This statistic shows the leading vendors of big data and analytics software from 2015 to 2017. In 2017, Splunk was the largest big data and analytics software provider with 11 percent of the market.

The Shopee Products Dataset is a comprehensive resource that empowers businesses, researchers, and analysts to gain a holistic view of the Shopee e-commerce ecosystem. Whether your goal is to conduct market analysis, optimize pricing strategies, understand customer behavior, or evaluate competitors, this dataset offers the essential information you need to make informed decisions and succeed in the dynamic world of Shopee. At its core, this dataset provides key attributes such as product ID, title, ratings, reviews, pricing details, and seller information, among others. These fundamental data elements offer insights into product performance, customer sentiment, and seller credibility.

Comprehensive dataset of 51 Event ticket sellers in Colorado, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Discover the unparalleled potential of our comprehensive eCommerce leads database, featuring essential data fields such as Store Name, Website, Contact First Name, Contact Last Name, Email Address, Physical Address, City, State, Country, Zip Code, Phone Number, Revenue Size, Employee Size, and more on demand.

With a focus on Shopify, Amazon, eBay, and other global retail stores, this database equips you with accurate information for successful marketing campaigns. Supercharge your marketing efforts with our enriched contact and company database, providing real-time, verified data insights for strategic market assessments and effective buyer engagement across digital and traditional channels.

• 4M+ eCommerce Companies • 40M+ Worldwide eCommerce Leads • Direct Contact Info for Shop Owners • 47+ eCommerce Platforms • 40+ Data Points • Lifetime Access • 10+ Data Segmentations • Sample Data"

Retail sellers must apply online annually through the Department of Inspections, Appeals, and Licensing for a license to sell consumer fireworks in Iowa. This report returns information on licensed consumer fireworks retail sellers for the most current selling season, and a list of retail sellers for all seasons.

About this dataset

Context

The dataset tabulates the Sellers population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Sellers. The dataset can be utilized to understand the population distribution of Sellers by age. For example, using this dataset, we can identify the largest age group in Sellers.

Key observations

The largest age group in Sellers, SC was for the group of age 55 to 59 years years with a population of 31 (16.49%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Sellers, SC was the 25 to 29 years years with a population of 0 (0%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Sellers is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Sellers total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Sellers Population by Age. You can refer the same here

The statistic depicts the revenue generated by the data warehouse management software market, by vendor, from 2012 to 2014. In 2014, Oracle brought in *** billion U.S. dollars from the sale of data warehouse management software.

The Alternative Data Vendor market is experiencing robust growth, driven by the increasing demand for non-traditional data sources to enhance investment strategies and business decision-making. The market's expansion is fueled by the proliferation of digital data, advancements in data analytics, and a growing need for more comprehensive and nuanced insights across various sectors. The BFSI (Banking, Financial Services, and Insurance) sector remains a significant driver, leveraging alternative data for credit scoring, fraud detection, and risk management. However, growth is also witnessed in industrial, IT and telecommunications, and retail and logistics sectors as businesses seek competitive advantages through data-driven decision-making. The diverse types of alternative data, including credit card transactions, web data, sentiment analysis, and public data, cater to a wide range of applications. While data privacy and regulatory concerns pose challenges, the market is overcoming these hurdles through robust data anonymization and compliance strategies. The competitive landscape features both established players like S&P Global and Bloomberg, along with emerging technology-driven companies, fostering innovation and market expansion. We project a steady compound annual growth rate (CAGR) resulting in a substantial market expansion over the next decade. This growth is expected to be distributed across regions, with North America and Europe maintaining leading positions due to early adoption and developed data infrastructure. The forecast period from 2025 to 2033 anticipates continued market expansion, propelled by factors such as increasing data availability from IoT devices, refined analytical techniques, and expanding applications across new sectors. The market's segmentation by application and data type is expected to further evolve, with niche players focusing on specific data sets and industries. This specialized approach allows for deeper insights and catering to specific client needs. Geographic expansion will continue, with growth in Asia-Pacific particularly driven by the increasing adoption of digital technologies and expanding economic activity. Strategic partnerships and mergers and acquisitions will likely shape the competitive landscape, fostering consolidation and further innovation in alternative data solutions. Despite challenges related to data quality, security, and ethical considerations, the overall outlook for the Alternative Data Vendor market remains highly positive, with substantial growth opportunities over the long term.

About this dataset

Context

The dataset tabulates the data for the Sellers, SC population pyramid, which represents the Sellers population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Sellers, SC, is 28.8.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Sellers, SC, is 51.9.
• Total dependency ratio for Sellers, SC is 80.8.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Sellers, SC is 1.9.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group for the Sellers population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Sellers for the selected age group is shown in the following column.
• Population (Female): The female population in the Sellers for the selected age group is shown in the following column.
• Total Population: The total population of the Sellers for the selected age group is shown in the following column.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Sellers Population by Age. You can refer the same here

Comprehensive dataset of 44 Event ticket sellers in Fukuoka, Japan as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

This dataset provides information about the number of properties, residents, and average property values for Sellers Lane cross streets in Jacksonville, FL.

About this dataset

Context

The dataset tabulates the population of Sellers by race. It includes the population of Sellers across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Sellers across relevant racial categories.

Key observations

The percent distribution of Sellers population by race (across all racial categories recognized by the U.S. Census Bureau): 10.11% are white, 54.79% are Black or African American, 13.30% are American Indian and Alaska Native, 4.79% are some other race and 17.02% are multiracial.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (excluding ethnicity) for the Sellers
• Population: The population of the racial category (excluding ethnicity) in the Sellers is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Sellers total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Sellers Population by Race & Ethnicity. You can refer the same here

This dataset provides information about the number of properties, residents, and average property values for Old Sellers Road cross streets in Ramer, AL.

The San Francisco Controller's Office maintains a database of payments made to vendors from fiscal year 2007 forward. This data is presented on the Vendor Payments report hosted at http://openbook.sfgov.org, and is also available in this dataset in CSV format, which represents summary data by purchase order. We have removed sensitive information from this data – this is intended to show payments made to entities providing goods and services to the City and County and to protect individuals. For example, we have removed payments to employees (reimbursements, garnishments) and jury members, revenue refunds, payments for judgments and claims, witnesses, relocation and rehousing, and a variety of human services payments. New data is added on a weekly basis. Supplier payments represent payments to City contractors and vendors that provide goods and/or services to the City. Certain other non-supplier payee payments, which are made to parties other than traditional City contractors and vendors, are also included in this dataset, These include payments made for tax and fee refunds, rebates, settlements, etc.

Data Description: This data set contains all records of payments made to vendors by the City of Cincinnati from fiscal year 2014 to present. It includes information such as the department who paid for the service, the reason for payment, and vendor name.

Data Creation: This data is pulled directly from the City's financial software; which centralizes all department financial transactions city wide.

Data Created By: The Cincinnati Financial System (CFS)

Refresh Frequency: Weekly

Data Dictionary: A data dictionary providing definitions of columns and attributes is available as an attachment to this data set.

Processing: The City of Cincinnati is committed to providing the most granular and accurate data possible. In that pursuit the Office of Performance and Data Analytics facilitates standard processing to most raw data prior to publication. Processing includes but is not limited: address verification, geocoding, decoding attributes, and addition of administrative areas (i.e. Census, neighborhoods, police districts, etc.).

Data Usage: For directions on downloading and using open data please visit our How-to Guide: https://data.cincinnati-oh.gov/dataset/Open-Data-How-To-Guide/gdr9-g3ad

Internet Usage: Device Vendor Market Share: Mobile: Reeder data was reported at 0.000 % in 13 Nov 2024. This stayed constant from the previous number of 0.000 % for 12 Nov 2024. Internet Usage: Device Vendor Market Share: Mobile: Reeder data is updated daily, averaging 0.000 % from Nov 2024 (Median) to 13 Nov 2024, with 8 observations. The data reached an all-time high of 0.040 % in 09 Nov 2024 and a record low of 0.000 % in 13 Nov 2024. Internet Usage: Device Vendor Market Share: Mobile: Reeder data remains active status in CEIC and is reported by Statcounter Global Stats. The data is categorized under Global Database’s Sudan – Table SD.SC.IU: Internet Usage: Device Vendor Market Share.

In the United States in 2022, the majority of diagnostic vendors only shared data to health information exchanges (HIE) on a regional or state level. While around ** percent said they contributed data to a private HIE.

Luxembourg Internet Usage: Device Vendor Market Share: Tablet: TCL data was reported at 0.000 % in 12 May 2025. This stayed constant from the previous number of 0.000 % for 11 May 2025. Luxembourg Internet Usage: Device Vendor Market Share: Tablet: TCL data is updated daily, averaging 0.000 % from Jun 2024 (Median) to 12 May 2025, with 210 observations. The data reached an all-time high of 1.390 % in 28 Apr 2025 and a record low of 0.000 % in 12 May 2025. Luxembourg Internet Usage: Device Vendor Market Share: Tablet: TCL data remains active status in CEIC and is reported by Statcounter Global Stats. The data is categorized under Global Database’s Luxembourg – Table LU.SC.IU: Internet Usage: Device Vendor Market Share.

Empower your business with the most accurate and comprehensive B2B price data, sourced daily from 50+ key industry sources. Drive informed decision-making with our robust API, delivering GTIN-level pricing for a vast catalog. Enhance your software solutions with valuable market insights and build competitive advantages for your stakeholders.

Comprehensive dataset of 4 Event ticket sellers in Komi Republic, Russia as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.