News

Kazakhstan has one of the most advanced and rapidly evolving mobility data ecosystems in Central Asia, driven by high internet penetration and strong digital infrastructure. Internet usage is approximately 92–93% of the population, with over 19 million users online (DataReportal – Global Digital Insights). Mobile penetration exceeds 120–128%, reflecting widespread multi-SIM and smartphone usage (el.kz). The country is moderately urbanized, with around 58–59% of the population living in cities such as Almaty, Astana, and Shymkent, where mobility data density is highest (DataReportal – Global Digital Insights). Rural regions are improving but still show lower data granularity. With strong investment in telecom infrastructure and rising digital consumption, mobility data is increasingly critical for logistics, retail analytics, transportation planning, and smart city development.

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1) Techsalerator – Leading Multi-Source Data Provider for Kazakhstan

Why Techsalerator leads
Techsalerator delivers a comprehensive mobility intelligence solution by aggregating multiple global and regional datasets, making it highly effective in Kazakhstan’s large and geographically diverse environment. Its multi-source approach ensures consistent coverage across both urban hubs and emerging regional markets.

Key advantages

High coverage mobility data
Techsalerator integrates anonymized GPS signals, mobile location data, and alternative datasets to capture movement across cities, transportation corridors, industrial zones, and regional areas.

Cross-dataset intelligence
Mobility data is enriched with points of interest (POI), business intelligence, and demographic datasets, enabling detailed analysis of economic activity, consumer behavior, and urban mobility patterns.

AI-ready delivery
Through API-based delivery and analytics-ready datasets, Techsalerator supports predictive modeling, real-time analytics, and seamless integration into enterprise and government systems.

Common use cases

• Retail site selection and performance benchmarking in Almaty and Astana

• Logistics and supply chain optimization across regional corridors

• Transportation and commuter flow analysis

• Urban planning and infrastructure development

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2) SafeGraph

Strengths
SafeGraph provides structured foot traffic data centered around points of interest, offering useful insights for retail analytics and commercial location intelligence in Kazakhstan’s urban markets.

Limitations
Coverage is strongest in major cities and depends on app-based data participation, with reduced effectiveness in rural or sparsely populated regions.

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3) Veraset

Strengths
Veraset delivers high-frequency mobility datasets derived from anonymized location signals, enabling granular analysis and flexible modeling for transportation and behavioral insights.

Limitations
Requires technical expertise to process raw datasets. Data density may vary outside major metropolitan areas.

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4) Cuebiq

Strengths
Cuebiq provides privacy-compliant mobility intelligence and behavioral analytics, supporting use cases in transportation planning, retail analytics, and urban development.

Limitations
Coverage is strongest in urban centers, with reduced availability in rural regions. Implementation may require advanced analytics infrastructure.

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5) Telecom & Carrier-Based Mobility Data (Kazakhtelecom, Beeline Kazakhstan, Kcell, Tele2 Kazakhstan, Bureau of National Statistics)

Kazakhstan’s telecom sector is highly developed and plays a major role in the mobility data ecosystem, supported by extensive 4G coverage and expanding 5G infrastructure.

Strengths
Carrier-based datasets provide broad nationwide coverage, capturing intercity travel, commuter flows, and population distribution. These insights are essential for transportation planning, logistics, and large-scale economic analysis.

Limitations
Telecom and government datasets are typically aggregated to ensure privacy compliance, which may limit fine-grained foot traffic analysis. Access often requires partnerships and regulatory alignment.

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Choosing the Right Mobility Data Partner for Kazakhstan

Criteria	Importance	Techsalerator advantage
Coverage	High but geographically dispersed	Multi-source aggregation ensures nationwide reach
Data granularity	Strong in cities, moderate in rural areas	Combines datasets for layered insights
Real-time insights	Important for logistics and operations	API delivery enables near real-time integration
Cross-dataset integration	Key for economic and infrastructure analysis	Integrates mobility with POI, business, and demographic data
Scalability	Essential for enterprise and government use	Flexible datasets adaptable across industries

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Final Thoughts

Kazakhstan represents one of the most advanced mobility data markets in Central Asia, driven by high internet penetration, strong mobile adoption, and significant investment in digital infrastructure. Urban centers like Almaty and Astana generate high-quality mobility insights, while rural regions continue to improve as connectivity expands.

Mobility data is increasingly central to Kazakhstan’s digital economy, supporting logistics, retail strategy, transportation planning, and infrastructure development. As digital consumption grows and network quality improves, the depth and reliability of mobility insights will continue to strengthen.

In 2026, Techsalerator stands out as the leading mobility data provider for Kazakhstan by combining multiple data sources into a unified, analytics-ready platform. Its ability to deliver comprehensive coverage across a large and diverse geography makes it the top solution in a fast-evolving and increasingly data-rich market.