- Revenue
- $100M
- Customers
- -
- Year founded
- 2015
- Funding
- $251M
- Team size
- 453
- Growth
- -
Top 6,950 Other Analytics Software SaaS Companies in July 2026
As of July 2026, there are 6,950 SaaS companies in Other Analytics Software. They have combined revenues of $75.3B and employ 474.4K people. They have raised $84.8B and serve 6.6B customers combined.
Other Analytics Software encompasses a wide range of tools designed to analyze various types of data not covered by more mainstream analytics platforms. These tools often cater to specific niches or unique data types, enabling organizations to gain insights that may not be available through traditional analytics solutions. Use cases include performance tracking, advanced data modeling, and specialized market analysis, which are essential for data-driven decision-making across diverse sectors. Common features of Other Analytics Software may include custom reporting capabilities, unique data visualization tools, and integration with a variety of data sources. Workflows often involve data importing, processing, analysis, and visualization, allowing users to transform raw data into actionable insights tailored to their specific needs. Typical buyer personas include data analysts, marketing teams, and operations managers who seek specialized insights to inform strategic decisions.
Filters
Sorting: Highest -> Lowest
Top Other Analytics Software Companies
Showing 10 of 1,076 companies ranked by annual revenue.
- Revenue
- $100M
- Customers
- 1K
- Year founded
- 2016
- Funding
- $88M
- Team size
- 872
- Growth
- -
- Revenue
- $100M
- Customers
- 900
- Year founded
- 2011
- Funding
- $476M
- Team size
- 678
- Growth
- -
4
Enveyo
Provo, Utah, United States
Enveyo is the leading provider of logistics data management, visibility, and shipping optimization software, helping shippers and 3PLs move their logistics forward through data-driven technology. From shipment analytics and automated carrier selection to post-purchase delivery experience management and carrier auditing, Enveyo is the only suite deploying solutions across the logistics lifecycle. Powered by a robust, enterprise data management platform, Enveyo Insights, Modeling, Cloudroute, Alerting, and Audit solutions enable organizations to make business-transforming shipping decisions. To learn more about how Enveyo moves logistics forward, visit enveyo.com.
- Revenue
- $100M
- Customers
- -
- Year founded
- -
- Funding
- -
- Team size
- 25
- Growth
- -
- Revenue
- $100M
- Customers
- 80
- Year founded
- 2013
- Funding
- $125.8M
- Team size
- 292
- Growth
- -
- Revenue
- $100M
- Customers
- 1K
- Year founded
- 2010
- Funding
- $114.8M
- Team size
- 373
- Growth
- -
7
Patsnap (UK) Ltd.
London, England, United Kingdom
Patsnap Eureka uses AI that goes beyond simple keyword matching to deliver search results. Validate your ideas and identify potential roadblocks before you invest time and resources. Regardless of your expertise, our collaborative tool makes it easy for teams to work together seamlessly.
- Revenue
- $100M
- Customers
- -
- Year founded
- -
- Funding
- -
- Team size
- 510
- Growth
- -
- Revenue
- $100M
- Customers
- 180K
- Year founded
- 2011
- Funding
- $147.9M
- Team size
- 315
- Growth
- -
9
Nanonets
San Francisco, United States
Nanonets leverages advanced OCR and Deep Learning technology to efficiently extract relevant information from unstructured text and documents. It enables the digitization of documents, extraction of specific data fields, and facilitates integration with everyday applications through APIs, all within a simple and intuitive interface. This technology significantly streamlines manual processes by automating tasks such as invoice, receipt, and document reviews. It notably reduces processing time by up to 90% and can save up to 50% on costs.
- Revenue
- $100M
- Customers
- -
- Year founded
- 2017
- Funding
- -
- Team size
- 101
- Growth
- 150%
10
SambaNova Systems
Palo Alto, California, United States
SambaNova is the leading Enterprise AI company that delivers a full-stack infrastructure from silicon to software, specializing in machine learning and big data analytics platforms.
- Revenue
- $100M
- Customers
- -
- Year founded
- 2017
- Funding
- $982M
- Team size
- 417
- Growth
- -
Inclusion Criteria
- The software must facilitate advanced data analysis functionalities. - It should provide unique reporting and visualization capabilities that are not typically found in mainstream analytics tools. - The product must support integration with a variety of data sources, including specialized databases. - It should cater to specific industries or use cases that require niche analytical features. - Not just data visualization; it must also include tools for data processing and modeling. - The software should be user-friendly for non-technical users while still offering advanced features for data experts.