# Microsoft Power BI: how AI models rank it, September 2026

GTM AI Recommendation Index, September 2026 Edition. Named in 72 judge labels across 6 categories by 12 of 12 models. Page: https://gtm-ai-index.com/vendors/microsoft-power-bi/

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| Dashboards and data visualization | 62% | 1 | 8% | 62 |
| Customer intelligence and data science | 2% | 13 | 0% | 5 |
| Data warehouse and reverse ETL for marketing | 0% | 98 | 100% | 2 |
| Customer success platforms | 0% | 32 | 0% | 1 |
| Data management platforms | 0% | 119 | 0% | 1 |
| Product analytics | 0% | 40 | 100% | 1 |

## What the models said for it

- "Microsoft Power BI is the best default choice because it offers broad capability, strong self-service dashboards, and low starting cost" (Perplexity Sonar, BI & dashboards)
- "Microsoft Power BI is the strongest default: it's the most affordable, integrates seamlessly, and scales with self-service." (DeepSeek V4 Flash, BI & dashboards)
- "Strengths: Deep integration with Microsoft ecosystem (Excel, Azure, SQL Server), affordable pricing, AI Copilot features" (MiniMax M2.5, BI & dashboards)
- "Power BI is probably the best all-around customer analytics and intelligence platform for a company with a limited budget." (GPT-5.4 mini, Customer intel)

## And against it

- "they lack native behavioral engines ... Avoid forcing your product team to use them" (Gemini 3.5 Flash, Product analytics)
- "Avoid entirely: ... Power BI Pro for scaling marketing teams" (Kimi K2, Warehouse & ETL)
- "Power BI Limitations: ... Complex DAX syntax that's difficult to learn ... Slower performance with large datasets" (GLM 4.7 FlashX, BI & dashboards)
- "While popular and affordable, users consistently report: - Severe performance lags with database connections" (MiniMax M2.5, BI & dashboards)

## The company

Microsoft; https://www.microsoft.com/; Vancouver, Canada; founded 1975; about 228,000 employees (2024); public, 4338 on Hong Kong Stock Exchange. From Wikidata, fetched 2026-09-14.

## Record

- Method: https://gtm-ai-index.com/methodology/
- Raw judge labels and full responses: https://gtm-ai-index.com/data/
- License: CC BY 4.0. Cite as GTM AI Recommendation Index, September 2026 Edition, gtm-ai-index.com.