85 datasets found
  1. Data from: E-commerce and ICT activity

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Feb 5, 2021
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    Office for National Statistics (2021). E-commerce and ICT activity [Dataset]. https://www.ons.gov.uk/businessindustryandtrade/itandinternetindustry/datasets/ictactivityofukbusinessesecommerceandictactivity
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    xlsxAvailable download formats
    Dataset updated
    Feb 5, 2021
    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

    Use of information and communication technology (ICT) and e-commerce activity by UK businesses. Annual data on e-commerce sales and how businesses are using the internet.

  2. Ecommerce Market Data | South-east Asia E-commerce Contacts | 170M Profiles...

    • datarade.ai
    + more versions
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    Success.ai, Ecommerce Market Data | South-east Asia E-commerce Contacts | 170M Profiles | Verified Accuracy | Best Price Guarantee [Dataset]. https://datarade.ai/data-products/ecommerce-market-data-south-east-asia-e-commerce-contacts-success-ai
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset provided by
    Area covered
    Israel, Yemen, Nepal, Iraq, Syrian Arab Republic, Philippines, Sri Lanka, Lebanon, Timor-Leste, Qatar, South East Asia
    Description

    Success.ai’s Ecommerce Market Data for South-east Asia E-commerce Contacts provides a robust and accurate dataset tailored for businesses and organizations looking to connect with professionals in the fast-growing e-commerce industry across South-east Asia. Covering roles such as e-commerce managers, digital strategists, logistics experts, and online marketplace leaders, this dataset offers verified contact details, professional insights, and actionable market data.

    With access to over 170 million verified profiles globally, Success.ai ensures your outreach, marketing, and research strategies are powered by accurate, continuously updated, and AI-validated data. Backed by our Best Price Guarantee, this solution empowers you to excel in one of the world’s most dynamic e-commerce regions.

    Why Choose Success.ai’s Ecommerce Market Data?

    1. Verified Contact Data for Precision Outreach

      • Access verified work emails, phone numbers, and LinkedIn profiles of e-commerce professionals across South-east Asia.
      • AI-driven validation ensures 99% accuracy, reducing communication inefficiencies and enhancing engagement rates.
    2. Comprehensive Coverage of South-east Asia’s E-commerce Market

      • Includes professionals from key e-commerce hubs such as Singapore, Indonesia, Thailand, Vietnam, Malaysia, and the Philippines.
      • Gain insights into regional consumer trends, logistics challenges, and online marketplace dynamics.
    3. Continuously Updated Datasets

      • Real-time updates capture changes in professional roles, company expansions, and market conditions.
      • Stay aligned with industry trends and emerging opportunities in South-east Asia’s e-commerce sector.
    4. Ethical and Compliant

      • Fully adheres to GDPR, CCPA, and other global data privacy regulations, ensuring responsible and lawful data usage.

    Data Highlights:

    • 170M+ Verified Global Profiles: Engage with e-commerce professionals and decision-makers across South-east Asia.
    • Verified Contact Details: Gain work emails, phone numbers, and LinkedIn profiles for precision targeting.
    • Regional Insights: Understand key trends in e-commerce, logistics, and consumer preferences in South-east Asia.
    • Leadership Insights: Connect with online marketplace leaders, logistics managers, and digital marketing professionals driving innovation in the sector.

    Key Features of the Dataset:

    1. Comprehensive Professional Profiles in E-commerce

      • Identify and connect with professionals managing e-commerce platforms, online marketplaces, and logistics operations.
      • Target individuals responsible for digital marketing, supply chain management, and e-commerce strategies.
    2. Advanced Filters for Precision Campaigns

      • Filter professionals by industry focus (apparel, electronics, food delivery), geographic location, or job function.
      • Tailor campaigns to align with specific business goals, such as logistics optimization, consumer engagement, or market entry.
    3. Regional and Market-specific Insights

      • Leverage data on e-commerce trends, regional consumer behaviors, and logistics challenges unique to South-east Asia.
      • Refine marketing strategies and business plans based on actionable insights from the region.
    4. AI-Driven Enrichment

      • Profiles enriched with actionable data enable personalized messaging, highlight unique value propositions, and improve engagement outcomes.

    Strategic Use Cases:

    1. Marketing Campaigns and Digital Outreach

      • Promote e-commerce solutions, logistics services, or online marketing tools to professionals in South-east Asia’s e-commerce industry.
      • Use verified contact data for multi-channel outreach, including email, phone, and digital campaigns.
    2. Market Research and Competitive Analysis

      • Analyze e-commerce trends and consumer preferences across South-east Asia to refine product offerings and marketing strategies.
      • Benchmark against competitors to identify growth opportunities and high-demand solutions.
    3. Partnership Development and Vendor Collaboration

      • Build relationships with e-commerce platforms, logistics providers, and digital marketing agencies exploring strategic partnerships.
      • Foster collaborations that enhance consumer experiences, improve delivery efficiency, or expand market reach.
    4. Recruitment and Talent Acquisition

      • Target HR professionals and hiring managers in the e-commerce industry seeking candidates for logistics, digital marketing, and platform management roles.
      • Provide workforce optimization platforms or training solutions tailored to the sector.

    Why Choose Success.ai?

    1. Best Price Guarantee

      • Access premium-quality e-commerce market data at competitive prices, ensuring strong ROI for your marketing, sales, and business development initiatives.
    2. Seamless Integration

      • Integrate verified e-commerce data into CRM systems, analytics ...
  3. Ecommerce Store Data | APAC E-commerce Sector | Verified Business Profiles...

    • datarade.ai
    Updated Jan 1, 2018
    + more versions
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    Success.ai (2018). Ecommerce Store Data | APAC E-commerce Sector | Verified Business Profiles with Key Insights | Best Price Guarantee [Dataset]. https://datarade.ai/data-products/ecommerce-store-data-apac-e-commerce-sector-verified-busi-success-ai
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Jan 1, 2018
    Dataset provided by
    Area covered
    Northern Mariana Islands, Mexico, Andorra, Lao People's Democratic Republic, Fiji, Austria, Canada, Malta, Korea (Democratic People's Republic of), Italy
    Description

    Success.ai’s Ecommerce Store Data for the APAC E-commerce Sector provides a reliable and accurate dataset tailored for businesses aiming to connect with e-commerce professionals and organizations across the Asia-Pacific region. Covering roles and businesses involved in online retail, marketplace management, logistics, and digital commerce, this dataset includes verified business profiles, decision-maker contact details, and actionable insights.

    With access to continuously updated, AI-validated data and over 700 million global profiles, Success.ai ensures your outreach, market analysis, and partnership strategies are effective and data-driven. Backed by our Best Price Guarantee, this solution helps you excel in one of the world’s fastest-growing e-commerce markets.

    Why Choose Success.ai’s Ecommerce Store Data?

    1. Verified Profiles for Precision Engagement

      • Access verified profiles, business locations, employee counts, and decision-maker details for e-commerce businesses across APAC.
      • AI-driven validation ensures 99% accuracy, improving engagement rates and reducing outreach inefficiencies.
    2. Comprehensive Coverage of the APAC E-commerce Sector

      • Includes businesses from major e-commerce hubs such as China, India, Japan, South Korea, Australia, and Southeast Asia.
      • Gain insights into regional e-commerce trends, digital transformation efforts, and logistics innovations.
    3. Continuously Updated Datasets

      • Real-time updates ensure that business profiles, employee roles, and operational insights remain accurate and relevant.
      • Stay aligned with dynamic market conditions and emerging opportunities in the APAC region.
    4. Ethical and Compliant

      • Fully adheres to GDPR, CCPA, and other global data privacy regulations, ensuring responsible and lawful data usage.

    Data Highlights:

    • 700M+ Verified Global Profiles: Access business profiles for e-commerce professionals and organizations across APAC.
    • Firmographic Insights: Gain detailed information, including business locations, employee counts, and operational details.
    • Decision-maker Profiles: Connect with key e-commerce leaders, managers, and strategists driving online retail innovation.
    • Industry Trends: Understand emerging e-commerce trends, consumer behavior, and market dynamics in the APAC region.

    Key Features of the Dataset:

    1. Comprehensive E-commerce Business Profiles

      • Identify and connect with businesses specializing in online retail, marketplace management, and digital commerce logistics.
      • Target decision-makers involved in supply chain optimization, digital marketing, and platform development.
    2. Advanced Filters for Precision Campaigns

      • Filter businesses and professionals by industry focus (fashion, electronics, grocery), geographic location, or employee size.
      • Tailor campaigns to address specific goals, such as promoting technology adoption, enhancing customer engagement, or expanding supply chains.
    3. Regional and Sector-specific Insights

      • Leverage data on APAC’s fast-growing e-commerce markets, consumer purchasing trends, and regional challenges.
      • Refine your marketing strategies and outreach efforts to align with market priorities.
    4. AI-Driven Enrichment

      • Profiles enriched with actionable data allow for personalized messaging, highlight unique value propositions, and improve engagement outcomes.

    Strategic Use Cases:

    1. Marketing Campaigns and Outreach

      • Promote e-commerce solutions, logistics services, or digital commerce tools to businesses and professionals in the APAC region.
      • Use verified contact data for multi-channel outreach, including email, phone, and social media campaigns.
    2. Partnership Development and Vendor Collaboration

      • Build relationships with e-commerce marketplaces, logistics providers, and payment solution companies seeking strategic partnerships.
      • Foster collaborations that drive operational efficiency, enhance customer experiences, or expand market reach.
    3. Market Research and Competitive Analysis

      • Analyze regional e-commerce trends, consumer preferences, and logistics challenges to refine product offerings and business strategies.
      • Benchmark against competitors to identify growth opportunities and high-demand solutions.
    4. Recruitment and Talent Acquisition

      • Target HR professionals and hiring managers in the e-commerce industry recruiting for roles in operations, logistics, and digital marketing.
      • Provide workforce optimization platforms or training solutions tailored to the digital commerce sector.

    Why Choose Success.ai?

    1. Best Price Guarantee

      • Access premium-quality e-commerce store data at competitive prices, ensuring strong ROI for your marketing, sales, and strategic initiatives.
    2. Seamless Integration

      • Integrate verified e-commerce data into CRM systems, analytics platforms, or market...
  4. 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.

  5. Global retail e-commerce sales 2022-2028

    • statista.com
    Updated Jun 24, 2025
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    Statista (2025). Global retail e-commerce sales 2022-2028 [Dataset]. https://www.statista.com/statistics/379046/worldwide-retail-e-commerce-sales/
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    Dataset updated
    Jun 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 2025
    Area covered
    Worldwide
    Description

    In 2024, global retail e-commerce sales reached an estimated ************ U.S. dollars. Projections indicate a ** percent growth in this figure over the coming years, with expectations to come close to ************** dollars by 2028. World players Among the key players on the world stage, the American marketplace giant Amazon holds the title of the largest e-commerce player globally, with a gross merchandise value of nearly *********** U.S. dollars in 2024. Amazon was also the most valuable retail brand globally, followed by mostly American competitors such as Walmart and the Home Depot. Leading e-tailing regions E-commerce is a dormant channel globally, but nowhere has it been as successful as in Asia. In 2024, the e-commerce revenue in that continent alone was measured at nearly ************ U.S. dollars, outperforming the Americas and Europe. That year, the up-and-coming e-commerce markets also 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 ** percent.

  6. u

    E-commerce Industry Statistics 2025

    • upmetrics.co
    webpage
    Updated Oct 25, 2023
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    Upmetrics (2023). E-commerce Industry Statistics 2025 [Dataset]. https://upmetrics.co/blog/ecommerce-statistics
    Explore at:
    webpageAvailable download formats
    Dataset updated
    Oct 25, 2023
    Dataset provided by
    UpMetrics
    Authors
    Upmetrics
    License

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

    Time period covered
    2023
    Description

    A comprehensive dataset providing key insights into the eCommerce industry, including global retail online sales projections, number of eCommerce stores, digital buyer statistics, revenue growth in the United States, sector-wise revenue details with a focus on consumer electronics, average conversion rates, and mobile commerce sales forecasts.

  7. d

    Ecommerce Data | Store Location Data | Global Coverage | 61M+ Contacts |...

    • datarade.ai
    Updated Jan 24, 2024
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    Exellius Systems (2024). Ecommerce Data | Store Location Data | Global Coverage | 61M+ Contacts | (Verified E-mail, Direct Dails)| Decision Makers Contacts| 20+ Attributes [Dataset]. https://datarade.ai/data-products/ecommerce-data-ecommerce-store-data-global-coverage-200-exellius-systems
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Jan 24, 2024
    Dataset authored and provided by
    Exellius Systems
    Area covered
    Gabon, Heard Island and McDonald Islands, Namibia, Saint Vincent and the Grenadines, Lithuania, Spain, Seychelles, Jersey, Congo (Democratic Republic of the), Iran (Islamic Republic of)
    Description

    Revolutionize Customer Engagement with Our Comprehensive Ecommerce Data

    Our Ecommerce Data is designed to elevate your customer engagement strategies, providing you with unparalleled insights and precision targeting capabilities. With over 61 million global contacts, this dataset goes beyond conventional data, offering a unique blend of shopping cart links, business emails, phone numbers, and LinkedIn profiles. This comprehensive approach ensures that your marketing strategies are not just effective but also highly personalized, enabling you to connect with your audience on a deeper level.

    What Makes Our Ecommerce Data Stand Out?

    • Unique Features for Enhanced Targeting
      Our Ecommerce Data is distinguished by its depth and precision. Unlike many other datasets, it includes shopping cart links—a rare and valuable feature that provides you with direct insights into consumer behavior and purchasing intent. This information allows you to tailor your marketing efforts with unprecedented accuracy. Additionally, the integration of business emails, phone numbers, and LinkedIn profiles adds multiple layers to traditional contact data, enriching your understanding of clients and enabling more personalized engagement.

    • Robust and Reliable Data Sourcing
      We pride ourselves on our dual-sourcing strategy that ensures the highest levels of data accuracy and relevance:

      • Real-Time Information from 10 Active Publication Sites: Our databases are continuously updated with the latest information, sourced from ten active publication sites that provide real-time data.
      • Dedicated Contact Discovery Team: Complementing our automated sources, our dedicated Contact Discovery Team conducts thorough research and investigations, ensuring that every piece of data is accurate and reliable. This two-pronged approach guarantees that our Ecommerce Data is both up-to-date and relevant, providing you with a solid foundation for your business strategies.

      Primary Use Cases Across Industries

    Our Ecommerce Data is versatile and can be leveraged across various industries for multiple applications: - Precision Targeting in Marketing: Create personalized marketing campaigns based on detailed shopping cart activities, ensuring that your outreach resonates with individual customer preferences. - Sales Enrichment: Sales teams can benefit from enriched client profiles that include comprehensive contact information, enabling them to connect with key decision-makers more effectively. - Market Research and Analytics: Research and analytics departments can use this data for in-depth market studies and trend analyses, gaining valuable insights into consumer behavior and market dynamics.

    Global Coverage for Comprehensive Engagement

    Our Ecommerce Data spans across the globe, providing you with extensive reach and the ability to engage with customers in diverse regions: - North America: United States, Canada, Mexico - Europe: United Kingdom, Germany, France, Italy, Spain, Netherlands, Sweden, and more - Asia: China, Japan, India, South Korea, Singapore, Malaysia, and more - South America: Brazil, Argentina, Chile, Colombia, and more - Africa: South Africa, Nigeria, Kenya, Egypt, and more - Australia and Oceania: Australia, New Zealand - Middle East: United Arab Emirates, Saudi Arabia, Israel, Qatar, and more

    Comprehensive Employee and Revenue Size Information

    Our dataset also includes detailed information on: - Employee Size: Whether you’re targeting small businesses or large corporations, our data covers all employee sizes, from startups to global enterprises. - Revenue Size: Gain insights into companies across various revenue brackets, enabling you to segment the market more effectively and target your efforts where they will have the most impact.

    Seamless Integration into Broader Data Offerings

    Our Ecommerce Data is not just a standalone product; it is a critical piece of our broader data ecosystem. It seamlessly integrates with our comprehensive suite of business and consumer datasets, offering you a holistic approach to data-driven decision-making: - Tailored Packages: Choose customized data packages that meet your specific business needs, combining Ecommerce Data with other relevant datasets for a complete view of your market. - Holistic Insights: Whether you are looking for industry-specific details or a broader market overview, our integrated data solutions provide you with the insights necessary to stay ahead of the competition and make informed business decisions.

    Elevate Your Business Decisions with Our Ecommerce Data

    In essence, our Ecommerce Data is more than just a collection of contacts—it’s a strategic tool designed to give you a competitive edge in understanding and engaging your target audience. By leveraging the power of this comprehensive dataset, you can elevate your business decisions, enhance customer interactions, and navigate the digital landscape with confi...

  8. Ecommerce Leads Data | Retail, E-commerce & Consumer Goods Executives...

    • datarade.ai
    Updated Jan 1, 2018
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    Success.ai (2018). Ecommerce Leads Data | Retail, E-commerce & Consumer Goods Executives Worldwide | Verified Global Profiles from 700M+ Dataset | Best Price Guarantee [Dataset]. https://datarade.ai/data-products/ecommerce-leads-data-retail-e-commerce-consumer-goods-ex-success-ai
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Jan 1, 2018
    Dataset provided by
    Area covered
    Timor-Leste, Guinea-Bissau, Syrian Arab Republic, Azerbaijan, Guatemala, Netherlands, Georgia, Dominica, Bolivia (Plurinational State of), South Sudan
    Description

    Success.ai’s Ecommerce Leads Data for Retail, E-commerce & Consumer Goods Executives Worldwide delivers a robust and comprehensive dataset designed to help businesses connect with decision-makers and professionals in the global retail and e-commerce sectors. Covering industry leaders, marketing strategists, product managers, and logistics executives, this dataset offers verified contact details, business locations, and decision-maker insights.

    With access to over 700 million verified global profiles and actionable data from retail and consumer goods companies, Success.ai ensures your outreach, market research, and business development initiatives are powered by accurate, continuously updated, and AI-validated data. Supported by our Best Price Guarantee, this solution equips you to succeed in the competitive e-commerce landscape.

    Why Choose Success.ai’s Ecommerce Leads Data?

    1. Verified Contact Data for Precision Outreach

      • Access verified work emails, phone numbers, and LinkedIn profiles of e-commerce executives, retail leaders, and consumer goods professionals worldwide.
      • AI-driven validation ensures 99% accuracy, optimizing outreach efforts and minimizing errors in communication.
    2. Comprehensive Global Coverage

      • Includes profiles of professionals from major e-commerce hubs such as North America, Europe, Asia-Pacific, and the Middle East.
      • Gain insights into global trends in online retail, logistics, and consumer goods.
    3. Continuously Updated Datasets

      • Real-time updates capture leadership changes, business expansions, and emerging e-commerce strategies.
      • Stay ahead of industry trends and align your efforts with evolving market conditions.
    4. Ethical and Compliant

      • Fully adheres to GDPR, CCPA, and other global data privacy regulations, ensuring responsible use and compliance with legal standards.

    Data Highlights:

    • 700M+ Verified Global Profiles: Connect with retail, e-commerce, and consumer goods professionals worldwide.
    • Leadership and Decision-Maker Insights: Engage with C-suite executives, product managers, and logistics leaders driving the e-commerce industry.
    • Verified Contact Details: Access work emails, phone numbers, and business addresses for targeted engagement.
    • Market Intelligence: Gain visibility into e-commerce trends, customer engagement strategies, and emerging technologies.

    Key Features of the Dataset:

    1. Professional Profiles in E-commerce and Retail

      • Identify and connect with decision-makers responsible for product development, logistics, marketing strategies, and digital transformations.
      • Target professionals managing online marketplaces, omnichannel retail strategies, and supply chain efficiencies.
    2. Advanced Filters for Precision Campaigns

      • Filter professionals by industry focus (apparel, consumer electronics, food and beverage), geographic location, or job function.
      • Tailor campaigns to address specific market needs such as logistics optimization, digital marketing, or inventory management.
    3. Industry and Regional Insights

      • Leverage data on market trends, consumer preferences, and e-commerce growth across key regions.
      • Align your strategies with regional demands and opportunities to maximize impact.
    4. AI-Driven Enrichment

      • Profiles enriched with actionable data allow for personalized messaging, highlight unique value propositions, and improve engagement outcomes.

    Strategic Use Cases:

    1. Marketing Campaigns and Lead Generation

      • Design targeted campaigns to promote logistics solutions, digital marketing tools, or consumer goods to professionals in retail and e-commerce.
      • Use verified contact data for multi-channel outreach, including email, phone, and digital marketing.
    2. Product Development and Innovation

      • Utilize e-commerce insights to guide product development and align offerings with global consumer demands.
      • Collaborate with product managers and marketing strategists to refine product lines or launch new initiatives.
    3. Partnership Development and Collaboration

      • Build relationships with e-commerce platforms, logistics providers, and retail brands seeking strategic alliances.
      • Foster partnerships that expand market reach, enhance customer experiences, or improve operational efficiencies.
    4. Market Research and Competitive Analysis

      • Analyze global trends in e-commerce, retail, and consumer goods to refine your business strategies.
      • Benchmark against competitors to identify market gaps, growth opportunities, and emerging technologies.

    Why Choose Success.ai?

    1. Best Price Guarantee

      • Access premium-quality e-commerce leads data at competitive prices, ensuring strong ROI for your marketing, sales, and product development efforts.
    2. Seamless Integration

      • Integrate verified e-commerce data into CRM systems, analytics tools, or marketing pla...
  9. SASP Target 58 - Online Business - Dataset - data.sa.gov.au

    • data.sa.gov.au
    Updated Jul 2, 2015
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    data.sa.gov.au (2015). SASP Target 58 - Online Business - Dataset - data.sa.gov.au [Dataset]. https://data.sa.gov.au/data/dataset/sasp-target-58-online-business
    Explore at:
    Dataset updated
    Jul 2, 2015
    Dataset provided by
    Government of South Australiahttp://sa.gov.au/
    License

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

    Area covered
    South Australia
    Description

    Increase the proportion of businesses that receive orders online from 24% to 40% by 2014 and continue growth each year to 2020.

  10. Amount of data created, consumed, and stored 2010-2023, with forecasts to...

    • statista.com
    Updated Jun 30, 2025
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    Statista (2025). Amount of data created, consumed, and stored 2010-2023, with forecasts to 2028 [Dataset]. https://www.statista.com/statistics/871513/worldwide-data-created/
    Explore at:
    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 2024
    Area covered
    Worldwide
    Description

    The total amount of data created, captured, copied, and consumed globally is forecast to increase rapidly, reaching *** zettabytes in 2024. Over the next five years up to 2028, global data creation is projected to grow to more than *** zettabytes. In 2020, the amount of data created and replicated reached a new high. The growth was higher than previously expected, caused by the increased demand due to the COVID-19 pandemic, as more people worked and learned from home and used home entertainment options more often. Storage capacity also growing Only a small percentage of this newly created data is kept though, as just * percent of the data produced and consumed in 2020 was saved and retained into 2021. In line with the strong growth of the data volume, the installed base of storage capacity is forecast to increase, growing at a compound annual growth rate of **** percent over the forecast period from 2020 to 2025. In 2020, the installed base of storage capacity reached *** zettabytes.

  11. New Events Data in Greece

    • kaggle.com
    Updated Sep 14, 2024
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    Techsalerator (2024). New Events Data in Greece [Dataset]. https://www.kaggle.com/datasets/techsalerator/new-events-data-in-greece
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 14, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Techsalerator
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Area covered
    Greece
    Description

    Techsalerator's News Events Data for Greece: A Comprehensive Overview

    Techsalerator's News Events Data for Greece is an essential resource for businesses, researchers, and media organizations. This dataset aggregates information on significant news events across Greece, drawing from diverse media sources such as news outlets, online publications, and social platforms. It offers valuable insights for those looking to track trends, analyze public sentiment, or monitor industry-specific developments.

    Key Data Fields - Event Date: Captures the exact date of the news event, crucial for analysts monitoring trends over time or businesses responding to market shifts. - Event Title: A brief headline describing the event, allowing users to quickly categorize and assess news content based on relevance. - Source: Identifies the news outlet or platform where the event was reported, helping users track credible sources and assess the reach and influence of the event. - Location: Provides geographic information on where the event took place within Greece, valuable for regional analysis or localized marketing efforts. - Event Description: A detailed summary of the event, outlining key developments, participants, and potential impact. Researchers and businesses use this to understand the context and implications of the event.

    Top 5 News Categories in Greece - Politics: Major news coverage on government decisions, political movements, elections, and policy changes affecting the national landscape. - Economy: Focuses on Greece’s economic indicators, inflation rates, international trade, and corporate activities influencing business and finance sectors. - Social Issues: News events covering protests, public health, education, and other societal concerns driving public discourse. - Sports: Highlights events in football, basketball, and other popular sports, often drawing widespread attention and engagement across the country. - Technology and Innovation: Reports on tech developments, startups, and innovations in Greece’s growing tech ecosystem, featuring companies like Vodafone Greece and up-and-coming startups.

    Top 5 News Sources in Greece - Kathimerini: A major newspaper providing in-depth coverage of politics, economy, and social issues. - Ta Nea: A prominent source for news related to politics, business, and cultural events across Greece. - Mega Channel: A leading TV network offering real-time updates on current affairs, sports, and entertainment. - Protagon: A well-regarded online news platform known for its investigative journalism and analysis of political and social issues. - Ethnos: A key newspaper providing extensive coverage of national politics, economy, and public affairs.

    Accessing Techsalerator’s News Events Data for Greece To access Techsalerator’s News Events Data for Greece, please contact info@techsalerator.com with your specific needs. We will provide a customized quote based on the data fields and records you require, with delivery available within 24 hours. Ongoing access options can also be discussed.

    Included Data Fields - Event Date - Event Title - Source - Location - Event Description - Event Category (Politics, Economy, Sports, etc.) - Participants (if applicable) - Event Impact (Social, Economic, etc.)

    Techsalerator’s dataset is an invaluable tool for tracking significant events in Greece. It aids in making informed decisions, whether for business strategy, market analysis, or academic research, offering a clear picture of the country’s news landscape.

  12. g

    Development Economics Data Group - Proportion of businesses placing orders...

    • gimi9.com
    Updated May 8, 2025
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    (2025). Development Economics Data Group - Proportion of businesses placing orders over the Internet | gimi9.com [Dataset]. https://gimi9.com/dataset/worldbank_unctad_de_ict_core_uisic4_ann_00_b8/
    Explore at:
    Dataset updated
    May 8, 2025
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    This refers to the number of in-scope businesses placing orders over the Internet as a proportion of the total number of in-scope businesses. It includes orders placed via the Internet whether payment was made online or not: via websites, specialized Internet marketplaces, extranets, EDI over the Internet, smartphone applications, and email. It excludes orders that were cancelled or not completed. For more details, see description of indicator B8 at https://www.itu.int/en/ITU-D/Statistics/Documents/coreindicators/Core-List-of-Indicators_March2022.pdf

  13. A

    ‘Bakery Sales Dataset’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Sep 16, 2021
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2021). ‘Bakery Sales Dataset’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/kaggle-bakery-sales-dataset-0101/latest
    Explore at:
    Dataset updated
    Sep 16, 2021
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

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

    Description

    Analysis of ‘Bakery Sales Dataset’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/akashdeepkuila/bakery on 28 January 2022.

    --- Dataset description provided by original source is as follows ---

    Context

    We live in the era of e-commerce and digital marketing. We have even small scale businesses going online as the opportunities are endless. Since a huge chunk of the people who have access to internet is switching to online shopping, large retailers are actively searching for ways to increase their profit. Market Basket analysis is one such key techniques used by large retailers to to increase sales by understanding the customers' purchasing behavior & patterns. Market basket analysis examines collections of items to find relationships between items that go together within the business context.

    Content

    The dataset belongs to "The Bread Basket" a bakery located in Edinburgh. The dataset provide the transaction details of customers who ordered different items from this bakery online during the time period from 26-01-11 to 27-12-03. The dataset has 20507 entries, over 9000 transactions, and 4 columns.

    Variables

    • TransactionNo : unique identifier for every single transaction
    • Items : items purchased
    • DateTime : date and time stamp of the transactions
    • Daypart : part of the day when a transaction is made (morning, afternoon, evening, night)
    • DayType : classifies whether a transaction has been made in weekend or weekdays

    Inspiration

    The dataset is ideal for anyone looking to practice association rule mining and understand the business context of data mining for better understanding of the buying pattern of customers.

    --- Original source retains full ownership of the source dataset ---

  14. c

    Kroger groceries and essentials dataset

    • crawlfeeds.com
    csv, zip
    Updated May 4, 2025
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    Crawl Feeds (2025). Kroger groceries and essentials dataset [Dataset]. https://crawlfeeds.com/datasets/kroger-groceries-and-essentials-dataset
    Explore at:
    csv, zipAvailable download formats
    Dataset updated
    May 4, 2025
    Dataset authored and provided by
    Crawl Feeds
    License

    https://crawlfeeds.com/privacy_policyhttps://crawlfeeds.com/privacy_policy

    Description

    Discover our comprehensive dataset of groceries and essentials from Kroger, featuring detailed information on a wide range of products available at this major retailer.

    The dataset includes product names, categories, descriptions, prices, and availability, providing a thorough view of Kroger’s grocery and essential offerings.

    Ideal for market analysis, inventory management, and competitive research, this dataset enables businesses and analysts to track pricing trends, monitor stock levels, and understand consumer preferences.

    Gain valuable insights into the grocery retail sector with this extensive collection of Kroger product data.

    Kroger groceries and essentials data is extracted by using crawl feeds team in-house tools. Last extracted on Nov 2022.

  15. P

    Is QuickBooks Desktop Support Better Than Online Support? Dataset

    • paperswithcode.com
    Updated Jun 23, 2025
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    Bolei Zhou; Aditya Khosla; Agata Lapedriza; Aude Oliva; Antonio Torralba (2025). Is QuickBooks Desktop Support Better Than Online Support? Dataset [Dataset]. https://paperswithcode.com/dataset/is-quickbooks-desktop-support-better-than
    Explore at:
    Dataset updated
    Jun 23, 2025
    Authors
    Bolei Zhou; Aditya Khosla; Agata Lapedriza; Aude Oliva; Antonio Torralba
    Description

    How do I contact QuickBooks DesKToP support +1805||243||8832|| What is QuickBooks Premier support number || How do I contact QuickBooks DesKToP support phone number || QuickBooks DesKToP support phone number |+1805||243||8832| QuickBooks DesKToP Support Number+1*805||243||8832

    Data Recovery: Data loss can be a +1805||243||8832 significant concern for businesses. If your QuickBooks DesKToP data files become +1805||243||8832 corrupted or lost, support representatives can assist with recovery options, ensuring that you don’t lose important business data. +1*805||243||8832

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  16. New Events Data in Cambodia

    • kaggle.com
    Updated Sep 13, 2024
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    Techsalerator (2024). New Events Data in Cambodia [Dataset]. https://www.kaggle.com/datasets/techsalerator/new-events-data-in-cambodia/discussion
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 13, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Techsalerator
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Area covered
    Cambodia
    Description

    Techsalerator's News Events Data for Cambodia: A Comprehensive Overview

    Techsalerator's News Events Data for Cambodia provides an essential resource for businesses, researchers, and media organizations. This dataset compiles information on key news events across Cambodia, drawing from a diverse array of media sources, including news outlets, online publications, and social media platforms. It offers valuable insights for those interested in tracking trends, analyzing public sentiment, or monitoring industry-specific developments.

    Key Data Fields - Event Date: Records the precise date of the news event, crucial for trend analysis over time or for businesses reacting to market changes. - Event Title: A concise headline describing the event, enabling users to quickly gauge and categorize news content based on relevance. - Source: Identifies the news outlet or platform reporting the event, helping users track credible sources and evaluate the event's reach and influence. - Location: Provides geographic details about where the event occurred within Cambodia, valuable for regional analysis or targeted marketing. - Event Description: Offers a detailed summary of the event, including key developments, participants, and potential impact, aiding in understanding the context and implications.

    Top 5 News Categories in Cambodia - Politics: Covers major news on government decisions, political movements, elections, and policy changes affecting the national landscape. - Economy: Focuses on Cambodia’s economic indicators, trade activities, inflation rates, and corporate news impacting business and finance sectors. - Social Issues: Highlights news on public health, education, social protests, and other societal concerns driving public discourse. - Sports: Features events in popular sports, such as football and martial arts, attracting considerable attention and engagement. - Technology and Innovation: Reports on tech advancements, startups, and innovations in Cambodia’s evolving tech sector.

    Top 5 News Sources in Cambodia - The Phnom Penh Post: One of Cambodia's leading English-language newspapers, offering comprehensive coverage of politics, economy, and social issues. - Cambodia Daily: A well-regarded source for news related to national affairs, business, and cultural events. - Fresh News: A prominent online news platform providing real-time updates on breaking news, sports, and entertainment. - Koh Santepheap Daily: A major Khmer-language newspaper known for its extensive reporting on current affairs and local issues. - VOD (Voice of Democracy): An independent news outlet focusing on in-depth coverage of politics, social issues, and investigative journalism.

    Accessing Techsalerator’s News Events Data for Cambodia To access Techsalerator’s News Events Data for Cambodia, please contact info@techsalerator.com with your specific needs. We will provide a customized quote based on the data fields and records you require, with delivery available within 24 hours. Ongoing access options can also be discussed.

    Included Data Fields - Event Date - Event Title - Source - Location - Event Description - Event Category (Politics, Economy, Sports, etc.) - Participants (if applicable) - Event Impact (Social, Economic, etc.)

    Techsalerator’s dataset is a valuable tool for tracking significant events in Cambodia. It supports informed decision-making, whether for business strategy, market analysis, or academic research, offering a comprehensive view of the country’s news landscape.

  17. Japan Market Dataset

    • kaggle.com
    Updated Aug 15, 2023
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    lastman0800 (2023). Japan Market Dataset [Dataset]. https://www.kaggle.com/datasets/lastman0800/japan-market-dataset/versions/1
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 15, 2023
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    lastman0800
    Description

    This dataset is designed for analyzing various product categories within the Japanese market. It provides information about each product category's size, growth rate, market share, competitor market shares, average price, customer demographics, online presence, and market saturation. Here's a breakdown of each column:

    Product Category: The type of products or services being analyzed within the Japanese market.

    Total Market Size (in USD): The estimated total market size in terms of US dollars for each product category. This figure reflects the overall revenue potential for that category.

    Market Growth Rate (%): The projected annual growth rate of each product category's market. This percentage indicates how much the market is expected to expand or contract over time.

    Market Share (%): The percentage of the total market size that each product category holds. This reflects the relative importance of each category within the overall market.

    Competitor 1 Market Share (%): The market share percentage of the first major competitor within each product category. This helps to understand the competitive landscape.

    Competitor 2 Market Share (%): The market share percentage of the second major competitor within each product category. Similar to the previous column, this provides insight into the competitive environment.

    Average Price (in USD): The average price of products or services within each product category. This information helps understand the pricing dynamics of the category.

    Customer Demographics: The primary target audience or customer segments for each product category. Understanding the demographics helps in tailoring marketing efforts.

    Online Presence (%): The percentage of businesses within each product category that have an online presence. This includes websites, social media, and other digital platforms.

    Market Saturation (%): An estimate of how much of the potential market demand has already been captured by existing products or services within each category. A higher percentage indicates a more saturated market.

  18. R

    Final Dataset

    • universe.roboflow.com
    zip
    Updated Sep 16, 2023
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    g (2023). Final Dataset [Dataset]. https://universe.roboflow.com/g-8elyd/final-hna51
    Explore at:
    zipAvailable download formats
    Dataset updated
    Sep 16, 2023
    Dataset authored and provided by
    g
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Variables measured
    B N Bounding Boxes
    Description

    Here are a few use cases for this project:

    1. eCommerce Product Listing: The "final" computer vision model can be used to automatically extract and categorize product information such as price, item, title, and description from product images or catalogues. This can improve the efficiency of adding new items to online stores and ensure accurate, searchable metadata for each product.

    2. Menu Digitization: Restaurants can utilize the "final" model to digitize their physical menus by recognizing and extracting food items, prices, titles, and descriptions. This information can then be used to create an online menu or to integrate with food delivery platforms, enhancing the customer's online ordering experience.

    3. Inventory Management: Retail businesses can use the "final" model to improve their inventory management systems by automatically identifying and extracting product details from images of their inventory. This can assist staff in tracking stock levels, pricing, and other important product data to streamline operations and reduce errors.

    4. Automated Data Entry: Companies dealing with large amounts of physical documents or images can apply the "final" model to automate data extraction and entry. By identifying and extracting key information such as prices, items, titles, and descriptions from various document types, businesses can save time and resources by reducing manual data entry tasks.

    5. Smart Shopping Assistance: The "final" computer vision model can help develop smart shopping applications that allow users to snap an image of a product, extract its relevant information (price, item, title, and description), and compare it with other options online. This assists customers in making an informed decision while shopping and discovering the best deals effortlessly.

  19. D

    Registered Business Locations - San Francisco

    • data.sfgov.org
    • datadiscoverystudio.org
    • +3more
    Updated Jul 23, 2025
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    City and County of San Francisco (2025). Registered Business Locations - San Francisco [Dataset]. https://data.sfgov.org/widgets/g8m3-pdis
    Explore at:
    kmz, tsv, csv, xml, application/geo+json, application/rssxml, application/rdfxml, kmlAvailable download formats
    Dataset updated
    Jul 23, 2025
    Dataset authored and provided by
    City and County of San Francisco
    License

    ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
    License information was derived automatically

    Area covered
    San Francisco
    Description

    NEW!: Use the new Business Account Number lookup tool.

    SUMMARY This dataset includes the locations of businesses that pay taxes to the City and County of San Francisco. Each registered business may have multiple locations and each location is a single row. The Treasurer & Tax Collector’s Office collects this data through business registration applications, account update/closure forms, and taxpayer filings. Business locations marked as “Administratively Closed” have not filed or communicated with TTX for 3 years, or were marked as closed following a notification from another City and County Department.

    The data is collected to help enforce the Business and Tax Regulations Code including, but not limited to: Article 6, Article 12, Article 12-A, and Article 12-A-1. http://sftreasurer.org/registration.

    HOW TO USE THIS DATASET

  20. System migration in 2014: When the City transitioned to a new system in 2014, only active business accounts were migrated. As a result, any businesses that had already closed by that point were not included in the current dataset.
  21. 2018 account cleanup: In 2018, TTX did a major cleanup of dormant and unresponsive accounts and closed approximately 40,000 inactive businesses.

    To learn more about using this dataset watch this video. To update your listing or look up your BAN see this FAQ: Registered Business Locations Explainer

  • Farfetch.Product.prices.Macao

    • huggingface.co
    Updated Nov 17, 2023
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    Data Boutique (2023). Farfetch.Product.prices.Macao [Dataset]. https://huggingface.co/datasets/DBQ/Farfetch.Product.prices.Macao
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Nov 17, 2023
    Dataset provided by
    Authors
    Data Boutique
    License

    https://choosealicense.com/licenses/unknown/https://choosealicense.com/licenses/unknown/

    Description

    Farfetch web scraped data

      About the website
    

    The Ecommerce industry in the Asia Pacific, especially in Macao, has been experiencing rapid growth, due in part to the booming digital transformation. The region has become a hotspot for online retailers and businesses, creating a competitive marketplace. Farfetch, a renowned global luxury fashion online platform, operates in this industry and has established a significant presence in Macao. The available dataset showcases the… See the full description on the dataset page: https://huggingface.co/datasets/DBQ/Farfetch.Product.prices.Macao.

  • Share
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    Office for National Statistics (2021). E-commerce and ICT activity [Dataset]. https://www.ons.gov.uk/businessindustryandtrade/itandinternetindustry/datasets/ictactivityofukbusinessesecommerceandictactivity
    Organization logo

    Data from: E-commerce and ICT activity

    Related Article
    Explore at:
    2 scholarly articles cite this dataset (View in Google Scholar)
    xlsxAvailable download formats
    Dataset updated
    Feb 5, 2021
    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

    Use of information and communication technology (ICT) and e-commerce activity by UK businesses. Annual data on e-commerce sales and how businesses are using the internet.

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