Microsoft Power Pivot VS SAP BusinessObjects
As of 30 October 2026, SAP BusinessObjects is named by 701 companies and Microsoft Power Pivot by 319; Microsoft Power Pivot skews to companies under 200 people (18% vs 26%), SAP BusinessObjects to companies over 1,000 (54% vs 55%).
As of 30 October 2026 · refreshed daily · counts move as websites, DNS and career sites are re-read.
The website-and-DNS footprint is not comparable between a marketing suite and a CRM: Microsoft Power Pivot's script and mail records show on hundreds of thousands of small sites, SAP BusinessObjects rarely leaves a trace outside its own apps. Compare on the job-posting numbers; use the footprint for reach.
- Microsoft Power Pivot: 2–200 employees
- 18%
- SAP BusinessObjects: 2–200 employees
- 26%
- Microsoft Power Pivot: 1,000+ employees
- 55%
- SAP BusinessObjects: 1,000+ employees
- 54%
- Postings per company, 90 days
- 1.9 · 2.9
- Website or DNS footprint
- 0 · 0
Who chooses which
Share of each tool's companies in every segment. "Leans" marks a gap of more than two points.
| Segment | Microsoft Power Pivot | share | SAP BusinessObjects | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 3 | 1% | 2 | 0% | even |
| 2-10 employees | 10 | 3% | 35 | 5% | even |
| 11-50 employees | 17 | 5% | 60 | 9% | SAP BusinessObjects |
| 51-200 employees | 29 | 9% | 90 | 13% | SAP BusinessObjects |
| 201-500 employees | 45 | 14% | 63 | 9% | Microsoft Power Pivot |
| 501-1000 employees | 38 | 12% | 70 | 10% | even |
| 1001-5000 employees | 70 | 22% | 147 | 21% | even |
| 5001-10000 employees | 30 | 9% | 74 | 11% | even |
| 10,001+ employees | 77 | 24% | 160 | 23% | even |
| Segment | Microsoft Power Pivot | share | SAP BusinessObjects | share | Leans |
|---|---|---|---|---|---|
| Manufacturing & industry | 79 | 25% | 134 | 19% | Microsoft Power Pivot |
| Business & finance services | 77 | 24% | 165 | 24% | even |
| Technology & software | 51 | 16% | 185 | 26% | SAP BusinessObjects |
| Commerce & trade | 23 | 7% | 31 | 4% | Microsoft Power Pivot |
| Utilities & infrastructure | 18 | 6% | 25 | 4% | Microsoft Power Pivot |
| Automotive | 12 | 4% | 13 | 2% | even |
| Health care | 12 | 4% | 46 | 7% | SAP BusinessObjects |
| Consumer services & leisure | 11 | 3% | 16 | 2% | even |
| Transport, logistics & rental | 10 | 3% | 18 | 3% | even |
| Public, community & associations | 9 | 3% | 28 | 4% | even |
| Property & construction | 5 | 2% | 12 | 2% | even |
| Agriculture & forestry | 4 | 1% | – | – | outside top 12 |
| Media & content | – | – | 20 | 3% | outside top 12 |
| Segment | Microsoft Power Pivot | share | SAP BusinessObjects | share | Leans |
|---|---|---|---|---|---|
| United States | 170 | 53% | 415 | 59% | SAP BusinessObjects |
| Germany | 26 | 8% | 28 | 4% | Microsoft Power Pivot |
| United Kingdom | 20 | 6% | 39 | 6% | even |
| Canada | 12 | 4% | 18 | 3% | even |
| France | 12 | 4% | 81 | 12% | SAP BusinessObjects |
| Poland | 9 | 3% | – | – | outside top 12 |
| Switzerland | 6 | 2% | 9 | 1% | even |
| Austria | 4 | 1% | 8 | 1% | even |
| Brazil | 4 | 1% | – | – | outside top 12 |
| Spain | 4 | 1% | – | – | outside top 12 |
| India | 4 | 1% | 10 | 1% | even |
| Australia | 3 | 1% | 8 | 1% | even |
| Netherlands | – | – | 12 | 2% | outside top 12 |
| Belgium | – | – | 10 | 1% | outside top 12 |
| Italy | – | – | 9 | 1% | outside top 12 |
| Segment | Microsoft Power Pivot | share | SAP BusinessObjects | share | Leans |
|---|---|---|---|---|---|
| Finance & accounting | 261 | 32% | 354 | 11% | Microsoft Power Pivot |
| Data & AI | 168 | 21% | 719 | 23% | even |
| IT operations & business systems | 73 | 9% | 768 | 24% | SAP BusinessObjects |
| Logistics warehouse and transport | 28 | 3% | 59 | 2% | even |
| Product, program & project management | 20 | 2% | 88 | 3% | even |
| Business development & strategy | 19 | 2% | – | – | outside top 12 |
| Sales | 15 | 2% | 78 | 2% | even |
| Human resources | 13 | 2% | 27 | 1% | even |
| Quality, safety & environment | 12 | 1% | – | – | outside top 12 |
| Procurement and purchasing | 10 | 1% | – | – | outside top 12 |
| Engineering (non-software) | 7 | 1% | 22 | 1% | even |
| General management & consulting | 7 | 1% | 45 | 1% | even |
| Software engineering | – | – | 264 | 8% | outside top 12 |
| Legal, compliance & risk | – | – | 29 | 1% | outside top 12 |
| Customer service & success | – | – | 26 | 1% | outside top 12 |
The companies behind each column
Companies using Microsoft Power Pivot →
Companies using SAP BusinessObjects →
BI & reporting ranked →
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
SAP BusinessObjects is named by 701 companies in job postings and Microsoft Power Pivot by 319; 12 name both. (Breaknorm, 30 October 2026, https://breaknorm.co/compare/microsoft-power-pivot-vs-sap-businessobjects)
Read from the source, not self-reported
Every number on this page can be traced to a page we crawled or a posting we read. Full methodology →
- Job postingsRead hourly from career sites. A tool counts when the employer's own text names it as the team's system; both tools can count for one company.
- Website and DNSScripts and embeds on the company's pages, plus SPF, DKIM, MX and CNAME records of its domain that point at the vendor.
- SegmentsCountry, size and industry from the company profile built from its website.
- Not a reviewNo ratings, prices or feature claims. For those, read the vendors.
Microsoft Power Pivot vs SAP BusinessObjects: questions
Which is more used, Microsoft Power Pivot or SAP BusinessObjects?
By companies naming it in their own job postings, SAP BusinessObjects (701) over Microsoft Power Pivot (319). By website-and-DNS footprint, SAP BusinessObjects (0 vs 0), because its scripts and mail records sit on many small company sites.
Who chooses Microsoft Power Pivot?
18% of Microsoft Power Pivot companies have 2 to 200 employees, against 26% for SAP BusinessObjects. 55% of Microsoft Power Pivot companies have over 1,000 employees, against 54% for SAP BusinessObjects.
Do companies run both?
12 companies name both in their postings, usually Microsoft Power Pivot in marketing and SAP BusinessObjects in sales, or during a migration.
Where do these numbers come from?
From the employer's own text in job postings read hourly from career sites, and from scripts found on company websites in our crawl. No vendor data, no surveys.
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