65 datasets found
  1. Ecommerce Market Data | South-east Asia E-commerce Contacts | 170M Profiles...

    • datarade.ai
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    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
    Philippines, Sri Lanka, Israel, Iraq, Yemen, Nepal, Timor-Leste, Syrian Arab Republic, Lebanon, Qatar, Asia, 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 ...
  2. E-Commerce Data

    • kaggle.com
    Updated Aug 17, 2017
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Carrie (2017). E-Commerce Data [Dataset]. https://www.kaggle.com/carrie1/ecommerce-data/kernels
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 17, 2017
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Carrie
    Description

    Context

    Typically e-commerce datasets are proprietary and consequently hard to find among publicly available data. However, The UCI Machine Learning Repository has made this dataset containing actual transactions from 2010 and 2011. The dataset is maintained on their site, where it can be found by the title "Online Retail".

    Content

    "This is a transnational data set which contains all the transactions occurring between 01/12/2010 and 09/12/2011 for a UK-based and registered non-store online retail.The company mainly sells unique all-occasion gifts. Many customers of the company are wholesalers."

    Acknowledgements

    Per the UCI Machine Learning Repository, this data was made available by Dr Daqing Chen, Director: Public Analytics group. chend '@' lsbu.ac.uk, School of Engineering, London South Bank University, London SE1 0AA, UK.

    Image from stocksnap.io.

    Inspiration

    Analyses for this dataset could include time series, clustering, classification and more.

  3. Global retail e-commerce sales 2022-2028

    • statista.com
    Updated Apr 22, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Global retail e-commerce sales 2022-2028 [Dataset]. https://www.statista.com/statistics/379046/worldwide-retail-e-commerce-sales/
    Explore at:
    Dataset updated
    Apr 22, 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 six trillion U.S. dollars. Projections indicate a 31 percent growth in this figure over the coming years, with expectations to come close to eight trillion 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 800 billion 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 two trillion 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 20 percent.

  4. Ecommerce Data | Product & Customer Review Data | Scrape Any Website | FREE...

    • datarade.ai
    Updated Nov 30, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    PromptCloud (2023). Ecommerce Data | Product & Customer Review Data | Scrape Any Website | FREE Sample Available | Custom Scraping Services | PromptCloud [Dataset]. https://datarade.ai/data-products/ecommerce-data-product-and-customer-review-dataset-from-eco-promptcloud
    Explore at:
    Dataset updated
    Nov 30, 2023
    Dataset authored and provided by
    PromptCloud
    Description

    PromptCloud offers specialized data extraction services for eCommerce businesses, focusing on acquiring detailed product and customer review datasets from a variety of eCommerce websites. This service is instrumental for businesses aiming to refine their eCommerce strategies through in-depth market analysis, competitive research, and enhanced customer insights.

    Customization is a key aspect of PromptCloud's offerings. PromptCloud provides bespoke scraping services, tailored to the unique requirements of each business. This adaptability is especially beneficial for companies seeking a competitive advantage in the dynamic eCommerce market. A distinctive feature of PromptCloud's approach is the provision of a free sample, allowing potential clients to experience the quality and accuracy of their data firsthand. This commitment to quality is reflected in their use of advanced technologies that ensure the delivery of precise, up-to-date data.

    PromptCloud's versatility extends to data delivery, offering various formats like JSON, CSV, and XML. This flexibility facilitates seamless integration of data into different business systems, highlighting their focus on creating user-friendly and effective solutions.

    PromptCloud positions itself as a vital resource for eCommerce businesses looking to utilize data for strategic planning and customer understanding. Their tailored scraping services, combined with a commitment to delivering current and accurate data, make PromptCloud the best option for businesses seeking to improve their market presence and deepen their understanding of customer behavior.

    We are committed to putting data at the heart of your business. Reach out for a no-frills PromptCloud experience- professional, technologically ahead and reliable.

  5. w

    Dataset of books called Applying e-commerce in business

    • workwithdata.com
    Updated Jul 13, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Work With Data (2024). Dataset of books called Applying e-commerce in business [Dataset]. https://www.workwithdata.com/datasets/books?f=1&fcol0=book&fop0=%3D&fval0=Applying+e-commerce+in+business
    Explore at:
    Dataset updated
    Jul 13, 2024
    Dataset authored and provided by
    Work With Data
    License

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

    Description

    This dataset is about books. It has 3 rows and is filtered where the book is Applying e-commerce in business. It features 7 columns including author, publication date, language, and book publisher.

  6. Real e-commerce traffic&advertising dataset

    • kaggle.com
    Updated Mar 1, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Radek Łukasiewicz (2024). Real e-commerce traffic&advertising dataset [Dataset]. https://www.kaggle.com/datasets/rlukasiewicz/e-commerce-traffic-and-advertising/code
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 1, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Radek Łukasiewicz
    License

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

    Description

    Real e-commerce dataset from the online shop and cost of advertising campaigns in Google and Facebook/Meta Ads. Website traffic data from Google Analytics. All data in daily basis.

  7. E-Commerce Transactions Dataset

    • kaggle.com
    Updated Mar 8, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    AJ (2025). E-Commerce Transactions Dataset [Dataset]. https://www.kaggle.com/datasets/smayanj/e-commerce-transactions-dataset/data
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 8, 2025
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    AJ
    License

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

    Description

    Overview This dataset contains 50,000 fictional e-commerce transaction records, making it ideal for data analysis, visualization, and machine learning experiments. It includes user demographics, product categories, purchase amounts, payment methods, and transaction dates to help understand consumer behavior and sales trends.

    Columns Transaction_ID – Unique identifier for each transaction User_Name – Randomly generated user name Age – Age of the user (18 to 70) Country – Country where the transaction took place (randomly chosen from 10 countries) Product_Category – Category of the purchased item (e.g., Electronics, Clothing, Books) Purchase_Amount – Total amount spent on the transaction (randomly generated between $5 and $1000) Payment_Method – Method used for payment (e.g., Credit Card, PayPal, UPI) Transaction_Date – Date of the purchase (randomly selected within the past two years)

    Use Cases Sales and trend analysis – Identify which product categories are most popular Customer segmentation – Analyze spending behavior based on age and country Fraud detection – Detect unusual purchase patterns Machine learning projects – Train models for recommendation systems or revenue predictions

    This dataset is synthetic and does not contain real user data. It can be used for research, experimentation, and educational purposes.

  8. n

    Keyphrase Metrics for Ecommerce Businesses

    • newsletterscan.com
    Updated Feb 10, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). Keyphrase Metrics for Ecommerce Businesses [Dataset]. https://newsletterscan.com/topic/ecommerce-businesses
    Explore at:
    Dataset updated
    Feb 10, 2025
    Variables measured
    Mentions, Growth Rate, Growth Category
    Description

    A dataset of mentions, growth rate, and total volume of the keyphrase 'Ecommerce Businesses' over time.

  9. Mail-order and e-commerce sales of electronics and appliances 2003-2022

    • statista.com
    Updated Feb 26, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2024). Mail-order and e-commerce sales of electronics and appliances 2003-2022 [Dataset]. https://www.statista.com/statistics/185448/us-online-shops-and-mail-order-houses-sales-figures-for-electronics/
    Explore at:
    Dataset updated
    Feb 26, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    Sales for electronics and appliances of U.S. electronic shopping and mail-order houses have increased since 2003. The most significant growth was reported in 2021, when e-commerce sales hit over 86 billion U.S. dollars, up from nearly 51 billion U.S. dollars in 2019. In 2022, e-commerce sales slightly decreased to 85.5 billion U.S. dollars.

  10. G

    Motion picture theatres, methods used by businesses locations that reported...

    • open.canada.ca
    • www150.statcan.gc.ca
    • +1more
    csv, html, xml
    Updated Oct 4, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statistics Canada (2023). Motion picture theatres, methods used by businesses locations that reported e-commerce sales [Dataset]. https://open.canada.ca/data/en/dataset/a4447fc2-be96-4ac9-ba16-9918f3c028ca
    Explore at:
    csv, html, xmlAvailable download formats
    Dataset updated
    Oct 4, 2023
    Dataset provided by
    Statistics Canada
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    Methods used for e-commerce sales by businesses locations that reported e-commerce sales for the motion picture theatre industry, for Canada, for 3 years of data.

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

    • datarade.ai
    Updated Jan 1, 2018
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    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
    Syrian Arab Republic, Timor-Leste, Guinea-Bissau, Azerbaijan, Dominica, Bolivia (Plurinational State of), Netherlands, Georgia, Guatemala, 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...
  12. b

    Taobao Datasets

    • brightdata.com
    .json, .csv, .xlsx
    Updated Feb 16, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Bright Data (2023). Taobao Datasets [Dataset]. https://brightdata.com/products/datasets/taobao
    Explore at:
    .json, .csv, .xlsxAvailable download formats
    Dataset updated
    Feb 16, 2023
    Dataset authored and provided by
    Bright Data
    License

    https://brightdata.com/licensehttps://brightdata.com/license

    Description

    Gain valuable insights into consumer behavior, market trends, and competitive analysis with our comprehensive Taobao Dataset. Designed for businesses, analysts, and e-commerce professionals, this dataset provides structured and reliable data from Taobao to enhance product development, pricing strategies, and sales optimization.

    Dataset Features

    Product Listings: Access detailed product data, including titles, descriptions, categories, pricing, and availability. Seller Information: Extract seller details, including store names, ratings, locations, and customer feedback. Customer Reviews & Ratings: Analyze user-generated reviews, star ratings, and sentiment trends to understand consumer preferences. Pricing & Discounts: Track product pricing, promotional offers, and historical price changes to optimize pricing strategies. Sales & Demand Trends: Monitor product popularity, sales volume, and seasonal demand fluctuations.

    Customizable Subsets for Specific Needs Our Taobao Dataset is fully customizable, allowing you to filter data based on product categories, pricing, seller ratings, or customer sentiment. Whether you need broad coverage for market research or focused data for competitive intelligence, we tailor the dataset to your needs.

    Popular Use Cases

    Consumer Behavior Analysis: Understand purchasing patterns, customer preferences, and emerging trends. Competitive Intelligence: Track competitor pricing, product performance, and sales strategies. Market Research & Trend Forecasting: Identify high-demand products, seasonal trends, and emerging market opportunities. AI & Machine Learning Applications: Use structured e-commerce data to train AI models for recommendation engines, demand forecasting, and automated pricing. Supply Chain Optimization: Monitor inventory levels, shipping trends, and supplier performance to enhance logistics and fulfillment strategies.

    Whether you're optimizing pricing, analyzing consumer trends, or enhancing your e-commerce strategy, our Taobao Dataset provides the structured data you need. Get started today and customize your dataset to fit your business objectives.

  13. Mobile internet users in Morocco 2010-2029

    • statista.com
    Updated Jul 8, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista Research Department (2024). Mobile internet users in Morocco 2010-2029 [Dataset]. https://www.statista.com/topics/9376/e-commerce-in-morocco/
    Explore at:
    Dataset updated
    Jul 8, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    Morocco
    Description

    The number of smartphone users in Morocco was forecast to continuously increase between 2024 and 2029 by in total 9.9 million users (+35.53 percent). After the eighteenth consecutive increasing year, the smartphone user base is estimated to reach 37.71 million users and therefore a new peak in 2029. Smartphone users here are limited to internet users of any age using a smartphone. The shown figures have been derived from survey data that has been processed to estimate missing demographics.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the number of smartphone users in countries like Tunisia and Algeria.

  14. E-commerce sales of enterprises by NACE Rev. 2 activity

    • data.europa.eu
    html, tsv, xml
    Updated Jun 14, 2016
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Eurostat (2016). E-commerce sales of enterprises by NACE Rev. 2 activity [Dataset]. https://data.europa.eu/data/datasets/welnica5mmw26o3cisijga?locale=en
    Explore at:
    xml(15400), html, tsv(2386201), xml(3485892)Available download formats
    Dataset updated
    Jun 14, 2016
    Dataset authored and provided by
    Eurostathttps://ec.europa.eu/eurostat
    License

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

    Description

    E-commerce sales of enterprises by NACE Rev. 2 activity

  15. U

    United Kingdom E Commerce: Business: Electronic Data Interchange (EDI)

    • ceicdata.com
    Updated Feb 15, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com (2025). United Kingdom E Commerce: Business: Electronic Data Interchange (EDI) [Dataset]. https://www.ceicdata.com/en/united-kingdom/e-commerce-proportion-of-businesses-making-e-commerce-sales/e-commerce-business-electronic-data-interchange-edi
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2008 - Dec 1, 2016
    Area covered
    United Kingdom
    Variables measured
    Business Outlook Survey
    Description

    United Kingdom E Commerce: Business: Electronic Data Interchange (EDI) data was reported at 5.500 % in 2016. This records an increase from the previous number of 5.000 % for 2015. United Kingdom E Commerce: Business: Electronic Data Interchange (EDI) data is updated yearly, averaging 5.600 % from Dec 2008 (Median) to 2016, with 9 observations. The data reached an all-time high of 7.400 % in 2011 and a record low of 5.000 % in 2015. United Kingdom E Commerce: Business: Electronic Data Interchange (EDI) data remains active status in CEIC and is reported by Office for National Statistics. The data is categorized under Global Database’s United Kingdom – Table UK.S031: E Commerce: Proportion of Businesses Making E Commerce Sales.

  16. Ecommerce Merchant Data | Global E-commerce Professionals | 170M Verified...

    • datarade.ai
    Updated Oct 27, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Success.ai (2021). Ecommerce Merchant Data | Global E-commerce Professionals | 170M Verified Profiles | Work Emails & Direct Phone Numbers | Best Price Guarantee [Dataset]. https://datarade.ai/data-products/ecommerce-merchant-data-global-e-commerce-professionals-1-success-ai
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Oct 27, 2021
    Dataset provided by
    Area covered
    Nicaragua, Gabon, Mali, Bosnia and Herzegovina, Ghana, Czech Republic, United Arab Emirates, Norfolk Island, Guadeloupe, Canada
    Description

    Success.ai’s Ecommerce Merchant Data and B2B Contact Data for Global E-commerce Professionals provides a comprehensive and highly accurate database from over 170 million verified profiles. Specifically tailored for the e-commerce sector, this dataset features work emails, direct phone numbers, and enriched professional profiles to connect businesses with the leaders and decision-makers shaping the global e-commerce landscape. Continuously updated with advanced AI validation, this resource is ideal for enhancing marketing campaigns, sales initiatives, recruitment efforts, and market research.

    Key Features of Success.ai's Global E-commerce Professional Contact Data

    1. Global Data Coverage Gain access to an extensive database spanning key e-commerce markets worldwide. With verified profiles from 170M+ professionals, Success.ai ensures you can connect with global influencers, decision-makers, and strategists across diverse regions and industries.

    2. AI-Driven Accuracy Harness the power of AI validation for 99% accuracy rates across emails and phone numbers. Our continuously updated dataset ensures that you reach the right professionals with reliable and actionable contact data.

    3. Tailored for E-commerce Professionals Our data includes profiles of experts in online retail, supply chain logistics, payment systems, digital marketing, and e-commerce technology, making it a perfect fit for targeting niche segments within the e-commerce industry.

    4. Customizable Data Delivery Choose from API integrations, custom flat files, or direct database access to seamlessly integrate this dataset into your existing systems, empowering your team with flexibility and efficiency.

    5. Compliance-Ready Data Success.ai ensures all data is collected and processed in alignment with GDPR, CCPA, and other international compliance standards, so you can leverage this resource with confidence and ethical assurance.

    Why Choose Success.ai for Global E-commerce Contact Data?

    • Best Price Guarantee We offer a highly competitive pricing model that ensures the best value for high-quality, actionable data.

    • Strategic Applications Success.ai’s B2B Contact Data supports a variety of business functions:

    E-commerce Marketing Campaigns: Use verified contact information to launch targeted campaigns that reach decision-makers in the e-commerce sector. Sales and Outreach: Enhance your sales strategy with direct access to key players in global e-commerce. Talent Acquisition: Identify and engage with e-commerce professionals for roles in marketing, logistics, technology, and operations. Market Insights: Leverage enriched demographic and firmographic data to conduct in-depth market research and refine your strategies. Business Networking: Build connections with professionals and companies driving innovation in the global e-commerce ecosystem.

    • Technology-Enhanced Solutions Our data delivery is optimized for seamless integration into your systems, including:

    Enrichment API: Real-time updates to maintain the accuracy and relevance of your contact database. Lead Generation API: Maximize outreach efforts with access to key contact information, enabling up to 860,000 API calls per day.

    • Data Highlights 170M+ Verified Global Profiles 50M Direct Phone Numbers 700M Total Professional Profiles Worldwide 70M Verified Company Profiles

    • Use Cases

    1. Enhanced Marketing: Empower your e-commerce marketing strategies with precise email and phone contact details.
    2. Sales Growth: Equip your sales team to connect with top-level executives and decision-makers.
    3. Recruitment Excellence: Source global e-commerce talent efficiently with verified professional profiles.
    4. Customer Understanding: Deepen insights into customer demographics for improved personalization.
    5. Partnership Building: Identify potential collaborators and strengthen relationships with influential industry players.

    Success.ai is the ultimate choice for global e-commerce data solutions, delivering unmatched volume, accuracy, and flexibility:

    • AI-Validated Data: Ensures a 99% accuracy rate to drive success in your campaigns. Extensive Reach: Access professionals and companies across key regions in the e-commerce sector.
    • Seamless Integration: Choose the data delivery method that works best for your business needs.
    • Compliance Assurance: Leverage ethically sourced data in adherence to global privacy regulations.

    Transform your e-commerce strategies today with Success.ai. Gain access to reliable, verified contact data for global e-commerce professionals and unlock unparalleled opportunities for growth and innovation.

    No one beats us on price. Period.

  17. E-commerce, purchase and sales at companies; size of company 2008 - 2009

    • cbs.nl
    • cloud.csiss.gmu.edu
    • +1more
    xml
    Updated Jan 11, 2019
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Centraal Bureau voor de Statistiek (2019). E-commerce, purchase and sales at companies; size of company 2008 - 2009 [Dataset]. https://www.cbs.nl/en-gb/figures/detail/80427eng
    Explore at:
    xmlAvailable download formats
    Dataset updated
    Jan 11, 2019
    Dataset provided by
    Statistics Netherlands
    Authors
    Centraal Bureau voor de Statistiek
    License

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

    Time period covered
    2008 - 2009
    Area covered
    The Netherlands
    Description

    This table contains figures on the use of information and communication technology (ICT) by companies, specifically the extent to which they use external networks, incl. the internet, for e-commerce (purchasing and sales). The table shows the percentages of the total purchasing value and the total turnover realised via external networks. The figures refer to companies with 10 and more employed persons. The figures are broken down by sector of industry (SIC 2008) and size of company.

    Data available from: 2008 - 2009

    Status of the figures: The figures in this table are final.

    Changes as of 11 January 2019: None, this table is discontinued.

    When will new figures be published? Not applicable anymore.

  18. w

    Dataset of book subjects that contain Building e-commerce sites with...

    • workwithdata.com
    Updated Nov 7, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Work With Data (2024). Dataset of book subjects that contain Building e-commerce sites with VirtueMart cookbook : over 90 recipes to help you build an attractive, profitable, and fully-featured e-commerce store with VirtueMart [Dataset]. https://www.workwithdata.com/datasets/book-subjects?f=1&fcol0=j0-book&fop0=%3D&fval0=Building+e-commerce+sites+with+VirtueMart+cookbook+:+over+90+recipes+to+help+you+build+an+attractive%2C+profitable%2C+and+fully-featured+e-commerce+store+with+VirtueMart&j=1&j0=books
    Explore at:
    Dataset updated
    Nov 7, 2024
    Dataset authored and provided by
    Work With Data
    License

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

    Description

    This dataset is about book subjects. It has 3 rows and is filtered where the books is Building e-commerce sites with VirtueMart cookbook : over 90 recipes to help you build an attractive, profitable, and fully-featured e-commerce store with VirtueMart. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.

  19. The Artificial Intelligence in Retail Market size was USD 4951.2 Million in...

    • cognitivemarketresearch.com
    pdf,excel,csv,ppt
    Updated Apr 30, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Cognitive Market Research (2025). The Artificial Intelligence in Retail Market size was USD 4951.2 Million in 2023 [Dataset]. https://www.cognitivemarketresearch.com/artificial-intelligence-in-retail-market-report
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Apr 30, 2025
    Dataset authored and provided by
    Cognitive Market Research
    License

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

    Time period covered
    2021 - 2033
    Area covered
    Global
    Description

    According to Cognitive Market Research, the global Artificial Intelligence in Retail market size is USD 4951.2 million in 2023and will expand at a compound annual growth rate (CAGR) of 39.50% from 2023 to 2030.

    Enhanced customer personalization to provide viable market output
    Demand for online remains higher in Artificial Intelligence in the Retail market.
    The machine learning and deep learning category held the highest Artificial Intelligence in Retail market revenue share in 2023.
    North American Artificial Intelligence In Retail will continue to lead, whereas the Asia-Pacific Artificial Intelligence In Retail market will experience the most substantial growth until 2030.
    

    Enhanced Customer Personalization to Provide Viable Market Output

    A primary driver of Artificial Intelligence in the Retail market is the pursuit of enhanced customer personalization. A.I. algorithms analyze vast datasets of customer behaviors, preferences, and purchase history to deliver highly personalized shopping experiences. Retailers leverage this insight to offer tailored product recommendations, targeted marketing campaigns, and personalized promotions. The drive for superior customer personalization not only enhances customer satisfaction but also increases engagement and boosts sales. This focus on individualized interactions through A.I. applications is a key driver shaping the dynamic landscape of A.I. in the retail market.

    January 2023 - Microsoft and digital start-up AiFi worked together to offer Smart Store Analytics. It is a cloud-based tracking solution that helps merchants with operational and shopper insights for intelligent, cashierless stores.

    Source-techcrunch.com/2023/01/10/aifi-microsoft-smart-store-analytics/

    Improved Operational Efficiency to Propel Market Growth
    

    Another pivotal driver is the quest for improved operational efficiency within the retail sector. A.I. technologies streamline various aspects of retail operations, from inventory management and demand forecasting to supply chain optimization and cashier-less checkout systems. By automating routine tasks and leveraging predictive analytics, retailers can enhance efficiency, reduce costs, and minimize errors. The pursuit of improved operational efficiency is a key motivator for retailers to invest in AI solutions, enabling them to stay competitive, adapt to dynamic market conditions, and meet the evolving demands of modern consumers in the highly competitive artificial intelligence (AI) retail market.

    January 2023 - The EY Retail Intelligence solution, which is based on Microsoft Cloud, was introduced by the Fintech business EY to give customers a safe and efficient shopping experience. In order to deliver insightful information, this solution makes use of Microsoft Cloud for Retail and its technologies, which include image recognition, analytics, and artificial intelligence (A.I.).

    Source-www.ey.com/en_gl/news/2023/01/ey-announces-launch-of-retail-solution-that-builds-on-the-microsoft-cloud-to-help-achieve-seamless-consumer-shopping-experiences

    Market Dynamics of the Artificial Intelligence in the Retail market

    Data Security Concerns to Restrict Market Growth
    

    A prominent restraint in Artificial Intelligence in the Retail market is the pervasive concern over data security. As retailers increasingly rely on A.I. to process vast amounts of customer data for personalized experiences, there is a growing apprehension regarding the protection of sensitive information. The potential for data breaches and cyberattacks poses a significant challenge, as retailers must navigate the delicate balance between utilizing customer data for AI-driven initiatives and safeguarding it against potential security threats. Addressing these concerns is crucial to building and maintaining consumer trust in A.I. applications within the retail sector.

    Impact of COVID–19 on the Artificial Intelligence in the Retail market

    The COVID-19 pandemic significantly influenced artificial intelligence in the retail market, accelerating the adoption of A.I. technologies across the industry. With lockdowns, social distancing measures, and a surge in online shopping, retailers turned to A.I. to navigate the challenges posed by the pandemic. AI-powered solutions played a crucial role in optimizing supply chain management, predicting shifts in consumer behavior, and enhancing e-commerce experiences. Retailers lever...

  20. Ecommerce Merchant Data | Retail Executives Worldwide | Verified Emails &...

    • datarade.ai
    Updated Oct 27, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Success.ai (2021). Ecommerce Merchant Data | Retail Executives Worldwide | Verified Emails & Phone Numbers for Global Leaders | Best Price Guaranteed [Dataset]. https://datarade.ai/data-products/ecommerce-merchant-data-retail-executives-worldwide-verif-success-ai
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Oct 27, 2021
    Dataset provided by
    Area covered
    Denmark, Papua New Guinea, Sint Eustatius and Saba, Saudi Arabia, Benin, Hungary, India, Nigeria, Aruba, Faroe Islands
    Description

    Success.ai’s B2B Contact Data and Ecommerce Merchant Data for Retail Executives Worldwide provides a powerful solution for businesses looking to connect with decision-makers in the retail industry. With access to over 170 million verified professional profiles, this dataset includes the contact information you need to build relationships with retail executives globally. Whether you're targeting C-level leaders, operations managers, or marketing heads, Success.ai’s data ensures precise and impactful outreach.

    Why Choose Success.ai’s Retail Executives Data?

    1. Comprehensive Contact Information:
    2. Gain access to verified work emails, direct phone numbers, and LinkedIn profiles of retail executives worldwide.
    3. Data is AI-validated to ensure 99% accuracy for all your outreach efforts.

    4. Global Reach Across Retail Sectors:

    5. Includes executives from sectors like e-commerce, fashion, grocery, electronics, and luxury goods.

    6. Covers regions such as North America, Europe, Asia-Pacific, South America, and the Middle East.

    7. Continuously Updated Datasets:

    8. Real-time updates ensure accurate and current information about retail professionals in leadership roles.

    9. Compliance You Can Trust:

    10. Fully adheres to GDPR, CCPA, and other global privacy regulations, ensuring ethical data use.

    Data Highlights: - 170M+ Verified Professional Profiles: Drawn from diverse industries, including retail. - 50M Work Emails: AI-validated for high accuracy and reliability. - 30M Company Profiles: Detailed insights to support targeted campaigns. - 700M Global Professional Profiles: Enriched datasets to meet broad business objectives.

    Key Features of the Dataset: - Retail Decision-Maker Profiles: Includes profiles of CEOs, CFOs, CMOs, buyers, and merchandising directors. - Advanced Filters for Targeting: Refine your search by location, role, revenue, or retail category for optimal results. - AI-Driven Insights: Enriches profiles with valuable data to personalize and enhance your outreach.

    Strategic Use Cases:

    1. Sales Outreach and Business Growth:
    2. Directly engage retail leaders with tailored pitches to introduce your products or services.
    3. Build relationships with executives who influence major purchasing decisions.

    4. Recruitment for Retail Talent:

    5. Identify top retail professionals to fill critical leadership roles.

    6. Connect with candidates using updated and accurate contact information.

    7. Targeted Marketing Campaigns:

    8. Craft highly personalized campaigns aimed at retail decision-makers.

    9. Leverage detailed contact data for better conversion rates.

    10. Retail Technology Solutions:

    11. Present technology solutions like POS systems, inventory tools, or e-commerce platforms to relevant retail executives.

    12. Build connections with leaders looking to innovate their businesses.

    Why Choose Success.ai?

    1. Best Price Guarantee: Access premium-quality contact data at competitive prices.
    2. Seamless Integration: Download the dataset or integrate it via API for easy access.
    3. AI-Validated Accuracy: Confidence in data quality with AI-driven validation for maximum reliability.
    4. Customizable and Scalable Datasets: Filter datasets based on your specific industry, region, or executive role requirements.

    APIs for Enhanced Functionality

    1. Data Enrichment API: Add verified retail executive profiles to your CRM for better targeting.
    2. Lead Generation API: Automate lead generation for retail-focused campaigns.

    Unlock opportunities with B2B Contact Data for Retail Executives Worldwide from Success.ai. This dataset includes verified emails, phone numbers, and decision-maker profiles for leaders in the retail industry.

    With continuously updated data and a Best Price Guarantee, Success.ai ensures you have everything you need to connect with global retail executives effectively. Contact us now to elevate your business with precise and reliable data!

    No one beats us on price. Period.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
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
Organization logo

Ecommerce Market Data | South-east Asia E-commerce Contacts | 170M Profiles | Verified Accuracy | Best Price Guarantee

Explore at:
.bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
Dataset provided by
Area covered
Philippines, Sri Lanka, Israel, Iraq, Yemen, Nepal, Timor-Leste, Syrian Arab Republic, Lebanon, Qatar, Asia, 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 ...
Search
Clear search
Close search
Google apps
Main menu