100+ datasets found
  1. Industrial Dataset

    • kaggle.com
    Updated May 8, 2023
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    Be Schue (2023). Industrial Dataset [Dataset]. https://www.kaggle.com/datasets/beschue/industrial-classification-data-set
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 8, 2023
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Be Schue
    Description

    The dataset includes 10 object categories from the MVTEC INDUSTRIAL 3D OBJECT DETECTION DATASET as input CAD objects. The selected objects include a diverse range of industrial products:

    S.NoObject Class
    1adapter plate triangular
    2bracket big
    3clamp small
    4engine part cooler round
    5engine part cooler square
    6injection pump
    7screw
    8star
    9tee connector
    10thread

    The dataset contains a total of 100,000 RGB images of each object category, divided into three sets: 70,000 for training, 20,000 for testing, and 10,000 for validation. Each image has a resolution of 224 x 224 and is in JPEG format.

    To ensure the suitability of our dataset for various computer vision tasks, we included not only the class labels but also generated bounding boxes and semantic masks for each image, which are stored in COCO annotation format. Each image contains one instance of the ten selected objects.

    Throughout the 10,000 images for each class, we randomly varied the position of the object in x-y-z direction and the object’s rotation to provide a diverse range of images. Additionally, we changed the object’s surface to a smooth metallic texture, imitating real industrial components. Lastly, we varied the lighting conditions within each image, including the position of the light sources, their energy, and emission strength.

    Find out more about our Data Generation Tool:

    Schuerrle, B., Sankarappan, V., & Morozov, A. (2023). SynthiCAD: Generation of Industrial Image Data Sets for Resilience Evaluation of Safety-Critical Classifiers. In Proceeding of the 33rd European Safety and Reliability Conference. 33rd European Safety and Reliability Conference. Research Publishing Services. https://doi.org/10.3850/978-981-18-8071-1_p400-cd

  2. F

    Contributions to Percent Change in Real GDP by Industry: Information

    • fred.stlouisfed.org
    json
    Updated Jun 26, 2025
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    (2025). Contributions to Percent Change in Real GDP by Industry: Information [Dataset]. https://fred.stlouisfed.org/series/CPGDPI
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    jsonAvailable download formats
    Dataset updated
    Jun 26, 2025
    License

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

    Description

    Graph and download economic data for Contributions to Percent Change in Real GDP by Industry: Information (CPGDPI) from Q2 2005 to Q1 2025 about contributions, information, private industries, percent, private, real, industry, GDP, and USA.

  3. Number of companies using ChatGPT within their business 2023, by industry

    • statista.com
    • ai-chatbox.pro
    Updated Aug 12, 2024
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    Statista (2024). Number of companies using ChatGPT within their business 2023, by industry [Dataset]. https://www.statista.com/statistics/1384323/industries-using-chatgpt-in-business/
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    Dataset updated
    Aug 12, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Worldwide
    Description

    ChatGPT, an artificial intelligence (AI) powered chatbot, is most used by companies in the technical and education industries, with over 200 companies using it in 2023. It is perhaps unsurprising that the technical field has embraced the use of ChatGPT, but it is interesting that so many educational institutes have begun to use it. While other industries do utilize the OpenAI-made chatbot, there are less than a 100 institutions and companies that use ChatGPT in other industries. This is especially true of agriculture, cultural, and legal industries, where only a single company is using ChatGPT in 2023.

  4. Big Data Analytics in Retail Market - Trends & Industry Analysis

    • mordorintelligence.com
    pdf,excel,csv,ppt
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    Mordor Intelligence, Big Data Analytics in Retail Market - Trends & Industry Analysis [Dataset]. https://www.mordorintelligence.com/industry-reports/big-data-analytics-in-retail-marketing-market
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset authored and provided by
    Mordor Intelligence
    License

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

    Time period covered
    2021 - 2030
    Area covered
    Global
    Description

    The Data Analytics in Retail Industry is segmented by Application (Merchandising and Supply Chain Analytics, Social Media Analytics, Customer Analytics, Operational Intelligence, Other Applications), by Business Type (Small and Medium Enterprises, Large-scale Organizations), and Geography. The market size and forecasts are provided in terms of value (USD billion) for all the above segments.

  5. F

    Corporate profits before tax: Domestic industries: Transportation services

    • fred.stlouisfed.org
    json
    Updated Aug 10, 2015
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    (2015). Corporate profits before tax: Domestic industries: Transportation services [Dataset]. https://fred.stlouisfed.org/series/B3044C0A144NBEA
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    jsonAvailable download formats
    Dataset updated
    Aug 10, 2015
    License

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

    Description

    Graph and download economic data for Corporate profits before tax: Domestic industries: Transportation services (B3044C0A144NBEA) from 1987 to 2000 about corporate profits, tax, transportation, domestic, corporate, services, industry, GDP, and USA.

  6. eCommerce Statistics by Industry in 2025

    • aftership.com
    pdf
    Updated Jan 13, 2024
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    AfterShip (2024). eCommerce Statistics by Industry in 2025 [Dataset]. https://www.aftership.com/ecommerce/statistics/stores
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    pdfAvailable download formats
    Dataset updated
    Jan 13, 2024
    Dataset authored and provided by
    AfterShiphttps://www.aftership.com/
    License

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

    Description

    Explore the eCommerce statistics by industry and category for the year 2025. This page provides insights into the performance of different eCommerce categories, including store count, estimated sales amounts, products sold, and app spend. Gain a comprehensive understanding of the eCommerce landscape in 2025, with data-driven insights on market dynamics and consumer preferences. Stay informed about industry trends and benchmarks within specific eCommerce categories, empowering businesses to identify growth opportunities and optimize operations. This report is a valuable resource for industry professionals navigating the evolving world of eCommerce.

  7. F

    Intermediate Inputs by Industry: Information (Chain-Type Price Index)

    • fred.stlouisfed.org
    json
    Updated Mar 27, 2025
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    (2025). Intermediate Inputs by Industry: Information (Chain-Type Price Index) [Dataset]. https://fred.stlouisfed.org/series/IIPIPI
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    jsonAvailable download formats
    Dataset updated
    Mar 27, 2025
    License

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

    Description

    Graph and download economic data for Intermediate Inputs by Industry: Information (Chain-Type Price Index) (IIPIPI) from Q2 2005 to Q4 2024 about intermediate, information, chained, private industries, private, industry, rate, price index, indexes, price, and USA.

  8. w

    Share of companies per industry where industry equals Diversified Consumer...

    • workwithdata.com
    Updated May 6, 2025
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    Work With Data (2025). Share of companies per industry where industry equals Diversified Consumer Services [Dataset]. https://www.workwithdata.com/charts/companies?agg=count&chart=pie&f=1&fcol0=industry&fop0=%3D&fval0=Diversified+Consumer+Services&x=industry&y=records
    Explore at:
    Dataset updated
    May 6, 2025
    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

    This pie chart displays companies per industry using the aggregation count. The data is filtered where the industry is Diversified Consumer Services. The data is about companies.

  9. c

    Trade and industry; employment and finance per sector, SIC 2008

    • cbs.nl
    • ckan.mobidatalab.eu
    • +1more
    xml
    Updated Apr 18, 2025
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    Centraal Bureau voor de Statistiek (2025). Trade and industry; employment and finance per sector, SIC 2008 [Dataset]. https://www.cbs.nl/en-gb/figures/detail/81156eng
    Explore at:
    xmlAvailable download formats
    Dataset updated
    Apr 18, 2025
    Dataset authored and provided by
    Centraal Bureau voor de Statistiek
    License

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

    Time period covered
    2009 - 2023
    Area covered
    The Netherlands
    Description

    This table shows relevant economic data for trade and industry sectors, e.g. the number of persons employed, costs and revenues, turnover and other financial results. The figures can be divided by a number of sectors/ branches according to Statistics Netherlands' Standard Industrial Classification of all Economic Activities 2008 (SIC 2008).

    Data available from: 2009.

    Status of the figures: All data in the table are definite.

    Changes as of April 18, 2025:

    Figures of 2023 have been added.

    When will new figures be published?

    Results are made available circa 15 months after the year under review. In March/April 2026, new figures will be published for 2024.

  10. Web Design Services in the US - Market Research Report (2015-2030)

    • ibisworld.com
    Updated Sep 15, 2024
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    IBISWorld (2024). Web Design Services in the US - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/united-states/market-research-reports/web-design-services-industry/
    Explore at:
    Dataset updated
    Sep 15, 2024
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2014 - 2029
    Area covered
    United States
    Description

    Web design service companies have experienced significant growth over the past few years, driven by the expanding use of the Internet. As online operations have become more widespread, businesses and consumers have increasingly recognized the importance of maintaining an online presence, leading to robust demand for web design services and boosting the industry’s profit. The rise in broadband connections and online business activities further spotlight this trend, making web design a vital component of modern commerce and communication. This solid foundation suggests the industry has been thriving despite facing some economic turbulence related to global events and shifting financial climates. Over the past few years, web design companies have navigated a dynamic landscape marked by both opportunities and challenges. Strong economic conditions have typically favored the industry, with rising disposable incomes and low unemployment rates encouraging both consumers and businesses to invest in professional web design. Despite this, the sector also faced hurdles such as high inflation, which made cost increases necessary and pushed some customers towards cheaper substitutes such as website templates and in-house production, causing a slump in revenue in 2022. Despite these obstacles, the industry has demonstrated resilience against rising interest rates and economic uncertainties by focusing on enhancing user experience and accessibility. Overall, revenue for web design service companies is anticipated to rise at a CAGR of 2.2% during the current period, reaching $43.5 billion in 2024. This includes a 2.2% jump in revenue in that year. Looking ahead, web design companies will continue to do well, as the strong performance of the US economy will likely support ongoing demand for web design services, bolstered by higher consumer spending and increased corporate profit. On top of this, government investment, especially at the state and local levels, will provide further revenue streams as public agencies seek to upgrade their web presence. Innovation remains key, with a particular emphasis on designing for mobile devices as more activities shift to on-the-go platforms. Companies that can effectively adapt to these trends and invest in new technologies will likely capture a significant market share, fostering an environment where entry remains feasible yet competitive. Overall, revenue for web design service providers is forecast to swell at a CAGR of 1.9% during the outlook period, reaching $47.7 billion in 2029.

  11. Key data on the coffee and snack shop industry in the U.S. 2025

    • statista.com
    Updated Jun 2, 2025
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    Statista (2025). Key data on the coffee and snack shop industry in the U.S. 2025 [Dataset]. https://www.statista.com/statistics/1174179/coffee-and-snack-shop-market-size-us/
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    Dataset updated
    Jun 2, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The market size of the coffee and snack shop sector in the United States totaled **** billion U.S. dollars as of April 2025. Meanwhile, the number of businesses reached nearly ****** and employment reached over *******.

  12. Private data violation incidents in the U.S. 2020-2023, by industry

    • statista.com
    • ai-chatbox.pro
    Updated Apr 2, 2025
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    Statista (2025). Private data violation incidents in the U.S. 2020-2023, by industry [Dataset]. https://www.statista.com/statistics/1318379/us-number-of-private-data-compromises-by-industry/
    Explore at:
    Dataset updated
    Apr 2, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2023, the healthcare industry in the United States remained the most targeted by cyber attacks, resulting in data compromises. Compared to 2022, the number of data compromise incidents in the U.S. healthcare industry increased more than twice. The financial services sector ranked second, with 744 data compromise incidents, representing a significant increase, too.

  13. Corporate ordinary profit of manufacturing sector Japan FY 2023, by industry...

    • statista.com
    Updated Sep 2, 2024
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    Statista (2024). Corporate ordinary profit of manufacturing sector Japan FY 2023, by industry [Dataset]. https://www.statista.com/statistics/875802/japan-corporate-ordinary-profit-manufacturing-sector-by-industry/
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    Dataset updated
    Sep 2, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Japan
    Description

    In the fiscal year 2023, the total corporate ordinary profit of the transportation equipment industry in Japan amounted to approximately 10.6 trillion Japanese yen, representing the highest value among all industries in the manufacturing sector. In the same year, the incorporated enterprises in the chemical and allied products industry generated an ordinary profit of almost 5.7 trillion yen.

  14. Distribution of startups worldwide 2022, by industry

    • statista.com
    Updated Jun 15, 2023
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    Statista (2023). Distribution of startups worldwide 2022, by industry [Dataset]. https://www.statista.com/statistics/882615/startups-worldwide-by-industry/
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    Dataset updated
    Jun 15, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    Worldwide
    Description

    In terms of deals over the past five years, artificial intelligence and big data was the largest VC-funded startup industry in 2022, accounting for close to ** percent of the global deals. Meanwhile, fintech accounted for ** percent of the deals, with life sciences and health care behind with ** percent. Blue economy and digital media were the smallest industries with only *** percent each. However, the blue economy saw its funding deals almost ******** over the past five years.

  15. Big Data Healthcare Market Analysis | Industry Growth, Size & Forecast...

    • mordorintelligence.com
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    Mordor Intelligence, Big Data Healthcare Market Analysis | Industry Growth, Size & Forecast Report [Dataset]. https://www.mordorintelligence.com/industry-reports/big-data-healthcare
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset authored and provided by
    Mordor Intelligence
    License

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

    Time period covered
    2019 - 2030
    Area covered
    Global
    Description

    The Big Data In Healthcare Market report segments the industry into By Component (Software, Services), By Deployment (On-premise, Cloud), By Application (Financial Analytics, Clinical Data Analytics, Operational Analytics, Population Health Analytics) and Geography (North America, Europe, Asia-Pacific, Middle East and Africa, South America).

  16. F

    Gross Domestic Product: All Industries in Torrance County, NM

    • fred.stlouisfed.org
    json
    Updated Dec 4, 2024
    + more versions
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    (2024). Gross Domestic Product: All Industries in Torrance County, NM [Dataset]. https://fred.stlouisfed.org/series/GDPALL35057
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    jsonAvailable download formats
    Dataset updated
    Dec 4, 2024
    License

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

    Area covered
    New Mexico, Torrance County
    Description

    Graph and download economic data for Gross Domestic Product: All Industries in Torrance County, NM (GDPALL35057) from 2001 to 2023 about Torrance County, NM; Albuquerque; NM; industry; GDP; and USA.

  17. F

    Infra-Annual Labor Statistics: Employment: Economic Activity: Industry...

    • fred.stlouisfed.org
    json
    Updated Jun 16, 2025
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    (2025). Infra-Annual Labor Statistics: Employment: Economic Activity: Industry (Including Construction): Total for Japan [Dataset]. https://fred.stlouisfed.org/series/LFEAICTTJPM647S
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    jsonAvailable download formats
    Dataset updated
    Jun 16, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Area covered
    Japan
    Description

    Graph and download economic data for Infra-Annual Labor Statistics: Employment: Economic Activity: Industry (Including Construction): Total for Japan (LFEAICTTJPM647S) from Jan 1970 to Apr 2025 about Japan, construction, employment, and industry.

  18. China CN: Industrial Enterprise: Value Added of Industry

    • ceicdata.com
    Updated Dec 15, 2024
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    CEICdata.com (2024). China CN: Industrial Enterprise: Value Added of Industry [Dataset]. https://www.ceicdata.com/en/china/industrial-financial-data/cn-industrial-enterprise-value-added-of-industry
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    Dataset updated
    Dec 15, 2024
    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, 1996 - Dec 1, 2007
    Area covered
    China
    Variables measured
    Economic Activity
    Description

    China Industrial Enterprise: Value Added of Industry data was reported at 11,704,840.000 RMB mn in 2007. This records an increase from the previous number of 9,107,573.000 RMB mn for 2006. China Industrial Enterprise: Value Added of Industry data is updated yearly, averaging 2,539,480.000 RMB mn from Dec 1993 (Median) to 2007, with 15 observations. The data reached an all-time high of 11,704,840.000 RMB mn in 2007 and a record low of 1,284,263.000 RMB mn in 1993. China Industrial Enterprise: Value Added of Industry data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under Global Database’s China – Table CN.BF: Industrial Financial Data.

  19. Mail Order in the US - Market Research Report (2015-2030)

    • ibisworld.com
    Updated Apr 7, 2025
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    IBISWorld (2025). Mail Order in the US - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/united-states/industry/mail-order/1931/
    Explore at:
    Dataset updated
    Apr 7, 2025
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2015 - 2030
    Area covered
    United States
    Description

    Mail-order retailers are companies that primarily use mail catalogs and TV to display and sell merchandise. Rapidly increasing competition from online shopping outlets forced mail-order retailers to develop new strategies to prevent revenue losses or slow growth. E-commerce retailers offer levels of convenience that are highly attractive to consumers, lowering sales from mail order services, particularly among younger consumers. However, the industry benefited from the pandemic, as older consumers were encouraged to reduce exposure to the virus and stay at home. Revenue for mail-order businesses is expected to climb at a CAGR of 4.3% to $252.3 billion through the end of 2024, despite a forecast decline of 2.1% in 2024. Many mail order retailers began offering internet and mobile e-commerce services to cope with slowing industry revenue and increasing demand for online retailers. In recent years, a growing share of retail sales have come from online websites and mobile apps, cannibalizing sales generated by mail-order channels. Although this increases revenue for individual companies, it shows the falling reliability of mail-order sales as a source of revenue. Similarly, mail-order retailers are affected by lower cable TV subscriptions, reducing exposure and lowering revenue from infomercials. The growing competitive landscape has pressured prices and contributed to lower profitability. Moving forward, external competition from e-commerce and brick-and-mortar retailers will harm industry performance. Consumers will continue to opt for online shopping because of the increased convenience and ability to compare products and prices across multiple brands. Declines in cable TV subscriptions will continue threatening TV home-shopping networks as fewer consumers can access these channels. Consumers who find these channels can access e-commerce solutions to compare prices and shop directly on the website. As high-speed internet access becomes more widespread along with robust cellular coverage, mail-order businesses will endure further external pressures. These factors are expected to cause revenue to drop at a CAGR of 1.6% to $232.9 billion through the end of 2029.

  20. Industrial IoT: global adoption rate by industry 2017

    • statista.com
    Updated Mar 17, 2022
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    Statista (2022). Industrial IoT: global adoption rate by industry 2017 [Dataset]. https://www.statista.com/statistics/797392/industrial-iot-adoption-worldwide-by-industry/
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    Dataset updated
    Mar 17, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2017
    Area covered
    Worldwide
    Description

    This statistic represents the industrial Internet of Things (IoT) adoption rate worldwide as of 2017, with a breakdown by industry. In 2017, the automotive industry had a 13 percent adoption rate for industrial IoT.

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Be Schue (2023). Industrial Dataset [Dataset]. https://www.kaggle.com/datasets/beschue/industrial-classification-data-set
Organization logo

Industrial Dataset

Benchmark Industrial Dataset for object classification generated from 3D models

Explore at:
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
May 8, 2023
Dataset provided by
Kagglehttp://kaggle.com/
Authors
Be Schue
Description

The dataset includes 10 object categories from the MVTEC INDUSTRIAL 3D OBJECT DETECTION DATASET as input CAD objects. The selected objects include a diverse range of industrial products:

S.NoObject Class
1adapter plate triangular
2bracket big
3clamp small
4engine part cooler round
5engine part cooler square
6injection pump
7screw
8star
9tee connector
10thread

The dataset contains a total of 100,000 RGB images of each object category, divided into three sets: 70,000 for training, 20,000 for testing, and 10,000 for validation. Each image has a resolution of 224 x 224 and is in JPEG format.

To ensure the suitability of our dataset for various computer vision tasks, we included not only the class labels but also generated bounding boxes and semantic masks for each image, which are stored in COCO annotation format. Each image contains one instance of the ten selected objects.

Throughout the 10,000 images for each class, we randomly varied the position of the object in x-y-z direction and the object’s rotation to provide a diverse range of images. Additionally, we changed the object’s surface to a smooth metallic texture, imitating real industrial components. Lastly, we varied the lighting conditions within each image, including the position of the light sources, their energy, and emission strength.

Find out more about our Data Generation Tool:

Schuerrle, B., Sankarappan, V., & Morozov, A. (2023). SynthiCAD: Generation of Industrial Image Data Sets for Resilience Evaluation of Safety-Critical Classifiers. In Proceeding of the 33rd European Safety and Reliability Conference. 33rd European Safety and Reliability Conference. Research Publishing Services. https://doi.org/10.3850/978-981-18-8071-1_p400-cd

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