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.

Sourcing accurate and up-to-date geodemographic data across Asia and MENA has historically been difficult for retail brands looking to expand their store networks in these regions. Either the data does not exist or it isn't readily accessible or updated regularly.

GapMaps uses known population data combined with billions of mobile device location points to provide highly accurate and globally consistent geodemographic datasets across Asia and MENA at 150m x 150m grid levels in major cities and 1km grids outside of major cities.

With this information, brands can get a detailed understanding of who lives in a catchment, where they work and their spending potential which allows you to:

• Better understand your customers
• Identify optimal locations to expand your retail footprint
• Define sales territories for franchisees
• Run targeted marketing campaigns.

Premium geodemographics data for Asia and MENA includes the latest estimates (updated annually) on:

1. Population (how many people live in your local catchment)
2. Demographics (who lives within your local catchment)
3. Worker population (how many people work within your local catchment)
4. Consuming Class and Premium Consuming Class (who can can afford to buy goods & services beyond their basic needs and /or shop at premium retailers)
5. Retail Spending (Food & Beverage, Grocery, Apparel, Other). How much are consumers spending on retail goods and services by category.

Primary Use Cases for GapMaps Geodemographic Data:

1. Retail (eg. Fast Food/ QSR, Cafe, Fitness, Supermarket/Grocery)
2. Customer Profiling: get a detailed understanding of the demographic profile of your customers, where they work and their spending potential
3. Analyse your trade areas at a granular 150m x 150m grid levels using all the key metrics
4. Site Selection: Identify optimal locations for future expansion and benchmark performance across existing locations.
5. Target Marketing: Develop effective marketing strategies to acquire more customers.

6. Integrate GapMaps demographic data with your existing GIS or BI platform to generate powerful visualizations.

7. Commercial Real-Estate (Brokers, Developers, Investors, Single & Multi-tenant O/O)

8. Tenant Recruitment

9. Target Marketing

10. Market Potential / Gap Analysis

11. Marketing / Advertising (Billboards/OOH, Marketing Agencies, Indoor Screens)

12. Customer Profiling

13. Target Marketing

14. Market Share Analysis

Premium B2C Consumer Database - 269+ Million US Records

Supercharge your B2C marketing campaigns with comprehensive consumer database, featuring over 269 million verified US consumer records. Our 20+ year data expertise delivers higher quality and more extensive coverage than competitors.

Core Database Statistics

Consumer Records: Over 269 million

Email Addresses: Over 160 million (verified and deliverable)

Phone Numbers: Over 76 million (mobile and landline)

Mailing Addresses: Over 116,000,000 (NCOA processed)

Geographic Coverage: Complete US (all 50 states)

Compliance Status: CCPA compliant with consent management

Targeting Categories Available

Demographics: Age ranges, education levels, occupation types, household composition, marital status, presence of children, income brackets, and gender (where legally permitted)

Geographic: Nationwide, state-level, MSA (Metropolitan Service Area), zip code radius, city, county, and SCF range targeting options

Property & Dwelling: Home ownership status, estimated home value, years in residence, property type (single-family, condo, apartment), and dwelling characteristics

Financial Indicators: Income levels, investment activity, mortgage information, credit indicators, and wealth markers for premium audience targeting

Lifestyle & Interests: Purchase history, donation patterns, political preferences, health interests, recreational activities, and hobby-based targeting

Behavioral Data: Shopping preferences, brand affinities, online activity patterns, and purchase timing behaviors

Multi-Channel Campaign Applications

Deploy across all major marketing channels:

Email marketing and automation

Social media advertising

Search and display advertising (Google, YouTube)

Direct mail and print campaigns

Telemarketing and SMS campaigns

Programmatic advertising platforms

Data Quality & Sources

Our consumer data aggregates from multiple verified sources:

Public records and government databases

Opt-in subscription services and registrations

Purchase transaction data from retail partners

Survey participation and research studies

Online behavioral data (privacy compliant)

Technical Delivery Options

File Formats: CSV, Excel, JSON, XML formats available

Delivery Methods: Secure FTP, API integration, direct download

Processing: Real-time NCOA, email validation, phone verification

Custom Selections: 1,000+ selectable demographic and behavioral attributes

Minimum Orders: Flexible based on targeting complexity

Unique Value Propositions

Dual Spouse Targeting: Reach both household decision-makers for maximum impact

Cross-Platform Integration: Seamless deployment to major ad platforms

Real-Time Updates: Monthly data refreshes ensure maximum accuracy

Advanced Segmentation: Combine multiple targeting criteria for precision campaigns

Compliance Management: Built-in opt-out and suppression list management

Ideal Customer Profiles

E-commerce retailers seeking customer acquisition

Financial services companies targeting specific demographics

Healthcare organizations with compliant marketing needs

Automotive dealers and service providers

Home improvement and real estate professionals

Insurance companies and agents

Subscription services and SaaS providers

Performance Optimization Features

Lookalike Modeling: Create audiences similar to your best customers

Predictive Scoring: Identify high-value prospects using AI algorithms

Campaign Attribution: Track performance across multiple touchpoints

A/B Testing Support: Split audiences for campaign optimization

Suppression Management: Automatic opt-out and DNC compliance

Pricing & Volume Options

Flexible pricing structures accommodate businesses of all sizes:

Pay-per-record for small campaigns

Volume discounts for large deployments

Subscription models for ongoing campaigns

Custom enterprise pricing for high-volume users

Data Compliance & Privacy

VIA.tools maintains industry-leading compliance standards:

CCPA (California Consumer Privacy Act) compliant

CAN-SPAM Act adherence for email marketing

TCPA compliance for phone and SMS campaigns

Regular privacy audits and data governance reviews

Transparent opt-out and data deletion processes

Getting Started

Our data specialists work with you to:

1. Define your target audience criteria

2. Recommend optimal data selections

3. Provide sample data for testing

4. Configure delivery methods and formats

5. Implement ongoing campaign optimization

Why We Lead the Industry

With over two decades of data industry experience, we combine extensive database coverage with advanced targeting capabilities. Our commitment to data quality, compliance, and customer success has made us the preferred choice for businesses seeking superior B2C marketing performance.

Contact our team to discuss your specific targeting requirements and receive custom pricing for your marketing objectives.

Clothing Retail Market Outlook

The global clothing retail market size is projected to grow from $1.5 trillion in 2023 to reach approximately $2.3 trillion by 2032, exhibiting a compound annual growth rate (CAGR) of 4.8%. This growth is driven by several factors, including the rising disposable income, increasing fashion consciousness among consumers, and the rapid expansion of e-commerce platforms. The market size growth is a testament to the robust demand for apparel across various demographics and regions, with the market adapting to ever-changing consumer preferences and technological advancements.

One of the significant growth factors for the clothing retail market is the increasing disposable income among consumers, especially in emerging economies. As disposable income rises, consumers are more likely to spend on non-essential items, including fashionable clothing. This trend is further augmented by urbanization, where city dwellers have better access to retail outlets and are more exposed to fashion trends. Moreover, the growing middle class in countries like China and India has significantly boosted the demand for clothing, thereby contributing to the market's overall growth.

Another critical factor contributing to the market's growth is the increasing awareness and adoption of sustainable and ethical fashion. Consumers today are more conscientious about the environmental impact of their purchases and prefer brands that prioritize sustainability. This shift has prompted many retailers to adopt eco-friendly practices, such as using organic materials and ensuring fair labor practices. These initiatives not only attract environmentally conscious consumers but also help in building a brand's reputation, thereby driving sales and market growth.

The rapid expansion of e-commerce has also played a pivotal role in the growth of the clothing retail market. Online shopping offers convenience, a wider variety of choices, and competitive pricing, making it an attractive option for consumers. The integration of advanced technologies like artificial intelligence and augmented reality in online platforms has enhanced the shopping experience, allowing consumers to virtually try on clothes before making a purchase. This has significantly increased online sales, contributing to the overall growth of the clothing retail market.

The concept of Genderless Clothing is gaining traction in the clothing retail market, reflecting a shift in consumer attitudes towards more inclusive and diverse fashion choices. This trend is driven by a growing awareness and acceptance of gender fluidity, with consumers increasingly seeking clothing that transcends traditional gender norms. Retailers are responding by offering collections that are not confined to specific gender categories, allowing for greater freedom of expression. This movement towards gender-neutral fashion is not only appealing to younger, progressive consumers but also aligns with the broader trend of personalization and individuality in fashion. As a result, genderless clothing is becoming an integral part of the market's evolution, contributing to its growth and diversification.

Regionally, the Asia Pacific is expected to dominate the clothing retail market, driven by the growing middle-class population, increasing urbanization, and rising disposable incomes. North America and Europe are also significant players, with a well-established retail infrastructure and high consumer spending on fashion. However, regions like Latin America and the Middle East & Africa are also showing potential for growth, driven by improving economic conditions and a growing young population interested in fashion trends.

Product Type Analysis

The clothing retail market is segmented by product type into men's wear, women's wear, children's wear, sportswear, and others. Men's wear continues to be a substantial segment owing to the steady demand for formal and casual clothing. The rising trend of corporate culture and the increasing number of working professionals drive the demand for formal attire. Additionally, the casual wear segment for men is witnessing growth due to changing lifestyle trends and increased spending on leisure and sports activities.

Women's wear is another significant segment within the clothing retail market. This segment has traditionally dominated the market due to the wide variety of options and frequently changing fashi

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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.

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.

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

Graph and download economic data for All Employees: Retail Trade in Springfield, IL (MSA) (SMU17441004200000001SA) from Jan 1990 to May 2025 about Springfield, IL, retail trade, sales, retail, employment, and USA.

Market Size statistics on the Retail Trade industry in United States

Graph and download economic data for Unemployment Rate - Wholesale and Retail Trade, Private Wage and Salary Workers (LNU04032235) from Jan 2000 to Jun 2025 about wholesale, salaries, workers, retail trade, 16 years +, wages, sales, retail, household survey, private, unemployment, rate, and USA.

Key information about Georgia Retail Sales Growth

• Georgia Retail Sales grew 1.1 % YoY in Dec 2024, compared with a 6.8 % increase in the previous quarter.
• Georgia Retail Sales Growth YoY data is updated quarterly, available from Mar 2010 to Dec 2024, with an average growth rate of 14.6 %.
• The data reached an all-time high of 109.2 % in Dec 2012 and a record low of -14.5 % in Jun 2020.
• In the latest reports, Car Sales of Georgia recorded 3,400.0 units in Dec 2019, representing a drop of 3.4 %.

CEIC calculates quarterly Retail Sales: Excl. Motor Vehicles Growth from quarterly Retail Trade Turnover. The National Statistics Office of Georgia provides Retail Trade Turnover in local currency. Retail Sales: Excl. Motor Vehicles Growth prior to Q1 2018 is based on NACE Rev. 1.1.

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.

Knowing who your consumers are is essential for businesses, marketers, and researchers. This detailed demographic file offers an in-depth look at American consumers, packed with insights about personal details, household information, financial status, and lifestyle choices. Let's take a closer look at the data:

Personal Identifiers and Basic Demographics At the heart of this dataset are the key details that make up a consumer profile:

Unique IDs (PID, HHID) for individuals and households Full names (First, Middle, Last) and suffixes Gender and age Date of birth Complete location details (address, city, state, ZIP) These identifiers are critical for accurate marketing and form the base for deeper analysis.

Geospatial Intelligence This file goes beyond just listing addresses by including rich geospatial data like:

Latitude and longitude Census tract and block details Codes for Metropolitan Statistical Areas (MSA) and Core-Based Statistical Areas (CBSA) County size codes Geocoding accuracy This allows for precise geographic segmentation and localized marketing.

Housing and Property Data The dataset covers a lot of ground when it comes to housing, providing valuable insights for real estate professionals, lenders, and home service providers:

Homeownership status Dwelling type (single-family, multi-family, etc.) Property values (market, assessed, and appraised) Year built and square footage Room count, amenities like fireplaces or pools, and building quality This data is crucial for targeting homeowners with products and services like refinancing or home improvement offers.

Wealth and Financial Data For a deeper dive into consumer wealth, the file includes:

Estimated household income Wealth scores Credit card usage Mortgage info (loan amounts, rates, terms) Home equity estimates and investment property ownership These indicators are invaluable for financial services, luxury brands, and fundraising organizations looking to reach affluent individuals.

Lifestyle and Interests One of the most useful features of the dataset is its extensive lifestyle segmentation:

Hobbies and interests (e.g., gardening, travel, sports) Book preferences, magazine subscriptions Outdoor activities (camping, fishing, hunting) Pet ownership, tech usage, political views, and religious affiliations This data is perfect for crafting personalized marketing campaigns and developing products that align with specific consumer preferences.

Consumer Behavior and Purchase Habits The file also sheds light on how consumers behave and shop:

Online and catalog shopping preferences Gift-giving tendencies, presence of children, vehicle ownership Media consumption (TV, radio, internet) Retailers and e-commerce businesses will find this behavioral data especially useful for tailoring their outreach.

Demographic Clusters and Segmentation Pre-built segments like:

Household, neighborhood, family, and digital clusters Generational and lifestage groups make it easier to quickly target specific demographics, streamlining the process for market analysis and campaign planning.

Ethnicity and Language Preferences In today's multicultural market, knowing your audience's cultural background is key. The file includes:

Ethnicity codes and language preferences Flags for Hispanic/Spanish-speaking households This helps ensure culturally relevant and sensitive communication.

Education and Occupation Data The dataset also tracks education and career info:

Education level and occupation codes Home-based business indicators This data is essential for B2B marketers, recruitment agencies, and education-focused campaigns.

Digital and Social Media Habits With everyone online, digital behavior insights are a must:

Internet, TV, radio, and magazine usage Social media platform engagement (Facebook, Instagram, LinkedIn) Streaming subscriptions (Netflix, Hulu) This data helps marketers, app developers, and social media managers connect with their audience in the digital space.

Political and Charitable Tendencies For political campaigns or non-profits, this dataset offers:

Political affiliations and outlook Charitable donation history Volunteer activities These insights are perfect for cause-related marketing and targeted political outreach.

Neighborhood Characteristics By incorporating census data, the file provides a bigger picture of the consumer's environment:

Population density, racial composition, and age distribution Housing occupancy and ownership rates This offers important context for understanding the demographic landscape.

Predictive Consumer Indexes The dataset includes forward-looking indicators in categories like:

Fashion, automotive, and beauty products Health, home decor, pet products, sports, and travel These predictive insights help businesses anticipate consumer trends and needs.

Contact Information Finally, the file includes ke...

In late 2020, Hispanic and African American consumers each accounted for nearly a tenth all Amazon retail spending in the United States. Meanwhile, white consumers led the list, representing over ** percent of the e-commerce platform's consumer spending share.

According to the results of a survey conducted with U.S. consumers in May 2022, among the technologies used in the retail industry, consumers found tap-to-pay mobile apps to be the leading retail technology that had the highest impact on shopping experience, with ** percent of rating this technology positively. Online chatbots, on the other hand, was not received well by as many by consumers.

United States: Demographics Mentions in Company Filings of Retail & Wholesale Sector Companies (2017 - 2021)

According to a survey carried out in 2024 in the United States, some ** percent of baby boomers were shopping for groceries once a week. Among millennials, the share of those shopping weekly for groceries was lower, at ** percent. On the other hand, ** percent of millennials were shopping for groceries daily, while baby boomers were only ******percent. Find this and more survey data in our Consumer Insights tool. Filter by countless demographics, drill down to your own, hand-tailored target audience, and compare results across countries worldwide.

Graph and download economic data for All Employees: Retail Trade in College Station-Bryan, TX (MSA) (SMU48177804200000001) from Jan 1990 to May 2025 about College Station, retail trade, sales, retail, TX, employment, and USA.

In 2023, direct selling retail sales in the United States reached a total of approximately 36.7 billion U.S. dollars. This is a sales decrease of about six billion U.S. dollars compared to 2021.