Zambia tender market report, November 2026
Month to date, updated 14 Nov 2026 · computed by FreeTender from 33 notices
- Notices published
- 33
- -69% vs October 2026 (month to date)
- Still open
- 29
- at the time of this report
- Median bid window
- 6 days
- middle half: 4–17 days
- With a stated value
- 0
- 0% of notices
Summary
So far in November 2026, FreeTender recorded 33 new procurement notices from buyers in Zambia (-69% on October 2026, comparing a part month with a full one). The largest sector was Media, Printing & Advertising with 6 notices (18% of the total). Half of all notices gave bidders 6 days or less to respond. Wednesday was the busiest publishing day (24% of notices).
Notices by sector
- Media, Printing & Advertising6 notices+50%
- Humanitarian & Emergency Relief6 notices
- Financial & Professional Services4 notices-64%
- Social Development & Inclusion4 notices+33%
- Healthcare & Pharma2 notices-50%
- Research, Studies & Evaluation2 notices+100%
- IT & Telecom1 notices-90%
- Facility Management & Cleaning1 notices-67%
- Water & Environment1 notices-50%
- Agriculture & Food1 notices-50%
- Construction & Infrastructure1 notices-94%
Change is against October 2026.
How buyers tendered
- Contract award21 notices
- Request for quotation7 notices
- Request for proposal2 notices
- Grant / funding call1 notices
- Expression of interest1 notices
- Open tender1 notices
Publishing day
- Monday6 notices
- Tuesday4 notices
- Wednesday8 notices
- Thursday5 notices
- Friday2 notices
- Saturday3 notices
- Sunday5 notices
Most active buyers in Zambia
- World Bank project21 notices
- ILO7 notices
- UNICEF2 notices
- Coady Institute1 notices
- FAO1 notices
- Ministry of Tourism1 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.