Philippines tender market report, November 2026
Month to date, updated 14 Nov 2026 · computed by FreeTender from 73 notices
- Notices published
- 73
- -67% vs October 2026 (month to date)
- Still open
- 63
- at the time of this report
- Median bid window
- 13 days
- middle half: 7–18 days
- With a stated value
- 0
- 0% of notices
Summary
So far in November 2026, FreeTender recorded 73 new procurement notices from buyers in Philippines (-67% on October 2026, comparing a part month with a full one). The largest sector was Construction & Infrastructure with 17 notices (23% of the total). Half of all notices gave bidders 13 days or less to respond. Thursday was the busiest publishing day (32% of notices).
Notices by sector
- Construction & Infrastructure17 notices-69%
- Financial & Professional Services7 notices-56%
- Healthcare & Pharma7 notices-65%
- Social Development & Inclusion4 notices+300%
- Agriculture & Food4 notices-43%
- Transport & Logistics3 notices-67%
- Research, Studies & Evaluation2 notices-50%
- Real Estate & Facilities2 notices
- IT & Telecom2 notices-89%
- Water & Environment1 notices-94%
- Facility Management & Cleaning1 notices-75%
- Education & Training1 notices-67%
- Sports, Recreation & Events1 notices-90%
- Energy & Power1 notices-86%
- Climate, Resilience & Disaster Risk1 notices+0%
Change is against October 2026.
How buyers tendered
- Contract award35 notices
- Request for proposal13 notices
- Request for quotation11 notices
- Open tender7 notices
- Grant / funding call4 notices
- Expression of interest3 notices
Publishing day
- Monday14 notices
- Tuesday12 notices
- Wednesday14 notices
- Thursday23 notices
- Friday7 notices
- Saturday0 notices
- Sunday3 notices
Most active buyers in Philippines
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.