Introduction

Amazon Music Statistics: Amazon Music is a popular music streaming platform, offering a variety of services, including Amazon Music Unlimited, Amazon Prime Music, and Amazon Music HD. As of 2023, Amazon Music boasts over 80 million songs in its catalog, providing a wide range of music options across genres. The service is available in more than 50 countries and is integrated with Amazon's smart devices, like Echo and Fire TV. Amazon Music Unlimited, the premium version of the service, offers access to an even larger selection of over 90 million songs. The platform also supports high-definition audio for subscribers of Amazon Music HD, with tracks available in lossless, CD-quality audio.

Amazon Music has seen steady growth, with recent reports suggesting that it has gained a significant share of the global streaming market, though it still trails behind competitors like Spotify and Apple Music. Additionally, Amazon Music offers personalized playlists and radio stations, enhancing the user experience through tailored recommendations. This article will discuss the important Amazon Music statistics and key trends.

The number of Amazon Music listeners in the United States amounted to 30.4 million in 2018, and is forecast to increase to 48.3 million by 2021. Amazon Music is subscription-only and is completely ad-free, offering different options to competitor Spotify.

According to estimates, Amazon Music had 55 million subscribers worldwide in January 2020. This figure includes individuals subscribed to any of its services, as well as the free, ad-supported option for non-Prime customers.

This statistic illustrates the weekly reach of Amazon Prime Music, in the United States as of July 2018, broken down by age group. During the survey, it was found that Amazon Prime Music reached 12 percent of respondents aged 16 to 19, and seven percent of respondents aged between 25 and 34 years old.

This statistic shows the volume of Amazon Music downloads to android devices in Germany, based on the number of downloads from the Google Play store for each month. In February 2020, there were approximately 148.6 thousand Amazon Music downloads to android devices in Germany.

Amazon Prime’s growth is what has been most impressive. They have managed to convert millions of customers into loyal subscribers at a very fast rate.

Amazon Prime’s global subscriber growth rate has accelerated over the last 5 years. Today Amazon currently has 200 million Amazon Prime members around the world.

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MuMu is a Multimodal Music dataset with multi-label genre annotations that combines information from the Amazon Reviews dataset and the Million Song Dataset (MSD). The former contains millions of album customer reviews and album metadata gathered from Amazon.com. The latter is a collection of metadata and precomputed audio features for a million songs.

To map the information from both datasets we use MusicBrainz. This process yields the final set of 147,295 songs, which belong to 31,471 albums. For the mapped set of albums, there are 447,583 customer reviews from the Amazon Dataset. The dataset have been used for multi-label music genre classification experiments in the related publication. In addition to genre annotations, this dataset provides further information about each album, such as genre annotations, average rating, selling rank, similar products, and cover image url. For every text review it also provides helpfulness score of the reviews, average rating, and summary of the review.

The mapping between the three datasets (Amazon, MusicBrainz and MSD), genre annotations, metadata, data splits, text reviews and links to images are available here. Images and audio files can not be released due to copyright issues.

MuMu dataset (mapping, metadata, annotations and text reviews)

Data splits and multimodal feature embeddings for ISMIR multi-label classification experiments

These data can be used together with the Tartarus deep learning library https://github.com/sergiooramas/tartarus.

NOTE: This version provides simplified files with metadata and splits.

Scientific References

Please cite the following papers if using MuMu dataset or Tartarus library.

Oramas, S., Barbieri, F., Nieto, O., and Serra, X (2018). Multimodal Deep Learning for Music Genre Classification, Transactions of the International Society for Music Information Retrieval, V(1).

Oramas S., Nieto O., Barbieri F., & Serra X. (2017). Multi-label Music Genre Classification from audio, text and images using Deep Features. In Proceedings of the 18th International Society for Music Information Retrieval Conference (ISMIR 2017). https://arxiv.org/abs/1707.04916

I roundup the latest Amazon Prime statistics which show just how big Amazon Prime has become and will continue to be.

The Music On Demand market is experiencing robust growth, projected to reach $49.76 billion by 2025 and exhibiting a Compound Annual Growth Rate (CAGR) of 17.45% from 2019 to 2033. This expansion is fueled by several key factors. The increasing penetration of smartphones and affordable data plans has significantly broadened access to streaming services, making music readily available to a larger audience globally. Furthermore, the rising popularity of personalized playlists and curated content cater to diverse musical tastes, driving user engagement and subscription rates. The integration of music streaming into other platforms, such as social media and fitness apps, also contributes to market growth by providing convenient and seamless access. Competition among streaming giants like Spotify, Apple Music, and Amazon Music is fierce, pushing innovation in features, sound quality, and pricing strategies, ultimately benefiting consumers. However, challenges remain, including concerns about artist royalty payments and the increasing costs associated with licensing and content acquisition. The market is segmented by type (music streaming and radio on demand) and end-user (individual and commercial), with a geographical spread encompassing North America (particularly the US), Europe (Germany and the UK), APAC (China and Japan), South America, and the Middle East and Africa. The market's future trajectory indicates continued expansion driven by technological advancements, evolving consumer preferences, and the ongoing development of immersive audio experiences. The market's segmentation reveals that music streaming dominates, reflecting a clear shift in consumer preference towards on-demand listening. The commercial sector is also witnessing significant growth, with businesses leveraging music streaming for background music in retail spaces, gyms, and other venues. Regional variations exist, with North America and Europe currently holding substantial market shares, but Asia-Pacific is anticipated to witness rapid growth due to rising disposable incomes and increased internet penetration. The competitive landscape is highly dynamic, with both established tech giants and specialized music streaming companies vying for market dominance. This necessitates strategic partnerships, continuous innovation, and a focus on delivering a superior user experience to maintain a competitive edge in this ever-evolving market.

The music streaming market refers to the digital distribution of music content, enabling users to access and listen to songs, albums, and playlists on demand via the internet, without the need for physical media. This market has evolved with the proliferation of mobile devices, high-speed internet, and cloud-based services, making it easier for consumers to enjoy music anytime, anywhere. Music streaming platforms such as Spotify, Apple Music, YouTube Music, and Amazon Music dominate the industry, providing users with subscription-based services, freemium models, and ad-supported options. The rise of artificial intelligence and data analytics also plays a significant role in music streaming, offering personalized recommendations and curated playlists based on user preferences and listening habits. Music streaming is revolutionizing the music industry by reducing piracy, offering a wider variety of music, and providing revenue-sharing opportunities for artists, which have become essential for the growth of the global market. Several factors drive the growth of the music streaming market, including increased smartphone penetration, faster internet connections, and the growing popularity of on-demand media consumption. Recent developments include: November 2022: Mercedes Benz automobiles now include Apple Music's highly acclaimed audio with support for Dolby Atmos as a natural experience, according to a joint announcement from Apple Music and Mercedes Benz. This fulfills a shared commitment to provide customers throughout the world with the best music experience., October2021: Amazon has announced that users of the unlimited tier of the service can now stream music blended in dynamic audio from more devices than ever before, including iOS (iPhone Operating System) and Android systems with their existing headphones and select devices that support Alexa.. Key drivers for this market are: Growing popularity of on-demand media consumption. Potential restraints include: licensing agreements with record labels and content providers can limit the availability . Notable trends are: Rising adoption in digital comic is driving the market growth.

This statistic shows the volume of Amazon Music downloads to android devices in Ireland, based on the number of downloads from Google Play for each month. In October 2019, there were 2,135 Amazon Music downloads to android devices in Ireland.

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.

This file has reviewer ID , User ID, Reviewer Name, Reviewer text, helpful, Summary(obtained from Reviewer text),Overall Rating on a scale 5, Review time Description of columns in the file:

reviewerID - ID of the reviewer, e.g. A2SUAM1J3GNN3B asin - ID of the product, e.g. 0000013714 reviewerName - name of the reviewer helpful - helpfulness rating of the review, e.g. 2/3 reviewText - text of the review overall - rating of the product summary - summary of the review unixReviewTime - time of the review (unix time) reviewTime - time of the review (raw) Task You have to perform Sentimental Analysis for this data. Help the organization to understand better about their customer feedback's So that they can concentrate on those issues customer's are facing. Build the model which has highest accuracy in classifying the feedback as positive,Negative and neutral. Task :1 You have to categorize opinions expressed in feedback forums Task :2 You have to classify individual comments/reviews and you have to determine overall rating based on individual comments/reviews.

Inspiration This is the Problem Statement given by ISRO to classify the customer comments. This would be helpful for the organization to understand Customer feedbacks.

Original Data Source: Amazon Musical Instruments Reviews

According to the latest Amazon Prime statistics, about 81% of US internet users aged 18 to 34 have a paid Amazon Prime membership.

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.

Amazon made $40.2 billion from memberships and subscriptions in 2023.

This statistic shows the number of daily active users (DAU) of the Amazon Music app on android devices in Germany. In December 2019, there were over 229 thousand Amazon Music daily active users on android devices in Germany.

Overall the US accounts for about 74% of all paying Amazon Prime accounts globally.