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Top 42 Buyer Intent Data Providers SaaS Companies in May 2026

As of May 2026, there are 42 SaaS companies in Buyer Intent Data Providers. They have combined revenues of $491.4M and employ 4.5K people. They have raised $582.5M and serve 1.1K customers combined.

Buyer intent data providers specialize in collecting and analyzing information regarding potential customers' online behaviors to determine their readiness to purchase specific products or services. By capturing signals such as website visits, content engagement, and search queries, these providers equip businesses with the intelligence needed to identify prospects who are actively researching solutions similar to their offerings. The primary use cases for buyer intent data include optimizing marketing campaigns, enhancing sales strategies, and improving customer engagement by targeting accounts that exhibit purchase intent. Common features of these platforms often involve data analytics capabilities, integration with customer relationship management (CRM) systems, and real-time reporting on buyer behavior. Typical users of buyer intent data include sales personnel, marketing teams, and lead generation specialists who aim to foster more informed and timely interactions with potential clients.

Companies
42
Revenue
$491.4M
Funding
$582.5M
Employees
4.5K

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Top Buyer Intent Data Providers Companies

Showing 10 of 1 companies ranked by annual revenue.

1
6Sense

San Francisco, California, United States

a B2B predictive intelligence platform that helps sales and marketing teams identify potential customers who are in the market for their products or services

Revenue
$200M
Customers
-
Year founded
2013
Funding
$524M
Team size
1.6K
Growth
-

Inclusion Criteria

- The product must provide data on user engagement signals that indicate purchase intent - It should enable businesses to identify and prioritize prospects actively researching related products or services - The solution must offer integration capabilities with existing CRM or marketing toolsets - It should include analytics features for interpreting buyer behavior and trends - Not just providing demographic data; must also analyze behavioral data for actionable insights - It must support use cases for both B2B and B2C environments