Venue connectivity intelligence

Where connectivity actually works — at venue level.

Confidence-scored Wi-Fi quality, speed, freshness, and venue context for telecom, location-intelligence, and data buyers across 130+ active markets.

Privacy-aware delivery · methodology published · confidence-scored

Used by telecom, mapping, hospitality, real estate, and city teams to decide where connectivity matters.

Markets active
130+
last 90 days
Users
200M+
since 2014
Venues categorized
2M+
400+ categories
Confidence model
Scored
freshness · sample · match
Why venue-level data matters

Others measure networks.
We map connectivity where people actually connect.

Network coverage and speed-test panels each tell part of the story — neither resolves the venue level where people actually connect. That's what we license.

Cell coverage

Network-tier data

1 Outdoor coverage model per tower/sector
  • Ignores indoor environments
  • No Wi-Fi data
  • No venue or category context
Speed-test panels

Sample-tier data

~1 Sample per location, ad-hoc
  • Sparse and inconsistent at venue level
  • Aggregate metrics, not per-venue
  • No offload-readiness signal
★ Venue connectivity intelligence

Venue-tier data

17M+ Venue tags · 3B+ observations
  • Indoor signals where people actually connect
  • Wi-Fi + speed + freshness + venue category combined
  • Licensed as data feed, API, dashboard, or market study

Verified by 200M+ users · 12+ years continuous

Built for venue-level planning, offload strategy, POI enrichment, and market intelligence.

From data to decisions

Questions you can answer.
Deliverables you receive.

Two sides of the same product: the decisions venue-level data unlocks, and the artifacts your team gets to act on them.

Questions you can answer
  • Which venues are strong candidates for Wi-Fi offload?
  • Which districts have weak indoor connectivity?
  • Which venue categories deliver the best CX?
  • Where should we prioritize indoor capex or partnerships?
  • Which POIs deserve a connectivity-quality attribute?
  • Which markets are ready for deeper analysis?
Deliverables you receive
  • Ranked venue list with offload opportunity scores
  • District + category benchmarks (heatmap-ready)
  • Wi-Fi quality, speed, freshness scores per venue
  • Confidence-scored coverage gap map
  • Venue-level CSV / Parquet / API access
  • Executive market report (Jakarta-style)
Coverage

Crowdsourcing keeps the venue atlas current.

Five regions, 130+ active markets — deepening every month. A community of tens of thousands of monthly contributors keeps freshness, depth, and reach improving. Live since 2014.

For 12 years, millions of people have used WiFi Map to find connectivity in the real world. That created a venue-level signal no traditional dataset can quickly reproduce.

Five regions · monthly contributors improving coverage · 24/7
·
·
·
200M+
Users
5
Regions
10K+
Contributors
2014→
Continuous
Asia-Pacific Europe North America Latin America Middle East & Africa
Don't see your market? →
Data foundation

The numbers behind venue-level intelligence.

Every figure on this site means a specific thing. Here's the dictionary, so you know exactly what's behind a feed, an API call, or a market report.

200M+
App users
People who used the WiFi Map consumer app since 2014.
17M+
Wi-Fi hotspots
Community-contributed connectivity locations across markets.
3B+
Connectivity observations
Scans, validations, speed tests, and freshness signals.
2M+
Categorized venues
Venues mapped into our 400+ venue-category taxonomy.
130+
Active markets
Markets with recent coverage and usable signal depth.
12+ yr
Continuous panel
Live consumer panel running uninterrupted since 2014.
Privacy-aware by design

Built so you can license confidently.

Connectivity intelligence at scale matters only if it's deliverable inside compliance, procurement, and legal frameworks. We've designed for that since day one.

No PII in licensed datasets
No personal-location resale ever
No ad-tech targeting use cases
Hashed device IDs from ingest
Aggregated venue-level delivery only
Published methodology + confidence model
Use case in depth · Telecom offload

Where cellular peaks meet venue Wi-Fi.

When sectors saturate, public & venue Wi-Fi absorbs the load — at the venue level, by category, with confidence scores.

BTS · CELL SECTOR
PEAK-HOUR LOAD 94%
Offload potentialLIVE
0%
peak-hour relief · jakarta
Download
Upload
Score
Offload
Powered by WiFi Map data 17M+hotspots · 3B+scans · 12y+panel · 130+markets
Data products

A slice of the actual app,
embedded right here.

This is what your team gets. Click through the sidebar — same nav, same data, same screens as the live product.

app.wifimap.ai/jakarta/overview Live

Greater Jakarta — Market Overview

90d window · refreshed 4 min ago
Active hotspots
73,206
↑ +4.2%
Avg download
11.4Mbps
↑ +67%
Verified
53.6%
14,872 tests
Venue avg DL
29.4Mbps
Top venues
Download speed trend · 2023–2026

Venue Categories

Connectivity performance by venue type · 90d
Venue categoryHotspotsAvg downloadAvg pingWiFi score
Coffee Shops51529.6 Mbps33 ms9.4 / 10
Hotels53220.1 Mbps35 ms8.6 / 10
Apartment Buildings2,31919.1 Mbps36 ms8.3 / 10
Colleges & Universities82215.0 Mbps32 ms7.2 / 10
Food & Restaurants3,78014.8 Mbps54 ms6.8 / 10
Pharmacies1556.8 Mbps65 ms3.9 / 10

Speed Performance

City-wide averages · 2023–2026
Avg download
11.4Mbps
Avg latency
50ms
Reliability
87%
Download · Latency · Reliability

Offload Opportunity

Network planning impact · Greater Jakarta
Public/venue hotspots
48,293
Avg quality index
7.6
Offload potential
52%
Confidence
High
#1 · Top priority
South Jakarta Malls
12,847 · 32.4 Mbps · 58% offload
#2 · Secondary
Central Jakarta CBD
9,214 · 30.1 Mbps · 55%
#3 · Growth
Cafes & Hotels Citywide
1,047 · 25.0 Mbps · 90%+ reliability

Gap Analysis

Coverage gap — venues below city avg (11.4 Mbps)
Venue categoryHotspotsAvg downloadGap vs avg
Pharmacies1556.8 Mbps−4.6 Mbps
Shops & Retail6,1519.2 Mbps−2.2 Mbps
Residential31,10311.5 Mbps+0.1 Mbps
★ Sample row · venue feed Illustrative format · final schema agreed at SOW
Venue ID Category District Avg DL Avg UL Ping Freshness Sample Confidence Offload
JK-104782 Shopping mall South Jakarta 32.4 Mbps 12.1 Mbps 33 ms 4 d ago 2,847 0.86 0.58
FEED
Bulk feed

CSV / Parquet drops, weekly. Confidence + freshness signals included.

API
API

REST / GraphQL. Venue-level lookup by region, category, or POI ID.

DASHBOARD
Self-serve

Interactive exploration of any active market. No SQL required.

Methodology

Every venue carries an inspectable confidence score.

Not a black-box number. A confidence score built from four auditable inputs — published, reproducible, refreshed continuously since 2014.

01

Live consumer panel

Opt-in contributions from the WiFi Map app since 2014. Hashed device IDs, privacy-aware delivery, PII excluded from licensed data by design.

Since 2014 · continuous panel
02

Published confidence model

Every observation rated on freshness, sample size, geographic precision, and venue-match strength. Scoring functions published — your team can re-derive any score.

4 inputs · scoring functions published
03

Bias transparency by design

Coverage skew, contributor demographics, and market-depth limits documented per dataset. No black-box numbers, no hidden caveats.

Per-dataset limitations · documented
Read full methodology →
Three ways to start

Whether you license data, run offload,
or publish research — start here.

Pick the path that matches where you are. We'll route accordingly.

Exploring

Talk to our team

30-min call. We walk methodology, show the dashboard, and help you scope.

Book a call →
For data buyers

Get a sample data drop

Receive a venue-level CSV/Parquet sample. We send a short mutual NDA after your request.

Request sample →

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