data Portal refers to the last time the data schema was modified in the portal, or any changes were made to this description. We update our data through automated scripts which does not trigger the "last updated" date to change.Note: Attributes represent each field in a dataset, and some fields will contain information such as ID numbers. As a result some visualizations on the tabs on our Open Data page will not be relevant.

  3. U.S. Fish and Wildlife Service Roads and Parking Lots

    • catalog.data.gov
    • datasets.ai
    Updated Feb 22, 2025
    + more versions
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    U.S. Fish and Wildlife Service (2025). U.S. Fish and Wildlife Service Roads and Parking Lots [Dataset]. https://catalog.data.gov/dataset/u-s-fish-and-wildlife-service-roads-and-parking-lots
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    Dataset updated
    Feb 22, 2025
    Dataset provided by
    U.S. Fish and Wildlife Servicehttp://www.fws.gov/
    Description

    The FWS_HQ_Roads and FWS_HQ_Parking feature services contain lines and polygons representing public and administrative road segments and parking lots on lands administered by the U.S. Fish and Wildlife Service including National Wildlife Refuges, National Fish Hatcheries, FWS administrative sites, and other conservation areas. This dataset is updated with the Federal Highways Cycle 5 roads and parking lots. The data collection started in 2018 and was completed in 2023. Each of the feature services have a edit view, read-only view, and public view. Edit View - Used for editing and/or updating records. This view is only viewable and editable to members of the AGOL FWS Regional Transportation Coordinators Roads Editing Group. Read-Only View - This read-only view is intended for internal FWS use. Public View - This view is intended for road and parking lots records suitable for the general public.

  4. c

    Parking Lot Markings

    • opendatakingston.cityofkingston.ca
    Updated Jan 28, 2022
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    The City of Kingston (2022). Parking Lot Markings [Dataset]. https://opendatakingston.cityofkingston.ca/datasets/parking-lot-markings
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    Dataset updated
    Jan 28, 2022
    Dataset authored and provided by
    The City of Kingston
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    Represents line work associated with Parking Spaces/Stalls for off-street Parking. Including Parking Lots, Arenas, Public Facilities. Feature used in Conventional Mapping and for Web Mapping.

  5. C

    Parking lots

    • ckan.mobidatalab.eu
    Updated Aug 9, 2023
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    Gemeente Eindhoven (2023). Parking lots [Dataset]. https://ckan.mobidatalab.eu/dataset/parkinglots
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    https://www.iana.org/assignments/media-types/text/csv, https://www.iana.org/assignments/media-types/application/json, https://www.iana.org/assignments/media-types/application/zipAvailable download formats
    Dataset updated
    Aug 9, 2023
    Dataset provided by
    Gemeente Eindhoven
    License

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

    Description

    Overview of identified publicly accessible parking spaces along roads and road sections and on sites.

  6. V

    Driveways and Parking Lots

    • data.virginia.gov
    • data-fairfaxcountygis.opendata.arcgis.com
    • +1more
    Updated Apr 1, 2025
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    Fairfax County (2025). Driveways and Parking Lots [Dataset]. https://data.virginia.gov/dataset/driveways-and-parking-lots
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    kml, html, xlsx, csv, gpkg, arcgis geoservices rest api, zip, txt, gdb, geojsonAvailable download formats
    Dataset updated
    Apr 1, 2025
    Dataset provided by
    Fairfax County GIS and Mapping Services
    Authors
    Fairfax County
    Description

    Minor transportation contains the non-primary road polygons in Fairfax County. The original data in this layer was captured during the 1997 data conversion effort for Fairfax County. After that an update capture was completed in 2014 using stereo models from the 2009 Virginia State imagery. Subsequent to that an update capture was completed in 2022 using stereo models from the 2017 Virginia State imagery. The most recent planimetric update was completed in 2024 using orthoimagery from the 2023 and 2022 Eagleview Orthophotos.

    The data in this layer provides the areal extent of the paved and unpaved driveways, paved and unpaved shared driveways, paved and unpaved parking lots, and paved and unpaved private roads, up to the edge of pavement. Minor transportation features are features that exist outside of the right of way. These features will typically have a match line where they coincide with the major transportation features.

    Contact: Fairfax County Department of Information Technology GIS Division

    Data Accessibility: Publicly Available

    Update Frequency: As Needed

    Last Revision Date: 3/1/2024

    Creation Date: 1/1/1997

    Feature Dataset Name: GISMGR.PLANIMETRIC

    Layer Name: GISMGR.MINOR_TRANSPORTATION_AREAS

  7. a

    Park Parking Lots

    • open-vicmap.opendata.arcgis.com
    • opendata.victoria.ca
    Updated Aug 28, 2019
    + more versions
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    City of Victoria (2019). Park Parking Lots [Dataset]. https://open-vicmap.opendata.arcgis.com/datasets/park-parking-lots
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    Dataset updated
    Aug 28, 2019
    Dataset authored and provided by
    City of Victoria
    License

    http://opendata.victoria.ca/pages/open-data-licencehttp://opendata.victoria.ca/pages/open-data-licence

    Area covered
    Description

    Park Parking Lots data includes parking areas and angled street parking. Parking lots provide a stable surface for vehicles and cyclists. Made of asphalt. Lines are marked and maintained.Data are updated by city staff as needed, and automatically copied to the Open Data Portal. The "Last Updated" date shown on our Open Data Portal refers to the last time the data schema was modified in the portal, or any changes were made to this description. We update our data through automated scripts which does not trigger the "last updated" date to change.Note: Attributes represent each field in a dataset, and some fields will contain information such as ID numbers. As a result some visualizations on the tabs on our Open Data page will not be relevant.

  8. P

    PKLot Dataset

    • paperswithcode.com
    Updated May 31, 2023
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    Paulo R.L. de Almeida; Luiz S. Oliveira; Alceu S. Britto Jr.; Eunelson J. Silva Jr.; Alessandro L. Koerich (2023). PKLot Dataset [Dataset]. https://paperswithcode.com/dataset/pklot
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    Dataset updated
    May 31, 2023
    Authors
    Paulo R.L. de Almeida; Luiz S. Oliveira; Alceu S. Britto Jr.; Eunelson J. Silva Jr.; Alessandro L. Koerich
    Description

    The PKLot dataset contains 12,417 images of parking lots and 695,899 images of parking spaces segmented from them, which were manually checked and labeled. All images were acquired at the parking lots of the Federal University of Parana (UFPR) and the Pontificial Catholic University of Parana (PUCPR), both located in Curitiba, Brazil.

  9. d

    Roads 2021

    • catalog.data.gov
    • opendata.dc.gov
    Updated Feb 5, 2025
    + more versions
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    Office of the Chief Technology Officer (2025). Roads 2021 [Dataset]. https://catalog.data.gov/dataset/roads-2021
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    Dataset updated
    Feb 5, 2025
    Dataset provided by
    Office of the Chief Technology Officer
    Description

    Road edges are defined as the edge of the improved surface including the improved shoulder but do not include the unimproved shoulder, only the travel part of the road. The road network is compiled to include all open intersections. Features do not overlap sidewalks, but have the sidewalk area cut out of the road polygons. Overlapping features are acceptable if one of the features is hidden.Road: A generally named thoroughfare, that is usually paved and can be public or private. Unimproved thoroughfares are excluded. Road polygons are formed by a combination of road edge, curb, sidewalk, street intersection closure line, and map sheet edge.Paved Median Island: Perimeter of non-traffic paved areas that separate traffic lanes in opposing directions. Unpaved Median Island: Perimeter of non-traffic grassy, unpaved areas that separate traffic lanes in opposing directions. Paved Traffic Island: Perimeter of non-traffic concrete areas in the middle of streets designed to segregate traffic flow. This does not include linear barriers, e.g., Jersey barriers, walls or guardrails, or point barriers, such as impact attenuators. Features do not overlap sidewalks.Unpaved Traffic Island: Perimeter of non-traffic unpaved, grassy areas in the middle of streets designed to segregate traffic flow. This does not include linear barriers, e.g., Jersey barriers, walls or guardrails, or point barriers, such as impact attenuators. Features do not overlap sidewalks.Alley: Perimeter of alleys first plotted photogrammetrically from other indicators such as building footprints, fence lines, curb lines, walls, paved or unpaved drives, and map sheet edge. Alley polygons are closed along the lines where they intersect with road polygons.Paved Drive: A paved driveway for a building or entranceway for a parking lot. Driveways are neither streets nor alleys, but provide access to public facilities, such as a drive to a monument, museum, hotel, large estate, sports field or golf course, grounds of the U.S. Capitol, etc. If a driveway is less than 200 feet and leads to a parking lot, the entire paved area is captured as Parking Lot. Driveways are photogrammetrically compiled as polygons and not compiled from individual vectors on different levels. Parking Lot: Generally paved surfaces used for cars to park on. Paved drives usually form entrances to these features, if the drive is more than 200 feet. If the driveway is less than 200 feet leading into the parking lot, the entire paved area is captured as Parking Lot. Parking lots sharing a common boundary with linear features must have the common segment captured once, but coded as both polygon and line. Small parking areas, where individuals park their cars in the middle of a block off a public alley, are not captured as parking lots. These are either public space (e.g., alleys) or private space where owners permit parking to occur.Intersection: A location where more than one road comes together. For standard cross streets, intersection polygons are bounded by curbs and four closure lines at street intersection crosswalks (outer line) or placed arbitrarily where crosswalks could logically be placed. For "T" intersections, the polygons are bounded by curbs and three such closure lines. Complex intersections can have more closure lines. Entire traffic circles are coded as intersections.Hidden Road: A section of a road that passes underneath a bridge or overpass and is not visible in an aerial photograph, but the location can be interpreted based on the road on either side of the bridge.Hidden Median: A road median that exists underneath a bridge or overpass and is not fully visible in an aerial photograph, but the location can be interpreted based on the information visible on either side of the bridge.

  10. d

    35K+ Parking Lots Images | AI Training Data | Machine Learning (ML) data |...

    • datarade.ai
    Updated Nov 29, 2024
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    Data Seeds (2024). 35K+ Parking Lots Images | AI Training Data | Machine Learning (ML) data | Object & Scene Detection | Global Coverage [Dataset]. https://datarade.ai/data-products/20k-parking-lots-images-ai-training-data-machine-learnin-data-seeds
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Nov 29, 2024
    Dataset authored and provided by
    Data Seeds
    Area covered
    France, Congo, Moldova (Republic of), Switzerland, Korea (Democratic People's Republic of), Belarus, Guinea, Guyana, Seychelles, Micronesia (Federated States of)
    Description

    This dataset features over 35,000 high-quality images of parking lots sourced from photographers worldwide. Designed to support AI and machine learning applications, it offers a richly annotated and visually diverse collection of parking environments across urban, suburban, and rural contexts.

    Key Features: 1. Comprehensive Metadata: the dataset includes full EXIF data, detailing camera settings such as aperture, ISO, shutter speed, and focal length. Each image is pre-annotated with object and scene detection metadata, including vehicle types, parking lines, signage, and occupancy status—ideal for tasks such as object detection, segmentation, and spatial analysis. Popularity metrics, derived from engagement on our proprietary platform, are also included.

    1. Unique Sourcing Capabilities: the images are collected through a proprietary gamified platform for photographers. Competitions centered on parking infrastructure ensure timely, relevant, and high-quality submissions. Custom datasets can be sourced on-demand within 72 hours, enabling precise targeting of environments (e.g., mall parking, street parking, multilevel garages) or conditions (e.g., day/night, weather variations).

    2. Global Diversity: photographs have been contributed by users in over 100 countries, offering diverse perspectives on parking lot design, traffic flow, vehicle density, and usage patterns. Images include aerial, street-level, and oblique angles, capturing environments from densely populated cities to rural outposts.

    3. High-Quality Imagery: the dataset features a mix of high-resolution drone shots, street-level captures, and surveillance-style imagery. Both professional and real-world operational conditions are represented, offering a practical and robust dataset for training models in realistic scenarios.

    4. Popularity Scores: each image is assigned a popularity score based on its performance in GuruShots competitions. This provides additional context for models focusing on visual appeal, human-centric design, or public interaction trends.

    5. AI-Ready Design: this dataset is engineered for seamless use in AI applications such as vehicle detection, parking space identification, occupancy prediction, and smart city infrastructure modeling. It is compatible with major machine learning frameworks and urban analytics platforms.

    6. Licensing & Compliance: the dataset complies with global privacy regulations and includes clear, transparent licensing for commercial and research use.

    Use Cases: 1. Training AI for smart parking systems and vehicle detection. 2. Enhancing urban planning tools for traffic and infrastructure analysis. 3. Supporting real-time parking availability monitoring and guidance apps. 4. Enabling simulations and computer vision models for autonomous vehicles.

    This dataset offers a comprehensive, high-quality foundation for AI development in transportation, urban planning, and smart infrastructure. Custom datasets can be curated on request. Contact us to learn more!

  11. a

    NPS - Parking Areas - Geographic Coordinate System

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • dscp-nps.opendata.arcgis.com
    • +3more
    Updated Apr 16, 2019
    + more versions
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    National Park Service (2019). NPS - Parking Areas - Geographic Coordinate System [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/datasets/nps::nps-parking-areas-geographic-coordinate-system-1
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    Dataset updated
    Apr 16, 2019
    Dataset authored and provided by
    National Park Service
    Area covered
    Description

    This feature class contains lines representing parking areas within and across National Park Units. This dataset uses a set of core attributes designed by the NPS enterprise geospatial committee.

  12. a

    Parking

    • hub.arcgis.com
    • data-mcplanning.hub.arcgis.com
    Updated Jan 11, 2024
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    Montgomery Maps (2024). Parking [Dataset]. https://hub.arcgis.com/datasets/e54a572a20da4da58be34a1a55079a8c
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    Dataset updated
    Jan 11, 2024
    Dataset authored and provided by
    Montgomery Maps
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    Parking lots shall be captured, the surface type noted, and a division between the parking lot and road surface will be made by a straight line from curb to curb at the entrance to the parking lot. This data was captured for use in general mapping at a scale of 1:100. Countywide data updated Spring 2020. For more information, contact: GIS Manager Information Technology & Innovation (ITI) Montgomery County Planning Department, MNCPPC T: 301-650-5620

  13. g

    On-street parking | gimi9.com

    • gimi9.com
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    On-street parking | gimi9.com [Dataset]. https://gimi9.com/dataset/eu_fecde4f4-41c0-4c3b-b763-41a84dad39f8/
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    Description

    The On-Street parking lots in Heidelberg were collected by EasyPark in the project "Parking Space Survey". In addition, the occupancy rate, parking errors and traffic signs were recorded as additional information per parking segment. ## (main) data fields: * Segment: identification number of the car park segments, * Parking angle: Parking (parallel, vertical, diagonal, no parking), * Permission: additional parking information per parking segment, * Permission period: Parking facilities per day, * geometry: Parking space geometry (sequence of dots as a line string (2-tuple)) to be interpreted as a midline of the parking space containing information on parking spaces on both sides). * Capacity: Number of available parking spaces per parking segment The dataset is available as JSON or Shapefile. ETRS89/UTM coordinates

  14. Car Park Line Marking Services Market Report | Global Forecast From 2025 To...

    • dataintelo.com
    csv, pdf, pptx
    Updated Oct 16, 2024
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    Dataintelo (2024). Car Park Line Marking Services Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/car-park-line-marking-services-market
    Explore at:
    pdf, pptx, csvAvailable download formats
    Dataset updated
    Oct 16, 2024
    Dataset authored and provided by
    Dataintelo
    License

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

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Car Park Line Marking Services Market Outlook



    The global car park line marking services market size was valued at approximately USD 1.2 billion in 2023 and is projected to reach around USD 2.4 billion by 2032, growing at a compound annual growth rate (CAGR) of 6.8% during the forecast period from 2024 to 2032. This market growth can be primarily attributed to the increasing urbanization and the subsequent rise in the number of vehicles, necessitating efficient parking management solutions.



    One of the primary growth factors driving the car park line marking services market is the rapid urbanization across the globe. As cities expand and become more densely populated, the need for organized and clearly marked parking spaces becomes crucial. This not only aids in the efficient management of parking spaces but also enhances safety and reduces traffic congestion. Furthermore, the growth of commercial establishments, such as shopping malls, office complexes, and entertainment hubs, has significantly contributed to the demand for professional line marking services.



    Another significant growth factor is the stringent government regulations and standards regarding road safety and traffic management. Governments and municipal bodies across various regions are increasingly focusing on improving the infrastructure of parking facilities to enhance public safety. This has led to the adoption of advanced line marking technologies and materials that offer better visibility, durability, and compliance with regulatory standards. Additionally, the increasing awareness about the importance of organized parking spaces in reducing accidents and improving traffic flow is further propelling the market growth.



    The advent of innovative technologies and materials in line marking is also playing a crucial role in the market's expansion. Modern line marking solutions, such as thermoplastic and preformed polymer tape, offer superior durability and visibility compared to traditional paint. These advanced materials are particularly beneficial in high-traffic areas where the longevity of markings is critical. Moreover, the integration of reflective elements in line marking materials enhances visibility during nighttime and adverse weather conditions, thereby ensuring safer parking environments.



    From a regional perspective, North America and Europe are expected to hold significant shares in the car park line marking services market. This can be attributed to the well-established infrastructure, high vehicle ownership rates, and stringent regulatory standards in these regions. However, the Asia Pacific region is anticipated to witness the highest growth rate during the forecast period. Rapid urbanization, increasing disposable incomes, and the growing number of commercial and residential projects are some of the key factors driving the market in this region. The Middle East & Africa and Latin America regions are also expected to experience steady growth owing to ongoing infrastructure development and urbanization initiatives.



    Service Type Analysis



    The service type segment of the car park line marking services market can be categorized into new line marking, re-marking, and custom marking. Each of these service types plays a critical role in catering to different needs and requirements within the market. New line marking services are essential for newly constructed parking lots and facilities. With the increase in urban development projects and commercial establishments, the demand for new line marking services is on the rise. This segment is crucial for ensuring that new parking areas are efficiently organized from the beginning, thereby enhancing their usability and safety.



    Re-marking services, on the other hand, are vital for maintaining the visibility and functionality of existing parking spaces. Over time, the wear and tear caused by vehicle traffic and environmental factors can lead to the fading of line markings. Regular re-marking is necessary to ensure that parking spaces remain clearly defined and safe for use. This segment is particularly significant for facilities with high vehicle turnover, such as shopping centers, hospitals, and public parking lots. The ongoing need for maintenance and refurbishment in these areas ensures a steady demand for re-marking services.



    Custom marking services cater to specialized requirements that go beyond standard parking delineations. These services include the creation of bespoke markings for specific purposes, such as reserved parking for disabled individuals, electric vehicle charging stations, or compa

  15. r

    Park Facility Lines

    • data.raleighnc.gov
    • data.wake.gov
    • +1more
    Updated May 9, 2019
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    Wake County (2019). Park Facility Lines [Dataset]. https://data.raleighnc.gov/datasets/Wake::park-facility-lines
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    Dataset updated
    May 9, 2019
    Dataset authored and provided by
    Wake County
    Area covered
    Description

    Locations of buildings, parking lots, trails and other facilities within Wake County Parks. Also included features for William B Umstead State Park (NC Division of State Parks & Recreation).Data is divided into points, lines and polygons.

  16. w

    Park and Ride Lots

    • data.wu.ac.at
    • gisdata.mn.gov
    ags_mapserver, fgdb +2
    Updated Jun 19, 2018
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    Metropolitan Council (2018). Park and Ride Lots [Dataset]. https://data.wu.ac.at/schema/gisdata_mn_gov/MWViNTBjMjgtOWFmNC00YTNlLWJhYWMtYjg1N2JmYjdhMGU2
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    shp, fgdb, ags_mapserver, htmlAvailable download formats
    Dataset updated
    Jun 19, 2018
    Dataset provided by
    Metropolitan Council
    Area covered
    d9f8241850d898a32c4a66a60b934e8228ccbe28
    Description

    The Park-and-Ride layer contains the 238 existing and future park-and-ride and park-and-pool lots in the Twin Cities Metropolitan area and surrounding counties.

    The dataset was geocoded using TLG centerline streets. When specific site details were available, the geography was moved off the street lines to the actual lot locations using 2005 Markhurd orthophotography as a base layer. All attempts were made to correctly reflect the real lot locations; however, the positional accuracy of this data cannot be guaranteed.

    The Park-and-Ride Annual Survey lookup table contains information about the capacity and usage at each park-and-ride and park-and-pool facility in the Twin Cities metropolitan area.

    Attribute information is considered current to the metadata date and will be updated as needed.

  17. L

    Line Striper Report

    • promarketreports.com
    doc, pdf, ppt
    Updated Jun 7, 2025
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    Pro Market Reports (2025). Line Striper Report [Dataset]. https://www.promarketreports.com/reports/line-striper-179981
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    ppt, pdf, docAvailable download formats
    Dataset updated
    Jun 7, 2025
    Dataset authored and provided by
    Pro Market Reports
    License

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

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global line striper market is experiencing robust growth, driven by increasing infrastructure development, particularly in emerging economies, and a rising demand for improved road safety and parking management. The market size in 2025 is estimated at $500 million, exhibiting a Compound Annual Growth Rate (CAGR) of 7% from 2025 to 2033. This growth is fueled by several key trends, including the adoption of technologically advanced line stripers offering enhanced precision and efficiency, and a growing preference for durable, long-lasting marking solutions. Government initiatives promoting road safety and infrastructure upgrades are also significantly contributing to market expansion. However, factors such as fluctuating raw material prices and stringent environmental regulations pose challenges to market growth. The competitive landscape is characterized by a mix of established players like Graco, Rust-Oleum, and Titan, alongside smaller regional manufacturers. These companies are focusing on product innovation, strategic partnerships, and geographic expansion to maintain their market share. Segmentation within the market is based on type (manual, semi-automatic, automatic), application (road marking, parking lots, sports fields), and end-user (government agencies, construction companies, private contractors). The North American and European regions currently dominate the market, but significant growth opportunities are emerging in the Asia-Pacific region driven by rapid urbanization and infrastructure development. By 2033, the market is projected to exceed $900 million, reflecting the continued positive outlook for this sector.

  18. L

    Line Striping Equipments Report

    • promarketreports.com
    doc, pdf, ppt
    Updated Jun 15, 2025
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    Pro Market Reports (2025). Line Striping Equipments Report [Dataset]. https://www.promarketreports.com/reports/line-striping-equipments-140358
    Explore at:
    pdf, doc, pptAvailable download formats
    Dataset updated
    Jun 15, 2025
    Dataset authored and provided by
    Pro Market Reports
    License

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

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global line striping equipment market is experiencing robust growth, driven by increasing infrastructure development projects, particularly in emerging economies, and a rising demand for improved road safety and efficient parking management. The market size in 2025 is estimated at $1.5 billion, exhibiting a Compound Annual Growth Rate (CAGR) of 6% from 2025 to 2033. This growth is fueled by several key factors including advancements in technology leading to more efficient and precise striping machines, the adoption of eco-friendly and durable paint formulations, and stricter regulatory compliance regarding road markings. Furthermore, the increasing adoption of automated and semi-automated line striping systems is contributing to market expansion, offering benefits like reduced labor costs and improved accuracy. The market is segmented by equipment type (handheld, ride-on, truck-mounted), application (roads, parking lots, sports fields), and paint type (water-based, solvent-based). Key players such as Graco, Rust-Oleum, and others are constantly innovating, introducing new products with enhanced features, and expanding their geographical reach. While challenges exist, such as fluctuations in raw material prices and potential economic downturns impacting infrastructure spending, the long-term outlook for the line striping equipment market remains positive, propelled by continuous urbanization and the need for efficient and safe transportation networks globally. The forecast period (2025-2033) anticipates continued growth based on current market dynamics and projected infrastructure investments. This report provides a detailed analysis of the global line striping equipment market, valued at approximately $2.5 billion in 2023, projecting robust growth to reach an estimated $3.2 billion by 2028. The report delves into market dynamics, key players, emerging trends, and regional variations, offering valuable insights for businesses operating within this sector. High-search-volume keywords such as "line striping machine," "road marking equipment," "parking lot striping," "traffic paint striper," and "highway striping equipment" are strategically incorporated throughout the report to optimize online visibility.

  19. Line Striper Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Line Striper Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-line-striper-market
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    pdf, pptx, csvAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Dataintelo
    License

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

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Line Striper Market Outlook



    The global line striper market size was valued at approximately USD 9.2 billion in 2023 and is projected to reach around USD 14.6 billion by 2032, exhibiting a compound annual growth rate (CAGR) of 5.2% during the forecast period. This market is poised for substantial growth due to increasing infrastructure development and maintenance activities worldwide.



    One of the primary growth factors driving the line striper market is the increasing investment in road and highway infrastructure across the globe. Governments and private sectors are heavily investing in the construction and maintenance of roads, highways, and expressways to improve transportation networks and reduce traffic congestion, which in turn boosts the demand for line stripers. Additionally, the surge in urbanization and the expansion of cities have necessitated the construction of new road networks, further propelling the market growth.



    Moreover, the growing need for safety and regulation in public spaces has significantly contributed to the market's expansion. The implementation of stringent regulations regarding road safety and traffic management has led to a rise in demand for high-quality line striping machines. These regulations mandate clear and visible markings for pedestrian lanes, parking spaces, and other areas, which has positively impacted the line striper market. Furthermore, the increasing focus on enhancing the aesthetics and functionality of sports facilities, parking lots, and airports has created additional opportunities for market growth.



    The technological advancements in line striping equipment have also played a crucial role in driving market growth. The development of innovative and efficient line stripers, equipped with advanced features such as GPS tracking, automatic paint mixing, and laser-guided systems, has improved the accuracy and efficiency of line striping operations. These advancements have not only increased the adoption of line stripers but also reduced labor costs and operational time, making them a preferred choice among end-users.



    The introduction of Fine Line Striping Tape has revolutionized the precision and quality of line striping in various applications. This innovative product allows for the creation of sharp, clean lines with minimal bleed, making it ideal for detailed and intricate striping tasks. Fine Line Striping Tape is particularly beneficial in environments where precision is paramount, such as sports fields, parking lots, and industrial facilities. Its ease of use and adaptability to different surfaces have made it a popular choice among contractors and municipalities looking to enhance the quality of their line markings. As the demand for high-quality line striping continues to grow, the adoption of Fine Line Striping Tape is expected to increase, offering a cost-effective solution for achieving professional-grade results.



    Regionally, the line striper market has witnessed significant growth in North America, Asia Pacific, and Europe. North America, with its well-established infrastructure and high government spending on road maintenance, has been a key market for line stripers. In contrast, the Asia Pacific region is expected to exhibit the highest growth rate during the forecast period, driven by rapid urbanization, increasing infrastructure projects, and the growing focus on road safety in countries like China and India. Europe has also shown considerable growth due to stringent safety regulations and the presence of a robust transportation network.



    Product Type Analysis



    The line striper market is segmented by product type into walk-behind line stripers, ride-on line stripers, and handheld line stripers. Walk-behind line stripers are the most widely used type, especially for smaller projects and areas that require precise and controlled striping. These machines are highly favored for their ease of use, affordability, and ability to deliver sharp, clean lines. They are commonly used in parking lots, sports fields, and smaller road sections where maneuverability is crucial.



    Ride-on line stripers, on the other hand, are designed for large-scale projects and areas that require extensive line striping. These machines are equipped with advanced features such as hydraulic systems, multiple spray guns, and large paint tanks, allowing them to cover vast areas efficiently. Ride-on line stripers are predominantly used for road and highway maintenance, airp

  20. P

    Parking Deck Coating Market Report

    • promarketreports.com
    doc, pdf, ppt
    Updated Jan 23, 2025
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    Pro Market Reports (2025). Parking Deck Coating Market Report [Dataset]. https://www.promarketreports.com/reports/parking-deck-coating-market-14456
    Explore at:
    doc, ppt, pdfAvailable download formats
    Dataset updated
    Jan 23, 2025
    Dataset authored and provided by
    Pro Market Reports
    License

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

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global parking deck coating market size was valued at USD 2.15 billion in 2022 and is projected to grow from USD 2.31 billion in 2023 to USD 3.35 billion by 2030, exhibiting a CAGR of 4.53% during the forecast period (2023-2030). The market growth is primarily driven by the increasing demand for durable and protective coatings for parking decks to withstand heavy traffic and harsh weather conditions, along with the rising construction of new commercial and residential buildings. The key market drivers include the growing demand for slip-resistant coatings, increasing focus on safety and aesthetics, and stringent environmental regulations. The market is segmented based on type, application, property, end-user, and region. The water-based epoxy coatings segment held the largest market share in 2022 due to their excellent adhesion, durability, and resistance to chemicals and moisture. The new construction segment is anticipated to witness significant growth over the forecast period due to the rising construction activities in developing countries. The commercial buildings segment accounted for the largest market share in 2022, owing to the increasing number of commercial parking garages and multi-level parking structures. The North America region dominated the global market in 2022 and is expected to maintain its dominance throughout the forecast period. The global parking deck coating market size was valued at USD 1.95 billion in 2023 and is projected to expand at a CAGR of 4.53% from 2024 to 2032. Increasing construction activities, particularly in emerging economies, are driving market growth. Epoxy coatings held the largest market share in 2023 due to their durability, chemical resistance, and affordability. Recent developments include the launch of innovative coatings with enhanced properties, such as anti-slip and antimicrobial coatings. Recent developments include: The global parking deck coating market size was valued at USD 1.95 billion in 2023 and is projected to expand at a CAGR of 4.53% from 2024 to 2032. Increasing construction activities, particularly in emerging economies, are driving market growth. Epoxy coatings held the largest market share in 2023 due to their durability, chemical resistance, and affordability.Recent developments include the launch of innovative coatings with enhanced properties, such as anti-slip and antimicrobial coatings. For instance, in 2023, Sherwin-Williams introduced a new line of parking deck coatings designed to resist wear and tear and provide a safe and durable surface.Key industry participants include PPG, Sherwin-Williams, RPM International, and Sika. These companies are investing in research and development to improve product performance and expand their market presence.. Key drivers for this market are: Increased infrastructure investment Growing demand for durable and low maintenance coatings Rise in electric vehicle adoption Focus on sustainability and eco-friendly solutions Technological advancements in coating materials. Potential restraints include: Increasing infrastructure development, technological advancements; growing demand for durable and aesthetically appealing parking surfaces; environmental concerns; and government regulations.

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Montgomery Maps (2024). Parking Lot Surface (File Geodatabase) [Dataset]. https://hub.arcgis.com/datasets/7f0630f2b84e4629a56f6763dd5641b9

Parking Lot Surface (File Geodatabase)

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Dataset updated
Oct 9, 2024
Dataset authored and provided by
Montgomery Maps
License

MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically

Description

Parking lots shall be captured, the surface type noted, and a division between the parking lot and road surface will be made by a straight line from curb to curb at the entrance to the parking lot. This data was captured for use in general mapping at a scale of 1:100. Countywide data updated Spring 2023. For more information, contact: GIS Manager Information Technology & Innovation (ITI) Montgomery County Planning Department, MNCPPC T: 301-650-5620

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