This dataset simulates sales transactions for mobile phones and laptops, including product specifications, customer details, and sales information. It contains 50,000 rows of randomly generated data to help analyze product sales trends, customer purchasing behavior, and regional distribution of sales.

Dataset Overview

• Dataset Type: Structured tabular data
• Number of Rows: 50,000
• Number of Columns: 16

Purpose of the Dataset
This dataset can be used for:
✅ Sales Analysis – Understanding product demand and pricing trends.
✅ Customer Behavior Analysis– Identifying buying patterns across locations.
✅ Inventory Management – Monitoring inward and dispatched product movements.
✅ Machine Learning & AI – Predicting sales trends, customer preferences, and stock management.

Key Features in the Dataset

1. Product Information

   • Product: Type of product (Mobile Phone / Laptop).
   • Brand: Various brands like Apple, Samsung, Dell, Lenovo, OnePlus, etc.
   • Product Code: Unique identifier for each product.
   • Product Specification: Brief description of the product features.

2. Sales & Pricing Details

   • Price: Cost of the product (randomly generated).
   • Inward Date: Date when the product was received in stock.
   • Dispatch Date: Date when the product was sold/dispatched.
   • Quantity Sold: Number of units sold per transaction.

3. Customer & Location Details

   • Customer Name: Randomly generated customer names.
   • Customer Location: City of the customer.
   • Region: Sales region (North, South, East, West, Central).

4. Technical Specifications -Core Specification (For Laptops): Includes processor models like i3, i5, i7, i9, Ryzen 3-9.
   -Processor Specification (For Mobiles): Includes processors like Snapdragon, Exynos, Apple A-Series, and MediaTek Dimensity.
   -RAM: Randomly assigned memory sizes (4GB to 32GB).
   -ROM: Storage capacity (64GB to 1TB).
   -SSD (For Laptops): Additional storage (256GB to 2TB), "N/A" for mobile phones.

Potential Use Cases: Business Intelligence Dashboards Market Trend Analysis Supply Chain Optimization
Customer Segmentation
Machine Learning Model Training (Sales Prediction, Price Optimization, etc.)

One of the leading retail chain in London which sells Laptops and accesories and having more than 15 stores across different locations is interested in defining the product strategy and pricing policies that would maximize revenues for the upcoming year. Data Availability- - POS Transactions.csv- Laptop Sales information - Laptops.csv- Laptops configuration and product information -Stores.csv- Stores geographical information

In 2022, the global gaming laptop market was valued at ***** billion U.S. dollars, with ***** million units produced in that same year. By 2028, market production is expected to reach ***** million, while the market will grow to ***** billion U.S. dollars.

In 2022, the global gaming laptop market was valued at ***** billion U.S. dollars, with forecasts predicting that the market will reach ***** billion U.S. dollars by 2032. As the source suggests, the market will experience a compound annual growth rate of *** percent between 2022 and 2032.

This dataset provides a comprehensive collection of information on various laptops, enabling a detailed analysis of their specifications and pricing. It encompasses a wide range of laptops, encompassing diverse brands, models, and configurations, making it a valuable resource for researchers, data analysts, and machine learning enthusiasts interested in the laptop industry.

The data comes from the spanish website PC componentes.

Fields included:

• Laptop Name: The unique identifier or model name of the laptop.
• Brand: Laptop brand.
• Model: Laptop brand model.
• CPU (Central Processing Unit): The processor brand, model, and other relevant details.
• GPU (Graphics Processing Unit): The graphics card brand, model, and associated specifications.
• RAM (Random Access Memory): The amount of memory available for multitasking.
• Storage: The storage type (HDD, SSD) and capacity of the laptop.
• Price: The cost of the laptop in the respective currency.

By utilizing this dataset, researchers and analysts can explore patterns, trends, and relationships between laptop specifications and their pricing. It serves as an excellent resource for tasks such as price prediction, market analysis, and comparison of different laptop configurations. Whether you are interested in identifying the most cost-effective options or understanding the impact of specific hardware components on laptop prices, this dataset offers abundant possibilities for in-depth exploration.

The revenue change in the 'Laptops' segment of the consumer electronics market in the Nordics was modeled to be ***** percent in 2024. From 2019 to 2024, the revenue change rose by **** percentage points, though the increase followed an uneven trajectory rather than a consistent upward trend. Between 2024 and 2030, the revenue change will rise by **** percentage points, showing an overall upward trend with periodic ups and downs.Further information about the methodology, more market segments, and metrics can be found on the dedicated Market Insights page on Laptops.

The dataset is the laptop listings on Flipkart, an ecommerce website in India. This is an unprocessed dataset. It contains 984 unique entries. This unprocessed dataset contains 96 features (Ex: Laptop name, link to buy, price in Indian rupees, processor, GPU, etc.). This dataset was created by scraping data from the web (dated June).

Features:

Product link Laptop name User rating Price
Sales Package
Model Number
Part Number Model Name
Series
Color
Type
Suitable For
Power Supply Battery Cell
MS Office Provided
Dedicated Graphic Memory Type
Dedicated Graphic Memory Capacity
Processor Brand Processor Name
Processor Generation
SSD SSD Capacity
RAM RAM Type
Processor Variant
Clock Speed Expandable Memory
Cache
Graphic Processor
Number of Cores OS Architecture Operating System
Supported Operating System
Mic In
USB Port HDMI Port
Touchscreen Screen Size Screen Resolution
Screen Type Speakers
Internal Mic
Sound Properties
Wireless LAN Bluetooth
Dimensions
Weight
Disk Drive
Finger Print Sensor Keyboard
Backlit Keyboard
Additional Features Warranty Summary
Warranty Service Type
Covered in Warranty Not Covered in Warranty Domestic Warranty
Ethernet Web Camera
Pointer Device
Included Software Battery Backup
Chipset Memory Slots RAM Frequency
RJ45
Sound Chip
Brightness
Laptop Bag
Other Accessories
International Warranty
Wireless WAN Recovery Options
RPM Hardware Interface
Face Recognition
System Architecture Refresh Rate
Antivirus Multi Card Slot Lock Port
NFC Support HDD Capacity
Stylus Included TGP VGA Port Color Gamut Security Chip
Inbuilt 4G LTE Cloud Storage
S-video Dock Port
Firewire Port
RJ11
Read/Write Speed
EMMC Storage Capacity
Optane Memory

Discover the latest market forecast for laptops and palm-top computers over the next decade, as demand continues to rise globally. By 2035, the market is projected to reach 643M units, with a value of $288.8B.

The statistic shows the wholesale revenue from laptop sales in the United States from 2015 to 2017. Wholesale sales of laptops in the United States are forecast to amount to ***** billion U.S. dollars in 2017.

Discover the booming touchscreen laptop market! Explore key trends, growth projections (12% CAGR), leading companies (Microsoft, Lenovo, Samsung), and regional insights from our comprehensive market analysis (2019-2033). Learn about the driving forces behind this dynamic sector and understand its future potential.

Cellular Connected Laptops Market size was valued at USD 2.87 Billion in 2023 and is projected to reach USD 3.78 Billion by 2031, growing at a CAGR of 3.6% during the forecast period 2024-2031.

Global Cellular Connected Laptops Market Drivers

The market drivers for the Cellular Connected Laptops Market can be influenced by various factors. These may include:

Increasing Demand for Remote Work Solutions: The surge in remote work and flexible job arrangements has significantly increased the demand for cellular connected laptops. Businesses and individuals require reliable and uninterrupted internet access while working from home or on the go. This trend has propelled the need for devices that offer cellular connectivity, enabling users to remain productive without being tethered to Wi-Fi networks. Companies are investing in these laptops to ensure seamless communication and collaboration among remote teams. As remote work becomes a long-term strategy for many organizations, the market is likely to see sustained growth in cellular connected laptop sales.

Advancements in Cellular Technology: The rapid advancements in cellular technology, particularly the rollout of 5G networks, are driving the growth of the cellular connected laptops market. With increased speeds and reduced latency, 5G technology enhances the user experience by enabling faster downloads, improved streaming quality, and more reliable connections. These innovations make cellular connected laptops more appealing for a variety of applications, from entertainment to business operations. Manufacturers are thus integrating advanced cellular capabilities into new laptop models, ensuring that consumers have access to the most up-to-date connectivity options. This technological evolution is crucial for attracting tech-savvy users who demand high performance.

Global Cellular Connected Laptops Market Restraints

Several factors can act as restraints or challenges for the Cellular Connected Laptops Market. These may include:

High Cost of Cellular Connectivity: The initial investment for integrating cellular connectivity into laptops can be significantly higher than traditional Wi-Fi-only models. This added expense can deter price-sensitive consumers and small enterprises from adopting cellular-connected laptops. Moreover, ongoing costs associated with data plans and network subscriptions can further escalate overall expenses. Although cellular connectivity offers enhanced convenience, the reluctance to invest in higher-priced devices or additional monthly fees can restrain market growth. Consequently, manufacturers must strategize to offer competitive pricing or bundled data services to attract a broader customer base while mitigating the perceived cost barriers.

Limited Network Coverage: Cellular connectivity is heavily dependent on network availability, which can vary significantly by geography. In rural or less densely populated areas, the lack of a strong cellular signal can severely limit the usability of cellular-connected laptops. This can result in decreased performance and user dissatisfaction, ultimately hindering market penetration in such regions. Furthermore, fragmentation of network standards and reliance on specific carriers can restrict user choice and flexibility, deterring potential buyers. As consumers increasingly seek reliable and ubiquitous connectivity, inadequate network coverage can become a significant barrier, affecting sales and adoption rates in various markets.

I extract data from eBay's website specifically related to the category of Laptops and Netbooks. This type of scraper is typically programmed to navigate through eBay's web pages, retrieve relevant information about laptops and netbooks listings, and compile this data into a dataset. The dataset may include details such as product titles, descriptions, prices, seller information, and other relevant attributes.

Scraper: Github

Dataset description (Unclean version):

• Brand: The manufacturer or company that produces the laptop.

• Price: The cost of the laptop as listed on eBay.

• Rating: The overall rating or feedback score given by previous buyers.

• Ratings Count: The number of ratings or reviews received for the laptop.

• Condition: The state of the laptop, such as new, used, refurbished, etc.

• Seller Note: Additional information or notes provided by the seller regarding the laptop.

• Processor: The central processing unit (CPU) that powers the laptop.

• Screen Size: The diagonal measurement of the laptop screen in inches.

• Manufacturer Color: The color specified by the laptop manufacturer.

• Color: The actual color of the laptop as listed by the seller.

• Ram Size: The amount of random access memory (RAM) in the laptop.

• SSD Capacity: The storage capacity of the solid-state drive (SSD) in the laptop.

• GPU: The graphics processing unit responsible for rendering images and videos.

• Processor Speed: The clock speed of the laptop's processor, usually measured in GHz.

• Type: The type of laptop, such as notebook, ultrabook, 2-in-1, etc.

• Release Year: The year the laptop model was released.

• Maximum Resolution: The highest display resolution supported by the laptop.

• Model: The specific model name or number of the laptop.

• OS: The operating system installed on the laptop, e.g., Windows, macOS, Linux.

• Features: Additional functionalities or specifications of the laptop.

• Hard Drive Capacity: The storage capacity of the traditional hard disk drive (HDD) if applicable.

• Country Region Of Manufacture: The country where the laptop was manufactured.

• Storage Type: The type of storage technology used, e.g., HDD, SSD, hybrid.

Discover the latest market trends in the United States for laptop and tablet computers with an expected growth in consumption over the next decade. Anticipate a slight increase in market performance with a projected CAGR of +0.9% for the period from 2024 to 2035, reaching 96M units. In terms of value, expect a forecasted CAGR of +1.0% for the same period, bringing the market value to $46.9B by the end of 2035.

Learn about the expected growth in the laptop and tablet computer market in the United States over the next decade, with a projected increase in market volume to 95M units by 2035.

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The laptop market is expected to grow at a CAGR of 1% during the forecast period. Increasing demand for 2-in-1 laptops, drivers.2, and drivers.3 are some of the significant factors fueling laptop market growth.

Increasing demand for 2-in-1 laptops

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54438 Global import shipment records of Laptop Sales with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

The revenue change in the 'Laptops' segment of the consumer electronics market worldwide was modeled to be ***** percent in 2024. From 2019 to 2024, the revenue change rose by **** percentage points, though the increase followed an uneven trajectory rather than a consistent upward trend. Between 2024 and 2030, the revenue change will rise by **** percentage points, showing an overall upward trend with periodic ups and downs.Further information about the methodology, more market segments, and metrics can be found on the dedicated Market Insights page on Laptops.

Learn about the forecasted growth of the laptop and palm-top computer market over the next decade, with an expected increase in market volume and value by 2035.