22 datasets found
  1. Xing: number of D-A-CH users 2013-2024

    • statista.com
    Updated Jan 13, 2025
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    Statista (2025). Xing: number of D-A-CH users 2013-2024 [Dataset]. https://www.statista.com/statistics/360796/xing-dach-members/
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    Dataset updated
    Jan 13, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Austria, Germany, Switzerland
    Description

    Xing user numbers in German-speaking countries (Germany, Austria and Switzerland, shortened to D-A-CH in German) have been rising year after year. Most recently, to around 22.5 million users, which corresponds to an increase of around 0.6 million members compared to the same quarter of the previous year. Xing is the leading German-language professional social network. Searching for talent Nowadays, recruiting new employees is primarily conducted through online job ads and applications. Online recruiting platforms remain the most popular way to gain reach for job postings and attract the best-suited candidates in Germany, Austria, and Switzerland. However, Xing is just one of many recruitment platforms available in the German-speaking market. Loosing popularity Xing has based its headquarters in Hamburg and has since expanded to include offices in other cities. Although its user base has grown steadily, the platform has lost ground in relevance compared to platforms like YouTube or TikTok, particularly for brands using online platforms and social media for advertising. Only about 5% of brands actively use Xing for this purpose. Overall, Xing’s popularity seems to be declining; in 2022, although around 57% of German respondents were familiar with Xing, only about 7% reported using it regularly

  2. Xing brand profile in Germany 2022

    • statista.com
    Updated Apr 3, 2025
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    Statista (2025). Xing brand profile in Germany 2022 [Dataset]. https://www.statista.com/forecasts/1097799/xing-social-media-brand-profile-in-germany
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    Dataset updated
    Apr 3, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 12, 2022 - May 18, 2022
    Area covered
    Germany
    Description

    How high is the brand awareness of Xing in Germany?When it comes to social media users, brand awareness of Xing is at 57% in Germany. The survey was conducted using the concept of aided brand recognition, showing respondents both the brand's logo and the written brand name.How popular is Xing in Germany?In total, 9% of German social media users say they like Xing. However, in actuality, among the 57% of German respondents who know Xing, 16% of people like the brand.What is the usage share of Xing in Germany?All in all, 7% of social media users in Germany use Xing. That means, of the 57% who know the brand, 12% use them.How loyal are the users of Xing?Around 5% of social media users in Germany say they are likely to use Xing again. Set in relation to the 7% usage share of the brand, this means that 71% of their users show loyalty to the brand.What's the buzz around Xing in Germany?In May 2022, about 6% of German social media users had heard about Xing in the media, on social media, or in advertising over the past three months. Of the 57% who know the brand, that's 11%, meaning at the time of the survey there's little buzz around Xing in Germany.If you want to compare brands, do deep-dives by survey items of your choice, filter by total online population or users of a certain brand, or drill down on your very own hand-tailored target groups, our Consumer Insights Brand KPI survey has you covered.

  3. Average usage duration of social network Xing in Germany 2013

    • statista.com
    Updated Oct 31, 2013
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    Statista (2013). Average usage duration of social network Xing in Germany 2013 [Dataset]. https://www.statista.com/statistics/439313/xing-usage-frequency-germany/
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    Dataset updated
    Oct 31, 2013
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jun 2013
    Area covered
    Germany
    Description

    This statistic shows the results of a survey on the usage frequency of the social network Xing in Germany in 2013. During the survey period it was found that a total of 36 percent of Xing active users reported to log onto the platform at least daily.

  4. B

    Business Social Networks Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated May 4, 2025
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    Data Insights Market (2025). Business Social Networks Report [Dataset]. https://www.datainsightsmarket.com/reports/business-social-networks-1442314
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    ppt, doc, pdfAvailable download formats
    Dataset updated
    May 4, 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 global business social networking market is experiencing robust growth, driven by the increasing need for professional networking, collaboration, and recruitment among both corporate users and individuals. The market, estimated at $50 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching an estimated market value exceeding $150 billion by 2033. This expansion is fueled by several key trends including the rise of remote work, which necessitates efficient online collaboration tools, and the increasing adoption of social media for recruitment and talent acquisition. Furthermore, the evolution of business social networks towards more sophisticated features, such as integrated project management tools and enhanced data analytics, enhances their value proposition for businesses of all sizes. While the market faces constraints such as data privacy concerns and the potential for misuse, the overall growth trajectory remains positive. The segment breakdown reveals significant adoption across various applications, with corporate users representing a larger market share compared to individual users. Within the 'types' segment, websites retain a considerable market presence alongside the rapidly growing mobile application segment. Leading players like LinkedIn, XING, and other niche platforms cater to this demand, offering specialized features and functionalities tailored to different industry segments and user needs. The geographical distribution of market share reflects the established tech ecosystems in North America and Europe, although the Asia-Pacific region is expected to witness considerable growth, particularly in countries like China and India, driven by increasing internet penetration and a growing digitally-savvy workforce. The competitive landscape is dynamic, with established players facing challenges from emerging niche platforms catering to specific industry verticals or geographical regions. The success of individual platforms hinges on their ability to differentiate through innovative features, superior user experience, and strong community engagement. Continued innovation in areas such as AI-powered networking tools, enhanced security measures, and seamless integration with other business applications will be crucial in driving further market penetration and sustained growth. The increasing focus on data privacy and regulatory compliance will also be a key determinant of future market development. Strategic partnerships, acquisitions, and the development of advanced analytical capabilities will continue to shape the competitive landscape as platforms strive to optimize their value propositions and expand their user base.

  5. Usage of social media platforms for job search in Germany 2019

    • statista.com
    Updated Jan 13, 2025
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    Statista (2025). Usage of social media platforms for job search in Germany 2019 [Dataset]. https://www.statista.com/statistics/429866/job-search-usage-of-social-media-platforms-germany/
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    Dataset updated
    Jan 13, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2019
    Area covered
    Germany
    Description

    Xing was the leading professional social network used to search for job offers in Germany. Almost 26 percent of Germany job seekers tried their luck there, while nearly 20 percent used LinkedIn. LinkedIn is an international platform, while Xing has German origins and is used in German-speaking countries.

    Xing Xing recorded steadily rising user numbers in recent years, with 19.5 million as of the second quarter of 2020. The platform offers basic and premium accounts, with the latter offering additional functions and settings. Premium membership numbers have also grown in recent years. While still known as Xing and available under that domain name, the platform is owned by New Work. Most recently New Work recorded a net profit of 37.4 million euros.

    Go or stay? Considering the high levels of social network user penetration in Germany, with forecasts predicting higher numbers in the years to come, it is no wonder that users turn to these types of platforms for various reasons, among them finding a job. At the same time, there are also users who have considered leaving Xing and LinkedIn.

  6. c

    Language and Identity among Intensive Users of Social Media (July 2022)

    • datacatalogue.cessda.eu
    • da-ra.de
    Updated Mar 15, 2023
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    Presse- und Informationsamt der Bundesregierung (2023). Language and Identity among Intensive Users of Social Media (July 2022) [Dataset]. http://doi.org/10.4232/1.14058
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    Dataset updated
    Mar 15, 2023
    Dataset provided by
    Berlin
    Authors
    Presse- und Informationsamt der Bundesregierung
    Time period covered
    Jul 21, 2022 - Aug 3, 2022
    Area covered
    Germany
    Measurement technique
    Self-administered questionnaire: Web-based (CAWI)
    Description

    The study on language and identity among intensive users of social media was conducted by Kantar Public on behalf of the Press and Information Office of the Federal Government. During the survey period 21.07.2022 to 03.08.2022, intensive users of social media aged 16 and over in Germany were asked in online interviews (CAWI) about the following topics: attitudes to non-discriminatory language, evaluation of language and discussion culture in social media, opinions on the use of gender-equitable and non-discriminatory language in general and specifically in social media, and experiences with hate speech on the internet. Respondents were selected through quota sampling from an online access panel (gross initial sample followed by screening for social media use).
    1. Quoting and screening questions: frequency of use of social networks or social media offerings; social networks or messenger services used at least once a day (Facebook, Instagram, Twitter, YouTube, LinkedIn, Xing, Tumblr, Reddit, Snapchat, TikTok, Twitch, WhatsApp, Telegram); most frequently used social networks or messenger services (ranking).

    1. Interest in politics; frequency of seeking information on politics (political informativeness).

    2. Language, belonging and language change: self-definition of identity (German language, German nationality, German culture, belonging to my religious community, living in a free and democratic society, job that is fun, friends and/or family I can rely on); definition of German culture (e.g. equal rights for men and women, high value placed on family, freedom, multiculturalism, attachment to home, etc.). ); strength of language change in the last 10 to 20 years; language change all in all to the positive or to the negative; evaluation of language change on the basis of pairs of opposites (more understandable - more incomprehensible, simpler - more complicated, more cultivated - more vulgar, more sophisticated - less sophisticated, more politically correct - more politically incorrect, more varied - more monotonous, more beautiful - less beautiful); Assessment of the quality of political discussions in social networks using pairs of opposites (more respectful - less respectful, more informative - less informative, more emotional - less emotional, more politically correct - less politically correct, more likely to reflect important political debates - hardly reflect important political debates, more interesting - less interesting); frequency of interaction in social networks (liking, sharing and commenting on other posts); frequency of own activities in social networks.

    3. Gender-equitable language: awareness of gender-equitable language; connotation of gender-equitable language; attitude towards gender-equitable language in general; importance of gender-equitable language in different situations (in conversations among friends, in conversations at work/university, in professional letters and e-mails, in speeches of politicians, in official information materials of the federal government and ministries, in letters from municipal offices or authorities, in articles in newspapers and magazines, in news programmes on TV and in social media); Added value for equality if the female form is always used in addition to the male form; acceptance of the generic masculine (women, diverse); Agreement with various statements on the use of gender-equal language (if you want to change something about the discrimination of certain groups, you have to start with the language, it disturbs the flow of reading if you always use the masculine and feminine form or words like ´citizens´, it has always been common to use only the masculine form, this should not be changed, the language has to change when society changes, etc.). ); evaluation of different possibilities with regard to gender-equitable language of the federal government; use of gender-equitable language; use of gender-equitable language also in social networks; feedback from others on the use of gender-equitable language in social networks.

    4. Discrimination through language: language can discriminate against other people; personally experienced discrimination through language; acceptance of the use of discriminatory language in the following cases: Using words that other people, e.g. black people, perceive as discriminatory; using only the masculine and not the masculine and feminine forms in speeches and official letters.

    5. Hate speech: perception of hate comments on social networks; own reactions to hate comments (replied to and criticised offensive or derogatory comments, reported offensive or derogatory comments to platform operators, blocked or unfriended people who posted offensive or derogatory comments, took screenshots and reported offensive or derogatory comments to the police); agreeing with different statements on the evaluation of hate comments (e.g. offensive or derogatory comments on the internet are a big problem, etc.); personal experience...

  7. Unique User von Xing in Deutschland bis Dezember 2019

    • de.statista.com
    Updated Jan 15, 2020
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    Statista (2020). Unique User von Xing in Deutschland bis Dezember 2019 [Dataset]. https://de.statista.com/statistik/daten/studie/418088/umfrage/online-besucherzahlen-von-xing-als-zeitreihe/
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    Dataset updated
    Jan 15, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Deutschland
    Description

    Diese Statistik bildet die Anzahl der Unique User des Online-Karrierenetzwerks Xing im Zeitraum von Mai 2018 bis Dezember 2019 ab. Das digitale Gesamtangebot von Xing hatte laut AGOF im Dezember 2019 rund 8,83 Millionen Unique User des digitalen Gesamtangebots.

  8. S

    survey on current development status of suzhou paper-cutting

    • scidb.cn
    Updated Mar 13, 2025
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    Xing Yue (2025). survey on current development status of suzhou paper-cutting [Dataset]. http://doi.org/10.57760/sciencedb.21991
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 13, 2025
    Dataset provided by
    Science Data Bank
    Authors
    Xing Yue
    License

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

    Area covered
    Suzhou
    Description

    Collected by searching for users online and offline to fill out questionnaires, and uploading data using the Wenjuanxing platform.

  9. c

    German Internet Panel, Wave 54 (July 2021)

    • datacatalogue.cessda.eu
    • da-ra.de
    Updated Mar 15, 2023
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    Blom, Annelies G.; Fikel, Marina; Gonzalez Ocanto, Marisabel; Krieger, Ulrich; Rettig, Tobias; SFB 884 ´Political Economy of Reforms´ (2023). German Internet Panel, Wave 54 (July 2021) [Dataset]. http://doi.org/10.4232/1.13835
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    Dataset updated
    Mar 15, 2023
    Dataset provided by
    Universität Mannheim
    Authors
    Blom, Annelies G.; Fikel, Marina; Gonzalez Ocanto, Marisabel; Krieger, Ulrich; Rettig, Tobias; SFB 884 ´Political Economy of Reforms´
    Time period covered
    Jul 1, 2021 - Jul 31, 2021
    Area covered
    Germany
    Measurement technique
    Self-administered questionnaire: Web-based (CAWI)
    Description

    The German Internet Panel (GIP) is an infrastructure project. The GIP serves to collect data about individual attitudes and preferences which are relevant for political and economic decision-making processes.
    The questionnaire contains numerous experimental variations in the survey instruments. For more information, see the study documentation.

    Topics: Vignette experiment on the fair decision on the granting of bank loans or financial products to private individuals and acceptance of the type of decision; Vignette experiment on the fair decision on the early release of prisoners and acceptance of the type of decision; Vignette experiment on the fair decision on the hiring of new employees or the dismissal of employees in the probationary period and acceptance of the type of decision; Vignette experiment on the fair decision of the reduction of unemployment benefits or the awarding of support measures of job seekers and acceptance of the type of decision; ownership of smartphone, mobile phone, desktop computer/PC or laptop, tablet, eBook reader or none of the above; account with user name and password at selected providers (Google, Facebook, Twitter, Linkedin, Xing, at none of these providers); awareness of the following terms: Artificial intelligence, computer algorithms, machine learning, recommendation services, targeted/personalised advertising, none of these terms; knowledge of the purposes for which artificial intelligence technologies are used (advertising on social networks, curation of news on social networks, recommendations in online shops, recommendations on video streaming sites, ranking of results in search engines, responses from intelligent assistants, suggestions about potential partners on dating platforms, content of Wikipedia articles, website of a local restaurant, for other purposes, none of these purposes); concern about privacy in general; agreement with various statements about sharing data (I don´t mind sharing personal information because everyone does it nowadays, You can´t live in our modern world without sharing personal information, If you share personal information, you don´t know who sees it all, I don´t mind sharing my personal information if it gets me products and services I´d like); feeling sufficient control over personal information; type of internet activities in the last 3 months (e.g. searched for address, searched for information about products and services, etc.); trust in institutions (banks, private companies, judiciary, employment agencies); conjoint experiment to decide between two hypothetical parties with different attributes on the ideological position of each party and the parties´ positions on the issues of free market economy (trade between Germany and EU countries), trade barriers (trade between the EU and non-EU countries), freedom of movement (access of workers from EU countries to Germany) and immigration (access of workers from non-EU countries to the EU); experiment on the position of concrete parties on the topics of free market economy, trade barriers, freedom of movement, immigration and European unification; participation in the election to the European Parliament; actual or hypothetical voting decision in the hypothetical voting decision in the election to the European Parliament; opinion on European unification; experiment on trust in the results of four different surveys on the topic of European unification; interest in the topic of European unification; clear opinion on whether the process of European unification should be further advanced or not.

    Occupational situation: employment status or (professional) activities; professional status of paid activity (employed, self-employed or helping family member); short-time work or leave with/without continued payment of wages of employed persons; amount of work short-time work of employed persons; amount of work in self-employed activity (more, about the same or less than before the start of the Corona pandemic, not working at all in my self-employed activity at the moment); Place of work of main activity (exclusively on site with employer or client, mainly on site with employer, occasionally in home office, about equally on site with employer and in home office, mainly in home office, occasionally with employer or client, exclusively in home office); probability of own unemployment in the next 12 months.

    Impact of measures to contain the Corona pandemic in Germany (economic damage greater than societal benefit vs. societal benefit greater than economic damage); respondent´s monthly net income (grouped); household net income (grouped); satisfaction with selected areas of life (work and family life).

    Demography: sex; age (year of birth, categorised); highest educational degree; highest professional qualification; marital status; household size; employment status; German citizenship; frequency of private internet usage; federal state.

    Additionally coded were: Respondent ID; household ID,...

  10. Gewinn von New Work weltweit bis zum 2. Quartal 2024

    • de.statista.com
    Updated May 16, 2025
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    Statista Research Department (2025). Gewinn von New Work weltweit bis zum 2. Quartal 2024 [Dataset]. https://de.statista.com/themen/746/xing/
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    Dataset updated
    May 16, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Description

    Die New Work SE (ehemals XING SE), welche unter anderem die Muttergesellschaft von XING und kununu ist, hat für das zweite Quartal 2024 einen Gewinn in Höhe von rund 9,3 Millionen Euro ausgewiesen. Im Vorjahresquartal belief sich das Periodenergebnis noch auf einen Überschuss von zehn Millionen Euro. Das Hauptgeschäft der New Work SE - der Vertrieb von HR-Lösungen - leidet unter zögerlichen Investitionen von Unternehmen in die Gewinnung von Fachkräften.

  11. c

    German Internet Panel, Wave 64 (March 2023)

    • datacatalogue.cessda.eu
    Updated Oct 19, 2024
    + more versions
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    German Internet Panel (2024). German Internet Panel, Wave 64 (March 2023) [Dataset]. http://doi.org/10.4232/1.14368
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    Dataset updated
    Oct 19, 2024
    Dataset provided by
    Universität Mannheim
    Authors
    German Internet Panel
    Time period covered
    Mar 1, 2023 - Mar 31, 2023
    Area covered
    Germany
    Measurement technique
    Self-administered questionnaire: Web-based (CAWI)
    Description

    The German Internet Panel (GIP) is a long-term study at the University of Mannheim. The GIP examines individual attitudes and preferences that are relevant in political and economic decision-making processes. To this end, more than 3,500 people throughout Germany have been regularly surveyed online every two months since 2012 on a wide range of topics. The GIP is based on a random sample of the general population in Germany between the ages of 16 and 75. The study started in 2012 and was supplemented by new participants in 2014 and 2018. The panel participants were recruited offline. The GIP questionnaires cover a variety of topics that deal with current events.
    The questionnaire contains numerous experimental variations in the survey instruments. Further information can be found in the study documentation.

    Data protection: Concern about privacy in general; agreement to statements about data sharing: I don´t mind sharing personal information, because that´s what everybody does nowadays; you can´t live in our modern world without disclosing personal information; when you share personal information, you don´t know who sees it; sharing personal information doesn´t bother me if I get products or services I want in return; feeling of sufficient control over personal information; type of internet activities in the last three months (searching for addresses, for information about products and services, reading news, looking for a job or applying online, information about health or on public institution websites, making video calls, using text messaging services, using social media, online banking, using a professional network, buying train or plane tickets, filing a tax return, shopping, reading and/or writing emails, playing games, listening to music or watching videos).

    Ownership and use of technical device: Ownership of mobile phone, computer or laptop and tablet computer; mobile phone is a smartphone; smartphone type; devices used to access the internet; use of voice control on the smartphone; use of voice control on other devices; use of social media applications (Facebook, Instagram, LinkedIn, Twitter, Xing, TikTok, Youtube) on the internet or as a mobile app; frequency of using social networks; daily time of use; kind of use (viewing images or videos or reading posts, reading online discussions, reading user comments and ratings, commenting on posts by others, responding to posts by others, sharing posts, posting self-written posts).

    Technology: Attitude towards the use of robots with certain characteristics (human-like appearance, control by voice, camera, storage of various data generated during work) in different care situations (home vs. inpatient environment, different health impairments of the interviewee, control of the robot by care staff or independent action of the robot); curiosity regarding new technical developments; feeling of being overwhelmed when dealing with technical innovations; ownership of the following devices: vacuum robots, digital voice assistants, smart home devices.

    Demography: sex; age (year of birth, categorized); highest level of education; highest level of professional education; marital status; household size; employment status; German citizenship; frequency of private Internet use; federal state.

    Additionally coded were: respondent ID, GIP; household ID, GIP; person ID (within household); year of recruitment (2012, 2014, 2018); interview date; current online status; assignment to experimental groups.

    Questionnaire evaluation (interesting, varied, relevant, long, difficult, too personal); overall assessment of the survey; respondent made further comments on the questionnaire.

  12. Anzahl der monatlichen Visits von xing.com bis April 2025

    • de.statista.com
    Updated Sep 15, 2019
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    Statista (2019). Anzahl der monatlichen Visits von xing.com bis April 2025 [Dataset]. https://de.statista.com/statistik/daten/studie/1021448/umfrage/anzahl-der-visits-pro-monat-von-xingcom/
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    Dataset updated
    Sep 15, 2019
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Weltweit
    Description

    Im April 2025 belief sich die Anzahl der Visits des Karrierenetzwerks xing.com auf rund **** Millionen weltweit. Im Vergleich zum Vormonat ist die Anzahl der Visits von xing.com um rund **** Prozent gesunken. Insgesamt ist bei der Anzahl der Visits von xing.com seit mehreren Jahren ein Abwärtstrend erkennbar.

  13. Umsatz von New Work weltweit bis zum 2. Quartal 2024

    • de.statista.com
    Updated May 16, 2025
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    Statista Research Department (2025). Umsatz von New Work weltweit bis zum 2. Quartal 2024 [Dataset]. https://de.statista.com/themen/746/xing/
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    Dataset updated
    May 16, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Description

    Die New Work SE (vormals XING SE), welche das Karrierenetzwerk Xing betreibt, konnte im zweiten Quartal 2024 rund 65,5 Millionen Euro erwirtschaften. Dies entspricht einem Umsatzrückgang von rund zehn Millionen Euro im Vergleich zum Vorjahresquartal. Der Geschäftsbereich B2B Marketing Solutions & EventsIm Geschäftsjahr 2023 belief sich Umsatz der New Work SE (ehemals XING SE) auf rund 305,6 Millionen Euro. Im Geschäftsbereich B2B Marketing Solutions (zuvor: B2B-E-Recruiting) wurden rund 218,6 Millionen Euro erwirtschaftet. Damit gilt es als größtes Umsatzsegment des Unternehmens. Im Bereich B2C erzielte die New Work SE einen Umsatzerlös von rund 73,4 Millionen Euro. Xing-Plattform-MitgliederDie Anzahl der Mitglieder der Xing-Plattform in der DACH-Region ist kontinuierlich gestiegen und belief sich im Jahr 2023 auf rund 22,1 Millionen. Zehn Jahre zuvor lag die Zahl der Xing-Plattform-Mitglieder noch bei rund sieben Millionen.

  14. Mitglieder der Xing-Plattform in der DACH-Region bis zum 2. Quartal 2024

    • de.statista.com
    • ai-chatbox.pro
    Updated Aug 10, 2024
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    Statista (2024). Mitglieder der Xing-Plattform in der DACH-Region bis zum 2. Quartal 2024 [Dataset]. https://de.statista.com/statistik/daten/studie/481399/umfrage/anzahl-der-xing-nutzer-in-der-dach-region/
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    Dataset updated
    Aug 10, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Deutschland, Österreich, Schweiz
    Description

    Die Anzahl der Mitglieder der Xing-Plattform in der DACH-Region steigt weiter. Im zweiten Quartal 2024 hatte das Online-Karrierenetzwerk 22,5 Millionen Mitglieder in der DACH-Region. Im Vergleich zum Vorjahresquartal entspricht dies einem Zuwachs um rund 0,6 Millionen Mitglieder. Das Unternehmen hinter Xing Xing ist eine Social-Media-Plattform für geschäftliche Kontakte. New Work, das Unternehmen hinter der Plattform, erwirtschaftete im Geschäftsjahr 2023 einen Umsatz in Höhe von rund 305,6 Millionen Euro und konnte einen Gewinn in Höhe von 36,9 Millionen Euro ausweisen. Nach eigenen Angaben waren bei dem Unternehmen im Jahr 2023 insgesamt 1.542 Mitarbeiter beschäftigt. Der Konkurrent LinkedIn Auch LinkedIn ist eine Plattform, welches in erster Linie zur Pflege und zum Knüpfen beruflicher Kontakte dient. Das Karrierenetzwerk wurde im Jahr 2016 von Microsoft übernommen und konnte im August 2024 rund 24 Millionen Mitglieder im DACH-Raum ausweisen. Die meisten LinkedIn-Mitglieder (rund 225 Millionen) waren in den USA ansässig.

  15. Umsatz von New Work nach Segmenten weltweit bis zum 2. Quartal 2024

    • de.statista.com
    Updated May 16, 2025
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    Statista Research Department (2025). Umsatz von New Work nach Segmenten weltweit bis zum 2. Quartal 2024 [Dataset]. https://de.statista.com/themen/746/xing/
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    Dataset updated
    May 16, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Description

    Auch im zweiten Quartal 2024 erzielte die New Work SE im Segment HR Solutions & Talent Access (zuvor: B2B E-Recruiting) mit rund 48,2 Millionen Euro die höchsten Umsätze. Im Vergleich zum Vorjahreshalbjahr entspricht dies jedoch einem Rückgang von rund acht Prozent. Im Segment B2C wies das Unternehmen Umsätze in Höhe von 15,2 Millionen Euro aus.

  16. Umfrage zur Nutzung von Xing nach Altersgruppen in Deutschland 2024

    • de.statista.com
    Updated Dec 19, 2024
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    Statista (2024). Umfrage zur Nutzung von Xing nach Altersgruppen in Deutschland 2024 [Dataset]. https://de.statista.com/statistik/daten/studie/812598/umfrage/nutzung-von-xing-nach-altersgruppen-in-deutschland/
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    Dataset updated
    Dec 19, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Deutschland
    Description

    Nach einer Umfrage unter Internetnutzern in Deutschland nutzen 38 Prozent der 30- bis 39-jährigen Befragten die Networking-Plattform Xing und stellen damit die größte Nutzergruppe der Plattform dar. Insgesamt wurde Xing im Jahr 2024 von rund 21 Prozent der deutschen Internetnutzer verwendet.

  17. Visits pro Monat auf Xing bis September 2019

    • de.statista.com
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    Statista, Visits pro Monat auf Xing bis September 2019 [Dataset]. https://de.statista.com/statistik/daten/studie/74150/umfrage/monatliche-besucherzahlen-auf-xing/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Weltweit
    Description

    Diese Statistik zeigt die Anzahl der Visits von Xing von Mai 2018 bis September 2019. Laut der IVW hatte Xing im September 2019 rund 58,55 Millionen Seitenbesuche. Die Zahl der Unique User des digitalen Gesamtangebotes von Xing belief sich im September 2019 auf rund 9,1 Millionen.

  18. Most effective social networks and online sources for active sourcing in...

    • statista.com
    Updated Nov 4, 2013
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    Statista (2013). Most effective social networks and online sources for active sourcing in Germany 2013 [Dataset]. https://www.statista.com/statistics/458092/active-sourcing-social-networks-and-online-sources-germany/
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    Dataset updated
    Nov 4, 2013
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Sep 2013 - Oct 2013
    Area covered
    Germany
    Description

    This statistic shows the results of a survey on the most effective social networks and online sources for active sourcing in Germany in 2013. During the survey period it was found that 70.6 percent of German recruiters stated that Xing provided the best recruiting results for active sourcing.

  19. Anzahl der registrierten Mitglieder von LinkedIn nach Ländern 2025

    • de.statista.com
    Updated May 6, 2025
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    Statista (2025). Anzahl der registrierten Mitglieder von LinkedIn nach Ländern 2025 [Dataset]. https://de.statista.com/statistik/daten/studie/194634/umfrage/anzahl-der-nutzer-von-linkedin-nach-region/
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    Dataset updated
    May 6, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Weltweit
    Description

    Im Mai 2025 wurden die meisten LinkedIn-Mitglieder in den USA gezählt. Dort belief sich die Anzahl der registrierten Mitglieder auf über 239 Millionen. Mit großem Abstand folgten Indien und Brasilien mit mehr als 155 bzw. 86 Millionen registrierten Mitgliedern. Die Zahl der LinkedIn-Mitglieder in der DACH-Region wurde mit 27 Millionen beziffert. Informationen zu LinkedIn LinkedIn ist ein soziales Netzwerk zur Pflege von beruflichen Kontakten, welches 2003 gegründet wurde und seit Dezember 2016 zu Microsoft gehört. Nutzer haben die Wahl zwischen einem kostenlosen Basisaccount und einem kostenpflichtigen Premiumaccount, welcher erweiterte Funktionen anbietet. Xing Der größte Konkurrent von LinkedIn im DACH-Raum ist das Karrierenetzwerk Xing. Die Anzahl der Mitglieder der Xing-Plattform im DACH-Raum belief sich im Jahr 2023 auf rund 22,1 Millionen. Die New Work SE (vormals XING SE) - das Unternehmen hinter dem Karrierenetzwerk Xing - setzte im Jahr 2023 rund 305,6 Millionen Euro um und konnte einen Gewinn in Höhe von 36,9 Millionen Euro ausweisen.

  20. LinkedIn-Nutzerzahlen für Österreich bis Mai 2025

    • de.statista.com
    Updated Jun 4, 2025
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    Statista (2025). LinkedIn-Nutzerzahlen für Österreich bis Mai 2025 [Dataset]. https://de.statista.com/statistik/daten/studie/512552/umfrage/linkedin-nutzerzahlen-in-oesterreich-als-zeitreihe/
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    Dataset updated
    Jun 4, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Österreich
    Description

    Die Anzahl der LinkedIn-Nutzer in Österreich lag im Mai 2025 bei rund 520.000 Usern. Zum Vergleich: in der Schweiz, die in etwa so viele Einwohner zählt wie Österreich, nutzten zeitgleich über 1,19 Millionen Menschen die Businessplattform. Unternehmen auf LinkedIn LinkedIn ist eine Social-Media-Plattform zur Pflege von geschäftlichen Kontakten. Dadurch sind nicht nur private Nutzer, sondern auch viele Unternehmen dort vertreten. Laut einer Umfrage vom Januar 2025 nutzten rund 69 Prozent der befragten Unternehmen aus aller Welt das Business-Netzwerk. Neben Facebook und Instagram gehört es zu den wichtigsten Sozialen Medien für das Marketing. Vor allem B2B-Unternehmen („Business to business“) scheinen die Plattform für Marketing-Zwecke vor allen anderen Plattformen zu bevorzugen. LinkedIn vs. Xing Der größte Konkurrent für LinkedIn ist in der DACH-Region das Karriere-Netzwerk XING. Dieses verzeichnete zuletzt in Deutschland, Österreich und der Schweiz rund 22,5 Millionen Nutzer. LinkedIn kam in derselben Region auf insgesamt 27 Millionen Mitglieder. Während sich XING auf den deutschsprachigen Raum beschränkt, ist LinkedIn international ausgerichtet: Die weltweit größte Business-Plattform wird laut eigener Aussage in mehr als 200 Ländern verwendet, am meisten registrierte Mitglieder hat LinkedIn in den USA, Indien und Brasilien.

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Statista (2025). Xing: number of D-A-CH users 2013-2024 [Dataset]. https://www.statista.com/statistics/360796/xing-dach-members/
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Xing: number of D-A-CH users 2013-2024

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Dataset updated
Jan 13, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
Austria, Germany, Switzerland
Description

Xing user numbers in German-speaking countries (Germany, Austria and Switzerland, shortened to D-A-CH in German) have been rising year after year. Most recently, to around 22.5 million users, which corresponds to an increase of around 0.6 million members compared to the same quarter of the previous year. Xing is the leading German-language professional social network. Searching for talent Nowadays, recruiting new employees is primarily conducted through online job ads and applications. Online recruiting platforms remain the most popular way to gain reach for job postings and attract the best-suited candidates in Germany, Austria, and Switzerland. However, Xing is just one of many recruitment platforms available in the German-speaking market. Loosing popularity Xing has based its headquarters in Hamburg and has since expanded to include offices in other cities. Although its user base has grown steadily, the platform has lost ground in relevance compared to platforms like YouTube or TikTok, particularly for brands using online platforms and social media for advertising. Only about 5% of brands actively use Xing for this purpose. Overall, Xing’s popularity seems to be declining; in 2022, although around 57% of German respondents were familiar with Xing, only about 7% reported using it regularly

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