According to forecasts as of March 2022, the sales share of electrical products on Amazon was expected at **** percent that year. By 2027, electrical products will make up **** percent of Amazon sales. Additionally, fashion and apparel was forecast to make up **** percent of Amazon sales by 2027, *** percentage point higher than in 2022.

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.

According to forecasts, net sales of electrical products on Amazon are forecast at over *** billion U.S. dollars. With a compound annual growth rate of **** percent, this figure is expected to exceed *** billion dollars by 2026. Yet, the category expected to grow the strongest on the e-commerce platform is health and beauty.

In fiscal year 2024, Amazon.com's revenue by segment (products & services) are as follows: Advertising Services: $56.21 B, Amazon Web Services: $107.56 B, Online Stores: $247.03 B, Other Services: $5.43 B, Physical Stores: $21.22 B, Subscription Services: $44.37 B, Third-Party Seller Services: $156.15 B.

In the first quarter of 2025, Amazon.com saw a nine percent increase in global net revenue across online stores when compared to the first quarter of the prior year. In terms of profitability, the online stores segment was followed by retail third-party seller services, with net revenues of 36.5 billion U.S. dollars. Incessant growth Amazon.com, world’s leading online retailing company based in the United States, enjoyed unprecedented growth in net revenues in 2020 and 2021, also because of the coronavirus pandemic lockdown. This growth was again repeated in the annual net sales across different global markets, with the United States being the most prominent one. Not just retail In addition to offering a plethora of goods such as books, clothing, electronics, household items, and many more, Amazon.com also provides subscription services to its customers which gives access to additional perks like free shipping, discounts, and Amazon Prime Video . The latter, the company’s video-on-demand service, has increasing popularity among internet users.

1) Data Introduction • The Amazon Sales Dataset includes e-commerce product and consumer feedback data, including details on more than 1,000 products collected from Amazon's official website, discount prices, ratings, reviews, and categories.

2) Data Utilization (1) Amazon Sales Dataset has characteristics that: • The dataset includes a variety of product and review-related attributes, including product ID, product name, category, real and discounted prices, discount rates, ratings, rating numbers, product descriptions, user reviews, images, and product links. (2) Amazon Sales Dataset can be used to: • Product Rating and Review Analysis: Use rating and review data to analyze consumer satisfaction, popular products, review trends, and develop marketing strategies for each product. • Development of Price Policy and Recommendation System: Based on price information such as actual price, discount price, and discount rate, it can be used for price policy analysis, product recommendation system, consumer purchasing behavior prediction, etc.

A 2024 survey found that two product categories on Amazon ranked as the most profitable for sellers worldwide. This was the beauty and personal care category, along with the home and kitchen category. Clothing, shoes, and jewelry followed, with ** percent of sellers.

1) Data Introduction • The Amazon Products Sales Dataset 2023 is a large e-commerce dataset that summarizes various product information in a tabular format, including product name, price, rating, discount information, images, and links by 142 major categories collected from Amazon's website.

2) Data Utilization (1) Amazon Products Sales Dataset 2023 has characteristics that: • Each row contains 10 key attributes, including product name, main/subcategory, image, Amazon link, rating, number of ratings, discount price, and actual price. • The data encompasses a wide range of products and is structured to enable multi-faceted analysis such as price policy, customer evaluation, and trend by category. (2) Amazon Products Sales Dataset 2023 can be used to: • Product Recommendation and Marketing Strategy: Use rating, price, and category data to develop a customized recommendation system, analyze popular products, and establish a category-specific marketing strategy. • Price and Discount Policy Analysis—Based on discounted prices and actual prices, ratings, reviews, etc., it can be applied to effective pricing policies, promotion strategies, market competitiveness analyses, and more.

Between 2023 and 2024, it is forecast that Amazon's share of total e-commerce sales in the United States will increase across all five featured product categories. Health and personal care will see the greatest growth, rising from **** percent to **** percent. The other categories include electronics, office items, clothing and home furnishings. With a market share projected to hit almost ** percent in 2024, Amazon dominates the electronics online retail space in the United States.

Amazon is one of the most recognisable brands in the world, and the third largest by revenue. It was the fourth tech company to reach a $1 trillion market cap, and a market leader in e-commerce,...

In 2024, Amazon's total consolidated net sales revenue amounted to *** billion U.S. dollars, *** billion U.S. dollars of which were generated through international revenue channels. North America was the biggest operations segment, accumulating nearly *** billion U.S. dollars in net sales during the year. Sales activities Amazon appeals because it sells a wide range of products. Its departments include beauty, clothing, electronics, games and even wine, along with digital products and subscription services. In 2022, Amazon's largest revenue segment was online retail product sales with roughly *** billion U.S. dollars in global net sales. Retail third-party seller services ranked second with nearly *** billion U.S. dollars in sales. A weak spot Faster and more efficient delivery services come with a price. Data from the company's financial reports showed that Amazon's worldwide shipping costs amounted to a staggering **** billion U.S. dollars, up from **** billion U.S. dollars in 2021. Amazon's annual fulfillment expenses have also risen steadily, from **** billion U.S. dollars in 2021 to over ** billion U.S. dollars in 2022.

Amazon Market Outlook

The global Amazon market is poised for significant growth over the forecast period, with the market size expected to increase from $260 billion in 2023 to nearly $700 billion by 2032, growing at a compound annual growth rate (CAGR) of 11.5%. This robust expansion is driven by the increasing penetration of e-commerce, diversified product offerings, and innovative service models that Amazon continues to adopt and expand upon.

One of the primary growth factors for the Amazon market is the rapid shift of consumers towards online shopping. The convenience of shopping from home, coupled with a vast array of products and competitive pricing, has made e-commerce platforms like Amazon highly attractive. The COVID-19 pandemic further accelerated this trend, as lockdowns and social distancing measures pushed more consumers to shop online. This behavioral shift is expected to persist post-pandemic, solidifying Amazon's market position.

Another significant driver is Amazon's extensive investment in logistics and supply chain infrastructure. The company has heavily invested in technologies and facilities that enhance delivery speed and efficiency, such as automated warehouses, drone delivery systems, and an expanding network of fulfillment centers worldwide. These advancements have enabled Amazon to offer expedited delivery options, such as same-day or next-day delivery, which are critical factors in maintaining customer satisfaction and loyalty.

Furthermore, Amazon's diversification into various service offerings has substantially contributed to its growth. Services like Amazon Prime, Amazon Web Services (AWS), and Amazon Fresh have not only increased its revenue streams but also deepened customer engagement and loyalty. Amazon Prime, for instance, provides subscribers with benefits such as free shipping, access to exclusive content on Prime Video, and other perks, fostering a more engaged and loyal customer base. AWS, on the other hand, has established itself as a leader in the cloud computing industry, driving significant revenue and supporting the growth of other Amazon services.

Regionally, North America remains Amazon's largest market, accounting for a substantial share of its revenue. However, notable growth is expected in emerging markets within the Asia Pacific and Latin America regions. These regions are experiencing rapid internet penetration and a burgeoning middle class with increasing disposable incomes, making them ripe for e-commerce expansion. Amazon has been focusing on localizing its strategies to cater to the unique preferences and needs of these markets to capitalize on this potential.

Product Category Analysis

The electronics segment constitutes a significant portion of Amazon's product category, driven by a high demand for gadgets, home appliances, and other electronic items. Amazon's competitive pricing, extensive product range, and user-friendly return policies make it a preferred platform for purchasing electronics. Additionally, the seamless integration of customer reviews and ratings helps consumers make informed decisions, further boosting sales within this category. With continuous technological advancements and a steady stream of new product launches, the electronics segment is expected to maintain its growth trajectory.

Books were Amazon's original product category, and despite expanding into numerous other areas, books remain a core component of its offerings. The introduction of Kindle and e-books revolutionized the way consumers read, providing a boost to this segment. Amazon's extensive library of books, ranging from bestsellers to niche genres, caters to a wide audience. The convenience of purchasing and downloading books instantly, coupled with competitive pricing, continues to attract readers globally. The book segment is expected to see steady growth, supported by an increasing number of readers opting for e-books and audiobooks.

The clothing segment has seen substantial growth, driven by a diverse range of apparel and accessories for all ages and genders. Amazon's fashion segment includes both well-known brands and independent labels, providing a wide array of choices for consumers. The introduction of features like "Try Before You Buy" and personalized recommendations based on browsing history have enhanced the shopping experience, leading to higher conversion rates. As consumers become more comfortable with purchasing clothing online, this segment is expected to grow significantly.

Explore our extensive Amazon Product Dataset, featuring detailed information on prices, ratings, sales volume, and more.

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.

Amazon Brands and Exclusives

Dataset from "Amazon Puts Its Own 'Brands' First Above Better-Rated Products"

About this dataset

This dataset contains information on the quality and sales of products on Amazon, as well as on the percentage of time that Amazon's own products are featured in the Buy Box. It also includes data on the top searches and generic searches on Amazon, as well as on the percentage of panelists who ranked each trait as very important or somewhat important when choosing a product on Amazon

Research Ideas

• Determine which features are most important to customers when they are shopping on Amazon.
• Understand how Amazon's own products compare to other products in terms of quality and sales.
• Study how Amazon's marketing and ranking algorithms work, in order to optimize product listings on the site

Acknowledgements

Acknowledgements The datasets used in this article were provided by The Markup

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: combined_queries_with_source.csv | Column name | Description | |:----------------|:-----------------------------------------| | search_term | The search term used on Amazon. (String) | | source | The source of the search term. (String) |

File: quality_and_sales_comparisons.csv | Column name | Description | |:-------------------------------------|:----------------------------------------------------------------------------------------------| | search_term | The search term used on Amazon. (String) | | position_first_amazon | The position of the first Amazon product in the search results. (Integer) | | position_first_non_amazon | The position of the first non-Amazon product in the search results. (Integer) | | position_first_wholly_non_amazon | The position of the first wholly non-Amazon product in the search results. (Integer) | | amazon_stars | The average star rating for Amazon products in the search results. (Float) | | amazon_reviews | The average number of reviews for Amazon products in the search results. (Integer) | | non_amazon_stars | The average star rating for non-Amazon products in the search results. (Float) | | non_amazon_reviews | The average number of reviews for non-Amazon products in the search results. (Integer) | | wnon_amazon_stars | The average star rating for wholly non-Amazon products in the search results. (Float) | | wnon_amazon_reviews | The average number of reviews for wholly non-Amazon products in the search results. (Integer) |

File: amazon_trademarked_brands.csv | Column name | Description | |:-----------------------|:-------------------------------------------------------------| | Word Mark | The word mark of the product. (String) | | Goods and Services | The goods and services associated with the product. (String) | | Filing Date | The date on which the product was filed. (Date) |

File: fig2-scatter.csv | Column name | Description | |:-------------------|:----------------------------------------------------------------------------------------------------| | **** | | | Category | The category of the product. (String) | | Perc Products | The percentage of products in the category that are sponsored. (Float) | | Perc #1 spot | The percentage of products in the category that are in the #1 spot in the search results. (Float) | | Perc first row | The percentage of products in the category that are in the first row of the search results. (Float) |

File: fig3a-heatmap_amzn.csv | Column name | Description | |:-----...

This dataset contains product prices from Amazon UK, with a focus on price prediction. With a good amount of data on what price points sell the most, you can train machine learning models to predict the optimal price for a product based on its features and product name.

If you find this dataset useful, make sure to show your appreciation by upvoting! ❤️✨

Inspirations

This dataset is a superset of my Amazon UK product price dataset. Another inspiration is this competition that awareded 100K Prize Money

What To Do?

• Your objective is to create a prediction model that will assist sellers in pricing their products within the optimal price range to generate the most sales.
• The dataset includes various data points, such as the number of reviews, rating, best seller status, and items sold last month.
• You can select specific factors (e.g., over 100 reviews = optimal price for the product) and then divide the dataset into products priced optimally vs products priced unoptimally.
• By utilizing techniques like vectorizing product names and features, you can train a model to provide the optimal price for a product, which sellers or businesses might find valuable.

How to know if a product sells?

• I would prefer to use the number of reviews as a metric to determine if a product sells. More reviews = more sales, right?
• According to one source only 1-2% of buyers leave a review
• So if we multiply the reviews for a product by 50x, then we would get a good understanding how many units has sold.
• If we then multiple the product price by number of units sold, we'd get the total revenue generated by the product

How is this useful?

• Sellers and businesses can leverage your model to determine the optimal price for their products, thereby maximizing sales.
• Businesses can assess the profitability of a product and plan their supply chain accordingly.

Consumer electronics and electrical appliances were the top-selling products on the Dutch Amazon marketplace in 2024. Electronics accounted for a new sales share of over ** percent on amazon.nl. Hobby & Leisure followed as a close second, with just over one-third of sales. For more information, please visit ecommerceDB.com.

Amazon's monthly revenue in the United States for beauty and personal care sales is estimated to range from *** to *** billion U.S. dollars in 2024. The sales revenue is estimated to experience two significant peaks, one in July 2024 at *** billion U.S. dollars and the other in December 2024 at *** billion U.S. dollars. In the same year, beauty and personal care products were one of Amazon's most profitable product categories.

The paid membership supermarket sector is experiencing robust growth, driven by increasing consumer demand for value-added services and exclusive discounts. This model offers significant advantages to both consumers and retailers. For consumers, memberships provide access to lower prices on everyday essentials, exclusive deals, and often additional perks like free delivery or early access to sales. For retailers, the membership model fosters customer loyalty, generating predictable recurring revenue streams and enabling data-driven inventory management. The market is segmented by application (online and offline sales) and product type (own-brand and purchased products), with significant variation in growth potential across these segments. Online sales are expected to witness faster growth due to increasing e-commerce penetration and the convenience factor it offers. Furthermore, own-brand products usually carry higher profit margins for supermarkets, encouraging investment in private label development within this model. Key players like Walmart, Costco, and Carrefour are strategically investing in enhancing their membership programs and expanding their reach globally, leading to increased competition and innovation in the market. The geographic distribution of market share is heavily influenced by factors such as consumer purchasing power, existing retail infrastructure, and cultural preferences for subscription services. North America and Europe currently dominate the market, although Asia-Pacific regions show substantial potential for growth given their rapidly expanding middle class and increasing adoption of online shopping. The forecast period (2025-2033) anticipates continued expansion, though the rate of growth may fluctuate depending on macroeconomic conditions, consumer spending patterns, and the success of new entrants into the market. The success of individual players will depend on factors like their ability to offer competitive pricing and benefits, effectively leverage data analytics to personalize customer experiences, and adapt to evolving consumer expectations. Factors such as economic downturns or changing consumer preferences for budget-conscious alternatives could pose challenges to the sector's sustained growth. Ongoing innovation in technology, such as personalized shopping experiences and optimized delivery systems, will be crucial for retailers aiming to retain a competitive edge in this dynamic market landscape.

The Online Hardware and Tools Sales industry in the US has had robust growth over the past five years, managing intense competition and technological innovation. As retailers enter the market, drawn by low barriers and a national customer base, established competitors are forced to innovate to maintain their edge. This has led to a proliferation of strategies aimed at improving the digital customer experience, from advanced pricing tools to seamless purchasing processes. The industry’s revenue has grown at a CAGR of 4.4% over the past five years, reaching $46.9 billion in 2025, but raw material inflation and rising wage costs from employment growth have dragged down industry profit. With technology being leveraged to streamline operations, the industry can stabilize its margin as inflation pressures ease. The industry has enjoyed ample opportunities as consumer interest in DIY projects has surged, fueled by home improvement media and a desire for cost-effective living. Revenue is expected to climb by 2.4% in 2025, reflecting this strong growth. The number of industry establishments has outpaced revenue, heightening competition. Supply chain disruptions and geopolitical tensions add to businesses’ challenges, driving logistics costs up and compelling retailers to adopt aggressive pricing strategies to retain their customer base. Yet, these tactics have eroded profit, particularly for smaller companies. The drive to meet consumer needs with a diverse product range and enhanced online experience has supported growth. Industry revenue is projected to expand at a CAGR of 2.8% over the next five years, hitting $53.7 billion in 2030. Cutting-edge technologies and evolving consumer preferences will shape the industry’s landscape. Innovations in AI and AR are set to revolutionize the shopping experience, offering hyper-personalized recommendations and immersive product visualizations. Retailers will embrace a more omnichannel approach, offering conveniences like buy-online-pickup-in-store to stay competitive. Additionally, the shift toward sustainable practices and eco-friendly products will push retailers to align with consumer preferences. By expanding product portfolios to include smart and green alternatives and focusing on transparent sourcing, retailers can capture broader market interest and secure sustained growth.