Syria tender market report, November 2026
Month to date, updated 14 Nov 2026 · computed by FreeTender from 57 notices
- Notices published
- 57
- -30% vs October 2026 (month to date)
- Still open
- 47
- at the time of this report
- Median bid window
- 13 days
- middle half: 7–16 days
- With a stated value
- 0
- 0% of notices
Summary
So far in November 2026, FreeTender recorded 57 new procurement notices from buyers in Syria (-30% on October 2026, comparing a part month with a full one). The largest sector was Financial & Professional Services with 6 notices (11% of the total). Half of all notices gave bidders 13 days or less to respond. Wednesday was the busiest publishing day (26% of notices).
Notices by sector
- Financial & Professional Services6 notices-25%
- Education & Training5 notices+0%
- Energy & Power4 notices+0%
- Agriculture & Food4 notices+100%
- IT & Telecom3 notices+200%
- Manufacturing & Supply3 notices-25%
- Healthcare & Pharma3 notices-57%
- Livelihoods & Enterprise Development2 notices
- Real Estate & Facilities2 notices-33%
- Water & Environment2 notices-67%
- Construction & Infrastructure2 notices-50%
- Research, Studies & Evaluation1 notices
- Sports, Recreation & Events1 notices-50%
- Facility Management & Cleaning1 notices+0%
- Climate, Resilience & Disaster Risk1 notices
Change is against October 2026.
How buyers tendered
- Request for quotation25 notices
- Open tender16 notices
- Request for proposal10 notices
- Expression of interest6 notices
Publishing day
- Monday11 notices
- Tuesday9 notices
- Wednesday15 notices
- Thursday14 notices
- Friday3 notices
- Saturday0 notices
- Sunday5 notices
Most active buyers in Syria
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.