Business Intelligence Statistics

Table of contents

• The current business intelligence market signal
• The platform numbers that define the market
• How the main vendors compare
• What the customer and revenue data imply
• How to read the statistics as a buyer or analyst
• What the numbers do not say

The current business intelligence market signal

Business intelligence statistics are easiest to understand when they are grouped around a few signals: scale, adoption, monetization, and execution. The dataset here gives those signals from several major vendors, and the pattern is clear: BI is no longer a narrow reporting category, but a large platform market built around self-service analytics, cloud subscriptions, and enterprise deployment.

The most useful way to read these figures is to separate product usage from company performance. Some numbers describe subscribers, developers, customers, and organizations. Others describe revenue, retention, contract structure, and return on investment. Taken together, they show where the market has already matured and where vendors are still competing aggressively.

Fast facts at a glance

• Power BI had more than 5 million subscribers in March 2016 (Microsoft Power BI Blog).
• Power BI enabled self-service analytics and enterprise BI for more than 350,000 organizations by November 2024 (Microsoft Power BI pricing update).
• Power BI had more than 6.5 million developers by November 2024 (Microsoft Power BI pricing update).
• Power BI Pro was priced at $14.00 per user per month in 2024 (Microsoft Power BI pricing update).
• Power BI Premium Per User was priced at $24.00 per user per month in 2024 (Microsoft Power BI pricing update).
• Microsoft Fabric offered a 379% ROI in a Forrester Total Economic Impact study cited on the Power BI product page (Microsoft Power BI product page).
• Tableau Public had over 9 million visualizations by February 2024 (Salesforce Tableau story).
• Tableau Conference 2024 was a sold-out event with 8,000 attendees (Salesforce Tableau conference story).
• Domo had more than 2,600 organizations as customers as of January 31, 2024 (Domo 2024 Form 10-K).
• Informatica processed 110.7 trillion cloud transactions per month as of December 31, 2024 (Informatica 2024 Form 10-K).
• Qlik had 40,000 leading-edge customers on its customer stories page (Qlik customer stories page).

The platform numbers that define the market

Microsoft Power BI: scale, pricing, and reach

Power BI is the strongest scale signal in the dataset. More than 5 million subscribers were reported in March 2016 (Microsoft Power BI Blog), which is an early marker of broad adoption. By November 2024, Microsoft said Power BI enabled self-service analytics and enterprise BI for more than 350,000 organizations (Microsoft Power BI pricing update). That same update said Power BI had more than 6.5 million developers (Microsoft Power BI pricing update). Those two figures matter because they point to two different user bases: organizations that consume analytics and developers who build around the platform.

The pricing figures are also useful because they show how Microsoft positioned the product in 2024. Power BI Pro was priced at $14.00 per user per month (Microsoft Power BI pricing update), while Power BI Premium Per User was priced at $24.00 per user per month (Microsoft Power BI pricing update). That spread suggests a standard upgrade ladder rather than a single locked enterprise tier. For market observers, it also provides a concrete anchor for comparing BI software pricing against adoption scale.

One of the more striking statistics in the dataset is the 379% ROI attributed to Microsoft Fabric in a Forrester Total Economic Impact study cited on the Power BI product page (Microsoft Power BI product page). ROI claims in vendor materials should be treated as vendor-presented evidence, not universal market fact, but they still matter because they shape buying narratives. Here, the number sits next to the scale story: large user bases, broad organizational reach, and an economics argument built for enterprise decision-makers.

Microsoft also highlighted its position in the June 2024 Gartner Magic Quadrant for Analytics and Business Intelligence Platforms, saying it was positioned highest for Ability to Execute and furthest for Completeness of Vision (Microsoft Power BI product page). That kind of positioning is not a usage metric, but it is part of how vendors frame leadership in the market.

Tableau: audience size and event demand

Tableau gives the dataset another perspective on BI maturity. Tableau Public had over 9 million visualizations by February 2024 (Salesforce Tableau story), which is a strong signal of public-facing analytic activity. That number is especially useful because visualizations are visible artifacts of user engagement rather than just account counts.

The event data reinforces the same idea. Tableau Conference 2024 was a sold-out event with 8,000 attendees (Salesforce Tableau conference story). A sold-out conference of that size suggests an active community, continuing professional interest, and enough ecosystem depth to fill a major in-person event. For BI buyers and analysts, conference attendance often serves as a proxy for community health and product momentum.

Tableau was also named a Leader in the 2024 Gartner Magic Quadrant for Analytics and Business Intelligence Platforms, its 12th time as a Leader (Salesforce Tableau Gartner story). That repeated leadership designation is useful context when comparing perceived market standing across vendors. The same source also noted that Tableau Desktop Public Edition was offered for free in 2024 (Salesforce Tableau Gartner story), which matters because free tooling can expand the user funnel and support community learning.

How the main vendors compare

A compact comparison of the strongest vendor-level figures makes the market shape easier to read.

Vendor	Key statistic	Value	Source label
Microsoft Power BI	Organizations enabled	More than 350,000	Microsoft Power BI pricing update
Microsoft Power BI	Developers	More than 6.5 million	Microsoft Power BI pricing update
Microsoft Power BI	Pro price	$14.00 per user per month	Microsoft Power BI pricing update
Microsoft Power BI	Premium Per User price	$24.00 per user per month	Microsoft Power BI pricing update
Tableau	Public visualizations	Over 9 million	Salesforce Tableau story
Tableau	Conference attendance	8,000	Salesforce Tableau conference story
Domo	Customers	More than 2,600 organizations	Domo 2024 Form 10-K
Informatica	Cloud transactions per month	110.7 trillion	Informatica 2024 Form 10-K
Qlik	Leading-edge customers	40,000	Qlik customer stories page

The table does not imply a direct apples-to-apples ranking. Each vendor reports different kinds of metrics, and those metrics describe different parts of the market. Microsoft emphasizes users, organizations, and pricing. Tableau emphasizes public visualizations, events, and leadership status. Domo emphasizes customers, revenue, and retention. Informatica emphasizes customer breadth and transaction volume. Qlik emphasizes customer stories and predictive-AI activity.

That mix is important because BI is not just one product category. It is a set of overlapping business models that include self-service analytics, data management, cloud subscriptions, and AI-assisted decision workflows. The strongest statistics in the dataset reflect that diversity.

What the customer and revenue data imply

Domo: customer base and financial discipline

Domo’s numbers are especially helpful for understanding how a BI vendor communicates business health. As of January 31, 2024, Domo had more than 2,600 organizations as customers (Domo 2024 Form 10-K). For fiscal 2024, total revenue was $319.0 million (Domo 2024 Form 10-K), and revenue grew 3% year over year (Domo 2024 Form 10-K). Net loss narrowed to $75.6 million in fiscal 2024 (Domo 2024 Form 10-K). Those figures point to a company still balancing growth and cost control rather than one in a hypergrowth phase.

Retention and contract structure tell an additional story. Domo’s ARR net retention rate averaged 96% in fiscal 2024 (Domo 2024 Form 10-K), and 91% in Q4 fiscal 2024 (Domo 2024 Form 10-K). The company also said 66% of customers were under multi-year contracts on a dollar-weighted basis as of January 31, 2024 (Domo 2024 Form 10-K). That is a meaningful signal of commercial stickiness.

Revenue mix is another useful lens. Domo’s 2024 revenue mix was 90% subscription revenue and 10% professional services and other revenue (Domo 2024 Form 10-K). Its subscription revenue in fiscal 2024 was $285.5 million (Domo 2024 Form 10-K). That profile suggests a software-heavy model where recurring revenue is the core engine. The dataset also says Domo derived 79% of fiscal 2024 revenue from U.S. customers (Domo 2024 Form 10-K), which matters if you are evaluating geographic concentration.

Domo in year-over-year context

The later filing adds another useful comparison. Domo’s enterprise customers accounted for 52% of revenue in fiscal 2023, 49% in fiscal 2024, and 46% in fiscal 2025 (Domo 2025 Form 10-K). That trend shows a slow decline in enterprise concentration across those fiscal years, even as the business remained centered on recurring customer relationships. Domo’s ARR net retention rate averaged 89% in fiscal 2025 (Domo 2025 Form 10-K), and the company had 69% of customers under multi-year contracts on a dollar-weighted basis as of January 31, 2025 (Domo 2025 Form 10-K). Domo also had more than 2,600 customers as of January 31, 2025 (Domo 2025 Form 10-K).

The revenue and retention sequence gives a practical lesson: customer count alone does not explain company quality. A BI platform can grow customers, manage contracts, and still face uneven retention or slow revenue expansion. The combination matters more than any single metric.

Informatica: breadth, scale, and heavy throughput

Informatica’s statistics point to an enterprise infrastructure story. The company had over 5,100 active customers as of December 31, 2024 (Informatica 2024 Form 10-K). It operated in approximately 100 countries and territories as of the same date (Informatica 2024 Form 10-K). It served 8 of the Fortune 10 (Informatica 2024 Form 10-K), over 80 of the Fortune 100 (Informatica 2024 Form 10-K), and over 800 of the Global 2000 (Informatica 2024 Form 10-K). Those are the kinds of figures that signal deep enterprise penetration.

The transaction volume is the most visually memorable number in the dataset. Informatica processed 110.7 trillion cloud transactions per month as of December 31, 2024 (Informatica 2024 Form 10-K). That scale suggests a platform operating as a backbone for cloud data movement and processing rather than a lightweight dashboard product. The company also reported 2,468 total cloud subscription ARR customers as of December 31, 2024 (Informatica 2024 Form 10-K), 2,110 customers spending more than $100,000 in subscription ARR (Informatica 2024 Form 10-K), and 284 customers spending more than $1 million in subscription ARR (Informatica 2024 Form 10-K). That distribution indicates a strong enterprise revenue mix.

Financially, Informatica’s total ARR reached $1.73 billion in full-year 2024 (Informatica Q4/FY2024 results), and total revenues reached $1.64 billion in full-year 2024 (Informatica Q4/FY2024 results). Its cloud subscription ARR was $827.3 million as of December 31, 2024 (Informatica 2024 Form 10-K), and that cloud subscription ARR grew 34% year over year in 2024 (Informatica 2024 Form 10-K). The company also said cloud subscription ARR customers increased 8% year over year in 2024 (Informatica 2024 Form 10-K). That pairing of ARR growth and customer growth is a classic sign of enterprise platform expansion.

Qlik: customer evidence and predictive AI activity

Qlik’s figures are more compact, but still informative. The company had 40,000 leading-edge customers on its customer stories page (Qlik customer stories page). Qlik customers were on track to train over 70,000 models in 2024 (Qlik predictive AI review). They were also on track to make more than 250 million predictions in 2024 (Qlik predictive AI review). And Qlik had over 7,000 existing customers using Qlik Cloud solutions on AWS (Qlik AWS re:Invent blog).

These numbers are not the same kind of proof as audited revenue or formal filing data. Still, they are useful because they indicate real usage patterns and a sizable installed base. For a BI market reader, that combination of customer stories and predictive-AI activity helps show how analytics platforms are extending beyond reporting into model-driven decision support.

How to read the statistics as a buyer or analyst

The dataset supports a few practical interpretations.

1. Scale is not one number. The market includes subscribers, developers, organizations, customers, visualizations, conference attendees, transactions, and ARR. A serious BI analysis should avoid turning all of those into one false leaderboard.

2. Recurring revenue matters as much as seat count. Domo’s 90% subscription revenue mix in fiscal 2024 (Domo 2024 Form 10-K), Informatica’s $827.3 million cloud subscription ARR (Informatica 2024 Form 10-K), and Domo’s multi-year contract share all show how much the category depends on durable renewals.

3. Enterprise reach is a separate axis from public popularity. Tableau Public’s 9 million-plus visualizations (Salesforce Tableau story) and Tableau Conference’s 8,000 attendees (Salesforce Tableau conference story) show community breadth. Informatica’s Fortune 10, Fortune 100, and Global 2000 penetration shows enterprise gravity. Power BI’s 350,000-plus organizations and 6.5 million developers sit between those poles (Microsoft Power BI pricing update).

4. Pricing is part of the market signal. Power BI Pro at $14.00 per user per month and Premium Per User at $24.00 per user per month (Microsoft Power BI pricing update) give the market an accessible reference point for feature-gated growth.

5. Vendor claims should be read with context. ROI studies, leaderboard positions, and customer-story counts are useful, but they are not the same as audited financials. They matter most when paired with operational data like customer count, ARR, retention, or transaction volume.

What the numbers do not say

The statistics here are strong, but they do not answer every BI question. They do not tell you customer satisfaction in a normalized way. They do not reveal implementation complexity, switching costs, or long-term data governance quality. They also do not compare feature depth directly across products.

What they do give you is a clean market map. Power BI shows mass adoption and broad organizational reach. Tableau shows community scale and event demand. Domo shows recurring-revenue discipline and a clear customer base. Informatica shows enterprise depth and extremely high cloud throughput. Qlik shows installed-base scale and activity around predictive AI.

For anyone tracking business intelligence statistics, that is the central takeaway: the category is large, competitive, and multi-dimensional, and the best evidence comes from combining product usage signals with financial and enterprise-scale indicators.