Geospatial data is the essential fuel on which tomorrow’s digitally enabled world will run. It will be at the core of every smart city application and intelligent asset management strategy – and their success will be determined by how accurate, comprehensive and accessible it is. 
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Global location intelligence market size by 2032 (in USD)¹
$60.5B
Spatial analytics as a priority for data integrity initiatives increased by (year-over-year)²
62%
Location intelligence is at the heart of building truly intelligent communities. By harnessing advanced geospatial technology and data-driven insights, WSP helps clients move beyond smart solutions to create resilient, connected environments that anticipate challenges and deliver lasting value.
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Why choose WSP for location intelligence?

Because WSP transforms complex geospatial data into clear, actionable insight. We combine award‑winning geospatial expertise with advanced technologies like AI, machine learning and digital twins to deliver accurate, real‑time intelligence. Our multidisciplinary teams integrate data from multiple sources—CAD, GIS, sensors and satellite imagery—into dynamic models that help clients plan smarter, manage risk and optimise performance across the entire asset lifecycle.

How does location intelligence differ from traditional business intelligence?

While traditional business intelligence (BI) focuses on analysing static and temporal business data to optimise operations, location intelligence (LI) adds a critical geographic dimension. LI integrates spatial data—such as sensor readings, maps, and real-time movement—with conventional datasets, enabling organisations to answer not just “what” and “when,” but also “where” and “why.” This geographic context uncovers patterns, trends, and risks that are invisible to standard BI, empowering more informed, proactive decisions across sectors like urban planning, asset management, and environmental monitoring.

What are some practical applications of location intelligence in the real world?

Location intelligence has a wide range of applications across both the built and natural environments. For example, cities use LI to optimise traffic flows and emergency response routes, while infrastructure managers monitor asset performance and predict maintenance needs. Environmental agencies leverage it to assess climate risks and plan for flood or wildfire mitigation. In the private sector, businesses use LI to identify optimal retail locations, improve supply chain efficiency, and enhance customer experiences through personalised services. By turning complex geospatial data into actionable insights, location intelligence supports smarter, more sustainable growth and resilience.
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