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Top 376 Location Intelligence Software SaaS Companies in May 2026

As of May 2026, there are 376 SaaS companies in Location Intelligence Software. They have combined revenues of $2.2B and employ 17.5K people. They have raised $1.5B and serve 195.2M customers combined.

Location Intelligence Software integrates geospatial data with business intelligence to enhance decision-making across various industries. This technology allows companies to visualize and analyze spatial data, enabling them to identify patterns, trends, and opportunities related to geographic locations. Common use cases include optimizing retail store placements, improving supply chain logistics, and conducting market analysis based on demographic information. The primary features of Location Intelligence Software typically include advanced mapping capabilities, data visualization tools, real-time data integration, and analytics that facilitate deeper insights into location-based trends. Users of this software often encompass roles in operations, marketing, logistics, and strategic planning, who leverage location insights to drive business strategies and improve overall efficiencies.

Companies
376
Revenue
$2.2B
Funding
$1.5B
Employees
17.5K

Filters

Sorting: Highest -> Lowest

Filters
Revenue
All<$1M$1M-$5M$5M-$10M$10M-$100M$100M+
Funding (Locked)Growth (Locked)Team-Size (Locked)

Top Location Intelligence Software Companies

Showing 10 of 1 companies ranked by annual revenue.

1
Placer

Santa Cruz, California, United States

Developer of human movement analytics designed for the retail industry. The company's platform generates insights into any physical place and provides actionable location-based insights into the audience and competition, offering retailers with instant access to location insights derived from the foot traffic of millions of consumers, delivering visibility into offline behavior.

Revenue
$100M
Customers
500
Year founded
2013
Funding
$141M
Team size
708
Growth
240.82%

Inclusion Criteria

- The software must integrate geospatial data with business intelligence to provide actionable insights. - It should offer mapping capabilities to visualize geographic information effectively. - The software must enable real-time data analysis to help organizations respond swiftly to changing conditions. - It should support data integration from various sources to enrich spatial analysis. - The primary target use cases must include optimizing operations, enhancing customer engagement, and improving strategic planning. - Not just a mapping tool; must also provide analytical features to interpret geographic data.