Location Intelligence in the Food Industry: Mapping Market Gaps with Data

The food industry is evolving at a breakthrough pace in the USA, and it’s no wonder that when it comes to market value, the top three global food and drink services companies are U.S.-based. However, competition is fierce. 700,000 listed restaurants, 305,000 supermarket outlets, 42,700 food & beverage processing establishments, and more are competing against each other. This is why ghost kitchens are popping up in hyperlocal zones, dine-in chains are expanding rapidly across suburbs, and food businesses are constantly on the lookout for their next high-performing location. Data is undoubtedly the new compass, and location intelligence is the new business strategy. We, at Foodspark, have analyzed data from over 45,000 U.S. locations using geospatial analytics and web scraping, with the aim of helping food businesses identify market gaps, target high-demand ZIP codes, and enter the market with smarter strategies. We scraped and analyzed over 5 million data points across four key food industry segments in the USA, which include QSR, food manufacturing, food retail, and food service, covering 880+ cities and 25500+ ZIP codes. We used our web scraping expertise to highlight how data-backed location intelligence is transforming the way food industries in the USA grow, scale, and serve. From identifying low-competition zones to mapping market gaps at the regional level, we break down the insights and the impact.

How We Used Location Intelligence to Decode the U.S. Food Landscape

Location intelligence is the use of geospatial data, collected via GPS, mobile devices, public databases, and scraping online platforms, to guide strategic decision-making. With over 1 million restaurants and food service outlets across the U.S., understanding where to play and how to win can be all the difference between seeing more customer footfall or empty spaces. We scraped food delivery platforms and review aggregators, merged this with census data to incorporate income, population density, and urban-rural classification to track customer sentiment using review analysis, and pulled ordering trends from delivery apps to measure the popularity of menu types per location. All data was collected using ethical scraping practices and parsing frameworks that ensure platform compatibility. This rigorous research and analytics helped us:

• Identify locations and ZIP codes with high footfall and low competition
• Track competitor growth across regions
• Pinpoint customer sentiment clusters by location
• Analyze menu offerings with hyperlocal taste preferences

Role of Location Intelligence in Transforming The Food Industry

The food business has evolved. What began as neighborhood diners and corner stores has evolved into a vast, interconnected food ecosystem spanning QSRs, cloud kitchens, grocery giants, delivery-first brands, and advanced manufacturing units, all powered by digital platforms, consumer data, and location intelligence. Each of these food businesses is different, and so are the location needs. Here’s how different food business models could benefit from location intelligence:

• Quick Service Restaurants (QSRs) can optimize expansion by identifying underserved suburbs or high-delivery-density zones.
• Ghost Kitchens / delivery-only brands will be able to accurately locate areas with high delivery app demand but no physical competitors.
• Grocery and specialty stores can tweak their product mix with ZIP-code-level income and diet preferences (e.g., vegan-heavy, keto-friendly, ethnic foods).
• Food Trucks and pop-ups can select events, campuses, or city blocks based on the mobile traffic and event calendars scraped from local sources.
• Dine-In chains will be capable of choosing new city areas for launch by evaluating demographic shifts, income data, and competitor presence.
• Cafés & beverage chains will be able to target lifestyle-driven neighborhoods (e.g., college towns, arts districts) by scraping social media check-ins and proximity to co-working hubs or gyms.
• Packaged food manufacturers can identify local stores and warehouse hubs. They can even explore direct-to-consumer potential by analyzing SKU popularity and competitor saturation across cities.
• B2B Ingredient & Supply Distributors will be able to locate under-supplied industrial clusters or new restaurant hubs with growing food service demand and limited supplier coverage.

Insights from Scraped Data Revealing Gaps in the U.S. Food Industry

93% of U.S. residents have access to at least one major digital delivery service. This means the United States of America is connected digitally, and the power of technology can be used to access location intelligence across diverse food industries.

1. Food Manufacturing

Our analysis of scraped data from food manufacturing facilities in the USA reveals where demand is rising, competition is low, and infrastructure supports scale.

a. California has the most food manufacturing plants

California ranks number 1 in food processing output in the USA, and has 6,000+ food manufacturing units. Though this is good news, the analytics indicate saturation!. And you don’t want to enter markets with such high-concentration zones. Our suggestion is to avoid oversaturated zones like California or locate suppliers nearby for efficient sourcing; target lower-density states with growing food demand for new facilities.

b. Ohio is the Best Location For Food Processing

Alternatively, Ohio, which ranks close to California in our analysis, can be an excellent place to start your plant, as it leads in frozen food processing. It can be a good place to start your food processing business, as it is an ideal zone for co-location with suppliers and transport infrastructure. Our scraped data analysis suggests readers consider targeting Ohia and adjacent ZIP codes like Indiana with rising demand but fewer facilities for new processing sites or partnerships.

2. Food Retail (Supermarkets & Grocery)

As of mid-2025, the U.S. has approx. 66000 supermarkets and grocery stores, and competing with these sixty thousand odd supermarkets needs more than good marketing, quality products, and competitive prices. Let’s have a look at what our analytics say.

California leads in the supermarket space.

California leads with approx. 5000 stores, followed by Brooklyn and Houston. Though California is saturated, there is tremendous opportunity, as California has a large and diverse population and shows strong demand for fresh produce. Certain areas of the Central Valley, like Bakersfield, Fresno, Modesto, and the Inland Empire, can be hotspots for starting supermarket chains. New entrants in the food industry can utilize such density maps to locate underserved urban or suburban ZIP codes in populous states.

3. Food Service (Restaurants)

The restaurant business has seen a lot of changes over the years. Today, they rely heavily on consumer preferences, digital ordering platforms, and delivering experiential dining. Here’s a look at how they fare in our analysis.

a. Hawaii leads in restaurant density

In our data analysis, Hawaii leads the list of states with the maximum density of restaurants, followed by New York, California, and Rhode Island. You can use these insights to spot overcrowded areas versus high-opportunity zip regions.

b. 150+ Restaurants per ZIP in NYC and LA

Cities like New York and LA have over 150+ restaurants per ZIP code. What this means for new businesses is that instead of fighting for space in overpopulated areas, focusing on cuisine-specific white spaces would be more beneficial. The next best options are California, Texas, and New York, which have lower density and better chances of a restaurant working because of favorable demographics, strong consumer spending, and underserved neighborhoods with limited dine-in options.

c. Connecticut has a gap (undersupply) in French cuisine restaurants

According to data scraped from digital platforms, Connecticut could be an opportunity because of the “untapped French cuisine market”. Our analysis shows that there is an undersupply of French restaurants in the state, which translates to opportunities for new French restaurants to enter the market and cater to a potentially underserved audience. Instead of entering overcrowded markets, food businesses can focus on cuisine-specific white spaces like this, where demand is high but competition is low.

d. West Coast prefers organic food

Organic, locally sourced, and health-centric food is a rage in the West Coast areas like San Francisco, Portland, and Los Angeles. Meanwhile, on the other hand, data from Southern regions like Atlanta, Dallas, and Nashville shows a consistent interest in traditional comfort foods. While the West Coast is a goldmine of opportunity for DTC health food brands, organic cafés, plant-based QSRs, and grocery delivery services to launch or expand menus with organic, locally-sourced, or plant-based options, the southern USA is the best place for investment for ghost kitchens, food trucks, or family-style dining concepts that offer homestyle flavors with modern convenience.

e. College towns and downtowns show high footfall

Using mobile GPS footfall heatmaps, we found college towns and downtown commercial zones with poor availability of low-calorie or meal-prep-style food despite high lunch-hour footfall. There lies a tremendous business opportunity for new entrants where they can launch fast-casual or grab-and-go concepts with health branding in such localities. On the other side, several residential zones had more than 20,000 monthly delivery orders but zero dine-in facilities. These areas represent perfect opportunities for ghost kitchens or food trucks.

f. Pacific Northwest prefers plant-based food

The data scraped provided location intelligence about the taste preferences of the U.S population. Data analytics showed that the Southern ZIPs show a 35% higher preference for spicy food, while there is 55% more interest in plant-based meals in the Pacific Northwest. Additionally, menus that aligned with regional tastes saw better reviews and higher repeat orders.

4. Food Distribution & Cold Chain Logistics

The U.S. cold chain logistics market reached $76.45 billion in 2023 and is projected to grow at a 6.2% CAGR through 2033. As of late 2023, there were approximately 3 billion usable cubic feet of cold storage capacity in the USA.

Texas: The Next Cold Chain Hub

Our analysis shows that many rural and suburban ZIP codes brought us to the conclusion that Texas and Florida are fast-growing suburban belts with limited cold storage, and still lack access to modern cold chain infrastructure despite growing demand for fresh and frozen foods. These could become high-impact logistics hubs for new entrants, support perishables distribution, and reduce spoilage.

5. Cloud Kitchens & Delivery-Only Brands

The U.S. cloud/ghost kitchen market is valued at $98.3 billion in 2025, and the USA leads the cloud-kitchen race and is closely followed by Canada and Mexico.

Independent Brands Control 65% Cloud Kitchen

Our analysis of the cloud kitchen digital platforms shows the penetration to be highest in metro zones such as New York City and San Francisco, where app-based ordering is rampant and independent virtual brands have more power over brands. Traditional restaurant brands can turn this into an opportunity by launching delivery-only sub-brands, using existing kitchens to cut costs and capture app-first audiences.

Top Use Cases of Location Intelligence for Food Brands ●     Store Expansion Planning – Use data to rank potential ZIP codes by ROI potential ●     Ghost Kitchen Launch – Identify delivery-only zones ripe for entry ●     Menu Personalization by Region – Align ingredients and dishes with local demand ●     Regional Pricing Strategy – Adjust pricing to match neighborhood affordability level ●     Competitive Benchmarking – Track how many similar outlets exist per cuisine, per ZIP code ●     Case in Point: Launching a Vegan Brand in a Midwestern City

6. Food Trucks & Pop-Ups

Food trucks and pop-ups started as niche, low-investment ventures catering to local crowds, and now they’ve evolved into mainstream dining formats, offering gourmet experiences, testing grounds for new concepts, and even brand-building platforms for future brick-and-mortar restaurants.

California leads with 750+ food trucks.

Food trucks have been an instant hit among time-hard customers, and California leads this market, followed by Texas and Florida. Our analytics show that the Southern parts of the USA capture approximately. 38% of revenue share. The top-performing cities according to statistics derived from scraping data are Los Angeles, NYC, and Portland. These are areas where food truck businesses can flourish due to low regulatory barriers and growth-friendly policies. Foot traffic data shows that event-heavy areas (e.g., college towns, urban parks) have spikes in demand but low fixed food infrastructure.

7. Shared Kitchens Power 45–62% of Food Startups

Shared and co-manufacturing kitchen models comprise ~45–62% of cloud kitchen revenue in cities like Los Angeles and New York, supported by affordable industrial zones near these metro edges. Affordable industrial real estate near urban fringes is being repurposed into shared kitchens and co-manufacturing facilities.

Winning Markets Start with Data-Led Location Intelligence

Gone are the days when “location” meant just visibility. Today, it means data-backed visibility, delivery compatibility, pricing fit, and customer sentiment insights. It’s no longer about just being present; it’s about being precisely positioned. Our analysis of data scraped from the digital platforms of the food industry reveals one consistent insight, markets with high demand and low saturation are the true growth zones. States like Ohio, Texas, and regions in the Midwest and South of the USA offer high ROI potential, while ZIP-level intelligence unlocks hyperlocal opportunities. Every food business decision today can be improved by location intelligence, be it what you serve, where you launch, or how you grow. At FoodSpark, we power food industry decisions with 99% data accuracy. With 790+ satisfied clients, crawling over 2,490 million web pages every month, and 150% growth in our restaurant data services, we’ve proven that data is not just power, it’s direction. Backed by a dedicated team of 190+ experts, we help brands uncover market gaps, identify expansion-ready zones, and execute smarter, faster, and with confidence. Connect with our team to add location intelligence to your business strategy.