Retail Sales in the United States decreased 0.90 percent in May of 2025 over the previous month. This dataset provides - U.S. December Retail Sales Increased More Than Forecast - actual values, historical data, forecast, chart, statistics, economic calendar and news.

A global survey from Capgemini showed that retail companies were lagging behind consumer products enterprises in the use of data. The gap was significant in the automation of processes and in data collecting: only ** percent of retailers automated data collection, against ** percent of consumer goods companies. However, one in **** organizations in both categories reported to have implemented practices involving data engineering, machine learning, and DevOps.

This statistic shows a trend in total retail sales including food services in the United States from January 2017 to March 2025. In March 2025, U.S. retail sales had amounted to an estimated ************* U.S. dollars (not adjusted), which is an increase of *** compared to the same month one year earlier.

A detailed dataset exploring the retail industry in 2025, including market size, store counts, revenue trends, AI integration, and consumer behavior across the US and globally.

The Data Analytics in Retail Industry is segmented by Application (Merchandising and Supply Chain Analytics, Social Media Analytics, Customer Analytics, Operational Intelligence, Other Applications), by Business Type (Small and Medium Enterprises, Large-scale Organizations), and Geography. The market size and forecasts are provided in terms of value (USD billion) for all the above segments.

Key information about France Retail Sales Growth

• France Retail Sales grew 1.6 % YoY in Dec 2024, compared with a 1.8 % increase in the previous month.
• France Retail Sales Growth YoY data is updated monthly, available from Jan 1996 to Dec 2024, with an average growth rate of 2.4 %.
• The data reached an all-time high of 43.9 % in Apr 2021 and a record low of -31.5 % in Apr 2020.
• In the latest reports, Car Sales of France recorded 1,929,554.0 units in Dec 2022, representing a drop of 9.9 %.

CEIC calculates monthly Retail Sales: Excl. Motor Vehicles Growth from monthly Retail Trade Index. The National Institute of Statistics and Economic Studies provides Retail Trade Index with base 2021=100. Retail Sales: Excl. Motor Vehicles Growth prior to January 2006 is calculated from Retail Trade Index with base 2010=100.

In 2024, the in-store or brick-and-mortar retail channel was forecast to account for **** percent of total retail sales in the United States. By 2028, e-commerce is expected to make up ** percent of all retail sales.

Retail Sales in Norway increased 0.10 percent in May of 2025 over the same month in the previous year. This dataset provides - Norway Retail Sales YoY - actual values, historical data, forecast, chart, statistics, economic calendar and news.

A comprehensive dataset providing key insights into the eCommerce industry, including global retail online sales projections, number of eCommerce stores, digital buyer statistics, revenue growth in the United States, sector-wise revenue details with a focus on consumer electronics, average conversion rates, and mobile commerce sales forecasts.

Retail Trade, sales by industries based on North American Industry Classification System (NAICS), monthly.

A listing of all retail food stores which are licensed by the Department of Agriculture and Markets.

China Retail Sales of Consumer Goods: MoM: SA data was reported at 0.580 % in Mar 2025. This records a decrease from the previous number of 0.620 % for Feb 2025. China Retail Sales of Consumer Goods: MoM: SA data is updated monthly, averaging 0.810 % from Feb 2011 (Median) to Mar 2025, with 170 observations. The data reached an all-time high of 4.980 % in May 2020 and a record low of -10.770 % in Jan 2020. China Retail Sales of Consumer Goods: MoM: SA data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Consumer Goods and Services – Table CN.HA: Retail Sales of Consumer Goods: National Statistical Bureau.

Retail Sales in Slovakia decreased 1.80 percent in May of 2025 over the same month in the previous year. This dataset provides - Slovakia Retail Sales YoY - actual values, historical data, forecast, chart, statistics, economic calendar and news.

This table contains 3 series, with data for years 2016 - 2017 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada); Sales (3 items: Retail trade; Electronic shopping and mail-order houses; Retail E-commerce sales).

Financial estimates for retail trade, for all members under dimension financial estimates, for Canada, provinces and territories, available on an annual basis.

Retail Sales in Finland decreased 1.70 percent in May of 2025 over the previous month. This dataset provides - Finland Retail Sales MoM - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Retail Sales in Canada increased 5 percent in April of 2025 over the same month in the previous year. This dataset provides - Canada Retail Sales YoY - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Retail sales data for Great Britain in value and volume terms, seasonally and non-seasonally adjusted.

Success.ai’s Retail Data for the Retail Sector in North America offers a comprehensive dataset designed to connect businesses with key players across the diverse retail industry. Covering everything from department stores and supermarkets to specialty shops and e-commerce platforms, this dataset provides verified contact details, business locations, and leadership profiles for retail companies in the United States, Canada, and Mexico.

With access to over 170 million verified professional profiles and 30 million company profiles, Success.ai ensures your outreach, marketing, and business development efforts are powered by accurate, continuously updated, and AI-validated data.

Backed by our Best Price Guarantee, this solution empowers businesses to thrive in North America’s competitive retail landscape.

Why Choose Success.ai’s Retail Data for North America?

1. Verified Contact Data for Precision Outreach

   • Access verified phone numbers, work emails, and LinkedIn profiles of retail executives, store managers, and decision-makers.
   • AI-driven validation ensures 99% accuracy, enabling confident communication and efficient campaign execution.

2. Comprehensive Coverage Across Retail Segments

   • Includes profiles of retail businesses across major markets, from large department stores and grocery chains to boutique retailers and online platforms.
   • Gain insights into the operational dynamics of retail hubs in cities such as New York, Los Angeles, Toronto, and Mexico City.

3. Continuously Updated Datasets

   • Real-time updates reflect leadership changes, new store openings, market expansions, and shifts in consumer preferences.
   • Stay aligned with evolving industry trends and emerging opportunities in the North American retail sector.

4. Ethical and Compliant

   • Adheres to GDPR, CCPA, and other privacy regulations, ensuring responsible and lawful use of data in your campaigns.

Data Highlights:

• 170M+ Verified Professional Profiles: Engage with executives, marketing directors, and operations managers across the North American retail sector.
• 30M Company Profiles: Access firmographic data, including revenue ranges, store counts, and geographic footprints.
• Store Location Data: Pinpoint retail outlets, regional offices, and distribution centers to refine supply chain and marketing strategies.
• Leadership Contact Details: Connect with CEOs, CMOs, and procurement officers influencing retail operations and vendor selections.

Key Features of the Dataset:

1. Retail Decision-Maker Profiles

   • Identify and engage with store owners, category managers, and marketing directors shaping customer experiences and product strategies.
   • Target professionals responsible for inventory planning, vendor contracts, and store performance.

2. Advanced Filters for Precision Targeting

   • Filter companies by industry segment (luxury, grocery, e-commerce), geographic location, company size, or revenue range.
   • Tailor outreach to align with regional market trends, customer demographics, and operational priorities.

3. Market Trends and Operational Insights

   • Analyze trends such as online shopping growth, sustainability practices, and supply chain optimization.
   • Leverage insights to refine product offerings, identify partnership opportunities, and design effective campaigns.

4. AI-Driven Enrichment

   • Profiles enriched with actionable data enable personalized messaging, highlight unique value propositions, and enhance engagement outcomes.

Strategic Use Cases:

1. Sales and Lead Generation

   • Present products, services, or technology solutions to retail procurement teams, marketing departments, and operations managers.
   • Build relationships with retailers seeking innovative tools, efficient supply chain solutions, or unique product offerings.

2. Market Research and Consumer Insights

   • Analyze retail trends, customer behaviors, and seasonal demands to inform marketing strategies and product launches.
   • Benchmark against competitors to identify gaps, emerging niches, and growth opportunities.

3. E-Commerce and Digital Strategy Development

   • Target e-commerce managers and digital transformation teams driving online retail initiatives and omnichannel integration.
   • Offer solutions to enhance online shopping experiences, logistics, and customer loyalty programs.

4. Recruitment and Workforce Solutions

   • Engage HR professionals and hiring managers in recruiting talent for store operations, customer service, or marketing roles.
   • Provide workforce optimization tools, training platforms, or staffing services tailored to retail environments.

Why Choose Success.ai?

1. Best Price Guarantee

   • Access premium-quality retail data at competitive prices, ensuring strong ROI for your marketing and outreach efforts in North America.

2. Seamless Integration
   ...

Retail Sales of Consumer Goods: Shanghai data was reported at 128.006 RMB bn in Mar 2025. This records a decrease from the previous number of 157.034 RMB bn for Dec 2024. Retail Sales of Consumer Goods: Shanghai data is updated monthly, averaging 73.771 RMB bn from Jan 2002 (Median) to Mar 2025, with 233 observations. The data reached an all-time high of 172.656 RMB bn in Nov 2021 and a record low of 15.589 RMB bn in Apr 2002. Retail Sales of Consumer Goods: Shanghai data remains active status in CEIC and is reported by Shanghai Municipal Bureau of Statistics. The data is categorized under Global Database’s China – Table CN.HA: Retail Sales of Consumer Goods: Provincial and Municipal Statistical Bureau. [COVID-19-IMPACT]