SAP BPC VS Workday Adaptive Planning
As of 30 October 2026, Workday Adaptive Planning is named by 696 companies and SAP BPC by 266; SAP BPC skews to companies under 200 people (14% vs 23%), Workday Adaptive Planning to companies over 1,000 (42% vs 73%).
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: SAP BPC's script and mail records show on hundreds of thousands of small sites, Workday Adaptive Planning rarely leaves a trace outside its own apps. Compare on the job-posting numbers; use the footprint for reach.
- SAP BPC: 2–200 employees
- 14%
- Workday Adaptive Planning: 2–200 employees
- 23%
- SAP BPC: 1,000+ employees
- 73%
- Workday Adaptive Planning: 1,000+ employees
- 42%
- Postings per company, 90 days
- 3.5 · 2.0
- 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 | SAP BPC | share | Workday Adaptive Planning | share | Leans |
|---|---|---|---|---|---|
| 2-10 employees | 8 | 3% | 24 | 3% | even |
| 11-50 employees | 10 | 4% | 42 | 6% | Workday Adaptive Planning |
| 51-200 employees | 19 | 7% | 95 | 14% | Workday Adaptive Planning |
| 201-500 employees | 13 | 5% | 108 | 16% | Workday Adaptive Planning |
| 501-1000 employees | 22 | 8% | 130 | 19% | Workday Adaptive Planning |
| 1001-5000 employees | 58 | 22% | 193 | 28% | Workday Adaptive Planning |
| 5001-10000 employees | 24 | 9% | 39 | 6% | SAP BPC |
| 10,001+ employees | 112 | 42% | 62 | 9% | SAP BPC |
| Self-employed | – | – | 3 | 0% | outside top 12 |
| Segment | SAP BPC | share | Workday Adaptive Planning | share | Leans |
|---|---|---|---|---|---|
| Manufacturing & industry | 97 | 36% | 97 | 14% | SAP BPC |
| Technology & software | 43 | 16% | 190 | 27% | Workday Adaptive Planning |
| Business & finance services | 38 | 14% | 157 | 23% | Workday Adaptive Planning |
| Commerce & trade | 19 | 7% | 28 | 4% | SAP BPC |
| Utilities & infrastructure | 18 | 7% | 27 | 4% | SAP BPC |
| Media & content | 12 | 5% | 23 | 3% | even |
| Automotive | 9 | 3% | 10 | 1% | even |
| Health care | 9 | 3% | 41 | 6% | Workday Adaptive Planning |
| Property & construction | 9 | 3% | 17 | 2% | even |
| Transport, logistics & rental | 5 | 2% | 14 | 2% | even |
| Public, community & associations | 2 | 1% | 50 | 7% | Workday Adaptive Planning |
| Consumer services & leisure | 2 | 1% | 32 | 5% | Workday Adaptive Planning |
| Segment | SAP BPC | share | Workday Adaptive Planning | share | Leans |
|---|---|---|---|---|---|
| United States | 142 | 53% | 560 | 80% | Workday Adaptive Planning |
| United Kingdom | 20 | 8% | 37 | 5% | SAP BPC |
| Germany | 18 | 7% | 10 | 1% | SAP BPC |
| Canada | 14 | 5% | 25 | 4% | even |
| France | 11 | 4% | 8 | 1% | SAP BPC |
| Singapore | 7 | 3% | 3 | 0% | SAP BPC |
| India | 5 | 2% | 6 | 1% | even |
| Australia | 4 | 2% | 5 | 1% | even |
| Belgium | 4 | 2% | 4 | 1% | even |
| Switzerland | 4 | 2% | – | – | outside top 12 |
| Italy | 4 | 2% | – | – | outside top 12 |
| Netherlands | 4 | 2% | – | – | outside top 12 |
| Sweden | – | – | 5 | 1% | outside top 12 |
| Spain | – | – | 3 | 0% | outside top 12 |
| Poland | – | – | 3 | 0% | outside top 12 |
| Segment | SAP BPC | share | Workday Adaptive Planning | share | Leans |
|---|---|---|---|---|---|
| Finance & accounting | 541 | 46% | 926 | 55% | Workday Adaptive Planning |
| IT operations & business systems | 371 | 31% | 224 | 13% | SAP BPC |
| Data & AI | 28 | 2% | 36 | 2% | even |
| Product, program & project management | 21 | 2% | 50 | 3% | even |
| General management & consulting | 20 | 2% | 16 | 1% | even |
| Software engineering | 20 | 2% | 120 | 7% | Workday Adaptive Planning |
| Customer service & success | 13 | 1% | – | – | outside top 12 |
| Sales | 6 | 1% | 40 | 2% | even |
| Legal, compliance & risk | 3 | 0% | 9 | 1% | even |
| Facilities cleaning and security | 2 | 0% | – | – | outside top 12 |
| Logistics warehouse and transport | 2 | 0% | – | – | outside top 12 |
| Unclassified | 2 | 0% | – | – | outside top 12 |
| Engineering (non-software) | – | – | 36 | 2% | outside top 12 |
| Human resources | – | – | 12 | 1% | outside top 12 |
| Healthcare clinical | – | – | 9 | 1% | outside top 12 |
| Business development & strategy | – | – | 7 | 0% | outside top 12 |
The companies behind each column
Companies using SAP BPC →
Companies using Workday Adaptive Planning →
fpa treasury close ranked →
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
Workday Adaptive Planning is named by 696 companies in job postings and SAP BPC by 266; 16 name both. (Breaknorm, 30 October 2026, https://breaknorm.co/compare/sap-bpc-vs-workday-adaptive-planning)
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.
SAP BPC vs Workday Adaptive Planning: questions
Which is more used, SAP BPC or Workday Adaptive Planning?
By companies naming it in their own job postings, Workday Adaptive Planning (696) over SAP BPC (266). By website-and-DNS footprint, Workday Adaptive Planning (0 vs 0), because its scripts and mail records sit on many small company sites.
Who chooses SAP BPC?
14% of SAP BPC companies have 2 to 200 employees, against 23% for Workday Adaptive Planning. 73% of SAP BPC companies have over 1,000 employees, against 42% for Workday Adaptive Planning.
Do companies run both?
16 companies name both in their postings, usually SAP BPC in marketing and Workday Adaptive Planning 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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