100+ datasets found
  1. d

    B2B Data Full Record Purchase | 80MM Total Universe B2B Contact Data Mailing...

    • datarade.ai
    .xml, .csv, .xls
    Updated Feb 22, 2025
    + more versions
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    McGRAW (2025). B2B Data Full Record Purchase | 80MM Total Universe B2B Contact Data Mailing List [Dataset]. https://datarade.ai/data-products/b2b-data-full-record-purchase-80mm-total-universe-b2b-conta-mcgraw
    Explore at:
    .xml, .csv, .xlsAvailable download formats
    Dataset updated
    Feb 22, 2025
    Dataset authored and provided by
    McGRAW
    Area covered
    Myanmar, Guinea-Bissau, Namibia, Burkina Faso, Zimbabwe, Uzbekistan, Niue, Anguilla, United Arab Emirates, Swaziland
    Description

    McGRAW’s US B2B Data: Accurate, Reliable, and Market-Ready

    Our B2B database delivers over 80 million verified contacts with 95%+ accuracy. Supported by in-house call centers, social media validation, and market research teams, we ensure that every record is fresh, reliable, and optimized for B2B outreach, lead generation, and advanced market insights.

    Our B2B database is one of the most accurate and extensive datasets available, covering over 91 million business executives with a 95%+ accuracy guarantee. Designed for businesses that require the highest quality data, this database provides detailed, validated, and continuously updated information on decision-makers and industry influencers worldwide.

    The B2B Database is meticulously curated to meet the needs of businesses seeking precise and actionable data. Our datasets are not only extensive but also rigorously validated and updated to ensure the highest level of accuracy and reliability.

    Key Data Attributes:

    • Personal Identifiers: First name, last name
    • Professional Details: Title, direct dial numbers
    • Business Information: Company name, address, phone number, fax number, website
    • Company Metrics: Employee size, sales volume
    • Technology Insights: Information on hardware and software usage across organizations
    • Social Media Connections: LinkedIn, Facebook, and direct dial contacts
    • Corporate Insights: Detailed company profiles

    Unlike many providers that rely solely on third-party vendor files, McGRAW takes a hands-on approach to data validation. Our dedicated nearshore and offshore call centers engage directly with data before each delivery to ensure every record meets our high standards of accuracy and relevance.

    In addition, our teams of social media validators, market researchers, and digital marketing specialists continuously refine and update records to maintain data freshness. Each dataset undergoes multiple verification checks using internal validation processes and third-party tools such as Fresh Address, BriteVerify, and Impressionwise to guarantee the highest data quality.

    Additional Data Solutions and Services

    • Data Enhancement: Email and LinkedIn appends, contact discovery across global roles and functions

    • Business Verification: Real-time validation through call centers, social media, and market research

    • Technology Insights: Detailed IT infrastructure reports, spending trends, and executive insights

    • Healthcare Database: Access to over 80 million healthcare professionals and industry leaders

    • Global Reach: US and international GDPR-compliant datasets, complete with email, postal, and phone contacts

    • Email Broadcast Services: Full-service campaign execution, from testing to live deployment, with tracking of key engagement metrics such as opens and clicks

    Many B2B data providers rely on vendor-contributed files without conducting the rigorous validation necessary to ensure accuracy. This often results in outdated and unreliable data that fails to meet the demands of a fast-moving business environment.

    McGRAW takes a different approach. By owning and operating dedicated call centers, we directly verify and validate our data before delivery, ensuring that every record is up-to-date and ready to drive business success.

    Through continuous validation, social media verification, and real-time updates, McGRAW provides a high-quality, dependable database for businesses that prioritize data integrity and performance. Our Global Business Executives database is the ideal solution for companies that need accurate, relevant, and market-ready data to fuel their strategies.

  2. Business Data United States of America / Company B2B Data United States of...

    • datarade.ai
    Updated Jan 26, 2022
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    Techsalerator (2022). Business Data United States of America / Company B2B Data United States of America ( Full Coverage) [Dataset]. https://datarade.ai/data-products/56-million-companies-in-united-states-of-america-full-cover-techsalerator
    Explore at:
    .json, .csv, .xls, .txtAvailable download formats
    Dataset updated
    Jan 26, 2022
    Dataset provided by
    Techsalerator LLC
    Authors
    Techsalerator
    Area covered
    United States
    Description

    With 56 Million Businesses in the United States of America, Techsalerator has access to the highest B2B count of Data/ Business Data in the country.

    Thanks to our unique tools and large data specialist team, we are able to select the ideal targeted dataset based on the unique elements such as sales volume of a company, the company's location, no. of employees etc...

    Whether you are looking for an entire fill install, access to our API's or if you are just looking for a one-time targeted purchase, get in touch with our company and we will fulfill your international data need.

    We cover all states and cities in the country : Example covered.

    All states :

    Alabama Alaska Arizona Arkansas California Colorado Connecticut Delaware Florida Georgia Hawaii Idaho IllinoisIndiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri MontanaNebraska Nevada New Hampshire New Jersey New Mexico New York North Carolina North Dakota Ohio Oklahoma Oregon PennsylvaniaRhode Island South Carolina South Dakota Tennessee Texas Utah Vermont Virginia Washington West Virginia Wisconsin Wyoming

    A few cities : New York City NY Los Angeles CA Chicago IL Houston TX Phoenix AZ Philadelphia PA San Antonio TX San Diego CA Dallas TX Austin TX San Jose CA Fort Worth TX Jacksonville FL Columbus OH Charlotte NC Indianapolis IN San Francisco CA Seattle WA Denver CO Washington DC Boston MA El Paso TX Nashville TN Oklahoma City OK Las Vegas NV Detroit MI Portland OR Memphis TN Louisville KY Milwaukee WI Baltimore MD Albuquerque NM Tucson AZ Mesa AZ Fresno CA Sacramento CA Atlanta GA Kansas City MO Colorado Springs CO Raleigh NC Omaha NE Miami FL Long Beach CA Virginia Beach VA Oakland CA Minneapolis MN Tampa FL Tulsa OK Arlington TX Wichita KS Bakersfield CA Aurora CO New Orleans LA Cleveland OH Anaheim CA Henderson NV Honolulu HI Riverside CA Santa Ana CA Corpus Christi TX Lexington KY San Juan PR Stockton CA St. Paul MN Cincinnati OH Greensboro NC Pittsburgh PA Irvine CA St. Louis MO Lincoln NE Orlando FL Durham NC Plano TX Anchorage AK Newark NJ Chula Vista CA Fort Wayne IN Chandler AZ Toledo OH St. Petersburg FL Reno NV Laredo TX Scottsdale AZ North Las Vegas NV Lubbock TX Madison WI Gilbert AZ Jersey City NJ Glendale AZ Buffalo NY Winston-Salem NC Chesapeake VA Fremont CA Norfolk VA Irving TX Garland TX Paradise NV Arlington VA Richmond VA Hialeah FL Boise ID Spokane WA Frisco TX Moreno Valley CA Tacoma WA Fontana CA Modesto CA Baton Rouge LA Port St. Lucie FL San Bernardino CA McKinney TX Fayetteville NC Santa Clarita CA Des Moines IA Oxnard CA Birmingham AL Spring Valley NV Huntsville AL Rochester NY Cape Coral FL Tempe AZ Grand Rapids MI Yonkers NY Overland Park KS Salt Lake City UT Amarillo TX Augusta GA Columbus GA Tallahassee FL Montgomery AL Huntington Beach CA Akron OH Little Rock AR Glendale CA Grand Prairie TX Aurora IL Sunrise Manor NV Ontario CA Sioux Falls SD Knoxville TN Vancouver WA Mobile AL Worcester MA Chattanooga TN Brownsville TX Peoria AZ Fort Lauderdale FL Shreveport LA Newport News VA Providence RI Elk Grove CA Rancho Cucamonga CA Salem OR Pembroke Pines FL Santa Rosa CA Eugene OR Oceanside CA Cary NC Fort Collins CO Corona CA Enterprise NV Garden Grove CA Springfield MO Clarksville TN Bayamon PR Lakewood CO Alexandria VA Hayward CA Murfreesboro TN Killeen TX Hollywood FL Lancaster CA Salinas CA Jackson MS Midland TX Macon County GA Kansas City KS Palmdale CA Sunnyvale CA Springfield MA Escondido CA Pomona CA Bellevue WA Surprise AZ Naperville IL Pasadena TX Denton TX Roseville CA Joliet IL Thornton CO McAllen TX Paterson NJ Rockford IL Carrollton TX Bridgeport CT Miramar FL Round Rock TX Metairie LA Olathe KS Waco TX

  3. Business Data Turkey / Company B2B Data Turkey ( Full Coverage)

    • datarade.ai
    Updated Mar 12, 2022
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    Techsalerator (2022). Business Data Turkey / Company B2B Data Turkey ( Full Coverage) [Dataset]. https://datarade.ai/data-products/1-2-million-companies-in-turkey-full-coverage-techsalerator
    Explore at:
    .json, .csv, .xls, .txtAvailable download formats
    Dataset updated
    Mar 12, 2022
    Dataset provided by
    Techsalerator LLC
    Authors
    Techsalerator
    Area covered
    Turkey
    Description

    With 1.2 Million Businesses in Turkey, Techsalerator has access to the highest B2B count of Data/Business Data in the country. .

    Thanks to our unique tools and large data specialist team, we can select the ideal targeted dataset based on the unique elements such as sales volume of a company, the company's location, no. of employees etc...

    Whether you are looking for an entire fill install, access to our API's or if you are just looking for a one-time targeted purchase, get in touch with our company and we will fulfill your international data need.

    We cover all regions and cities in the country:

    Aegean Region Aegean Region Aegean Section Edremit Area Bakirçay Area Gediz Area Izmir Area Küçük Menderes Area Büyük Menderes Area Mentese Area Inner Western Anatolia Section

    Blacksea Region Black Sea Region Western Black Sea Section Inner Black Sea Area Küre Mountains Area Central Black Sea Section Canik Mountains Area Inner Central Black Sea Area Eastern Black Sea Section Eastern Black Sea Coast Area Upper Kelkit - Çoruh Gully

    Central Anatolia Region Central Anatolia Region Konya Section Obruk [tr] Plateau Konya - Eregli Vicinity Upper Sakarya Section Ankara Area Porsuk Gully Sündiken Mountain Chain Area Upper Sakarya Area Konya - Eregli Vicinity Middle Kizilirmak Section Upper Kizilirmak Section

    Eastern Anatolia Region Eastern Anatolia Region Upper Euphrates Section Erzurum - Kars Section Upper Murat - Van Section Upper Murat Area Van Area Hakkari Section

    Marmara Region Marmara Region Çatalca - Kocaeli Section Adapazari Area Istanbul Area Ergene Section Southern Marmara Section Biga - Gallipoli Area Bursa Area Karesi Area Samanli Area Yildiz Section

    Mediterranean Region Mediterranean Region Adana Section Çukurova - Taurus Mountains Area Antakya - Kahramanmaras Area Antalya Section Antalya Area Göller Area Taseli - Mut Area Teke Area

    Southeastern Anatolia Region Southeastern Anatolia Region Middle Euphrates Section Gaziantep Area Sanliurfa Area Tigris Section Diyarbakir Area Mardin - Midyat Area

  4. e

    E-commerce buying and selling at businesses;company size and branch...

    • data.europa.eu
    atom feed, json
    Updated Jul 24, 2024
    + more versions
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    (2024). E-commerce buying and selling at businesses;company size and branch 2008-2009 [Dataset]. https://data.europa.eu/data/datasets/240-e-commerce-in-en-verkoop-bij-bedrijven-bedrijfsgrootte-en-tak-2008-2009
    Explore at:
    atom feed, jsonAvailable download formats
    Dataset updated
    Jul 24, 2024
    License

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

    Description

    This table provides figures on the use of information and communication technology (ICT) by companies. This is specifically about the extent to which companies use external networks, including the internet, for e-commerce (in and sale). The table shows how much percent of the total purchase value and what percentage of total revenue is realised through the use of external networks.

    The data relate to companies with 10 and more employees. The data are broken down by industry (SBI2008) and company size.

    Data available from 2008 to 2009

    Status of the figures: 2008 to 2009 are final figures.

    Changes as of 11 January 2019: None, table has been discontinued.

    When will there be new figures? No longer applicable.

  5. LinkedIn Datasets

    • brightdata.com
    .json, .csv, .xlsx
    Updated Dec 17, 2021
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    Bright Data (2021). LinkedIn Datasets [Dataset]. https://brightdata.com/products/datasets/linkedin
    Explore at:
    .json, .csv, .xlsxAvailable download formats
    Dataset updated
    Dec 17, 2021
    Dataset authored and provided by
    Bright Datahttps://brightdata.com/
    License

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

    Area covered
    Worldwide
    Description

    Unlock the full potential of LinkedIn data with our extensive dataset that combines profiles, company information, and job listings into one powerful resource for business decision-making, strategic hiring, competitive analysis, and market trend insights. This all-encompassing dataset is ideal for professionals, recruiters, analysts, and marketers aiming to enhance their strategies and operations across various business functions. Dataset Features

    Profiles: Dive into detailed public profiles featuring names, titles, positions, experience, education, skills, and more. Utilize this data for talent sourcing, lead generation, and investment signaling, with a refresh rate ensuring up to 30 million records per month. Companies: Access comprehensive company data including ID, country, industry, size, number of followers, website details, subsidiaries, and posts. Tailored subsets by industry or region provide invaluable insights for CRM enrichment, competitive intelligence, and understanding the startup ecosystem, updated monthly with up to 40 million records. Job Listings: Explore current job opportunities detailed with job titles, company names, locations, and employment specifics such as seniority levels and employment functions. This dataset includes direct application links and real-time application numbers, serving as a crucial tool for job seekers and analysts looking to understand industry trends and the job market dynamics.

    Customizable Subsets for Specific Needs Our LinkedIn dataset offers the flexibility to tailor the dataset according to your specific business requirements. Whether you need comprehensive insights across all data points or are focused on specific segments like job listings, company profiles, or individual professional details, we can customize the dataset to match your needs. This modular approach ensures that you get only the data that is most relevant to your objectives, maximizing efficiency and relevance in your strategic applications. Popular Use Cases

    Strategic Hiring and Recruiting: Track talent movement, identify growth opportunities, and enhance your recruiting efforts with targeted data. Market Analysis and Competitive Intelligence: Gain a competitive edge by analyzing company growth, industry trends, and strategic opportunities. Lead Generation and CRM Enrichment: Enrich your database with up-to-date company and professional data for targeted marketing and sales strategies. Job Market Insights and Trends: Leverage detailed job listings for a nuanced understanding of employment trends and opportunities, facilitating effective job matching and market analysis. AI-Driven Predictive Analytics: Utilize AI algorithms to analyze large datasets for predicting industry shifts, optimizing business operations, and enhancing decision-making processes based on actionable data insights.

    Whether you are mapping out competitive landscapes, sourcing new talent, or analyzing job market trends, our LinkedIn dataset provides the tools you need to succeed. Customize your access to fit specific needs, ensuring that you have the most relevant and timely data at your fingertips.

  6. U.S. marketing data spend 2024-2025

    • statista.com
    Updated May 22, 2025
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    Statista (2025). U.S. marketing data spend 2024-2025 [Dataset]. https://www.statista.com/statistics/818881/usa-marketing-data-spend/
    Explore at:
    Dataset updated
    May 22, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    United States
    Description

    The U.S. marketing data market was valued at 25.1 billion U.S. dollars in 2024, and it was expected to grow to 26.1 billion in 2025. In the same period, spending on data services (identity resolution analytics, measurement, attribution, and data layer integration) is forecast to increase from 7.6 to 7.9 billion dollars.

  7. Business Data United Arab Emirates / Company B2B Data United Arab Emirates (...

    • datarade.ai
    Updated Mar 9, 2022
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    Techsalerator (2022). Business Data United Arab Emirates / Company B2B Data United Arab Emirates ( Full Coverage) [Dataset]. https://datarade.ai/data-products/501-000-companies-in-united-arab-emirates-full-coverage-techsalerator
    Explore at:
    .json, .csv, .xls, .txtAvailable download formats
    Dataset updated
    Mar 9, 2022
    Dataset provided by
    Techsalerator LLC
    Authors
    Techsalerator
    Area covered
    United Arab Emirates
    Description

    With 501,000 Businesses in the United Arab Emirates, Techsalerator has access to the highest B2B count of Data in the country.

    Thanks to our unique tools and large data specialist team, we are able to select the ideal targeted dataset based on the unique elements such as sales volume of a company, the company's location, no. of employees etc...

    Whether you are looking for an entire fill install, access to our API's or if you are just looking for a one-time targeted purchase, get in touch with our company and we will fulfill your international data need.

  8. Areas acquiring business benefits from Big Data in France 2016

    • statista.com
    Updated Jun 1, 2016
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    Statista (2016). Areas acquiring business benefits from Big Data in France 2016 [Dataset]. https://www.statista.com/statistics/1088538/big-data-areas-benefiting-business-france/
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    Dataset updated
    Jun 1, 2016
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2016
    Area covered
    France
    Description

    This graph illustrates the main areas for which Big Data generated business benefits in France in 2016. That year, more than half of the companies questioned said that Big Data generated business benefits in the area of customer knowledge and experience .

  9. Media Buying Agencies in the US - Market Research Report (2015-2030)

    • ibisworld.com
    Updated Mar 15, 2025
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    IBISWorld (2025). Media Buying Agencies in the US - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/united-states/market-research-reports/media-buying-agencies-industry/
    Explore at:
    Dataset updated
    Mar 15, 2025
    Dataset authored and provided by
    IBISWorld
    License

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

    Time period covered
    2015 - 2030
    Area covered
    United States
    Description

    The emergence of new media and the shift away from traditional media toward digital services has particularly prompted a change in media buying strategies. Since almost all companies are undergoing a digital transformation, media buying agencies must specialize in online advertising to adapt to the changing media landscape. Data-driven insights and programmatic advertising have propelled the industry forward. With rising consumer spending and corporate profit, businesses increasingly pour more resources into advertising to capture larger market shares. Media buying agencies have been riding this wave, capitalizing on the surging demand. Media Buying Agencies revenue has increased at a CAGR of 3.3% to a total of $13.8 billion in 2025, including an estimated 1.9% in the current year, while profit reaches 6.5%. The industry has witnessed rapid transformation driven by digital innovation and shifting consumer behaviors. Advertisers have gravitated toward digital platforms, spurred by the drastic transition from traditional media. This shift resulted in digital spending overtaking traditional media investments, with giants like Facebook, Google, and Amazon capturing significant market shares. The emergence of programmatic ad buying and data analytics has revolutionized how agencies target audiences, allowing for more precise and efficient campaigns. Amid this evolution, consolidation among major players like Omnicom and WPP has heightened competition, pushing smaller firms toward niche markets or out of the industry altogether. These dynamics have underscored the importance of adapting to technological advancements and economic changes to remain competitive. Over the next five years, businesses are poised to increase their advertising budgets to capitalize on rising consumer activity, providing significant opportunities for media buying agencies. The phase-out of third-party cookies and increasing emphasis on first-party data will drive agencies to focus on privacy-compliant strategies, while AI-driven programmatic advertising will continue to transform the industry. Agencies will expand services, offering integrated, multi-channel strategies and leveraging influencer marketing to tap into niche markets. The expansion of digital platforms has given access to niche markets that were harder to reach in the past. Companies increasingly turn to media buying agencies to seek integrated marketing solutions that harness cross-platform potential, driving revenue growth. Nonetheless, the proliferation of digital ad space, declining prices and waning demand for traditional advertising will limit industry growth. Overall, industry revenue is poised to hike at a CAGR of 1.8% to $15.1 billion in 2030.

  10. Data from: Owler Dataset

    • brightdata.com
    .json, .csv, .xlsx
    Updated Sep 11, 2022
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    Bright Data (2022). Owler Dataset [Dataset]. https://brightdata.com/products/datasets/owler
    Explore at:
    .json, .csv, .xlsxAvailable download formats
    Dataset updated
    Sep 11, 2022
    Dataset authored and provided by
    Bright Datahttps://brightdata.com/
    License

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

    Area covered
    Worldwide
    Description

    Use our Owler companies dataset, a sales intelligence and business information research company, to map your ecosystem, and find market trends and investment opportunities. Access a database of competitors, revenue, employees, and funding for any company. Depending on your needs, you may purchase the entire dataset or a customized subset. The Owler companies information dataset offers public information on all companies listed in Owler. The dataset includes all major data points: Company size Revenue News Key executives Location Website and more. Freshness configuration: monthly refreshes refresh rate of up to 8 million records a month

  11. Purchase Real-Time eCommerce Leads List | Gain Direct Access to Store Owners...

    • datacaptive.com
    Updated May 23, 2022
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    DataCaptive™ (2022). Purchase Real-Time eCommerce Leads List | Gain Direct Access to Store Owners | 40+ Data Points | Lifetime Access | DataCaptive [Dataset]. https://www.datacaptive.com/technology-users-email-list/ecommerce-company-data/
    Explore at:
    Dataset updated
    May 23, 2022
    Dataset provided by
    DataCaptive
    Authors
    DataCaptive™
    Area covered
    Georgia, Sweden, Spain, United Kingdom, Jordan, Singapore, Canada, France, Finland, Bahrain
    Description

    Unlock the door to business expansion by investing in our real-time eCommerce leads list. Gain direct access to store owners and make informed decisions with data fields including Store Name, Website, Contact First Name, Contact Last Name, Email Address, Physical Address, City, State, Country, Zip Code, Phone Number, Revenue Size, Employee Size, and more on demand.

    Ensure a lifetime of access for continuous growth and tailor your campaigns with accurate and reliable information, initiating targeted efforts that align with your marketing goals. Whether you're targeting specific industries or global locations, our database provides up-to-date and valuable insights to support your business journey.

    • 4M+ eCommerce Companies • 40M+ Worldwide eCommerce Leads • Direct Contact Info for Shop Owners • 47+ eCommerce Platforms • 40+ Data Points • Lifetime Access • 10+ Data Segmentations • Sample Data

  12. Clothing companies' use of data and technology tools to plan and buy orders...

    • statista.com
    Updated May 23, 2025
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    Statista (2025). Clothing companies' use of data and technology tools to plan and buy orders 2022 [Dataset]. https://www.statista.com/statistics/1360128/clothing-companies-data-and-technology-tools-to-buy-orders/
    Explore at:
    Dataset updated
    May 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jul 13, 2022 - Sep 9, 2022
    Area covered
    Worldwide
    Description

    The most popular data used by apparel, footwear, and accessories companies to plan and buy orders was historical sales data, according to a 2022 survey. The second most common response was excel spreadsheets, which half of executives at such companies said they used.

  13. p

    Diamond Buyers in Ireland - 6 Verified Listings Database

    • poidata.io
    csv, excel, json
    Updated Jun 22, 2025
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    Poidata.io (2025). Diamond Buyers in Ireland - 6 Verified Listings Database [Dataset]. https://www.poidata.io/report/diamond-buyer/ireland
    Explore at:
    csv, excel, jsonAvailable download formats
    Dataset updated
    Jun 22, 2025
    Dataset provided by
    Poidata.io
    Area covered
    Ireland
    Description

    Comprehensive dataset of 6 Diamond buyers in Ireland as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

  14. d

    Listing of Active Businesses

    • catalog.data.gov
    • data.lacity.org
    • +2more
    Updated Jun 29, 2025
    + more versions
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    data.lacity.org (2025). Listing of Active Businesses [Dataset]. https://catalog.data.gov/dataset/listing-of-active-businesses
    Explore at:
    Dataset updated
    Jun 29, 2025
    Dataset provided by
    data.lacity.org
    Description

    Listing of all active businesses currently registered with the Office of Finance. An "active" business is defined as a registered business whose owner has not notified the Office of Finance of a cease of business operations. Update Interval: Monthly. NAICS Codes are from 2007 NAICS: https://www.census.gov/cgi-bin/sssd/naics/naicsrch?chart=2007

  15. p

    Diamond Buyers in Austria - 13 Verified Listings Database

    • poidata.io
    csv, excel, json
    Updated Jul 15, 2025
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    Poidata.io (2025). Diamond Buyers in Austria - 13 Verified Listings Database [Dataset]. https://www.poidata.io/report/diamond-buyer/austria
    Explore at:
    json, csv, excelAvailable download formats
    Dataset updated
    Jul 15, 2025
    Dataset provided by
    Poidata.io
    Area covered
    Austria
    Description

    Comprehensive dataset of 13 Diamond buyers in Austria as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

  16. e

    Companies House - Free Company Data Product

    • data.europa.eu
    • cloud.csiss.gmu.edu
    html
    Updated Sep 24, 2021
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    London Borough of Barnet (2021). Companies House - Free Company Data Product [Dataset]. https://data.europa.eu/data/datasets/companies-house-free-company-data-product
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Sep 24, 2021
    Dataset authored and provided by
    London Borough of Barnet
    Description

    Provided by Companies House - London and Barnet data can be extracted

    What is it?

    The Free Company Data Product is a downloadable data snapshot containing basic company data of live companies on the register. This snapshot is provided as ZIP files containing data in CSV format and is split into multiple files for ease of downloading.

    This snapshot is provided free of charge and will not be supported.

    When will it be updated?

    The latest snapshot will be updated within 5 working days of the previous month end.

    Additional Information

    The contents of the snapshot have been compiled up to the end of the previous month.

    A list of the data fields contained in the snapshot can be found here PDF.

    Up-to-date company information can be obtained by following the URI links in the data. More details on URIs

    If files are viewed with Microsoft Excel, it is recommended that you use version 2007 or later.

    Company Data Product FAQs

  17. C

    E-commerce, purchase and sales at companies; company size and branch...

    • ckan.mobidatalab.eu
    Updated Apr 12, 2023
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    OverheidNl (2023). E-commerce, purchase and sales at companies; company size and branch (SBI'93) [Dataset]. https://ckan.mobidatalab.eu/dataset/1696-e-commerce-buying-and-selling-with-companies-company-size-and-branch-sbi-93
    Explore at:
    http://publications.europa.eu/resource/authority/file-type/json, http://publications.europa.eu/resource/authority/file-type/atomAvailable download formats
    Dataset updated
    Apr 12, 2023
    Dataset provided by
    OverheidNl
    License

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

    Description

    This table provides figures on the use of information and communication technology (ICT) by companies. This specifically concerns the extent to which companies use external networks, including the Internet, for e-commerce (purchasing and sales). The table shows what percentage of the total purchase value and what percentage of the total turnover is realized through the use of external networks. The data relate to companies with 10 or more employed persons (for the years 1999-2001: companies with 10 or more employees). The data is broken down by sector (SBI'93) and company size. Data available from: 1999 Change as of 17-03-2010: The table has been discontinued. Status of the figures: The figures for the period 1999-2007 are final. When will new numbers come out? N/A

  18. Business Data Mexico / Company B2B Data Mexico ( Full Coverage)

    • datarade.ai
    Updated Feb 18, 2022
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    Techsalerator (2022). Business Data Mexico / Company B2B Data Mexico ( Full Coverage) [Dataset]. https://datarade.ai/data-products/1-7-million-companies-in-mexico-full-coverage-techsalerator
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    .json, .csv, .xls, .txtAvailable download formats
    Dataset updated
    Feb 18, 2022
    Dataset provided by
    Techsalerator LLC
    Authors
    Techsalerator
    Area covered
    Mexico
    Description

    With 1.7 Million Businesses in Mexico , Techsalerator has access to the highest B2B count of Data/Business Data in the country.

    Thanks to our unique tools and large data specialist team, we can select the ideal targeted dataset based on the unique elements such as sales volume of a company, the company's location, no. of employees etc...

    Whether you are looking for an entire fill install, access to our API's or if you are just looking for a one-time targeted purchase, get in touch with our company and we will fulfill your international data need.

    We cover all regions and cities in the country: Aguascalientes Aguascalientes Baja California Ensenada Mexicali Tijuana Baja California Sur La Paz Campeche Campeche Chiapas Comitán San Cristóbal de Las Casas Tapachula Tuxtla Chihuahua Casas Grandes Chihuahua Ciudad Delicias Hidalgo del Parral Juárez Nuevo Casas Grandes Coahuila Ciudad Acuña Monclova Múzquiz Nueva Rosita Piedras Negras Sabinas Saltillo San Pedro Torreón Villa Frontera Colima Colima Manzanillo Tecomán Durango Durango Gómez Palacio Federal District (administrative district) Atzcapotzalco (delegación) Churubusco (neighbourhood) Coyoacán (delegación) Magdalena (delegación) Mexico City Tlalpan (delegación) Villa Obregón (delegación) Xochimilco (delegación) Guanajuato Acámbaro Celaya Cortazar Guanajuato Irapuato León Moroleón Salamanca San Francisco del Rincón San Miguel de Allende Silao Valle de Santiago Guerrero Acapulco Chilpancingo Iguala Taxco Hidalgo Pachuca Tulancingo Jalisco Ameca Arandas Autlán Ciudad Guzmán Guadalajara La Barca Ocotlán Puerto Vallarta Tepatitlán Tlaquepaque Zapopan México Nezahualcóyotl Tlalnepantla Toluca Michoacán Apatzingán Ciudad Hidalgo La Piedad Cavadas Morelia Sahuayo Uruapan Zacapú Zamora Zitácuaro Morelos Cuernavaca Xochicalco Nayarit Tepic Nuevo León Guadalupe Monterrey Oaxaca Juchitán Oaxaca Puebla Atlixco Cholula Matamoros Puebla Teziutlán Querétaro Querétaro Quintana Roo Cancún Chetumal San Luis Potosí Matehuala San Luis Potosí Valles Sinaloa Culiacán Los Mochis Mazatlán Sonora Ciudad Obregón Guaymas Hermosillo Navojoa Nogales San Luis Tabasco Villahermosa Tamaulipas Ciudad Mante Ciudad Victoria Matamoros Nuevo Laredo Reynosa Tampico Tlaxcala Apizaco Tlaxcala Veracruz Ciudad Mendoza Coatzacoalcos Córdoba Cosamaloapan Minatitlán Orizaba Papantla Poza Rica San Andrés Tuxtla Tierra Blanca Tuxpan Veracruz Xalapa Yucatán Mérida Progreso Zacatecas Fresnillo Jerez de García Salinas Zacatecas

  19. d

    King County Commodities Buyers

    • catalog.data.gov
    • data.kingcounty.gov
    • +2more
    Updated Nov 29, 2021
    + more versions
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    data.kingcounty.gov (2021). King County Commodities Buyers [Dataset]. https://catalog.data.gov/dataset/king-county-commodities-buyers
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    Dataset updated
    Nov 29, 2021
    Dataset provided by
    data.kingcounty.gov
    Area covered
    King County
    Description

    Look up King County employees in charge of buying certain commodities and services. https://www.kingcounty.gov/depts/finance-business-operations/procurement/for-business/buyers.aspx

  20. e

    E-commerce, major bottlenecks in e-purchase from companies, 2000

    • data.europa.eu
    atom feed, json
    Updated Jul 23, 2024
    + more versions
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    (2024). E-commerce, major bottlenecks in e-purchase from companies, 2000 [Dataset]. https://data.europa.eu/data/datasets/1694-e-commerce-grote-knelpunten-bij-elektronische-inkoop-bij-bedrijven-2000/embed
    Explore at:
    json, atom feedAvailable download formats
    Dataset updated
    Jul 23, 2024
    License

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

    Description

    The automation survey 2000-2002 questionnaire contains two blocks with questions about potential bottlenecks when buying and selling electronically recorded. Of six purchasing bottlenecks, it could be indicated whether this ‘large’, ‘average’, ‘small’ or ‘not applicable’. The the question was: What is the significance of the following bottlenecks? the (further) development of the use of the internet/other electronic networks for the purchases of your company?' The results are in percentages per bottleneck showing the score per bottleneck ‘great’ is the numerator and the sum of all scores (from ‘great’ to ‘not from’ application') the denominator. Only companies with external data communication (internet or other external network) have been taken into account.

    Data available for the year 2000 Frequency: one-off

Share
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McGRAW (2025). B2B Data Full Record Purchase | 80MM Total Universe B2B Contact Data Mailing List [Dataset]. https://datarade.ai/data-products/b2b-data-full-record-purchase-80mm-total-universe-b2b-conta-mcgraw

B2B Data Full Record Purchase | 80MM Total Universe B2B Contact Data Mailing List

Explore at:
.xml, .csv, .xlsAvailable download formats
Dataset updated
Feb 22, 2025
Dataset authored and provided by
McGRAW
Area covered
Myanmar, Guinea-Bissau, Namibia, Burkina Faso, Zimbabwe, Uzbekistan, Niue, Anguilla, United Arab Emirates, Swaziland
Description

McGRAW’s US B2B Data: Accurate, Reliable, and Market-Ready

Our B2B database delivers over 80 million verified contacts with 95%+ accuracy. Supported by in-house call centers, social media validation, and market research teams, we ensure that every record is fresh, reliable, and optimized for B2B outreach, lead generation, and advanced market insights.

Our B2B database is one of the most accurate and extensive datasets available, covering over 91 million business executives with a 95%+ accuracy guarantee. Designed for businesses that require the highest quality data, this database provides detailed, validated, and continuously updated information on decision-makers and industry influencers worldwide.

The B2B Database is meticulously curated to meet the needs of businesses seeking precise and actionable data. Our datasets are not only extensive but also rigorously validated and updated to ensure the highest level of accuracy and reliability.

Key Data Attributes:

  • Personal Identifiers: First name, last name
  • Professional Details: Title, direct dial numbers
  • Business Information: Company name, address, phone number, fax number, website
  • Company Metrics: Employee size, sales volume
  • Technology Insights: Information on hardware and software usage across organizations
  • Social Media Connections: LinkedIn, Facebook, and direct dial contacts
  • Corporate Insights: Detailed company profiles

Unlike many providers that rely solely on third-party vendor files, McGRAW takes a hands-on approach to data validation. Our dedicated nearshore and offshore call centers engage directly with data before each delivery to ensure every record meets our high standards of accuracy and relevance.

In addition, our teams of social media validators, market researchers, and digital marketing specialists continuously refine and update records to maintain data freshness. Each dataset undergoes multiple verification checks using internal validation processes and third-party tools such as Fresh Address, BriteVerify, and Impressionwise to guarantee the highest data quality.

Additional Data Solutions and Services

  • Data Enhancement: Email and LinkedIn appends, contact discovery across global roles and functions

  • Business Verification: Real-time validation through call centers, social media, and market research

  • Technology Insights: Detailed IT infrastructure reports, spending trends, and executive insights

  • Healthcare Database: Access to over 80 million healthcare professionals and industry leaders

  • Global Reach: US and international GDPR-compliant datasets, complete with email, postal, and phone contacts

  • Email Broadcast Services: Full-service campaign execution, from testing to live deployment, with tracking of key engagement metrics such as opens and clicks

Many B2B data providers rely on vendor-contributed files without conducting the rigorous validation necessary to ensure accuracy. This often results in outdated and unreliable data that fails to meet the demands of a fast-moving business environment.

McGRAW takes a different approach. By owning and operating dedicated call centers, we directly verify and validate our data before delivery, ensuring that every record is up-to-date and ready to drive business success.

Through continuous validation, social media verification, and real-time updates, McGRAW provides a high-quality, dependable database for businesses that prioritize data integrity and performance. Our Global Business Executives database is the ideal solution for companies that need accurate, relevant, and market-ready data to fuel their strategies.

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