100+ datasets found
  1. f

    Data from: Forecasting Unemployment Using Internet Search Data via PRISM

    • tandf.figshare.com
    docx
    Updated Jun 2, 2023
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    Dingdong Yi; Shaoyang Ning; Chia-Jung Chang; S. C. Kou (2023). Forecasting Unemployment Using Internet Search Data via PRISM [Dataset]. http://doi.org/10.6084/m9.figshare.13693703.v2
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    docxAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    Taylor & Francis
    Authors
    Dingdong Yi; Shaoyang Ning; Chia-Jung Chang; S. C. Kou
    License

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

    Description

    Big data generated from the Internet offer great potential for predictive analysis. Here we focus on using online users’ Internet search data to forecast unemployment initial claims weeks into the future, which provides timely insights into the direction of the economy. To this end, we present a novel method Penalized Regression with Inferred Seasonality Module (PRISM), which uses publicly available online search data from Google. PRISM is a semiparametric method, motivated by a general state-space formulation, and employs nonparametric seasonal decomposition and penalized regression. For forecasting unemployment initial claims, PRISM outperforms all previously available methods, including forecasting during the 2008–2009 financial crisis period and near-future forecasting during the COVID-19 pandemic period, when unemployment initial claims both rose rapidly. The timely and accurate unemployment forecasts by PRISM could aid government agencies and financial institutions to assess the economic trend and make well-informed decisions, especially in the face of economic turbulence.

  2. Japan MOR: QoQ%: Forecast: Agencies

    • ceicdata.com
    Updated Jun 15, 2018
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    CEICdata.com (2018). Japan MOR: QoQ%: Forecast: Agencies [Dataset]. https://www.ceicdata.com/en/japan/machinery-orders-received-qoq-forecast/mor-qoq-forecast-agencies
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    Dataset updated
    Jun 15, 2018
    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
    Sep 1, 2015 - Jun 1, 2018
    Area covered
    Japan
    Description

    Japan MOR: QoQ%: Forecast: Agencies data was reported at 4.700 % in Dec 2018. This records an increase from the previous number of -3.100 % for Sep 2018. Japan MOR: QoQ%: Forecast: Agencies data is updated quarterly, averaging 1.150 % from Mar 2006 (Median) to Dec 2018, with 52 observations. The data reached an all-time high of 28.700 % in Mar 2013 and a record low of -20.300 % in Jun 2009. Japan MOR: QoQ%: Forecast: Agencies data remains active status in CEIC and is reported by Economic and Social Research Institute. The data is categorized under Global Database’s Japan – Table JP.C065: Machinery Orders Received: QoQ%: Forecast.

  3. Germany FSO Forecast: No of Households: 2 Persons

    • ceicdata.com
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    CEICdata.com, Germany FSO Forecast: No of Households: 2 Persons [Dataset]. https://www.ceicdata.com/en/germany/number-of-households-forecast-federal-statistics-office-germany/fso-forecast-no-of-households-2-persons
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    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, 2024 - Dec 1, 2035
    Area covered
    Germany
    Description

    Germany FSO Forecast: Number of Households: 2 Persons data was reported at 15,413.000 Number th in 2035. This records a decrease from the previous number of 15,415.000 Number th for 2034. Germany FSO Forecast: Number of Households: 2 Persons data is updated yearly, averaging 15,199.000 Number th from Dec 2017 (Median) to 2035, with 19 observations. The data reached an all-time high of 15,417.000 Number th in 2033 and a record low of 14,274.000 Number th in 2017. Germany FSO Forecast: Number of Households: 2 Persons data remains active status in CEIC and is reported by Federal Statistics Office Germany. The data is categorized under Global Database’s Germany – Table DE.H023: Number of Households: Forecast: Federal Statistics Office Germany.

  4. Mexico: real GDP growth rate 2025, by agency

    • statista.com
    Updated Oct 7, 2024
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    Statista (2024). Mexico: real GDP growth rate 2025, by agency [Dataset]. https://www.statista.com/statistics/1060707/gross-domestic-product-growth-rate-mexico-agency/
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    Dataset updated
    Oct 7, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Aug 2024
    Area covered
    Mexico
    Description

    As of August 2024, Mexico's Secretariat of Finance and Public Credit (SHCP in its acronym in Spanish) forecasted that the Mexican economy would grow by three percent in 2025. This was the most optimistic forecast produced among all the agencies shown in this graph.

  5. Season-Average Price Forecasts

    • agdatacommons.nal.usda.gov
    • data.amerigeoss.org
    • +1more
    bin
    Updated Apr 23, 2025
    + more versions
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    USDA Economic Research Service (2025). Season-Average Price Forecasts [Dataset]. https://agdatacommons.nal.usda.gov/articles/dataset/Season-Average_Price_Forecasts/25696443
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    binAvailable download formats
    Dataset updated
    Apr 23, 2025
    Dataset provided by
    Economic Research Servicehttp://www.ers.usda.gov/
    Authors
    USDA Economic Research Service
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    This data product provides three Excel file spreadsheet models that use futures prices to forecast the U.S. season-average price received and the implied CCP for three major field crops (corn, soybeans, and wheat).

    Using Futures Prices to Forecast the Season-Average Price and Counter-Cyclical Payment Rate for Corn, Soybeans, and Wheat

    Farmers and policymakers are interested in the level of counter-cyclical payments (CCPs) provided by the 2008 Farm Act to producers of selected commodities. CCPs are based on the season-average price received by farmers. (For more information on CCPs, see the ERS 2008 Farm Bill Side-By-Side, Title I: Commodity Programs.)

    This data product provides three Excel spreadsheet models that use futures prices to forecast the U.S. season-average price received and the implied CCP for three major field crops (corn, soybeans, and wheat). Users can view the model forecasts or create their own forecast by inserting different values for futures prices, basis values, or marketing weights. Example computations and data are provided on the Documentation page.

    Spreadsheet Models

    For each of the three major U.S. field crops, the Excel spreadsheet model computes a forecast for:

    1. the national-level season-average price received by farmers and
    2. the implied counter-cyclical payment rate.

    Note: the model forecasts are not official USDA forecasts. See USDA's World Agricultural Supply and Demand Estimates for official USDA season-average price forecasts. See USDA's Farm Service Agency information for official USDA CCP rates.This record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: Webpage with links to Excel files For complete information, please visit https://data.gov.

  6. I

    Indonesia DJ ANGGARAN Forecast: Govt Exp: BDG: National Cyrpto Agency

    • ceicdata.com
    Updated Dec 15, 2022
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    CEICdata.com (2022). Indonesia DJ ANGGARAN Forecast: Govt Exp: BDG: National Cyrpto Agency [Dataset]. https://www.ceicdata.com/en/indonesia/government-budget-forecast-directorate-general-of-budget/dj-anggaran-forecast-govt-exp-bdg-national-cyrpto-agency
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    Dataset updated
    Dec 15, 2022
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2008 - Dec 1, 2019
    Area covered
    Indonesia
    Variables measured
    Government Budget
    Description

    Indonesia DJ ANGGARAN Forecast: Govt Exp: BDG: National Cyrpto Agency data was reported at 2,308.100 IDR bn in 2019. This records an increase from the previous number of 969.300 IDR bn for 2018. Indonesia DJ ANGGARAN Forecast: Govt Exp: BDG: National Cyrpto Agency data is updated yearly, averaging 913.900 IDR bn from Dec 2005 (Median) to 2019, with 15 observations. The data reached an all-time high of 2,308.100 IDR bn in 2019 and a record low of 364.700 IDR bn in 2005. Indonesia DJ ANGGARAN Forecast: Govt Exp: BDG: National Cyrpto Agency data remains active status in CEIC and is reported by Directorate General of Budget. The data is categorized under Global Database’s Indonesia – Table ID.FA001: Government Budget: Forecast: Directorate General of Budget.

  7. D

    Real Estate Agency Service Market Report | Global Forecast From 2025 To 2033...

    • dataintelo.com
    csv, pdf, pptx
    Updated Oct 16, 2024
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    Dataintelo (2024). Real Estate Agency Service Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/real-estate-agency-service-market
    Explore at:
    pdf, pptx, csvAvailable download formats
    Dataset updated
    Oct 16, 2024
    Authors
    Dataintelo
    License

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

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Real Estate Agency Service Market Outlook



    The global real estate agency service market size was valued at approximately USD 1.2 trillion in 2023 and is projected to reach USD 2.5 trillion by 2032, growing at a compound annual growth rate (CAGR) of 8.1% during the forecast period. The market growth is driven by several factors including urbanization, increased disposable income, and the integration of advanced technology in real estate services.



    The primary growth factor for the real estate agency service market is the rapid urbanization occurring across the globe. As more people move to urban areas, the demand for both residential and commercial properties increases, thereby driving the need for real estate agency services. Additionally, increasing disposable incomes allow more individuals to invest in real estate, whether for personal use or as an investment vehicle. This trend is particularly evident in emerging economies where the middle class is expanding rapidly.



    Technological advancements are another significant catalyst for market growth. The integration of AI, big data, and blockchain technology into real estate transactions has made processes more efficient and transparent, attracting more clients to use professional real estate services. Online platforms and mobile apps have revolutionized the way properties are listed, viewed, and sold, making real estate transactions more accessible to a global audience. These technological innovations are helping agencies provide better services, reduce costs, and enhance customer satisfaction, thereby driving market growth.



    Government policies and incentives are also playing a crucial role in shaping the real estate agency service market. In many countries, tax benefits, subsidies, and low-interest loans for homebuyers are encouraging more people to invest in real estate. Additionally, regulatory frameworks aimed at protecting buyers' and sellers' interests are instilling confidence in the market. These developments are particularly prominent in regions like North America and Europe, where stringent regulations ensure fair practices and consumer protection in real estate transactions.



    From a regional perspective, Asia Pacific is expected to witness the highest growth rate in the real estate agency service market. Rapid urbanization, economic growth, and a burgeoning middle class in countries like China and India are driving demand for residential and commercial properties. North America and Europe are also significant markets, driven by stable economies, technological advancements, and favorable government policies. Latin America and the Middle East & Africa are emerging markets, with increasing investments in infrastructure and real estate development.



    Service Type Analysis



    In the real estate agency service market, the service type segment is divided into residential brokerage, commercial brokerage, property management, real estate appraisal, and others. Each of these services caters to different aspects of real estate needs and plays a crucial role in the market's overall growth. Residential brokerage services have traditionally held the largest market share due to the high demand for residential properties. The residential brokerage segment involves buying, selling, and renting homes, apartments, and other residential properties. The growing population and urbanization trends are driving the demand for residential brokerage services globally.



    Commercial brokerage services are also gaining traction, especially in urban areas with rapid business expansion. This segment involves the buying, selling, and leasing of commercial properties such as office buildings, retail spaces, and industrial properties. The rise of e-commerce and the need for distribution centers have further fueled the demand for commercial brokerage services. Additionally, the growth of coworking spaces and flexible office solutions is creating new opportunities in this segment. Commercial brokerage services are expected to see substantial growth, particularly in regions with robust economic activities.



    Property management services encompass the administration, operation, and oversight of real estate properties, ensuring their optimal condition and financial performance. This segment is gaining importance as property owners increasingly seek professional management to enhance property value and tenant satisfaction. Property management services include rent collection, maintenance, tenant relations, and compliance with local regulations. The growing complexity of property management tasks a

  8. I

    Indonesia DJ ANGGARAN Forecast: Govt Exp: BDG: Nat.Agency of Drug&Food...

    • ceicdata.com
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    CEICdata.com, Indonesia DJ ANGGARAN Forecast: Govt Exp: BDG: Nat.Agency of Drug&Food Control [Dataset]. https://www.ceicdata.com/en/indonesia/government-budget-forecast-directorate-general-of-budget/dj-anggaran-forecast-govt-exp-bdg-natagency-of-drugfood-control
    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
    Dec 1, 2008 - Dec 1, 2019
    Area covered
    Indonesia
    Variables measured
    Government Budget
    Description

    Indonesia DJ ANGGARAN Forecast: Govt Exp: BDG: Nat.Agency of Drug&Food Control data was reported at 1,970.200 IDR bn in 2019. This records a decrease from the previous number of 2,173.700 IDR bn for 2018. Indonesia DJ ANGGARAN Forecast: Govt Exp: BDG: Nat.Agency of Drug&Food Control data is updated yearly, averaging 1,016.450 IDR bn from Dec 2004 (Median) to 2019, with 16 observations. The data reached an all-time high of 2,173.700 IDR bn in 2018 and a record low of 196.300 IDR bn in 2004. Indonesia DJ ANGGARAN Forecast: Govt Exp: BDG: Nat.Agency of Drug&Food Control data remains active status in CEIC and is reported by Directorate General of Budget. The data is categorized under Global Database’s Indonesia – Table ID.FA001: Government Budget: Forecast: Directorate General of Budget.

  9. Japan CO Forecast: Unemployment Rate

    • ceicdata.com
    Updated May 22, 2018
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    CEICdata.com (2018). Japan CO Forecast: Unemployment Rate [Dataset]. https://www.ceicdata.com/en/japan/unemployment-rate-forecast-cabinet-office
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    Dataset updated
    May 22, 2018
    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
    Mar 1, 2008 - Mar 1, 2019
    Area covered
    Japan
    Description

    CO Forecast: Unemployment Rate data was reported at 2.300 % in 2019. This records a decrease from the previous number of 2.700 % for 2018. CO Forecast: Unemployment Rate data is updated yearly, averaging 4.200 % from Mar 2000 (Median) to 2019, with 20 observations. The data reached an all-time high of 5.600 % in 2003 and a record low of 2.300 % in 2019. CO Forecast: Unemployment Rate data remains active status in CEIC and is reported by Cabinet Office. The data is categorized under Global Database’s Japan – Table JP.G010: Unemployment Rate: Forecast: Cabinet Office.

  10. Indonesia DJ ANGGARAN Forecast: Govt Exp: BDG: Assesment&App.of Tech. Agency...

    • ceicdata.com
    Updated May 20, 2018
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    CEICdata.com (2018). Indonesia DJ ANGGARAN Forecast: Govt Exp: BDG: Assesment&App.of Tech. Agency [Dataset]. https://www.ceicdata.com/en/indonesia/government-budget-forecast-directorate-general-of-budget/dj-anggaran-forecast-govt-exp-bdg-assesmentappof-tech-agency
    Explore at:
    Dataset updated
    May 20, 2018
    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, 2008 - Dec 1, 2019
    Area covered
    Indonesia
    Variables measured
    Government Budget
    Description

    Indonesia DJ ANGGARAN Forecast: Govt Exp: BDG: Assesment&App.of Tech. Agency data was reported at 1,372.700 IDR bn in 2019. This records an increase from the previous number of 1,189.300 IDR bn for 2018. Indonesia DJ ANGGARAN Forecast: Govt Exp: BDG: Assesment&App.of Tech. Agency data is updated yearly, averaging 855.000 IDR bn from Dec 2006 (Median) to 2019, with 14 observations. The data reached an all-time high of 1,372.700 IDR bn in 2019 and a record low of 367.500 IDR bn in 2006. Indonesia DJ ANGGARAN Forecast: Govt Exp: BDG: Assesment&App.of Tech. Agency data remains active status in CEIC and is reported by Directorate General of Budget. The data is categorized under Global Database’s Indonesia – Table ID.FA001: Government Budget: Forecast: Directorate General of Budget.

  11. Forecast: revenue real estate agencies Germany 2009-2020

    • statista.com
    Updated Jun 15, 2016
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    Statista Research Department (2016). Forecast: revenue real estate agencies Germany 2009-2020 [Dataset]. https://www.statista.com/study/25005/economic-outlook-germany/
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    Dataset updated
    Jun 15, 2016
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    Germany
    Description

    This forecast statistic shows the revenue of real estate agencies in Germany from 2009 to 2014, with forecasts up until 2020. By 2016, revenues of real estate agencies in Germany are projected to reach approximately 11.23 billion U.S. dollars.

  12. Industry revenue of “travel agency activities“ in Norway 2012-2025

    • statista.com
    Updated Jun 25, 2016
    + more versions
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    Statista Research Department (2016). Industry revenue of “travel agency activities“ in Norway 2012-2025 [Dataset]. https://www.statista.com/study/25370/economic-outlook-norway/
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    Dataset updated
    Jun 25, 2016
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    Norway
    Description

    This statistic shows the revenue of the industry “travel agency activities“ in Norway from 2012 to 2018, with a forecast to 2025. It is projected that the revenue of travel agency activities in Norway will amount to approximately 2,681.69 million U.S. Dollars by 2025.

  13. D

    Real Estate Agency Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Sep 23, 2024
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    Dataintelo (2024). Real Estate Agency Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-real-estate-agency-market
    Explore at:
    csv, pptx, pdfAvailable download formats
    Dataset updated
    Sep 23, 2024
    Authors
    Dataintelo
    License

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

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Real Estate Agency Market Outlook



    The global real estate agency market size is projected to grow from USD 1.3 trillion in 2023 to USD 1.8 trillion by 2032, at a compound annual growth rate (CAGR) of 3.6%. This growth is driven by increasing urbanization, economic growth in emerging markets, and technological advancements in property management and client services. The expanding middle class and their growing purchasing power, coupled with favorable government policies and investments in infrastructure, are significant contributors to this market's expansion. Additionally, digital transformation and the adoption of advanced analytics are providing a solid foundation for market growth.



    One major growth factor in the real estate agency market is the shift towards urban living. As more people migrate to urban areas in search of better employment opportunities and living standards, the demand for residential and commercial properties skyrockets. This urbanization trend is particularly pronounced in developing countries, where rapid economic growth is accompanied by significant investments in infrastructure. Moreover, urban areas tend to offer better real estate returns compared to rural regions, attracting more investors and driving the market further.



    Another contributing factor is technological innovation. The integration of digital tools such as virtual tours, artificial intelligence, and big data analytics has revolutionized the real estate market. These technologies enable real estate agencies to offer more personalized and efficient services, such as virtual property showings, automated valuation models, and targeted marketing strategies. Furthermore, blockchain technology is increasingly being used for secure and transparent property transactions, reducing fraud and enhancing trust among buyers and sellers.



    Government policies and economic factors also play a crucial role in market growth. Many governments offer incentives to both property developers and buyers to stimulate the real estate market. These incentives can include tax breaks, reduced interest rates on loans, and subsidies for green building projects. Additionally, economic stability and growth foster consumer confidence, encouraging more people to invest in real estate. Various countries are also investing in large-scale infrastructure projects, such as smart cities and transportation networks, which significantly boost the real estate market.



    Regionally, the Asia Pacific market is witnessing robust growth due to rapid urbanization, economic development, and government initiatives aimed at boosting infrastructure and real estate development. North America and Europe also show steady growth, driven by technological advancements and favorable economic conditions. Latin America and the Middle East & Africa are emerging markets with significant growth potential, fueled by increasing foreign investments and improving economic scenarios.



    Service Type Analysis



    The residential brokerage segment holds a significant portion of the real estate agency market, driven by high demand for residential properties in urban areas. The growing middle class and their increased purchasing power are key factors fueling this segment. Residential brokerage services include buying, selling, and renting homes, which are increasingly being facilitated through digital platforms. Online listing services and virtual tours are becoming the norm, providing convenience and efficiency for both buyers and sellers. Additionally, government incentives for first-time homebuyers further boost this segment.



    Commercial brokerage, another critical segment, is driven by the demand for office spaces, retail outlets, and industrial units. The rise of e-commerce has increased the need for warehouse and distribution centers, significantly impacting the commercial brokerage market. Moreover, as businesses expand and new startups emerge, the need for office spaces grows, propelling this segment forward. Commercial brokers often work with large corporations, providing specialized services such as market analysis, property valuation, and lease negotiations.



    Industrial brokerage is a niche yet growing segment that focuses on properties used for manufacturing, research and development, and logistics. The rise of automated and smart manufacturing facilities has led to an increased demand for specialized industrial properties. Real estate agencies in this segment offer services that cater to the unique needs of industrial clients, including site selection, facility management, and compliance with zoning la

  14. U

    United States Credit Agency Market Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated Apr 25, 2025
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    Market Report Analytics (2025). United States Credit Agency Market Report [Dataset]. https://www.marketreportanalytics.com/reports/united-states-credit-agency-market-99463
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    ppt, doc, pdfAvailable download formats
    Dataset updated
    Apr 25, 2025
    Dataset authored and provided by
    Market Report Analytics
    License

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

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

    The United States credit agency market, valued at $17.59 billion in 2025, is projected to experience robust growth, driven by a confluence of factors. The increasing adoption of digital technologies across financial institutions fuels demand for sophisticated credit scoring and risk assessment solutions. Furthermore, stringent regulatory compliance requirements necessitate the use of credit agency services, particularly within the financial services and government sectors. The rising penetration of e-commerce and digital lending further expands the market's addressable audience. While the market's growth is fueled by these positive drivers, potential restraints include concerns over data privacy and security, along with the ongoing evolution of regulatory frameworks. The market is segmented by client type (individual and commercial) and vertical (Direct-to-Consumer, Government and Public Sector, Healthcare, Financial Services, Software and Professional Services, Media and Technology, Automotive, Telecom and Utilities, Retail and E-commerce, and Other Verticals). Major players like Equifax, TransUnion, Experian, and others compete fiercely, offering a wide array of credit reporting, scoring, and risk management services. The projected Compound Annual Growth Rate (CAGR) of 5.90% from 2025 to 2033 suggests a significant expansion in market size over the forecast period, highlighting the enduring importance of credit agencies in the US financial ecosystem. The historical period (2019-2024) likely reflects a period of steady growth leading up to the 2025 base year, indicating a continuation of existing trends. The competitive landscape is characterized by a few dominant players and a number of smaller, specialized firms. These companies are constantly innovating to meet evolving customer needs and regulatory requirements, investing heavily in data analytics and technology to enhance their offerings. The ongoing digital transformation of financial services is driving demand for advanced credit risk management solutions, benefitting the larger credit agencies. The healthcare, retail, and e-commerce verticals represent significant opportunities for growth due to the increasing use of credit data in these sectors for lending, fraud detection, and risk mitigation. Future market growth hinges on the sustained adoption of digital lending technologies and the ongoing need for accurate and reliable credit information within an increasingly complex regulatory environment. Geographical variations in market penetration and regulatory frameworks may also influence regional growth trajectories within the US. Recent developments include: June 2024: Equifax unveiled an education verification tool, Talent Report High School, tailored to assist employers and background screeners in confirming high school diploma details during pre-employment checks. This solution offers real-time verification of US high school diploma data, made possible by its direct integration with the National Student Clearinghouse., June 2024: TransUnion and Asurint Partnered to offer cutting-edge screening solutions for Multifamily Property Managers. Multifamily property managers grapple with the demanding responsibility of screening applicants. They must efficiently perform comprehensive criminal background checks while navigating stricter consumer privacy laws. TransUnion unveiled a strategic alliance with Asurint to deliver a compliance-centric approach to criminal background screening.. Key drivers for this market are: Rising Demands Of Credit Reports With Increasing Fraud And Cyber Threats. Potential restraints include: Rising Demands Of Credit Reports With Increasing Fraud And Cyber Threats. Notable trends are: Rising Trends In Consumer Credit Outstanding.

  15. D

    Credit Rating Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Sep 23, 2024
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    Dataintelo (2024). Credit Rating Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-credit-rating-market
    Explore at:
    csv, pdf, pptxAvailable download formats
    Dataset updated
    Sep 23, 2024
    Authors
    Dataintelo
    License

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

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Credit Rating Market Outlook



    The global credit rating market size was valued at approximately USD 6.5 billion in 2023, and it is projected to reach around USD 11.2 billion by 2032, growing at a CAGR of 6.1% during the forecast period. This growth is primarily driven by increasing global financial activities and the rising need for transparent and reliable credit evaluations.



    The growth of the credit rating market is significantly influenced by globalization and the expansion of financial markets. As more countries integrate into the global economy, the need for reliable credit ratings becomes crucial to facilitate cross-border investments and financial transactions. This trend is amplified by the rising corporatization across emerging economies, which necessitates stringent credit evaluations to ensure financial stability and investor confidence. Furthermore, technological advancements have enabled more sophisticated and accurate credit rating methodologies, enhancing the overall efficiency and reliability of credit ratings.



    Another significant growth factor is the regulatory landscape surrounding financial markets. Governments and regulatory bodies worldwide are increasingly emphasizing the importance of transparent credit rating mechanisms to mitigate risks and prevent financial crises. This regulatory push has led to an increased demand for credit rating services, as financial institutions and corporations strive to comply with stringent standards and enhance their creditworthiness. Additionally, the rise in defaults and bankruptcies during economic downturns underscores the importance of robust credit rating systems, further driving market growth.



    Moreover, the proliferation of digital finance and fintech innovations is reshaping the credit rating market. The advent of big data analytics, artificial intelligence, and blockchain technology is transforming traditional credit rating processes, making them more efficient and dynamic. These technologies enable real-time data analysis and provide deeper insights into creditworthiness, thereby improving the accuracy and timeliness of credit ratings. As a result, fintech companies and startups are increasingly entering the credit rating space, introducing innovative solutions that cater to a broader range of market needs.



    Regionally, North America holds the largest share of the credit rating market, driven by the presence of major credit rating agencies and a highly developed financial ecosystem. Europe follows closely, with a strong emphasis on regulatory compliance and financial stability. The Asia Pacific region is expected to exhibit the highest growth rate, fueled by rapid economic development, increasing financial activities, and the growing importance of credit ratings in emerging markets. Latin America and the Middle East & Africa are also witnessing steady growth, supported by improving financial infrastructures and regulatory reforms.



    Component Analysis



    The credit rating market can be segmented by component into software and services. The software segment includes various tools and applications used by credit rating agencies to analyze financial data, assess creditworthiness, and generate ratings. This segment is expected to witness significant growth due to the increasing adoption of advanced technologies such as AI and big data analytics. These technologies enhance the accuracy and efficiency of credit rating processes, enabling agencies to provide more reliable and timely ratings.



    Services, on the other hand, encompass the activities performed by credit rating agencies, including data collection, analysis, consulting, and advisory services. The services segment dominates the market, accounting for a larger share due to the expertise and specialized knowledge required in credit rating activities. The growing demand for comprehensive credit evaluation services, coupled with the need for continuous monitoring and updating of credit ratings, is driving the growth of this segment.



    The integration of software solutions with credit rating services is becoming increasingly common, as agencies seek to leverage technology to enhance their service offerings. This integration provides a holistic approach to credit rating, combining human expertise with technological capabilities to deliver more accurate and actionable insights. As a result, the software and services segments are increasingly interdependent, driving overall market growth.



    Additionally, the emergence of cloud-based solutions is revolutionizing the credit rating mark

  16. D

    Agency Bookkeeping Platform Market Report | Global Forecast From 2025 To...

    • dataintelo.com
    csv, pdf, pptx
    Updated Sep 23, 2024
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    Dataintelo (2024). Agency Bookkeeping Platform Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-agency-bookkeeping-platform-market
    Explore at:
    pptx, csv, pdfAvailable download formats
    Dataset updated
    Sep 23, 2024
    Authors
    Dataintelo
    License

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

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Agency Bookkeeping Platform Market Outlook



    The global agency bookkeeping platform market size was valued at USD 2.5 billion in 2023, and it is projected to reach USD 6.8 billion by 2032, growing at a CAGR of 11.5% during the forecast period. The substantial growth in this market is driven by the increasing digitalization of business processes and the growing need for accurate and efficient financial management systems in agencies of all sizes.



    One of the primary growth factors of the agency bookkeeping platform market is the rising demand for automation in financial operations. Agencies are increasingly seeking platforms that can automate repetitive tasks such as invoice generation, transaction recording, and reconciliation. This automation not only reduces human error but also significantly frees up time for staff to focus on strategic activities, thereby boosting overall productivity. Moreover, the integration of advanced technologies like artificial intelligence (AI) and machine learning (ML) into bookkeeping platforms is enhancing their capability to provide valuable insights and predictive analysis, further driving market growth.



    Another critical factor contributing to the market expansion is the growing trend of cloud-based solutions. Cloud deployment offers numerous advantages, including accessibility, scalability, and cost-effectiveness, which are particularly beneficial for small and medium enterprises (SMEs). Cloud-based bookkeeping platforms allow agencies to access their financial data from anywhere, facilitating remote work and improving coordination across geographically dispersed teams. This trend has been accelerated by the COVID-19 pandemic, which has popularized remote working models and highlighted the need for reliable cloud-based financial management solutions.



    The increasing adoption of digital payment systems is also propelling the demand for advanced bookkeeping platforms. As agencies adopt various digital payment methods, there is a concurrent need for sophisticated platforms that can seamlessly integrate these payment systems and provide real-time updates to financial records. This integration ensures accurate financial tracking, reduces the risk of errors, and enhances overall financial transparency. Additionally, regulatory compliance is becoming increasingly stringent, necessitating the adoption of platforms that can ensure adherence to financial regulations and standards.



    Regionally, North America is expected to hold the largest market share, driven by the high adoption rate of advanced technologies and the presence of many established players in the market. Europe follows closely, with significant investments in digital transformation initiatives across various industries. The Asia Pacific region is anticipated to witness the highest growth rate, owing to the rapid development of the digital economy and increasing awareness about the benefits of automated financial systems among agencies in emerging economies. Latin America and the Middle East & Africa are also poised for growth, albeit at a more gradual pace, as digital infrastructure continues to improve.



    Component Analysis



    The component segment of the agency bookkeeping platform market is bifurcated into software and services. The software segment includes various solutions that facilitate bookkeeping tasks, such as accounting software, financial reporting tools, and integrated financial management systems. The services segment encompasses consulting, implementation, training, and support services that help agencies effectively deploy and utilize these software solutions.



    The software segment dominates the market, driven by the continuous advancements in software capabilities and the integration of new technologies like AI and ML. These technologies enable more accurate data analysis and provide predictive insights, which are invaluable for strategic financial planning. Furthermore, the rise of cloud-based software solutions has made advanced bookkeeping tools more accessible to SMEs, which are increasingly adopting these platforms to streamline their financial operations and ensure compliance with regulatory requirements.



    On the services side, the demand for consulting and implementation services is growing as agencies seek expert guidance to integrate new platforms with their existing systems and processes. This is particularly important for larger enterprises with complex financial structures and diverse operations. Additionally, training services are crucial for ensuring that staff are proficient in using new bookkeeping tools, the

  17. P

    Public Relations Agencies Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Feb 20, 2025
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    Archive Market Research (2025). Public Relations Agencies Report [Dataset]. https://www.archivemarketresearch.com/reports/public-relations-agencies-42491
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    ppt, pdf, docAvailable download formats
    Dataset updated
    Feb 20, 2025
    Dataset authored and provided by
    Archive Market Research
    License

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

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

    The global Public Relations market size was valued at USD 91.3 billion in 2025 and is projected to reach USD 139.4 billion by 2033, exhibiting a CAGR of 5.2% during the forecast period. Rising demand for reputation management and digital marketing services, coupled with the growing adoption of social media platforms, are key factors driving market growth. Large enterprises are increasingly outsourcing their public relations activities to specialized agencies to enhance their brand image and reputation. The increasing significance of public relations in shaping public opinion and influencing consumer behavior is further contributing to the market's expansion. The market is segmented based on type into solutions and services. The solutions segment held a larger share in 2025 due to the rising demand for comprehensive public relations solutions that encompass a range of services, such as media relations, crisis management, and social media marketing. The services segment is expected to witness significant growth during the forecast period, driven by the increasing adoption of digital marketing services, such as search engine optimization (SEO) and content marketing. North America held the largest market share in 2025 and is projected to maintain its dominance throughout the forecast period due to the presence of numerous public relations agencies and the high demand for their services from various industries. Asia Pacific is expected to exhibit the highest CAGR during the forecast period, driven by the rapid economic growth and the increasing adoption of public relations services by businesses in the region.

  18. AU1 THE AGENCY GROUP AUSTRALIA LTD (Forecast)

    • kappasignal.com
    Updated Jan 25, 2023
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    KappaSignal (2023). AU1 THE AGENCY GROUP AUSTRALIA LTD (Forecast) [Dataset]. https://www.kappasignal.com/2023/01/au1-agency-group-australia-ltd.html
    Explore at:
    Dataset updated
    Jan 25, 2023
    Dataset authored and provided by
    KappaSignal
    License

    https://www.kappasignal.com/p/legal-disclaimer.htmlhttps://www.kappasignal.com/p/legal-disclaimer.html

    Description

    This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

    AU1 THE AGENCY GROUP AUSTRALIA LTD

    Financial data:

    • Historical daily stock prices (open, high, low, close, volume)

    • Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

    • Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

    Machine learning features:

    • Feature engineering based on financial data and technical indicators

    • Sentiment analysis data from social media and news articles

    • Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

    Potential Applications:

    • Stock price prediction

    • Portfolio optimization

    • Algorithmic trading

    • Market sentiment analysis

    • Risk management

    Use Cases:

    • Researchers investigating the effectiveness of machine learning in stock market prediction

    • Analysts developing quantitative trading Buy/Sell strategies

    • Individuals interested in building their own stock market prediction models

    • Students learning about machine learning and financial applications

    Additional Notes:

    • The dataset may include different levels of granularity (e.g., daily, hourly)

    • Data cleaning and preprocessing are essential before model training

    • Regular updates are recommended to maintain the accuracy and relevance of the data

  19. D

    Real Estate Agency and Brokerage Service Market Report | Global Forecast...

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Real Estate Agency and Brokerage Service Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-real-estate-agency-and-brokerage-service-market
    Explore at:
    csv, pdf, pptxAvailable 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

    Real Estate Agency and Brokerage Service Market Outlook



    The global Real Estate Agency and Brokerage Service market size was estimated to be approximately USD 1.2 trillion in 2023, with an anticipated growth to USD 2.1 trillion by 2032, reflecting a Compound Annual Growth Rate (CAGR) of 6.2%. The primary growth factor driving this market is the increasing urbanization and infrastructural development worldwide, paired with the rising demand for residential and commercial properties. This growth is supported by technological advancements and the digital transformation of real estate services, as well as the increasing disposable income among middle-class populations in emerging economies.



    One of the most significant growth factors for the Real Estate Agency and Brokerage Service market is the technological advancements in property management and brokerage services. The integration of Artificial Intelligence (AI), Big Data, and Blockchain technology has revolutionized how real estate transactions are conducted. AI and machine learning algorithms are being used to predict market trends, automate processes, and provide personalized property recommendations. Blockchain technology, on the other hand, ensures transparency and security in transactions, reducing the risk of fraud. These technological advancements have not only enhanced the efficiency of real estate services but have also attracted tech-savvy customers, thereby driving market growth.



    Another key growth factor is the increasing urbanization and infrastructural development across the globe. As more people migrate to urban areas in search of better job opportunities and living standards, the demand for residential and commercial properties is on the rise. Governments in various countries are also investing heavily in infrastructure projects, such as the construction of smart cities and transportation networks, which further boosts the real estate market. This trend is particularly evident in emerging economies where rapid urbanization is accompanied by economic growth, leading to a surge in real estate investments.



    Additionally, the rising disposable income and improving living standards among middle-class populations in emerging markets have significantly contributed to the growth of the Real Estate Agency and Brokerage Service market. With more disposable income at their disposal, individuals and families are increasingly investing in real estate, either for residential purposes or as a form of financial security. This trend is particularly strong in countries like India, China, and Brazil, where economic growth has created a burgeoning middle class with a growing appetite for property ownership. The increasing number of high-net-worth individuals (HNWIs) in these regions also presents lucrative opportunities for real estate brokers and agencies.



    Broker Affiliate Programs have emerged as a strategic avenue for real estate agencies and brokers looking to expand their reach and enhance their service offerings. These programs allow brokers to partner with other businesses or individuals, creating a network of affiliates who promote their services in exchange for a commission. This model not only helps in increasing the visibility of brokerage services but also taps into new customer bases that might have been inaccessible otherwise. By leveraging these partnerships, brokers can offer a wider range of services and properties, catering to diverse client needs. Additionally, broker affiliate programs provide an opportunity for real estate professionals to collaborate with tech companies, financial institutions, and other sectors, fostering innovation and enhancing the overall customer experience.



    From a regional perspective, North America dominates the Real Estate Agency and Brokerage Service market, followed by Europe and the Asia Pacific. North America's dominance can be attributed to the well-established real estate market, high disposable income, and advanced technological adoption in the region. Europe also holds a significant share due to the presence of a mature real estate market and favorable government policies. Meanwhile, the Asia Pacific region is expected to witness the highest growth rate during the forecast period, driven by rapid urbanization, economic growth, and increasing foreign investments in countries like China and India.



    Service Type Analysis



    The Real Estate Agency and Brokerage Service market is segmented by service type into residential brokerage, commerci

  20. w

    Global Economic Analysis Market Research Report: By Type of Economic...

    • wiseguyreports.com
    Updated Dec 3, 2024
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    wWiseguy Research Consultants Pvt Ltd (2024). Global Economic Analysis Market Research Report: By Type of Economic Analysis (Microeconomic Analysis, Macroeconomic Analysis, Comparative Economic Analysis, Cost-Benefit Analysis), By Application (Economic Forecasting, Investment Appraisal, Policy Analysis, Market Research), By End Use Sector (Government Agencies, Financial Institutions, Corporates, Educational Institutions), By Research Methodology (Quantitative Research, Qualitative Research, Mixed Methods) and By Regional (North America, Europe, South America, Asia Pacific, Middle East and Africa) - Forecast to 2032. [Dataset]. https://www.wiseguyreports.com/reports/economic-analysi-market
    Explore at:
    Dataset updated
    Dec 3, 2024
    Dataset authored and provided by
    wWiseguy Research Consultants Pvt Ltd
    License

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

    Area covered
    Global
    Description
    BASE YEAR2024
    HISTORICAL DATA2019 - 2024
    REPORT COVERAGERevenue Forecast, Competitive Landscape, Growth Factors, and Trends
    MARKET SIZE 20234.99(USD Billion)
    MARKET SIZE 20245.34(USD Billion)
    MARKET SIZE 20329.2(USD Billion)
    SEGMENTS COVEREDType of Economic Analysis, Application, End Use Sector, Research Methodology, Regional
    COUNTRIES COVEREDNorth America, Europe, APAC, South America, MEA
    KEY MARKET DYNAMICSGlobal economic uncertainty, Data-driven decision-making, Increased demand for insights, Technological advancements in analytics, Growth of emerging markets
    MARKET FORECAST UNITSUSD Billion
    KEY COMPANIES PROFILEDKPMG, S and P Global, PricewaterhouseCoopers, Oliver Wyman, The Conference Board, IBM, IHS Markit, Moody's Analytics, Rand Corporation, Boston Consulting Group, Accenture, Ernst and Young, McKinsey and Company, Deloitte, Bain and Company
    MARKET FORECAST PERIOD2025 - 2032
    KEY MARKET OPPORTUNITIESAI-driven predictive analytics, Increased demand for data-driven decisions, Expansion of emerging markets, Regulatory compliance advisory services, Integration of big data technologies
    COMPOUND ANNUAL GROWTH RATE (CAGR) 7.04% (2025 - 2032)
Share
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Dingdong Yi; Shaoyang Ning; Chia-Jung Chang; S. C. Kou (2023). Forecasting Unemployment Using Internet Search Data via PRISM [Dataset]. http://doi.org/10.6084/m9.figshare.13693703.v2

Data from: Forecasting Unemployment Using Internet Search Data via PRISM

Related Article
Explore at:
docxAvailable download formats
Dataset updated
Jun 2, 2023
Dataset provided by
Taylor & Francis
Authors
Dingdong Yi; Shaoyang Ning; Chia-Jung Chang; S. C. Kou
License

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

Description

Big data generated from the Internet offer great potential for predictive analysis. Here we focus on using online users’ Internet search data to forecast unemployment initial claims weeks into the future, which provides timely insights into the direction of the economy. To this end, we present a novel method Penalized Regression with Inferred Seasonality Module (PRISM), which uses publicly available online search data from Google. PRISM is a semiparametric method, motivated by a general state-space formulation, and employs nonparametric seasonal decomposition and penalized regression. For forecasting unemployment initial claims, PRISM outperforms all previously available methods, including forecasting during the 2008–2009 financial crisis period and near-future forecasting during the COVID-19 pandemic period, when unemployment initial claims both rose rapidly. The timely and accurate unemployment forecasts by PRISM could aid government agencies and financial institutions to assess the economic trend and make well-informed decisions, especially in the face of economic turbulence.

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