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WebSummit Rio 2026 Graphs

Table of Contents

WebSummit Rio 2026 ([2026-06-08 Mon]–[2026-06-11 Thu]) had a couple of attendees, companies and events. I dumped all the visitble data from their website (attend.websummit.com) before attending and now I'll share some numbers. Here's what was collected:

Data Count
Attendees 15882
Companies 1688
Events 659

With above data I could take some interesting insights. Initially the goal was find people from a security niche, the result was discouraging so it became general insights for a post. Not bad!

Digital Security area

I didn't knew what to expect in a WebSummit so initially the result seemed missing, but after attending I saw it is correct: It's not exclusively a technology event, it's mainly a businesses event. This explains the focus in showcasing features and avoiding diving into pitfalls.

See the events/attendees self-declared as from "Security" niche.

Data Count Graph
Total Attendees 11935 WWWWWWWWWWWW
Security Industry Attendees 123 .
Total Companies 1688 WWWWWWWWWWWW
Security Industry Companies 27 :

Full Graphs

Below some distribution tables across data.

Per-industry breakdown

Attendees

  Industry Count Graph
  Total Attendees 15882 WWWWWWWWWWWW
1 Fintech & financial services 1727 W;
2 Telecommunications & IT 1434 W.
3 AI & machine learning 1245 H
4 Advertising, content & marketing 1238 H
5 SaaS 1162 H
6 Education 1151 H
7 Entertainment & media 788 l
8 Healthtech & wellness 689 !
9 Data & analytics 606 !
10 E-commerce & retail 554 c
11 Energy & utilities 502 c
12 Politics, government & international trade 482 c
13 Industrials, manufacturing & consumer goods 476 c
14 Legal & professional services 411 ;
15 Event management 384 ;
16 Design 376 ;
17 Venture capital & private equity 324 :
18 HR & recruitment 311 :
19 Social media & networking 279 :
20 Mobility, transportation & logistics 270 :
21 Travel & hospitality 201 :
22 Agritech & foodtech 200 :
23 Sustainability & cleantech 184 .
24 Security 172 .
25 Hardware, robotics & IoT 137 .
26 Proptech & real estate 133 .
27 Web3 106 .
28 Sports & fitness 95 .
29 Charities & NGOs 91 .
30 Lifestyle & fashion 83 .
31 Gaming, VR & AR 71 .

Companies

  Industry Count Graph
  Total Companies 1688 WWWWWWWWWWWW
1 SaaS 281 WW
2 AI & machine learning 262 WH
3 Healthtech & wellness 177 W;
4 Fintech & financial services 149 W.
5 Education 94 h
6 HR & recruitment 71 !
7 Advertising, content & marketing 70 !
8 Sustainability & cleantech 65 !
9 E-commerce & retail 47 ;
10 Agritech & foodtech 46 ;
11 Telecommunications & IT 37 ;
12 Mobility, transportation & logistics 35 :
13 Data & analytics 35 :
14 Legal & professional services 34 :
15 Travel & hospitality 32 :
16 Proptech & real estate 31 :
17 Security 27 :
18 Entertainment & media 24 :
19 Politics, government & international trade 24 :
20 Energy & utilities 22 :
21 Sports & fitness 22 :
22 Hardware, robotics & IoT 21 .
23 Industrials, manufacturing & consumer goods 18 .
24 Social media & networking 16 .
25 Event management 11 .
26 Charities & NGOs 11 .
27 Gaming, VR & AR 10 .
28 Web3 7  
29 Venture capital & private equity 5  
30 Lifestyle & fashion 3  
31 Design 1  

Events per-day distribution

Date Count Graph
2026-06-08 24 c
2026-06-09 210 WWWV
2026-06-10 242 WWWWc
2026-06-11 183 WWW;

Companies

By Stage

Stage Count Graph
ALPHA 1079 WWWWWWWh
BETA 362 WWl
GROWTH 105 h
PARTNER 141 W
STRATEGIC MEDIA PARTNER 1  

By Country

Country Count Graph
Brazil 1420 WWWWWWWWWW.
United States 71 !
Portugal 28 :
Canada 21 .
United Kingdom 15 .
Mexico 10 .
Argentina 10 .
Chile 9 .
Germany 7  

Data structure

Website backend serves front-end via Turbo Stream so data was collected via HTML parsing. Nevertheless the content was consistent and easy to handle.

The main field used here was .industry which has 31 options that categorizes attendees and companies. The full data structure:

attendees
avatar_url, country, headline, id, industry, name, profile_url, role
companies
country, id, industry, logo_url, name, path, stage, url
events
date, day_group, description, id, location, path, time, title, track, url

Conclusion

There's a lot of other insights it could give:

  • Company industry by stages
  • Attendee distribution across company stages or industries
  • Companies industry distribution across locations

And more, but the post would get huge.

For now this is enough for a taste. Despite the AI flood there, in general the event name is correct: Web Summit. And considering these two focuses, I think the event was reasonable.

Recommendation: If you look for insights in technology, avoid events where entrepreneurs meets investors.