Social/Behavioral

Location & Movement Data

Buy and sell location & movement data data. Anonymized GPS traces showing where people go, how long they stay, and where they go next. Worth more per data point than almost anything else.

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Overview

What Is Location & Movement Data?

Location & movement data captures the real-time and historical positions of moving objects—primarily humans via GPS-equipped devices—showing where people go, how long they stay, and their next destination. This data is collected ubiquitously through smartphones, connected wearables, and vehicle tracking systems, creating detailed digital traces of human mobility patterns across cities and regions. The data can take two primary forms: detailed trajectory data containing millions of individual GPS points collected over extended periods, or aggregated origin-destination data capturing trip patterns without full path reconstruction. Privacy-preserving anonymization techniques are applied to remove personally identifiable information, though research shows that even small numbers of spatial locations can uniquely identify individuals, making data collection and sharing challenging despite its high market value.

Market Data

17+ million GPS points across 26 million trajectories over 3 years

Sample Dataset Scale (Beijing)

Source: ACM Transactions on Spatial Algorithms and Systems

84K trajectories with 80+ million GPS points over 1 month

Sample Dataset Scale (Singapore)

Source: ACM Transactions on Spatial Algorithms and Systems

1.5 million trips over 6 months

NYC Taxi Dataset

Source: ACM Transactions on Spatial Algorithms and Systems

80% of time spent on data cleaning and preparation

Data Scientist Time on Cleaning

Source: ACM Transactions on Spatial Algorithms and Systems

Who Uses This Data

What AI models do with it.do with it.

01

Urban Planning & Infrastructure

Driving data helps build accurate maps and decide optimal locations for facilities like restaurants, retail stores, and clinics. Movement analysis reveals demand patterns for infrastructure and energy resources.

02

Traffic Management & Route Optimization

Real-time and historical movement data enables better routing, traffic flow prediction, and fleet management across cities and transportation networks.

03

Retail & Market Research

Indoor navigation and movement tracking help understand foot traffic patterns in malls and stores, supporting market research and location decision-making.

04

Health & Emergency Response

Connected wearables track elderly movement for timely interventions; crowd movement analysis supports disaster response, evacuation planning, and pandemic prevention strategies.

What Can You Earn?

What it's worth.worth.

Geographic Coverage

Varies

Premium pricing for comprehensive national or multi-country datasets; lower rates for regional or limited-geography datasets

Granularity & Temporal Depth

Varies

Detailed trajectory data with millions of GPS points commands higher prices than aggregated origin-destination datasets

Data Freshness & Volume

Varies

Real-time location feeds and large-scale, frequently-updated datasets typically earn more than historical snapshots

What Buyers Expect

What makes it valuable.valuable.

01

Privacy & Anonymization

Data must be properly anonymized to remove personally identifiable information and prevent re-identification, even though few spatial points can theoretically identify individuals. Compliance with privacy regulations is essential.

02

Data Accuracy & Completeness

GPS accuracy, minimal gaps, and comprehensive temporal coverage are critical. Data scientists typically spend 80% of effort on cleaning and preprocessing, so high-quality source data significantly reduces buyer costs.

03

Geographic & Temporal Specificity

Buyers need clarity on exact coverage areas, time periods, and update frequency. Datasets should match stated regions to be valuable—location data for Europe is worthless to buyers needing US coverage.

04

Documentation & Metadata

Clear documentation of collection methods, error rates, privacy techniques, and data quality metrics enables buyers to assess fit for their specific applications.

Companies Active Here

Who's buying.buying.

Urban Planning & Smart Cities Authorities

Analyze crowd movement and infrastructure demand to improve city services and reduce inequalities

Autonomous Vehicle & Fleet Management Companies

Use mobility data for route optimization, traffic prediction, and autonomous vehicle training

Taxi & Ride-Sharing Services

Leverage trip data and trajectory information for demand forecasting and driver assignment

Health & Emergency Management

Monitor elderly movement via wearables and analyze crowd patterns for disaster response and pandemic prevention

FAQ

Common questions.questions.

Why is location & movement data more valuable than other data types?

Location data is worth more per data point because it enables high-impact applications across multiple industries—from autonomous vehicles to emergency response to urban planning. Its specificity and real-world behavioral insights make it particularly valuable to enterprises, despite significant privacy and data-collection challenges.

What privacy issues affect location data sales?

Location data poses unique privacy risks because just a few spatial locations are sufficient to uniquely identify individuals even in large populations. This requires rigorous anonymization, and even properly anonymized data faces sharing restrictions. Most publicly available mobility datasets are limited to small regions and aggregated form, hindering detailed applications.

What formats does location & movement data come in?

Location data exists in two main formats: detailed trajectory data (millions of GPS points per dataset showing full movement paths) and origin-destination data (trip endpoints without full routing information). Detailed trajectories are more valuable but harder to anonymize; aggregated O-D data is easier to share but less useful for certain applications.

How much data cleaning is required before sale?

Mobility data requires extensive cleaning and preprocessing—data scientists typically spend 80% of their time on this work. High-quality source data with minimal errors, gaps, and uncertainty significantly reduces buyer costs and increases perceived value.

Sell yourlocation & movementdata.

If your company generates location & movement data, AI companies are actively looking for it. We handle pricing, compliance, and buyer matching.

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