Global Location Analytics Market is estimated to be valued at USD 24.99 Bn in 2025. The market is expected to reach USD 77.79 Bn by 2032, growing at a compound annual growth rate (CAGR) of 17.6% from 2025 to 2032.

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The growing adoption of advanced technologies such as Machine Learning, Artificial Intelligence, big data analytics and location data aggregation are driving the Location Analytics solutions market demand across industry verticals. Location analytics is a technology that involves the process of analyzing and interpreting data corresponding to geospatial information. It uses GIS techniques, data mining, visualization, and statistics to extract essential information from spatial data.
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The AI in location analytics market is rapidly evolving, driven by the integration of artificial intelligence with geospatial technologies. AI enhances the ability to process and interpret vast amounts of location-based data, enabling predictive modeling, real-time insights, and smarter decision-making across industries. Applications span retail, logistics, healthcare, telecom, and urban planning, where AI supports tasks like route optimization, customer behavior analysis, and infrastructure monitoring. Emerging trends include indoor mapping, digital twins, and cloud-native GIS platforms, reflecting a shift toward more dynamic and actionable spatial intelligence. This transformation is reshaping how businesses and governments leverage location data for strategic advantage.
For instance, in June 2025, Google introduced Google Earth AI, a new initiative combining satellite imagery with advanced artificial intelligence to monitor environmental changes globally. The platform enables faster detection of deforestation, urban expansion, and natural disasters. This innovation supports researchers, governments, and NGOs in making data-driven decisions for sustainability and climate resilience.
In terms of component, the solution segment is expected to account for 61.9% in 2025 due to the ongoing technological advancements that widen the scope of location-based insights. Varied software tools for indoor mapping, geofencing, geoanalytics, and proximity marketing allow comprehensive extraction of intelligence from device locations. Emerging technologies like Bluetooth beacon integration, Wi-Fi positioning, and GIS mapping extend the Solution segment's applications beyond geography to customized contextual alerts.
For instance, in December 2024, Ooredoo Qatar launched “Ooredoo Flow,” a location analytics solution powered by the TASMU smart city platform. Leveraging anonymized data from over 4.3 million devices, the tool offers insights into demographics and commuting patterns. Built on Microsoft Azure, it supports Qatar’s digital transformation across sectors like transport, healthcare, logistics, environment, and sports.
In terms of location type, the outdoor segment is expected to hold the largest location analytics market share in 2025, due to rising demand from various industries. The outdoor location analytics is primarily driven by the heavy reliance on GPS and IoT-enabled solution for real-time asset monitoring, fleet tracking and route optimization. For outdoor location analytics is commonly observed in industries including transportation, logistics, and retails, which helps in enhancing supply chain visibility, ensures timely deliveries and minimizes fuel cost. Additionally with expanding smart cities, the outdoor location segment is further accelerated.
In terms of deployment, the cloud-based segment is expected to contribute the highest share of the market in 2025, due to favorable scalability, cost efficiency, remote accessibility and ability to handle large volume of geospatial date. Majority of the enterprises are preferring the cloud-based location analytics for remote accessibility and integration with AI/ML to generate predictive analytics. Moreover, the shift towards cloud deployment is boosted by the elevated demand for location-based services in e-commerce, retail and smart mobility.
For instance, in August 2025, INRIX unveiled its Signal Analytics API at the ITS World Congress, offering real-time, network-wide traffic signal performance data to agencies and vendors. Alongside the API, INRIX showcased innovations like Road Rules and Compass, enhancing urban mobility and traffic management through AI-powered insights and cloud-based tools.
In terms of industry, the transportation & logistics segment is projected to capture the greatest share of the market in 2025, owing to its requirement for fleet management, supply chain management, efficient route optimization and real-time visibility. Several companies prefer leveraging their geospatial insights to reduce delay, optimize operation and improve last-mile delivery performance. The expansion in e-commerce and global trade is further growth the segment.
For instance, in November 2024, Hapag-Lloyd partnered with HERE Technologies to enhance global supply chain visibility and efficiency. By integrating HERE’s real-time location data and mapping solutions, the shipping giant aims to optimize container tracking and logistics operations. The collaboration marks a significant step toward smarter, data-driven maritime transport and improved customer service across international trade routes.

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In North America, the dominance in the location analytics market demand is expected to account for 34.7% market share and can be attributed to robust technology adoption and well-established Location-Based Service (LBS) ecosystem in countries like the US. Major tech companies in the North America are greatly investing in location data and solutions to gain competitive advantage.
For instance, in May 2025, DataPlor launched a Global Mobility product, expanding its foot traffic insights to major international markets. Leveraging mobile location data, the platform offers businesses granular visibility into consumer movement patterns across retail, real estate, and finance sectors. This marks a significant step in delivering scalable location analytics for global decision-making.
The Asia Pacific region is expected to account for 30.8% market share in 2025 due to increasing penetration of mobile devices and rapidly expanding e-commerce sector across developing nations. Countries like China and India are promoting location technology usage through supportive policies and initiatives.
For instance, in August 2025, ideaForge launched the Q6V2 Geo UAV, a cutting-edge drone designed to advance geospatial intelligence. Equipped with high-resolution sensors and AI-powered analytics, the UAV enables precise mapping and surveillance in challenging environments. This innovation marks a significant leap in autonomous aerial data collection for defense, disaster response, and infrastructure monitoring.
The United States location analytics market demand continues to grow driven by strong demand from industries such as retail, transportation and logistics. Key players including Google and Microsoft are leveraging location insights to enhance various services. The adoption of location analytics technologies and solutions in the U.S. has observed to been grown significantly in recent years, due to wider trends in data availability, connectivity, and customer expectations.
For instance, in June 2025, LexisNexis Risk Solutions unveiled an advanced location intelligence offering, enhancing its suite of geospatial analytics tools. The solution integrates precise address data with behavioral insights to support risk assessment, fraud detection, and customer engagement. This launch strengthens decision-making capabilities across insurance, financial services, and government sectors through enriched spatial context.
China's location analytics market value is shaped by government's 'Digital Silk Road' initiative and growing local enterprises, which are focusing on location as a key technology. Providers are offering customized solutions targeting industries such as automotive and healthcare. E-commerce in particular has been a big driver of the location analytics boom. The scale and complexity of China's logistics network necessitate precise location data to optimize delivery routes, manage warehouse inventories in real-time, and provide accurate estimated arrival windows to customers.
For instance, in July 2025, China unveiled an AI-powered geospatial model for instant 3D building reconstruction, developed by the Moganshan Geospatial Information Laboratory. The technology rapidly generates accurate 3D models from multi-angle images, enhancing urban planning, disaster response, and digital twin applications. This innovation marks a major leap in geospatial intelligence and smart city development.
The location analytics market growth in Japan is observed by emergence of 5G technologies. With more people embracing e-commerce and online shopping, businesses have recognized the importance of location data and analytics to better understand customer purchase behavior based on their physical locations. According to Japan's Ministry of Internal Affairs and Communications, the country aims to have 5G coverage in all prefectures by the end of 2025 to support technologies such as IoT, autonomous vehicles.
For instance, in August 2025, Sumitomo Corporation has invested in Ursa Space to support its global expansion and entry into the Japanese market. The partnership aims to enhance satellite-based analytics and geospatial intelligence capabilities. This strategic move strengthens Ursa Space’s presence in Asia and underscores Sumitomo’s commitment to advancing space technology and data-driven decision-making.
The UK’s location analytics market is characterized by continuous collaboration with tech companies, network providers and cities to modernize infrastructure and urban mobility through location services. The UK public transport system utilizes location data from mobile ticketing apps to analyze commuting and travel patterns. This helped transport authorities to strategize schedules and enhance safety protocols as restrictions eased.
For instance, in August 2025, A geospatial intelligence start-up has completed its seed funding round and launched a new app in the UK. The app delivers real-time location-based insights for industries like logistics, infrastructure, and emergency response. This milestone marks a significant step in expanding geospatial capabilities and accelerating the start-up’s growth in the European market.

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| Report Coverage | Details | ||
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| Base Year: | 2024 | Market Size in 2025: | USD 24.99 Bn |
| Historical Data for: | 2020 To 2024 | Forecast Period: | 2025 To 2032 |
| Forecast Period 2025 to 2032 CAGR: | 17.6% | 2032 Value Projection: | USD 77.79 Bn |
| Geographies covered: |
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| Companies covered: |
Microsoft Corporation, Google LLC (Alphabet Inc.), Zebra Technologies Corporation, Esri, Hexagon AB, Here Technologies, Precisely, SAP SE, TomTom, SAS Institute Inc. |
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The modern business landscape gradually relies on gathering and leveraging location data to gain benefit. Understanding where customers and assets are located, and how those locations impact business results, is key to informed decision-making. Yet revealing insights from spatial information requires specialized skill and technology. For organizations lacking dedicated location analytics capabilities, gleaning actionable strategic or tactical perspectives from their geographical data remains a challenge. Thriving in a digital economy demands a strong awareness of customers as dynamic individuals rather than inactive demographics. Competitive pressures spur firms to unlock deeper revelations about client preferences, behaviors and needs on a continuous basis.
Location analytics has moved beyond tactical curiosity to a strategic, revenue-grade capability for companies that treat place as a measurable, optimizable asset. The most commercially consequential deployments are no longer “pilot” experiments; they are mission-critical inputs to site-selection, omni-channel attribution, real-estate portfolio optimization, and store-level merchandising. Leading retail and real-estate practitioners now treat third-party cellphone location streams and in-store sensor telemetry as fundamental signals that materially change decisions about where to open, how to staff, and what assortment to carry.
Moreover, data quality and methodology are the real bottlenecks. Different sensing modalities (GPS pings, cell-tower triangulation, Wi-Fi positioning, beacons) have materially different precision and bias profiles: Wi-Fi and dedicated indoor positioning often achieve meter-level accuracy indoors and outperform raw GPS in dense or indoor settings; consumer smartphone GPS performance varies dramatically by device and context, producing uneven sampling across demographics and geographies. Any claim of “precise” in-store attribution that does not disclose modality, median horizontal accuracy, and sampling representativeness should be treated skeptically.
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About Author
Ankur Rai is a Research Consultant with over 5 years of experience in handling consulting and syndicated reports across diverse sectors. He manages consulting and market research projects centered on go-to-market strategy, opportunity analysis, competitive landscape, and market size estimation and forecasting. He also advises clients on identifying and targeting absolute opportunities to penetrate untapped markets.
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