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.

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.

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.

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,...

This dataset includes 861 rows of books on the Amazon store in 2001.

The book's ISBN, Title, Weekly Sales, and Weekly Average Rank are provided.

Potential analysis can be implemented on the relationship between book rank and book sales. Even though the dataset is a bit "old", it still provides a certain vision to understand how Amazon has ranked each book.

With a good predictive model, we can even predict a book's potential sale on Amazon just given its rank.

Utilize our Amazon reviews dataset for diverse applications to enrich business strategies and market insights. Analyzing this dataset can aid in understanding customer behavior, product performance, and market trends, empowering organizations to refine their product and marketing strategies. Access the entire dataset or tailor a subset to fit your requirements. Popular use cases include: Product Performance Analysis: Analyze Amazon reviews to assess product performance, uncovering customer satisfaction levels, common issues, and highly praised features to inform product improvements and marketing messages. Customer Behavior Insights: Gain insights into customer behavior, purchasing patterns, and preferences, enabling more personalized marketing and product recommendations. Demand Forecasting: Leverage Amazon reviews to predict future product demand by analyzing historical review data and identifying trends, helping to optimize inventory management and sales strategies. Accessing and analyzing the Amazon reviews dataset supports market strategy optimization by leveraging insights to analyze key market trends and customer preferences, enhancing overall business decision-making.

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.

APISCRAPY's Amazon Data extraction is a sophisticated solution that leverages AI & web scraping skills to supply organizations with critical data from the Amazon platform. By scraping Amazon you get a product-related Amazon database, including product names, descriptions, pricing, ratings & reviews

This dataset provides comprehensive real-time data from Amazon's global marketplaces. It includes detailed product information, reviews, seller profiles, best sellers, deals, influencers, and more across all Amazon domains worldwide. The data covers product attributes like pricing, availability, specifications, reviews and ratings, as well as seller information including profiles, contact details, and performance metrics. Users can leverage this dataset for price monitoring, competitive analysis, market research, and building e-commerce applications. The API enables real-time access to Amazon's vast product catalog and marketplace data, helping businesses make data-driven decisions about pricing, inventory, and market positioning. Whether you're conducting market analysis, tracking competitors, or building e-commerce tools, this dataset provides current and reliable Amazon marketplace data. The dataset is delivered in a JSON format via REST API.

OpenWeb Ninja's Amazon Data API provides fast and reliable access to real-time Amazon data across all 22 Amazon domains. With over 600 million product listings and more than 40 data points per product, the API makes it simple to search products, query by category, and extract structured ecommerce product data at scale.

Key capabilities: - Product Search & Categories: search Amazon by keyword or retrieve products directly from categories. - Product Data: titles, descriptions, images, pricing, availability, attributes. - Amazon Reviews Data: full review content, ratings, timestamps, helpful counts. - Offers & Sellers Data: all current offers, with sellers data, and more. - Amazon Sellers Data: Amazon sellers profile, sold products, and seller reviews. - Best Sellers & Deals: Amazon Best Sellers by category, Today’s Deals, and promotions. - ASIN to GTIN: convert ASIN to GTIN/EAN/ISBN for external integrations.

Coverage & Scale: - 600M+ products across all major categories and industries. - 22 Amazon countries/domains supported. - 40+ structured data points per product. - Real-time updates, delivered via a fast and reliable REST API.

Use cases: - Pricing and product comparison tools. - Ecommerce and market research. - Seller and competitor monitoring. - Product discovery and trend analysis. - Sentiment analysis with customer product reviews data.

With OpenWeb Ninja's Amazon Data API, you get the most complete Amazon data - from product details and reviews to best sellers and deals - always delivered in real time through a fast and reliable REST API.

With 438 billion U.S. dollars in net sales, the United States were Amazon’s biggest market in 2024. Germany was ranked second with 41 billion U.S. dollars, ahead of the UK with 37.9 billion U.S. dollars. Biggest internet company Founded in 1994, Amazon has grown into one of the biggest e-commerce marketplaces and cloud computing platforms worldwide. In 2020, Amazon was ranked first in terms of company revenue among global publicly traded internet companies. With an annual revenue of approximately 386 billion U.S. dollars, the e-retailer ranked far ahead of closest competitors Google (181.7 billion U.S. dollars) and Alibaba (109.5 billion U.S. dollars). Amazon shopping Amazon is the leading e-retailer in the United States. In September 2021, 65 percent of Amazon customers in the United States held a membership with the company’s subscription service Amazon Prime, benefitting from free 2-day shipping, music and video streaming and exclusive offers and deals. Amazon Prime members are very engaged shoppers: a June 2021 survey found that over four in ten of them were likely to shop not just during Prime days, but also during other retail events, with 56 percent of them showing interest for Cyber Monday.

Online booksellers sell books online, including e-books and audiobooks. The industry is dominated by Amazon.com Inc. (Amazon), which popularized the sale of books online and was essential to the uptake of e-books. Amazon has grown to account for more than four-fifths of all revenue from books sold online; so many industry trends directly result from Amazon. The industry has continued to grow rapidly as e-commerce has grown in popularity. Growing e-book popularity is also tied to the proliferation of e-readers such as Amazon's Kindle and tablets like Apple's iPad. Revenue for online booksellers is expected to expand at a CAGR of 4.6% to $10.0 billion through the end of 2024. The industry has likewise benefited from a strong economy. While the COVID-19 pandemic proved to be a unique disruptive force, its effect on the industry was ultimately positive. Online commerce boomed as brick-and-mortar locations were shuttered and required to operate with restrictions throughout the pandemic. Despite Amazon's dominance, new upstarts have attempted to challenge its business model given the low barriers to entry. Shortly before the pandemic, Bookshop, an online book marketplace, launched to challenge Amazon's monopoly in the market by working with local booksellers. Still, entrants endure stiff challenges as they attempt to enter an industry with several well-established sellers. Without regulatory changes, Amazon will continue to reap most benefits from expanding online book sales through the end of 2029. The industry is expected to strengthen because of rising e-commerce sales, rising e-book and audiobook consumption and a strong economy. Profit will remain limited as Amazon is known to sell products, especially books, at retail prices below retail prices to expand its control of the overall market. Revenue for online booksellers is expected to swell at a CAGR of 2.9% to $11.5 billion through the end of 2029.

Comprehensive dataset analyzing Amazon product review counts across categories, including 40 reviews average, category-specific benchmarks, and reviews-to-sales ratios based on analysis of 31,900 brands and 12 million product reviews.

Note:- Only publicly available data can be worked upon

In today's ever-evolving Ecommerce landscape, success hinges on the ability to harness the power of data. APISCRAPY is your strategic ally, dedicated to providing a comprehensive solution for extracting critical Ecommerce data, including Ecommerce market data, Ecommerce product data, and Ecommerce datasets. With the Ecommerce arena being more competitive than ever, having a data-driven approach is no longer a luxury but a necessity.

APISCRAPY's forte lies in its ability to unearth valuable Ecommerce market data. We recognize that understanding the market dynamics, trends, and fluctuations is essential for making informed decisions.

APISCRAPY's AI-driven ecommerce data scraping service presents several advantages for individuals and businesses seeking comprehensive insights into the ecommerce market. Here are key benefits associated with their advanced data extraction technology:

1. Ecommerce Product Data: APISCRAPY's AI-driven approach ensures the extraction of detailed Ecommerce Product Data, including product specifications, images, and pricing information. This comprehensive data is valuable for market analysis and strategic decision-making.

2. Data Customization: APISCRAPY enables users to customize the data extraction process, ensuring that the extracted ecommerce data aligns precisely with their informational needs. This customization option adds versatility to the service.

3. Efficient Data Extraction: APISCRAPY's technology streamlines the data extraction process, saving users time and effort. The efficiency of the extraction workflow ensures that users can obtain relevant ecommerce data swiftly and consistently.

4. Realtime Insights: Businesses can gain real-time insights into the dynamic Ecommerce Market by accessing rapidly extracted data. This real-time information is crucial for staying ahead of market trends and making timely adjustments to business strategies.

5. Scalability: The technology behind APISCRAPY allows scalable extraction of ecommerce data from various sources, accommodating evolving data needs and handling increased volumes effortlessly.

Beyond the broader market, a deeper dive into specific products can provide invaluable insights. APISCRAPY excels in collecting Ecommerce product data, enabling businesses to analyze product performance, pricing strategies, and customer reviews.

To navigate the complexities of the Ecommerce world, you need access to robust datasets. APISCRAPY's commitment to providing comprehensive Ecommerce datasets ensures businesses have the raw materials required for effective decision-making.

Our primary focus is on Amazon data, offering businesses a wealth of information to optimize their Amazon presence. By doing so, we empower our clients to refine their strategies, enhance their products, and make data-backed decisions.

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The online revenue of amazon.com amounted to US$147,588.8m in 2024. Discover eCommerce insights, including sales development, shopping cart size, and many more.

The online marketplace optimization tool market is experiencing robust growth, driven by the increasing number of businesses leveraging e-commerce platforms like Amazon, eBay, and Etsy to reach a wider audience. The market's expansion is fueled by the need for enhanced product visibility, improved sales conversion rates, and streamlined operational efficiency. Key trends include the rising adoption of AI-powered tools for price optimization, keyword research, and listing management. Businesses are increasingly recognizing the value of data-driven decision-making, leading to higher demand for tools offering advanced analytics and reporting capabilities. While the market faces challenges such as the complexity of integrating with various marketplaces and the need for ongoing software updates, the overall outlook remains positive. The competitive landscape is characterized by a mix of established players and emerging startups, each offering unique functionalities and pricing models. This competitive environment fosters innovation and ensures a diverse range of solutions tailored to the specific needs of different businesses. We estimate the market size in 2025 to be $1.5 billion, growing at a compound annual growth rate (CAGR) of 15% through 2033. This growth is driven by the increasing sophistication of e-commerce strategies and the growing reliance on technology for competitive advantage. The success of online businesses hinges on effective marketplace optimization. Tools that automate listing creation, manage inventory, analyze sales data, and optimize pricing are becoming indispensable. This is further amplified by the growing demand for advanced features such as A/B testing capabilities, competitor analysis tools, and integration with social media marketing platforms. The market segmentation reflects this demand, with tools catering to specific niches like Amazon FBA sellers, Etsy shop owners, and multi-channel sellers. The emergence of subscription-based models is further shaping the market, offering businesses flexible access to advanced features and ongoing support. Furthermore, ongoing technological advancements, particularly in artificial intelligence and machine learning, will continue to drive innovation within the industry, creating new opportunities for growth and differentiation. We project continued market expansion fueled by the increasing adoption of e-commerce globally.

The performance of the Online Video Downloads (Transactional Video On Demand) industry has been under pressure as Subscription Video On Demand (SVOD) services continue to dominate the landscape. SVOD platforms, like Netflix and Disney+, have a clear advantage, having invested heavily in original and exclusive content, fostering user loyalty and driving constant engagement. As SVOD continues gaining traction because of cost-effectiveness and content variety, the TVOD model struggles to sustain user engagement because of its transactional nature. To counteract falling revenues, TVOD providers, such as Amazon Prime Video, rely on hybrid models, offering subscription and transactional video services to maintain market relevance. Through the end of 2025, industry revenue has dropped at a CAGR of 9.0% to reach $4.0 billion, including an anticipated 1.4% drop in 2025 alone. The industry faces heightened competition in a rapidly saturated market, forcing providers to cater to specific audiences or develop hybrid models. As consumers increasingly reach their subscription limit, brought on by increasing fees and subscription fatigue, some households resort to canceling subscriptions or opting for free ad-supported services, straining premium TVOD providers. However, TVOD providers are fighting back, introducing co-exclusive licensing deals, allowing them to offer high-profile content simultaneously with larger platforms, offering broader audience reach and content distinctiveness. Profit has fallen over the past five years, reaching 13.9% of industry revenue in 2025. Climbing competition and market saturation have caused online video download providers to strengthen marketing expenditures to garner demand. Through the five years to 2030, TVOD providers will face significantly more challenges because of likely industry consolidation triggered by a plateau in stand-alone subscriptions. As consumer fatigue over managing multiple subscriptions increases, bundled offers with platforms like SVOD will become more prominent. TVOD providers will need to piggyback on the marketing power of larger platforms to reach a broader audience. As the smartphone viewing experience gets enhanced by the 5G rollout, TVOD providers will need to optimize their services for mobile users to stay competitive. However, reducing theatrical exclusivity windows could further weaken traditional TVOD services, as movies will be accessible to consumers sooner on SVOD platforms, thereby diminishing the perceived value of individual titles on TVOD. Industry revenue will drop at a CAGR of 1.4% to reach $3.7 billion in 2030.

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.

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 | |:-----...

The Online Computer and Tablet Sales industry has grown substantially as demand for tablet computers and laptop-tablet hybrid computers has boomed. As more services move online and consumers grow increasingly comfortable with online purchases, e-commerce spending has climbed. The pandemic further accelerated this growth, with e-commerce sales experiencing a dramatic surge. Consequently, companies have had to swiftly upgrade their platforms to keep pace with rising consumer expectations and demand. Altogether, industry revenue has increased at an expected CAGR of 3.7% to $50.8 billion over the past five years, including expected growth of 3.6% in 2025 alone.Online retailers face intense competition as more businesses transition to digital platforms. To stay competitive, sellers focus heavily on price competition. This fierce marketplace rivalry has placed downward pressure on product prices, particularly as computer and laptop markets show signs of saturation. In parallel, tablets have evolved significantly, incorporating features that increasingly blur the lines between them and traditional computers. Sellers have lowered prices to differentiate themselves from competitors, with traditional retailers using their online presence to complement products stocked in-store, while Amazon has leveraged its scale to drive down product costs. This strategy has helped Amazon capture a significant market share, but it has also contributed to slimming profit margins throughout the online retail sector. Revenue is expected to expand at a CAGR of 3.7% over the next five years, reaching $61.1 billion in 2030. E-commerce revenue is expected to surge alongside a growing economy, while traditional brick-and-mortar sales continue to falter. Enhanced smartphone capabilities are set to drive an increase in e-commerce purchases made on mobile devices, prompting online retailers to ramp up investments in mobile optimization. As the market expands, competition will intensify, sparking price wars and contests over superior delivery options. Amazon will remain in the lead, poised to expand its market share by optimizing supply chain efficiencies.