100+ datasets found
  1. T

    United States - Total Business Sales

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Feb 18, 2020
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    TRADING ECONOMICS (2020). United States - Total Business Sales [Dataset]. https://tradingeconomics.com/united-states/total-business-sales-mil-of-dollar-fed-data.html
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    excel, csv, xml, jsonAvailable download formats
    Dataset updated
    Feb 18, 2020
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    United States
    Description

    United States - Total Business Sales was 1733841.00000 Mil. of $ in February of 2025, according to the United States Federal Reserve. Historically, United States - Total Business Sales reached a record high of 1974148.00000 in December of 2024 and a record low of 478951.00000 in January of 1992. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Total Business Sales - last updated from the United States Federal Reserve on May of 2025.

  2. d

    Strategic Measure_Number of Small Businesses Per Capita, EOA.A.2

    • catalog.data.gov
    • data.austintexas.gov
    • +1more
    Updated Jan 25, 2025
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    data.austintexas.gov (2025). Strategic Measure_Number of Small Businesses Per Capita, EOA.A.2 [Dataset]. https://catalog.data.gov/dataset/strategic-measure-number-of-small-businesses-per-capita-eoa-a-2
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    Dataset updated
    Jan 25, 2025
    Dataset provided by
    data.austintexas.gov
    Description

    The dataset exists to observe the entrepreneurial activity of Austin over a long time period. The data comes from the U.S. Census County Business Pattern table and is capturing data at the Travis County level. It contains the cumulative count of firms by employee size and count of firms by employee size by industry. This data can be used to see changes of employer growth by industry; to project where workforce growth could be occurring; or to simply see how many small businesses there are in Austin. View more details and insights related to this data set on the story page: data.austintexas.gov/stories/s/ndb5-si22

  3. d

    Listing of Active Businesses

    • catalog.data.gov
    • data.lacity.org
    • +2more
    Updated Jun 21, 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
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    Dataset updated
    Jun 21, 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

  4. Types of small companies data compromised in the U.S. 2024

    • statista.com
    • ai-chatbox.pro
    Updated Jan 3, 2025
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    Statista (2025). Types of small companies data compromised in the U.S. 2024 [Dataset]. https://www.statista.com/statistics/1455225/companies-data-compromised-in-us/
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    Dataset updated
    Jan 3, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Aug 2024
    Area covered
    United States
    Description

    In a 2024 survey of small business leaders and IT professionals in the United States, 58 percent of respondents stated that employee data was their most compromised company data in cyberattacks. Additionally, 53 percent of respondents reported customer or consumer data as the second most impacted company data.

  5. Small Business Contact Data | North American Small Business Owners |...

    • datarade.ai
    Updated Oct 27, 2021
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    Success.ai (2021). Small Business Contact Data | North American Small Business Owners | Verified Contact Details from 170M Profiles | Best Price Guaranteed [Dataset]. https://datarade.ai/data-products/small-business-contact-data-north-american-small-business-o-success-ai
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Oct 27, 2021
    Dataset provided by
    Area covered
    Greenland, Mexico, Honduras, Panama, Saint Pierre and Miquelon, Belize, Bermuda, Guatemala, United States of America, Costa Rica
    Description

    Access B2B Contact Data for North American Small Business Owners with Success.ai—your go-to provider for verified, high-quality business datasets. This dataset is tailored for businesses, agencies, and professionals seeking direct access to decision-makers within the small business ecosystem across North America. With over 170 million professional profiles, it’s an unparalleled resource for powering your marketing, sales, and lead generation efforts.

    Key Features of the Dataset:

    Verified Contact Details

    Includes accurate and up-to-date email addresses and phone numbers to ensure you reach your targets reliably.

    AI-validated for 99% accuracy, eliminating errors and reducing wasted efforts.

    Detailed Professional Insights

    Comprehensive data points include job titles, skills, work experience, and education to enable precise segmentation and targeting.

    Enriched with insights into decision-making roles, helping you connect directly with small business owners, CEOs, and other key stakeholders.

    Business-Specific Information

    Covers essential details such as industry, company size, location, and more, enabling you to tailor your campaigns effectively. Ideal for profiling and understanding the unique needs of small businesses.

    Continuously Updated Data

    Our dataset is maintained and updated regularly to ensure relevance and accuracy in fast-changing market conditions. New business contacts are added frequently, helping you stay ahead of the competition.

    Why Choose Success.ai?

    At Success.ai, we understand the critical importance of high-quality data for your business success. Here’s why our dataset stands out:

    Tailored for Small Business Engagement Focused specifically on North American small business owners, this dataset is an invaluable resource for building relationships with SMEs (Small and Medium Enterprises). Whether you’re targeting startups, local businesses, or established small enterprises, our dataset has you covered.

    Comprehensive Coverage Across North America Spanning the United States, Canada, and Mexico, our dataset ensures wide-reaching access to verified small business contacts in the region.

    Categories Tailored to Your Needs Includes highly relevant categories such as Small Business Contact Data, CEO Contact Data, B2B Contact Data, and Email Address Data to match your marketing and sales strategies.

    Customizable and Flexible Choose from a wide range of filtering options to create datasets that meet your exact specifications, including filtering by industry, company size, geographic location, and more.

    Best Price Guaranteed We pride ourselves on offering the most competitive rates without compromising on quality. When you partner with Success.ai, you receive superior data at the best value.

    Seamless Integration Delivered in formats that integrate effortlessly with your CRM, marketing automation, or sales platforms, so you can start acting on the data immediately.

    Use Cases: This dataset empowers you to:

    Drive Sales Growth: Build and refine your sales pipeline by connecting directly with decision-makers in small businesses. Optimize Marketing Campaigns: Launch highly targeted email and phone outreach campaigns with verified contact data. Expand Your Network: Leverage the dataset to build relationships with small business owners and other key figures within the B2B landscape. Improve Data Accuracy: Enhance your existing databases with verified, enriched contact information, reducing bounce rates and increasing ROI. Industries Served: Whether you're in B2B SaaS, digital marketing, consulting, or any field requiring accurate and targeted contact data, this dataset serves industries of all kinds. It is especially useful for professionals focused on:

    Lead Generation Business Development Market Research Sales Outreach Customer Acquisition What’s Included in the Dataset: Each profile provides:

    Full Name Verified Email Address Phone Number (where available) Job Title Company Name Industry Company Size Location Skills and Professional Experience Education Background With over 170 million profiles, you can tap into a wealth of opportunities to expand your reach and grow your business.

    Why High-Quality Contact Data Matters: Accurate, verified contact data is the foundation of any successful B2B strategy. Reaching small business owners and decision-makers directly ensures your message lands where it matters most, reducing costs and improving the effectiveness of your campaigns. By choosing Success.ai, you ensure that every contact in your pipeline is a genuine opportunity.

    Partner with Success.ai for Better Data, Better Results: Success.ai is committed to delivering premium-quality B2B data solutions at scale. With our small business owner dataset, you can unlock the potential of North America's dynamic small business market.

    Get Started Today Request a sample or customize your dataset to fit your unique...

  6. N

    NYC Business Acceleration Businesses Served and Jobs Created

    • data.cityofnewyork.us
    • datasets.ai
    • +3more
    application/rdfxml +5
    Updated May 20, 2019
    + more versions
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    Department of Small Business Services (SBS) (2019). NYC Business Acceleration Businesses Served and Jobs Created [Dataset]. https://data.cityofnewyork.us/Business/NYC-Business-Acceleration-Businesses-Served-and-Jo/9b9u-8989
    Explore at:
    csv, application/rdfxml, application/rssxml, json, tsv, xmlAvailable download formats
    Dataset updated
    May 20, 2019
    Dataset authored and provided by
    Department of Small Business Services (SBS)
    Area covered
    New York
    Description

    The list tracks the number of businesses that NYC Business Acceleration has assisted in opening and how many jobs were created by those businesses. This data is up to date as of the date reflected in the "About" tab of this dataset.

  7. Online data selling practices among companies for U.S. kids and families...

    • statista.com
    Updated Nov 6, 2023
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    Statista (2023). Online data selling practices among companies for U.S. kids and families 2023 [Dataset]. https://www.statista.com/statistics/1421683/data-privacy-practices-companies-kids/
    Explore at:
    Dataset updated
    Nov 6, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    According to an analysis conducted in 2023 of over 200 companies targeting children and families in the United States, only 25 percent of the businesses had a privacy-protective mindset and did not sell data. Under the California Privacy Rights Act amendment, companies are supposed to disclose if they sell users' personal data. Around 13 percent of companies did not disclose whether they engaged in such practices.

  8. United States Employment: Management, Business & Financial Operations

    • ceicdata.com
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    CEICdata.com, United States Employment: Management, Business & Financial Operations [Dataset]. https://www.ceicdata.com/en/united-states/current-population-survey-employment/employment-management-business--financial-operations
    Explore at:
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    May 1, 2017 - Apr 1, 2018
    Area covered
    United States
    Variables measured
    Employment
    Description

    United States Employment: Management, Business & Financial Operations data was reported at 25,231.000 Person th in Jun 2018. This records a decrease from the previous number of 25,784.000 Person th for May 2018. United States Employment: Management, Business & Financial Operations data is updated monthly, averaging 19,605.000 Person th from Jan 1983 (Median) to Jun 2018, with 426 observations. The data reached an all-time high of 25,992.000 Person th in Mar 2018 and a record low of 11,609.000 Person th in Feb 1983. United States Employment: Management, Business & Financial Operations data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G013: Current Population Survey: Employment.

  9. U.S. companies compliance actions taken for state privacy laws 2022

    • statista.com
    Updated Apr 16, 2024
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    Statista (2024). U.S. companies compliance actions taken for state privacy laws 2022 [Dataset]. https://www.statista.com/statistics/1403338/us-companies-privacy-measures-implementation/
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    Dataset updated
    Apr 16, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 20, 2022 - May 5, 2022
    Area covered
    United States
    Description

    A survey conducted from April to May 2022 found that six in 10 organizations in the United States designated an internal project manager or owner to manage compliance with state-level privacy laws. Around half of the organizations conducted data mapping and had an understanding of data practices across the organization. A further 41 percent said they updated privacy policies, while 40 percent said they were in the process of doing so.

  10. Big data and business analytics revenue worldwide 2015-2022

    • statista.com
    Updated Nov 22, 2023
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    Statista (2023). Big data and business analytics revenue worldwide 2015-2022 [Dataset]. https://www.statista.com/statistics/551501/worldwide-big-data-business-analytics-revenue/
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    Dataset updated
    Nov 22, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    The global big data and business analytics (BDA) market was valued at 168.8 billion U.S. dollars in 2018 and is forecast to grow to 215.7 billion U.S. dollars by 2021. In 2021, more than half of BDA spending will go towards services. IT services is projected to make up around 85 billion U.S. dollars, and business services will account for the remainder. Big data High volume, high velocity and high variety: one or more of these characteristics is used to define big data, the kind of data sets that are too large or too complex for traditional data processing applications. Fast-growing mobile data traffic, cloud computing traffic, as well as the rapid development of technologies such as artificial intelligence (AI) and the Internet of Things (IoT) all contribute to the increasing volume and complexity of data sets. For example, connected IoT devices are projected to generate 79.4 ZBs of data in 2025. Business analytics Advanced analytics tools, such as predictive analytics and data mining, help to extract value from the data and generate business insights. The size of the business intelligence and analytics software application market is forecast to reach around 16.5 billion U.S. dollars in 2022. Growth in this market is driven by a focus on digital transformation, a demand for data visualization dashboards, and an increased adoption of cloud.

  11. F

    Number of Business Failures for United States

    • fred.stlouisfed.org
    json
    Updated Aug 17, 2012
    + more versions
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    (2012). Number of Business Failures for United States [Dataset]. https://fred.stlouisfed.org/series/M09028USM474NNBR
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Aug 17, 2012
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Area covered
    United States
    Description

    Graph and download economic data for Number of Business Failures for United States (M09028USM474NNBR) from Jan 1893 to Jan 1933 about failures, business, and USA.

  12. Qualified Nonmetropolitan County - Dataset - U.S. Small Business...

    • data.sba.gov
    • fanyv88.com
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    data.sba.gov, Qualified Nonmetropolitan County - Dataset - U.S. Small Business Administration (SBA) | Open Data [Dataset]. https://data.sba.gov/es/dataset/countydesignations
    Explore at:
    Dataset provided by
    Small Business Administrationhttps://www.sba.gov/
    License

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

    Area covered
    United States
    Description

    Only counties in nonmetropolitan areas may be eligible for HUBZone designated status. In order for a nonmetropolitan county to qualify: the median household income in the county must be less than 80% of the nonmetropolitan state median household income, or the unemployment rate in the county must be at least 140% of either the national or state unemployment rate, or the county is classified as a Difficult Development Area, as designated by HUD within Alaska, Hawaii, or any territory or possession of the United States, outside of the 48 contiguous states.

  13. T

    United States Nfib Business Optimism Index

    • tradingeconomics.com
    • ru.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 10, 2025
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    TRADING ECONOMICS (2025). United States Nfib Business Optimism Index [Dataset]. https://tradingeconomics.com/united-states/nfib-business-optimism-index
    Explore at:
    xml, csv, json, excelAvailable download formats
    Dataset updated
    Jun 10, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 31, 1975 - May 31, 2025
    Area covered
    United States
    Description

    NFIB Business Optimism Index in the United States increased to 98.80 points in May from 95.80 points in April of 2025. This dataset provides - United States Nfib Business Optimism Index - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  14. N

    DCA Business Data

    • data.cityofnewyork.us
    • data.wu.ac.at
    application/rdfxml +5
    Updated Jul 26, 2016
    + more versions
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    Department of Consumer and Worker Protection (DCWP) (2016). DCA Business Data [Dataset]. https://data.cityofnewyork.us/Business/DCA-Business-Data/faur-gd6t
    Explore at:
    application/rssxml, csv, tsv, application/rdfxml, xml, jsonAvailable download formats
    Dataset updated
    Jul 26, 2016
    Authors
    Department of Consumer and Worker Protection (DCWP)
    Description

    This data set features businesses/individuals holding a DCA license so that they may legally operate in New York City. Note: Sightseeing guides and temporary street fair vendors are not included in this data set.

  15. d

    US Restaurant POI dataset with metadata

    • datarade.ai
    .csv
    Updated Jul 30, 2022
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    Geolytica (2022). US Restaurant POI dataset with metadata [Dataset]. https://datarade.ai/data-products/us-restaurant-poi-dataset-with-metadata-geolytica
    Explore at:
    .csvAvailable download formats
    Dataset updated
    Jul 30, 2022
    Dataset authored and provided by
    Geolytica
    Area covered
    United States
    Description

    Point of Interest (POI) is defined as an entity (such as a business) at a ground location (point) which may be (of interest). We provide high-quality POI data that is fresh, consistent, customizable, easy to use and with high-density coverage for all countries of the world.

    This is our process flow:

    Our machine learning systems continuously crawl for new POI data
    Our geoparsing and geocoding calculates their geo locations
    Our categorization systems cleanup and standardize the datasets
    Our data pipeline API publishes the datasets on our data store
    

    A new POI comes into existence. It could be a bar, a stadium, a museum, a restaurant, a cinema, or store, etc.. In today's interconnected world its information will appear very quickly in social media, pictures, websites, press releases. Soon after that, our systems will pick it up.

    POI Data is in constant flux. Every minute worldwide over 200 businesses will move, over 600 new businesses will open their doors and over 400 businesses will cease to exist. And over 94% of all businesses have a public online presence of some kind tracking such changes. When a business changes, their website and social media presence will change too. We'll then extract and merge the new information, thus creating the most accurate and up-to-date business information dataset across the globe.

    We offer our customers perpetual data licenses for any dataset representing this ever changing information, downloaded at any given point in time. This makes our company's licensing model unique in the current Data as a Service - DaaS Industry. Our customers don't have to delete our data after the expiration of a certain "Term", regardless of whether the data was purchased as a one time snapshot, or via our data update pipeline.

    Customers requiring regularly updated datasets may subscribe to our Annual subscription plans. Our data is continuously being refreshed, therefore subscription plans are recommended for those who need the most up to date data. The main differentiators between us vs the competition are our flexible licensing terms and our data freshness.

    Data samples may be downloaded at https://store.poidata.xyz/us

  16. Company Financial Data | Private & Public Companies | Verified Profiles &...

    • datarade.ai
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    Success.ai, Company Financial Data | Private & Public Companies | Verified Profiles & Contact Data | Best Price Guaranteed [Dataset]. https://datarade.ai/data-products/b2b-contact-data-premium-us-contact-data-us-b2b-contact-d-success-ai
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset provided by
    Area covered
    Togo, Montserrat, Guam, Korea (Democratic People's Republic of), United Kingdom, Suriname, Antigua and Barbuda, Dominican Republic, Iceland, Georgia
    Description

    Success.ai offers a cutting-edge solution for businesses and organizations seeking Company Financial Data on private and public companies. Our comprehensive database is meticulously crafted to provide verified profiles, including contact details for financial decision-makers such as CFOs, financial analysts, corporate treasurers, and other key stakeholders. This robust dataset is continuously updated and validated using AI technology to ensure accuracy and relevance, empowering businesses to make informed decisions and optimize their financial strategies.

    Key Features of Success.ai's Company Financial Data:

    Global Coverage: Access data from over 70 million businesses worldwide, including public and private companies across all major industries and regions. Our datasets span 250+ countries, offering extensive reach for your financial analysis and market research.

    Detailed Financial Profiles: Gain insights into company financials, including revenue, profit margins, funding rounds, and operational costs. Profiles are enriched with key contact details, including work emails, phone numbers, and physical addresses, ensuring direct access to decision-makers.

    Industry-Specific Data: Tailored datasets for sectors such as financial services, manufacturing, technology, healthcare, and energy, among others. Each dataset is customized to meet the unique needs of industry professionals and analysts.

    Real-Time Accuracy: With continuous updates powered by AI-driven validation, our financial data maintains a 99% accuracy rate, ensuring you have access to the most reliable and up-to-date information available.

    Compliance and Security: All data is collected and processed in strict adherence to global compliance standards, including GDPR, ensuring ethical and lawful usage.

    Why Choose Success.ai for Company Financial Data?

    Best Price Guarantee: We pride ourselves on offering the most competitive pricing in the industry, ensuring you receive unparalleled value for comprehensive financial data.

    AI-Validated Accuracy: Our advanced AI algorithms meticulously verify every data point to ensure precision and reliability, helping you avoid costly errors in your financial decision-making.

    Customized Data Solutions: Whether you need data for a specific region, industry, or type of business, we tailor our datasets to align perfectly with your requirements.

    Scalable Data Access: From small startups to global enterprises, our platform caters to businesses of all sizes, delivering scalable solutions to suit your operational needs.

    Comprehensive Use Cases for Financial Data:

    1. Strategic Financial Planning:

    Leverage our detailed financial profiles to create accurate budgets, forecasts, and strategic plans. Gain insights into competitors’ financial health and market positions to make data-driven decisions.

    1. Mergers and Acquisitions (M&A):

    Access key financial details and contact information to streamline your M&A processes. Identify potential acquisition targets or partners with verified profiles and financial data.

    1. Investment Analysis:

    Evaluate the financial performance of public and private companies for informed investment decisions. Use our data to identify growth opportunities and assess risk factors.

    1. Lead Generation and Sales:

    Enhance your sales outreach by targeting CFOs, financial analysts, and other decision-makers with verified contact details. Utilize accurate email and phone data to increase conversion rates.

    1. Market Research:

    Understand market trends and financial benchmarks with our industry-specific datasets. Use the data for competitive analysis, benchmarking, and identifying market gaps.

    APIs to Power Your Financial Strategies:

    Enrichment API: Integrate real-time updates into your systems with our Enrichment API. Keep your financial data accurate and current to drive dynamic decision-making and maintain a competitive edge.

    Lead Generation API: Supercharge your lead generation efforts with access to verified contact details for key financial decision-makers. Perfect for personalized outreach and targeted campaigns.

    Tailored Solutions for Industry Professionals:

    Financial Services Firms: Gain detailed insights into revenue streams, funding rounds, and operational costs for competitor analysis and client acquisition.

    Corporate Finance Teams: Enhance decision-making with precise data on industry trends and benchmarks.

    Consulting Firms: Deliver informed recommendations to clients with access to detailed financial datasets and key stakeholder profiles.

    Investment Firms: Identify potential investment opportunities with verified data on financial performance and market positioning.

    What Sets Success.ai Apart?

    Extensive Database: Access detailed financial data for 70M+ companies worldwide, including small businesses, startups, and large corporations.

    Ethical Practices: Our data collection and processing methods are fully comp...

  17. U

    United States US: Total Business Enterprise R&D Personnel: Per Thousand...

    • ceicdata.com
    Updated Mar 15, 2023
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    CEICdata.com (2023). United States US: Total Business Enterprise R&D Personnel: Per Thousand Employment In Industry [Dataset]. https://www.ceicdata.com/en/united-states/number-of-researchers-and-personnel-on-research-and-development-oecd-member-annual/us-total-business-enterprise-rd-personnel-per-thousand-employment-in-industry
    Explore at:
    Dataset updated
    Mar 15, 2023
    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, 2011 - Dec 1, 2020
    Area covered
    United States
    Description

    United States US: Total Business Enterprise R&D Personnel: Per Thousand Employment In Industry data was reported at 17.169 Per 1000 in 2020. This records an increase from the previous number of 15.152 Per 1000 for 2019. United States US: Total Business Enterprise R&D Personnel: Per Thousand Employment In Industry data is updated yearly, averaging 13.282 Per 1000 from Dec 2011 (Median) to 2020, with 10 observations. The data reached an all-time high of 17.169 Per 1000 in 2020 and a record low of 12.478 Per 1000 in 2012. United States US: Total Business Enterprise R&D Personnel: Per Thousand Employment In Industry data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s United States – Table US.OECD.MSTI: Number of Researchers and Personnel on Research and Development: OECD Member: Annual.

    For the UnitedStates, in the business sector, the funds from the rest of the world previously included in the business-financed BERD, are available separately from 2008.
    From 2006 onwards, GOVERD includes state government intramural performance (most of which being financed by the federal government and state government own funds). From 2016 onwards, PNPERD data are based on a new R&D performer survey. In the higher education sector all fields of SSH are included from 2003 onwards.
    Following a survey of federally-funded research and development centers (FFRDCs) in 2005, it was concluded that FFRDC R&D belongs in the government sector - rather than the sector of the FFRDC administrator, as had been reported in the past. R&D expenditures by FFRDCs were reclassified from the other three R&D performing sectors to the Government sector; previously published data were revised accordingly.
    Between 2003 and 2004, the method used to classify data by industry has been revised. This particularly affects the ISIC category 'wholesale trade' and consequently the BERD for total services. U.S. R&D data are generally comparable, but there are some areas of underestimation:i) Up to 2008, Government sector R&D performance covers only federal government activities.
    That by State and local government establishments is excluded;
    ii) Except for the Government and the Business Enterprise sectors, the R&D data exclude most capital expenditures.
    For the Business Enterprise sector, depreciation is reported in place of gross capital expenditures up to 2014. Higher education (and national total) data were revised back to 1998 due to an improved methodology that corrects for double-counting of R&D funds passed between institutions.Breakdown by type of R&D (basic research, applied research, etc.) was also revised back to 1998 in the business enterprise and higher education sectors due to improved estimation procedures.The methodology for estimating researchers was changed as of 1985.
    In the Government, Higher Education and PNP sectors the data since then refer to employed doctoral scientists and engineers who report their primary work activity as research, development or the management of R&D, plus, for the Higher Education sector, the number of full-time equivalent graduate students with research assistantships averaging an estimated 50 % of their time engaged in R&D activities.
    As of 1985 researchers in the Government sector exclude military personnel. As of 1987, Higher education R&D personnel also include those who report their primary work activity as design.Due to lack of official data for the different employment sectors, the total researchers figure is an OECD estimate up to 2019. Comprehensive reporting of R&D personnel statistics by the United States has resumed with records available since 2020, reflecting the addition of official figures for the number of researchers and total R&D personnel for the higher education sector and the Private non-profit sector; as well as the number of researchers for the government sector.
    The new data revise downwards previous OECD estimates as the OECD extrapolation methods drawing on historical US data, required to produce a consistent OECD aggregate, appear to have previously overestimated the growth in the number of researchers in the higher education sector.Pre-production development is excluded from Defence GBARD (in accordance with the Frascati Manual) as of 2000.
    2009 GBARD data also includes the one time incremental R&D funding legislated in the American Recovery and Reinvestment Act of 2009. Beginning with the 2000 GBARD data, budgets for capital expenditure - 'R&D plant' in national terminology - are included. GBARD data for earlier years relate to budgets for current costs only.
    ;

    Definition of MSTI variables 'Value Added of Industry' and 'Industrial Employment':

    R&D data are typically expressed as a percentage of GDP to allow cross-country comparisons. When compiling such indicators for the business enterprise sector, one may wish to exclude, from GDP measures, economic activities for which the Business R&D (BERD) is null or negligible by definition. By doing so, the adjusted denominator (GDP, or Value Added, excluding non-relevant industries) better correspond to the numerator (BERD) with which it is compared to.

    The MSTI variable 'Value added in industry' is used to this end:

    It is calculated as the total Gross Value Added (GVA) excluding 'real estate activities' (ISIC rev.4 68) where the 'imputed rent of owner-occupied dwellings', specific to the framework of the System of National Accounts, represents a significant share of total GVA and has no R&D counterpart. Moreover, the R&D performed by the community, social and personal services is mainly driven by R&D performers other than businesses.

    Consequently, the following service industries are also excluded: ISIC rev.4 84 to 88 and 97 to 98. GVA data are presented at basic prices except for the People's Republic of China, Japan and New Zealand (expressed at producers' prices).In the same way, some indicators on R&D personnel in the business sector are expressed as a percentage of industrial employment. The latter corresponds to total employment excluding ISIC rev.4 68, 84 to 88 and 97 to 98.

  18. Cyber incidents experienced by U.S. companies 2024

    • statista.com
    • ai-chatbox.pro
    Updated Oct 15, 2024
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    Statista (2024). Cyber incidents experienced by U.S. companies 2024 [Dataset]. https://www.statista.com/statistics/1455155/types-of-cyber-attacks-companies-in-the-us/
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    Dataset updated
    Oct 15, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Aug 2024
    Area covered
    United States
    Description

    According to a 2024 survey of small business leaders and IT professionals in the United States, ** percent of small companies experienced both security breaches and data breaches in the examined year. In comparison, ** percent of companies reported not having suffered from any of these cyberattacks.

  19. U

    US Data Center Industry Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Dec 16, 2024
    + more versions
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    Data Insights Market (2024). US Data Center Industry Report [Dataset]. https://www.datainsightsmarket.com/reports/us-data-center-industry-11517
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    ppt, doc, pdfAvailable download formats
    Dataset updated
    Dec 16, 2024
    Dataset authored and provided by
    Data Insights Market
    License

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

    Time period covered
    2025 - 2033
    Area covered
    United States
    Variables measured
    Market Size
    Description

    The size of the US Data Center Industry market was valued at USD XX Million in 2023 and is projected to reach USD XXX Million by 2032, with an expected CAGR of 6.00% during the forecast period.A data center is a facility that keeps computer systems and networking equipment housed, processing, and transmitting data. It represents the infrastructure on which organizations carry out their IT operations and host websites, email servers, and database servers. Data centers, therefore, are imperative to any size business: small start-ups or large enterprise since they enable digital transformation, thus making business applications available.The US data center industry is one of the largest and most developed in the world. The country boasts robust digital infrastructure, abundant energy resources, and a highly skilled workforce, making it an attractive destination for data center operators. Some of the drivers of the US data center market are the growing trend of cloud computing, internet of things (IoT), and high-performance computing requirements.Top-of-the-line technology companies along with cloud service providers set up major data center footprints in the US, mostly in key regions such as Silicon Valley and Northern Virginia, Dallas, for example. These data centers support applications such as e-commerce-a manner of accessing streaming services-whose development depends on its artificial intelligence financial service type. As demand increases concerning data center capacity, therefore, the US data centre industry will continue to prosper as the world's hub for reliable and scalable solutions. Recent developments include: February 2023: The expansion of Souther Telecom to its data center in Atlanta, Georgia, at 345 Courtland Street, was announced by H5 Data Centers, a colocation and wholesale data center operator. One of the top communication service providers in the southeast is Southern Telecom. Customers in Alabama, Georgia, Florida, and Mississippi will receive better service due to the expansion of this low-latency fiber optic network.December 2022: DigitalBridge Group, Inc. and IFM Investors announced completing their previously announced transaction in which funds affiliated with the investment management platform of DigitalBridge and an affiliate of IFM Investors acquired all outstanding common shares of Switch, Inc. for USD approximately USD 11 billion, including the repayment of outstanding debt.October 2022: Three additional data centers in Charlotte, Nashville, and Louisville have been made available to Flexential's cloud customers, according to the supplier of data center colocation, cloud computing, and connectivity. By the end of the year, clients will have access to more than 220MW of hybrid IT capacity spread across 40 data centers in 19 markets, which is well aligned with Flexential's 2022 ambition to add 33MW of new, sustainable data center development projects.. Key drivers for this market are: , High Mobile penetration, Low Tariff, and Mature Regulatory Authority; Successful Privatization and Liberalization Initiatives. Potential restraints include: , Difficulties in Customization According to Business Needs. Notable trends are: OTHER KEY INDUSTRY TRENDS COVERED IN THE REPORT.

  20. d

    Success.ai | Corporate Data from LinkedIn | 700M Public Profiles & 70M...

    • datarade.ai
    Updated Nov 23, 2023
    + more versions
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    Success.ai (2023). Success.ai | Corporate Data from LinkedIn | 700M Public Profiles & 70M Companies – Best Price Guarantee [Dataset]. https://datarade.ai/data-categories/corporate-data/datasets
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    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Nov 23, 2023
    Dataset provided by
    Success.ai
    Area covered
    Bulgaria, Comoros, Åland Islands, Mali, Mauritania, Cook Islands, Sudan, Lesotho, Saint Pierre and Miquelon, Sao Tome and Principe
    Description

    Success.ai’s LinkedIn Data Solutions provide unparalleled access to a comprehensive dataset of 700 million public LinkedIn profiles and 70 million company records. This vast collection of corporate data is essential for businesses aiming to enhance recruitment, lead generation, and personalized B2B marketing campaigns.

    Our LinkedIn data offerings are designed to streamline your operations, whether you’re enhancing CRM systems with up-to-date LinkedIn profile data, refining email address data for targeted outreach, or utilizing UK B2B data for expansive market reach. Every dataset includes detailed insights across more than 40 critical data points per profile, encompassing education, professional history, and specialized skills.

    • Global Reach: Access data across industries globally, including detailed insights on 259M profiles in the USA and 22M in the UK.
    • Real-Time Updates: Profiles updated daily to provide the most current data, helping you make informed business decisions quickly.
    • AI-Verified Accuracy: Rigorous data validation ensures 99% accuracy, offering you reliability in data-driven strategies.
    • Ethical Data Sourcing: Compliance with GDPR and other global privacy standards ensures responsible data utilization.
    • Tailored Data Solutions: Our white-glove service customizes data delivery, catering to specific business requirements without the need for you to navigate complex platforms.

    Why Success.ai stands out:

    • Best Price Guarantee: We confidently beat any competitor’s pricing, ensuring you receive the best deal for comprehensive LinkedIn data.
    • Comprehensive Corporate Coverage: From small business contact data to extensive corporate profiles, we cover all bases.
    • Flexible Data Integration: Receive data in formats that seamlessly integrate into your systems, enhancing both efficiency and productivity.
    • Dedicated Support: Our Success Managers ensure a hassle-free experience by managing the data curation and delivery process for you.

    Key Use Cases:

    • Sales Prospecting: Utilize detailed corporate data to build precise lead lists and engage with decision-makers effectively.
    • Recruitment: Access up-to-date employee data to identify and attract top talent worldwide.
    • Account-Based Marketing (ABM): Leverage detailed firmographic data to create highly personalized marketing campaigns targeted at key accounts.
    • Market Research: Use comprehensive industry data to gain insights into market trends and competitor strategies.
    • CRM Enrichment: Enhance your CRM with real-time data updates, maintaining the accuracy and relevance of your sales and marketing tools.

    Start transforming your business strategies with Success.ai’s LinkedIn Data Solutions today. Contact us to customize your dataset and leverage our best price guarantee along with our specialized personal service to propel your business forward with confidence.

    No one beats us on price. Period.

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TRADING ECONOMICS (2020). United States - Total Business Sales [Dataset]. https://tradingeconomics.com/united-states/total-business-sales-mil-of-dollar-fed-data.html

United States - Total Business Sales

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excel, csv, xml, jsonAvailable download formats
Dataset updated
Feb 18, 2020
Dataset authored and provided by
TRADING ECONOMICS
License

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

Time period covered
Jan 1, 1976 - Dec 31, 2025
Area covered
United States
Description

United States - Total Business Sales was 1733841.00000 Mil. of $ in February of 2025, according to the United States Federal Reserve. Historically, United States - Total Business Sales reached a record high of 1974148.00000 in December of 2024 and a record low of 478951.00000 in January of 1992. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Total Business Sales - last updated from the United States Federal Reserve on May of 2025.

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