Top 2,602 Business Intelligence Software SaaS Companies in July 2026
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.
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Provides digital transformation and IT services that include cloud, data, big data, business intelligence, applications, digital analytics, and innovative IT products
Holistics is a modern, self-service business intelligence (BI) and analytics platform that empowers data teams to define centralized business metrics and modeling logic—primarily via SQL—while enabling non-technical users to explore, build, and share reports and dashboards without needing to write any code .
Revenue
$5M
Customers
-
Year founded
2015
Funding
-
Team size
37
Growth
-
Inclusion Criteria
- 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
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