Top 10 Business Intelligence Companies in 2025

• Embedded analytics continues to grow as businesses want insights inside daily workflows.

Business intelligence is growing faster than ever. Organisations now expect tools that not only show data but also explain it, predict trends, and help make real-time decisions. Artificial intelligence, natural language search, and cloud technology are shaping how companies use analytics. Let’s take a look at the top business intelligence companies that stand out due to strong platforms and the ability to support both small teams and large enterprises.

Microsoft

Microsoft continues to be one of the most widely used business intelligence platforms in 2025. Many organisations choose it because of its smooth connection with  , Azure, and Excel. Regular updates this year focused heavily on AI features such as Copilot-style assistants that help users ask questions in simple language and get visual answers instantly.

also improved its modeling tools, report-sharing options, and security features. As more companies move their data to Azure, Power BI becomes even more powerful due to scale and cloud performance.

Salesforce

has consistently maintained its leadership in visual analytics. The platform is known for beautiful dashboards and strong data exploration features. Salesforce’s Tableau introduced new conversational and AI-driven capabilities that allow users to type questions and see answers as charts, summaries, and explanations.

The tool also helps users understand complex data stories by automatically generating narratives that describe trends and patterns. Many businesses prefer Tableau for its ease of use and ability to quickly turn raw data into clear visuals.

Alteryx

Alteryx’s platform aims to free up time for data analysts so they can spend more time analyzing data (workers can spend up to 44 percent of the workday on wasteful activities). That is why the firm streamlines data cleaning and blending processes, making both optional. Meanwhile, the machine-learning-enabled interface allows for rigorous analysis, with collaboration-friendly tools for predictive and spatial modeling.

Google Looker

Google Looker continues to grow in popularity, especially among companies that use cloud data warehouses. Looker’s main strength is its model-driven approach, which ensures consistent definitions across all reports and dashboards.

This helps avoid confusion when teams work with the same data. Recent updates improved governance, developer tools, and deployment on Google Cloud. Looker is often chosen by organisations that want tight control over data models while enabling analytics inside apps, websites, or internal tools.

ThoughtSpot

ThoughtSpot focuses on search-based analytics that allow users to find answers by simply typing a question. In 2025, the company expanded this approach by introducing agentic analytics, in which AI agents automatically perform multi-step analyses. These agents can combine data, compare results, and generate insights without manual work. ThoughtSpot is designed for fast decision-making and is often used inside workflows where teams need quick insights rather than complex dashboards.

Sisense

Sisense’s analytics platform is designed for a range of companies, regardless of whether they take a code-first or no-code approach. The platform integrates with data warehouses such as Snowflake and Amazon Redshift to connect to all of a company’s data. Teams can then effortlessly create easy-to-read data visualizations and look ahead to future opportunities with machine learning and predictive analyses.

Domo

Domo stands out for offering a comprehensive business cloud that combines data storage, dashboards, workflows, and app-building tools. The company has gained recognition for advancing agentic AI, in which AI automates decision steps across business processes.

Domo received more attention this year as industries looked for ways to connect data directly to daily operations. The platform is often used for executive dashboards, team-level analytics, and large datasets that need real-time updates.

Oracle

Oracle continues to serve large enterprises that require strong governance, advanced modeling, and secure cloud integration. The platform links deeply with Oracle Cloud Infrastructure, making it suitable for companies already using Oracle applications.

Updates in 2025 brought more generative AI features, including mobile AI assistants that help users ask questions and receive insights on the go. Oracle Analytics is known for its reliability and its ability to handle massive datasets with complex reporting needs.

SAP SE

SAP SE focuses on combining planning, reporting, and analytics into a single platform. This is valuable for companies that need financial planning and performance tracking alongside regular dashboards.

The 2026 roadmap is expected to introduce additional generative AI features to assist with building planning scenarios, writing natural-language formulas, and creating summaries for presentations. Many large organisations continue to choose SAP Analytics Cloud because of its strong connection with SAP enterprise systems.

MicroStrategy

The open architecture of MicroStrategy’s business intelligence software enables a broad range of analytical projects. Companies can leverage the platform’s resources to design and deploy applications using their preferred high- and low-code methods. AI and machine learning also make it easy to develop workflows and to harness analytics to inform business decisions.

Final Thoughts

Business intelligence companies are driven by two major forces: artificial intelligence and embedded analytics. Tools explain and summarize data while delivering insights directly inside business processes.

Organisations now prefer platforms that combine visual analysis, strong data governance, and generative AI capabilities. Each of these companies offers the strongest solutions available in 2025, excelling in areas such as modelling, visualisation, search, and enterprise reporting.