100+ datasets found
  1. Syndicated Loan Portfolios of Financial Institutions

    • catalog.data.gov
    Updated Dec 18, 2024
    + more versions
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    Board of Governors of the Federal Reserve System (2024). Syndicated Loan Portfolios of Financial Institutions [Dataset]. https://catalog.data.gov/dataset/syndicated-loan-portfolios-of-financial-institutions
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    Dataset updated
    Dec 18, 2024
    Dataset provided by
    Federal Reserve Systemhttp://www.federalreserve.gov/
    Description

    These tables provide an overview of the distribution of risk in syndicated loan portfolios of banks and other financial institutions. The tables summarize total exposures to syndicated loans, then break the data down by drawn credit lines, undrawn credit lines, and term loans.

  2. Syndicated Loan Deals and Transactions

    • lseg.com
    Updated Nov 25, 2024
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    LSEG (2024). Syndicated Loan Deals and Transactions [Dataset]. https://www.lseg.com/en/data-analytics/financial-data/deals-data/capital-raising-new-issuance/syndicated-loans-transaction-information
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    csv,pdf,python,text,user interfaceAvailable download formats
    Dataset updated
    Nov 25, 2024
    Dataset provided by
    London Stock Exchange Grouphttp://www.londonstockexchangegroup.com/
    Authors
    LSEG
    License

    https://www.lseg.com/en/policies/website-disclaimerhttps://www.lseg.com/en/policies/website-disclaimer

    Description

    Access LSEG's Syndicated Loan Deals and Transactions Data, providing a comprehensive view of syndicated loan markets.

  3. r

    Big Data Data Engineering Services Market Market Outlook to 2034 | Growth...

    • reportsanddata.com
    pdf,excel,csv,ppt
    Updated Jun 15, 2025
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    Reports and Data (2025). Big Data Data Engineering Services Market Market Outlook to 2034 | Growth Drivers & Share Forecast [Dataset]. https://www.reportsanddata.com/report-detail/big-data-data-engineering-services-market-
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Jun 15, 2025
    Dataset authored and provided by
    Reports and Data
    License

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

    Time period covered
    2024 - 2030
    Area covered
    Global
    Description

    Get detailed Big Data Data Engineering Services Market research reports featuring growth analysis and industry intelligence. Premium syndicated data for business strategy and investment decisions.

  4. A

    ‘Top syndicated pages from CDC.gov by weekly page views’ analyzed by...

    • analyst-2.ai
    Updated Feb 11, 2022
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2022). ‘Top syndicated pages from CDC.gov by weekly page views’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/data-gov-top-syndicated-pages-from-cdc-gov-by-weekly-page-views-c773/8f1324c3/?iid=005-519&v=presentation
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    Dataset updated
    Feb 11, 2022
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

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

    Description

    Analysis of ‘Top syndicated pages from CDC.gov by weekly page views’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/f60a8a0a-01c4-42b1-a899-8d6b8e14ba4a on 11 February 2022.

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

    The CDC Content Syndication site at https://tools.cdc.gov/syndication/ allows you to import content from CDC websites directly into your own website or application. These services are provided free of charge from CDC. The data shown in this table represent the weekly top page views from CDC.gov offered by syndication.

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

  5. F

    Life Insurance Companies, General Accounts; Syndicated Loans to Nonfinancial...

    • fred.stlouisfed.org
    json
    Updated Mar 13, 2025
    + more versions
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    (2025). Life Insurance Companies, General Accounts; Syndicated Loans to Nonfinancial Corporate Business; Asset, Transactions [Dataset]. https://fred.stlouisfed.org/series/BOGZ1FA543069873A
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    jsonAvailable download formats
    Dataset updated
    Mar 13, 2025
    License

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

    Description

    Graph and download economic data for Life Insurance Companies, General Accounts; Syndicated Loans to Nonfinancial Corporate Business; Asset, Transactions (BOGZ1FA543069873A) from 1946 to 2024 about syndication, general accounts, life, transactions, insurance, nonfinancial, business, assets, and USA.

  6. Top syndicated pages from CDC.gov by weekly page views

    • healthdata.gov
    • data.virginia.gov
    • +4more
    application/rdfxml +5
    Updated Feb 25, 2021
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    data.cdc.gov (2021). Top syndicated pages from CDC.gov by weekly page views [Dataset]. https://healthdata.gov/CDC/Top-syndicated-pages-from-CDC-gov-by-weekly-page-v/84z6-68fz
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    tsv, application/rdfxml, csv, application/rssxml, json, xmlAvailable download formats
    Dataset updated
    Feb 25, 2021
    Dataset provided by
    data.cdc.gov
    Description

    The CDC Content Syndication site at https://tools.cdc.gov/syndication/ allows you to import content from CDC websites directly into your own website or application. These services are provided free of charge from CDC. The data shown in this table represent the weekly top page views from CDC.gov offered by syndication.

  7. D

    Master Data Management Product Data Syndication (PDS) Market Report | Global...

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Master Data Management Product Data Syndication (PDS) Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-master-data-management-product-data-syndication-pds-market
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    pptx, csv, pdfAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Master Data Management Product Data Syndication (PDS) Market Outlook



    The Master Data Management Product Data Syndication (PDS) market size is projected to expand significantly from 2023 to 2032 with a robust CAGR of 10.5%. The market, valued at approximately USD 2.8 billion in 2023, is anticipated to reach an impressive USD 6.7 billion by 2032. This growth can be attributed to rapid digital transformation across industries and the increasing need for streamlined data management solutions that ensure consistency and accuracy of product information across various platforms and channels.



    One of the primary growth factors for the Master Data Management Product Data Syndication market is the rising importance of maintaining high-quality and consistent product data in the digital commerce landscape. As businesses increasingly leverage online platforms for sales, the necessity of having accurate product data that can be seamlessly syndicated across various channels becomes crucial. This need is further amplified by the growth of omni-channel retail strategies, where businesses aim to provide a seamless shopping experience across physical and digital storefronts. Effective PDS solutions ensure that businesses can maintain product consistency, enhance customer satisfaction, and improve operational efficiency.



    Another significant growth driver is the increasing complexity of supply chains and the growing volume of data that organizations manage. As businesses expand their operations globally, they face challenges in coordinating and maintaining data across different regions, regulations, and languages. PDS solutions offer a robust mechanism to centralize data management, reducing redundancies and discrepancies in product data, which is crucial for making informed decisions and maintaining competitive advantage. Moreover, these solutions enable businesses to comply with regulatory requirements by ensuring that product information is accurate and up-to-date across all jurisdictions.



    The integration of advanced technologies such as Artificial Intelligence (AI) and Machine Learning (ML) into PDS systems is also a significant contributor to market growth. These technologies enhance the capabilities of PDS solutions by automating data management processes, improving data accuracy, and providing insights through predictive analytics. The adoption of AI and ML helps businesses to not only maintain data quality but also to derive actionable insights from data patterns, which can drive strategic decision-making. This technological advancement is attracting more enterprises to invest in sophisticated PDS tools, thereby fueling market expansion.



    In recent years, the role of Master Data Management (MDM) BPO has become increasingly significant in the landscape of data management solutions. MDM BPO services offer businesses the expertise and resources needed to manage their master data effectively, ensuring that data is accurate, consistent, and accessible across the organization. By outsourcing MDM functions, companies can focus on their core operations while benefiting from the specialized skills and technologies provided by BPO partners. This approach not only enhances data governance and quality but also reduces the burden on internal IT teams, allowing them to concentrate on strategic initiatives. As the demand for efficient data management continues to grow, the adoption of MDM BPO services is expected to rise, providing businesses with a competitive edge in the digital economy.



    Regionally, North America is expected to dominate the Master Data Management Product Data Syndication market, due to the region's early adoption of technology and high digital literacy. The presence of key industry players and a mature IT infrastructure further bolster growth prospects in this region. Meanwhile, the Asia Pacific region is anticipated to witness the fastest growth, driven by rapid industrialization, increased internet penetration, and a burgeoning e-commerce sector. Countries like China and India are at the forefront of this growth, with businesses increasingly recognizing the importance of efficient data management systems to support their expanding operations.



    Component Analysis



    The Master Data Management Product Data Syndication market by component is primarily segmented into software and services. The software segment is expected to capture a significant share of the market, driven by the increasing demand for robust and efficient data management solutions

  8. China CN: Financial Inst: Use: Loan: Domestic: Medium & Long Term:...

    • ceicdata.com
    Updated Dec 15, 2020
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    CEICdata.com (2020). China CN: Financial Inst: Use: Loan: Domestic: Medium & Long Term: Syndicated [Dataset]. https://www.ceicdata.com/en/china/source-and-use-of-credit-fund-financial-institution-quarterly-old-classification/cn-financial-inst-use-loan-domestic-medium--long-term-syndicated
    Explore at:
    Dataset updated
    Dec 15, 2020
    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
    Dec 1, 2011 - Sep 1, 2014
    Area covered
    China
    Variables measured
    Performance Indicators
    Description

    China Financial Inst: Use: Loan: Domestic: Medium & Long Term: Syndicated data was reported at 3,959,451.000 RMB mn in Sep 2014. This records an increase from the previous number of 3,838,591.000 RMB mn for Jun 2014. China Financial Inst: Use: Loan: Domestic: Medium & Long Term: Syndicated data is updated quarterly, averaging 2,767,234.000 RMB mn from Mar 2010 (Median) to Sep 2014, with 19 observations. The data reached an all-time high of 3,959,451.000 RMB mn in Sep 2014 and a record low of 1,623,735.130 RMB mn in Mar 2010. China Financial Inst: Use: Loan: Domestic: Medium & Long Term: Syndicated data remains active status in CEIC and is reported by The People's Bank of China. The data is categorized under China Premium Database’s Money and Banking – Table CN.KC: Source and Use of Credit Fund: Financial Institution: Quarterly (Old Classification) .

  9. F

    Other Financial Business; Syndicated Loans to Nonfinancial Corporate...

    • fred.stlouisfed.org
    json
    Updated Jun 12, 2025
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    (2025). Other Financial Business; Syndicated Loans to Nonfinancial Corporate Business; Asset, Level [Dataset]. https://fred.stlouisfed.org/series/FCSLNCBA
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 12, 2025
    License

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

    Description

    Graph and download economic data for Other Financial Business; Syndicated Loans to Nonfinancial Corporate Business; Asset, Level (FCSLNCBA) from Q4 1945 to Q1 2025 about syndication, nonfinancial, corporate, business, assets, loans, and USA.

  10. d

    Replication Data for: Syndicated Lending, Competition and Relative...

    • search.dataone.org
    Updated Nov 8, 2023
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    Schneider, Thomas; Strahan, Philip E.; Yang, Jun (2023). Replication Data for: Syndicated Lending, Competition and Relative Performance Evaluation [Dataset]. http://doi.org/10.7910/DVN/SMQF66
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    Dataset updated
    Nov 8, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Schneider, Thomas; Strahan, Philip E.; Yang, Jun
    Description

    Replication code for "Syndicated Lending, Competition and Relative Performance Evaluation" by Thomas Schneider, Philip E. Strahan, and Jun Yang in the Review of Financial Studies.

  11. China CN: Financial Inst: Use: Loan: Domestic: Short Term: Syndicated

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). China CN: Financial Inst: Use: Loan: Domestic: Short Term: Syndicated [Dataset]. https://www.ceicdata.com/en/china/source-and-use-of-credit-fund-financial-institution-quarterly-old-classification/cn-financial-inst-use-loan-domestic-short-term-syndicated
    Explore at:
    Dataset updated
    Feb 15, 2025
    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
    Dec 1, 2011 - Sep 1, 2014
    Area covered
    China
    Variables measured
    Performance Indicators
    Description

    China Financial Inst: Use: Loan: Domestic: Short Term: Syndicated data was reported at 110,884.000 RMB mn in Sep 2014. This records a decrease from the previous number of 115,491.000 RMB mn for Jun 2014. China Financial Inst: Use: Loan: Domestic: Short Term: Syndicated data is updated quarterly, averaging 80,383.730 RMB mn from Mar 2010 (Median) to Sep 2014, with 19 observations. The data reached an all-time high of 121,656.000 RMB mn in Mar 2014 and a record low of 72,822.980 RMB mn in Jun 2011. China Financial Inst: Use: Loan: Domestic: Short Term: Syndicated data remains active status in CEIC and is reported by The People's Bank of China. The data is categorized under China Premium Database’s Money and Banking – Table CN.KC: Source and Use of Credit Fund: Financial Institution: Quarterly (Old Classification) .

  12. r

    Disposable Gowns Market Market Data Analysis - Size, Share & Growth...

    • reportsanddata.com
    pdf,excel,csv,ppt
    Updated Jun 15, 2025
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    Reports and Data (2025). Disposable Gowns Market Market Data Analysis - Size, Share & Growth Intelligence [Dataset]. https://www.reportsanddata.com/report-detail/disposable-gowns-market
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Jun 15, 2025
    Dataset authored and provided by
    Reports and Data
    License

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

    Time period covered
    2024 - 2030
    Area covered
    Global
    Description

    Professional Disposable Gowns Market research covering growth patterns and industry analysis. Access syndicated data for strategic decision-making and business intelligence.

  13. I

    Global Financial Sponsor/Syndicated Loans Market Technological Advancements...

    • statsndata.org
    excel, pdf
    Updated May 2025
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    Stats N Data (2025). Global Financial Sponsor/Syndicated Loans Market Technological Advancements 2025-2032 [Dataset]. https://www.statsndata.org/report/financial-sponsorsyndicated-loans-market-7576
    Explore at:
    pdf, excelAvailable download formats
    Dataset updated
    May 2025
    Dataset authored and provided by
    Stats N Data
    License

    https://www.statsndata.org/how-to-orderhttps://www.statsndata.org/how-to-order

    Area covered
    Global
    Description

    The Financial Sponsor/Syndicated Loans market has emerged as a critical component of the financial landscape, providing essential funding solutions for various industries, including private equity and investment firms. This market involves loans provided by a group of lenders-known as a syndicate-working together to

  14. Market Research Reports And Market Report | Global Forecast From 2025 To...

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Market Research Reports And Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/market-research-reports-and-market
    Explore at:
    pptx, pdf, csvAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Market Research Reports And Services Market Outlook



    The global market size for Market Research Reports and Services is projected to grow from USD 62.5 billion in 2023 to USD 102.8 billion by 2032, exhibiting a compound annual growth rate (CAGR) of 5.9% during the forecast period. This growth is driven by the increasing need for data-driven decision-making across various sectors and the rising complexity of business environments, which propels demand for comprehensive market insights and consulting services.



    One of the significant growth factors for this market is the rapid technological advancements that have made data collection, analysis, and reporting more efficient and cost-effective. The integration of artificial intelligence (AI) and machine learning (ML) into research methodologies allows for more accurate and faster data analytics, enhancing the value proposition of market research services. Companies are increasingly relying on these advanced technologies to gain a competitive edge, understand customer preferences, and optimize their operations, which further fuels the market's expansion.



    Moreover, globalization and the expansion of businesses into new markets are driving the demand for customized market research services. As companies venture into uncharted territories, understanding local market dynamics, consumer behavior, and regulatory landscapes becomes crucial. Customized research offers tailored insights that help businesses navigate these complexities, reduce risks, and make informed strategic decisions. This growing emphasis on market-specific intelligence is a key driver of the market research reports and services industry.



    The rise of the gig economy and the increasing number of startups and SMEs seeking to understand market opportunities and threats also contribute to the market's growth. These smaller enterprises often lack the internal resources to conduct extensive market research and therefore rely heavily on external market research services. The flexibility, scalability, and affordability of syndicated and custom research solutions make them attractive to these organizations, further expanding the market's client base.



    The concept of 0 Market is gaining traction as businesses strive to achieve a state where market inefficiencies are minimized, and supply perfectly meets demand. This ideal market scenario is characterized by the absence of surplus or shortage, leading to optimal resource allocation and maximum economic efficiency. In a 0 Market, businesses can respond swiftly to consumer needs, leveraging real-time data and advanced analytics to adjust their offerings dynamically. This approach not only enhances customer satisfaction but also reduces waste and operational costs, contributing to sustainable business practices. As companies increasingly focus on achieving a 0 Market, the demand for sophisticated market research services that provide accurate and timely insights is expected to rise, further driving the growth of the market research industry.



    Regionally, North America currently holds the largest share of the market research reports and services market, driven by the high adoption of advanced technologies and the presence of a significant number of market research firms. However, the Asia Pacific region is expected to witness the highest growth rate during the forecast period, attributed to the rapid economic development, increasing digitalization, and growing awareness about the importance of market research in business strategy formulation across emerging economies such as China and India.



    Type Analysis



    The market research reports and services market is segmented by type into syndicated research, custom research, and consulting services. Syndicated research involves the collection and analysis of data that is sold to multiple clients, allowing for cost-sharing and making it a cost-effective solution for many businesses. This type of research is particularly popular among smaller companies and startups that need reliable data without the financial burden of custom research. The growth of syndicated research is supported by the increasing availability of big data and the ease of access to diverse datasets, which enhance the comprehensiveness and relevance of these reports.



    Custom research, on the other hand, is tailored to the specific needs of a single client, providing highly specialized and actionable insights. This segment is particularly crucial for large enter

  15. T

    United States - Sources of Revenue: Licensing of Rights to Use Syndicated...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jul 8, 2025
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    TRADING ECONOMICS (2025). United States - Sources of Revenue: Licensing of Rights to Use Syndicated Media Content for News Syndicates, All Establishments, Employer Firms [Dataset]. https://tradingeconomics.com/united-states/sources-of-revenue-licensing-of-rights-to-use-syndicated-media-content-for-news-syndicates-all-establishments-employer-firms-fed-data.html
    Explore at:
    csv, json, xml, excelAvailable download formats
    Dataset updated
    Jul 8, 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 1, 1976 - Dec 31, 2025
    Area covered
    United States
    Description

    United States - Sources of Revenue: Licensing of Rights to Use Syndicated Media Content for News Syndicates, All Establishments, Employer Firms was 940.00000 Mil. of $ in January of 2022, according to the United States Federal Reserve. Historically, United States - Sources of Revenue: Licensing of Rights to Use Syndicated Media Content for News Syndicates, All Establishments, Employer Firms reached a record high of 1315.00000 in January of 2011 and a record low of 817.00000 in January of 2019. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Sources of Revenue: Licensing of Rights to Use Syndicated Media Content for News Syndicates, All Establishments, Employer Firms - last updated from the United States Federal Reserve on July of 2025.

  16. g

    Top syndicated pages from CDC.gov by weekly page views | gimi9.com

    • gimi9.com
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    Top syndicated pages from CDC.gov by weekly page views | gimi9.com [Dataset]. https://gimi9.com/dataset/data-gov_top-syndicated-pages-from-cdc-gov-by-weekly-page-views/
    Explore at:
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Description

    The CDC Content Syndication site at https://tools.cdc.gov/syndication/ allows you to import content from CDC websites directly into your own website or application. These services are provided free of charge from CDC. The data shown in this table represent the weekly top page views from CDC.gov offered by syndication.

  17. F

    Households and Nonprofit Organizations; Syndicated Loans to Nonfinancial...

    • fred.stlouisfed.org
    json
    Updated Mar 13, 2025
    + more versions
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    (2025). Households and Nonprofit Organizations; Syndicated Loans to Nonfinancial Corporate Business; Asset, Transactions [Dataset]. https://fred.stlouisfed.org/series/BOGZ1FU153069803A
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Mar 13, 2025
    License

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

    Description

    Graph and download economic data for Households and Nonprofit Organizations; Syndicated Loans to Nonfinancial Corporate Business; Asset, Transactions (BOGZ1FU153069803A) from 1946 to 2024 about syndication, nonprofit organizations, transactions, nonfinancial, business, assets, households, and USA.

  18. T

    United States - Households and Nonprofit Organizations; Syndicated Loans to...

    • tradingeconomics.com
    csv, excel, json, xml
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    TRADING ECONOMICS, United States - Households and Nonprofit Organizations; Syndicated Loans to Nonfinancial Corporate Business; Asset, Transactions [Dataset]. https://tradingeconomics.com/united-states/households-and-nonprofit-organizations-syndicated-loans-to-nonfinancial-corporate-business-asset-flow-mil-of--fed-data.html
    Explore at:
    xml, json, csv, excelAvailable download formats
    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 - Households and Nonprofit Organizations; Syndicated Loans to Nonfinancial Corporate Business; Asset, Transactions was 5082.00000 Mil. of $ in October of 2024, according to the United States Federal Reserve. Historically, United States - Households and Nonprofit Organizations; Syndicated Loans to Nonfinancial Corporate Business; Asset, Transactions reached a record high of 24308.00000 in July of 2008 and a record low of -36628.00000 in October of 2022. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Households and Nonprofit Organizations; Syndicated Loans to Nonfinancial Corporate Business; Asset, Transactions - last updated from the United States Federal Reserve on May of 2025.

  19. T

    Turkey Syndication Loans: Foreign Trade Finance: Inv & Development Bank

    • ceicdata.com
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    CEICdata.com, Turkey Syndication Loans: Foreign Trade Finance: Inv & Development Bank [Dataset]. https://www.ceicdata.com/en/turkey/syndication-and-securitization-loans-banking-sector/syndication-loans-foreign-trade-finance-inv--development-bank
    Explore at:
    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
    Jul 1, 2017 - Jun 1, 2018
    Area covered
    Turkey
    Variables measured
    Loans
    Description

    Turkey Syndication Loans: Foreign Trade Finance: Inv & Development Bank data was reported at 3.114 USD bn in Jun 2018. This records a decrease from the previous number of 3.129 USD bn for May 2018. Turkey Syndication Loans: Foreign Trade Finance: Inv & Development Bank data is updated monthly, averaging 539.998 USD mn from Dec 2002 (Median) to Jun 2018, with 187 observations. The data reached an all-time high of 3.480 USD bn in Jan 2018 and a record low of 124.997 USD mn in Jul 2003. Turkey Syndication Loans: Foreign Trade Finance: Inv & Development Bank data remains active status in CEIC and is reported by Banking Regulation And Supervision Agency. The data is categorized under Global Database’s Turkey – Table TR.KB033: Syndication and Securitization Loans: Banking Sector.

  20. r

    Visitor Counting Solutions Market Market Demand Trends | Share, Forecast &...

    • reportsanddata.com
    pdf,excel,csv,ppt
    Updated Jun 15, 2025
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    Reports and Data (2025). Visitor Counting Solutions Market Market Demand Trends | Share, Forecast & Industry Data [Dataset]. https://www.reportsanddata.com/report-detail/visitor-counting-solutions-market
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    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Jun 15, 2025
    Dataset authored and provided by
    Reports and Data
    License

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

    Time period covered
    2024 - 2030
    Area covered
    Global
    Description

    Visitor Counting Solutions Market intelligence featuring industry size analysis and growth insights. Get syndicated data for informed business decision-making and strategy.

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Board of Governors of the Federal Reserve System (2024). Syndicated Loan Portfolios of Financial Institutions [Dataset]. https://catalog.data.gov/dataset/syndicated-loan-portfolios-of-financial-institutions
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Syndicated Loan Portfolios of Financial Institutions

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7 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Dec 18, 2024
Dataset provided by
Federal Reserve Systemhttp://www.federalreserve.gov/
Description

These tables provide an overview of the distribution of risk in syndicated loan portfolios of banks and other financial institutions. The tables summarize total exposures to syndicated loans, then break the data down by drawn credit lines, undrawn credit lines, and term loans.

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