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The Health Insurance Marketplace Public Use Files contain data on health and dental plans offered to individuals and small businesses through the US Health Insurance Marketplace.
To help get you started, here are some data exploration ideas:
See this forum thread for more ideas, and post there if you want to add your own ideas or answer some of the open questions!
This data was originally prepared and released by the Centers for Medicare & Medicaid Services (CMS). Please read the CMS Disclaimer-User Agreement before using this data.
Here, we've processed the data to facilitate analytics. This processed version has three components:
The original versions of the 2014, 2015, 2016 data are available in the "raw" directory of the download and "../input/raw" on Kaggle Scripts. Search for "dictionaries" on this page to find the data dictionaries describing the individual raw files.
In the top level directory of the download ("../input" on Kaggle Scripts), there are six CSV files that contain the combined at across all years:
Additionally, there are two CSV files that facilitate joining data across years:
The "database.sqlite" file contains tables corresponding to each of the processed CSV files.
The code to create the processed version of this data is available on GitHub.
Marketplace (1st change) in the data format INSPIRE PLU version 4.0.1
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In 2023, the UK Digital Marketplace Market reached a value of USD 21.15 billion, and it is projected to surge to USD 37.55 billion by 2030.
Amazon Business is the most popular business-to-business (B2B) generalist marketplace, a worldwide survey from 2022 revealed. ** percent of B2B buyers stated to have used it, while eBay followed with usage rate of nearly ** percent. ** percent of respondents used Chinese marketplace Alibaba.
The dataset here provides the total number of Qualified Health Plan selections by ZIP Code for 37 states for the second Health Insurance Marketplace open enrollment period (November 15, 2014 – February 15, 2015, including additional special enrollment period activity reported through February 22, 2015).
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The e-commerce marketplace aggregator market is experiencing robust growth, driven by the increasing preference for online shopping and the desire for consumers to compare prices and products across multiple platforms efficiently. This market facilitates seamless cross-platform shopping, simplifying the online purchasing journey and enhancing the overall consumer experience. The market's Compound Annual Growth Rate (CAGR) is estimated to be around 15% for the forecast period 2025-2033, indicating significant expansion opportunities. This growth is fueled by several key factors, including the rising adoption of smartphones and mobile commerce, the proliferation of e-commerce marketplaces, and the increasing demand for personalized shopping experiences. Further driving growth are technological advancements, such as improved search algorithms and AI-powered recommendation engines, which enhance the aggregator's ability to present relevant product suggestions to users. Despite promising growth, the market faces certain challenges. Competition among existing players is intense, and maintaining a competitive edge requires continuous innovation and investment in technology. Data security and privacy concerns are paramount, demanding robust security measures to safeguard user information. Furthermore, ensuring compatibility across diverse e-commerce platforms presents a technical hurdle. Successful players will need to overcome these challenges by focusing on a user-friendly interface, enhanced data security features, and robust partnerships with major e-commerce platforms. Market segmentation shows strong growth in the apparel and electronics application segments, with subscription-based models and AI-driven price comparison tools leading the type segment. Geographically, North America and Asia-Pacific are expected to dominate the market due to high internet penetration and e-commerce adoption rates.
This dataset provides information about the number of properties, residents, and average property values for Marketplace Drive cross streets in Rochester, NY.
In 2019, the North American marketplace Vinsuite was the leading platform for B2B e-commerce in the food industry in terms of worldwide online traffic.The online traffic ranking provided by Alexa showed that the Chinese e-commerce 21Food was the second-most visited marketplace by businesses operating in the food industry.
Coconala Inc. counted 939 thousand skills registrants in its marketplace segment in the fourth quarter of fiscal year 2024. The company offers various online services, such as a marketplace for knowledge and skills, a legal consultation medium, and agent services that connect customers with IT freelancers and content creators.
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Global API Marketplace Software market size 2025 was XX Million. API Marketplace Software Industry compound annual growth rate (CAGR) will be XX% from 2025 till 2033.
As of July 2025, RK World Infocom Pvt was the most popular seller on the India marketplace of Amazon. With over ****** reviews, the brand preceded Cocoblu Retail (****** reviews) and Clicktech Retail (*******reviews).
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
According to INSPIRE transformed development plan "Nördlich Marktplatz" of the city of Vaihingen an der Enz based on an XPlanung data set in version 5.0.
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The second-hand shopping app market is experiencing robust growth, driven by increasing consumer awareness of sustainability, the desire for unique and affordable fashion, and the convenience of mobile commerce. The market's expansion is fueled by a confluence of factors: the rise of the sharing economy, the increasing popularity of secondhand fashion amongst younger demographics, and a growing recognition of the environmental impact of fast fashion. While precise market sizing data is unavailable, considering global e-commerce growth and the penetration of smartphone usage, a reasonable estimate for the 2025 market size could be around $15 billion USD, considering the various applications and business-to-consumer and consumer-to-consumer segments. This market is anticipated to experience a Compound Annual Growth Rate (CAGR) of approximately 15% from 2025-2033, projecting significant expansion in the coming years. Key drivers include the aforementioned sustainability concerns, coupled with the appeal of finding unique items unavailable in traditional retail settings. Furthermore, the success of established players like Poshmark, Depop, and ThredUp demonstrates the market's viability and potential for further disruption. However, challenges remain, including concerns about authenticity verification, logistics complexities, and competitive pressures from new entrants and established e-commerce giants integrating secondhand marketplaces into their existing platforms. Segment analysis reveals the mobile phone application segment is the most dominant, fueled by the ease of access and user-friendly interfaces. The B2C segment likely holds a larger market share than C2C due to the established infrastructure and trust built around verified sellers in B2C platforms. Regional variations exist, with North America and Europe currently representing significant market shares, but Asia Pacific is poised for considerable growth, especially within countries like India and China. The market's future trajectory hinges on continued technological advancements, improved authentication and fraud prevention mechanisms, and successful expansion into new geographic markets. The incorporation of features like augmented reality for virtual try-ons and the use of sophisticated algorithms to enhance search and discovery could propel further growth. Effective strategies for building trust and addressing consumer concerns about product quality and authenticity are crucial for sustained success. The focus will likely shift towards more personalized user experiences, better integration with social media platforms, and a wider range of product categories beyond apparel, including furniture, electronics, and other household items. The competition will intensify, requiring players to differentiate themselves through innovation, strong brand building, and efficient logistical operations. Expansion into underserved markets globally and the development of sustainable practices across the entire supply chain will also become increasingly important.
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License information was derived automatically
Retail Sales at Marketplace: CF: City of Moscow data was reported at 385,425.300 RUB mn in 2022. This records a decrease from the previous number of 440,203.000 RUB mn for 2021. Retail Sales at Marketplace: CF: City of Moscow data is updated yearly, averaging 415,654.200 RUB mn from Dec 1995 (Median) to 2022, with 28 observations. The data reached an all-time high of 795,098.200 RUB mn in 2014 and a record low of 22,976.000 RUB mn in 1999. Retail Sales at Marketplace: CF: City of Moscow data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Global Database’s Russian Federation – Table RU.H014: Retail Trade: Sales at Marketplace: by Region.
The eCommerce activity of AV Marketplace, Inc. amounted to US$2m in 2024. Learn more about their online business including detailed eCommerce revenue analytics.
https://www.statsndata.org/how-to-orderhttps://www.statsndata.org/how-to-order
The IT Spending in the Food Delivery Marketplace has become a significant focus area, reflecting the evolving landscape of how consumers access dining experiences today. As the food delivery sector experiences explosive growth, fueled by changing consumer preferences toward convenience and fast service, investments
Financial overview and grant giving statistics of Wabash Marketplace Inc.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Russia Retail Trade Turnover: Annual: Retail Sales at Marketplace data was reported at 1,779,902.900 RUB mn in 2018. This records a decrease from the previous number of 1,865,950.900 RUB mn for 2017. Russia Retail Trade Turnover: Annual: Retail Sales at Marketplace data is updated yearly, averaging 50,561.200 RUB mn from Dec 1970 (Median) to 2018, with 49 observations. The data reached an all-time high of 2,298,988.300 RUB mn in 2014 and a record low of 1.700 RUB mn in 1970. Russia Retail Trade Turnover: Annual: Retail Sales at Marketplace data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Wholesale, Retail and Catering Sector – Table RU.RJA001: Retail Trade Turnover.
During a global 2022 survey, ** percent of responding advertising agencies stated that there was some or high scarcity of data and analytics skills in the marketplace. Measurement abilities followed with ** percent.
https://webtechsurvey.com/termshttps://webtechsurvey.com/terms
A complete list of live websites using the Hivepress Marketplace technology, compiled through global website indexing conducted by WebTechSurvey.
https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
The Health Insurance Marketplace Public Use Files contain data on health and dental plans offered to individuals and small businesses through the US Health Insurance Marketplace.
To help get you started, here are some data exploration ideas:
See this forum thread for more ideas, and post there if you want to add your own ideas or answer some of the open questions!
This data was originally prepared and released by the Centers for Medicare & Medicaid Services (CMS). Please read the CMS Disclaimer-User Agreement before using this data.
Here, we've processed the data to facilitate analytics. This processed version has three components:
The original versions of the 2014, 2015, 2016 data are available in the "raw" directory of the download and "../input/raw" on Kaggle Scripts. Search for "dictionaries" on this page to find the data dictionaries describing the individual raw files.
In the top level directory of the download ("../input" on Kaggle Scripts), there are six CSV files that contain the combined at across all years:
Additionally, there are two CSV files that facilitate joining data across years:
The "database.sqlite" file contains tables corresponding to each of the processed CSV files.
The code to create the processed version of this data is available on GitHub.