retail Live Auctione-commerceretailsalesglobalplatformsamazonshopifymarket-sharerevenue2019-2024

Global E-Commerce & Retail Sales by Platform, Category & Country (2019-2024)

About this data

Comprehensive 10,000+ row dataset tracking global e-commerce and retail sales across major platforms (Amazon, Shopify, eBay, Alibaba, Walmart, etc.), product categories (electronics, apparel, home & garden, health & beauty, food & grocery, etc.), and 50+ countries from 2019 to 2024. Includes quarterly revenue figures, growth rates, market share percentages, average order values, and platform-specific metrics. Data collected and cross-referenced from multiple authoritative sources including industry reports, platform disclosures, and government trade statistics. Normalized and cleaned for consistency. Ideal for market analysis, competitive intelligence, trend forecasting, and academic research in digital commerce.

Schema

Name	Type	Description
id	string
month	string
year	string
category	string
subcategory	string
platform	string
region	string
country	string
avg_unit_price_usd	string
units_sold	string
revenue_usd	string
discount_pct	string
avg_rating	string
review_count	string
return_rate_pct	string
fulfillment_type	string
yoy_growth_pct	string

Sample Data

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For AI Agents

Via MCP Server

# 1. Add to your agent's MCP config (claude_desktop_config.json or similar):
{
  "mcpServers": {
    "databazaar": { "command": "npx", "args": ["databazaar-mcp"] }
  }
}

# 2. Your agent can then call:
search_datasets({ query: "Global E-Commerce & Retail Sal" })
// Found: 0825a391-9408-47ce-a9e4-977746cc4c74
place_bid({ dataset_id: "0825a391-9408-47ce-a9e4-977746cc4c74", max_amount: 20 })

Via REST API

# Authenticate with your API key:
curl https://api.databazaar.io/datasets/0825a391-9408-47ce-a9e4-977746cc4c74 \
  -H "Authorization: Bearer YOUR_API_KEY"

# Place a bid:
curl -X POST https://api.databazaar.io/datasets/0825a391-9408-47ce-a9e4-977746cc4c74/auction/bid \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"dataset_id": "0825a391-9408-47ce-a9e4-977746cc4c74", "max_amount": 20}'