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.

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 reported $155.7B in Sales Revenues for its fiscal quarter ending in March of 2025. Data for Amazon | AMZN - Sales Revenues including historical, tables and charts were last updated by Trading Economics this last July in 2025.

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.

Amazon revenue for the twelve months ending March 31, 2025 was $650.313B, a 10.08% increase year-over-year. Amazon annual revenue for 2024 was $637.959B, a 10.99% increase from 2023. Amazon annual revenue for 2023 was $574.785B, a 11.83% increase from 2022. Amazon annual revenue for 2022 was $513.983B, a 9.4% increase from 2021.

Amazon Sales Report

Overview:

This dataset provides detailed sales data from Amazon, offering a comprehensive look at various product categories and their performance over time. It includes information on sales figures, order details, product categories, and customer demographics.

Features:

1. Order ID

Description: A unique identifier for each order placed on Amazon. This field helps to track individual orders and link related records.

2. Dates

Description: The date when the order was placed. This field is crucial for analyzing sales trends over time and identifying seasonal patterns.

3. Status

Description: The current status of the order (e.g., Shipped, Delivered, Pending). This field provides insight into the order fulfillment process and helps monitor order processing efficiency.

4. Fulfillment

Description: Indicates the method used to fulfill the order (e.g., Fulfilled by Amazon, Fulfilled by Seller). This feature helps in analyzing the performance of different fulfillment methods and their impact on customer satisfaction.

5. Sales Channel

Description: The channel through which the sale was made (e.g., Amazon Website, Mobile App). This field is useful for evaluating the effectiveness of different sales channels and understanding customer preferences.

6. Category

Description: The product category to which the purchased item belongs (e.g., Electronics, Clothing, Home Goods). This feature aids in analyzing sales performance across various product categories.

7. Ship Service Level

Description: The shipping service level selected for the order (e.g., Standard Shipping, Two-Day Shipping). This field helps to assess the impact of shipping options on delivery times and customer satisfaction.

8. Size

Description: The size of the product ordered (e.g., Small, Medium, Large). This feature is relevant for analyzing sales performance based on product size and understanding inventory requirements.

9. Carrier Status

Description: The status of the shipment with the carrier (e.g., In Transit, Delivered, Returned). This field provides insights into the shipping process and helps in monitoring delivery performance and handling returns.

Use Cases:

Sales Analysis:

Examine trends in sales over time, identify peak periods, and analyze performance by product category.

Customer Insights:

Explore customer demographics to understand purchasing behavior and preferences.

Inventory Management:

Assess which products are performing well and which are not, aiding in inventory and supply chain management.

Marketing Strategies:

Develop targeted marketing campaigns based on sales trends and customer profiles.

Data Source:

This dataset is a simulated collection of Amazon sales data and is intended for educational and analytical purposes.

Acknowledgments:

This dataset was created to facilitate data analysis and machine learning projects. It is ideal for practicing data manipulation, statistical analysis, and predictive modeling.

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 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.

The online revenue of amazon.ae amounted to US$769.8m in 2024. Discover eCommerce insights, including sales development, shopping cart size, and many more.

Unlock a wealth of business insights with our expansive dataset, meticulously tailored for both Amazon and non-Amazon sellers. Boasting over 1 million contacts, this comprehensive resource is characterized by unparalleled verification precision, ensuring the inclusion of verified emails and direct dials for decision-makers across the spectrum.

Unique Features: - Unrivaled Scale: 1M+ Contacts: A vast reservoir of contacts, offering a rich tapestry of data for comprehensive analysis. - Verification Precision: Rigorous validation processes guarantee accurate and up-to-date information, with a focus on verified emails and direct dials.

Data Sourcing: - Multi-Faceted Approach: We employ an advanced methodology, combining cutting-edge web scraping techniques, access to public records, and strategic partnerships with trusted data providers. This multi-faceted approach ensures a robust and diverse dataset. - Reliability Assurance: Regular updates and continuous monitoring practices are in place to maintain the highest standards of data quality, providing users with a dependable foundation for their strategic initiatives.

Primary Use-Cases: - Market Research: Gain deep insights into market trends, customer behavior, and competitive landscapes. - Lead Generation: Target decision-makers with precision, enhancing conversion rates. - Marketing Campaigns: Craft tailored strategies based on comprehensive data, ensuring maximum impact. - Competitive Analysis: Evaluate market positioning and identify strategic opportunities through detailed competitor insights.

Integration with Broader Offering: - Diverse Data Portfolio: Seamlessly integrates into our comprehensive data catalog, enhancing our commitment to providing a diverse, accurate, and scalable range of datasets. - Complementary Advantages: This dataset synergizes with our broader offering, providing users with a holistic solution for their data needs.

Coverage: - Global Reach: Encompassing multiple industries and countries, our dataset offers a global perspective for businesses seeking to expand their reach and explore new markets. - Strategic Expansion: Equip your business with the tools needed to navigate global markets confidently, with insights tailored to your expansion strategies.

Scale and Quality Indicators: - Superior Data Quality: Rigorous validation processes ensure the highest standards of precision and reliability. - Scalability: Adaptable to diverse business needs, accommodating various use cases and scenarios.

Target Audience: - E-commerce Players: Elevate your market presence and competitiveness in the dynamic e-commerce landscape. - Marketing Agencies: Craft targeted campaigns with confidence, backed by comprehensive and reliable data. - Business Intelligence Professionals: Gain deep market insights to inform strategic planning and decision-making.

Unveiling Opportunities: - Catalyst for Growth: Discover new markets and unearth business prospects. - Competitive Edge: Outpace competition by utilizing insights from our curated dataset.

Amazon reported $76.98B in Cost of Sales for its fiscal quarter ending in March of 2025. Data for Amazon | AMZN - Cost Of Sales including historical, tables and charts were last updated by Trading Economics this last July in 2025.

In 2024, Amazon Prime Day sales reached a massive $14.2 billion in comparison to $12.9 billion in 2023. This was a huge $1.3 billion increase.

In 2024, Amazon Prime Day sales reached **** billion U.S. dollars in the United States. Originally launched in July 2015 as an anniversary celebration of Amazon's founding, the annual event has become one of the biggest online shopping days worldwide. While in 2020 Prime Day was moved to October due to the coronavirus pandemic, in 2021 the celebration was held in the month of June. On both occasions the event lasted ** consecutive hours.

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

The online revenue of amazon.eg amounted to US$257.7m in 2024. Discover eCommerce insights, including sales development, shopping cart size, and many more.

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.

• 500K+ Active Amazon Stores • 200K+ Seller Leads • Platforms USA, Germany, UK, Italy, France, Spain, CA • C-Suite/Marketing/Sales Contacts • FBA/Non-FBA Sellers • 15+ data points available for each prospect • Filter your leads by store size, niche, location, and many more • 100% manually researched and verified.

For over a decade, we have been manually collecting Amazon seller data from various data sources such as Amazon, Linkedin, Google, and others. We are specialized to get valid, and potential data so you may conduct ads and begin selling without hesitation.

We designed our data packages for all types of organizations, thus they are reasonably priced. We are always trying to reduce our prices to better suit all of your requirements.

So, if you’re looking to reach out to your targeted Amazon sellers, now is the greatest time to do so and offer your goods, services, and promotions. You can get your targeted Amazon Sellers List with seller contact information.

Alternatively, if you provide Amazon Seller Names or IDs, we will conduct Custom Research and deliver the customized list to you.

Data Points Available:

Full Name Linkedin URL Direct Email Generic Phone Number Business Name and Address Company Website Seller IDs and URLs Revenue Seller Review Count Niche FBA/Non-FBA Country and More

In 2022, Amazon is expected to record an estimated ***** billion U.S. dollars in e-commerce sales. Of this value, first-party sales would account for 247.2 billion dollars and third-party sales for *** billion. Sales in both business models were forecast to continue growing in the coming years, though the 3P business model will do so at a much faster pace.

The online revenue of amazon.com.be amounted to US$572.8m in 2024. Discover eCommerce insights, including sales development, shopping cart size, and many more.

Altosight | AI-Powered Amazon Data, eBay Data & More | Global Marketplace Insights

✦ Altosight offers robust, AI-powered Amazon Data services that provide deep insights into product listings, reviews, prices, and sales trends.

✦ Amazon Reviews Data, eBay Data, Alibaba Data, and AliExpress Data are also covered, giving businesses the tools they need to make data-driven decisions across the world’s largest marketplaces.

Our Amazon Data encompasses a broad range of publicly available information from Amazon’s marketplace, which can be used to improve customer experience, personalize recommendations, optimize operations, and drive business success.

With unlimited free data points, fast delivery, and no setup costs, Altosight provides unparalleled flexibility and efficiency.

➤ We offer multiple data delivery options including API, CSV, JSON, and FTP, ensuring seamless integration into your business processes at no additional charge.

― Key Use Cases ―

➤ Marketplace Expansion & Product Assortment Optimization

🔹 Identify gaps in your product offerings by comparing competitor inventories with Alibaba Data, Amazon Data, and eBay Data.

🔹 Expand your product catalog by analyzing trends in best-sellers, emerging products, and market demand.

🔹 Use Digital Shelf Data to track product placements, best-seller rankings, and availability across major marketplaces to optimize your digital shelf space.

➤ Customer Sentiment & Product Review Analysis

🔹 Leverage Amazon Reviews Data to understand customer feedback, identify common complaints, and highlight product strengths.

🔹 Analyze AliExpress Data to track seller ratings and customer reviews, providing insights into consumer sentiment across different marketplaces.

🔹 Use these insights to refine product offerings, improve customer satisfaction, and enhance your brand’s reputation.

➤ Competitive Price Monitoring & Dynamic Repricing

🔹 Track product prices across Amazon, eBay, Alibaba, and AliExpress to ensure you remain competitive in the marketplace.

🔹 Use Amazon Data and eBay Data for real-time insights into competitor pricing and discounts.

🔹 Implement dynamic repricing strategies to react to price changes in real-time, ensuring your products always stay competitively priced.

➤ Product Sourcing & Wholesaler Opportunities

🔹 Use Alibaba Data and AliExpress Data to uncover new product opportunities and identify potential wholesalers.

🔹 Discover trending products to source for your business and form partnerships with reliable suppliers, streamlining your supply chain and business growth.

➤ Market Trend Identification & Forecasting

🔹 Use Alibaba Data and AliExpress Data to identify emerging trends in consumer behavior, product categories, and price fluctuations.

🔹 Conduct comprehensive market research to forecast product demand and industry trends based on historical data from Amazon and other marketplaces.

🔹 Stay ahead of market changes by leveraging real-time data for strategic decision-making, product launches, and marketing initiatives.

➤ Retailer & Brand Performance Tracking

🔹 Track the performance of specific retailers or brands across Amazon, eBay, Alibaba, and AliExpress using detailed sales and review data.

🔹 Monitor how frequently products move up or down in rankings, providing valuable insights for brand positioning and marketing effectiveness.

🔹 Analyze which retailers sell particular brands and products, helping businesses identify new partnerships or distribution opportunities.

― Data Collection & Quality ―

✔ Publicly Sourced Data: Altosight collects Amazon Data, Amazon Reviews Data, eBay Data, Alibaba Data, and AliExpress Data from publicly available sources. This includes product information, transaction data, reviews, and other valuable data points that are essential for making informed business decisions.

✔ AI-Powered Scraping: Our AI-driven technology handles CAPTCHAs, dynamic content, and JavaScript-heavy websites to ensure continuous and accurate data collection. We extract and structure Amazon Reviews Data, Digital Shelf Data, and other relevant marketplace data for easy integration into your existing systems.

✔ High-Quality Data: Altosight ensures all data is cleaned, structured, and ready for use, with high accuracy and reliability. Our solutions are ideal for market research, competitor analysis, and operational optimization.

― Why Choose Altosight? ―

✔ Unlimited Data Points: Altosight offers unlimited free data points, allowing you to extract as many product attributes or sales data as needed without additional charges. This ensures cost-effectiveness while maintaining access to all the insights you require.

✔ Proprietary Anti-Blocking Technology: Our proprietary scraping technology ensures continuous access to Amazon Data, eBay Data, Alibaba Data, and AliExpress Data by bypassing CAPTCHAs, Cloudflare, and other blocking mechanisms.

✔ Custom & R...