10 Best Business Intelligence Companies in 2025

In 2025, business intelligence (BI) isn’t a nice-to-have—it’s the backbone of how teams make decisions, identify risks, and move quickly with confidence. From marketing and product to finance and operations, teams rely on BI tools to turn their raw data into clear answers they can act on right away.

But choosing the right platform isn’t just about dashboards or data connectors. It’s about finding a system that fits the way your team works, whether that means building custom workflows, exploring data without code, or sharing the most up-to-date insights across departments.

This guide breaks down what business intelligence really is, how it differs from analytics, and what to look for in a platform. Then we’ll spotlight the top BI companies making an impact in 2025 so you can find the right partner to help keep your team aligned, make data-driven decisions, and focus on what matters most.

What is a business intelligence company?

A business intelligence (BI) company builds tools that help teams understand and act on their data. These platforms gather information from different systems, such as CRMs, marketing tools, or financial databases, and turn it into dashboards, automated reports, and alerts that teams can use every day.

Unlike data warehouses, which focus on storing data, or analytics platforms built for data scientists, BI platforms are designed for people across the business to explore trends, track KPIs, and make informed decisions without writing code. Some platforms support real-time updates or predictive models, while others focus on reporting and visualizing core information.

At their best, BI tools don’t just answer questions; they’re how teams can ask more meaningful ones, uncover new opportunities, and move forward with shared understanding.

Business intelligence vs analytics

While both business intelligence and analytics are how teams make sense of their data, each method supports different kinds of decisions. As Harvard Business School explains, BI seeks to answer “what’s happening,” while analytics focuses on answering “why” it happened and “what’s next.”

BI platforms are built for everyday use. By looking at what’s happening right now, they give teams real-time visibility into critical metrics so sales can track pipeline health, marketers can adjust campaigns mid-flight, and product teams can spot usage trends as they happen. The focus is on immediate clarity and action, not technical depth.

Analytics, by contrast, is designed to ask and explore more penetrating questions. It often involves more complex tools and techniques like statistical modeling to understand underlying patterns or forecasting to predict what’s likely to happen next. These insights are powerful for long-term planning but typically require more time, expertise, and context.

Benefits of using business intelligence

Business intelligence platforms are how teams incorporate data into their daily decisions, without requiring a technical background or specialized role. Here are some of the most important ways BI supports work across departments.

See what’s happening in real time

Instead of working from static spreadsheets or end-of-month reports, teams get live dashboards that reflect what’s happening now. With real-time BI, sales teams can monitor pipeline changes throughout the day, ops leads can catch delivery slowdowns before they escalate, and finance can track actuals against forecasts, even as conditions shift.

Make data accessible across teams

Modern BI tools make it easier for anyone, from HR to product and sales, to find, explore, and act on data without writing code. With self-service BI, teams don’t have to wait for an analyst to get answers; they can dig into the data themselves.

Get help from AI and machine learning

Today’s BI platforms often include features powered by AI and ML. These tools can surface anomalies, forecast trends, or recommend next steps automatically. Knowing how AI and BI differ can help your team decide what capabilities will be most useful in day-to-day work.

Protect data without slowing down

Built-in security, governance, and access controls let teams share insights confidently without risking exposure or noncompliance. Whether you’re sharing dashboards with leadership or connecting data across tools, actionable data stays both useful and protected.

How to select the right BI platform

Choosing the right business intelligence platform isn’t just about checking off a list of features. It’s about finding a system that fits how your team solves problems, shares what it learns, and makes decisions every day.

Start with your team’s goals

Before you compare platforms, take a step back and define what success looks like. Are you trying to speed up reporting? Expand self-service access? Share insights with external partners? Different priorities will shape what you need from a platform, whether that’s automation, customization, or advanced analytics.

If your team is still aligning on goals, building a BI strategy can help clarify where to start.

Evaluate how well the platform supports your needs

Once your goals are clear, look at how each platform fits into the way your team actually works. That means focusing not just on capabilities, but on how usable, adaptable, and scalable the tool will be over time.

Consider evaluating BI platforms based on core functionality like data access, governance, and collaboration, as well as how well the solution supports automation and deployment flexibility. 

As you assess your options, consider questions like:

• Ease of use. Can non-technical teams explore and build with confidence?
• Scalability. Will it support more data, more teams, and more tools as you grow?
• Integration. Does it connect to the systems you already rely on?
• Security and governance. Are there clear controls for access, compliance, and auditability?
• Collaboration. Can teams easily share insights across departments or roles?

Consider proven success in real-world use

What types of teams and companies already use the platform? Look for success stories from organizations in your industry. Some platforms are ideal for small teams or specific use cases, while others, like enterprise BI platforms, are built to support complex, high-scale environments with multiple stakeholders.

‍

The right platform won’t just give you more data, it will be how your team actually moves its work forward.

Top 10 BI companies in 2025

With the criteria above in mind, these are the BI platforms making the biggest impact in 2025. Each one brings something different to the table—from advanced analytics to embedded experiences—but all are helping teams turn data into action. 

Whether you’re looking for a flexible tool to support everyday decisions or an enterprise-grade platform to unify data across departments, here are ten providers worth considering—and what makes each one stand out.

1. Domo

Domo is designed for teams looking for instant access to data and the ability to act on it without waiting for a technical handoff. Its cloud-native platform combines dashboards, alerts, self-service tools, and AI-powered automation in one place, so cross-functional teams can stay aligned on what’s happening now. With tools like App Studio, writeback capabilities, and thousands of data connectors, Domo scales easily across departments and client-facing teams.

For companies evaluating platforms like Power BI or Tableau, Domo offers a flexible way to bring insights into the flow of work without compromising on speed or usability. And when comparing visual analytics tools, Domo stands out next to Tableau by making it easier for non-technical teams to build, explore, and share data securely across the business.

2. Microsoft Power BI

Power BI is a strong option for teams already working within the Microsoft ecosystem. With built-in connections to Excel, Teams, Azure, and other Microsoft services, it allows teams to build reports and dashboards within tools they already know.

It supports both self-service and enterprise-scale deployments, though larger rollouts may require IT support. For teams focused on centralized reporting and cost efficiency, Power BI offers a familiar, flexible solution—especially when integrated into existing Microsoft 365 environments.

3. Tableau

Known for its visual storytelling capabilities, Tableau makes it easy to create polished dashboards with a drag-and-drop interface. Now part of Salesforce, it integrates more deeply with CRM data and offers AI-powered insights through Salesforce Einstein. 

Tableau is well-suited for analysts and data-savvy teams that want control over how data is modeled, formatted, and shared. While setup can involve more technical configuration, it’s a solid fit for companies that prioritize visual analytics and want to tie what they learn to customer-facing strategies.

4. Qlik

Qlik is known for its associative engine, which enables teams to explore relationships across data sets without relying on predefined queries. This makes it easier to uncover insights that might be missed in more structured environments. 

Qlik supports both cloud and on-premises deployments and is often used by those with complex data architectures. It offers strong governance tools and advanced features for data modeling, which makes it well-suited for IT-led implementations. For teams that want flexible deployment options and control over data structure, Qlik provides a strong framework—though it may be more technical than tools designed for self-service.

5. Google Looker

Looker is built around a modeling layer called LookML, which allows data teams to define relationships and metrics centrally. That structure creates consistency across dashboards so teams are working from the same definitions. 

Now part of Google Cloud, Looker integrates tightly with BigQuery and other Google services, making it a strong fit for organizations already operating in that ecosystem. While Looker is powerful for governed data experiences, it can require more technical resources to maintain. 

6. Oracle Analytics

Oracle Analytics Cloud is a good fit for those already using Oracle’s suite of enterprise tools. It offers built-in machine learning, predictive analytics, and natural language querying—features that help technical and non-technical teams alike explore large volumes of data. 

Its native integration with Oracle ERP and database systems makes it easier for finance, HR, and operations teams to work with the data they rely on every day. While it may be more complex to implement and manage than lighter BI solutions, Oracle Analytics provides a scalable option for teams that need to embed analytics into core business processes.

7. ThoughtSpot

ThoughtSpot focuses on making data searchable. With its natural language search interface, people can type questions the way they would in a search engine, making it easier for non-technical team members to find answers on their own. 

The platform also includes AI-driven recommendations and automated insights, which can help teams surface trends they might not have considered. For those seeking out a fast, approachable way to explore data without writing code, ThoughtSpot lowers the barrier to entry, though more complex analysis may still require support from data teams.

8. SAP Analytics Cloud

SAP Analytics Cloud is designed to support teams already embedded in the SAP ecosystem. It offers planning, reporting, and predictive analytics in one platform, with native connections to SAP ERP, HANA, and other enterprise systems. 

Teams in finance, supply chain, and operations often use this platform to align reporting with business planning and forecasting. While it can take time to configure for specific needs, it’s a solid choice for organizations that rely heavily on SAP infrastructure and want a BI tool that works well within that environment. For teams outside the SAP stack, however, the learning curve and integration effort may be higher.

9. Sisense

Sisense is a flexible BI platform that gives product and engineering teams more control over how analytics are delivered. It’s popular for embedded use cases—like adding dashboards directly into customer-facing applications—and for white-labeling analytics in SaaS products. 

The platform allows teams to build custom data experiences using APIs and developer tools, while also supporting drag-and-drop dashboard creation for business teams. Sisense is best suited for those who want to offer analytics as part of their product or service, and who have the technical resources to support more advanced customizations.

10. Zoho Analytics

Zoho Analytics offers an approachable BI platform for small and mid-sized teams. It includes prebuilt connectors, visualizations, and basic forecasting tools, with a focus on simplicity and speed to insight. 

For teams already using Zoho apps—like CRM, Projects, or Finance—it offers a consistent experience and quick integration. While it may not offer the depth or flexibility of larger enterprise platforms, Zoho Analytics is a practical option for teams that need to centralize reporting and explore data without a steep learning curve.

Choosing the right BI partner

Business intelligence tools make it easier for people to ask better questions, share data-driven answers, and move forward with confidence. Whether you want real-time visibility, better collaboration, or easier access to insights, the right BI tool should bring clarity to your work, not complexity.

Domo is built for exactly that. From self-service dashboards to powerful automation and AI, we bring everything together in one platform that’s designed to support how teams actually operate, not just how data is structured. 

Teams can explore data without writing code, build custom workflows without starting from scratch, and connect to thousands of sources without heavy IT lift. And because governance and security are built in from the start, they don’t come at the cost of speed or flexibility.

Ready to see what modern BI can look like in your business? Try Domo for free or contact our team to explore what’s possible.