- Revenue
- $10M
- Year founded
- 2005
- Funding
- $25.6M
- Team size
- 158
Top 50 Analytics Platforms Companies With $5M–$10M Revenue (August 2026)
As of August 2026, Latka tracks 357 analytics platforms companies with $5M–$10M in annual revenue. They have combined revenues of $2.5B and employ 20.7K people. They have raised $2.1B and serve 106.3M customers combined.
Every company below sells analytics platforms to other businesses and is ranked by its most recent annual revenue. Revenue, funding, headcount and customer figures come from CEO interviews on the Latka podcast, public company filings, and Latka estimates where a company has not disclosed a number.
What Analytics Platforms Companies do
Analytics Platforms are software solutions designed to collect, manage, and analyze data to enable informed decision-making across organizations. These platforms facilitate the processing of large volumes of data, offering tools for data visualization, predictive analytics, and reporting. The primary use cases include business intelligence, performance tracking, and data-driven insights to support strategic initiatives. Typical features of Analytics Platforms include advanced analytics capabilities, data integration from various sources, self-service analytics tools, and interactive dashboards. Users can range from data analysts and business intelligence professionals to executives and operational teams, making it an essential tool for various departments such as marketing, finance, and operations. By enabling organizations to harness data effectively, these platforms play a crucial role in ensuring competitive advantage in today's data-centric environment.
- Companies
- 357
- Revenue
- $2.5B
- Funding
- $2.1B
- Employees
- 20.7K
Filters
Sorting: Highest -> Lowest
Top Analytics Platforms Companies With $5M–$10M Revenue
Showing 10 of 357 companies ranked by annual revenue.
Grand Junction, Colorado, United States
Provider of geospatial intelligence software. The company's software streamlines operations, monitors workflows and measures productivity, enabling users to get easier, faster and more precise management lifecycle.
- Revenue
- $10M
- Year founded
- 2014
- Funding
- $6.8M
- Team size
- 33
Luxembourg
Next Gate Tech, a Luxembourg-based FundTech, provides SaaS solutions for asset management with machine learning, data analytics, and cloud-based automation.
- Revenue
- $10M
- Year founded
- 2019
- Team size
- 44
Riyadh, Saudi Arabia
Developer of a Saas-based social media analytics and monitoring software intended to help businesses make better strategic decisions. The company's software uses big spatial data search engine to analyze both current and historical social media content in real-time using the contents published on the different social media channels, enabling businesses to filter results, analyze influential users, sites and content to understand consumers' feedback and expand its reach to target customers.
- Revenue
- $10M
- Year founded
- 2015
- Funding
- $1.4M
- Team size
- 179
Rio De Janeiro, Rio de Janeiro, Brazil
Provider of data and operational analytics platform. The company's platform enables the analysis of operational data (Big Data) in real time, providing visibility about customer's operations, which helps in decision making.
- Revenue
- $10M
- Year founded
- 2008
- Funding
- $9.7M
- Team size
- 21
United States
We are a SaaS company that has helped more than 1000+ enterprise-level companies efficiently manage large workforces since our launch in 2013. Our cloud-based system comes in 26 different languages and provides an all-in-one solution that utilizes state-of-the-art technology, with modules for CRM, ATS, Staffing, Recruitment, and Business Intelligence - challenging the status quo and establishing a new industry standard. To highlight some of our features, we offer effective pipeline management, effortless recruitment processes by providing an intuitive overview of the applicants and easy sharing of candidate profiles to internal and external stakeholders. We ensure accurate time logging for consultants via the RecMan Employee App and provide key business insights to drive profitability via the Business Intelligence module. And by the way, when we say all-in-one - we truly mean it. Our integrations allow you to post job ads on 30+ different job portals simultaneously, handle your calendar and email directly in the system, and send invoices to your customers while syncing data to Fortnox, Visma, or whichever system you are using. Click the link below to learn more about how we can help you elevate your business: https://www.recman.io/
- Revenue
- $9.9M
- Year founded
- 2013
- Team size
- 90
Palo Alto, California, United States
Neptune is the most scalable experiment tracker for teams that train foundation models. Monitor and visualize months-long model training with multiple steps and branches. Track massive amounts of data, but filter and search through it quickly. Visualize and compare thousands of metrics in seconds. And deploy Neptune on your infra from day one. Get to the next big AI breakthrough faster, using fewer resources on the way.
- Revenue
- $9.9M
- Year founded
- 2017
- Team size
- 90
Palo Alto, California, United States
Revuze is a leader in Generative AI analysis for online reviews, revolutionizing the consumer insights landscape. With years of experience leveraging LLM training, Revuze unlocks the full potential of insights from verified buyers across multiple e-commerce sources. Our cutting-edge solutions empower businesses to seamlessly integrate review analytics into their marketing and product processes, enabling strategic decision-making. Through high-quality data, insightful predictions, and scalable capabilities across sources and regions, we offer real-time analysis with intuitive features, dynamic dashboards, and comprehensive reports. From data collection to final visualization, Revuze’s end-to-end solutions ensure you can navigate the rapidly changing landscape of your categories and confidently make daily data-driven decisions. Discover the power of Revuze, the GPT of the consumer insights industry, and gain a deeper understanding of your customers and competitors.
- Revenue
- $9.9M
- Year founded
- 2013
- Team size
- 90
Denver, Colorado, United States
AirDNA is the leading provider of data and analytics for the short-term rental industry, empowering hosts, investors, and property managers with actionable insights.
- Revenue
- $9.9M
- Customers
- 6.5K
- Year founded
- 2015
- Team size
- 142
- Revenue
- $9.9M
- Year founded
- 2020
- Funding
- $25.5M
- Team size
- 54
Frequently asked questions about Analytics Platforms Companies With $5M–$10M Revenue
How many analytics platforms companies with $5M–$10M in annual revenue are there?
Latka tracks 357 analytics platforms companies with $5M–$10M in annual revenue. Together they generate $2.5B in annual revenue and employ 20.7K people.
Which analytics platforms company with $5M–$10M in annual revenue is the largest?
FUEL-CYCLE is the largest, with $10M in annual revenue, founded in 2005.
How much revenue does a typical analytics platforms company with $5M–$10M in annual revenue make?
The average analytics platforms company in this list makes $6.9M a year, across 357 companies with reported revenue. They serve 106.3M customers combined.
Who are the leading Analytics platforms vendors with $5M–$10M in annual revenue?
Ranked by annual revenue, the leaders are FUEL-CYCLE, ProStar Geocorp, Next Gate Tech, Lucidya and WebRadar.
How much funding have analytics platforms companies with $5M–$10M in annual revenue raised?
The 357 analytics platforms companies with $5M–$10M in annual revenue tracked here have raised $2.1B in disclosed funding between them.
Related Analytics Tools & Software categories
Inclusion Criteria
- Must provide tools for data collection and integration from multiple sources. - Must enable advanced analytical capabilities, including predictive and prescriptive analytics. - Should offer data visualization features such as dashboards and interactive reports. - Must support self-service analytics for non-technical users. - Not solely focused on descriptive reporting; must include predictive modeling and data exploration features.