100+ datasets found
  1. T

    Online Business Statistics By Content Marketing ,Blogging, Country And Facts...

    • technotrenz.com
    Updated Jul 4, 2025
    + more versions
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    Techno Trenz (2025). Online Business Statistics By Content Marketing ,Blogging, Country And Facts (2025) [Dataset]. https://technotrenz.com/stats/online-business-statistics/
    Explore at:
    Dataset updated
    Jul 4, 2025
    Dataset authored and provided by
    Techno Trenz
    License

    https://technotrenz.com/privacy-policy/https://technotrenz.com/privacy-policy/

    Time period covered
    2022 - 2032
    Area covered
    Global
    Description

    Introduction

    Online Business Statistics: Today, shopping online is the most popular choice. eCommerce has made it much easier to buy everything from clothes and beauty products to home items and groceries. With just a few clicks, you can place an order and have it delivered right to your door, all without leaving your home. Many companies have gone digital, with some running entirely online.

    This shift has led to a huge increase in online shopping. Nowadays, almost everyone buys something online at least once a day. To give you a better understanding of online shopping, we’ve gathered some interesting Online Business Statistics for 2025.

  2. Frequency of reading local businesses online reviews in the U.S. 2023

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). Frequency of reading local businesses online reviews in the U.S. 2023 [Dataset]. https://www.statista.com/statistics/315711/local-online-business-review-usage/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2023
    Area covered
    United States
    Description

    According to a survey conducted in January 2023, ** percent of consumers in the United States reported to always read online reviews of local businesses. Over ** percent said that they regularly read online reviews of local businesses and just two percent said that they never read online reviews.

  3. Frequency of online local business search in the U.S. 2023

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Frequency of online local business search in the U.S. 2023 [Dataset]. https://www.statista.com/statistics/315709/online-local-business-search-frequency-us-canada/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2023
    Area covered
    United States
    Description

    According to a survey conducted in the United States in January 2023, within the last year, ** percent of consumers used the internet to find a local business on a daily basis. Overall, ** percent of respondents stated that they used the internet for this purpose multiple times every week. Additionally, just two percent of those surveyed said that they didn't search for local businesses online.

  4. S

    Small Business Statistics By Ownership, Loans, Technology And Facts (2025)

    • sci-tech-today.com
    Updated Jun 26, 2025
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    Sci-Tech Today (2025). Small Business Statistics By Ownership, Loans, Technology And Facts (2025) [Dataset]. https://www.sci-tech-today.com/stats/small-business-statistics/
    Explore at:
    Dataset updated
    Jun 26, 2025
    Dataset authored and provided by
    Sci-Tech Today
    License

    https://www.sci-tech-today.com/privacy-policyhttps://www.sci-tech-today.com/privacy-policy

    Time period covered
    2022 - 2032
    Area covered
    Global
    Description

    Introduction

    Small Business Statistics: To balance out every country's economy, small businesses are termed the backbone. Small businesses are types of corporations, partnerships, or sole proprietorships that are independently owned companies with fewer employees and lower revenue than large companies. Many small businesses are now utilising the internet and various digital tools to connect with customers, and many of them generate income by selling online.

    This article includes several statistical analyses from different sources that will guide you in understanding the importance of small businesses' effectiveness in recent years.

  5. Structural business statistics by size class and economic activity (ISIC...

    • db.nomics.world
    Updated Jun 5, 2025
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    DBnomics (2025). Structural business statistics by size class and economic activity (ISIC Rev. 4) [Dataset]. https://db.nomics.world/OECD/DSD_SDBSBSC_ISIC4@DF_SDBS_ISIC4
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    Dataset updated
    Jun 5, 2025
    Authors
    DBnomics
    Description

    OECD statistics contact: stat.contact@oecd.org

    The OECD Secretariat collects a wide range of statistics on businesses and business activity. The Structural Business Statistics by size class dataset is part of the Structural and Demographic Business Statistics (SDBS) database featuring the harmonised data collection of the OECD Statistics and Data Directorate relating to a number of key variables, such as value added, operating surplus, employment, and the number of business units.

    Data are broken down to class (4-digit) level of International Standard of Industrial Classification (ISIC Revision 4), and by enterprise size class based on the number of persons employed.

    Data cover OECD member and partner countries, non-OECD countries that are members of the European Statistical System who provide data to Eurostat, as well as countries participating in OECD Regional initiatives.

  6. Nonemployer Statistics

    • icpsr.umich.edu
    Updated Jun 26, 2015
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    United States. Bureau of the Census (2015). Nonemployer Statistics [Dataset]. https://www.icpsr.umich.edu/web/NADAC/studies/36218
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    Dataset updated
    Jun 26, 2015
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    United States. Bureau of the Census
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/36218/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/36218/terms

    Area covered
    United States
    Description

    Nonemployer Statistics is an annual series that provides statistics on U.S. businesses with no paid employees or payroll, are subject to federal income taxes, and have receipts of $1,000 or more ($1 or more for the Construction sector). This program is authorized by the United States Code, Titles 13 and 26. Also, the collection provides data for approximately 450 North American Industry Classification System (NAICS) industries at the national, state, county, metropolitan statistical area, and combined statistical area geography levels. The majority of NAICS industries are included with some exceptions as follows: crop and animal production; investment funds, trusts, and other financial vehicles; management of companies and enterprises; and public administration. Data are also presented by Legal Form of Organization (LFO) (U.S. and state only) as filed with the Internal Revenue Service (IRS). Most nonemployers are self-employed individuals operating unincorporated businesses (known as sole proprietorships), which may or may not be the owner's principal source of income. Nonemployers Statistics features nonemployers in several arts-related industries and occupations, including the following: Arts, entertainment, and recreation (NAICS Code 71) Performing arts companies Spectator sports Promoters of performing arts, sports, and similar events Independent artists, writers, and performers Museums, historical sites, and similar institutions Amusement parks and arcades Professional, scientific, and technical services (NAICS Code 54) Architectural services Landscape architectural services Photographic services Retail trade (NAICS Code 44-45) Sporting goods, hobby, and musical instrument stores Sewing, needlework, and piece goods stores Book stores Art dealers Nonemployer Statistics data originate from statistical information obtained through business income tax records that the Internal Revenue Service (IRS) provides to the Census Bureau. The data are processed through various automated and analytical review to eliminate employers from the tabulation, correct and complete data items, remove anomalies, and validate geography coding and industry classification. Prior to publication, the noise infusion method is applied to protect individual businesses from disclosure. Noise infusion was first applied to Nonemployer Statistics in 2005. Prior to 2005, data were suppressed using the complementary cell suppression method. For more information on the coverage and methods used in Nonemployer Statistics, refer to NES Methodology. The majority of all business establishments in the United States are nonemployers, yet these firms average less than 4 percent of all sales and receipts nationally. Due to their small economic impact, these firms are excluded from most other Census Bureau business statistics (the primary exception being the Survey of Business Owners). The Nonemployers Statistics series is the primary resource available to study the scope and activities of nonemployers at a detailed geographic level. For complementary statistics on the firms that do have paid employees, refer to the County Business Patterns. Additional sources of data on small businesses include the Economic Census, and the Statistics of U.S. Businesses. The annual Nonemployer Statistics data are available approximately 18 months after each reference year. Data for years since 2002 are published via comma-delimited format (csv) for spreadsheet or database use, and in the American FactFinder (AFF). For help accessing the data, please refer to the Data User Guide.

  7. f

    Data from: The Impact of Homework Deadline Times on College Student...

    • tandf.figshare.com
    csv
    Updated Jun 30, 2025
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    Charlie Smith (2025). The Impact of Homework Deadline Times on College Student Performance and Stress: A Quasi-Experiment in Business Statistics [Dataset]. http://doi.org/10.6084/m9.figshare.28027731.v1
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jun 30, 2025
    Dataset provided by
    Taylor & Francis
    Authors
    Charlie Smith
    License

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

    Description

    The Impact of Homework Deadline Times on College Student Performance and Stress: A Quasi-Experiment in Business Statistics

  8. E

    Social Media For Business Statistics By Business And Facts (2025)

    • electroiq.com
    Updated Jul 2, 2025
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    Electro IQ (2025). Social Media For Business Statistics By Business And Facts (2025) [Dataset]. https://electroiq.com/stats/social-media-for-business-statistics/
    Explore at:
    Dataset updated
    Jul 2, 2025
    Dataset authored and provided by
    Electro IQ
    License

    https://electroiq.com/privacy-policyhttps://electroiq.com/privacy-policy

    Time period covered
    2022 - 2032
    Area covered
    Global
    Description

    Introduction

    Social Media for Business Statistics: In recent years, social media has become a powerful tool for global businesses. Whether it’s a small local business or a large brand, social media platforms help gain customers, build trust, and grow your online presence. Almost every Social media platform, such as Facebook, Instagram, WhatsApp, and LinkedIn, has billions of active users. Thus, businesses have an unparalleled opportunity to promote their products, share updates, and engage with their audience in real-time.

    This article examines several statistical analyses that demonstrate how these social platforms are enabling businesses to succeed and remain competitive in a rapidly evolving digital market.

  9. Company Datasets for Business Profiling

    • datarade.ai
    Updated Feb 23, 2017
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    Oxylabs (2017). Company Datasets for Business Profiling [Dataset]. https://datarade.ai/data-products/company-datasets-for-business-profiling-oxylabs
    Explore at:
    .json, .xml, .csv, .xlsAvailable download formats
    Dataset updated
    Feb 23, 2017
    Dataset authored and provided by
    Oxylabs
    Area covered
    Bangladesh, Nepal, British Indian Ocean Territory, Canada, Taiwan, Tunisia, Andorra, Moldova (Republic of), Northern Mariana Islands, Isle of Man
    Description

    Company Datasets for valuable business insights!

    Discover new business prospects, identify investment opportunities, track competitor performance, and streamline your sales efforts with comprehensive Company Datasets.

    These datasets are sourced from top industry providers, ensuring you have access to high-quality information:

    • Owler: Gain valuable business insights and competitive intelligence. -AngelList: Receive fresh startup data transformed into actionable insights. -CrunchBase: Access clean, parsed, and ready-to-use business data from private and public companies. -Craft.co: Make data-informed business decisions with Craft.co's company datasets. -Product Hunt: Harness the Product Hunt dataset, a leader in curating the best new products.

    We provide fresh and ready-to-use company data, eliminating the need for complex scraping and parsing. Our data includes crucial details such as:

    • Company name;
    • Size;
    • Founding date;
    • Location;
    • Industry;
    • Revenue;
    • Employee count;
    • Competitors.

    You can choose your preferred data delivery method, including various storage options, delivery frequency, and input/output formats.

    Receive datasets in CSV, JSON, and other formats, with storage options like AWS S3 and Google Cloud Storage. Opt for one-time, monthly, quarterly, or bi-annual data delivery.

    With Oxylabs Datasets, you can count on:

    • Fresh and accurate data collected and parsed by our expert web scraping team.
    • Time and resource savings, allowing you to focus on data analysis and achieving your business goals.
    • A customized approach tailored to your specific business needs.
    • Legal compliance in line with GDPR and CCPA standards, thanks to our membership in the Ethical Web Data Collection Initiative.

    Pricing Options:

    Standard Datasets: choose from various ready-to-use datasets with standardized data schemas, priced from $1,000/month.

    Custom Datasets: Tailor datasets from any public web domain to your unique business needs. Contact our sales team for custom pricing.

    Experience a seamless journey with Oxylabs:

    • Understanding your data needs: We work closely to understand your business nature and daily operations, defining your unique data requirements.
    • Developing a customized solution: Our experts create a custom framework to extract public data using our in-house web scraping infrastructure.
    • Delivering data sample: We provide a sample for your feedback on data quality and the entire delivery process.
    • Continuous data delivery: We continuously collect public data and deliver custom datasets per the agreed frequency.

    Unlock the power of data with Oxylabs' Company Datasets and supercharge your business insights today!

  10. Business meetings with online streaming worldwide 2024

    • statista.com
    Updated Jun 25, 2025
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    Statista (2025). Business meetings with online streaming worldwide 2024 [Dataset]. https://www.statista.com/statistics/1345539/business-meetings-online-streaming-worldwide/
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    Dataset updated
    Jun 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Aug 2024 - Sep 2024
    Area covered
    Worldwide
    Description

    According to a survey conducted in August and September 2024 worldwide, nearly **** of respondents working in the meetings industry reported that their events were back to a fully in-person format, with no online version of available. In contrast, close to a ******* of respondents said that their in-person event did have an asynchronous streaming.

  11. Share of online business banking conducted by SMBs in the U.S. in 2012

    • statista.com
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    Statista, Share of online business banking conducted by SMBs in the U.S. in 2012 [Dataset]. https://www.statista.com/statistics/245417/share-of-online-business-banking-conducted-by-smbs-in-the-us/
    Explore at:
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 2012
    Area covered
    United States
    Description

    This statistic gives information on the amount of business banking that small and medium-sized businesses in the United States conduct online. In 2012, ** percent of all business transactions were conducted online.

  12. b

    Online Courses App Revenue and Usage Statistics (2025)

    • businessofapps.com
    Updated Jun 14, 2023
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    Business of Apps (2023). Online Courses App Revenue and Usage Statistics (2025) [Dataset]. https://www.businessofapps.com/data/online-courses-app-market/
    Explore at:
    Dataset updated
    Jun 14, 2023
    Dataset authored and provided by
    Business of Apps
    License

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

    Description

    Like other sub-sectors in the education app market, skills and online training courses experienced significant growth at the beginning of the coronavirus pandemic, as many people lost jobs or were...

  13. Sales and jobs in small businesses

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Nov 7, 2024
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    Office for National Statistics (2024). Sales and jobs in small businesses [Dataset]. https://www.ons.gov.uk/economy/economicoutputandproductivity/output/datasets/salesandjobsinsmallbusinesses
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Nov 7, 2024
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    Monthly dataset showing change in sales and jobs recorded by Xero, an online accounting software platform. This dataset is updated on a quarterly basis. These are official statistics in development. Source: Xero.

  14. App Monthly Spend by Region

    • aftership.com
    Updated Jan 16, 2024
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    AfterShip (2024). App Monthly Spend by Region [Dataset]. https://www.aftership.com/ecommerce/statistics/regions
    Explore at:
    Dataset updated
    Jan 16, 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

    Online store owners across different regions have varying preferences when investing in apps. Our data reveals that United States is the leading destination for online businesses using apps, spending an impressive $1.58B per month. Online business owners in United Kingdom and Canada are also passionate about leveraging apps, with monthly app expenditure of $267.55M and $204.96M respectively. Additionally, Australia and Germany contribute significantly as well, representing a combined 8.41% of global monthly app spending.

  15. Online Sales Data Power BI Dashboard

    • kaggle.com
    Updated Aug 20, 2024
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    manjeshkumar05 (2024). Online Sales Data Power BI Dashboard [Dataset]. https://www.kaggle.com/datasets/manjeshkumar05/online-sales-data-power-bi-dashboard
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 20, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    manjeshkumar05
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Exploring Online Sales Data with Power BI !!

    Another productive day diving into online sales dataset! Here’s a roundup of the insights I uncovered today:

    Revenue by Category: Analyzed revenue distribution across different product categories to identify high-performing sectors.

    Revenue by Sub-Category: Drilled down into sub-categories for a more granular view of revenue streams.

    Revenue by Payment Mode: Examined revenue patterns based on payment methods to understand customer preferences.

    Revenue by State: Mapped out revenue by state to pinpoint geographical strengths and opportunities.

    Profit by Category: Evaluated profitability across product categories to assess which categories yield the highest profit margins.

    Profit by Sub-Category: Explored profit levels at a sub-category level to identify the most profitable segments.

    Profit by Payment Mode: Analyzed profit distribution across different payment methods.

    Top 5 States by Revenue and Profit: Highlighted the top 5 states driving the most revenue and profit, offering insights into regional performance.

    Sales Map by State: Visualized sales data on a map to provide a geographical perspective on sales distribution.

    Total Quantity, Revenue, and Profit: Aggregated data to give an overview of total quantities sold, overall revenue, and total profit.

    Filter by Category: Added a filter functionality to focus on specific categories and refine data analysis.

  16. UK Business Data Survey 2022

    • gov.uk
    Updated Dec 4, 2023
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    Department for Science, Innovation and Technology (2023). UK Business Data Survey 2022 [Dataset]. https://www.gov.uk/government/statistics/uk-business-data-survey-2022
    Explore at:
    Dataset updated
    Dec 4, 2023
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Science, Innovation and Technology
    Area covered
    United Kingdom
    Description

    The UK Business Data Survey is a telephone and online based quantitative and qualitative study of UK businesses. It seeks to understand the role of digital data in UK businesses, international transfers of data and activities undertaken for data protection compliance.

    This is the second time this survey has been carried out. The quantitative survey took place from November 2021 to February 2022 and the qualitative interviews were undertaken in February 2022. A number of questions asked of businesses were new to the 2022 survey. Comparisons are made to 2021 results where possible.

    Further information

    The responsible analyst for this release is Berkeley J Zych. For any queries please contact ukbusinessdatasurvey@dsit.gov.uk

    For any queries relating to official statistics please contact statistics@dsit.gov.uk

    For media enquiries only please contact the DSIT press office:

    Email: press@dsit.gov.uk

    Phone: 020 7215 3000

    The press office phone number and inbox is monitored at all hours.

  17. f

    Business Software Alliance | Web Hosting & Domain Names | Technology Data

    • datastore.forage.ai
    Updated Nov 20, 2024
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    (2024). Business Software Alliance | Web Hosting & Domain Names | Technology Data [Dataset]. https://datastore.forage.ai/searchresults/?resource_keyword=web
    Explore at:
    Dataset updated
    Nov 20, 2024
    Description

    Business Software Alliance is a trade association that represents the world's leading software companies, including Autodesk, IBM, and Symantec. The organization's members are committed to promoting the use of legitimate software and ensuring the integrity of their intellectual property.

    As a result, the data housed on BSA's website is rich in information related to the software industry, including software licensing, anti-piracy efforts, and digital piracy statistics. The data includes information on software usage, software development, and the impact of piracy on the technology industry. With its focus on promoting legitimate software use, the data on BSA's website provides valuable insights into the global software industry.

  18. d

    Online Business Filing Transactions

    • catalog.data.gov
    • data.ok.gov
    • +1more
    Updated Nov 22, 2024
    + more versions
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    OKStateStat (2024). Online Business Filing Transactions [Dataset]. https://catalog.data.gov/dataset/online-business-filing-transactions
    Explore at:
    Dataset updated
    Nov 22, 2024
    Dataset provided by
    OKStateStat
    Description

    Increase the percentage of business filing transactions processed online from 33% in 2014 to 50% by 2018.

  19. F

    Producer Price Index by Commodity: Telecommunication, Cable, and Internet...

    • fred.stlouisfed.org
    json
    Updated Jul 16, 2025
    + more versions
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    (2025). Producer Price Index by Commodity: Telecommunication, Cable, and Internet User Services: Business Internet Access Services [Dataset]. https://fred.stlouisfed.org/series/WPU37410301
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 16, 2025
    License

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

    Description

    Graph and download economic data for Producer Price Index by Commodity: Telecommunication, Cable, and Internet User Services: Business Internet Access Services (WPU37410301) from Dec 2011 to Jun 2025 about telecom, internet, business, services, commodities, PPI, inflation, price index, indexes, price, and USA.

  20. Data from: Online Shopping in China

    • ibisworld.com
    Updated Oct 22, 2003
    + more versions
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    IBISWorld (2003). Online Shopping in China [Dataset]. https://www.ibisworld.com/china/number-of-businesses/online-shopping/5015/
    Explore at:
    Dataset updated
    Oct 22, 2003
    Dataset authored and provided by
    IBISWorld
    License

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

    Time period covered
    2004 - 2031
    Area covered
    China
    Description

    Number of Businesses statistics on the Online Shopping industry in China

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Techno Trenz (2025). Online Business Statistics By Content Marketing ,Blogging, Country And Facts (2025) [Dataset]. https://technotrenz.com/stats/online-business-statistics/

Online Business Statistics By Content Marketing ,Blogging, Country And Facts (2025)

Explore at:
Dataset updated
Jul 4, 2025
Dataset authored and provided by
Techno Trenz
License

https://technotrenz.com/privacy-policy/https://technotrenz.com/privacy-policy/

Time period covered
2022 - 2032
Area covered
Global
Description

Introduction

Online Business Statistics: Today, shopping online is the most popular choice. eCommerce has made it much easier to buy everything from clothes and beauty products to home items and groceries. With just a few clicks, you can place an order and have it delivered right to your door, all without leaving your home. Many companies have gone digital, with some running entirely online.

This shift has led to a huge increase in online shopping. Nowadays, almost everyone buys something online at least once a day. To give you a better understanding of online shopping, we’ve gathered some interesting Online Business Statistics for 2025.

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