29 datasets found
  1. C

    CAD Data Exchange Software Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Jun 10, 2025
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    Data Insights Market (2025). CAD Data Exchange Software Report [Dataset]. https://www.datainsightsmarket.com/reports/cad-data-exchange-software-1444302
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    doc, ppt, pdfAvailable download formats
    Dataset updated
    Jun 10, 2025
    Dataset authored and provided by
    Data Insights Market
    License

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

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

    The CAD data exchange software market is experiencing robust growth, driven by the increasing adoption of cloud-based CAD solutions, the rising demand for interoperability between different CAD systems, and the growing need for efficient data management in diverse industries like manufacturing, AEC, and automotive. The market's expansion is fueled by the limitations of native CAD formats and the escalating need for seamless data transfer between different design platforms and stakeholders throughout the product lifecycle. This necessitates solutions that bridge the compatibility gaps and prevent data loss or corruption during translation. While challenges remain, such as the complexity of integrating diverse CAD formats and the need for robust security protocols, the market shows strong potential for continued expansion. The projected Compound Annual Growth Rate (CAGR) indicates a significant increase in market value over the forecast period (2025-2033). Companies like Dassault Systèmes, Actify, and Tech Soft 3D are key players, continuously innovating to improve data exchange efficiency, accuracy, and security. The market is segmented by software type (translator, neutral file format, etc.), deployment model (cloud, on-premise), and industry vertical, with significant opportunities emerging in regions with rapidly developing manufacturing and design sectors. The historical period (2019-2024) has laid the foundation for this continued growth, demonstrating consistent market expansion. The competitive landscape is characterized by a mix of established players and emerging companies. Established players leverage their extensive experience and well-established customer bases, while new entrants bring innovative solutions and technologies to the market. Strategic partnerships, acquisitions, and technological advancements will continue to shape the market dynamics. The market's future hinges on the further development of robust, secure, and user-friendly solutions capable of handling increasingly complex CAD data sets, along with advancements in artificial intelligence (AI) and machine learning (ML) to automate data exchange processes and enhance accuracy. The ongoing adoption of digital twin technologies is further bolstering demand for efficient and reliable CAD data exchange software, driving market expansion in the coming years. Specific regional growth will be influenced by factors such as digital transformation initiatives, government regulations, and the strength of local manufacturing industries.

  2. m

    Рынок программного обеспечения для обмена данными CAD Анализ размера, доли и...

    • marketresearchintellect.com
    Updated Jul 15, 2025
    + more versions
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    Market Research Intellect (2025). Рынок программного обеспечения для обмена данными CAD Анализ размера, доли и будущих тенденций 2033 г. [Dataset]. https://www.marketresearchintellect.com/ru/product/global-cad-data-exchange-software-market-size-and-forecast/
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    Dataset updated
    Jul 15, 2025
    Dataset authored and provided by
    Market Research Intellect
    License

    https://www.marketresearchintellect.com/ru/privacy-policyhttps://www.marketresearchintellect.com/ru/privacy-policy

    Area covered
    Global
    Description

    Check out Market Research Intellect's Cad Data Exchange Software Market Report, valued at USD 1.5 billion in 2024, with a projected growth to USD 3.2 billion by 2033 at a CAGR of 9.5% (2026-2033).

  3. C

    CAD Data Exchange Software Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Mar 4, 2025
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    Archive Market Research (2025). CAD Data Exchange Software Report [Dataset]. https://www.archivemarketresearch.com/reports/cad-data-exchange-software-48488
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    pdf, ppt, docAvailable download formats
    Dataset updated
    Mar 4, 2025
    Dataset authored and provided by
    Archive Market Research
    License

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

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

    The CAD Data Exchange Software market is experiencing robust growth, driven by the increasing need for interoperability among different CAD systems and the rising adoption of cloud-based solutions. The market size in 2025 is estimated at $2.5 billion, with a projected Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033. This growth is fueled by several factors, including the expanding use of CAD software across diverse industries such as manufacturing, AEC (architecture, engineering, and construction), and automotive. The increasing complexity of CAD projects and the need for seamless data exchange between different teams and departments are also significant drivers. The shift towards cloud-based solutions offers enhanced collaboration, accessibility, and scalability, further contributing to market expansion. While the on-premise segment currently holds a larger market share, the cloud-based segment is expected to witness faster growth over the forecast period due to its inherent advantages. The enterprise application segment dominates the market due to the larger data exchange requirements of large organizations. However, the individual user segment is also growing steadily, fueled by the increasing availability of user-friendly and cost-effective software options. Potential restraints include the high initial investment costs for some solutions and the need for robust security measures to protect sensitive CAD data. Despite these challenges, the market is poised for continued expansion due to technological advancements such as AI-powered data translation and improved interoperability standards. The increasing adoption of digital twin technologies is further expected to drive demand for robust and efficient CAD data exchange software. Key players in the market, including Dassault Systèmes, Autodesk (implied by presence of other players), and Tech Soft 3D, are continuously innovating and expanding their product portfolios to meet the evolving needs of their customers. Geographic segmentation reveals strong growth in North America and Europe, primarily driven by the high adoption rate of CAD software and the presence of major industry players in these regions. However, the Asia-Pacific region is expected to emerge as a high-growth market over the forecast period, fuelled by rapid industrialization and increasing digitization initiatives.

  4. D

    CAD Data Exchange Software Market Report | Global Forecast From 2025 To 2033...

    • dataintelo.com
    csv, pdf, pptx
    Updated Dec 3, 2024
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    Dataintelo (2024). CAD Data Exchange Software Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-cad-data-exchange-software-market
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    csv, pptx, pdfAvailable download formats
    Dataset updated
    Dec 3, 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

    CAD Data Exchange Software Market Outlook



    The CAD Data Exchange Software market size is poised for significant growth, with a current value of approximately USD 1.2 billion in 2023, expected to reach USD 2.5 billion by 2032, driven by a robust CAGR of 8.1% during this period. The market's expansion is primarily fueled by the increasing complexity of design processes across various industries, necessitating more sophisticated tools that can seamlessly facilitate data exchange. The growing adoption of cloud-based solutions further propels market growth, enabling real-time collaboration and enhanced data accessibility, which are crucial in today's fast-paced technological landscape. Industries such as automotive and aerospace are heavily investing in CAD data exchange software to optimize their design workflows and improve interoperability between different CAD systems, making this market a vital component of the global digital transformation journey.



    One of the primary growth factors for the CAD Data Exchange Software market is the ongoing digital transformation across industries. As companies strive to modernize their operations, there is an increasing demand for solutions that can handle complex data and facilitate seamless communication between different CAD systems. The rise in demand for customized products and the shortening of product lifecycles necessitate the use of advanced CAD data exchange tools that can support rapid design iterations and modifications. Additionally, the growing focus on reducing time-to-market and enhancing product quality is driving industries to adopt CAD data exchange solutions that enable efficient collaboration across various departments and external partners.



    The increasing globalization of manufacturing processes is another significant factor contributing to the growth of the CAD Data Exchange Software market. As companies expand their operations across borders, there is a growing need for software solutions that can effectively manage and exchange CAD data across global teams. This need is further compounded by the rise of remote working, which has necessitated the adoption of cloud-based solutions that allow for real-time collaboration and data sharing. Moreover, the integration of Internet of Things (IoT) technologies into the design and manufacturing processes is creating a demand for CAD data exchange solutions that can handle the voluminous and complex data generated by IoT devices, thereby facilitating a more streamlined and efficient production process.



    The increasing complexity of modern designs, particularly in industries such as aerospace, automotive, and electronics, requires sophisticated CAD data exchange solutions that can ensure compatibility and interoperability between different CAD systems. This is especially important as companies often use multiple CAD systems for different stages of the design and manufacturing process, leading to potential data loss or errors if seamless data exchange is not ensured. The need to maintain data integrity and accuracy throughout the design and production process is driving the adoption of advanced CAD data exchange software, thereby contributing to market growth. Furthermore, the growing emphasis on sustainability and resource efficiency is prompting companies to optimize their design processes, further boosting the demand for CAD data exchange solutions.



    Regionally, the CAD Data Exchange Software market is witnessing significant growth across all major regions, with North America and Europe leading the charge due to their advanced technological infrastructure and strong presence of key industry players. The Asia Pacific region is expected to exhibit the highest growth rate, driven by rapid industrialization and increasing adoption of digital technologies in countries such as China and India. Latin America and the Middle East & Africa are also emerging as promising markets for CAD data exchange software, as industries in these regions are increasingly adopting advanced design technologies to enhance their competitiveness on the global stage.



    Component Analysis



    The CAD Data Exchange Software market can be segmented by its components, primarily comprising Software and Services. The software segment is the backbone of this market, encompassing a variety of solutions that facilitate the seamless exchange of CAD data across different platforms. This includes standalone software that integrates with existing CAD systems, as well as comprehensive suites that offer end-to-end data management solutions. As industries continue to become more reliant on data-driven processes, the demand for robust and versatile CA

  5. c

    Global CAD Data Exchange Software Market Report 2025 Edition, Market Size,...

    • cognitivemarketresearch.com
    pdf,excel,csv,ppt
    Updated May 10, 2025
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    Cognitive Market Research (2025). Global CAD Data Exchange Software Market Report 2025 Edition, Market Size, Share, CAGR, Forecast, Revenue [Dataset]. https://www.cognitivemarketresearch.com/cad-data-exchange-software-market-report
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    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    May 10, 2025
    Dataset authored and provided by
    Cognitive Market Research
    License

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

    Time period covered
    2021 - 2033
    Area covered
    Global
    Description

    Global CAD Data Exchange Software market size 2025 is $1405 Million whereas according out published study it will reach to $2706.42 Million by 2033. CAD Data Exchange Software market will be growing at a CAGR of 8.54% during 2025 to 2033.

  6. Z

    BIM and CAD Data sets for Large Scale Pilots

    • data.niaid.nih.gov
    Updated Aug 9, 2023
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    Ploj, Tomislav (2023). BIM and CAD Data sets for Large Scale Pilots [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_8226380
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    Dataset updated
    Aug 9, 2023
    Dataset provided by
    Bernabe, Alejandro
    Moireno, Jaime
    Osmokovič, Igor
    Meža, Sebastjan
    Ploj, Tomislav
    Description

    Datasets for large-scale demonstration in the form digital plans including BIM are given in this object.

  7. w

    Cities, Towns and Villages, City Township as CAD data, Published in Not...

    • data.wu.ac.at
    Updated Aug 19, 2017
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    NSGIC Education | GIS Inventory (2017). Cities, Towns and Villages, City Township as CAD data, Published in Not Provided, 1:1200 (1in=100ft) scale, Arizona State University. [Dataset]. https://data.wu.ac.at/schema/data_gov/ZmI0YTFkMWMtNzU1MS00NjE0LTg0OWEtYzAwZDE5YzcxNmNm
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    Dataset updated
    Aug 19, 2017
    Dataset provided by
    NSGIC Education | GIS Inventory
    Area covered
    602bccbdea6e7ade34719b60e37b4b6bbe3cbdf5
    Description

    Cities, Towns and Villages dataset current as of unknown. City Township as CAD data.

  8. 4

    CAD data underlying the publication: The Cryptex shape memory mechanism: an...

    • data.4tu.nl
    zip
    Updated Oct 1, 2024
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    Fabian Trauzettel; Pam van Zaanen; David Jager; Remi van Starkenburg; Jenny Dankelman; Paul Breedveld (2024). CAD data underlying the publication: The Cryptex shape memory mechanism: an antagonistic mechanical controller for follow-the-leader surgical instruments [Dataset]. http://doi.org/10.4121/84bcc2fe-fd4e-4c45-baae-1df38e535788.v1
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    zipAvailable download formats
    Dataset updated
    Oct 1, 2024
    Dataset provided by
    4TU.ResearchData
    Authors
    Fabian Trauzettel; Pam van Zaanen; David Jager; Remi van Starkenburg; Jenny Dankelman; Paul Breedveld
    License

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

    Dataset funded by
    European Commission
    Description

    This repository contains the CAD data used to manufacture the prototype of the Cryptex Programmable Memory Mechanism.

    The Cryptex Programmable Memory Mechanism (CPMM) is fully-mechanical Follow-the-Leader controller for tendon-driven, flexible catheters.

    Basic function

    The system contains a series of memory rings that can slide on a splined shaft. By rotating the shaft, an agular position is chosen for the rings. A second, fixed shaft is apposed axially to the first. The memory rings can be translated on to the fixed shaft one by one each with an arbitrary position, allowing the user to program a path to be followed.

    Concentric to the fixed shaft is a set of 15 reading rings. As the memory rings are translated on to the fixed shaft, they pass through the reading rings.

    The reading and memory rings are connected via a compliant H-beam that is located in the annular space between the two sets of rings. Bearings in the outer surface of the memory and inner surface of the reading rings engage with the H-beam.

    As the memory rings are in different positions, their bearings deform the H-beam into a sort of cam track, and as the memory rings travel through the reading rings, the reading rings translate the shape of the cam track into tendon displacements that can be connected to a steerable instrument shaft.


    The final prototype is approximately 155 mm long, has an outer diameter of 60.5 mm, and weighs approximately 780 grams.

    It possesses eight memory rings and 15 reading rings, allowing it to steer 15 tip segments.


    Purpose of the design

    The goal of this research was to design an easy to implement shape-memory mechanism for tendon-driven follow-the-leader devices, by integrating antagonistic tendon control within the memory mechanism.


    Description of the Dataset

    The Dataset contains the Autodesk Inventor CAD files, as well as an open STEP file which can be viewed with most CAD programs.


    • To view the assembly using Autodesk Inventor (2024 or newer), open MainAssembly.iam
    • To view the assembly using other CAD packages, open MainAssembly.stp

  9. D

    Results and raw data of an adjustable similarity calculation for computer...

    • darus.uni-stuttgart.de
    Updated May 27, 2020
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    Dennis Zink (2020). Results and raw data of an adjustable similarity calculation for computer aided design (CAD) data [Dataset]. http://doi.org/10.18419/DARUS-813
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 27, 2020
    Dataset provided by
    DaRUS
    Authors
    Dennis Zink
    License

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

    Description

    The here shown data results from a methodology for calculating the similarity of CAD parts. CAD parts are analyzed using various algorithms to find geometric features and discrete point cloud representations. The folder AnalyzedCADData contains a zip-file with the raw analyzed data of each part. All evaluated results can be found in folder EvaluationOfData in HDF5 formattet tables. An overview of the data set and the analyzed geometric features is given by an interactive HTML diagram in folder FeatureDiagram.

  10. cad-data.com - Historical whois Lookup

    • whoisdatacenter.com
    csv
    + more versions
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    AllHeart Web Inc, cad-data.com - Historical whois Lookup [Dataset]. https://whoisdatacenter.com/index.php/domain/cad-data.com/
    Explore at:
    csvAvailable download formats
    Dataset provided by
    AllHeart Web
    Authors
    AllHeart Web Inc
    License

    https://whoisdatacenter.com/index.php/terms-of-use/https://whoisdatacenter.com/index.php/terms-of-use/

    Time period covered
    Mar 15, 1985 - Jul 14, 2025
    Description

    Explore the historical Whois records related to cad-data.com (Domain). Get insights into ownership history and changes over time.

  11. a

    Peachtree Corners Outfall Inventory

    • peachtree-corners-open-data-peachtreecorners.hub.arcgis.com
    Updated Feb 3, 2020
    + more versions
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    City of Peachtree Corners (2020). Peachtree Corners Outfall Inventory [Dataset]. https://peachtree-corners-open-data-peachtreecorners.hub.arcgis.com/items/a96d34d291fc41679f099854b668bdf4
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    Dataset updated
    Feb 3, 2020
    Dataset authored and provided by
    City of Peachtree Corners
    Area covered
    Description

    The purpose of this project is to update the Stormwater infrastructure inventory for the City of Peachtree Corners in order to meet the Georgia State Environmental Protection Division (EPD) permitting standards and utilize the Stormwater data for flood modeling. In order to accomplish this task new data has been recently converted from digital Computer Aided Drawings (CAD). This new data will now be attributed to meet the standards required by the city described in this document.From the assessment of digital CAD data, hardcopy CAD drawings and field notes there are indications that capital improvements have been made in an effort to protect flood prone areas, and new land development has altered drainage pathways within the City limits. Because of the additional drainage information, improvements, and alterations, it has become necessary to update the existing converted CAD data. The updated feature classes will make it possible to more accurately assess the impact of projected growth, analyze alternatives for flood protection, and support the use of Best Management Practices (BMPs).The newly converted portion of the Stormwater infrastructure inventory geodatabase will be attributed using a combination of surveyed hardcopy Computer Aided Drawings (CAD) and the digital Computer Aided Drawings (CAD) data. Field notes and engineering drawings attached to the hardcopy CAD drawings will also be referenced to derive the necessary dimensions that are not readily visible in the CAD drawings. The following feature classes will be attributed with manual interpretation and automated calculation.Peachtree Corners Conduits:Chick-fil-a: 31 PTC conduits added Duke Reserve: 23 PTC conduits added Echo Lakeside: 37 PTC conduits added Highland Corners: 3 PTC conduits added LA Fitness: 61 PTC conduits added Mary our Queen: 20 PTC conduits added Panda Granite and Cabinets: 9 PTC conduits added Bush Road: 1 PTC conduit added Peachtree Parkway Retail: 36 PTC conduits added

    Stonington: 14 PTC conduits added Terraces: 61 PTC conduits added Wells Contractors: 13 PTC conduits added Camel Carwash: 8 PTC conduits added 3577 Peachtree Corners Circle: 1 PTC conduit added Fuqua Developments: 75 PTC conduits added Gran River: 23 PTC conduits added Harrow Trace: 8 PTC conduits added Hapag-Lloyd 13 PTC conduits addedPeachtree Corners Inlets:

    Chick-fil-a:

    ·
    23 Junction Boxes, 5 Rectangular Catch Basins

    ·
    18 Total PTC Inlets

    Duke Reserve:

    ·
    6 Junction Boxes, 2 Right Wing Catchment Basins, 2 Grated Inlet Catchment Basins, 2 Double Wing Catchment Basins, 2 Weir Overflow Orifices, 8 Grated Inlet Yard Inlets

    ·
    22 Total PTC Inlets

    Echo Lakeside:

    ·
    5 Grated Round Yard Inlets, 1 Left Wing Catchment Basin, 7 Right Wing Catchment Basins, 10 Grated Rectangular Catchment Basins, 5 Double Wing Catchment Basins, 1 Double Wing Head Wall, 7 Round Junction Boxes

    ·
    35 Total PTC Inlets

    Highland Corners:

    ·
    1 Weir Orifice Outfall Control Structure, 3 Double Wing Head Walls, 3 Round Yard Inlets

    ·
    7 Total PTC Inlets

    LAFitness:

    ·
    14 Round Junction Boxes, 7 Double Wing Catchment Basins, 2 Left Wing Catchment Basins, 3 Grated Drop Inlet Catchment Basins, 20 Round Grated Yard Inlets, 5 Double Wing Head Walls, 4 Weir Outfall Control Orifice Structures

    ·
    55 Total PTC Inlets

    Mary our Queen:

    ·
    2 Round Junction Boxes, 4 Double Wing Head Walls, 1 Double Wing Catchment Basin, 1 Weir Outfall Control Structure, 14 Grated Drop Inlet Catchment Basins

    ·
    22 Total PTC Inlets

    Panda Granite and Cabinets:

    ·
    9 Grated Yard Inlets

    ·
    9 Total PTC Inlets

    Bush Road:

    ·
    No PTC Inlets Added

    Peachtree Parkway Retail:

    ·
    9 Junction Boxes Added, 5 Yard Inlets, 4 Right Wing Catchment Basins, 11 Drop Grated Inlet Catchment Basins, 1 Double Wing Catchment Basin, 5 Double Wing Head Walls, 1 Weir Orifice Outfall Control Structure, 4 Left Wing Catchment Basins

    ·
    40 Total PTC Inlets

    Stonington:

    ·
    1 Weir Orifice Outfall Control Structure, 3 Right Wing Catchment Basins, 1 Left Wing Catchment Basins, 3 Junction Boxes, 1 Yard Inlet, 8 Grated Drop Inlet Catchment Basins

    ·
    17 Total PTC Inlets

    Terraces:

    ·
    10 Double Wing Head Walls, 8 Left Wing Catchment Basins, 7 Right Wing Catchment Basins, 7 Double Wing Catchment Basins, 12 Round Junction Boxes, 2 Weir Orifice Outfall Control Structures, 10 Grated Drop Yard Inlets, 5 Grated Drop Catchment Basins

    ·
    61 Total PTC Inlets

    Wells Contractors:

    ·
    10 Drop Yard Inlets, 1 Round Junction Box, 1 Double Wing Head Wall

    ·
    12 Total PTC Inlets

    Camel Carwash:

    ·
    2 Double Wing Catchment Basins, 3 Left Wing Catchment Basins, 1 Right Wing Catchment Basins, 5 Round Junction Boxes

    ·
    11 Total PTC Inlets

    Fuqua Developments:

    ·
    3 Grated Catchment Basins, 3 Right Wing Catchment Basins, 2 Left Wing Catchment Basins, 3 Double Wing Catchment Basins, 6 Hooded Grate Catchment Basins, 23 Round Junction Boxes, 21 Grated Yard Inlets, 1 Winged Headwall, 1 Weir Orifice Outfall Control Structure

    ·
    63 Total PTC Inlets

    Gran River:

    ·
    9 Double Wing Catchment Basins, 7 Winged Headwalls, 4 Round Junction Boxes, 4 Left Wing Catchment Basins, 3 Right Wing Catchment Basins

    ·
    27 Total PTC Inlets

    Harrow Trace:

    ·
    3 Right Wing Catchment Basins, 1 Left Wing Catchment Basin, 1 Double Wing Catchment Basin, 1 Drop Round Junction Box, 1 Headwall

    ·
    7 Total PTC Inlets

    Hapag-Lloyd:

    ·
    8 Round Junction Boxes, 1 Hooded Grate Catchment Basin, 3 Drop Inlet Catchment Basins, 1 Right Wing Catchment Basin, 2 Left Wing Catchment Basins, 1 Winged Headwall

    ·
    16 Total PTC Inlets

  12. f

    Error in the two printing methods: Deviation between the pattern of complete...

    • figshare.com
    xls
    Updated Jun 7, 2023
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    Kehui Deng; Hu Chen; Yijiao Zhao; Yongsheng Zhou; Yong Wang; Yuchun Sun (2023). Error in the two printing methods: Deviation between the pattern of complete dentures and CAD data. [Dataset]. http://doi.org/10.1371/journal.pone.0201777.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 7, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Kehui Deng; Hu Chen; Yijiao Zhao; Yongsheng Zhou; Yong Wang; Yuchun Sun
    License

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

    Description

    Error in the two printing methods: Deviation between the pattern of complete dentures and CAD data.

  13. U

    United States NASDAQ: Index: Total Return: NASDAQ Composite CAD

    • ceicdata.com
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    CEICdata.com, United States NASDAQ: Index: Total Return: NASDAQ Composite CAD [Dataset]. https://www.ceicdata.com/en/united-states/nasdaq-total-return-monthly/nasdaq-index-total-return-nasdaq-composite-cad
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    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Oct 1, 2023 - Sep 1, 2024
    Area covered
    United States
    Description

    United States NASDAQ: Index: Total Return: NASDAQ Composite CAD data was reported at 2,868.920 NA in Apr 2025. This records a decrease from the previous number of 2,963.260 NA for Mar 2025. United States NASDAQ: Index: Total Return: NASDAQ Composite CAD data is updated monthly, averaging 1,818.978 NA from Dec 2017 (Median) to Apr 2025, with 84 observations. The data reached an all-time high of 3,070.913 NA in Oct 2024 and a record low of 966.903 NA in Dec 2017. United States NASDAQ: Index: Total Return: NASDAQ Composite CAD data remains active status in CEIC and is reported by Exchange Data International Limited. The data is categorized under Global Database’s United States – Table US.EDI.SE: NASDAQ: Total Return: Monthly.

  14. a

    Peachtree Corners MS4 Stormwater Ditch

    • peachtree-corners-open-data-peachtreecorners.hub.arcgis.com
    Updated Jul 31, 2020
    + more versions
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    City of Peachtree Corners (2020). Peachtree Corners MS4 Stormwater Ditch [Dataset]. https://peachtree-corners-open-data-peachtreecorners.hub.arcgis.com/maps/c0dbcbe42af54f4bb7585f288dfbe29f
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    Dataset updated
    Jul 31, 2020
    Dataset authored and provided by
    City of Peachtree Corners
    Area covered
    Description

    PTC Stormwater DataThe purpose of this project is to update the Stormwater infrastructure inventory for the City of Peachtree Corners in order to meet the Georgia State Environmental Protection Division (EPD) permitting standards and utilize the Stormwater data for flood modeling. In order to accomplish this task new data has been recently converted from digital Computer Aided Drawings (CAD). This new data will now be attributed to meet the standards required by the city described in this document.From the assessment of digital CAD data, hardcopy CAD drawings and field notes there are indications that capital improvements have been made in an effort to protect flood prone areas, and new land development has altered drainage pathways within the City limits. Because of the additional drainage information, improvements, and alterations, it has become necessary to update the existing converted CAD data. The updated feature classes will make it possible to more accurately assess the impact of projected growth, analyze alternatives for flood protection, and support the use of Best Management Practices (BMPs).The newly converted portion of the Stormwater infrastructure inventory geodatabase will be attributed using a combination of surveyed hardcopy Computer Aided Drawings (CAD) and the digital Computer Aided Drawings (CAD) data. Field notes and engineering drawings attached to the hardcopy CAD drawings will also be referenced to derive the necessary dimensions that are not readily visible in the CAD drawings. The following feature classes will be attributed with manual interpretation and automated calculation.Peachtree Corners Conduits:Chick-fil-a: 31 PTC conduits added Duke Reserve: 23 PTC conduits added Echo Lakeside: 37 PTC conduits added Highland Corners: 3 PTC conduits added LA Fitness: 61 PTC conduits added Mary our Queen: 20 PTC conduits added Panda Granite and Cabinets: 9 PTC conduits added Bush Road: 1 PTC conduit added Peachtree Parkway Retail: 36 PTC conduits added

    Stonington: 14 PTC conduits added Terraces: 61 PTC conduits added Wells Contractors: 13 PTC conduits added Camel Carwash: 8 PTC conduits added 3577 Peachtree Corners Circle: 1 PTC conduit added Fuqua Developments: 75 PTC conduits added Gran River: 23 PTC conduits added Harrow Trace: 8 PTC conduits added Hapag-Lloyd 13 PTC conduits addedPeachtree Corners Inlets:

    Chick-fil-a:

    ·
    23 Junction Boxes, 5 Rectangular Catch Basins

    ·
    18 Total PTC Inlets

    Duke Reserve:

    ·
    6 Junction Boxes, 2 Right Wing Catchment Basins, 2 Grated Inlet Catchment Basins, 2 Double Wing Catchment Basins, 2 Weir Overflow Orifices, 8 Grated Inlet Yard Inlets

    ·
    22 Total PTC Inlets

    Echo Lakeside:

    ·
    5 Grated Round Yard Inlets, 1 Left Wing Catchment Basin, 7 Right Wing Catchment Basins, 10 Grated Rectangular Catchment Basins, 5 Double Wing Catchment Basins, 1 Double Wing Head Wall, 7 Round Junction Boxes

    ·
    35 Total PTC Inlets

    Highland Corners:

    ·
    1 Weir Orifice Outfall Control Structure, 3 Double Wing Head Walls, 3 Round Yard Inlets

    ·
    7 Total PTC Inlets

    LAFitness:

    ·
    14 Round Junction Boxes, 7 Double Wing Catchment Basins, 2 Left Wing Catchment Basins, 3 Grated Drop Inlet Catchment Basins, 20 Round Grated Yard Inlets, 5 Double Wing Head Walls, 4 Weir Outfall Control Orifice Structures

    ·
    55 Total PTC Inlets

    Mary our Queen:

    ·
    2 Round Junction Boxes, 4 Double Wing Head Walls, 1 Double Wing Catchment Basin, 1 Weir Outfall Control Structure, 14 Grated Drop Inlet Catchment Basins

    ·
    22 Total PTC Inlets

    Panda Granite and Cabinets:

    ·
    9 Grated Yard Inlets

    ·
    9 Total PTC Inlets

    Bush Road:

    ·
    No PTC Inlets Added

    Peachtree Parkway Retail:

    ·
    9 Junction Boxes Added, 5 Yard Inlets, 4 Right Wing Catchment Basins, 11 Drop Grated Inlet Catchment Basins, 1 Double Wing Catchment Basin, 5 Double Wing Head Walls, 1 Weir Orifice Outfall Control Structure, 4 Left Wing Catchment Basins

    ·
    40 Total PTC Inlets

    Stonington:

    ·
    1 Weir Orifice Outfall Control Structure, 3 Right Wing Catchment Basins, 1 Left Wing Catchment Basins, 3 Junction Boxes, 1 Yard Inlet, 8 Grated Drop Inlet Catchment Basins

    ·
    17 Total PTC Inlets

    Terraces:

    ·
    10 Double Wing Head Walls, 8 Left Wing Catchment Basins, 7 Right Wing Catchment Basins, 7 Double Wing Catchment Basins, 12 Round Junction Boxes, 2 Weir Orifice Outfall Control Structures, 10 Grated Drop Yard Inlets, 5 Grated Drop Catchment Basins

    ·
    61 Total PTC Inlets

    Wells Contractors:

    ·
    10 Drop Yard Inlets, 1 Round Junction Box, 1 Double Wing Head Wall

    ·
    12 Total PTC Inlets

    Camel Carwash:

    ·
    2 Double Wing Catchment Basins, 3 Left Wing Catchment Basins, 1 Right Wing Catchment Basins, 5 Round Junction Boxes

    ·
    11 Total PTC Inlets

    Fuqua Developments:

    ·
    3 Grated Catchment Basins, 3 Right Wing Catchment Basins, 2 Left Wing Catchment Basins, 3 Double Wing Catchment Basins, 6 Hooded Grate Catchment Basins, 23 Round Junction Boxes, 21 Grated Yard Inlets, 1 Winged Headwall, 1 Weir Orifice Outfall Control Structure

    ·
    63 Total PTC Inlets

    Gran River:

    ·
    9 Double Wing Catchment Basins, 7 Winged Headwalls, 4 Round Junction Boxes, 4 Left Wing Catchment Basins, 3 Right Wing Catchment Basins

    ·
    27 Total PTC Inlets

    Harrow Trace:

    ·
    3 Right Wing Catchment Basins, 1 Left Wing Catchment Basin, 1 Double Wing Catchment Basin, 1 Drop Round Junction Box, 1 Headwall

    ·
    7 Total PTC Inlets

    Hapag-Lloyd:

    ·
    8 Round Junction Boxes, 1 Hooded Grate Catchment Basin, 3 Drop Inlet Catchment Basins, 1 Right Wing Catchment Basin, 2 Left Wing Catchment Basins, 1 Winged Headwall

    ·
    16 Total PTC Inlets

  15. Romania Public Debt: Central Government: Currency: CAD

    • ceicdata.com
    Updated Jun 8, 2017
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    CEICdata.com (2017). Romania Public Debt: Central Government: Currency: CAD [Dataset]. https://www.ceicdata.com/en/romania/public-debt-central-government/public-debt-central-government-currency-cad
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    Dataset updated
    Jun 8, 2017
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 2006 - Dec 1, 2017
    Area covered
    Romania
    Variables measured
    Public Sector Debt
    Description

    Romania Public Debt: Central Government: Currency: CAD data was reported at 305.300 RON mn in 2017. This records a decrease from the previous number of 383.600 RON mn for 2016. Romania Public Debt: Central Government: Currency: CAD data is updated yearly, averaging 565.350 RON mn from Dec 2000 (Median) to 2017, with 18 observations. The data reached an all-time high of 887.300 RON mn in 2007 and a record low of 0.000 RON mn in 2002. Romania Public Debt: Central Government: Currency: CAD data remains active status in CEIC and is reported by Ministry of Public Finance. The data is categorized under Global Database’s Romania – Table RO.F016: Public Debt: Central Government.

  16. d

    Laser Engineered Net Shape Facility.

    • datadiscoverystudio.org
    Updated Mar 8, 2017
    + more versions
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    (2017). Laser Engineered Net Shape Facility. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/08cf462625d44c7e9e5596555a79fa01/html
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    Dataset updated
    Mar 8, 2017
    Description

    description: Laser Engineered Net Shape (LENS) is an additive manufacturing technology that uses laser power and metal powder to repair, or build, solid metal components. Components can be fabricated or repaired directly from CAD data or through a teach and learn process. Various deposition heads are available to perform repairs on the outside of a work piece or inside diameter. Depositions are preformed using a 3kW Ytterbium Fiber Laser in a work area of 3'x5'x3'.; abstract: Laser Engineered Net Shape (LENS) is an additive manufacturing technology that uses laser power and metal powder to repair, or build, solid metal components. Components can be fabricated or repaired directly from CAD data or through a teach and learn process. Various deposition heads are available to perform repairs on the outside of a work piece or inside diameter. Depositions are preformed using a 3kW Ytterbium Fiber Laser in a work area of 3'x5'x3'.

  17. Tern Island xF4 19 CAD-Derived Data, Tern Island HI, 2014, US EPA Region 9

    • catalog.data.gov
    Updated Feb 25, 2025
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    U.S. Environmental Protection Agency, Region 9 (Point of Contact, Publisher) (2025). Tern Island xF4 19 CAD-Derived Data, Tern Island HI, 2014, US EPA Region 9 [Dataset]. https://catalog.data.gov/dataset/tern-island-xf4-19-cad-derived-data-tern-island-hi-2014-us-epa-region-912
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    Dataset updated
    Feb 25, 2025
    Dataset provided by
    United States Environmental Protection Agencyhttp://www.epa.gov/
    Area covered
    Tern Island, United States
    Description

    This dataset was derived from CAD data originally published in URS Greiner Woodward Clyde, 1999, Environmental Investigation: Former U.S. Coast Guard LORAN Station, Tern Island, French Frigate Shoals, Hawaii. URS Greiner Woodward Clyde (URSGWC) was retained by the United States Coast Guard (USCG) Civil Engineering Unit (CEU) to conduct an environmental investigation at the former USCG long range navigation (LORAN) station on Tern Island. The investigation concentrated on the northwestern corner of Tern Island where the greatest environmental impact from the US military's past occupation of the island appears to have occurred.

  18. Tern Island Figure 2 CAD-Derived Polylines, Tern Island HI, 2014, US Coast...

    • catalog.data.gov
    Updated Feb 25, 2025
    + more versions
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    U.S. Environmental Protection Agency, Region 9 (Point of Contact) (2025). Tern Island Figure 2 CAD-Derived Polylines, Tern Island HI, 2014, US Coast Guard Civil Engineering Unit [Dataset]. https://catalog.data.gov/dataset/tern-island-figure-2-cad-derived-polylines-tern-island-hi-2014-us-coast-guard-civil-engineering13
    Explore at:
    Dataset updated
    Feb 25, 2025
    Dataset provided by
    United States Environmental Protection Agencyhttp://www.epa.gov/
    Area covered
    Tern Island
    Description

    This dataset was derived from CAD data originally published in URS Greiner Woodward Clyde, 1999, Environmental Investigation: Former U.S. Coast Guard LORAN Station, Tern Island, French Frigate Shoals, Hawaii. URS Greiner Woodward Clyde (URSGWC) was retained by the United States Coast Guard (USCG) Civil Engineering Unit (CEU) to conduct an environmental investigation at the former USCG long range navigation (LORAN) station on Tern Island. The investigation concentrated on the northwestern corner of Tern Island where the greatest environmental impact from the US military's past occupation of the island appears to have occurred.

  19. Tern Island Bulky Dump CAD-Derived Data, Tern Island HI, 2014, US EPA Region...

    • catalog.data.gov
    Updated Feb 25, 2025
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    U.S. Environmental Protection Agency, Region 9 (Point of Contact) (2025). Tern Island Bulky Dump CAD-Derived Data, Tern Island HI, 2014, US EPA Region 9 [Dataset]. https://catalog.data.gov/dataset/tern-island-bulky-dump-cad-derived-data-tern-island-hi-2014-us-epa-region-913
    Explore at:
    Dataset updated
    Feb 25, 2025
    Dataset provided by
    United States Environmental Protection Agencyhttp://www.epa.gov/
    Area covered
    Tern Island
    Description

    This dataset was derived from CAD data originally published in URS Greiner Woodward Clyde, 1999, Environmental Investigation: Former U.S. Coast Guard LORAN Station, Tern Island, French Frigate Shoals, Hawaii. URS Greiner Woodward Clyde (URSGWC) was retained by the United States Coast Guard (USCG) Civil Engineering Unit (CEU) to conduct an environmental investigation at the former USCG long range navigation (LORAN) station on Tern Island. The investigation concentrated on the northwestern corner of Tern Island where the greatest environmental impact from the US military's past occupation of the island appears to have occurred.

  20. China CN: Spot Exchange Rate: CFETC: Avg: CAD

    • ceicdata.com
    Updated Mar 24, 2025
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    CEICdata.com (2025). China CN: Spot Exchange Rate: CFETC: Avg: CAD [Dataset]. https://www.ceicdata.com/en/china/spot-exchange-rate-daily/cn-spot-exchange-rate-cfetc-avg-cad
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    Dataset updated
    Mar 24, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Mar 7, 2025 - Mar 24, 2025
    Area covered
    China
    Variables measured
    Foreign Exchange Rate
    Description

    China Spot Exchange Rate: CFETC: Avg: CAD data was reported at 5.162 CAD/RMB in 13 May 2025. This records a decrease from the previous number of 5.186 CAD/RMB for 12 May 2025. China Spot Exchange Rate: CFETC: Avg: CAD data is updated daily, averaging 5.210 CAD/RMB from Nov 2011 (Median) to 13 May 2025, with 3267 observations. The data reached an all-time high of 6.540 CAD/RMB in 14 Sep 2012 and a record low of 4.501 CAD/RMB in 20 Jan 2016. China Spot Exchange Rate: CFETC: Avg: CAD data remains active status in CEIC and is reported by China Foreign Exchange Trading Center. The data is categorized under China Premium Database’s Money Market, Interest Rate, Yield and Exchange Rate – Table CN.MD: Exchange Rate: Daily.

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Data Insights Market (2025). CAD Data Exchange Software Report [Dataset]. https://www.datainsightsmarket.com/reports/cad-data-exchange-software-1444302

CAD Data Exchange Software Report

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doc, ppt, pdfAvailable download formats
Dataset updated
Jun 10, 2025
Dataset authored and provided by
Data Insights Market
License

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

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

The CAD data exchange software market is experiencing robust growth, driven by the increasing adoption of cloud-based CAD solutions, the rising demand for interoperability between different CAD systems, and the growing need for efficient data management in diverse industries like manufacturing, AEC, and automotive. The market's expansion is fueled by the limitations of native CAD formats and the escalating need for seamless data transfer between different design platforms and stakeholders throughout the product lifecycle. This necessitates solutions that bridge the compatibility gaps and prevent data loss or corruption during translation. While challenges remain, such as the complexity of integrating diverse CAD formats and the need for robust security protocols, the market shows strong potential for continued expansion. The projected Compound Annual Growth Rate (CAGR) indicates a significant increase in market value over the forecast period (2025-2033). Companies like Dassault Systèmes, Actify, and Tech Soft 3D are key players, continuously innovating to improve data exchange efficiency, accuracy, and security. The market is segmented by software type (translator, neutral file format, etc.), deployment model (cloud, on-premise), and industry vertical, with significant opportunities emerging in regions with rapidly developing manufacturing and design sectors. The historical period (2019-2024) has laid the foundation for this continued growth, demonstrating consistent market expansion. The competitive landscape is characterized by a mix of established players and emerging companies. Established players leverage their extensive experience and well-established customer bases, while new entrants bring innovative solutions and technologies to the market. Strategic partnerships, acquisitions, and technological advancements will continue to shape the market dynamics. The market's future hinges on the further development of robust, secure, and user-friendly solutions capable of handling increasingly complex CAD data sets, along with advancements in artificial intelligence (AI) and machine learning (ML) to automate data exchange processes and enhance accuracy. The ongoing adoption of digital twin technologies is further bolstering demand for efficient and reliable CAD data exchange software, driving market expansion in the coming years. Specific regional growth will be influenced by factors such as digital transformation initiatives, government regulations, and the strength of local manufacturing industries.

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