As of May 2026, there are 42 SaaS companies in Identity Resolution Software. They have combined revenues of $293.7M and employ 2.1K people. They have raised $146.4M and serve 74 customers combined.
Identity Resolution Software refers to tools designed to connect multiple data points about a single individual across various platforms, devices, and systems. This process helps organizations build unified customer profiles by consolidating information from disparate sources, enhancing the accuracy and effectiveness of marketing and customer engagement strategies. The primary use cases for identity resolution include personalizing marketing efforts, improving customer service, and analyzing customer behavior. Common features of such software involve data matching, onboarding, and enrichment capabilities that leverage both deterministic and probabilistic methods to verify identities and deliver insights about customer interactions. Typical users of identity resolution software range from marketing teams seeking to improve campaign effectiveness to customer service departments aiming for a better understanding of client needs. Data analysts and IT professionals also benefit, as they require robust solutions to ensure data governance and privacy compliance.
Sorting: Highest -> Lowest
Showing 10 of 8 companies ranked by annual revenue.
Bellevue, Washington, United States
Digital firm focused on domain names and related technologies that empower people to market and own authentic digital identities
Palm Beach Gardens, Florida, United States
Enables brands to have seamless interaction with consumers across their computers, smartphones, tablets, and connected TVs, which in turn gives them increased insight into online and offline consumer behavior
Singapore, Singapore
Eyeota is the global leader in audience data with over 3.5 billion unique profiles in Europe, APAC and the Americas
Toronto, Ontario, Canada
Kognitiv redefines loyalty by helping brands securely and efficiently activate their data to engage new audiences and existing customers to earn their lifetime loyalty. In June 2020, Kognitiv and Aimia Loyalty Solutions came together to create a technology-forward business, employing people across 20 countries worldwide. With 200+ clients and partners in more than 50 markets globally, Kognitiv brings to life a world where brands work together to create new opportunities for less, gain direct access to new audiences, and create network effects where everyone wins, all the time. Kognitiv is headquartered in Toronto, Ontario, Canada, with team members in Canada (Waterloo, Mississauga, and Kitchener), Argentina (La Plata), Australia (Melbourne and Sydney), Austria (Vienna), Hong Kong, India (Bengaluru and Pune), Japan (Tokyo), Malaysia (Kuala Lumpur), Singapore, UK (London, Manchester, and Bournemouth) and United States (Charlottesville, Minneapolis and Newark).
New York, New York, United States
Provider of a customer data platform intended to empower marketers to build complex customer segments. The company's platform offers an unique approach and offers brands to develop personalization capabilities without the need to build and maintain massive bespoke data infrastructure, enabling clients to run sophisticated life-cycle marketing campaigns and obtain new means to acquire customers.
Windermere, Florida, United States
Company that provides a Marketing Data Platform-as-a-Service to facilitate identity resolution, data sharing, universal tag management and advanced media analytics
London, England, United Kingdom
Provider of cloud based eCommerce digital monetization platform designed to identify, engage and monetize digital audiences. The company's monetization platform eSuite, converts and retains paid users for its clients, integrating identity management, customer relationship management and automated subscription billing, enabling media, video, sport and retail sectors to drive revenue from digital and physical products.
- The software must unify and connect customer data across multiple channels and touchpoints. - It must provide tools for data matching and deduplication to ensure a single view of the customer. - It should support both deterministic and probabilistic approaches to identity matching. - The solution must facilitate data onboarding and enrichment to enhance customer profiles. - It should be applicable for use in marketing, customer service, and analytics. - Not just a data aggregation tool; must also provide insights and actionable information on customer behavior.
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