20 datasets found
  1. Amazon Prime users in the U.S. 2024, by age group

    • statista.com
    Updated Oct 15, 2024
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    Statista Research Department (2024). Amazon Prime users in the U.S. 2024, by age group [Dataset]. https://www.statista.com/topics/4076/amazon-prime/
    Explore at:
    Dataset updated
    Oct 15, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Description

    In the United States, consumers from Generation X are more likely to use Amazon Prime services, a survey from 2024 revealed. Nearly 35 percent of them were Amazon Prime subscribers, while boomers followed, as about 33 percent reported to be Prime members.

  2. Amazon Prime Dataset

    • brightdata.com
    .json, .csv, .xlsx
    Updated Dec 5, 2024
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    Bright Data (2024). Amazon Prime Dataset [Dataset]. https://brightdata.com/products/datasets/amazon/prime
    Explore at:
    .json, .csv, .xlsxAvailable download formats
    Dataset updated
    Dec 5, 2024
    Dataset authored and provided by
    Bright Datahttps://brightdata.com/
    License

    https://brightdata.com/licensehttps://brightdata.com/license

    Area covered
    Worldwide
    Description

    Unlock powerful insights with the Amazon Prime dataset, offering access to millions of records from any Amazon domain. This dataset provides comprehensive data points such as product titles, descriptions, exclusive Prime discounts, brand details, pricing (initial and discounted), availability, customer ratings, reviews, and product categories. Additionally, it includes unique identifiers like ASINs, images, and seller information, allowing you to analyze Prime offerings, trends, and customer preferences with precision. Use this dataset to optimize your eCommerce strategies by analyzing Prime-exclusive pricing strategies, identifying top-performing brands and products, and tracking customer sentiment through reviews and ratings. Gain valuable insights into consumer demand, seasonal trends, and the impact of Prime discounts to make data-driven decisions that enhance your inventory management, marketing campaigns, and pricing strategies. Whether you’re a retailer, marketer, data analyst, or researcher, the Amazon Prime dataset empowers you with the data needed to stay competitive in the dynamic eCommerce landscape. Available in various formats such as JSON, CSV, and Parquet, and delivered via flexible options like API, S3, or email, this dataset ensures seamless integration into your workflows.

  3. c

    Amazon prime tv shows and movies dataset

    • crawlfeeds.com
    csv, zip
    Updated Jul 4, 2025
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    Crawl Feeds (2025). Amazon prime tv shows and movies dataset [Dataset]. https://crawlfeeds.com/datasets/amazon-prime-tv-shows-and-movies-dataset
    Explore at:
    zip, csvAvailable download formats
    Dataset updated
    Jul 4, 2025
    Dataset authored and provided by
    Crawl Feeds
    License

    https://crawlfeeds.com/privacy_policyhttps://crawlfeeds.com/privacy_policy

    Description

    Amazon Prime TV Shows and Movies Dataset offered by Crawl Feeds is an extensive resource containing over 92,000 records in JSON format. This dataset encompasses a wide array of data points, including links, titles, descriptions, release dates, genres, posters, streaming platforms, countries, number of seasons, content ratings, IMDb ratings, cast and crew details, unique identifiers, and scraping timestamps. Such comprehensive information is invaluable for researchers, data analysts, and developers aiming to conduct in-depth analyses, develop recommendation systems, or explore trends within Amazon Prime's content library.

    For those interested in broader media datasets, Crawl Feeds also offers the Movies and TV Shows Dataset, which includes 118,000 records, and the IMDb Movie Details Dataset, comprising 250,000 records. These datasets provide extensive information across various platforms, facilitating comparative studies and cross-platform analyses.

    Integrating these datasets into your projects can significantly enhance the depth and quality of your analyses, providing a robust foundation for exploring various facets of the entertainment industry. Whether you're developing a new application, conducting market research, or performing academic studies, these datasets serve as a valuable resource for gaining insights into the dynamic world of streaming media.

    Explore the Amazon Prime TV Shows and Movies Dataset and other related datasets on Crawl Feeds to elevate your data-driven projects.

  4. r

    Amazon Prime Member Annual Spending Data 2019-2024

    • redstagfulfillment.com
    html
    Updated May 19, 2025
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    Red Stag Fulfillment (2025). Amazon Prime Member Annual Spending Data 2019-2024 [Dataset]. https://redstagfulfillment.com/average-annual-spend-of-an-amazon-prime-member/
    Explore at:
    htmlAvailable download formats
    Dataset updated
    May 19, 2025
    Dataset authored and provided by
    Red Stag Fulfillment
    Time period covered
    2019 - 2024
    Area covered
    United States
    Variables measured
    Prime Day spending averages, Annual Prime member spending, Demographic spending patterns, Annual non-Prime customer spending, Prime membership penetration rates
    Description

    Comprehensive dataset tracking Amazon Prime member spending patterns from 2019-2024, including comparison with non-Prime customers and demographic breakdowns

  5. g

    Amazon review data 2018

    • nijianmo.github.io
    • cseweb.ucsd.edu
    • +1more
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    UCSD CSE Research Project, Amazon review data 2018 [Dataset]. https://nijianmo.github.io/amazon/
    Explore at:
    Dataset authored and provided by
    UCSD CSE Research Project
    Description

    Context

    This Dataset is an updated version of the Amazon review dataset released in 2014. As in the previous version, this dataset includes reviews (ratings, text, helpfulness votes), product metadata (descriptions, category information, price, brand, and image features), and links (also viewed/also bought graphs). In addition, this version provides the following features:

    • More reviews:

      • The total number of reviews is 233.1 million (142.8 million in 2014).
    • New reviews:

      • Current data includes reviews in the range May 1996 - Oct 2018.
    • Metadata: - We have added transaction metadata for each review shown on the review page.

      • Added more detailed metadata of the product landing page.

    Acknowledgements

    If you publish articles based on this dataset, please cite the following paper:

    • Jianmo Ni, Jiacheng Li, Julian McAuley. Justifying recommendations using distantly-labeled reviews and fined-grained aspects. EMNLP, 2019.
  6. Amazon Prime TV Shows

    • kaggle.com
    Updated Oct 13, 2020
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    Neelima Jauhari (2020). Amazon Prime TV Shows [Dataset]. https://www.kaggle.com/nilimajauhari/amazon-prime-tv-shows/discussion
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Oct 13, 2020
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Neelima Jauhari
    Description

    Context

    This data set was created so as to analyze the latest shows available on Amazon Prime as well as the shows with a high rating.

    Content

    The data set contains the name of the show or title, year of the release which is the year in which the show was released or went on-air, No.of seasons means the number of seasons of the show which are available on Prime, Language is for the audio language of the show and does not take into consideration the language of the subtitles, genre of the show like Kids, Drama, Action and so on, IMDB ratings of the show: though for many tv shows and kid shows the rating was not available, Age of Viewers is to specify the age of the target audience- All in age means that the content is not restricted to any particular age group and all audiences can view it.

    Acknowledgements

    I have collected this data from Amazon Prime's Website.

    Inspiration

    Since a lot many TV shows have high IMDB ratings but don't get viewed that much because the audience is not aware of it or it is not advertised much. I have created this data set so as to find out the highest-rated shows in each category or in a particular genre.

  7. Amazon Prime TV Shows and Movies

    • kaggle.com
    Updated May 14, 2022
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    Victor Soeiro (2022). Amazon Prime TV Shows and Movies [Dataset]. https://www.kaggle.com/datasets/victorsoeiro/amazon-prime-tv-shows-and-movies/data
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 14, 2022
    Dataset provided by
    Kaggle
    Authors
    Victor Soeiro
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Amazon Prime - Movies and TV Dramas

    This data set was created to list all shows available on Amazon Prime streaming, and analyze the data to find interesting facts. This data was acquired in May 2022 containing data available in the United States.

    Content

    This dataset has two files containing the titles (titles.csv) and the cast (credits.csv) for the title.

    This dataset contains +9k unique titles on Amazon Prime with 15 columns containing their information, including:

    • id: The title ID on JustWatch.
    • title: The name of the title.
    • show_type: TV show or movie.
    • description: A brief description.
    • release_year: The release year.
    • age_certification: The age certification.
    • runtime: The length of the episode (SHOW) or movie.
    • genres: A list of genres.
    • production_countries: A list of countries that produced the title.
    • seasons: Number of seasons if it's a SHOW.
    • imdb_id: The title ID on IMDB.
    • imdb_score: Score on IMDB.
    • imdb_votes: Votes on IMDB.
    • tmdb_popularity: Popularity on TMDB.
    • tmdb_score: Score on TMDB.

    And over +124k credits of actors and directors on Amazon Prime titles with 5 columns containing their information:

    • person_ID: The person ID on JustWatch.
    • id: The title ID on JustWatch.
    • name: The actor or director's name.
    • character_name: The character name.
    • role: ACTOR or DIRECTOR.

    Tasks

    • Developing a content-based recommender system using the genres and/or descriptions.
    • Identifying the main content available on the streaming.
    • Network analysis on the cast of the titles.
    • Exploratory data analysis to find interesting insights.

    Other Streaming Datasets

    How to obtain the data

    If you want to see how I obtained these data, please check my GitHub repository.

    Acknowledgements

    All data were collected from JustWatch.

  8. Global net revenue of Amazon 2014-2024, by product group

    • statista.com
    • ai-chatbox.pro
    Updated Feb 24, 2025
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    Statista (2025). Global net revenue of Amazon 2014-2024, by product group [Dataset]. https://www.statista.com/statistics/672747/amazons-consolidated-net-revenue-by-segment/
    Explore at:
    Dataset updated
    Feb 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    In 2024, Amazon's net revenue from subscription services segment amounted to 44.37 billion U.S. dollars. Subscription services include Amazon Prime, for which Amazon reported 200 million paying members worldwide at the end of 2020. The AWS category generated 107.56 billion U.S. dollars in annual sales. During the most recently reported fiscal year, the company’s net revenue amounted to 638 billion U.S. dollars. Amazon revenue segments Amazon is one of the biggest online companies worldwide. In 2019, the company’s revenue increased by 21 percent, compared to Google’s revenue growth during the same fiscal period, which was just 18 percent. The majority of Amazon’s net sales are generated through its North American business segment, which accounted for 236.3 billion U.S. dollars in 2020. The United States are the company’s leading market, followed by Germany and the United Kingdom. Business segment: Amazon Web Services Amazon Web Services, commonly referred to as AWS, is one of the strongest-growing business segments of Amazon. AWS is a cloud computing service that provides individuals, companies and governments with a wide range of computing, networking, storage, database, analytics and application services, among many others. As of the third quarter of 2020, AWS accounted for approximately 32 percent of the global cloud infrastructure services vendor market.

  9. Disney+ Movies and TV Shows

    • kaggle.com
    Updated Nov 29, 2021
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    Shivam Bansal (2021). Disney+ Movies and TV Shows [Dataset]. https://www.kaggle.com/datasets/shivamb/disney-movies-and-tv-shows/code
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Nov 29, 2021
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Shivam Bansal
    Description

    About this Dataset: Disney+ is another one of the most popular media and video streaming platforms. They have close to 1300 movies or tv shows available on their platform, as of mid-2021, they have over 116M Subscribers globally. This tabular dataset consists of listings of all the movies and tv shows available on Amazon Prime, along with details such as - cast, directors, ratings, release year, duration, etc.

    Interesting Task Ideas

    1. Understanding what content is available in different countries
    2. Identifying similar content by matching text-based features
    3. Network analysis of Actors / Directors and find interesting insights
    4. Does Disney+ has more focus on TV Shows than movies in recent years.

    Other Platform's Datasets (Click on the logos to view)

    ![alt text][1] ![alt text][3] ![alt text][5] ![alt text][7] [1]: https://i.imgur.com/As0PMcL.jpg =75x20

    [3]: https://i.imgur.com/r5t3MpQ.jpg =75x20

    [5]: https://i.imgur.com/4a4ZMuy.png =75x30

    [7]: https://i.imgur.com/nCL8Skc.png?1 =75x32

  10. d

    India Email Receipt Panel Dataset (Direct from Data Originator) *No PII*

    • datarade.ai
    .csv, .xls
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    Vumonic, India Email Receipt Panel Dataset (Direct from Data Originator) *No PII* [Dataset]. https://datarade.ai/data-products/india-email-receipt-panel-dataset-direct-from-data-originato-vumonic
    Explore at:
    .csv, .xlsAvailable download formats
    Dataset authored and provided by
    Vumonic
    Area covered
    India
    Description

    SUMMARY:

    Vumonic provides its clients email receipt datasets on weekly, monthly, or quarterly subscriptions, for any online consumer vertical. We gain consent-based access to our users' email inboxes through our own proprietary apps, from which we gather and extract all the email receipts and put them into a structured format for consumption of our clients. We currently have over 1M users in our India panel.

    If you are not familiar with email receipt data, it provides item and user-level transaction information (all PII-wiped), which allows for deep granular analysis of things like marketshare, growth, competitive intelligence, and more.

    VERTICALS:

    • Ecommerce (Amazon, Flipkart, Myntra, Nykaa)
    • Taxi (Uber, Ola)
    • Food Delivery (Swiggy, Zomato)
    • OTT (Netflix, Amazon Prime Video, Disney+)
    • Appstore (Apple App Store and Google Playstore)
    • OTA (Expedia, Booking.com, GoIbibo)
    • E-wallets (PhonePe, PayTM)
    • Education (Byju's, Unacademy)

    PRICING/QUOTE:

    Our email receipt data is priced market-rate based on the requirement. To give a quote, all we need to know is:

    • what vertical you are interested in
    • how often do you wish to receive the data, and
    • do you want any backdata (e.g. from 2019 onwards)

    Send us over this info and we can answer any questions you have, provide sample, and more.

  11. A

    ‘Netflix TV Series Dataset’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Feb 13, 2022
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2022). ‘Netflix TV Series Dataset’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/kaggle-netflix-tv-series-dataset-7f65/be8ddd0d/?iid=003-165&v=presentation
    Explore at:
    Dataset updated
    Feb 13, 2022
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

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

    Description

    Analysis of ‘Netflix TV Series Dataset’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/harshitshankhdhar/netflix-and-amazon-prime-tv-series-dataset on 13 February 2022.

    --- Dataset description provided by original source is as follows ---

    Context

    This data is scraped from wikipedia site.

    Content

    • Title - Name of the Series.
    • Genre - Genre of the series.
    • Premiere - Released Year
    • No_of_Seasons - Total number of Seasons
    • No_of_Episodes - Total number of episodes.

    Inspiration

    • How many seasons and episodes a series have?
    • When it released?
    • What are the different genre of the TV Series?

    --- Original source retains full ownership of the source dataset ---

  12. B

    B2C E-commerce Market Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Mar 31, 2025
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    Archive Market Research (2025). B2C E-commerce Market Report [Dataset]. https://www.archivemarketresearch.com/reports/b2c-e-commerce-market-4843
    Explore at:
    doc, pdf, pptAvailable download formats
    Dataset updated
    Mar 31, 2025
    Dataset authored and provided by
    Archive Market Research
    License

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

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

    The B2C E-commerce Market size was valued at USD 6.23 trillion in 2023 and is projected to reach USD 21.18 trillion by 2032, exhibiting a CAGR of 19.1 % during the forecasts period. The B2C e-commerce can be defined as the sale of commercial products or services through the internet between buyers and sellers. This market pertains to several industries that fall under its fold that includes the area of retail, travelling, electronics and digital products. Some of the most common implementations are in the ecommerce sites, mobile applications, and membership services. Some aspects of the B2C e-commerce market include increased popularity of omnichannel retailing that combines online and offline environments and the shift to the concept of individualization due to the digitalization and data processing using artificial intelligence and machine learning. Also, growth is noted in mobile commerce (m-commerce) as a result of the increase in the number of mobile devices and more effective mobile payments. To this list one should also include the concepts of social commerce and sustainability which also became significant in today’s society due to increasing importance of ethical and convenient shopping. Recent developments include: In March 2024, Blink, an Amazon company, launched the Blink Mini 2 camera. The new compact plug-in camera offers enhanced features such as person detection, a broader field of view, a built-in LED spotlight for night view in color, and improved image quality. The Blink Mini 2 is designed to work indoors and outdoors, with the option to purchase the Blink Weather Resistant Power Adapter for outdoor use. , In October 2023, Flipkart.com introduced the 'Flipkart Commerce Cloud,' a customized suite of AI-driven retail technology solutions for global retailers and e-commerce businesses. This extensive offering includes marketplace technology, retail media solutions, pricing, and inventory management features rigorously assessed by Flipkart.com. The company aims to equip international sellers with reliable and secure tools to enhance business expansion and efficiency within the competitive global market. , In August 2023, Shopify and Amazon.com, Inc. announced a strategic partnership that will allow Shopify merchants to seamlessly implement Amazon's "Buy with Prime" option on their sites. As a result of the agreement, Amazon.com, Inc. Prime customers will enjoy a more efficient checkout process on various platforms. This collaboration allows Amazon Prime members to utilize their existing Amazon payment options, while Shopify will handle the transaction processing through its system, showcasing a partnership between the two leading companies. , In February 2023, eBay acquired 3PM Shield, a developer of AI-powered online retail solutions. 3PM Shield uses machine learning and artificial intelligence to analyze extensive data sets, enhancing marketplace compliance and user experience. This acquisition aligns with eBay's goal to offer a "safe and reliable" platform by boosting its ability to block the sale of counterfeit and prohibited items. By incorporating 3PM Shield's sophisticated monitoring technologies, eBay seeks to enhance its capability to address problematic seller behavior and spot problematic listings, fostering a safer e-commerce space for its worldwide community of sellers and buyers. .

  13. h

    Amazon-Reviews-2023

    • huggingface.co
    Updated Sep 15, 2023
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    McAuley-Lab (2023). Amazon-Reviews-2023 [Dataset]. https://huggingface.co/datasets/McAuley-Lab/Amazon-Reviews-2023
    Explore at:
    Dataset updated
    Sep 15, 2023
    Dataset authored and provided by
    McAuley-Lab
    Description

    Amazon Review 2023 is an updated version of the Amazon Review 2018 dataset. This dataset mainly includes reviews (ratings, text) and item metadata (desc- riptions, category information, price, brand, and images). Compared to the pre- vious versions, the 2023 version features larger size, newer reviews (up to Sep 2023), richer and cleaner meta data, and finer-grained timestamps (from day to milli-second).

  14. Disney+ TV Shows and Movies

    • kaggle.com
    Updated May 13, 2022
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    Victor Soeiro (2022). Disney+ TV Shows and Movies [Dataset]. https://www.kaggle.com/victorsoeiro/disney-tv-shows-and-movies/discussion
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 13, 2022
    Dataset provided by
    Kaggle
    Authors
    Victor Soeiro
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Disney+ - TV Shows and Movies

    This data set was created to list all shows available on Disney+ streaming, and analyze the data to find interesting facts. This data was acquired in May 2022 containing data available in the United States.

    Content

    This dataset has two files containing the titles (titles.csv) and the cast (credits.csv) for the title.

    This dataset contains +1500 unique titles on Disney+ with 15 columns containing their information, including:

    • id: The title ID on JustWatch.
    • title: The name of the title.
    • show_type: TV show or movie.
    • description: A brief description.
    • release_year: The release year.
    • age_certification: The age certification.
    • runtime: The length of the episode (SHOW) or movie.
    • genres: A list of genres.
    • production_countries: A list of countries that produced the title.
    • seasons: Number of seasons if it's a SHOW.
    • imdb_id: The title ID on IMDB.
    • imdb_score: Score on IMDB.
    • imdb_votes: Votes on IMDB.
    • tmdb_popularity: Popularity on TMDB.
    • tmdb_score: Score on TMDB.

    And over +26k credits of actors and directors on Disney+ titles with 5 columns containing their information, including:

    • person_ID: The person ID on JustWatch.
    • id: The title ID on JustWatch.
    • name: The actor or director's name.
    • character_name: The character name.
    • role: ACTOR or DIRECTOR.

    Tasks

    • Developing a content-based recommender system using the genres and/or descriptions.
    • Identifying the main content available on the streaming.
    • Network analysis on the cast of the titles.
    • Exploratory data analysis to find interesting insights.

    Other Streaming Datasets

    How to obtain the data

    If you want to see how I obtained these data, please check my GitHub repository.

    Acknowledgements

    All data were collected from JustWatch.

  15. Amazon, Alibaba and eBay: 2013-2024 Revenue.

    • kaggle.com
    Updated Jun 6, 2024
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    Patrick L Ford (2024). Amazon, Alibaba and eBay: 2013-2024 Revenue. [Dataset]. http://doi.org/10.34740/kaggle/dsv/8616281
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 6, 2024
    Dataset provided by
    Kaggle
    Authors
    Patrick L Ford
    License

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

    Description

    Introduction

    Amazon, Alibaba, and eBay: The Giants of E-commerce

    Three companies have revolutionised how we shop online: Amazon, Alibaba, and eBay. Their origins, growth, and impact on global commerce are remarkable: - Amazon: Founded by Jeff Bezos in 1994, Amazon began as an online bookstore. It rapidly expanded its product range, invested heavily in technology and logistics, and introduced groundbreaking services like Amazon Prime and Amazon Web Services (AWS). Today, Amazon is a leader in e-commerce, cloud computing, and innovation. - Alibaba: Founded by Jack Ma in 1999, Alibaba aimed to connect Chinese manufacturers with international buyers. Through platforms like Alibaba.com, Taobao, and Tmall, it transformed e-commerce in China and became a global player in digital payments and financial services through Ant Group. - eBay: Started by Pierre Omidyar in 1995 as an online auction site, eBay quickly became a popular platform for buying and selling a wide variety of goods. It pioneered consumer-to-consumer (C2C) commerce, fostered a vibrant online community, and expanded globally.

    These companies have distinct strengths and growth trajectories: - Amazon leads in technological innovation and customer-centric services. - Alibaba dominates the Chinese market and is influential in digital payments. - eBay pioneered C2C commerce and maintains a strong global presence.

    Together, Amazon, Alibaba, and eBay have shaped the modern e-commerce landscape, democratised commerce, and continue to influence how we buy and sell goods around the world.

    Amazon, Alibaba, and eBay, their origins, sales, growth, and impact:

    Amazon

    Founding and Early Days

    • Founded: July 5, 1994
    • Founder: Jeff Bezos
    • Headquarters: Seattle, Washington, USA

    Amazon began as an online bookstore. Jeff Bezos, who was then a Wall Street hedge fund executive, decided to capitalise on the growth of the internet in the 1990s. He left his job, moved to Seattle, and started Amazon in his garage.

    Growth and Expansion

    • Initial Growth: The company's initial business model allowed it to offer more books than traditional bookstores. The first book sold was "Fluid Concepts and Creative Analogies" by Douglas Hofstadter.
    • Diversification: By the late 1990s, Amazon expanded its product line to include electronics, toys, and household goods. This diversification helped Amazon grow rapidly.
    • Technology and Logistics: Amazon invested heavily in technology and logistics to improve its supply chain efficiency. It built extensive warehousing and delivery infrastructure, which became critical to its success.

    Key Milestones

    • Amazon Prime: Launched in 2005, this subscription service offers free two-day shipping, streaming services, and other benefits. It became a significant driver of customer loyalty.
    • AWS (Amazon Web Services): Started in 2006, AWS provides cloud computing services and has become a major revenue source for Amazon, establishing it as a leader in the tech industry.
    • Acquisitions: Amazon acquired several companies to bolster its offerings, including Zappos, Whole Foods Market, and Ring.

    Impact

    • E-commerce Leader: Amazon revolutionised online shopping with its vast selection, customer reviews, and recommendation algorithms.
    • Economic Influence: The company's practices have influenced labour, retail, and technology sectors globally.
    • Innovation: Amazon has pioneered in areas like AI with Alexa, cashier-less stores with Amazon Go, and drone delivery with Prime Air.

    Visualisation

    https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F13231939%2Fdeff29b30a7e890d46ecfd32b8e468cc%2FScreenshot%202024-06-05%2020.26.14.png?generation=1717615837865701&alt=media" alt="">

    A Markdown document with R code for the above chart, with a full chart explanation. link

    Amazon Chart

    • Significant Growth: Steady increase in quarterly sales revenue over the years.
    • Seasonal Influence: Strong seasonal fluctuations, with Q4 consistently being the highest-performing quarter due to the holiday season.
    • Revenue Variability: Expanding range of quarterly sales, reflecting business growth.
    • Quarterly Performance: Consistent relative performance of each quarter, with Q4 standing out.

    Alibaba

    Founding and Early Days

    • Founded: April 4, 1999
    • Founder: Jack Ma and a team of 17 others
    • Headquarters: Hangzhou, Zhejiang, China

    Jack Ma, a former English teacher, founded Alibaba to connect Chinese manufacturers with international buyers. He aimed to support small and medium-sized enterprises (SMEs) in China by leveraging the internet.

    Growth and Expansion

    • Early Strategy: Alibaba started with Alibaba.com, a B2B marketplace that connected Chinese bu...
  16. d

    App + Web Consumer Data | MFour's 1st Party - App + Web Usage Data | 2M...

    • datarade.ai
    .csv
    Updated Nov 14, 2023
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    mfour (2023). App + Web Consumer Data | MFour's 1st Party - App + Web Usage Data | 2M consumers, 3B+ events verified, US consumers | CCPA Compliant [Dataset]. https://datarade.ai/data-categories/app-data/datasets
    Explore at:
    .csvAvailable download formats
    Dataset updated
    Nov 14, 2023
    Dataset authored and provided by
    mfour
    Area covered
    United States of America
    Description

    At MFour, our Behavioral Data stands out for its uniqueness and depth of insights. What makes our data genuinely exceptional is the combination of several key factors:

    • First-Party Opt-In Data: Our data is sourced directly from our opt-in panel of consumers who willingly participate in research and provide observed behaviors. This ensures the highest data quality and eliminates privacy concerns. CCPA compliant.

    • Unparalleled Data Coverage: With access to 3B+ billion events, we have an extensive pool of participants who allow us to observe their brick + mortar location visitation, app + web smartphone usage, or both. This large-scale coverage provides robust and reliable insights.

    • Our data is generally sourced through our Surveys On The Go (SOTG) mobile research app, where consumers are incentivized with cash rewards to participate in surveys and share their observed behaviors. This incentivized approach ensures a willing and engaged panel, leading to the highest-quality data.

    The primary use cases and verticals of our Behavioral Data Product are diverse and varied. Some key applications include:

    • Data Acquisition and Modeling: Our data helps businesses acquire valuable insights into consumer behavior and enables modeling for various research objectives.

    • Shopper Data Analysis: By understanding purchase behavior and patterns, businesses can optimize their strategies, improve targeting, and enhance customer experiences.

    • Media Consumption Insights: Our data provides a deep understanding of viewer behavior and patterns across popular platforms like YouTube, Amazon Prime, Netflix, and Disney+, enabling effective media planning and content optimization.

    • App Performance Optimization: Analyzing app behavior allows businesses to monitor usage patterns, track key performance indicators (KPIs), and optimize app experiences to drive user engagement and retention.

    • Location-Based Targeting: With our detailed location data, businesses can map out consumer visits to physical venues and combine them with web and app behavior to create predictive ad targeting strategies.

    • Audience Creation for Ad Placement: Our data enables the creation of highly targeted audiences for ad campaigns, ensuring better reach and engagement with relevant consumer segments.

    The Behavioral Data Product complements our comprehensive suite of data solutions in the broader context of our data offering. It provides granular and event-level insights into consumer behaviors, which can be combined with other data sets such as survey responses, demographics, or custom profiling questions to offer a holistic understanding of consumer preferences, motivations, and actions.

    MFour's Behavioral Data empowers businesses with unparalleled consumer insights, allowing them to make data-driven decisions, uncover new opportunities, and stay ahead in today's dynamic market landscape.

  17. Amazon revenue 2004-2024

    • statista.com
    Updated Jun 25, 2025
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    Statista (2025). Amazon revenue 2004-2024 [Dataset]. https://www.statista.com/statistics/266282/annual-net-revenue-of-amazoncom/
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    Dataset updated
    Jun 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide, United States
    Description

    From 2004 to 2024, the net revenue of Amazon e-commerce and service sales has increased tremendously. In the fiscal year ending December 31, the multinational e-commerce company's net revenue was almost *** billion U.S. dollars, up from *** billion U.S. dollars in 2023.Amazon.com, a U.S. e-commerce company originally founded in 1994, is the world’s largest online retailer of books, clothing, electronics, music, and many more goods. As of 2024, the company generates the majority of it's net revenues through online retail product sales, followed by third-party retail seller services, cloud computing services, and retail subscription services including Amazon Prime. From seller to digital environment Through Amazon, consumers are able to purchase goods at a rather discounted price from both small and large companies as well as from other users. Both new and used goods are sold on the website. Due to the wide variety of goods available at prices which often undercut local brick-and-mortar retail offerings, Amazon has dominated the retailer market. As of 2024, Amazon’s brand worth amounts to over *** billion U.S. dollars, topping the likes of companies such as Walmart, Ikea, as well as digital competitors Alibaba and eBay. One of Amazon's first forays into the world of hardware was its e-reader Kindle, one of the most popular e-book readers worldwide. More recently, Amazon has also released several series of own-branded products and a voice-controlled virtual assistant, Alexa. Headquartered in North America Due to its location, Amazon offers more services in North America than worldwide. As a result, the majority of the company’s net revenue in 2023 was actually earned in the United States, Canada, and Mexico. In 2023, approximately *** billion U.S. dollars was earned in North America compared to only roughly *** billion U.S. dollars internationally.

  18. Monthly unique visitors on Amazon Prime Video India 2018-2022

    • statista.com
    Updated Jun 26, 2025
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    Statista (2025). Monthly unique visitors on Amazon Prime Video India 2018-2022 [Dataset]. https://www.statista.com/statistics/1028041/india-amazon-prime-video-unique-visitors/
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    Dataset updated
    Jun 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 2018 - Mar 2022
    Area covered
    India
    Description

    In March 2022, Amazon Prime Video had over *** million unique visitors in India, a significant increase from the previous year. The global player had partnerships with Yash Raj Films, Dharma Productions, and T-Series.

  19. Amazon Web Services: year-on-year growth 2014-2025

    • statista.com
    Updated May 13, 2025
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    Statista (2025). Amazon Web Services: year-on-year growth 2014-2025 [Dataset]. https://www.statista.com/statistics/422273/yoy-quarterly-growth-aws-revenues/
    Explore at:
    Dataset updated
    May 13, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    In the first quarter of 2025, revenues of Amazon Web Services (AWS) rose to 17 percent, a decrease from the previous three quarters. AWS is one of Amazon’s strongest revenue segments, generating over 115 billion U.S. dollars in 2024 net sales, up from 105 billion U.S. dollars in 2023. Amazon Web Services Amazon Web Services (AWS) provides on-demand cloud platforms and APIs through a pay-as-you-go-model to customers. AWS launched in 2002 providing general services and tools and produced its first cloud products in 2006. Today, more than 175 different cloud services for a variety of technologies and industries are released already. AWS ranks as one of the most popular public cloud infrastructure and platform services running applications worldwide in 2020, ahead of Microsoft Azure and Google cloud services. Cloud computing Cloud computing is essentially the delivery of online computing services to customers. As enterprises continually migrate their applications and data to the cloud instead of storing it on local machines, it becomes possible to access resources from different locations. Some of the key services of the AWS ecosystem for cloud applications include storage, database, security tools, and management tools. AWS is among the most popular cloud providers Some of the largest globally operating enterprises use AWS for their cloud services, including Netflix, BBC, and Baidu. Accordingly, AWS is one of the leading cloud providers in the global cloud market. Due to its continuously expanding portfolio of services and deepening of expertise, the company continues to be not only an important cloud service provider but also a business partner.

  20. Global retail e-commerce sales 2022-2028

    • statista.com
    Updated Jun 24, 2025
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    Statista (2025). Global retail e-commerce sales 2022-2028 [Dataset]. https://www.statista.com/statistics/379046/worldwide-retail-e-commerce-sales/
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    Dataset updated
    Jun 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 2025
    Area covered
    Worldwide
    Description

    In 2024, global retail e-commerce sales reached an estimated ************ U.S. dollars. Projections indicate a ** percent growth in this figure over the coming years, with expectations to come close to ************** dollars by 2028. World players Among the key players on the world stage, the American marketplace giant Amazon holds the title of the largest e-commerce player globally, with a gross merchandise value of nearly *********** U.S. dollars in 2024. Amazon was also the most valuable retail brand globally, followed by mostly American competitors such as Walmart and the Home Depot. Leading e-tailing regions E-commerce is a dormant channel globally, but nowhere has it been as successful as in Asia. In 2024, the e-commerce revenue in that continent alone was measured at nearly ************ U.S. dollars, outperforming the Americas and Europe. That year, the up-and-coming e-commerce markets also centered around Asia. The Philippines and India stood out as the swiftest-growing e-commerce markets based on online sales, anticipating a growth rate surpassing ** percent.

  21. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Statista Research Department (2024). Amazon Prime users in the U.S. 2024, by age group [Dataset]. https://www.statista.com/topics/4076/amazon-prime/
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Amazon Prime users in the U.S. 2024, by age group

Explore at:
12 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Oct 15, 2024
Dataset provided by
Statistahttp://statista.com/
Authors
Statista Research Department
Description

In the United States, consumers from Generation X are more likely to use Amazon Prime services, a survey from 2024 revealed. Nearly 35 percent of them were Amazon Prime subscribers, while boomers followed, as about 33 percent reported to be Prime members.

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