China Transaction Price: 36 City Avg: Cold Roll Sheet: 1.5mm data was reported at 4,246.290 RMB/Ton in Mar 2025. This records a decrease from the previous number of 4,286.520 RMB/Ton for Feb 2025. China Transaction Price: 36 City Avg: Cold Roll Sheet: 1.5mm data is updated monthly, averaging 4,628.035 RMB/Ton from Dec 2011 (Median) to Mar 2025, with 160 observations. The data reached an all-time high of 6,669.070 RMB/Ton in May 2021 and a record low of 2,661.000 RMB/Ton in Dec 2015. China Transaction Price: 36 City Avg: Cold Roll Sheet: 1.5mm data remains active status in CEIC and is reported by Price Monitoring Center, NDRC. The data is categorized under China Premium Database’s Price – Table CN.PA: Price Monitoring Center, NDRC: Transaction Price: Production Material: Steel.

Abstract

The Consumer price surveys primarily provide the following: Data on CPI in Palestine covering the West Bank, Gaza Strip and Jerusalem J1 for major and sub groups of expenditure. Statistics needed for decision-makers, planners and those who are interested in the national economy. Contribution to the preparation of quarterly and annual national accounts data.

Consumer Prices and indices are used for a wide range of purposes, the most important of which are as follows: Adjustment of wages, government subsidies and social security benefits to compensate in part or in full for the changes in living costs. To provide an index to measure the price inflation of the entire household sector, which is used to eliminate the inflation impact of the components of the final consumption expenditure of households in national accounts and to dispose of the impact of price changes from income and national groups. Price index numbers are widely used to measure inflation rates and economic recession. Price indices are used by the public as a guide for the family with regard to its budget and its constituent items. Price indices are used to monitor changes in the prices of the goods traded in the market and the consequent position of price trends, market conditions and living costs. However, the price index does not reflect other factors affecting the cost of living, e.g. the quality and quantity of purchased goods. Therefore, it is only one of many indicators used to assess living costs. It is used as a direct method to identify the purchasing power of money, where the purchasing power of money is inversely proportional to the price index.

Geographic coverage

Palestine West Bank Gaza Strip Jerusalem

Analysis unit

The target population for the CPI survey is the shops and retail markets such as grocery stores, supermarkets, clothing shops, restaurants, public service institutions, private schools and doctors.

Universe

The target population for the CPI survey is the shops and retail markets such as grocery stores, supermarkets, clothing shops, restaurants, public service institutions, private schools and doctors.

Kind of data

Sample survey data [ssd]

Sampling procedure

A non-probability purposive sample of sources from which the prices of different goods and services are collected was updated based on the establishment census 2017, in a manner that achieves full coverage of all goods and services that fall within the Palestinian consumer system. These sources were selected based on the availability of the goods within them. It is worth mentioning that the sample of sources was selected from the main cities inside Palestine: Jenin, Tulkarm, Nablus, Qalqiliya, Ramallah, Al-Bireh, Jericho, Jerusalem, Bethlehem, Hebron, Gaza, Jabalia, Dier Al-Balah, Nusseirat, Khan Yunis and Rafah. The selection of these sources was considered to be representative of the variation that can occur in the prices collected from the various sources. The number of goods and services included in the CPI is approximately 730 commodities, whose prices were collected from 3,200 sources. (COICOP) classification is used for consumer data as recommended by the United Nations System of National Accounts (SNA-2008).

Sampling deviation

Not apply

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

A tablet-supported electronic form was designed for price surveys to be used by the field teams in collecting data from different governorates, with the exception of Jerusalem J1. The electronic form is supported with GIS, and GPS mapping technique that allow the field workers to locate the outlets exactly on the map and the administrative staff to manage the field remotely. The electronic questionnaire is divided into a number of screens, namely: First screen: shows the metadata for the data source, governorate name, governorate code, source code, source name, full source address, and phone number. Second screen: shows the source interview result, which is either completed, temporarily paused or permanently closed. It also shows the change activity as incomplete or rejected with the explanation for the reason of rejection. Third screen: shows the item code, item name, item unit, item price, product availability, and reason for unavailability. Fourth screen: checks the price data of the related source and verifies their validity through the auditing rules, which was designed specifically for the price programs. Fifth screen: saves and sends data through (VPN-Connection) and (WI-FI technology).

In case of the Jerusalem J1 Governorate, a paper form has been designed to collect the price data so that the form in the top part contains the metadata of the data source and in the lower section contains the price data for the source collected. After that, the data are entered into the price program database.

Cleaning operations

The price survey forms were already encoded by the project management depending on the specific international statistical classification of each survey. After the researcher collected the price data and sent them electronically, the data was reviewed and audited by the project management. Achievement reports were reviewed on a daily and weekly basis. Also, the detailed price reports at data source levels were checked and reviewed on a daily basis by the project management. If there were any notes, the researcher was consulted in order to verify the data and call the owner in order to correct or confirm the information.

At the end of the data collection process in all governorates, the data will be edited using the following process: Logical revision of prices by comparing the prices of goods and services with others from different sources and other governorates. Whenever a mistake is detected, it should be returned to the field for correction. Mathematical revision of the average prices for items in governorates and the general average in all governorates. Field revision of prices through selecting a sample of the prices collected from the items.

Response rate

Not apply

Sampling error estimates

The findings of the survey may be affected by sampling errors due to the use of samples in conducting the survey rather than total enumeration of the units of the target population, which increases the chances of variances between the actual values we expect to obtain from the data if we had conducted the survey using total enumeration. The computation of differences between the most important key goods showed that the variation of these goods differs due to the specialty of each survey. The variance of the key goods in the computed and disseminated CPI survey that was carried out on the Palestine level was for reasons related to sample design and variance calculation of different indicators since there was a difficulty in the dissemination of results by governorates due to lack of weights. Non-sampling errors are probable at all stages of data collection or data entry. Non-sampling errors include: Non-response errors: the selected sources demonstrated a significant cooperation with interviewers; so, there wasn't any case of non-response reported during 2019. Response errors (respondent), interviewing errors (interviewer), and data entry errors: to avoid these types of errors and reduce their effect to a minimum, project managers adopted a number of procedures, including the following: More than one visit was made to every source to explain the objectives of the survey and emphasize the confidentiality of the data. The visits to data sources contributed to empowering relations, cooperation, and the verification of data accuracy. Interviewer errors: a number of procedures were taken to ensure data accuracy throughout the process of field data compilation: Interviewers were selected based on educational qualification, competence, and assessment. Interviewers were trained theoretically and practically on the questionnaire. Meetings were held to remind interviewers of instructions. In addition, explanatory notes were supplied with the surveys. A number of procedures were taken to verify data quality and consistency and ensure data accuracy for the data collected by a questioner throughout processing and data entry (knowing that data collected through paper questionnaires did not exceed 5%): Data entry staff was selected from among specialists in computer programming and were fully trained on the entry programs. Data verification was carried out for 10% of the entered questionnaires to ensure that data entry staff had entered data correctly and in accordance with the provisions of the questionnaire. The result of the verification was consistent with the original data to a degree of 100%. The files of the entered data were received, examined, and reviewed by project managers before findings were extracted. Project managers carried out many checks on data logic and coherence, such as comparing the data of the current month with that of the previous month, and comparing the data of sources and between governorates. Data collected by tablet devices were checked for consistency and accuracy by applying rules at item level to be checked.

Data appraisal

Other technical procedures to improve data quality: Seasonal adjustment processes and estimations of non-available items' prices: Under each category, a number of common items are used in Palestine to calculate the price levels and to represent the commodity within the commodity group. Of course, it is

Eggs US rose to 2.76 USD/Dozen on July 14, 2025, up 2.53% from the previous day. Over the past month, Eggs US's price has risen 3.05%, and is up 18.61% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. This dataset includes a chart with historical data for Eggs US.

Massive eBay Marketplace Data Collection for E-commerce Intelligence

Unlock the power of online marketplace analytics with our comprehensive eBay products dataset. This premium collection contains 1.29 million products from eBay's global marketplace, providing extensive insights into one of the world's largest e-commerce platforms. Perfect for competitive analysis, pricing strategies, market research, and machine learning applications in e-commerce.

Dataset Overview

• Total Products: 1,290,000+ marketplace listings
• Source: eBay Global Marketplace
• Format: CSV, ZIP compressed
• File Size: Optimized compressed format
• Coverage: Multi-category product listings across eBay

Complete Data Fields Included

Product Identification

• id: Unique eBay product identifiers
• name: Complete product titles and names
• url: Direct eBay listing page links
• epid: eBay Product ID for catalog matching
• source: Data source identification

Product Details

• raw_product_description: Original unprocessed product descriptions
• product_description: Cleaned and formatted product descriptions
• brand: Brand names and manufacturer information
• mpn: Manufacturer Part Numbers
• gtin13: Global Trade Item Numbers (barcodes)

Pricing and Availability

• price: Current listing prices
• currency: Currency information for international listings
• in_stock: Stock availability status
• breadcrumbs: Category navigation paths

Visual and Technical Data

• images: Product image URLs and references
• crawled_at: Data collection timestamps

Key Use Cases

E-commerce Market Research

• Analyze eBay marketplace trends and patterns
• Study product category performance
• Monitor pricing strategies across sellers
• Identify high-demand product categories

Competitive Intelligence

• Benchmark pricing against eBay marketplace
• Analyze product positioning strategies
• Study seller competition and market share
• Monitor inventory levels and availability

Price Optimization

• Develop dynamic pricing algorithms
• Analyze price elasticity across categories
• Compare marketplace pricing trends
• Optimize listing prices for maximum visibility

Machine Learning Applications

• Train recommendation systems
• Develop price prediction models
• Create product categorization algorithms
• Build inventory forecasting systems

Target Industries

E-commerce Retailers

• Marketplace Strategy: Optimize eBay selling strategies
• Pricing Intelligence: Competitive price monitoring
• Product Research: Identify profitable product opportunities
• Inventory Planning: Demand forecasting and stock optimization

Technology Companies

• AI Training Data: Machine learning model development
• Analytics Platforms: E-commerce intelligence tools
• Price Comparison: Marketplace comparison services
• Search Enhancement: Product discovery optimization

Market Research Firms

• Industry Reports: E-commerce marketplace analysis
• Consumer Behavior: Online shopping pattern studies
• Brand Monitoring: Brand performance tracking
• Trend Analysis: Market trend identification

Academic Research

• E-commerce Studies: Online marketplace research
• Business Intelligence: Retail analytics case studies
• Data Science Projects: Large-scale dataset analysis
• Economic Research: Digital marketplace economics

Data Quality Features

• Comprehensive Coverage: 1.29 million unique products
• Rich Metadata: Complete product information included
• Validated Data: Quality-checked and processed
• Structured Format: Ready-to-use CSV format
• Global Scope: International marketplace coverage

Abstract

Food price inflation is an important metric to inform economic policy but traditional sources of consumer prices are often produced with delay during crises and only at an aggregate level. This may poorly reflect the actual price trends in rural or poverty-stricken areas, where large populations reside in fragile situations. This data set includes food price estimates and is intended to help gain insight in price developments beyond what can be formally measured by traditional methods. The estimates are generated using a machine-learning approach that imputes ongoing subnational price surveys, often with accuracy similar to direct measurement of prices. The data set provides new opportunities to investigate local price dynamics in areas where populations are sensitive to localized price shocks and where traditional data are not available.

        A dataset of monthly food price inflation estimates (aggregated for all food products available in the data) is also available for all countries covered by this modeling exercise.

Geographic coverage notes

The data cover the following sub-national areas: Eastern, North Central, Uva, Western, Central, Sabaragamuwa, Southern, Northern, North Western, Market Average

Abstract

The Consumer price surveys primarily provide the following: Data on CPI in Palestine covering the West Bank, Gaza Strip and Jerusalem J1 for major and sub groups of expenditure. Statistics needed for decision-makers, planners and those who are interested in the national economy. Contribution to the preparation of quarterly and annual national accounts data.

Consumer Prices and indices are used for a wide range of purposes, the most important of which are as follows: Adjustment of wages, government subsidies and social security benefits to compensate in part or in full for the changes in living costs. To provide an index to measure the price inflation of the entire household sector, which is used to eliminate the inflation impact of the components of the final consumption expenditure of households in national accounts and to dispose of the impact of price changes from income and national groups. Price index numbers are widely used to measure inflation rates and economic recession. Price indices are used by the public as a guide for the family with regard to its budget and its constituent items. Price indices are used to monitor changes in the prices of the goods traded in the market and the consequent position of price trends, market conditions and living costs. However, the price index does not reflect other factors affecting the cost of living, e.g. the quality and quantity of purchased goods. Therefore, it is only one of many indicators used to assess living costs. It is used as a direct method to identify the purchasing power of money, where the purchasing power of money is inversely proportional to the price index.

Geographic coverage

Palestine West Bank Gaza Strip Jerusalem

Analysis unit

The target population for the CPI survey is the shops and retail markets such as grocery stores, supermarkets, clothing shops, restaurants, public service institutions, private schools and doctors.

Universe

The target population for the CPI survey is the shops and retail markets such as grocery stores, supermarkets, clothing shops, restaurants, public service institutions, private schools and doctors.

Kind of data

Sample survey data [ssd]

Sampling procedure

A non-probability purposive sample of sources from which the prices of different goods and services are collected was updated based on the establishment census 2017, in a manner that achieves full coverage of all goods and services that fall within the Palestinian consumer system. These sources were selected based on the availability of the goods within them. It is worth mentioning that the sample of sources was selected from the main cities inside Palestine: Jenin, Tulkarm, Nablus, Qalqiliya, Ramallah, Al-Bireh, Jericho, Jerusalem, Bethlehem, Hebron, Gaza, Jabalia, Dier Al-Balah, Nusseirat, Khan Yunis and Rafah. The selection of these sources was considered to be representative of the variation that can occur in the prices collected from the various sources. The number of goods and services included in the CPI is approximately 730 commodities, whose prices were collected from 3,200 sources. (COICOP) classification is used for consumer data as recommended by the United Nations System of National Accounts (SNA-2008).

Sampling deviation

Not apply

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

A tablet-supported electronic form was designed for price surveys to be used by the field teams in collecting data from different governorates, with the exception of Jerusalem J1. The electronic form is supported with GIS, and GPS mapping technique that allow the field workers to locate the outlets exactly on the map and the administrative staff to manage the field remotely. The electronic questionnaire is divided into a number of screens, namely: First screen: shows the metadata for the data source, governorate name, governorate code, source code, source name, full source address, and phone number. Second screen: shows the source interview result, which is either completed, temporarily paused or permanently closed. It also shows the change activity as incomplete or rejected with the explanation for the reason of rejection. Third screen: shows the item code, item name, item unit, item price, product availability, and reason for unavailability. Fourth screen: checks the price data of the related source and verifies their validity through the auditing rules, which was designed specifically for the price programs. Fifth screen: saves and sends data through (VPN-Connection) and (WI-FI technology).

In case of the Jerusalem J1 Governorate, a paper form has been designed to collect the price data so that the form in the top part contains the metadata of the data source and in the lower section contains the price data for the source collected. After that, the data are entered into the price program database.

Cleaning operations

The price survey forms were already encoded by the project management depending on the specific international statistical classification of each survey. After the researcher collected the price data and sent them electronically, the data was reviewed and audited by the project management. Achievement reports were reviewed on a daily and weekly basis. Also, the detailed price reports at data source levels were checked and reviewed on a daily basis by the project management. If there were any notes, the researcher was consulted in order to verify the data and call the owner in order to correct or confirm the information.

At the end of the data collection process in all governorates, the data will be edited using the following process: Logical revision of prices by comparing the prices of goods and services with others from different sources and other governorates. Whenever a mistake is detected, it should be returned to the field for correction. Mathematical revision of the average prices for items in governorates and the general average in all governorates. Field revision of prices through selecting a sample of the prices collected from the items.

Response rate

Not apply

Sampling error estimates

The findings of the survey may be affected by sampling errors due to the use of samples in conducting the survey rather than total enumeration of the units of the target population, which increases the chances of variances between the actual values we expect to obtain from the data if we had conducted the survey using total enumeration. The computation of differences between the most important key goods showed that the variation of these goods differs due to the specialty of each survey. For example, for the CPI, the variation between its goods was very low, except in some cases such as banana, tomato, and cucumber goods that had a high coefficient of variation during 2019 due to the high oscillation in their prices. The variance of the key goods in the computed and disseminated CPI survey that was carried out on the Palestine level was for reasons related to sample design and variance calculation of different indicators since there was a difficulty in the dissemination of results by governorates due to lack of weights. Non-sampling errors are probable at all stages of data collection or data entry. Non-sampling errors include: Non-response errors: the selected sources demonstrated a significant cooperation with interviewers; so, there wasn't any case of non-response reported during 2019. Response errors (respondent), interviewing errors (interviewer), and data entry errors: to avoid these types of errors and reduce their effect to a minimum, project managers adopted a number of procedures, including the following: More than one visit was made to every source to explain the objectives of the survey and emphasize the confidentiality of the data. The visits to data sources contributed to empowering relations, cooperation, and the verification of data accuracy. Interviewer errors: a number of procedures were taken to ensure data accuracy throughout the process of field data compilation: Interviewers were selected based on educational qualification, competence, and assessment. Interviewers were trained theoretically and practically on the questionnaire. Meetings were held to remind interviewers of instructions. In addition, explanatory notes were supplied with the surveys. A number of procedures were taken to verify data quality and consistency and ensure data accuracy for the data collected by a questioner throughout processing and data entry (knowing that data collected through paper questionnaires did not exceed 5%): Data entry staff was selected from among specialists in computer programming and were fully trained on the entry programs. Data verification was carried out for 10% of the entered questionnaires to ensure that data entry staff had entered data correctly and in accordance with the provisions of the questionnaire. The result of the verification was consistent with the original data to a degree of 100%. The files of the entered data were received, examined, and reviewed by project managers before findings were extracted. Project managers carried out many checks on data logic and coherence, such as comparing the data of the current month with that of the previous month, and comparing the data of sources and between governorates. Data collected by tablet devices were checked for consistency and accuracy by applying rules at item level to be checked.

Data appraisal

Other technical procedures to improve data quality: Seasonal adjustment processes

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

The market monitoring system was developed by the Cash-Based Responses Technical Working Group and REACH Turkey, after the CBR – TWG identified that monitoring markets on a regular basis in Syria was key to understand how markets function and cope with the challenges brought by the conflict, as well as with rough climate conditions. The market monitoring system also aims at informing program design to utilise existing markets, notably through cash-based responses and food assistance, to promote beneficiary empowerment and cost efficiency. Field staff will monitor prices and stock levels of basic commodities in markets in northern Syria on a monthly basis to inform and guide cash and voucher programs, as well as food assistance, for populations relying on the assessed markets.

Resources

• August 2015

Credit

The Market Assessment was carried out by partner organizations of the CBR - TWG and REACH, following an initiative launched by the Cash-Based Responses - Technical Working Group. This project is being funded by OFDA.

US Tariff Impact on Market

US tariffs on imported nanosensor components could have a significant effect on the market, particularly in sectors like healthcare and environmental monitoring, where electrochemical nanosensors play a critical role. The tariffs could increase production costs by 3-5%, particularly for key materials like nanomaterials, semiconductors, and electrodes that are critical for nanosensor manufacturing.

This increase in production costs might lead to higher sensor prices, which could slow adoption, especially in price-sensitive industries like healthcare. Additionally, any disruptions in the supply chain of nanosensor components could delay the development and deployment of new technologies.

Smaller companies, in particular, could face difficulties absorbing these increased costs, potentially stalling their market expansion. However, established companies with strong distribution networks may offset these challenges by leveraging economies of scale. Despite these short-term hurdles, the long-term outlook for the nanosensors market remains positive due to the growing demand for applications across healthcare, environmental monitoring, and IoT technologies.

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Economic Impact

• Production costs could rise by 3-5%, slowing market growth.
• Higher sensor prices may limit adoption in cost-sensitive industries like healthcare.
• Supply chain delays could affect the timely availability of new nanosensor products.

Geographical Impact

• North America may experience slower growth due to tariff-induced cost hikes.
• Disrupted global supply chains may lead to component shortages, affecting global markets.
• Other regions could explore local production to mitigate tariff impacts, leading to regional shifts.

Business Impact

• Increased production costs could affect profit margins, especially for smaller companies.
• Manufacturers may need to adjust pricing models to account for rising material costs.
• Companies may face delays in launching new products due to supply chain disruptions.

US Tariff Impact Percentage for Impacted Sector

The electrochemical nanosensor segment, which holds a dominant market share of 43.2%, may experience a 3-5% increase in production costs due to tariffs on critical nanomaterials and components. This would lead to a rise in product prices, potentially slowing adoption in sensitive sectors like healthcare.

China Transaction Price: 36 City Avg: Silicon Sheet: Cold Rolled Non Oriented, 0.5mm data was reported at 5,223.500 RMB/Ton in Mar 2025. This records an increase from the previous number of 5,211.500 RMB/Ton for Feb 2025. China Transaction Price: 36 City Avg: Silicon Sheet: Cold Rolled Non Oriented, 0.5mm data is updated monthly, averaging 5,312.000 RMB/Ton from Dec 2011 (Median) to Mar 2025, with 160 observations. The data reached an all-time high of 7,525.330 RMB/Ton in May 2021 and a record low of 3,544.000 RMB/Ton in Dec 2015. China Transaction Price: 36 City Avg: Silicon Sheet: Cold Rolled Non Oriented, 0.5mm data remains active status in CEIC and is reported by Price Monitoring Center, NDRC. The data is categorized under China Premium Database’s Price – Table CN.PG: Steel Price.

Public Opinion Monitoring Service Market Outlook

The global public opinion monitoring service market size was valued at approximately USD 1.2 billion in 2023 and is projected to reach USD 3.6 billion by 2032, growing at a compound annual growth rate (CAGR) of 13.2% from 2024 to 2032. This substantial growth is driven by the increasing need for real-time public sentiment analysis to inform strategies across various sectors, from political campaigns to corporate market research.

One significant growth factor for the public opinion monitoring service market is the rising penetration of social media platforms. Social media has become a goldmine of public opinion, making it imperative for organizations to monitor these platforms to gauge public sentiment accurately. The accessibility and widespread use of social media generate massive amounts of data that can be analyzed to understand public opinion on various matters, ranging from product launches to political events. Companies and organizations are increasingly investing in tools and services that help them track and analyze this data in real-time, thus driving market growth.

Another crucial driver is the advancements in artificial intelligence (AI) and machine learning (ML) technologies. These technologies are enhancing the capabilities of public opinion monitoring services by providing more accurate and actionable insights. AI-powered tools can efficiently analyze large volumes of data, identify trends, and predict public opinion shifts. The integration of natural language processing (NLP) techniques into these services allows for more nuanced understanding and interpretation of public sentiment, leading to more informed decision-making. The continuous improvement and adoption of these technologies are expected to further propel market growth.

The increasing importance of data-driven decision-making is also a key factor contributing to the market's expansion. In today's competitive landscape, organizations across various sectors are relying more on data analytics to guide their strategies and actions. Public opinion monitoring services provide valuable insights that help organizations understand their audience better, predict future trends, and make informed decisions. This data-centric approach is becoming a cornerstone for success, prompting more entities to adopt these services, thereby boosting market growth.

Regionally, North America is expected to dominate the public opinion monitoring service market over the forecast period. This growth can be attributed to the high adoption rate of advanced technologies and the presence of key market players in the region. Additionally, the region's well-established IT infrastructure supports the deployment and integration of these services. Europe is also anticipated to witness significant growth due to the increasing emphasis on data privacy and the adoption of sophisticated analytics tools. The Asia Pacific region is projected to experience the highest CAGR, driven by the rapid digital transformation and the growing use of social media platforms.

Component Analysis

The public opinion monitoring service market by component is segmented into software and services. The software segment is anticipated to hold a significant share of the market due to the increasing demand for advanced analytical tools that provide real-time insights. These software solutions are designed to collect, analyze, and visualize data from various sources, including social media, news articles, and public forums. The growing need for automated sentiment analysis and trend identification is driving the adoption of these software solutions.

Within the software segment, AI and machine learning capabilities are becoming increasingly important. These technologies enable the software to process vast amounts of data quickly and accurately, providing deeper and more actionable insights. The integration of natural language processing (NLP) techniques further enhances the software's ability to interpret and analyze public sentiment. As organizations seek more sophisticated tools to stay ahead of public opinion trends, the demand for advanced software solutions is expected to grow.

The services segment includes consulting, implementation, and maintenance services. This segment is also poised for substantial growth as organizations often require expert guidance to effectively deploy and utilize public opinion monitoring tools. Consulting services help organizations identify the most suitable solutions for their needs, while implementation services ens

The global market size of Multi-Guide Sleep Monitor is $XX million in 2018 with XX CAGR from 2014 to 2018, and it is expected to reach $XX million by the end of 2024 with a CAGR of XX% from 2019 to 2024.
Global Multi-Guide Sleep Monitor Market Report 2019 - Market Size, Share, Price, Trend and Forecast is a professional and in-depth study on the current state of the global Multi-Guide Sleep Monitor industry. The key insights of the report:
1.The report provides key statistics on the market status of the Multi-Guide Sleep Monitor manufacturers and is a valuable source of guidance and direction for companies and individuals interested in the industry.
2.The report provides a basic overview of the industry including its definition, applications and manufacturing technology.
3.The report presents the company profile, product specifications, capacity, production value, and 2013-2018 market shares for key vendors.
4.The total market is further divided by company, by country, and by application/type for the competitive landscape analysis.
5.The report estimates 2019-2024 market development trends of Multi-Guide Sleep Monitor industry.
6.Analysis of upstream raw materials, downstream demand, and current market dynamics is also carried out
7.The report makes some important proposals for a new project of Multi-Guide Sleep Monitor Industry before evaluating its feasibility.
There are 4 key segments covered in this report: competitor segment, product type segment, end use/application segment and geography segment.
For competitor segment, the report includes global key players of Multi-Guide Sleep Monitor as well as some small players. At least 11 companies are included:
* BMC Medical
* CIDELEC
* CleveMed
* Compumedics
* Contec Medical Systems
* Curative Medical
For complete companies list, please ask for sample pages.
The information for each competitor includes:
* Company Profile
* Main Business Information
* SWOT Analysis
* Sales, Revenue, Price and Gross Margin
* Market Share

For product type segment, this report listed main product type of Multi-Guide Sleep Monitor market
* EGG
* Dynamic
* Video
For end use/application segment, this report focuses on the status and outlook for key applications. End users sre also listed.
* Hospital
* Scientific Research Institutions
* Other

For geography segment, regional supply, application-wise and type-wise demand, major players, price is presented from 2013 to 2023. This report covers following regions:
* North America
* South America
* Asia & Pacific
* Europe
* MEA (Middle East and Africa)
The key countries in each region are taken into consideration as well, such as United States, China, Japan, India, Korea, ASEAN, Germany, France, UK, Italy, Spain, CIS, and Brazil etc.

Reasons to Purchase this Report:
* Analyzing the outlook of the market with the recent trends and SWOT analysis
* Market dynamics scenario, along with growth opportunities of the market in the years to come
* Market segmentation analysis including qualitative and quantitative research incorporating the impact of economic and non-economic aspects
* Regional and country level analysis integrating the demand and supply forces that are influencing the growth of the market.
* Market value (USD Million) and volume (Units Million) data for each segment and sub-segment
* Competitive landscape involving the market share of major players, along with the new projects and strategies adopted by players in the past five years
* Comprehensive company profiles covering the product offerings, key financial information, recent developments, SWOT analysis, and strategies employed by the major market players
* 1-year analyst support, along with the data support in excel format.
We also can offer customized report to fulfill special requirements of our clients. Regional and Countries report can be provided as well.

Residential Property Price Indices (RPPIs) – also named House price indices (HPIs), are index numbers measuring the evolution of residential property prices over time. RPPIs are key statistics not only for citizens and households across the world, but also for economic and monetary policy makers. Among their professional uses, they serve, for example, to monitor macroeconomic imbalances and risk exposure of the financial sector.

“National and Regional House Price Indices” datasets include RPPI compiled by official statistical agencies following international statistical guidelines. It covers all OECD member countries and some non-member countries. Whenever possible, these RPPIs are broken down by region, dwelling type (single- and multi-family dwellings) and vintage (new and existing dwellings).

The dataset called “National and Regional House Price Indices” contains the full list of available RPPIs.

The market monitoring system was developed by the Cash-Based Responses Technical Working Group and REACH Turkey, after the CBR – TWG identified that monitoring markets on a regular basis in Syria was key to understand how markets function and cope with the challenges brought by the conflict, as well as with rough climate conditions. The market monitoring system also aims at informing program design to utilise existing markets, notably through cash-based responses and food assistance, to promote beneficiary empowerment and cost efficiency. Field staff will monitor prices and stock levels of basic commodities in markets in northern Syria on a monthly basis to inform and guide cash and voucher programs, as well as food assistance, for populations relying on the assessed markets.

Credit

The Market Assessment was carried out by partner organizations of the CBR - TWG and REACH, following an initiative launched by the Cash-Based Responses - Technical Working Group. This project is being funded by OFDA.

Rubber fell to 165.60 USD Cents / Kg on July 14, 2025, down 0.42% from the previous day. Over the past month, Rubber's price has risen 1.97%, and is up 2.86% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Rubber - values, historical data, forecasts and news - updated on July of 2025.

This dataset contains Food Prices data for Myanmar, sourced from the World Food Programme Price Database. The World Food Programme Price Database covers foods such as maize, rice, beans, fish, and sugar for 98 countries and some 3000 markets. It is updated weekly but contains to a large extent monthly data. The data goes back as far as 1992 for a few countries, although many countries started reporting from 2003 or thereafter.

The market monitoring system was developed by the Cash-Based Responses Technical Working Group and REACH Turkey, after the CBR – TWG identified that monitoring markets on a regular basis in Syria was key to understand how markets function and cope with the challenges brought by the conflict, as well as with rough climate conditions. The market monitoring system also aims at informing program design to utilise existing markets, notably through cash-based responses and food assistance, to promote beneficiary empowerment and cost efficiency. Field staff will monitor prices and stock levels of basic commodities in markets in northern Syria on a monthly basis to inform and guide cash and voucher programs, as well as food assistance, for populations relying on the assessed markets.

Resources

• July 2015

Credit

The Market Assessment was carried out by partner organizations of the CBR - TWG and REACH, following an initiative launched by the Cash-Based Responses - Technical Working Group. This project is being funded by OFDA.

Palm Oil rose to 4,175 MYR/T on July 11, 2025, up 0.68% from the previous day. Over the past month, Palm Oil's price has risen 8.72%, and is up 6.67% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Palm Oil - values, historical data, forecasts and news - updated on July of 2025.

Coffee fell to 288.72 USd/Lbs on July 11, 2025, down 0.41% from the previous day. Over the past month, Coffee's price has fallen 16.63%, but it is still 15.90% higher than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Coffee - values, historical data, forecasts and news - updated on July of 2025.

The global market size of Medical Radiation Detection & Monitoring is $XX million in 2018 with XX CAGR from 2014 to 2018, and it is expected to reach $XX million by the end of 2024 with a CAGR of XX% from 2019 to 2024.

Global Medical Radiation Detection & Monitoring Market Report 2019 - Market Size, Share, Price, Trend and Forecast is a professional and in-depth study on the current state of the global Medical Radiation Detection & Monitoring industry. The key insights of the report:

1.The report provides key statistics on the market status of the Medical Radiation Detection & Monitoring manufacturers and is a valuable source of guidance and direction for companies and individuals interested in the industry.

2.The report provides a basic overview of the industry including its definition, applications and manufacturing technology.

3.The report presents the company profile, product specifications, capacity, production value, and 2013-2018 market shares for key vendors.

4.The total market is further divided by company, by country, and by application/type for the competitive landscape analysis.

5.The report estimates 2019-2024 market development trends of Medical Radiation Detection & Monitoring industry.

6.Analysis of upstream raw materials, downstream demand, and current market dynamics is also carried out

7.The report makes some important proposals for a new project of Medical Radiation Detection & Monitoring Industry before evaluating its feasibility.

There are 4 key segments covered in this report: competitor segment, product type segment, end use/application segment and geography segment.

For competitor segment, the report includes global key players of Medical Radiation Detection & Monitoring as well as some small players. At least 9 companies are included:

* Landauer

* Mirion Technologies

* Thermo Fisher Scientific

* Ludlum Instruments

* Radiation Detection Company

* Biodex Medical Systems

For complete companies list, please ask for sample pages.

The information for each competitor includes:

* Company Profile

* Main Business Information

* SWOT Analysis

* Sales, Revenue, Price and Gross Margin

* Market Share



For product type segment, this report listed main product type of Medical Radiation Detection & Monitoring market

* Gas-Filled Detectors

* Scintillators

* Solid-State Detectors

For end use/application segment, this report focuses on the status and outlook for key applications. End users sre also listed.

* Hospitals

* Non-Hospitals

* Application 3



For geography segment, regional supply, application-wise and type-wise demand, major players, price is presented from 2013 to 2023. This report covers following regions:

* North America

* South America

* Asia & Pacific

* Europe

* MEA (Middle East and Africa)

The key countries in each region are taken into consideration as well, such as United States, China, Japan, India, Korea, ASEAN, Germany, France, UK, Italy, Spain, CIS, and Brazil etc.



Reasons to Purchase this Report:

* Analyzing the outlook of the market with the recent trends and SWOT analysis

* Market dynamics scenario, along with growth opportunities of the market in the years to come

* Market segmentation analysis including qualitative and quantitative research incorporating the impact of economic and non-economic aspects

* Regional and country level analysis integrating the demand and supply forces that are influencing the growth of the market.

* Market value (USD Million) and volume (Units Million) data for each segment and sub-segment

* Competitive landscape involving the market share of major players, along with the new projects and strategies adopted by players in the past five years

* Co