Paraguay tender market report, November 2026
Month to date, updated 14 Nov 2026 · computed by FreeTender from 169 notices
- Notices published
- 169
- -87% vs October 2026 (month to date)
- Still open
- 94
- at the time of this report
- Median bid window
- 9 days
- middle half: 6–12 days
- With a stated value
- 0
- 0% of notices
Summary
So far in November 2026, FreeTender recorded 169 new procurement notices from buyers in Paraguay (-87% on October 2026, comparing a part month with a full one). The largest sector was Healthcare & Pharma with 33 notices (20% of the total). Half of all notices gave bidders 9 days or less to respond. Monday was the busiest publishing day (22% of notices).
Notices by sector
- Healthcare & Pharma33 notices-73%
- Facility Management & Cleaning30 notices-91%
- Financial & Professional Services13 notices-88%
- IT & Telecom12 notices-81%
- Construction & Infrastructure10 notices-85%
- Energy & Power8 notices-67%
- Water & Environment4 notices+0%
- Media, Printing & Advertising4 notices-92%
- Transport & Logistics1 notices-94%
- Oil, Gas & Petrochemicals1 notices-86%
- Education & Training1 notices-96%
- Manufacturing & Supply1 notices-98%
Change is against October 2026.
How buyers tendered
- Open tender163 notices
- Request for quotation4 notices
- Expression of interest1 notices
- Request for proposal1 notices
Publishing day
- Monday37 notices
- Tuesday28 notices
- Wednesday37 notices
- Thursday36 notices
- Friday31 notices
- Saturday0 notices
- Sunday0 notices
Most active buyers in Paraguay
- Instituto de Previsión Social (IPS)29 notices
- Banco Nacional de Fomento (BNF)5 notices
- Presidencia de la República5 notices
- Petróleos Paraguayos (PETROPAR)4 notices
Other months
Method: counts are notices first published in the month, by the buyer's country, across all sources FreeTender reads. Bid window means days from publication to the deadline. Coverage grows as we add sources, so part of any rise can be new coverage rather than new demand. You may quote these figures with a link to this page. The underlying rows are in our open dataset.