Esri Market Potential

Esri U.S. Market Potential data provides details about the products and services consumers want and the civic attitudes they have. The database is based on survey data from MRI-Simmons and provides the expected number of consumers and a Market Potential Index (MPI) for thousands of items in the following categories:

  • Automobiles and Automotive Products
  • Baby Products, Toys and Games
  • Civic Activities and Political Affiliation
  • Clothing, Shoes and Accessories
  • Electronics and Internet
  • Financial and Insurance
  • Grocery and Alcoholic Beverages
  • Health and Personal Care
  • Home Improvement, Garden and Lawn
  • Household Goods, Furniture and Appliances
  • Leisure Activities and Lifestyle
  • Media - Magazines and Newspapers
  • Media - Radio and Other Audio
  • Media - TV Viewing
  • Pets and Pet Products
  • Phones and Yellow Pages
  • Psychographics and Advertising
  • Psychographics and Food
  • Psychographics and Lifestyle
  • Psychographics and Media
  • Psychographics and Shopping
  • Restaurants
  • Shopping
  • Sports
  • Travel

Vintage

Esri Market Potential data is available for:

  • 2022 (in 2020 Census geography).
  • 2021 (in 2010 Census geography).

Available geographies

See Available geographies.

Update frequency

Esri Market Potential data is updated annually.

Methodology

Esri uses the following methodology for Market Potential data:

Sample reports

The following sample Market Potential reports are available:

For more information about reports and the products that contain them, visit ArcGIS Apps.

For information about the number of credits needed to run reports, see Credits by capability.

Variable lists

Data availability

Esri's Market Potential data is available in various products including the following:

For information about purchasing Esri's Market Potential data as a stand-alone dataset, contact datasales@esri.com.

Tutorial

Learn how to use and interpret Market Potential data with the How to use and interpret Esri's US Market Potential data tutorial.