100+ datasets found
  1. T

    United States Stock Market Index Data

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +12more
    csv, excel, json, xml
    Updated Dec 2, 2025
    + more versions
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    TRADING ECONOMICS (2025). United States Stock Market Index Data [Dataset]. https://tradingeconomics.com/united-states/stock-market
    Explore at:
    excel, xml, json, csvAvailable download formats
    Dataset updated
    Dec 2, 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 3, 1928 - Dec 2, 2025
    Area covered
    United States
    Description

    The main stock market index of United States, the US500, rose to 6818 points on December 2, 2025, gaining 0.08% from the previous session. Over the past month, the index has declined 0.50%, though it remains 12.70% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from United States. United States Stock Market Index - values, historical data, forecasts and news - updated on December of 2025.

  2. F

    Quarterly Financial Report: U.S. Corporations: Paper: Net Working Capital

    • fred.stlouisfed.org
    json
    Updated Sep 9, 2025
    + more versions
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    (2025). Quarterly Financial Report: U.S. Corporations: Paper: Net Working Capital [Dataset]. https://fred.stlouisfed.org/series/QFRNWC322USNO
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 9, 2025
    License

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

    Area covered
    United States
    Description

    Graph and download economic data for Quarterly Financial Report: U.S. Corporations: Paper: Net Working Capital (QFRNWC322USNO) from Q4 2000 to Q2 2025 about paper, nondurable goods, finance, capital, Net, corporate, goods, manufacturing, industry, and USA.

  3. Time Series Economic Indicators Time Series -: Advance Report on Durable...

    • catalog.data.gov
    • s.cnmilf.com
    Updated Jul 19, 2023
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    U.S. Census Bureau (2023). Time Series Economic Indicators Time Series -: Advance Report on Durable Goods Manufacturers' Shipments, Inventories, and Orders [Dataset]. https://catalog.data.gov/dataset/time-series-economic-indicators-time-series-advance-report-on-durable-goods-manufacturers-
    Explore at:
    Dataset updated
    Jul 19, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Description

    The U.S. Census Bureau.s economic indicator surveys provide monthly and quarterly data that are timely, reliable, and offer comprehensive measures of the U.S. economy. These surveys produce a variety of statistics covering construction, housing, international trade, retail trade, wholesale trade, services and manufacturing. The survey data provide measures of economic activity that allow analysis of economic performance and inform business investment and policy decisions. Other data included, which are not considered principal economic indicators, are the Quarterly Summary of State & Local Taxes, Quarterly Survey of Public Pensions, and the Manufactured Homes Survey. For information on the reliability and use of the data, including important notes on estimation and sampling variance, seasonal adjustment, measures of sampling variability, and other information pertinent to the economic indicators, visit the individual programs' webpages - http://www.census.gov/cgi-bin/briefroom/BriefRm.

  4. T

    North America - Merchandise Exports By The Reporting Economy

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 10, 2017
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    TRADING ECONOMICS (2017). North America - Merchandise Exports By The Reporting Economy [Dataset]. https://tradingeconomics.com/north-america/merchandise-exports-by-the-reporting-economy-current-us$-wb-data.html
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    xml, csv, excel, jsonAvailable download formats
    Dataset updated
    Jun 10, 2017
    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
    North America
    Description

    Merchandise exports by the reporting economy (current US$) in North America was reported at 1821758937478 USD in 2020, according to the World Bank collection of development indicators, compiled from officially recognized sources. North America - Merchandise exports by the reporting economy - actual values, historical data, forecasts and projections were sourced from the World Bank on November of 2025.

  5. F

    Quarterly Financial Report: U.S. Corporations: All Information: Total Assets...

    • fred.stlouisfed.org
    json
    Updated Sep 9, 2025
    + more versions
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    (2025). Quarterly Financial Report: U.S. Corporations: All Information: Total Assets [Dataset]. https://fred.stlouisfed.org/series/QFR223INFUSNO
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    jsonAvailable download formats
    Dataset updated
    Sep 9, 2025
    License

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

    Area covered
    United States
    Description

    Graph and download economic data for Quarterly Financial Report: U.S. Corporations: All Information: Total Assets (QFR223INFUSNO) from Q4 2009 to Q2 2025 about information, finance, corporate, assets, industry, and USA.

  6. Business Information Resellers in the US - Market Research Report...

    • ibisworld.com
    Updated Jun 15, 2025
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    IBISWorld (2025). Business Information Resellers in the US - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/united-states/market-research-reports/business-information-resellers-industry/
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    Dataset updated
    Jun 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
    Description

    The Business Information Resellers industry has continued to grow as the need for market research has risen. Companies investing in product development typically invest in external information and analysis to ensure the success of perspective products. Business information resellers fill this gap, making money by gathering data, articles and research reports, then offering this content to clients, mostly through subscriptions. With research and development (R&D) on the rise across the economy, information access has become a hot commodity, strengthening core revenue channels for business information resellers. As a result, revenue is forecast to grow at a CAGR of 3.4% and is expected to reach $9.5 billion in 2025, including 11.5% in52024 alone.Business information resellers have thrived thanks to increased investment in R&D and advertising. Even though the COVID-19 pandemic triggered economic instability, the lingering uncertainty has fueled demand for their products. Recent uncertainty surrounding economic policy, namely tariffs, have had a similar effect. Software advancements have also simplified the process of obtaining and repackaging information, especially data. Additionally, favorable outsourcing trends have further bolstered their success. Consequently, profitability has continued to climb, nearing all-time highs.Robust growth in research and development spending will strengthen the core revenue channels for business information resellers, driving industry expansion. Additionally, rising total advertising expenditure and a growing percentage of online services will further enhance this growth. These trends will reshape the broader landscape, with more businesses seeking market information to fine-tune their advertising projects, particularly online. As major corporations continue to globalize, their information needs will become increasingly complex, boosting product development prospects. These positive developments are forecast to drive revenue grow at a CAGR of 1.4% to an estimated $9.5 billion. However, this growth will also intensify competition, pushing the industry toward further consolidation as smaller players get squeezed out of the fiercely competitive marketplace.

  7. T

    United States Corporate Profits

    • tradingeconomics.com
    • jp.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Sep 25, 2025
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    TRADING ECONOMICS (2025). United States Corporate Profits [Dataset]. https://tradingeconomics.com/united-states/corporate-profits
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    excel, xml, json, csvAvailable download formats
    Dataset updated
    Sep 25, 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
    Mar 31, 1947 - Jun 30, 2025
    Area covered
    United States
    Description

    Corporate Profits in the United States increased to 3259.41 USD Billion in the second quarter of 2025 from 3252.44 USD Billion in the first quarter of 2025. This dataset provides the latest reported value for - United States Corporate Profits - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  8. F

    Quarterly Financial Report: U.S. Corporations: Computer Systems Design and...

    • fred.stlouisfed.org
    json
    Updated Sep 9, 2025
    + more versions
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    (2025). Quarterly Financial Report: U.S. Corporations: Computer Systems Design and Related Services: Capital Stock and Other Capital (Less Treasury Stock) [Dataset]. https://fred.stlouisfed.org/series/QFRD326545USNO
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 9, 2025
    License

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

    Area covered
    United States
    Description

    Graph and download economic data for Quarterly Financial Report: U.S. Corporations: Computer Systems Design and Related Services: Capital Stock and Other Capital (Less Treasury Stock) (QFRD326545USNO) from Q4 2009 to Q2 2025 about legal, stocks, computers, professional, finance, capital, Treasury, corporate, services, industry, and USA.

  9. T

    United States Fed Funds Interest Rate

    • tradingeconomics.com
    • ko.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Nov 19, 2025
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    TRADING ECONOMICS (2025). United States Fed Funds Interest Rate [Dataset]. https://tradingeconomics.com/united-states/interest-rate
    Explore at:
    xml, excel, json, csvAvailable download formats
    Dataset updated
    Nov 19, 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
    Aug 4, 1971 - Oct 29, 2025
    Area covered
    United States
    Description

    The benchmark interest rate in the United States was last recorded at 4 percent. This dataset provides the latest reported value for - United States Fed Funds Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  10. Financial Data Service Providers in the US

    • ibisworld.com
    Updated Mar 30, 2020
    + more versions
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    IBISWorld (2020). Financial Data Service Providers in the US [Dataset]. https://www.ibisworld.com/united-states/market-size/financial-data-service-providers/5491/
    Explore at:
    Dataset updated
    Mar 30, 2020
    Dataset authored and provided by
    IBISWorld
    License

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

    Time period covered
    2005 - 2030
    Area covered
    United States
    Description

    Market Size statistics on the Financial Data Service Providers industry in the US

  11. D

    Selected Economic Characteristics (DP03)

    • data.seattle.gov
    • data-seattlecitygis.opendata.arcgis.com
    csv, xlsx, xml
    Updated Oct 22, 2024
    + more versions
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    (2024). Selected Economic Characteristics (DP03) [Dataset]. https://data.seattle.gov/dataset/Selected-Economic-Characteristics-DP03-/8qgt-awdb
    Explore at:
    xlsx, csv, xmlAvailable download formats
    Dataset updated
    Oct 22, 2024
    Description

    Data from: American Community Survey, 5-year Series


    King County, Washington census tracts with nonoverlapping vintages of the 5-year American Community Survey (ACS) estimates starting in 2010 from the U.S. Census Bureau's demographic profile of Selected Economic Characteristics (DP03). Also includes the most recent release annually with the vintage identified in the "ACS Vintage" field.

    The census tract boundaries match the vintage of the ACS data (currently 2010 and 2020) so please note the geographic changes between the decades.

    Tracts have been coded as being within the City of Seattle as well as assigned to neighborhood groups called "Community Reporting Areas". These areas were created after the 2000 census to provide geographically consistent neighborhoods through time for reporting U.S. Census Bureau data. This is not an attempt to identify neighborhood boundaries as defined by neighborhoods themselves.

    Vintages: 2010, 2015, 2020, 2021, 2022, 2023
    ACS Table(s): DP03


    The United States Census Bureau's American Community Survey (ACS):
    This ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. Please cite the Census and ACS when using this data.

    Data Note from the Census:
    Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.

    Data Processing Notes:
    • Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb(year)a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water

  12. U

    United States Tax Revenue: % of GDP

    • ceicdata.com
    Updated Sep 15, 2021
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    CEICdata.com (2021). United States Tax Revenue: % of GDP [Dataset]. https://www.ceicdata.com/en/indicator/united-states/tax-revenue--of-gdp
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    Dataset updated
    Sep 15, 2021
    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, 2013 - Dec 1, 2024
    Area covered
    United States
    Description

    Key information about US Tax revenue: % of GDP

    • United States Tax revenue: % of GDP was reported at 16.5 % in Dec 2024.
    • This records an increase from the previous number of 16.1 % for Dec 2023.
    • US Tax revenue: % of GDP data is updated yearly, averaging 18.0 % from Dec 1968 to 2024, with 57 observations.
    • The data reached an all-time high of 19.5 % in 2000 and a record low of 13.7 % in 2009.
    • US Tax revenue: % of GDP data remains active status in CEIC and is reported by CEIC Data.
    • The data is categorized under World Trend Plus’s Global Economic Monitor – Table: Tax Revenue: % of Nominal GDP: Annual.

    CEIC calculates annual Tax Revenue as % of Nominal GDP from monthly Tax Revenue and annual Nominal GDP. Tax Revenue is calculated as the sum of Individual Income Taxes, Corporation Income Taxes, Social Insurance Taxes, Excise Tax, Estate and Gift Taxes and Customs Duties. The Bureau of the Fiscal Service provides Tax Revenue in USD. The Bureau of Economic Analysis provides Nominal GDP in USD.

  13. U

    United States Private Sector Payroll: sa: 1000 & More Employees

    • ceicdata.com
    Updated Oct 15, 2025
    + more versions
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    CEICdata.com (2025). United States Private Sector Payroll: sa: 1000 & More Employees [Dataset]. https://www.ceicdata.com/en/united-states/adp-national-employment-report-new-methodology/private-sector-payroll-sa-1000--more-employees
    Explore at:
    Dataset updated
    Oct 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
    May 1, 2017 - Apr 1, 2018
    Area covered
    United States
    Variables measured
    Employment
    Description

    United States Private Sector Payroll: sa: 1000 & More Employees data was reported at 20,389.981 Person th in Oct 2018. This records an increase from the previous number of 20,317.451 Person th for Sep 2018. United States Private Sector Payroll: sa: 1000 & More Employees data is updated monthly, averaging 18,325.926 Person th from Mar 2001 (Median) to Oct 2018, with 212 observations. The data reached an all-time high of 21,121.000 Person th in Mar 2001 and a record low of 16,454.717 Person th in Mar 2010. United States Private Sector Payroll: sa: 1000 & More Employees data remains active status in CEIC and is reported by Automatic Data Processing Inc. The data is categorized under Global Database’s United States – Table US.G045: ADP National Employment Report: New Methodology.

  14. G

    Financial Data Feeds Market Research Report 2033

    • growthmarketreports.com
    csv, pdf, pptx
    Updated Aug 22, 2025
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    Growth Market Reports (2025). Financial Data Feeds Market Research Report 2033 [Dataset]. https://growthmarketreports.com/report/financial-data-feeds-market
    Explore at:
    pptx, csv, pdfAvailable download formats
    Dataset updated
    Aug 22, 2025
    Dataset authored and provided by
    Growth Market Reports
    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Financial Data Feeds Market Outlook



    According to our latest research, the global Financial Data Feeds market size reached USD 8.3 billion in 2024, driven by rapid digital transformation and increasing reliance on real-time analytics across financial sectors. The market is projected to expand at a robust CAGR of 8.7% from 2025 to 2033, culminating in a forecasted value of USD 17.3 billion by 2033. This strong growth trajectory is underpinned by the surging demand for accurate, timely, and comprehensive data to support trading, risk management, and regulatory compliance activities worldwide. As per our latest research, the proliferation of algorithmic trading, increasing regulatory requirements, and the rise of cloud-based solutions are significant growth drivers for the Financial Data Feeds market.




    One of the primary growth factors fueling the Financial Data Feeds market is the exponential rise in algorithmic and high-frequency trading. Financial institutions, asset managers, and hedge funds are increasingly leveraging sophisticated trading algorithms that require ultra-low latency, real-time data feeds to make split-second decisions. The competitive edge in today’s trading landscape is often determined by the speed and accuracy of data acquisition, analysis, and execution. This has led to a greater reliance on real-time and historical data feeds, compelling vendors to innovate and offer solutions that can handle vast data volumes with minimal latency. Additionally, the growing adoption of machine learning and artificial intelligence in trading strategies further amplifies the need for high-quality, granular data feeds, making this segment a cornerstone of market expansion.




    Another significant growth driver is the tightening regulatory environment across global financial markets. Regulatory bodies such as the SEC, ESMA, and MAS are enforcing stringent compliance and reporting standards, necessitating robust data management and transparency. Financial institutions must now source, process, and report vast amounts of reference and transactional data accurately and promptly to meet these mandates. This has led to increased investment in advanced financial data feed solutions that support compliance and regulatory reporting. Furthermore, the complexity of cross-border transactions and the emergence of new asset classes, including cryptocurrencies, have escalated the demand for diverse and comprehensive data feeds, propelling market growth.




    The ongoing digital transformation within the financial sector is also a pivotal factor driving the Financial Data Feeds market. As financial institutions migrate to cloud-based infrastructures and embrace digital-first strategies, the demand for flexible, scalable, and cost-efficient data delivery models has surged. Cloud-based data feeds offer significant advantages in terms of scalability, accessibility, and integration with other digital tools and platforms, enabling organizations to respond quickly to market shifts and customer needs. The integration of data feeds with advanced analytics, portfolio management, and risk assessment platforms is enabling financial firms to derive actionable insights, optimize decision-making, and enhance overall operational efficiency. This digital evolution is expected to further accelerate market growth in the coming years.




    From a regional perspective, North America continues to dominate the Financial Data Feeds market, accounting for the largest share in 2024, followed closely by Europe and Asia Pacific. The region’s leadership is attributed to the presence of major financial hubs, advanced technological infrastructure, and a high concentration of market participants. However, Asia Pacific is emerging as the fastest-growing region, with a notable CAGR driven by rapid financial sector development, regulatory modernization, and increasing adoption of digital trading platforms. Meanwhile, Europe is witnessing steady growth due to evolving regulatory frameworks and the rising importance of sustainable finance and ESG reporting. Latin America and the Middle East & Africa are also experiencing gradual growth, spurred by ongoing financial sector reforms and increased foreign investment.



  15. Digital news purchases worldwide 2025

    • statista.com
    Updated Nov 27, 2025
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    Statista (2025). Digital news purchases worldwide 2025 [Dataset]. https://www.statista.com/statistics/262348/digital-news-purchases-purchases-worldwide/
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    Dataset updated
    Nov 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    News audiences in Norway were the most likely to pay for online news according to a global study on paid digital news content consumption, with 42 percent having paid for news online in the last year. Ranked second was Sweden, followed by Switzerland, Australia, and Austria. With the changing media landscape leading to more and more consumers turning to digital sources to access the news, publishers are adding paywalls on their sites. However, not all consumers are equally inclined to pay for digital news content. Italy and UK news audiences for example were substantially less likely to pay for online news than U.S. consumers. Why pay for online news? The reasons for paying for news are diverse and dependent on various factors. The digitalization of news allows stories to be shared and disseminated on a global scale, but not all sources are reliable or credible. For consumers, it is often difficult to identify trustworthy news sources, and as such which sources they would happily pay for. Consumers may also be reluctant to pay for news because of the sheer amount of free content online. Whilst the availability of free content made news more accessible, at the same time this impacts journalists and publishers. In Finland for example, this has led to a correlated decrease in sales of printed content. As traditional print publications move online, there is also a growing reliance on advertising to generate revenue. Users are encouraged to pay for access to restricted material as publishers limit content to members only. Consumer’s willingness to pay was seen to be dependent on content, with Americans happier to pay for news than features or e-magazines. Impact of the coronavirus With the coronavirus pandemic forcing millions across the globe to stay at home, having access to digital news has never been more crucial, accordingly an increase of subscribers paying for premium news content could be expected. However the health crisis has also led to economic hardship for many, which may instead lead to people cutting out luxuries such as paid news subscriptions. In the UK for example, 2020 saw a decrease in people paying for news content compared to the previous year. With the pandemic dominating news reports, 2020 also saw audiences experience news fatigue, and after a year of news coverage saturated with coronavirus updates, consumers may feel the need to switch off entirely.

  16. d

    Marine Pollution Surveillance Reports in U.S. Exclusive Economic Zone and...

    • catalog.data.gov
    Updated Nov 1, 2025
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    (Point of Contact) (2025). Marine Pollution Surveillance Reports in U.S. Exclusive Economic Zone and its approaches from 2011-04-24 to 2024-12-27 (NCEI Accession 0292122) [Dataset]. https://catalog.data.gov/dataset/marine-pollution-surveillance-reports-in-u-s-exclusive-economic-zone-and-its-approaches-from-20
    Explore at:
    Dataset updated
    Nov 1, 2025
    Dataset provided by
    (Point of Contact)
    Description

    The Marine Pollution Surveillance Report (MPSR) is created manually in near real time by an operational analyst when an anomaly believed to be oil is identified in satellite imagery. Reports include the following information: Image date and time Satellite sensor, spatial resolution, and mode / polarization if applicable Report date and time Estimated surface area of the oil slick Confidence level based on internal criteria and practical experience Remarks and uncertainties Derived map products in JPEG format GIS files

  17. Securities Exchanges Market Analysis, Size, and Forecast 2025-2029: North...

    • technavio.com
    pdf
    Updated Jul 9, 2025
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    Technavio (2025). Securities Exchanges Market Analysis, Size, and Forecast 2025-2029: North America (US and Canada), Europe (France, Germany, Switzerland, and UK), APAC (China, Hong Kong, India, and Japan), and Rest of World (ROW) [Dataset]. https://www.technavio.com/report/securities-exchanges-market-analysis
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Jul 9, 2025
    Dataset provided by
    TechNavio
    Authors
    Technavio
    License

    https://www.technavio.com/content/privacy-noticehttps://www.technavio.com/content/privacy-notice

    Time period covered
    2025 - 2029
    Area covered
    Canada, United States
    Description

    Snapshot img

    Securities Exchanges Market Size 2025-2029

    The securities exchanges market size is forecast to increase by USD 56.67 billion at a CAGR of 12.5% between 2024 and 2029.

    The market is experiencing significant growth, driven by the increasing demand for investment opportunities. This trend is fueled by a global economic recovery and a rising interest in various asset classes, particularly in emerging markets. Another key driver is the increasing focus on sustainable and environmental, social, and governance (ESG) investing. This shift reflects a growing awareness of the importance of long-term value creation and the role of exchanges in facilitating socially responsible investments. This trend is driven by the expanding securities business units, including stocks, bonds, mutual funds, and other securities, which cater to the needs of investment firms and individual investors. However, the market is not without challenges. Increasing market volatility poses a significant risk for exchanges and their clients.
    Furthermore, the rapid digitization of trading and the emergence of alternative trading platforms are disrupting traditional exchange business models. To navigate these challenges, exchanges must adapt by investing in technology, expanding their product offerings, and building strong regulatory frameworks. Data analytics and big data are also crucial tools for e-brokerage firms to gain insights and make informed decisions. By doing so, they can capitalize on the market's growth potential and maintain their competitive edge. Geopolitical tensions, economic instability, and regulatory changes can all contribute to market fluctuations and uncertainty.
    

    What will be the Size of the Securities Exchanges Market during the forecast period?

    Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
    Request Free Sample

    In the dynamic market, financial instrument classification plays a crucial role in facilitating efficient trade matching through advanced execution quality metrics and order book liquidity. Quantitative trading models leverage options clearing corporation data to optimize portfolio holdings, while trade matching engines utilize high-speed data storage solutions and portfolio optimization algorithms to minimize latency and enhance market depth indicators. Data center infrastructure and network bandwidth capacity are essential components for supporting complex algorithmic trading strategies, including latency reduction and price volatility forecasting. Market impact measurement and risk assessment methodologies are integral to managing market impact and mitigating fraud, ensuring regulatory compliance through transaction reporting standards and regulatory compliance software.

    Exchange traded funds (ETFs) have gained popularity, necessitating robust quote dissemination systems and trade surveillance analytics. Server virtualization and cybersecurity threat mitigation strategies further strengthen the market's resilience, enabling seamless integration of data-driven quantitative models and sophisticated fraud detection algorithms. Additionally, users of online trading platforms can easily monitor the performance of their assets thanks to real-time stock data.

    How is this Securities Exchanges Industry segmented?

    The securities exchanges industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

    Service
    
      Market platforms
      Capital access platforms
      Others
    
    
    Trade Finance Instruments
    
      Equities
      Derivatives
      Bonds
      Exchange-traded funds
      Others
    
    
    Type
    
      Large-cap exchanges
      Mid-cap exchanges
      Small-cap exchanges
    
    
    Geography
    
      North America
    
        US
        Canada
    
    
      Europe
    
        France
        Germany
        Switzerland
        UK
    
    
      APAC
    
        China
        Hong Kong
        India
        Japan
    
    
      Rest of World (ROW)
    

    By Service Insights

    The Market platforms segment is estimated to witness significant growth during the forecast period. The market is characterized by advanced technologies and systems that enable efficient price discovery, manage settlement risk, and ensure regulatory compliance. Market platforms, which include trading platforms, order-matching systems, and market data dissemination, hold the largest share of the market. These platforms facilitate the buying and selling of securities, providing market liquidity and transparency. Real-time market surveillance and high-frequency trading infrastructure are crucial components, ensuring fair and orderly markets and enabling efficient trade execution. Financial modeling techniques and algorithmic trading platforms optimize trading strategies, while electronic communication networks and central counterparty clearing minimize r

  18. Financial Statements of U.S. Nonbank Subsidiaries of U.S. Holding Companies

    • catalog.data.gov
    • s.cnmilf.com
    Updated Dec 18, 2024
    + more versions
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    Board of Governors of the Federal Reserve System (2024). Financial Statements of U.S. Nonbank Subsidiaries of U.S. Holding Companies [Dataset]. https://catalog.data.gov/dataset/financial-statements-of-u-s-nonbank-subsidiaries-of-u-s-holding-companies
    Explore at:
    Dataset updated
    Dec 18, 2024
    Dataset provided by
    Federal Reserve Board of Governors
    Federal Reserve Systemhttp://www.federalreserve.gov/
    Area covered
    United States
    Description

    The Financial Statements of U.S. Nonbank Subsidiaries of U.S. Holding Companies (FR Y-11; FR Y-11S) reporting forms collect financial information for individual nonfunctional regulated U.S. nonbank subsidiaries of domestic holding companies, which is essential for monitoring the subsidiaries' potential impact on the condition of the holding company or its subsidiary banks. Holding companies file the FR Y-11 on a quarterly or annual basis or the FR Y-11S on an annual basis, predominantly based on whether the organization meets certain asset size thresholds. The FR Y-11 data are used with other holding company data to assess the condition of holding companies that are heavily engaged in nonbanking activities and to monitor the volume, nature, and condition of their nonbanking operations.

  19. T

    United States Non Farm Payrolls

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Nov 20, 2025
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    TRADING ECONOMICS (2025). United States Non Farm Payrolls [Dataset]. https://tradingeconomics.com/united-states/non-farm-payrolls
    Explore at:
    csv, xml, json, excelAvailable download formats
    Dataset updated
    Nov 20, 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
    Feb 28, 1939 - Sep 30, 2025
    Area covered
    United States
    Description

    Non Farm Payrolls in the United States increased by 119 thousand in September of 2025. This dataset provides the latest reported value for - United States Non Farm Payrolls - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  20. w

    Global Alternative Data High Tech & Emerging Market Research Report: By Data...

    • wiseguyreports.com
    Updated Oct 18, 2025
    + more versions
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    (2025). Global Alternative Data High Tech & Emerging Market Research Report: By Data Source (Social Media Data, Consumer Transaction Data, Satellite Imagery, Web Scraping Data, Public Records), By Application (Financial Analysis, Risk Management, Market Research, Investment Strategies), By End Use Sector (Financial Services, Healthcare, Retail, Telecommunications, Real Estate), By Data Type (Structured Data, Unstructured Data, Semi-Structured Data) and By Regional (North America, Europe, South America, Asia Pacific, Middle East and Africa) - Forecast to 2035 [Dataset]. https://www.wiseguyreports.com/reports/alternative-datahigh-tech-emerging-market
    Explore at:
    Dataset updated
    Oct 18, 2025
    License

    https://www.wiseguyreports.com/pages/privacy-policyhttps://www.wiseguyreports.com/pages/privacy-policy

    Time period covered
    Oct 25, 2025
    Area covered
    Global
    Description
    BASE YEAR2024
    HISTORICAL DATA2019 - 2023
    REGIONS COVEREDNorth America, Europe, APAC, South America, MEA
    REPORT COVERAGERevenue Forecast, Competitive Landscape, Growth Factors, and Trends
    MARKET SIZE 20249.47(USD Billion)
    MARKET SIZE 202510.34(USD Billion)
    MARKET SIZE 203525.0(USD Billion)
    SEGMENTS COVEREDData Source, Application, End Use Sector, Data Type, Regional
    COUNTRIES COVEREDUS, Canada, Germany, UK, France, Russia, Italy, Spain, Rest of Europe, China, India, Japan, South Korea, Malaysia, Thailand, Indonesia, Rest of APAC, Brazil, Mexico, Argentina, Rest of South America, GCC, South Africa, Rest of MEA
    KEY MARKET DYNAMICSdata volume growth, regulatory challenges, competitive landscape evolution, technology integration, investment increasing
    MARKET FORECAST UNITSUSD Billion
    KEY COMPANIES PROFILEDTableau, Microsoft Azure, CrowdStrike, SAP, Google Cloud, Oracle, Palantir Technologies, Splunk, Snowflake, Salesforce, Datadog, IBM, AWS, Twilio, NVIDIA
    MARKET FORECAST PERIOD2025 - 2035
    KEY MARKET OPPORTUNITIESAI-driven data analytics solutions, Real-time data integration platforms, Enhanced cybersecurity data services, Industry-specific alternative data solutions, Sustainable and ethical data sourcing
    COMPOUND ANNUAL GROWTH RATE (CAGR) 9.2% (2025 - 2035)
Share
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Click to copy link
Link copied
Close
Cite
TRADING ECONOMICS (2025). United States Stock Market Index Data [Dataset]. https://tradingeconomics.com/united-states/stock-market

United States Stock Market Index Data

United States Stock Market Index - Historical Dataset (1928-01-03/2025-12-02)

Explore at:
21 scholarly articles cite this dataset (View in Google Scholar)
excel, xml, json, csvAvailable download formats
Dataset updated
Dec 2, 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 3, 1928 - Dec 2, 2025
Area covered
United States
Description

The main stock market index of United States, the US500, rose to 6818 points on December 2, 2025, gaining 0.08% from the previous session. Over the past month, the index has declined 0.50%, though it remains 12.70% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from United States. United States Stock Market Index - values, historical data, forecasts and news - updated on December of 2025.

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