
San Francisco, California, United States
a cloud-based data engineering, data science, and machine learning platform
- Revenue
- $3.7B
- Customers
- 10K
- Year founded
- 2013
- Funding
- $4B
- Team size
- 12.3K
- Growth
- 54.17%
As of May 2026, there are 6,950 SaaS companies in Other Analytics Software. They have combined revenues of $73.1B and employ 478.3K people. They have raised $72.6B 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.
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Showing 10 of 134 companies ranked by annual revenue.

San Francisco, California, United States
a cloud-based data engineering, data science, and machine learning platform

Munich, Bayern, Germany
process mining platform to help businesses analyze, visualize, and optimize their processes.

Montreal, Quebec, Canada
Hopper is a mobile app that leverages big data and machine learning to predict and analyze airfare

Mississauga, Ontario, Canada
software solutions for long-term and post-acute care (LTPAC) providers

San Francisco, California, United States
a platform to measure and analyze user engagement and marketing ROI

San Francisco, California, United States
The most powerful answer engine. Powering curiosity with answers backed by up-to-date sources. This is where knowledge begins.

Warsaw, Poland
RTB House is a global marketing technology company that provides retargeting and programmatic advertising solutions for online businesses. The company was founded in 2012 and is headquartered in Warsaw, Poland, with offices in more than 30 countries. RTB House's proprietary technology uses deep learning algorithms to analyze user behavior and predict their purchasing intent, enabling businesses to deliver personalized and relevant ads to potential customers. The company's solutions are available for desktop and mobile devices, and its customers include e-commerce companies, travel companies, and other online businesses across a variety of industries. With a focus on innovation and data-driven solutions, RTB House is helping businesses reach their target audiences more effectively and drive better results from their digital advertising efforts.

New York, New York, United States
Guidepoint is a research enablement platform designed to advance understanding and empower our clients’ decision-making process. Powered by innovative technology, real-time data, and hard-to-source expertise, we enable our clients to turn answers into action. Backed by a network of nearly 1.5 million experts, and Guidepoint’s 1,300 employees worldwide we inform leading organizations’ research by delivering on-demand intelligence and research on request. With Guidepoint, companies and investors can better navigate the abundance of information available today, making it both more useful and more powerful. For more information, visit www.guidepoint.com.

San Diego, California, United States
a sales and marketing enablement platform that helps businesses improve their sales productivity and effectiveness.
- 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.
Each Tuesday, we reverse-engineer a real SaaS company's revenue, profit, CAC, funnels, and its top growth tactic.
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