Amazon Products dataset to explore detailed product listings, pricing, reviews, and sales data. Popular use cases include competitive analysis, market trend forecasting, and e-commerce strategy optimization.

Use our Amazon Products dataset to explore detailed information on products across various categories, including pricing, reviews, ratings, and sales data. This dataset is ideal for e-commerce professionals, market analysts, and product managers looking to analyze market trends, optimize product listings, and refine competitive strategies.

Leverage this dataset to track pricing trends, assess customer feedback, and uncover popular product categories. Whether you're conducting competitive analysis, performing market research, or optimizing product strategies, the Amazon Products dataset provides key insights to stay ahead in the e-commerce landscape.

Dataset Features

• Title: The name or title of the product.
• seller_name: The name of the seller offering the product.
• Brand: The brand associated with the product.
• Description: A detailed description of the product, including key features.
• initial_price: The original price of the product before any discounts.
• final_price: The current price of the product after discounts.
• Currency: The currency in which the product is priced (e.g., GBP, USD).
• Availability: The stock status (e.g., in stock, out of stock).
• reviews_count: The total number of customer reviews.
• Categories: The specific category the product belongs to.
• asin: Amazon Standard Identification Number.
• buybox_seller: The seller currently winning the Amazon Buy Box.
• number_of_sellers: The number of sellers offering this product.
• root_bs_rank: The overall ranking of the product in the Amazon best-sellers list.
• answered_questions: The number of questions answered in the product Q&A section.
• domain: The website domain where the product is being sold.
• images_count: The number of images available for the product.
• URL: The link to the product page on Amazon.
• video_count: The number of videos available for the product.
• image_url: The URL of the primary image associated with the product.
• item_weight: The weight of the product.
• Rating: The average rating of the product based on customer reviews.
• product_dimensions: The dimensions of the product (e.g., length, width, height) and weight.
• seller_id: The unique identifier for the seller.
• date_first_available: The date when the product was first made available on Amazon.
• discount: Any discount applied to the product.
• model_number: The model number of the product.
• manufacturer: The company that manufactures the product.
• department: The department under which the product is categorized (e.g., Health & Household).
• plus_content: A flag indicating if the product has Amazon’s “Plus Content” (additional marketing content).
• upc: The Universal Product Code (UPC) associated with the product.
• video: URL(s) of any video content associated with the product.
• top_review: A summary or excerpt from the top customer review.
• variations: Different product variations (e.g., different sizes or flavors).
• delivery: Information on the delivery options (e.g., free delivery or Prime delivery).
• features: Key features or highlights of the product.
• format: The format of the product (e.g., powder, liquid).
• buybox_prices: Pricing details for the product, including the base and tiered prices.
• parent_asin: The ASIN of the parent product (if the product is part of a larger group of similar products).
• input_asin: The ASIN of the product as input for Amazon searches.
• ingredients: List of ingredients in the product (if applicable).
• origin_url: The source URL for product-related information or ingredients.
• bought_past_month: A flag indicating if the product was bought in the past month.
• is_available: Availability status of the product (True/False).
• root_bs_category: The broad product category (e.g., Health & Household).
• bs_category: The specific subcategory the product belongs to.
• bs_rank: The rank of the product in its specific subcategory.
• badge: Any badge or label the product has earned (e.g., Amazon's Choice).
• subcategory_rank: The rank of the product within its subcategory.
• amazon_choice: A flag indicating if the product has been selected as Amazon’s Choice.
• images: A list of URLs for additional product images.
• product_details: Detailed product specifications and features.
• prices_breakdown: A breakdown of the price, including any discounts or promotions.
• country_of_origin: The country where the product is made.
• from_the_brand: Information from the brand or manufact

Get instant access to Amazon customer reviews. Fully customizable datasets based on your requirements.

Gather product reviews, including fields like product name, product URL, reviewer name, review rating, review text and description, and data points and fields that look interesting for market insights analysis.

Pricing (no order minimums): • <5000 reviews: $0.05 per row • 5001-50000 leads: $0.04 per row • 50000+ rows: $0.03 per row

Fields: • country • countryCode • date • isVerified • position • productAsin • ratingScore • reviewCategoryUrl • reviewDescription • reviewImages/0 • reviewImages/1 • reviewImages/2 • reviewImages/3 • reviewImages/4 • reviewImages/5 • reviewImages/6 • reviewReaction • reviewTitle • reviewUrl • reviewedIn • totalCategoryRatings • totalCategoryReviews • variant

The size and share of this market is categorized based on Type (Online Service, Oddline Service) and Application (Large Enterprises, SMEs) and geographical regions (North America, Europe, Asia-Pacific, South America, Middle-East and Africa).

Amazon Marketing Services (AMS) is a suite of advertising solutions designed to help businesses promote their products and services on Amazon.com. The market for AMS is expected to grow at a CAGR of 14.4% over the next ten years, reaching a value of $559.1 million by 2033. This growth is being driven by the increasing number of businesses selling on Amazon.com, as well as the growing popularity of online shopping. Some of the key trends driving the growth of the AMS market include the increasing use of mobile devices for online shopping, the growing popularity of voice commerce, and the increasing use of data analytics to target advertising campaigns. Some of the key restraints on the growth of the AMS market include the increasing competition from other advertising platforms, the rising cost of advertising on Amazon.com, and the increasing regulatory scrutiny of online advertising. The market is segmented by application (large enterprises and SMEs), type (cloud-based and web-based), and region (North America, South America, Europe, Middle East & Africa, and Asia Pacific). Some of the key companies in the AMS market include Amplio Digital, content26, Five Star Commerce, 180 Commerce, ClearCut Analytics, Channel Key, Compass Marketing, Direct Online Marketing, EliCommerce, Exclusive Concepts, FountainheadME, HawkSEM, MACARTA, Pacvue, Quiverr, Retail Bloom, Stack Influence, Stay Hungry Digital, Stella Rising, and Zanoma.

The global Amazon Marketing Services market size was valued at USD 879.4 million in 2023 and is projected to grow at a CAGR of XX% from 2025 to 2033. The growth of the market is primarily attributed to the increasing adoption of e-commerce and the growing popularity of Amazon as an online marketplace. Additionally, the rising demand for omnichannel marketing solutions is further driving the growth of the market. Key market drivers include increasing adoption of e-commerce, rising demand for omnichannel marketing solutions, growing popularity of Amazon as an online marketplace, increasing disposable income in emerging economies, and rising number of internet users. Major market trends include increasing investment in R&D by key players, growing adoption of AI and machine learning in marketing, and increasing focus on personalization. Key market restraints include high cost of marketing services, stringent regulatory requirements, and increasing competition from alternative marketing platforms. The market is segmented by type (cloud-based, web-based) and application (large enterprises, SMEs). Major companies in the market include Amplio Digital, content26, Five Star Commerce, 180 Commerce, ClearCut Analytics, Channel Key, Compass Marketing, Direct Online Marketing, EliCommerce, Exclusive Concepts, FountainheadME, HawkSEM, MACARTA, Pacvue, Quiverr, Retail Bloom, Stack Influence, Stay Hungry Digital, Stella Rising, Zanoma, and many others. North America is the largest market for Amazon Marketing Services, followed by Europe and Asia Pacific.

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.

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.

The Amazon Food Products Dataset is a large-scale collection of product listings, reviews, and metadata sourced from Amazon. This dataset is valuable for understanding consumer behaviour, analyzing product trends, and training machine learning models for recommendation systems and sentiment analysis. It includes various categories, providing insights into customer preferences, product ratings, and review sentiments.

Dataset Features

Each record in the dataset contains the following key fields:

• ProductId: Unique identifier for each product.
• UserId: Unique identifier for the reviewer.
• ProfileName: Display the name of the reviewer.
• HelpfulnessNumerator: Number of users who found the review helpful.
• HelpfulnessDenominator: Total number of users who rated the review’s helpfulness.
• Score: Product rating (1 to 5 stars).
• Time: Unix timestamp of the review.
• Summary: Short summary of the review.
• Text: Full text of the review.

Distribution

• Data Volume: 568454 rows and 9 columns.
• Format: CSV.
• Structure: Tabular format with numerical, categorical, and text data.

Usage

This dataset is ideal for a variety of applications:

• Sentiment Analysis: Training NLP models to predict sentiment based on reviews.
• Product Recommendation Systems: Building collaborative filtering models.
• Trend Analysis: Identifying popular products and customer preferences.
• Fake Review Detection: Detecting anomalous patterns in review behaviours.

Coverage

• Geographic Coverage: Global.
• Time Range: Multi-year dataset (over 10 years of reviews).
• Demographics: General Amazon shoppers; includes various age groups and customer segments.

License

CC0

Who Can Use It

• Data Scientists: For building machine learning models.
• Researchers: For academic analysis of customer behaviour.
• Businesses: For market insights and customer sentiment analysis.

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.

The Over-The-Top (OTT) market is experiencing explosive growth, projected to reach a value of $0.58 billion in 2025 and exhibiting a remarkable Compound Annual Growth Rate (CAGR) of 28.19% from 2025 to 2033. This expansion is fueled by several key drivers. The increasing affordability and accessibility of high-speed internet globally is a major factor, allowing consumers to easily stream content. The rising popularity of mobile devices and smart TVs further enhances convenience, driving adoption. Moreover, the continuous evolution of content offerings, including original programming and diverse genres catering to niche audiences, keeps viewers engaged. Competition among established players like Netflix, Amazon Prime Video, and Disney+ alongside the emergence of innovative regional players is fueling innovation and keeping prices competitive, further stimulating market growth. The segment breakdown suggests that Subscription Video on Demand (SVOD) likely dominates the market, followed by Transactional Video on Demand (TVOD) and Advertising Video on Demand (AVOD). However, market growth is not without its challenges. The intensifying competition necessitates continuous investment in content creation and technological infrastructure. Content piracy remains a significant concern, impacting revenue streams. Furthermore, regional variations in internet penetration and consumer preferences require tailored strategies for successful market penetration. Successfully navigating these challenges hinges on strategic content acquisitions, effective marketing campaigns targeting specific demographics, and robust anti-piracy measures. The future of the OTT market hinges on technological advancements such as improved streaming quality, personalized recommendations, and interactive content experiences, ensuring sustained growth and viewer engagement throughout the forecast period. Geographic expansion, particularly into underserved regions, also presents significant opportunities for market expansion. This in-depth report provides a comprehensive analysis of the global Over-The-Top (OTT) market, encompassing its evolution, current state, and future projections from 2019 to 2033. The report leverages extensive data analysis and market insights, covering key aspects influencing the OTT landscape, including technological advancements, consumer behavior, regulatory frameworks, and competitive dynamics. This study is crucial for businesses seeking to understand and capitalize on the burgeoning opportunities within the rapidly expanding OTT sector. We analyze market trends, growth drivers, challenges, and emerging technologies shaping the future of streaming media. The study period is 2019-2033, with 2025 as the base year and estimated year, and a forecast period of 2025-2033. Recent developments include: May 2023 - Jio Fibre and OTTplay Premium have collaborated to provide 19 OTTs to Jio Set-Top Box consumers. OTTplay Premium is well-known for its high-quality and varied content, designed to give users a personalized, smooth, and premium streaming experience. With this connection, Jio set-top box customers could download the OTTplay app from the Jio Store and access prominent OTT platforms like Sony Liv, Zee5, Lionsgate, FanCode, and 15 more, all under one roof., October 2022 - Vislink has announced and introduced a new integrated collaboration with sports OTT provider StreamViral as part of their exhibition at Sportel 2022 in Monaco. Vislink, a significant broadcast live streaming production technology provider, is now delivering an OTT playout and distribution platform to complement its Artificial Intelligence (AI) cameras, which can generate captivating sports productions without using live camera operators., September 2022 - Medianova and streaming platform Jet-Stream announced a partnership to provide Medianova's CDN service within Jet-Stream's service. Jet-Stream Airflow Multi CDN is integrated into Jet-Stream Cloud services with the partnership., May 2022 - Sony Sports Network has announced that Roland-Garros 2022, the second grand slam event of the year, will be aired in four regional languages for live broadcast in India. The tournament can be streamed on Sony Sports Network's on-demand OTT platform SonyLIV.. Key drivers for this market are: Adoption of Smart Devices & Greater Access to Higher Internet Speeds, Ongoing Shift Towards Commoditization of Sporting & Entertainment Services Coupled with Growing Competition Among OTT Providers; Increasing Adoption of SVOD (subscription - Based Services) in Emerging Markets. Potential restraints include: Growing Threat of Video Content Piracy and Security Threat of User Database Due to Spyware. Notable trends are: Adoption of Smart Devices & higher Internet Speeds is Expected to Drive Over the Top (OTT) Market.

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.

The report offers Amazon Web Services Consulting Service Market Dynamics, Comprises Industry development drivers, challenges, opportunities, threats and limitations. A report also incorporates Cost Trend of products, Mergers & Acquisitions, Expansion, Crucial Suppliers of products, Concentration Rate of Steel Coupling Economy. Global Amazon Web Services Consulting Service Market Research Report covers Market Effect Factors investigation chiefly included Technology Progress, Consumer Requires Trend, External Environmental Change.

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.

The size of the Over The Top Content Market was valued at USD 178.6185 Billion in 2024 and is projected to reach USD 489.78 Billion by 2033, with an expected CAGR of 15.50% during the forecast period. The Over-The-Top (OTT) content market has witnessed rapid growth in recent years, driven by increasing internet penetration, smartphone adoption, and demand for on-demand entertainment. OTT platforms offer diverse content, including movies, TV shows, web series, and live streaming services, catering to varied consumer preferences. The rise of subscription-based and ad-supported models has enhanced accessibility, with major players like Netflix, Amazon Prime Video, and Disney+ dominating the global landscape. Regional platforms are also expanding, offering localized content to attract niche audiences. Technological advancements, including artificial intelligence, cloud computing, and data analytics, are enhancing content recommendation and user experience. Additionally, strategic partnerships and collaborations among production houses, telecom operators, and streaming platforms are fueling market expansion. Challenges such as content piracy, regulatory restrictions, and high competition persist, but ongoing innovation continues to drive industry evolution. With a shift toward original productions and interactive content, the OTT market is poised for sustained growth. The integration of virtual reality, augmented reality, and artificial intelligence is expected to further revolutionize content delivery, ensuring that OTT remains a dominant force in the entertainment industry. Recent developments include: December 2022: Netflix has collaborated with Nike Training Club in order to provide workout and fitness programming to the OTT platform. The fitness content is being provided to the video streaming platform via the collaboration between Netflix and Nike Training Club., November 2022: A smartphone version of its Prime Video membership was introduced by Amazon, with rupees 599 of cost annually. This plan would be used specifically in India, and the consumers can buy a yearly subscription for their mobile access utilizing the official website of the Android app., September 2022: Streaming platforms Jet-Stream and Medianova announced a partnership to offer CDN service of Medianova within the service of Jet-Stream. As per the partnership, Jet-Stream Airflow Multi CDN is integrated into Jet-Stream Cloud services.. Key drivers for this market are: Growing internet penetration and smartphone usage

Increasing consumer demand for personalized and convenient entertainment experiences

Technological advancements such as 4K streaming and personalized recommendations

Expansion into emerging markets with large populations and growing internet access. Potential restraints include: Intense competition and high churn rate

Piracy and illegal content distribution

Regulatory challenges and content censorship issues

Limited broadband infrastructure in certain regions

Fluctuating advertising revenue for AVOD services. Notable trends are: Rise of interactive and personalized content

Integration of AI and machine learning for content discovery

Expansion into gaming and e-commerce

Convergence of OTT platforms and social media.

This dataset contains the historical stock data for Amazon.com Inc. (AMZN), sourced from Yahoo Finance, spanning from its initial public offering (IPO) in May 1997 through to December 2024. The data includes daily stock prices and provides essential details such as:

Date: The specific trading date for each record. Open: The opening price of Amazon’s stock for that day. High: The highest price reached by Amazon’s stock on that day. Low: The lowest price of Amazon's stock on that day. Close: The closing price for Amazon’s stock on that day. Adj Close: The adjusted closing price which accounts for stock splits and dividend payments. Volume: The number of shares traded on that particular day. This dataset is ideal for those interested in analyzing Amazon’s stock performance over time. It provides insights into the company’s growth from its early days as an online bookstore to becoming a global e-commerce and tech giant. It can be used for financial analysis, stock market prediction, and other machine learning applications.

Source: The data has been sourced from Yahoo Finance, a trusted and widely-used platform for obtaining historical stock market data.

Data Usage:

Time Series Analysis: Analyze Amazon’s stock price trends over time. Stock Price Prediction: Build predictive models to forecast future stock movements. Financial Analysis: Perform in-depth analysis of Amazon’s stock volatility, growth, and market behavior.

Gain insights into Amazon’s beauty and personal care market with this comprehensive Amazon Beauty Products Dataset. Covering 47,000 records across skincare, haircare, and makeup, this dataset provides full ingredient lists, product descriptions, pricing, and availability. Ideal for researchers and businesses focused on ingredient transparency, beauty trend analysis, and competitive market insights. Perfect for applications in ingredient research, product development, and e-commerce analysis.

The dataset includes the following fields:

• ASIN: Unique Amazon product identifier.
• Product Name and Description: Full titles and descriptions of each product.
• Price and Availability: Current pricing and stock status.
• Categories: Product type classification (e.g., skincare, haircare, makeup).
• Ingredients: Complete ingredient lists, ensuring transparency about product composition.
• Images: High-quality product images.
• Brand and Manufacturer Information: Details of the brand and manufacturer.
• Customer Ratings and Reviews: User-generated content for understanding product popularity and performance.

This dataset is invaluable for:

• Ingredient Analysis: Understanding popular ingredients in beauty products.
• Market Research: Analyzing trends in beauty products, such as ingredient types and product categories.
• Competitive Analysis: Assessing product offerings by brand, price, and ingredients.

Whether you’re focused on skincare, haircare, makeup, or other beauty categories, this dataset provides in-depth information for deep analysis. For any custom requirements or additional data needs, please feel free to reach out.

About Dataset

This dataset contains detailed information about phones listed on Amazon, including product specifications, user reviews, ratings, and pricing. The dataset can be useful for analyzing product trends, consumer preferences, pricing strategies, and technical features of smartphones sold on the platform. It includes both new and Amazon-renewed phones.

Description

The dataset includes the following key features:

• Color: The available color of the phone.
• Image Links: URLs to the images of the products.
• Descriptions: Detailed descriptions of the phone, including specifications.
• Kind Product: The type or category of the product (smartphones, accessories, etc.).
• Ratings: User ratings (out of 5 stars).
• Number of Ratings: Total count of ratings the product has received.
• Status: Availability status (e.g., In Stock, Out of Stock).
• Number of Buyers Last Month More Than: Approximate number of buyers in the previous month.
• Typical Price: The regular price with usd of the phone without any discounts.
• Price: The current price with usd of the phone.
• You Save: The amount saved if the phone is on discount.
• Discount: The percentage discount offered on the product.
• Brand: The brand name of the phone (e.g., Apple, Samsung).
• OS: The operating system of the phone (e.g., Android, iOS).
• CPU Model: The model of the processor used in the phone.
• Resolution: The screen resolution of the phone.
• Name: The product name as listed on Amazon.
• Wireless Carrier: The supported wireless carrier (e.g., Verizon, AT&T).
• Cellular Technology: The cellular network technology (e.g., 4G, 5G).
• Dimensions: Physical dimensions of the phone.
• ASIN: Amazon Standard Identification Number, a unique product identifier.
• Model: The model number of the phone.
• Amazon Renewed: Indicates whether the product is part of the Amazon Renewed program (refurbished).
• Renewed Smartphones: Additional flag indicating if the phone is renewed.
• Battery Capacity: The capacity of the phone’s battery (in mAh).
• Battery Power: The power rating of the battery.
• Charging Time: Time taken to charge the phone fully.
• RAM: The amount of RAM in the phone.
• Storage: Internal storage capacity of the phone.
• Screen Size: Size of the display (in inches).
• Connectivity Technologies: Wireless technologies supported by the phone (e.g., Bluetooth, Wi-Fi).
• Wireless Network: Type of wireless networks supported (e.g., Wi-Fi 6).
• CPU Speed: The speed of the phone’s CPU (in GHz).
• Reviews USA: User reviews originating from the USA.
• Reviews Other: User reviews from countries other than the USA.

Detail

This dataset includes a comprehensive range of variables, offering insight into both the technical aspects and customer perceptions of various smartphones sold on Amazon. The dataset allows for:

• Product Comparisons: Comparison of specifications like RAM, CPU, storage, battery life, screen size, etc.
• Pricing Analysis: Understanding pricing trends, discounts, and price fluctuations across different brands and models.
• Consumer Insights: Analysis of consumer behavior through ratings, reviews, and the number of buyers over time.
• Product Availability: Insights into stock availability and how often certain products are sold or renewed.

Usage

The dataset can be used for several purposes, including but not limited to:

1. Market Research: Analyze product popularity and trends in smartphone sales on Amazon.
2. Sentiment Analysis: Perform sentiment analysis on reviews (USA and other countries) to understand customer satisfaction.
3. Price Forecasting: Build models to forecast price changes or identify the best time to buy based on historical data.
4. Product Recommendations: Develop recommendation systems based on user reviews, ratings, and product features.
5. Competitive Analysis: Compare different brands and models to identify strengths and weaknesses of various smartphones.
6. Feature Engineering for ML Models: Use product specifications like RAM, CPU speed, and battery power to create features for predictive machine learning models.

Summary

This Amazon product phones dataset provides an in-depth look at smartphones sold on Amazon, covering everything from technical specifications to user reviews and pricing. It is ideal for anyone looking to analyze trends in the smartphone market, consumer preferences, or technical specifications. The data can be leveraged for a wide array of projects such as market analysis, machine learning, and competitive intelligence.

The online revenue of amazon.co.uk amounted to US$17,903.2m in 2024. Discover eCommerce insights, including sales development, shopping cart size, and many more.

Amazon’s market share performance will remain under pressure, with its market place business model and rules on selling wholly owned stock restricting its dominance over the market. Its services, fulfilment options and vendor coverage will be essential in protecting future growth and maintaining its lead over Flipkart and smaller domestic rivals. So it is now selling its services rather than its own products. It is a leading channel for other vendors’ sales so when including these third party sales it, along with Flipkart, delivers the largest share of retail sales online. However its own product retail sales will decrease rather than expand due to the new regulations. Read More

Market Analysis for Amazon Redshift Consulting Services The global Amazon Redshift consulting services market is projected to reach a valuation of USD 14.2 billion by 2033, exhibiting a CAGR of 25.8% during the forecast period (2025-2033). The growing adoption of cloud-based data warehousing solutions, increasing demand for data analytics and optimization, and stringent data protection regulations are driving market growth. The market is segmented by application into large enterprises and SMEs, and by type into online and offline services. Large enterprises are expected to dominate the market due to their high demand for data analytics and management. The competitive landscape is fragmented, with a multitude of established players and emerging startups operating in the market. Key players include One Six Solutions, 2nd Watch, REAN Cloud, 8KMiles, and Achievion Solutions. The market is characterized by strategic acquisitions, partnerships, and product innovations to gain competitive advantage. Regional players are also emerging in key markets such as Asia Pacific and Latin America. The market is expected to witness continued growth in the coming years, driven by the increasing adoption of cloud-based data warehousing solutions, the growing demand for data analytics, and the need for data protection and compliance.