7 datasets found
  1. E

    Webis-Revenue-10

    • live.european-language-grid.eu
    • webis.de
    • +1more
    xml
    Updated Apr 7, 2024
    + more versions
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    (2024). Webis-Revenue-10 [Dataset]. https://live.european-language-grid.eu/catalogue/corpus/7547
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    xmlAvailable download formats
    Dataset updated
    Apr 7, 2024
    License

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

    Description

    The corpus consists of 1,128 German news articles from the years 2003 to 2009, collected from 29 general and business news websites. In each article, statements on the revenue of companies or markets were manually annotated, i.e., sentences and entities that refer to a statement are tagged and linked to each other.

    Here is an example of a revenue statement from the corpus:

    Loewe AG: Vorläufige Neun-Monats-ZahlenKronach, [6. November 2007]REF - Das Ergebnis vor Zinsen und Steuern (EBIT) des Loewe Konzerns konnte in den ersten 9 Monaten 2007 um 41% gesteigert werden. Vor diesem Hintergrund hebt die [Loewe AG]ORG ihre EBIT-Prognose für das laufende Geschäftsjahr auf 20 Mio. Euro an. Beim Umsatz strebt Konzernchef [Rainer Hecker]AUTH [für das Gesamtjahr]TIME ein höher als ursprünglich geplantes [Wachstum]TREND [von 10% auf ca. 380 Mio. Euro]MONEY an. (...)

    A revenue statement comprises seven attributes:

    Forecast/Declaration: A sentence that represents a forecast or declaration on revenue.Organization/Market: The subject of the statement, i.e., either an organization or market.Time Expression: The period of time referenced by the statement.Reference Point: The point in time when the statement was issued (used to resolute relative time expressions). Money Expression: The monetary value referenced by the statement.Author: The holder of the statement.Trend: A word that indicates the trend of the monetary entity.A total of 2,075 statements have been annotated by domain experts. For more information on the construction of the dataset see the documentation.

  2. Annual net sales of Amazon 2004-2023

    • statista.com
    • +7more
    Updated May 22, 2024
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    Statista (2024). Annual net sales of Amazon 2004-2023 [Dataset]. https://www.statista.com/statistics/266282/annual-net-revenue-of-amazoncom/
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    Dataset updated
    May 22, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    From 2004 to 2023, the net revenue of Amazon e-commerce and service sales has increased tremendously. In the last reported year, the multinational e-commerce company's net revenue was almost 576 billion U.S. dollars, up from 514 billion U.S. dollars in 2022. Amazon.com, a U.S. electronic commerce company originally founded in 1994, is the world’s largest online retailer of books, clothing, electronics, music, and many more goods. As of 2022, the company generates the majority of it's net revenues through online retail product sales, followed by third-party retail seller services, cloud computing services, and retail subscription services including Amazon Prime. From seller to digital environment Through Amazon, consumers are able to purchase goods at a rather discounted price from both small and large companies as well as from other users. Both new and used goods are sold on the website. Due to the wide variety of goods available at prices which often undercut local brick-and-mortar retail offerings, Amazon has dominated the retailer market. As of 2022, Amazon’s brand worth amounts to over 281 billion U.S. dollars, topping the likes of companies such as Walmart, Ikea, as well as digital competitors Alibaba and eBay. One of Amazon's first forays into the world of hardware was its e-reader Kindle, one of the most popular e-book readers worldwide. More recently, Amazon has also released several series of own-branded products and a voice-controlled virtual assistant, Alexa. Headquartered in North America Due to its location, Amazon offers more services in North America than worldwide. As a result, the majority of the company’s net revenue in 2021 was actually earned in the United States and Canada. In 2022, approximately 316 billion U.S. dollars was earned in North America compared to only roughly 118 billion U.S. dollars internationally.

  3. c

    Global Website Optimisation Tools Market Report 2024 Edition, Market Size,...

    • cognitivemarketresearch.com
    pdf,excel,csv,ppt
    Updated Sep 9, 2022
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    Cognitive Market Research (2022). Global Website Optimisation Tools Market Report 2024 Edition, Market Size, Share, CAGR, Forecast, Revenue [Dataset]. https://www.cognitivemarketresearch.com/website-optimisation-tools-market-report
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Sep 9, 2022
    Dataset authored and provided by
    Cognitive Market Research
    License

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

    Time period covered
    2019 - 2031
    Area covered
    Global
    Description

    Get the sample copy of Website Optimisation Tools Market Report 2024 (Global Edition) which includes data such as Market Size, Share, Growth, CAGR, Forecast, Revenue, list of Website Optimisation Tools Companies (Hotjar, Moz, Ahrefs, ClickCease, Optimizely, Datadog, Crazy Egg, SolarWinds, SimilarWeb, RapidSpike, Hunch Manifest, Convertize, Key Tools, AI Internet Solutions, AB Tasty, Kaleidoscope Global, GT.net, Jumpshot, Invesp, DareBoost, SeoSamba, SiteSpect, SEO Site Checkup, EGrove Systems, Aiva Labs, XML Sitemaps, Crownpeak Technology, Convert Insights, Rigor, Gitt), Market Segmented by Type (10, 000 Pageviews / Day, 20, 000 Pageviews / Day, 50, 000 Pageviews / Day, 120, 000 Pageviews /Day), by Application (Personal, Enterprise, Government Sector, Other)

  4. E

    Slack Statistics – By Country, Market Share, Productivity, Trend, Industry,...

    • enterpriseappstoday.com
    Updated Aug 31, 2023
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    EnterpriseAppsToday (2023). Slack Statistics – By Country, Market Share, Productivity, Trend, Industry, Demographics, Website Traffic, App [Dataset]. https://www.enterpriseappstoday.com/stats/slack-statistics.html
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    Dataset updated
    Aug 31, 2023
    Dataset authored and provided by
    EnterpriseAppsToday
    License

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

    Time period covered
    2022 - 2032
    Area covered
    Global
    Description

    Slack Statistics: Slack is a messaging app used in businesses that allows connecting people to information whenever they require it. This app was founded in 2013 but launched in the market in 2014 and has gained instant success by 2nd week the app had more than 15,000 users. It includes a variety of features that can be easily customized suitably as per the company’s needs. Modern days Slack can be replaced with both WhatsApp and email and this app can fix the same work in a better, faster, organized, and secure way. As of reports, in the 1st quarter of 2022, Slack had 20 million users which generated approximately $273.4 million in revenue. These Slack Statistics include insights from various aspects such as productivity, collaboration, and team dynamics that will shed light on how fast Slack is gaining popularity in the current business world. (Source: techjury.com) Editor’s choice The popularity of Slack has been on an epic rise for many years now, and there’s no sign of stopping its amazing growth. Year Daily Users Monthly Users 2025 8.7 million 14.6 million 2024 12.6 million 21 million 2023 19.2 million 32.2 million 2022 25.7 million 43.1 million (Source: colorlib.com) As of date 2023, the active users of Slack turned out around 20 million. The revenue generated by the Slack app in 2022 was $273.4 million which has increased by 36% from 2021. In 2022, the paid Slack customers were above 169,000 increased by 39% from last year. By the end of 2025, the active users are expected to reach 79 million and the estimated daily users will be 47.2 million. It is estimated that $13.8 average revenue is going to be generated by paying Slack users and the overall revenue rate is supposed to be $4,271 million in 2025. In 2023 as of the latest data, the value of Slack was $26.51 billion and in 2022 it valued $26.23 billion. Slack is currently used for daily communication and managing projects reported by 65 Fortune companies out of the top 100 across the world in 2022. On weekdays Slack users usually spend around 9 hours on Slack and the rest was observed for at least 90 minutes.

  5. Revenue forecast for fastest-growing U.S. industries 2012-2017

    • statista.com
    Updated Apr 30, 2012
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    Statista (2012). Revenue forecast for fastest-growing U.S. industries 2012-2017 [Dataset]. https://www.statista.com/statistics/224657/revenue-forecast-for-10-fastest-growing-us-industries/
    Explore at:
    Dataset updated
    Apr 30, 2012
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2012
    Area covered
    United States
    Description

    This statistic shows revenue forecasts for 2012 and 2017 for the 10 fastest-growing industries in the United States. Revenue in the green & sustainable building construction industry is expected to grow from 103 billion U.S. dollars in 2012 to approximately 287 billion U.S. dollars by 2017.

  6. Walmart, Inc.: Share of e-commerce revenues in total revenues 2020

    • statista.com
    Updated Jul 11, 2023
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    Statista (2023). Walmart, Inc.: Share of e-commerce revenues in total revenues 2020 [Dataset]. https://www.statista.com/forecasts/1218332/walmart-inc-e-commerce-net-sales-ecommercedb
    Explore at:
    Dataset updated
    Jul 11, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2020
    Area covered
    Worldwide
    Description

    First party e-commerce net sales generated by online stores of Walmart, Inc. represented approximately 12% of the total net sales of Walmart, Inc. in 2020. From their humble beginnings as a small discount retailer in Rogers, Ark., Walmart has opened thousands of stores in the U.S. and expanded internationally. Through innovation, they are creating a seamless experience to let customers shop anytime and anywhere online, through mobile devices and in stores. They are creating opportunities and bringing value to customers and communities around the globe. Walmart operates approximately 11,500 stores under 56 banners in 27 countries and eCommerce websites in 10 countries. They employ more than 2.2 million associates around the world — nearly 1.5 million in the U.S. alone.

  7. Global retail e-commerce sales 2014-2027

    • statista.com
    • yiyi-bot.site
    • +14more
    Updated May 22, 2024
    + more versions
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    Statista (2024). Global retail e-commerce sales 2014-2027 [Dataset]. https://www.statista.com/statistics/379046/worldwide-retail-e-commerce-sales/
    Explore at:
    Dataset updated
    May 22, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jun 2023
    Area covered
    Worldwide
    Description

    In 2023, global retail e-commerce sales reached an estimated 5.8 trillion U.S. dollars. Projections indicate a 39 percent growth in this figure over the coming years, with expectations to surpass eight trillion dollars by 2027.

    World players Among the key players on the world stage, the Chinese retail giant Alibaba holds the title of the largest e-commerce retailer globally, accounting for a 23 percent market share. Nevertheless, forecasts suggest that by 2027, Seattle-based e-commerce powerhouse Amazon will surpass Alibaba in estimated sales, reaching a staggering 1.2 trillion U.S. dollars in online sales.

    Leading e-tailing countries The Chinese e-commerce market was the biggest worldwide in 2023, as internet sales constituted almost half of the country's retail transactions. Indonesia ranked second with the highest share of retail sales online (32 percent), closely trailed by the United Kingdom and South Korea, exceeding the 30 percent mark. That year, the up-and-coming e-commerce markets centered around Asia. The Philippines and India stood out as the swiftest-growing e-commerce markets based on online sales, anticipating a growth rate surpassing 20 percent.

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(2024). Webis-Revenue-10 [Dataset]. https://live.european-language-grid.eu/catalogue/corpus/7547

Webis-Revenue-10

Explore at:
xmlAvailable download formats
Dataset updated
Apr 7, 2024
License

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

Description

The corpus consists of 1,128 German news articles from the years 2003 to 2009, collected from 29 general and business news websites. In each article, statements on the revenue of companies or markets were manually annotated, i.e., sentences and entities that refer to a statement are tagged and linked to each other.

Here is an example of a revenue statement from the corpus:

Loewe AG: Vorläufige Neun-Monats-ZahlenKronach, [6. November 2007]REF - Das Ergebnis vor Zinsen und Steuern (EBIT) des Loewe Konzerns konnte in den ersten 9 Monaten 2007 um 41% gesteigert werden. Vor diesem Hintergrund hebt die [Loewe AG]ORG ihre EBIT-Prognose für das laufende Geschäftsjahr auf 20 Mio. Euro an. Beim Umsatz strebt Konzernchef [Rainer Hecker]AUTH [für das Gesamtjahr]TIME ein höher als ursprünglich geplantes [Wachstum]TREND [von 10% auf ca. 380 Mio. Euro]MONEY an. (...)

A revenue statement comprises seven attributes:

Forecast/Declaration: A sentence that represents a forecast or declaration on revenue.Organization/Market: The subject of the statement, i.e., either an organization or market.Time Expression: The period of time referenced by the statement.Reference Point: The point in time when the statement was issued (used to resolute relative time expressions). Money Expression: The monetary value referenced by the statement.Author: The holder of the statement.Trend: A word that indicates the trend of the monetary entity.A total of 2,075 statements have been annotated by domain experts. For more information on the construction of the dataset see the documentation.

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