23 datasets found
  1. Survey of Consumer Finances

    • federalreserve.gov
    Updated Oct 18, 2023
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    Board of Governors of the Federal Reserve Board (2023). Survey of Consumer Finances [Dataset]. http://doi.org/10.17016/8799
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    Dataset updated
    Oct 18, 2023
    Dataset provided by
    Federal Reserve Systemhttp://www.federalreserve.gov/
    Federal Reserve Board of Governors
    Authors
    Board of Governors of the Federal Reserve Board
    Time period covered
    1962 - 2023
    Description

    The Survey of Consumer Finances (SCF) is normally a triennial cross-sectional survey of U.S. families. The survey data include information on families' balance sheets, pensions, income, and demographic characteristics.

  2. d

    Paypal Email Receipt Data | Consumer Transaction Data | Payment Data | Asia,...

    • datarade.ai
    .json, .xml, .csv
    Updated Feb 23, 2024
    + more versions
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    Measurable AI (2024). Paypal Email Receipt Data | Consumer Transaction Data | Payment Data | Asia, EMEA, LATAM, MENA, India | Granular & Aggregate Data available [Dataset]. https://datarade.ai/data-products/paypal-email-receipt-data-consumer-transaction-data-payme-measurable-ai
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    .json, .xml, .csvAvailable download formats
    Dataset updated
    Feb 23, 2024
    Dataset authored and provided by
    Measurable AI
    Area covered
    Brazil, United States of America, Chile, Japan, Argentina, Colombia, Mexico, Latin America
    Description

    The Measurable AI Amazon Consumer Transaction Dataset is a leading source of email receipts and consumer transaction data, offering data collected directly from users via Proprietary Consumer Apps, with millions of opt-in users.

    We source our email receipt consumer data panel via two consumer apps which garner the express consent of our end-users (GDPR compliant). We then aggregate and anonymize all the transactional data to produce raw and aggregate datasets for our clients.

    Use Cases Our clients leverage our datasets to produce actionable consumer insights such as: - Market share analysis - User behavioral traits (e.g. retention rates) - Average order values - Promotional strategies used by the key players. Several of our clients also use our datasets for forecasting and understanding industry trends better.

    Granular Data Itemized, high-definition data per transaction level with metrics such as - Order value - Items ordered - No. of orders per user - Delivery fee - Service fee - Promotions used - Geolocation data and more

    Aggregate Data - Weekly/ monthly order volume - Revenue delivered in aggregate form, with historical data dating back to 2018. All the transactional e-receipts are sent from app to users’ registered accounts.

    Most of our clients are fast-growing Tech Companies, Financial Institutions, Buyside Firms, Market Research Agencies, Consultancies and Academia.

    Our dataset is GDPR compliant, contains no PII information and is aggregated & anonymized with user consent. Contact michelle@measurable.ai for a data dictionary and to find out our volume in each country.

  3. r

    Online responses to survey investigating the impact of corporate...

    • researchdata.edu.au
    Updated Nov 17, 2020
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    Pascale Quester; Claire Johnson; Carolin Plewa (2020). Online responses to survey investigating the impact of corporate volunteering on consumer perceptions [Dataset]. http://doi.org/10.4225/55/5982BF5CE68B7
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    Dataset updated
    Nov 17, 2020
    Dataset provided by
    The University of Adelaide
    Authors
    Pascale Quester; Claire Johnson; Carolin Plewa
    License

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

    Description

    This dataset entails 357 completed responses (and respective questions) to an online survey. The data was collected by means of an external online consumer panel in 2012 and aimed to investigate the impact of corporate volunteering on consumer perceptions, using the telecommunications provider Vodafone as a scenario. Central constructs included in this dataset are CSR image, firm image, perceived familiarity with firm's corporate volunteering initiatives, attributions, affective and cognitive loyalty, as well as word of mouth. These constructs were measured using Likert and semantic differential scales.

  4. C

    Global Ultra High Definition (UHD) Panel Market Strategic Planning Insights...

    • statsndata.org
    excel, pdf
    Updated Oct 2025
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    Stats N Data (2025). Global Ultra High Definition (UHD) Panel Market Strategic Planning Insights 2025-2032 [Dataset]. https://www.statsndata.org/report/ultra-high-definition-uhd-panel-market-259391
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    pdf, excelAvailable download formats
    Dataset updated
    Oct 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 Ultra High Definition (UHD) Panel market has witnessed a significant transformation in recent years, driven by the demand for enhanced image quality and immersive viewing experiences across various sectors. UHD panels, known for their resolution of 3840 x 2160 pixels, provide four times the resolution of high-de

  5. d

    Temu and Fast Fashion E-Receipt Data | Consumer Transaction Data | Asia,...

    • datarade.ai
    .json, .xml, .csv
    Updated Mar 3, 2024
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    Measurable AI (2024). Temu and Fast Fashion E-Receipt Data | Consumer Transaction Data | Asia, EMEA, LATAM, MENA, India | Granular & Aggregate Data | 23+ Countries [Dataset]. https://datarade.ai/data-products/temu-and-fast-fashion-email-receipt-data-consumer-transacti-measurable-ai
    Explore at:
    .json, .xml, .csvAvailable download formats
    Dataset updated
    Mar 3, 2024
    Dataset authored and provided by
    Measurable AI
    Area covered
    Brazil, Mexico, Chile, Japan, Argentina, Colombia, United States of America, India, Latin America
    Description

    The Measurable AI Temu & Fast Fashion E-Receipt Dataset is a leading source of email receipts and transaction data, offering data collected directly from users via Proprietary Consumer Apps, with millions of opt-in users.

    We source our email receipt consumer data panel via two consumer apps which garner the express consent of our end-users (GDPR compliant). We then aggregate and anonymize all the transactional data to produce raw and aggregate datasets for our clients.

    Use Cases Our clients leverage our datasets to produce actionable consumer insights such as: - Market share analysis - User behavioral traits (e.g. retention rates) - Average order values - Promotional strategies used by the key players. Several of our clients also use our datasets for forecasting and understanding industry trends better.

    Coverage - Asia (Japan, Thailand, Malaysia, Vietnam, Indonesia, Singapore, Hong Kong, Phillippines) - EMEA (Spain, United Arab Emirates, Saudi, Qatar) - Latin America (Brazil, Mexico, Columbia, Argentina)

    Granular Data Itemized, high-definition data per transaction level with metrics such as - Order value - Items ordered - No. of orders per user - Delivery fee - Service fee - Promotions used - Geolocation data and more - Email ID (can work out user overlap with peers and loyalty)

    Aggregate Data - Weekly/ monthly order volume - Revenue delivered in aggregate form, with historical data dating back to 2018.

    Most of our clients are fast-growing Tech Companies, Financial Institutions, Buyside Firms, Market Research Agencies, Consultancies and Academia.

    Our dataset is GDPR compliant, contains no PII information and is aggregated & anonymized with user consent. Contact business@measurable.ai for a data dictionary and to find out our volume in each country.

  6. e

    Household Income, Expenditure, and Consumption Survey, HIECS 2012/2013 -...

    • erfdataportal.com
    Updated Oct 30, 2014
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    Central Agency For Public Mobilization & Statistics (2014). Household Income, Expenditure, and Consumption Survey, HIECS 2012/2013 - Egypt [Dataset]. http://www.erfdataportal.com/index.php/catalog/67
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    Dataset updated
    Oct 30, 2014
    Dataset provided by
    Central Agency For Public Mobilization & Statistics
    Economic Research Forum
    Time period covered
    2012 - 2013
    Area covered
    Egypt
    Description

    Abstract

    THE CLEANED AND HARMONIZED VERSION OF THE SURVEY DATA PRODUCED AND PUBLISHED BY THE ECONOMIC RESEARCH FORUM REPRESENTS 50% OF THE ORIGINAL SURVEY DATA COLLECTED BY THE CENTRAL AGENCY FOR PUBLIC MOBILIZATION AND STATISTICS (CAPMAS)

    The Household Income, Expenditure and Consumption Survey (HIECS) is of great importance among other household surveys conducted by statistical agencies in various countries around the world. This survey provides a large amount of data to rely on in measuring the living standards of households and individuals, as well as establishing databases that serve in measuring poverty, designing social assistance programs, and providing necessary weights to compile consumer price indices, considered to be an important indicator to assess inflation.

    The First Survey that covered all the country governorates was carried out in 1958/1959 followed by a long series of similar surveys . The current survey, HIECS 2012/2013, is the eleventh in this long series.

    Starting 2008/2009, Household Income, Expenditure and Consumption Surveys were conducted each two years instead of five years. this would enable better tracking of the rapid changes in the level of the living standards of the Egyptian households.

    CAPMAS started in 2010/2011 to follow a panel sample of around 40% of the total household sample size. The current survey is the second one to follow a panel sample. This procedure will provide the necessary data to extract accurate indicators on the status of the society. The CAPMAS also is pleased to disseminate the results of this survey to policy makers, researchers and scholarly to help in policy making and conducting development related researches and studies

    The survey main objectives are:

    • To identify expenditure levels and patterns of population as well as socio- economic and demographic differentials.

    • To measure average household and per-capita expenditure for various expenditure items along with socio-economic correlates.

    • To Measure the change in living standards and expenditure patterns and behavior for the individuals and households in the panel sample, previously surveyed in 2008/2009, for the first time during 12 months representing the survey period.

    • To define percentage distribution of expenditure for various items used in compiling consumer price indices which is considered important indicator for measuring inflation.

    • To estimate the quantities, values of commodities and services consumed by households during the survey period to determine the levels of consumption and estimate the current demand which is important to predict future demands.

    • To define average household and per-capita income from different sources.

    • To provide data necessary to measure standard of living for households and individuals. Poverty analysis and setting up a basis for social welfare assistance are highly dependent on the results of this survey.

    • To provide essential data to measure elasticity which reflects the percentage change in expenditure for various commodity and service groups against the percentage change in total expenditure for the purpose of predicting the levels of expenditure and consumption for different commodity and service items in urban and rural areas.

    • To provide data essential for comparing change in expenditure against change in income to measure income elasticity of expenditure.

    • To study the relationships between demographic, geographical, housing characteristics of households and their income.

    • To provide data necessary for national accounts especially in compiling inputs and outputs tables.

    • To identify consumers behavior changes among socio-economic groups in urban and rural areas.

    • To identify per capita food consumption and its main components of calories, proteins and fats according to its nutrition components and the levels of expenditure in both urban and rural areas.

    • To identify the value of expenditure for food according to its sources, either from household production or not, in addition to household expenditure for non-food commodities and services.

    • To identify distribution of households according to the possession of some appliances and equipments such as (cars, satellites, mobiles ,…etc) in urban and rural areas that enables measuring household wealth index.

    • To identify the percentage distribution of income earners according to some background variables such as housing conditions, size of household and characteristics of head of household.

    • To provide a time series of the most important data related to dominant standard of living from economic and social perspective. This will enable conducting comparisons based on the results of these time series. In addition to, the possibility of performing geographical comparisons.

    Compared to previous surveys, the current survey experienced certain peculiarities, among which :

    1- The total sample of the current survey (24.9 thousand households) is divided into two sections:

    a- A new sample of 16.1 thousand households. This sample was used to study the geographic differences between urban governorates, urban and rural areas, and frontier governorates as well as other discrepancies related to households characteristics and household size, head of the household's education status, ....... etc.

    b- A panel sample of 2008/2009 survey data of around 8.8 thousand households was selected to accurately study the changes that may have occurred in the households' living standards over the period between the two surveys and over time in the future since CAPMAS will continue to collect panel data for HIECS in the coming years.

    2- Some additional questions that showed to be important based on previous surveys results, were added to the survey questionnaire, such as:

    a- The extent of health services provided to monitor the level of services available in the Egyptian society. By collecting information on the in-kind transfers, the household received during the year; in order to monitor the assistance the household received from different sources government, association,..etc.

    b- Identifying the main outlet of fabrics, clothes and footwear to determine the level of living standards of the household.

    3- Quality control procedures especially for fieldwork are increased, to ensure data accuracy and avoid any errors in suitable time, as well as taking all the necessary measures to guarantee that mistakes are not repeated, with the application of the principle of reward and punishment.

    The raw survey data provided by the Statistical Agency were cleaned and harmonized by the Economic Research Forum, in the context of a major project that started in 2009. During which extensive efforts have been exerted to acquire, clean, harmonize, preserve and disseminate micro data of existing household surveys in several Arab countries.

    Geographic coverage

    Covering a sample of urban and rural areas in all the governorates.

    Analysis unit

    1- Household/family. 2- Individual/person.

    Universe

    The survey covered a national sample of households and all individuals permanently residing in surveyed households.

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    THE CLEANED AND HARMONIZED VERSION OF THE SURVEY DATA PRODUCED AND PUBLISHED BY THE ECONOMIC RESEARCH FORUM REPRESENTS 50% OF THE ORIGINAL SURVEY DATA COLLECTED BY THE CENTRAL AGENCY FOR PUBLIC MOBILIZATION AND STATISTICS (CAPMAS)

    The sample of HIECS 2012/2013 is a self-weighted two-stage stratified cluster sample, of around 24.9 households. The main elements of the sampling design are described in the following.

    1- Sample Size The sample has been proportionally distributed on the governorate level between urban and rural areas, in order to make the sample representative even for small governorates. Thus, a sample of about 24863 households has been considered, and was distributed between urban and rural with the percentages of 45.4 % and 54.6, respectively. This sample is divided into two parts: a- A new sample of 16094 households selected from main enumeration areas. b- A panel sample of 8769 households (selected from HIECS 2010/2011 and the preceding survey in 2008/2009).

    2- Cluster size The cluster size in the previous survey has been decreased compared to older surveys since large cluster sizes previously used were found to be too large to yield accepted design effect estimates (DEFT). As a result, it has been decided to use a cluster size of only 8 households (In HIECS 2011/2012 a cluster size of 16 households was used). While the cluster size for the panel sample was 4 households.

    3- Core Sample The core sample is the master sample of any household sample required to be pulled for the purpose of studying the properties of individuals and families. It is a large sample and distributed on urban and rural areas of all governorates. It is a representative sample for the individual characteristics of the Egyptian society. This sample was implemented in January 2012 and its size reached more than 1 million household (1004800 household) selected from 5024 enumeration areas distributed on all governorates (urban/rural) proportionally with the sample size (the enumeration area size is around 200 households). The core sample is the sampling frame from which the samples for the surveys conducted by CAPMAS are pulled, such as the Labor Force Surveys, Income, Expenditure And Consumption Survey, Household Urban Migration Survey, ...etc, in addition to other samples that may be required for outsources.

    New Households Sample 1000 sample areas were selected across all governorates (urban/rural) using a proportional technique with the sample size. The number

  7. I

    Global (Ultra High Definition) UHD 4K Panel Market Key Players and Market...

    • statsndata.org
    excel, pdf
    Updated Oct 2025
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    Stats N Data (2025). Global (Ultra High Definition) UHD 4K Panel Market Key Players and Market Share 2025-2032 [Dataset]. https://www.statsndata.org/report/ultra-high-definition-uhd-4k-panel-market-53542
    Explore at:
    pdf, excelAvailable download formats
    Dataset updated
    Oct 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 Ultra High Definition (UHD) 4K panel market has emerged as a pivotal segment within the electronics industry, driven by the demand for enhanced visual experiences across various sectors, including consumer electronics, entertainment, gaming, and professional applications. UHD 4K panels, renowned for their superi

  8. f

    Variable definition and meaning.

    • figshare.com
    xls
    Updated Jun 2, 2023
    + more versions
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    Huanhuan He; Zongwen Zuo (2023). Variable definition and meaning. [Dataset]. http://doi.org/10.1371/journal.pone.0285308.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Huanhuan He; Zongwen Zuo
    License

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

    Description

    Enterprise financialization will block the equipment update and technological innovation of enterprises by crowding out the main business funds. The risks and benefits of supply chain concentration will affect the enterprise financialization. This paper selects the panel data of A-share listed companies in China from 2009 to 2021, and uses fixed effect regression to analyze the impact of supply chain concentration on enterprise financialization. The conclusions show: both suppliers and customers concentration significantly promote the financialization of enterprises, and this conclusion is still valid after a series of tests; This kind of financialization effect is heterogeneous in four aspects: the nature of property rights, the scale of enterprises, the intensity of industrial competition and the level of economic development in the region where the enterprises are located; the mechanism analysis show that customer concentration can affect enterprise financialization through upstream commercial credit, but supplier concentration cannot affect enterprise financialization through downstream commercial credit.

  9. D

    Flat Panel Display FPD Lithography Equipment Market Report | Global Forecast...

    • dataintelo.com
    csv, pdf, pptx
    Updated Sep 5, 2024
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    Dataintelo (2024). Flat Panel Display FPD Lithography Equipment Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-flat-panel-display-fpd-lithography-equipment-market
    Explore at:
    csv, pdf, pptxAvailable download formats
    Dataset updated
    Sep 5, 2024
    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

    Flat Panel Display (FPD) Lithography Equipment Market Outlook



    The global Flat Panel Display (FPD) Lithography Equipment market size is projected to grow from USD 8.5 billion in 2023 to USD 15.3 billion by 2032, at a compound annual growth rate (CAGR) of 6.5%. This robust growth is primarily driven by the increasing demand for advanced displays in consumer electronics, automotive applications, and the healthcare sector, coupled with continuous technological advancements in lithography equipment.



    One of the major growth factors fueling the FPD lithography equipment market is the booming demand for high-definition displays in consumer electronics. Devices such as smartphones, tablets, and televisions are becoming more sophisticated, requiring more advanced display technologies like OLED and 4K/8K resolutions. This trend is driving significant investments in lithography equipment that can produce high-precision displays. Additionally, the rising popularity of smart devices and the Internet of Things (IoT) is further propelling the need for advanced flat-panel displays, thus boosting the market growth.



    Another key factor contributing to market growth is the increasing penetration of flat-panel displays in the automotive sector. Modern vehicles are integrating more digital displays for infotainment, instrument panels, and advanced driver-assistance systems (ADAS). These automotive displays require high reliability and performance, prompting auto manufacturers to invest in advanced lithography equipment capable of producing high-quality displays. Furthermore, the transition towards electric and autonomous vehicles is expected to further drive the demand for sophisticated display technologies, thereby augmenting market growth.



    The healthcare sector is also playing a crucial role in propelling the FPD lithography equipment market. Medical devices and diagnostic equipment increasingly rely on high-resolution flat-panel displays for better imaging and data presentation. These applications demand displays with exceptional clarity and precision, necessitating the use of advanced lithography equipment. The ongoing advancements in medical technology and the growing emphasis on digital healthcare solutions are likely to drive the demand for high-end displays in the healthcare sector, contributing to the market expansion.



    Regionally, Asia Pacific holds a dominant position in the FPD lithography equipment market, driven by the presence of major display manufacturers and significant investments in the electronics sector. Countries like China, Japan, and South Korea are leading the production of consumer electronics, thereby generating substantial demand for lithography equipment. North America and Europe also present lucrative opportunities due to the strong presence of automotive and healthcare industries. The Middle East & Africa and Latin America regions are expected to witness moderate growth, supported by increasing industrialization and adoption of advanced technologies.



    Equipment Type Analysis



    The FPD lithography equipment market is segmented by equipment type into Stepper, Scanner, and Mask Aligner. Each of these equipment types plays a critical role in the lithographic process, catering to different requirements and applications. Steppers are widely used for their precision and ability to produce high-resolution displays. These machines are instrumental in manufacturing small and medium-sized panels, particularly in the consumer electronics segment. The demand for steppers is anticipated to grow consistently due to the increasing production of high-definition smartphones and tablets.



    Scanners, on the other hand, are essential for producing larger panels with high accuracy. They are commonly used in the production of television panels and large displays for industrial applications. The rise in demand for large-screen televisions and commercial displays is driving the adoption of scanners in the flat-panel display manufacturing process. Moreover, advancements in scanner technology that allow for faster processing and higher throughput are expected to bolster their market growth during the forecast period.



    Mask Aligners serve a crucial function in the initial stages of the lithography process, particularly in the fabrication of intricate display circuits. They are essential for applications that require precise alignment and pattern transfer. Although their usage is less prevalent compared to steppers and scanners, mask aligners are indispensable in certain niche applications in the healthcare and specialized industrial sectors. Th

  10. d

    Netflix & Streaming Peers Email Receipt Data | Consumer Transaction Data |...

    • datarade.ai
    .json, .xml, .csv
    Updated Nov 8, 2023
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    Measurable AI (2023). Netflix & Streaming Peers Email Receipt Data | Consumer Transaction Data | Asia, EMEA, LATAM, MENA, India | Granular & Aggregate Data available [Dataset]. https://datarade.ai/data-products/netflix-streaming-peers-email-receipt-data-consumer-trans-measurable-ai
    Explore at:
    .json, .xml, .csvAvailable download formats
    Dataset updated
    Nov 8, 2023
    Dataset authored and provided by
    Measurable AI
    Area covered
    Brazil, Mexico, Colombia, Japan, Chile, United States of America, Argentina, Latin America, India
    Description

    The Measurable AI Netflix and Other Streaming Services Email Receipt Datasets details data from subscription and cancellation email such as premium members, family plans, most popular shows, cancellation emails etc.

    We source our email receipt consumer data panel via two consumer apps which garner the express consent of our end-users (GDPR compliant). We then aggregate and anonymize all the transactional data to produce raw and aggregate datasets for our clients.

    Use Cases Our clients leverage our datasets to produce actionable consumer insights such as: - Market share analysis - User behavioral traits (e.g. retention rates) - Average order values - Promotional strategies used by the key players. Several of our clients also use our datasets for forecasting and understanding industry trends better.

    Coverage - Asia (Japan) - EMEA (Spain, United Arab Emirates)

    Granular Data Itemized, high-definition data per transaction level with metrics such as - Order value - Items ordered - No. of orders per user - Delivery fee - Service fee - Promotions used - Geolocation data and more

    Aggregate Data - Weekly/ monthly order volume - Revenue delivered in aggregate form, with historical data dating back to 2018. All the transactional e-receipts are sent from the Careem Now food delivery app to users’ registered accounts.

    Most of our clients are fast-growing Tech Companies, Financial Institutions, Buyside Firms, Market Research Agencies, Consultancies and Academia.

    Our dataset is GDPR compliant, contains no PII information and is aggregated & anonymized with user consent. Contact business@measurable.ai for a data dictionary and to find out our volume in each country.

  11. M

    Global Direct Expansion Coils Market Forecast and Trend Analysis 2025-2032

    • statsndata.org
    excel, pdf
    Updated Nov 2025
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    Stats N Data (2025). Global Direct Expansion Coils Market Forecast and Trend Analysis 2025-2032 [Dataset]. https://www.statsndata.org/report/direct-expansion-coils-market-53544
    Explore at:
    excel, pdfAvailable download formats
    Dataset updated
    Nov 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 Ultra High Definition (UHD) or 4K panel market has rapidly evolved into a critical segment of the display technology industry, characterized by a resolution of 3840 x 2160 pixels that delivers unparalleled image clarity and detail. Originally gaining traction in the consumer electronics sector, UHD panels have n

  12. Household Income, Expenditure and Consumption Survey 2012-2013 - Egypt, Arab...

    • catalog.ihsn.org
    Updated Mar 29, 2019
    + more versions
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    Central Agency for Public Mobilization and Statistics (CAPMAS) (2019). Household Income, Expenditure and Consumption Survey 2012-2013 - Egypt, Arab Rep. [Dataset]. https://catalog.ihsn.org/catalog/5326
    Explore at:
    Dataset updated
    Mar 29, 2019
    Dataset provided by
    Central Agency for Public Mobilization and Statisticshttps://www.capmas.gov.eg/
    Authors
    Central Agency for Public Mobilization and Statistics (CAPMAS)
    Time period covered
    2012 - 2013
    Area covered
    Egypt
    Description

    Abstract

    The Household Income, Expenditure and Consumption Survey (HIECS) is of great importance among other household surveys conducted by statistical agencies in various countries around the world. This survey provides a large amount of data to rely on in measuring the living standards of households and individuals, as well as establishing databases that serve in measuring poverty, designing social assistance programs, and providing necessary weights to compile consumer price indices, considered to be an important indicator to assess inflation.

    The first survey that covered all the country governorates was carried out in 1958/1959 followed by a long series of similar surveys. The current survey, HIECS 2012/2013, is the eleventh in this long series.

    Starting 2008/2009, Household Income, Expenditure and Consumption Surveys were conducted each two years instead of five years. This would enable better tracking of the rapid changes in the level of the living standards of the Egyptian households.

    CAPMAS started in 2010/2011 to follow a panel sample of around 40% of the total household sample size. The current survey is the second one to follow a panel sample. This procedure will provide the necessary data to extract accurate indicators on the status of the society. The CAPMAS also is pleased to disseminate the results of this survey to policy makers, researchers and scholarly to help in policy making and conducting development related researches and studies

    The survey main objectives are: - To identify expenditure levels and patterns of population as well as socio- economic and demographic differentials. - To measure average household and per-capita expenditure for various expenditure items along with socio-economic correlates. - To Measure the change in living standards and expenditure patterns and behavior for the individuals and households in the panel sample, previously surveyed in 2008/2009, for the first time during 12 months representing the survey period. - To define percentage distribution of expenditure for various items used in compiling consumer price indices which is considered important indicator for measuring inflation. - To estimate the quantities, values of commodities and services consumed by households during the survey period to determine the levels of consumption and estimate the current demand which is important to predict future demands. - To define average household and per-capita income from different sources. - To provide data necessary to measure standard of living for households and individuals. Poverty analysis and setting up a basis for social welfare assistance are highly dependent on the results of this survey. - To provide essential data to measure elasticity which reflects the percentage change in expenditure for various commodity and service groups against the percentage change in total expenditure for the purpose of predicting the levels of expenditure and consumption for different commodity and service items in urban and rural areas. - To provide data essential for comparing change in expenditure against change in income to measure income elasticity of expenditure. - To study the relationships between demographic, geographical, housing characteristics of households and their income. - To provide data necessary for national accounts especially in compiling inputs and outputs tables. - To identify consumers behavior changes among socio-economic groups in urban and rural areas. - To identify per capita food consumption and its main components of calories, proteins and fats according to its nutrition components and the levels of expenditure in both urban and rural areas. - To identify the value of expenditure for food according to its sources, either from household production or not, in addition to household expenditure for non-food commodities and services. - To identify distribution of households according to the possession of some appliances and equipments such as (cars, satellites, mobiles ,…etc) in urban and rural areas that enables measuring household wealth index. - To identify the percentage distribution of income earners according to some background variables such as housing conditions, size of household and characteristics of head of household. - To provide a time series of the most important data related to dominant standard of living from economic and social perspective. This will enable conducting comparisons based on the results of these time series. In addition to, the possibility of performing geographical comparisons.

    Compared to previous surveys, the current survey experienced certain peculiarities, among which : 1) The total sample of the current survey (24.9 thousand households) is divided into two sections: a - A new sample of 16.1 thousand households. This sample was used to study the geographic differences between urban governorates, urban and rural areas, and frontier governorates as well as other discrepancies related to households characteristics and household size, head of the household's education status, ....... etc.

    b - A panel sample of 2008/2009 survey data of around 8.8 thousand households were selected to accurately study the changes that may have occurred in the households' living standards over the period between the two surveys and over time in the future since CAPMAS will continue to collect panel data for HIECS in the coming years.

    2) Some additional questions that showed to be important based on previous surveys results, were added to the survey questionnaire, such as: a - The extent of health services provided to monitor the level of services available in the Egyptian society. By collecting information on the in-kind transfers, the household received during the year; in order to monitor the assistance the household received from different sources government, association,..etc. b - Identifying the main outlet of fabrics, clothes and footwear to determine the level of living standards of the household.

    3) Quality control procedures especially for fieldwork are increased, to ensure data accuracy and avoid any errors in suitable time, as well as taking all the necessary measures to guarantee that mistakes are not repeated, with the application of the principle of reward and punishment.

    Geographic coverage

    National coverage, covering a sample of urban and rural areas in all the governorates.

    Analysis unit

    • Household/family
    • Individual/person

    Universe

    The survey covered a national sample of households and all individuals permanently residing in surveyed households.

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    The sample of HIECS 2012/2013 is a self-weighted two-stage stratified cluster sample, of around 24.9 households. The main elements of the sampling design are described in the following.

    Sample Size The sample has been proportionally distributed on the governorate level between urban and rural areas, in order to make the sample representative even for small governorates. Thus, a sample of about 24863 households has been considered, and was distributed between urban and rural with the percentages of 45.4 % and 54.6, respectively. This sample is divided into two parts: a) A new sample of 16094 households selected from main enumeration areas. b) A panel sample of 8769 households (selected from HIECS 2010/2011 and the preceding survey in 2008/2009).

    Cluster Size The cluster size in the previous survey has been decreased compared to older surveys since large cluster sizes previously used were found to be too large to yield accepted design effect estimates (DEFT). As a result, it has been decided to use a cluster size of only 8 households (In HIECS 2011/2012 a cluster size of 16 households was used). While the cluster size for the panel sample was 4 households.

    Core Sample The core sample is the master sample of any household sample required to be pulled for the purpose of studying the properties of individuals and families. It is a large sample and distributed on urban and rural areas of all governorates. It is a representative sample for the individual characteristics of the Egyptian society. This sample was implemented in January 2012 and its size reached more than 1 million household (1004800 household) selected from 5024 enumeration areas distributed on all governorates (urban/rural) proportionally with the sample size (the enumeration area size is around 200 households). The core sample is the sampling frame from which the samples for the surveys conducted by CAPMAS are pulled, such as the Labor Force Surveys, Income, Expenditure And Consumption Survey, Household Urban Migration Survey, ...etc, in addition to other samples that may be required for outsources.

    New Households Sample 1000 sample areas were selected across all governorates (urban/rural) using a proportional technique with the sample size. The number required for each governorate (urban/rural) was selected from the enumeration areas of the core sample using a systematic sampling technique.

    A more detailed description of the different sampling stages and allocation of sample across governorates is provided in the Methodology document available among external resources in Arabic.

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    Three different questionnaires have been designed as following: 1) Expenditure and Consumption Questionnaire. 2) Diary Questionnaire (Assisting questionnaire). 3) Income Questionnaire.

    In designing the questionnaires of expenditure, consumption and income, we were taking into our consideration the following: - Using the recent concepts and definitions of International Labor Organization approved in the International Convention of

  13. f

    Variable definitions.

    • figshare.com
    zip
    Updated May 30, 2025
    + more versions
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    Xiaoqi Zhang; Yu He (2025). Variable definitions. [Dataset]. http://doi.org/10.1371/journal.pone.0323668.s002
    Explore at:
    zipAvailable download formats
    Dataset updated
    May 30, 2025
    Dataset provided by
    PLOS ONE
    Authors
    Xiaoqi Zhang; Yu He
    License

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

    Description

    Promoting utilization efficiency and sustainable energy development is crucial for achieving sustainable social development in China, the largest energy producer and consumer worldwide. Accordingly, the Chinese authorities enacted the Resource Tax Law (RTL) on August 26, 2019. Whether such a policy can achieve its desired goals has not been verified. Thus, our study applies a difference-in-differences approach to examine the effect of RTL on a firm’s energy efficiency (EE) with panel data of A-shares from 2017 to 2022. Benchmark analysis and robustness tests demonstrate RTL’s significant effect on resource-based firm’s EE. Additional tests deeply explore the policy effect under different situations. First, RTL boosts more for firms with higher initial EE levels than those with lower levels. Second, RTL enhances EE by promoting firms’ research and development investments, confirming the existence of the Porter hypothesis in China. Third, this policy shows a stronger positive effect on firms with political connections than those without. Finally, we detect that RTL has no significant impact in the western region, while its effect is significantly stronger in the middle region compared to the eastern region. Our empirical findings suggest that corporate firms and the government should adopt appropriate actions to enhance RTL’s policy effect.

  14. C

    Global Flat Panel Display Glass Substrate Market Strategic Planning Insights...

    • statsndata.org
    excel, pdf
    Updated Oct 2025
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    Stats N Data (2025). Global Flat Panel Display Glass Substrate Market Strategic Planning Insights 2025-2032 [Dataset]. https://www.statsndata.org/report/flat-panel-display-glass-substrate-market-222012
    Explore at:
    excel, pdfAvailable download formats
    Dataset updated
    Oct 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 Flat Panel Display Glass Substrate market has become a pivotal sector in the evolving world of display technology, driven by the increasing demand for high-definition visual experiences across various applications, including consumer electronics, automotive displays, and industrial equipment. This market encompa

  15. Ultra HD Television (UHD TV) Market Analysis, Size, and Forecast 2025-2029 :...

    • technavio.com
    pdf
    Updated Oct 9, 2025
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    Technavio (2025). Ultra HD Television (UHD TV) Market Analysis, Size, and Forecast 2025-2029 : APAC (China, India, Japan, South Korea, Indonesia, and Australia), North America (US, Canada, and Mexico), Europe (Germany, UK, France, Italy, Spain, and The Netherlands), Middle East and Africa (UAE, South Africa, and Egypt), South America (Brazil, Argentina, and Chile), and Rest of World (ROW) [Dataset]. https://www.technavio.com/report/uhd-tv-market-industry-analysis
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Oct 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
    United States
    Description

    Snapshot img { margin: 10px !important; } Ultra HD Television (UHD TV) Market Size 2025-2029

    The ultra hd television (UHD TV) market size is forecast to increase by USD 177.1 billion, at a CAGR of 12.3% between 2024 and 2029.

    The global ultra hd television (UHD TV) market is experiencing significant momentum, driven by consumer demand for superior visual fidelity. UHD TVs offer more detailed pictures and enhanced image depth, creating a more immersive experience. This is complemented by the advent of 8K UHD TVs, which are setting new benchmarks for display resolution with approximately 8,000 horizontal pixels. The integration of advanced features into the modern television, including those seen in the curved television market and the broader smart tv ecosystem, enhances its appeal. However, a key factor tempering this growth is the lack of sufficient native 4K content, which is necessary to fully leverage the capabilities of these advanced displays, impacting the perceived value for some consumers.Ongoing developments in the global ultra hd television (UHD TV) market are focused on overcoming existing limitations and enhancing the user experience. The industry is addressing the content gap by investing in 4K production and upscaling technologies. Innovations such as QD-OLED 8K resolution displays are pushing the boundaries of picture quality, contributing to the expansion of the 4k tv market. The television is also becoming a central component of home entertainment, supporting everything from streaming, facilitated by the internet protocol television (IPTV) market, to next-generation gaming. This convergence of technologies underscores the dynamic nature of the market, as manufacturers strive to deliver products that meet the evolving demands for higher resolution and smarter functionality.

    What will be the Size of the Ultra HD Television (UHD TV) 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 SampleThe global ultra hd television (UHD TV) market is defined by the continuous advancement of display panel technologies, where quantum dot led and oled tv panel manufacturing are pivotal. These developments focus on enhancing picture quality through improved color gamut performance and achieving perfect black level reproduction. The integration of ai-based picture processing is becoming standard for upscaling lower-resolution content, ensuring a consistent viewing experience. This focus on visual fidelity, supported by technologies within the broader television and curved television market, highlights the industry's direction.Functionality is expanding as the television becomes a central hub for home entertainment, driven by the growth of the internet protocol television (IPTV) market. The adoption of hdmi 2.1 support is critical, enabling higher data throughput for 8k resolution video and features like variable refresh rate, which are crucial for the gaming community. Concurrently, the efficiency of led backlight systems remains a key area of innovation, balancing peak brightness with energy consumption. This evolution reflects a market moving toward smarter, more versatile display solutions.

    How is this Ultra HD Television (UHD TV) Industry segmented?

    The ultra hd television (UHD TV) 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. Display typeLEDQLEDOLEDScreen size50-59 inches60-69 inches40-49 inches70 inches and aboveType4K8KGeographyAPACChinaIndiaJapanSouth KoreaIndonesiaAustraliaNorth AmericaUSCanadaMexicoEuropeGermanyUKFranceItalySpainThe NetherlandsMiddle East and AfricaUAESouth AfricaEgyptSouth AmericaBrazilArgentinaChileRest of World (ROW)

    By Display Type Insights

    The led segment is estimated to witness significant growth during the forecast period.The LED display segment remains a cornerstone of the market, functioning as a panel of LEDs that serves as the primary light source. This technology is widely utilized in a vast array of electronic devices, from mobile phones to large-screen TVs, due to its established manufacturing processes and cost-effectiveness. As the most affordable display format, LED technology accounts for a majority share of the UHD TVs sold. Its widespread adoption is driven by a balance of quality and price, making it a preferred choice for both manufacturers and consumers.The demand for LED displays in UHD TVs is sustained by their role as a standardized and convenient format. This technology works by directing light from an LED backlight array to an LCD panel integrated with RGB pixels. The high level of standardization makes 4K UHD TVs with LED displays the most accessible option in the market. While innovati

  16. e

    Household Income, Expenditure, and Consumption Survey, HIECS 2017/2018 -...

    • erfdataportal.com
    Updated Jun 12, 2023
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    Central Agency For Public Mobilization & Statistics (2023). Household Income, Expenditure, and Consumption Survey, HIECS 2017/2018 - Egypt, Arab Rep. [Dataset]. https://www.erfdataportal.com/index.php/catalog/168
    Explore at:
    Dataset updated
    Jun 12, 2023
    Dataset provided by
    Central Agency For Public Mobilization & Statistics
    Economic Research Forum
    Time period covered
    2017 - 2018
    Area covered
    Egypt, Arab Rep.
    Description

    Abstract

    THE CLEANED AND HARMONIZED VERSION OF THE SURVEY DATA PRODUCED AND PUBLISHED BY THE ECONOMIC RESEARCH FORUM REPRESENTS 50% OF THE ORIGINAL SURVEY DATA COLLECTED BY THE CENTRAL AGENCY FOR PUBLIC MOBILIZATION AND STATISTICS (CAPMAS)

    The Household Income, Expenditure and Consumption Survey (HIECS) is of great importance among other household surveys conducted by statistical agencies in various countries around the world. This survey provides a large amount of data to rely on in measuring the living standards of households and individuals, as well as establishing databases that serve in measuring poverty, designing social assistance programs, and providing necessary weights to compile consumer price indices, considered to be an important indicator to assess inflation.

    The First Survey that covered all the country governorates was carried out in 1958/1959 followed by a long series of similar surveys. The current survey, HIECS 2017/2018, is the Thirteenth in this long series. Starting 2008/2009, Household Income, Expenditure and Consumption Surveys were conducted each two years instead of five years. this would enable better tracking of the rapid changes in the level of the living standards of the Egyptian households.

    CAPMAS started in 2010/2011 to follow a panel sample of around 40% of the total household sample size. The current survey is the fourth one to follow a panel sample. This procedure will provide the necessary data to extract accurate indicators on the status of the society. The CAPMAS also is pleased to disseminate the results of this survey to policy makers, researchers and scholarly to help in policy making and conducting development related researches and studies

    The survey main objectives are:

    • To identify expenditure levels and patterns of population as well as socio- economic and demographic differentials.

    • To measure average household and per-capita expenditure for various expenditure items along with socio-economic correlates.

    • To Measure the change in living standards and expenditure patterns and behavior for the individuals and households in the panel sample, previously surveyed in 2008/2009, for the first time during 12 months representing the survey period.

    • To define percentage distribution of expenditure for various items used in compiling consumer price indices which is considered important indicator for measuring inflation.

    • To estimate the quantities, values of commodities and services consumed by households during the survey period to determine the levels of consumption and estimate the current demand which is important to predict future demands.

    • To define average household and per-capita income from different sources.

    • To provide data necessary to measure standard of living for households and individuals. Poverty analysis and setting up a basis for social welfare assistance are highly dependent on the results of this survey.

    • To provide essential data to measure elasticity which reflects the percentage change in expenditure for various commodity and service groups against the percentage change in total expenditure for the purpose of predicting the levels of expenditure and consumption for different commodity and service items in urban and rural areas.

    • To provide data essential for comparing change in expenditure against change in income to measure income elasticity of expenditure.

    • To study the relationships between demographic, geographical, housing characteristics of households and their income.

    • To provide data necessary for national accounts especially in compiling inputs and outputs tables.

    • To identify consumers behavior changes among socio-economic groups in urban and rural areas.

    • To identify per capita food consumption and its main components of calories, proteins and fats according to its nutrition components and the levels of expenditure in both urban and rural areas.

    • To identify the value of expenditure for food according to its sources, either from household production or not, in addition to household expenditure for non-food commodities and services.

    • To identify distribution of households according to the possession of some appliances and equipments such as (cars, satellites, mobiles ,…etc) in urban and rural areas that enables measuring household wealth index.

    • To identify the percentage distribution of income earners according to some background variables such as housing conditions, size of household and characteristics of head of household.

    • To provide a time series of the most important data related to dominant standard of living from economic and social perspective. This will enable conducting comparisons based on the results of these time series. In addition to, the possibility of performing geographical comparisons.

    The raw survey data provided by the Statistical Agency were cleaned and harmonized by the Economic Research Forum, in the context of a major project that started in 2009. During which extensive efforts have been exerted to acquire, clean, harmonize, preserve and disseminate micro data of existing household surveys in several Arab countries.

    Geographic coverage

    Covering a sample of urban and rural areas in all the governorates.

    Analysis unit

    1- Household/family. 2- Individual/person.

    Universe

    The survey covered a national sample of households and all individuals permanently residing in surveyed households.

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    THE CLEANED AND HARMONIZED VERSION OF THE SURVEY DATA PRODUCED AND PUBLISHED BY THE ECONOMIC RESEARCH FORUM REPRESENTS 50% OF THE ORIGINAL SURVEY DATA COLLECTED BY THE CENTRAL AGENCY FOR PUBLIC MOBILIZATION AND STATISTICS (CAPMAS)

    The sample of HIECS 2017/2018 is a self-weighted two-stage stratified cluster sample. The main elements of the sampling design are described in the following.

    1- Sample Size The sample size is around 26 thousand households. It was distributed between urban and rural with the percentages of 45% and 55%, respectively.

    2- Cluster size The cluster size is 20 households in all governorates.

    3- Sample allocation in different governorates 45% of the survey sample was allocated to urban areas (12020 households) and the other 55% was allocated to rural areas (13780 households). The sample was distributed on urban/rural areas in different governorates proportionally with the household size A sample size of a minimum of 1000 households was allocated to each governorate to ensure accuracy of poverty indicators. Therefore, the sample size was increased in Port-Said, Suez, Ismailiya, kafr el-Sheikh, Damietta, Bani Suef, Fayoum, Qena, Luxor and Aswan, by compensation from other governorates where the sample size exceeds a 1000 households. All Frontier governorates were considered as one governorate.

    4- Core Sample The core sample is the master sample of any household sample required to be pulled for the purpose of studying the properties of individuals and families. It is a large sample and distributed on urban and rural areas of all governorates. It is a representative sample for the individual characteristics of the Egyptian society. This sample was implemented in January 2010 and its size reached more than 1 million household selected from 5024 enumeration areas distributed on all governorates (urban/rural) proportionally with the sample size (the enumeration area size is around 200 households). The core sample is the sampling frame from which the samples for the surveys conducted by CAPMAS are pulled, such as the Labor Force Surveys, Income, Expenditure And Consumption Survey, Household Urban Migration Survey, ...etc, in addition to other samples that may be required for outsources.

    A more detailed description of the different sampling stages and allocation of sample across governorates is provided in the Methodology document available among external resources in Arabic.

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    Three different questionnaires have been designed as following:

    1- Expenditure and Consumption Questionnaire. 2- Assisting questionnaire. 3- Income Questionnaire.

    In designing the questionnaires of expenditure, consumption and income, we were taking into our consideration the following: - Using the recent concepts and definitions of International Labor Organization approved in the International Convention of Labor Statisticians held in Geneva, 2003. - Using the recent Classification of Individual Consumption According to Purpose (COICOP). - Using more than one approach of expenditure measurement to serve many purposes of the survey.

    A brief description of each questionnaire is given next:

    ----> 1- Expenditure and Consumption Questionnaire This questionnaire comprises 14 tables in addition to identification and geographic data of household on the cover page. The questionnaire is divided into two main sections.

    Section one: Household schedule and other information, it includes: - Demographic characteristics and basic data for all household individuals consisting of 25 questions for every person. - Members of household who are currently working abroad. - The household ration card. - The main outlets that provide food and beverage. - Domestic and foreign tourism. - The housing conditions including 16 questions. - Household ownership of means of transportation, communication and domestic appliances. - Date of purchase, status at purchase, purchase value and current imputed value of the household possessed appliances and means of transportation. - The Duration since the household was established - The main outlet

  17. G

    Anisotropic Sputtering Target Market Research Report 2033

    • growthmarketreports.com
    csv, pdf, pptx
    Updated Aug 4, 2025
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    Growth Market Reports (2025). Anisotropic Sputtering Target Market Research Report 2033 [Dataset]. https://growthmarketreports.com/report/anisotropic-sputtering-target-market
    Explore at:
    pdf, csv, pptxAvailable download formats
    Dataset updated
    Aug 4, 2025
    Dataset authored and provided by
    Growth Market Reports
    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Anisotropic Sputtering Target Market Outlook



    According to our latest research, the anisotropic sputtering target market size reached USD 1.47 billion in 2024, reflecting robust expansion driven by the surging demand for advanced thin-film deposition technologies across critical industries. The market is expected to grow at a CAGR of 6.2% from 2025 to 2033, culminating in a projected value of USD 2.53 billion by 2033. This impressive growth trajectory is fueled by the rapid proliferation of electronics, renewable energy, and data storage sectors, all of which increasingly rely on high-performance sputtering targets to achieve superior device functionality and manufacturing efficiency.




    One of the primary growth factors propelling the anisotropic sputtering target market is the relentless advancement in semiconductor manufacturing. As the semiconductor industry pushes the boundaries of miniaturization and device complexity, the need for precise, high-purity, and anisotropically structured thin films becomes paramount. Anisotropic sputtering targets enable the deposition of films with tailored properties, crucial for fabricating next-generation integrated circuits, sensors, and memory devices. The ongoing transition towards 5G, Internet of Things (IoT), and artificial intelligence (AI) technologies has accelerated the demand for sophisticated semiconductor components, thereby significantly boosting the consumption of advanced sputtering targets globally. Furthermore, manufacturers are investing heavily in R&D to develop novel materials and target configurations, ensuring that the market remains on a consistent upward trajectory.




    Another key driver of market growth is the accelerating adoption of renewable energy solutions, particularly in the solar cell industry. Thin-film photovoltaic (PV) technologies, which utilize anisotropic sputtering targets for the deposition of critical layers, have gained substantial traction owing to their cost-effectiveness, flexibility, and high efficiency. Governments worldwide are implementing favorable policies and subsidies to promote clean energy solutions, further catalyzing the demand for high-performance sputtering targets. In addition, the increasing focus on energy storage and conversion technologies, such as batteries and fuel cells, is creating new avenues for the application of anisotropic sputtering targets, as these technologies require precise material engineering at the nanoscale to enhance performance and durability.




    The burgeoning data storage and display panel industries also contribute significantly to the expansion of the anisotropic sputtering target market. With the exponential growth in data generation and the proliferation of high-definition display technologies, there is a pressing need for advanced materials that can deliver superior electrical, magnetic, and optical properties. Anisotropic sputtering targets are integral to the fabrication of hard disk drives, magnetic storage devices, OLED panels, and other high-end display solutions. The convergence of consumer electronics, smart devices, and digital entertainment is expected to sustain strong demand for sputtering targets, as manufacturers seek to differentiate their products through enhanced performance and innovative features.




    From a regional perspective, Asia Pacific dominates the anisotropic sputtering target market, accounting for the largest share in 2024. This leadership position is underpinned by the region's robust electronics manufacturing ecosystem, particularly in countries such as China, Japan, South Korea, and Taiwan. These nations are home to some of the world’s largest semiconductor foundries, display panel manufacturers, and solar cell producers, all of which are major consumers of sputtering targets. North America and Europe also represent significant markets, driven by strong R&D activities and the presence of leading technology companies. Meanwhile, emerging economies in Latin America and the Middle East & Africa are gradually increasing their market participation, supported by investments in renewable energy and industrial automation.



    <br&g

  18. d

    FoodPanda Food & Grocery Transaction Data | Email Receipt Data | Asia |...

    • datarade.ai
    .json, .xml, .csv
    Updated Oct 12, 2023
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    Measurable AI (2023). FoodPanda Food & Grocery Transaction Data | Email Receipt Data | Asia | Granular & Aggregate Data available [Dataset]. https://datarade.ai/data-products/foodpanda-food-grocery-transaction-data-email-receipt-dat-measurable-ai
    Explore at:
    .json, .xml, .csvAvailable download formats
    Dataset updated
    Oct 12, 2023
    Dataset authored and provided by
    Measurable AI
    Area covered
    Philippines, Pakistan, Taiwan, Singapore, Thailand, Hong Kong, Malaysia
    Description

    The Measurable AI FoodPanda Food & Grocery Transaction dataset is a leading source of email receipts and transaction data, offering data collected directly from users via Proprietary Consumer Apps, with millions of opt-in users.

    We source our email receipt consumer data panel via two consumer apps which garner the express consent of our end-users (GDPR compliant). We then aggregate and anonymize all the transactional data to produce raw and aggregate datasets for our clients.

    Use Cases Our clients leverage our datasets to produce actionable consumer insights such as: - Market share analysis - User behavioral traits (e.g. retention rates) - Average order values - Promotional strategies used by the key players. Several of our clients also use our datasets for forecasting and understanding industry trends better.

    Coverage - Asia (Hong Kong, Taiwan, Singapore, Thailand, Malaysia, Philippines, Pakistan)

    Granular Data Itemized, high-definition data per transaction level with metrics such as - Order value - Items ordered - No. of orders per user - Delivery fee - Service fee - Promotions used - Geolocation data and more

    Aggregate Data - Weekly/ monthly order volume - Revenue delivered in aggregate form, with historical data dating back to 2018. All the transactional e-receipts are sent from the FoodPanda food delivery app to users’ registered accounts.

    Most of our clients are fast-growing Tech Companies, Financial Institutions, Buyside Firms, Market Research Agencies, Consultancies and Academia.

    Our dataset is GDPR compliant, contains no PII information and is aggregated & anonymized with user consent. Contact business@measurable.ai for a data dictionary and to find out our volume in each country.

  19. Extraction form based on topic-related questions.

    • plos.figshare.com
    xls
    Updated Jun 14, 2023
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    Michel Visalli; Mara Virginia Galmarini (2023). Extraction form based on topic-related questions. [Dataset]. http://doi.org/10.1371/journal.pone.0270969.t005
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 14, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Michel Visalli; Mara Virginia Galmarini
    License

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

    Description

    Items marked with an asterisk (*) are mandatory (except for statistical oriented articles) for the article to be considered for quality appraisal (see section 2.4.5).

  20. f

    Generic standards applicable for reporting studies involving temporal...

    • figshare.com
    • datasetcatalog.nlm.nih.gov
    • +1more
    xls
    Updated Jun 16, 2023
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    Michel Visalli; Mara Virginia Galmarini (2023). Generic standards applicable for reporting studies involving temporal sensory methods, adapted from JARS. [Dataset]. http://doi.org/10.1371/journal.pone.0270969.t004
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 16, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Michel Visalli; Mara Virginia Galmarini
    License

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

    Description

    Generic standards applicable for reporting studies involving temporal sensory methods, adapted from JARS.

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Board of Governors of the Federal Reserve Board (2023). Survey of Consumer Finances [Dataset]. http://doi.org/10.17016/8799
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Survey of Consumer Finances

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345 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Oct 18, 2023
Dataset provided by
Federal Reserve Systemhttp://www.federalreserve.gov/
Federal Reserve Board of Governors
Authors
Board of Governors of the Federal Reserve Board
Time period covered
1962 - 2023
Description

The Survey of Consumer Finances (SCF) is normally a triennial cross-sectional survey of U.S. families. The survey data include information on families' balance sheets, pensions, income, and demographic characteristics.

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