Based on 100 global travel tech conferences in 2026, I analysed which weekdays conferences are running on.
I'm not sure how useful this is to conference organisers, since this is mostly stuff you knew already, but here's the data anyway:
😲 An overwhelming majority, 85%, of conferences have at least part of the event on a Wednesday!
😲 One third of all conference days (start, end or in-between) are a Wednesday. Tuesdays and Thursdays each account for less than a quarter.
🤔 39% of conferences start on a Tuesday, 25% on Wednesday, 22% on Monday.
🤔 77% of conferences end on a Wednesday or a Thursday (fairly even split), 15% end on a Friday.
😌 Weekends (Saturday, Sunday, Friday start, Monday end) are generally only involved if there's a consumer part of the schedule - i.e. open to the public.
Note: These are in-person events only based on published start and end dates.
If you want to see the full list of more than 100 travel + technology conferences, with links to the event pages, check out my earlier post here:
Gosh, this is a fun set of statistics Mark, thanks for sharing!
tl;dr = "Wednesday is the dominant day — appearing in 85% of all events and accounting for a third of all conference days — with most conferences starting on a Tuesday and ending on a Wednesday or Thursday."
Personally I prefer the tail end of the week because it's generally full of more energy and there's opportunity to do a bit of sight-seeing (if you're a visitor) on the weekend afterwards.
Did you analyse any differences between regions (e.g. between Asia and Europe)?
I often thought Friday or Monday would be better for tourism, but these were all also tech conferences which maybe skews the data a bit - people who are there as part of their job and are travelling internationally are usually unwilling to give up weekend time with their family.
I used to add days to my trips a lot - when I was younger and had nobody depending on me.
I'll check the region thing, that's a good idea. It should be as easy as setting a filter. The only issue is it reduces the sample size a lot, so the results won't as statistically significant.
Comments
Based on 100 global travel tech conferences in 2026, I analysed which weekdays conferences are running on.
I'm not sure how useful this is to conference organisers, since this is mostly stuff you knew already, but here's the data anyway:
😲 An overwhelming majority, 85%, of conferences have at least part of the event on a Wednesday!
😲 One third of all conference days (start, end or in-between) are a Wednesday.
Tuesdays and Thursdays each account for less than a quarter.
🤔 39% of conferences start on a Tuesday, 25% on Wednesday, 22% on Monday.
🤔 77% of conferences end on a Wednesday or a Thursday (fairly even split), 15% end on a Friday.
😌 Weekends (Saturday, Sunday, Friday start, Monday end) are generally only involved if there's a consumer part of the schedule - i.e. open to the public.
Note: These are in-person events only based on published start and end dates.
If you want to see the full list of more than 100 travel + technology conferences, with links to the event pages, check out my earlier post here:
Gosh, this is a fun set of statistics Mark, thanks for sharing!
tl;dr = "Wednesday is the dominant day — appearing in 85% of all events and accounting for a third of all conference days — with most conferences starting on a Tuesday and ending on a Wednesday or Thursday."
Personally I prefer the tail end of the week because it's generally full of more energy and there's opportunity to do a bit of sight-seeing (if you're a visitor) on the weekend afterwards.
Did you analyse any differences between regions (e.g. between Asia and Europe)?
I often thought Friday or Monday would be better for tourism, but these were all also tech conferences which maybe skews the data a bit - people who are there as part of their job and are travelling internationally are usually unwilling to give up weekend time with their family.
I used to add days to my trips a lot - when I was younger and had nobody depending on me.
I'll check the region thing, that's a good idea. It should be as easy as setting a filter. The only issue is it reduces the sample size a lot, so the results won't as statistically significant.