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Top 64 E-Commerce Search Software SaaS Companies in May 2026

As of May 2026, there are 64 SaaS companies in E-Commerce Search Software. They have combined revenues of $854.2M and employ 6.3K people. They have raised $1.2B and serve 10.9K customers combined.

E-Commerce Search Software is designed to enhance the online shopping experience by enabling consumers to quickly find products on e-commerce platforms. This category of software utilizes advanced algorithms and features such as autocomplete, filtering, and personalized search results to optimize the discovery of products, thereby driving sales and improving customer satisfaction. Typical workflows include integrating search functionality into a website, configuring search parameters, and analyzing search trends to refine product offerings. Commonly used by online retailers, marketing teams, and product managers, E-Commerce Search Software plays a critical role in managing how products are presented to consumers. Features often include natural language processing, faceted search, and analytics dashboards. This software ensures that users have a seamless and efficient way to navigate large catalogs and find exactly what they are looking for, which can lead to higher engagement rates and conversions.

Companies
64
Revenue
$854.2M
Funding
$1.2B
Employees
6.3K

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Top E-Commerce Search Software Companies

Showing 10 of 3 companies ranked by annual revenue.

1
Salesfire

Middlesbrough, Teesside, United Kingdom

Salesfire provides retailers with data-led, intelligent customer journey optimisation solutions that guide online shoppers through the buying funnel and retain them within the ecosystem. Leveraging customer insights, Salesfire empowers businesses to boost on-site engagement, personalise user experiences, and drive revenue growth. From first-party data collection to advanced analytics, Salesfire harnesses the power of AI to identify more shoppers, enhance retargeting and transform visitor data into sales. For more information, please visit www.salesfire.co.uk or reach out to one of our team at [email protected].

Revenue
$8M
Customers
-
Year founded
2017
Funding
-
Team size
73
Growth
-
2
Hello Retail

Copenhagen, Capital Region, Denmark

Advanced Personalization for ecommerce. With flexible, scalable, and AI-driven solutions, the company empowers businesses to deliver what customers want, when they want it, and sometimes, before they even know they want it. The platform offers the following optimization and personalization tools for ecommerce websites: Personalized Product Recommendations Smart Search Engine Personalized Brand and Category Pages Personalized Newsletter Content Triggered Emails A 360-degree overview of your Audience Powerful Analytics In 2023, Hello Retail introduced its groundbreaking proprietary technology, Product Intelligence (Pi), fueled by AI. Pi utilizes product-centric data to forecast shopping behaviors, providing merchants with a cookieless personalization solution. Serving as the cornerstone of the platform, Pi enhances personalization algorithms with Artificial Intelligence.  Based in Copenhagen, Hello Retail serves over 2500 webshops worldwide across various sectors, such as fashion, consumer electronics, toys, furniture, personal care, cosmetics, and more.

Revenue
$6.8M
Customers
-
Year founded
2009
Funding
-
Team size
62
Growth
-
3
Miros

London, United Kingdom

Miros is an AI-powered search and discovery solution tailored for e-commerce, particularly in visually-driven verticals like fashion and furniture. With Miros’ cutting-edge Discovery Bar, users can discover exciting products using rich, descriptive search terms - no tags or exact keywords needed. For those nuanced searches where words fall short, Wordless Search lets customers click and browse, as the AI continuously refines results in real-time. Cookieless, tagless, and language-agnostic, Miros offers seamless product discovery that drives higher engagement and boosts conversion rates.

Revenue
$6.1M
Customers
-
Year founded
2019
Funding
-
Team size
55
Growth
-

Inclusion Criteria

- Must provide functionality for real-time product search and filtering - Should support advanced features like autocomplete and synonym recognition - Must integrate with existing e-commerce platforms or frameworks - Should offer analytics to track search performance and user behavior - Not just a basic search tool; must also provide personalized or AI-driven search capabilities - Should allow for customization of search results based on user preferences - Must enhance user experience by reducing search time and improving accuracy