As of July 2026, there are 2,602 SaaS companies in Business Intelligence Software. They have combined revenues of $32.2B and employ 194.1K people. They have raised $34.4B and serve 1.5B customers combined.
Business Intelligence (BI) software encompasses a range of tools that facilitate the collection, analysis, and presentation of business data. These solutions empower organizations to make informed decisions by transforming raw data into actionable insights through visualizations, dashboards, and reporting functionalities. BI software is predominantly utilized for use cases such as data mining, performance benchmarking, predictive analytics, and trend analysis. Typical features of BI software include data visualization, self-service analytics, data warehousing, and reporting capabilities. These tools are designed for various user personas within an organization, including analysts, business executives, data scientists, and IT professionals, who seek to derive insights from data to support strategic planning and operational efficiency. Furthermore, intuitive interfaces often enable non-technical users to explore data without requiring deep analytical skills, enhancing broader organizational accessibility to data-driven decision-making.
Sorting: Highest -> Lowest
Showing 10 of 310 companies ranked by annual revenue.
Piscataway, New Jersey, United States
InetSoft Technology Corporation is a privately owned multinational computer software company that develops free and commercial web-based business intelligence applications.
Santa Catarina, Brazil
Disrupting retail execution with Involves Stage, the leading SaaS for retail execution monitoring and intelligence in Latin America.
Beaverton, Oregon, United States
Data analytics and AI experts, specializing in project controls, delivering transformative business intelligence to elevate your success journey
Westmont, Illinois, United States
Silvon provides Business Intelligence software that's exclusively oriented to provide operational-level visibility to manufacturers and distributors.
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.
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.
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.
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.
- Must provide data analysis and reporting functionalities - Should include data visualization tools for presenting insights - Must allow integration with various data sources, including databases and cloud services - Should support self-service capabilities for non-technical users - Must facilitate real-time data access and updates - Not just limited to reporting; must also enable advanced analytics features such as predictive modeling
Each Tuesday, we reverse-engineer a real SaaS company's revenue, profit, CAC, funnels, and its top growth tactic.
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