Location Analytics Market

Market Overview:

The global location analytics market size reached USD 27.0 Billion in 2024. Looking forward, IMARC Group expects the market to reach USD 88.4 Billion by 2033, exhibiting a growth rate (CAGR) of 13.67% during 2025-2033. North America currently dominates the market because of the widespread adoption of advanced technologies. The rising demand for real-time location tracking to optimize supply chain operations, increasing integration of Internet of Things (IoT) devices in various industries, and the advent and gradual commercialization of autonomous vehicles represent some of the factors that are propelling the market.

Market Size & Forecasts:

• Location analytics market was valued at USD 27.0 Billion in 2024.
• The market is projected to reach USD 88.4 Billion by 2033, at a CAGR of 13.67% from 2025-2033.

Dominant Segments:

• Component: Software holds the biggest market share as businesses depend on robust tools for data visualization, mapping, and predictive modeling. Adaptable, easy-to-use software tools assist organizations in converting unrefined location data into practical insights, fostering improved decisions in marketing, supply chain, urban planning, and asset management.
• Deployment Mode: Cloud-based deployment dominates the location analytics market due to its scalability, reduced initial expenses, and remote accessibility. Organizations favor cloud solutions for managing substantial data quantities without significant infrastructure expenditures. Quicker updates, teamwork, and seamless integration with additional cloud services enhance adoption in multiple sectors.
• Location Type: Outdoor accounts for the largest market share because businesses utilize it to monitor assets, oversee fleets, and analyze individual movement trends in public areas. Sectors such as retail, transportation, and logistics depend on outdoor data for route optimization, location choice, and precise marketing, creating consistent demand for solutions focused on outdoor conditions.
• Application: Remote monitoring tracks assets, vehicles, or people in real time to ensure safety, efficiency, and compliance. Sales and marketing optimization uses location data to target clients, plan promotions, and choose store sites more effectively. Asset management oversees physical resources by tracking their locations and conditions to reduce loss and maintenance costs. Risk management analyzes location data to identify and mitigate threats like natural disasters, theft, or operational disruptions. Facility management improves building operations by analyzing foot traffic, space usage, and maintenance needs. Others cover specialized uses like urban planning, environmental monitoring, or public safety applications.
• End Use Industry: Retail and consumer goods represent the largest segment as brands rely on location data to comprehend shopper behavior, select store locations, and strategize promotions. Examining foot traffic, regional demand, and competitor activity enables businesses to increase sales, enhance client experiences, and maintain a competitive advantage in challenging markets.
• Region: North America leads the market because of robust technological infrastructure, significant investment in innovation, and the existence of top analytics firms. Businesses in industries, such as retail, transportation, and logistics, are increasingly using data-driven solutions to acquire location-specific insights, enhance decision-making, and swiftly adapt to evolving client demands.

 Key Players:

• The leading companies in location analytics market include Cisco Spaces, Esri, Galigeo, GeoMoby, Google LLC, HERE Technologies, INRIX, Inc, Lepton Software, Precisely, SAP SE, SAS Institute Inc., and TomTom International BV.

Key Drivers of Market Growth:

• Digital Transformation with Location: Increasing need for data-informed approaches is driving the expansion of location analytics. Organizations leverage real-time geospatial information to comprehend movement trends, inform choices, and enhance service planning. Tools that protect privacy guarantee safe, scalable data usage, making location intelligence crucial for digital transformation in various industries.
• Cloud-Based Location Data Management: Cloud platforms are transforming the way organizations handle extensive location data, providing the speed, flexibility, and scalability that traditional on-premise systems do not offer. Cloud-based solutions facilitate quicker implementation, smooth integration, and reduced expenses, while ensuring secure, AI-powered analysis, making location analytics more attainable for companies of any size.
• Geospatial Data Enhances Underwriting: Precise geospatial data enhances risk evaluation and underwriting by combining various data sources with predictive analytics. This improves pricing precision, simplifies claims, and aids in superior risk management, promoting uptake in insurance and various industries pursuing more accurate, data-informed decision-making and automation.
• Real-Time Insights for Operations:  Real-time location analysis allows companies to track assets, supply chains, and customer flow immediately, facilitating quicker reactions to disruptions or shifts in demand. This immediacy streamlines workflows, boosts user service, and mitigates risk, rendering live geospatial insights vital for data-driven activities across various sectors.
• Rise of Smart Cities: The growth of smart city initiatives and urban planning is catalyzing the demand for location analytics. Governments use geospatial data to optimize infrastructure, manage resources efficiently, and enhance public services, making cities more sustainable, responsive, and livable through informed, data-driven decision-making.
• Optimizing Logistics with Location Data: Transport and logistics companies employ location analytics to enhance delivery paths, lower fuel expenses, and avoid delays. Tracking in real-time and maintenance forecasting enhance fleet effectiveness, while pinpointing supply chain challenges improves resource allocation, reduces expense, speeds up deliveries, and increases client satisfaction.

Future Outlook:

• Strong Growth Outlook: The location analytics market is set for strong growth driven by rising demand for real-time data, smart city projects, and expanding use of IoT devices. Companies see clear value in location insights for better planning, client engagement, and resource optimization across industries worldwide.
• Market Evolution: The location analytics market is evolving fast as businesses shift from static maps to real-time, AI-powered insights. Advances in global positioning systems (GPS), mobile tech, and cloud computing encourage wider adoption. Organizations now use location data for strategic decisions, predictive modeling, and personalized customer experiences across sectors.

Location Analytics Market Trends:

Focus on Data-Driven Business Strategy and Digital Transformation

The increasing emphasis on utilizing location intelligence as a foundation for data-driven strategies and digital transformation is impelling the market growth. Organizations prefer to make decisions grounded in tangible, real-time evidence rather than relying on assumptions, and location data provides this by showing where individuals travel, congregate, and engage. This intelligence informs business strategies, aids companies in grasping demand fluctuations, and assists city planners in creating improved services. Privacy-preserving analytics also guarantee that insights can be securely shared on a large scale. A distinct indicator of this trend is Ooredoo’s collaboration with Qatar’s Ministry of Communications and Information Technology, resulting in the debut of Ooredoo Flow in 2024. Utilizing the TASMU Platform, this tool leveraged anonymized, aggregated information from more than 4.3 million devices to provide real-time insights that inform better urban planning and more effective business strategies. These extensive, privacy-oriented initiatives emphasize the importance of location analytics for digital advancement.

Advances in Cloud Computing and Big Data Technologies

The expansion of cloud services and expandable data storage is changing how businesses manage large location datasets. Conventional on-site systems face challenges in delivering the speed and adaptability that contemporary enterprises need, whereas cloud solutions facilitate the collection, storage, and processing of large-scale geospatial data from diverse sources. Cloud-based location analytics solutions enable quick implementation, seamless collaboration, and economical scaling as data requirements grow. Collaboration with other business systems becomes easier when all components operate on compatible cloud infrastructure. This advantage draws organizations aiming to update operations without significant initial costs for hardware or IT upkeep. Robust security, ongoing updates, and backing for AI-powered analysis enhance the attractiveness of cloud-based platforms. This transition towards cloud-first approaches guarantees that location analytics stays available and flexible, promoting use among both major corporations and smaller businesses seeking advanced insights with minimal costs.

Improving Risk Assessment and Insurance Underwriting

The growing utilization of accurate geospatial data to enhance risk evaluation and underwriting, particularly in the insurance industry, is positively influencing the market. Insurers encounter increasing difficulties due to erratic weather patterns, shifting city environments, and developing property hazards. Conventional models frequently struggle to forecast intricate exposures; however, enhanced location intelligence bridges that void by integrating various data sources with predictive analytics. This aids insurers in establishing more equitable premiums, streamlining processes, and handling claims with greater precision. The introduction of Location Intelligence for Commercial by LexisNexis Risk Solutions in 2025 demonstrates the strength of this method. The tool enhances the evaluation of risk for US commercial properties by providing over 20 times the predictive accuracy of previous methods, allowing insurers to gain a clearer insight into weather-related risks and adjust coverage as needed. By seamlessly integrating into routine processes, it increases automation, improves transparency, and aids clients in reducing potential losses, promoting wider acceptance of location analytics.

Location Analytics Market Growth Drivers:

Increasing Demand for Real-Time Location Intelligence

Companies today anticipate instant insights to manage changing circumstances, enhance daily processes, and provide more agile client support. Real-time location analysis enables organizations to monitor moving assets, oversee supply chain operations, and analyze foot traffic trends instantly without relying on delayed reports. This degree of immediate awareness enables teams to respond rapidly to crises, equipment problems, or unexpected surges in demand. With industries increasingly depending on data-driven processes, possessing real-time, accurate location data is essential for informed decision-making and minimizing risks. Logistics, retail, transport, and manufacturing companies consider real-time location tracking an essential requirement rather than just an additional feature. This intense emphasis on quick, usable data maintains high demand for sophisticated location analytics. In 2025, Dataminr and Esri strengthened their collaboration to integrate real-time AI event detection with Esri’s ArcGIS, enhancing crisis response, situational awareness, and public safety via a single cohesive location intelligence platform.

Rise of Smart Cities Initiatives and Urban Planning

The rapid expansion of smart city projects and modern urban planning needs are bolstering the market growth. In 2024, India sanctioned 12 new smart industrial cities as part of the National Industrial Corridor Development Programme (NICDP), supported by a US$3.41 billion investment. Location analytics are extensively used by governments and urban planners to create cities that are more efficient, sustainable, and attentive to the needs of residents. By utilizing advanced location data, planners can optimize and manage traffic flows to minimize congestion and pollution, enhance the efficiency of waste collection routes, and improve emergency response by rapidly identifying incidents. Location analytics aids in more intelligent infrastructure development, assisting cities in designing road networks, public transportation systems, and utilities according to real usage trends and demographic expansion. Assessing air quality, noise pollution, and various environmental elements similarly relies on accurate geospatial information. Through enhancing public safety, optimizing resource management, and elevating quality of life, location analytics is emerging as a crucial component of global smart city investments.

Optimization of Logistics and Supply Chain Management

Businesses in transport, distribution, and storage depend on location information to optimize delivery paths, reduce fuel expenses, and prevent delays. Real-time fleet monitoring provides managers with a clear understanding of vehicle locations, enabling them to modify schedules immediately and meet strict delivery deadlines. Predictive maintenance driven by location data ensures vehicles remain in optimal condition, avoiding failures and costly repairs. Location analytics reveals obstacles that hinder the supply chain, whether at ports, storage facilities, or on crowded roadways. Through optimizing routes, enhancing resource distribution, and accelerating delivery times, companies experience notable cost reductions and increased client satisfaction. As global demand for quicker, more dependable shipping grows, location analytics is becoming crucial for maintaining competitive and robust logistics and supply chain networks.

Location Analytics Industry Segmentation:

IMARC Group provides an analysis of the key trends in each segment of the global location analytics market report, along with forecasts at the global, regional, and country levels for 2025-2033. Our report has categorized the market based on component, deployment mode, location type, application and end use industry.

Breakup by Component:

• Software
• Services

Software represents the largest market segment

The report has provided a detailed breakup and analysis of the market based on the component. This includes software and services. According to the report, software represented the largest segment.

The software segment of the market is experiencing growth, propelled by the rising need for data visualization and real-time analytics. Companies increasingly rely on location-based data to make informed decisions, leading to the adoption of specialized software solutions. Furthermore, the software simplifies complex data sets, making them accessible for businesses of all sizes. The growing importance of geospatial data in various sectors like retail, healthcare, and logistics also contributes to this segment's growth. Finally, advancements in Artificial Intelligence (AI) and Machine Learning (ML) are enhancing software capabilities, making them more adaptive and predictive.

On the other hand, the growing need for specialized skills in analytics, coupled with the rise in cloud-based solutions, is propelling the services segment. Companies are increasingly outsourcing tasks like data analysis, maintenance, and training to third-party vendors. This is particularly beneficial for small and medium enterprises (SMEs) that may lack the in-house capabilities for handling complex analytics. The evolving nature of analytics technology also means that businesses are seeking specialized services to keep up with industry standards.

Breakup by Deployment Mode:

• On-premises
• Cloud-based

Cloud-based accounts for the majority of the market share

The report has provided a detailed breakup and analysis of the market based on the deployment mode. This includes on-premises and cloud-based. According to the report, cloud-based represented the largest segment.

The cloud-based segment is growing due to its scalable and flexible nature, allowing companies to adapt to market changes swiftly. Reduced infrastructure costs and streamlined operations contribute to its popularity. Businesses are leveraging cloud-based location analytics to facilitate remote working conditions and to better align with digital transformation strategies. The ability to integrate with other cloud services and platforms is another driving factor. Ease of deployment and maintenance also make cloud-based solutions increasingly appealing to enterprises.

On the other hand, data security concerns, regulatory compliance, and the need for customized solutions are the driving factors for the on-premises segment. Companies that handle sensitive data or are part of regulated industries often opt for on-premises solutions. This offers them greater control over their data, enabling customization and internal oversight. In-house analytics solutions are seen as more secure and compliant with stringent regulations, thus bolstering this segment.

Breakup by Location Type:

• Indoor
• Outdoor

Outdoor represents the largest market segment

The report has provided a detailed breakup and analysis of the market based on the location type. This includes indoor and outdoor. According to the report, outdoor represented the largest segment.

The outdoor segment is driven by the escalating use of mobile devices and Internet of Things (IoT) technologies. This enables businesses to capture a plethora of data from outdoor environments, from traffic patterns to consumer behavior. Urban planning and public safety sectors are increasingly using location analytics to optimize services and operations. Tourism and hospitality industries are also key players, utilizing outdoor analytics to enhance visitor experiences. Commercial applications, such as targeted advertising based on geographical location, further contribute to the growth of this segment.

On the other hand, the expansion of indoor location-based services such as in-store navigation, asset tracking, and proximity marketing drives the indoor segment. The adoption of technologies like Bluetooth, Wi-Fi, and RFID for precise indoor positioning is also influencing growth. Businesses in retail, healthcare, and logistics find these services indispensable for enhancing user experience and operational efficiency. Indoor malls, airports, and large public facilities are also adopting these technologies for seamless operations and enhanced customer engagement.

Breakup by Application:

• Remote Monitoring
• Sales and Marketing Optimization
• Asset Management
• Risk Management
• Facility Management
• Others

The report has provided a detailed breakup and analysis of the market based on the application. This includes remote monitoring, sales and marketing optimization, asset management, risk management, facility management, and others.

Increased demand for real-time data analytics, the proliferation of connected devices, and advancements in IoT technologies are driving the growth in the remote monitoring segment. The desire for improved operational efficiency and preventive maintenance has led businesses to adopt remote monitoring solutions. Heightened security concerns also contribute to this trend, as businesses aim to monitor assets and operations 24/7. The rise in smart cities and smart infrastructure further fuels the adoption of remote monitoring.

On the other hand, the need for consumer behavior insights, real-time analytics, and competitive intelligence is propelling the sales and marketing optimization segment. The use of location analytics in this field helps organizations in customer segmentation, targeted advertising, and location-based promotions.

Also, businesses are increasingly focusing on real-time asset tracking, efficient utilization, and cost reduction, which are the key drivers for the asset management segment. As global operations and supply chains become more complex, the need for centralized asset management has grown exponentially. Integration with existing ERP and CMMS systems and advancements in cloud computing are also supporting this trend.

Besides this, regulatory compliance, data security, and predictive analytics for unforeseen risks are the leading factors driving the risk management segment. As industries become more regulated and interconnected, the need for a robust risk management framework equipped with location analytics is vital.

Moreover, the growth in smart building technologies, energy efficiency requirements, and regulatory compliance are key drivers in the facility management segment. Location analytics enable organizations to monitor and manage various aspects of a facility like energy usage, space utilization, and safety protocols.

Breakup by End Use Industry:

• BFSI
• Healthcare
• Hospitality
• Government
• Transport and Logistic
• IT and Telecom
• Retail and Consumer Goods
• Media and Entertainment
• Others

Retail and Consumer Goods represents the largest market segment

The report has provided a detailed breakup and analysis of the market based on the end use industry. This includes BFSI, healthcare, hospitality, government, transport and logistic, IT and telecom, retail and consumer goods, media and entertainment, and others. According to the report, retail and consumer goods represented the largest segment.

For the retail and consumer goods segment, location analytics provide invaluable insights into consumer behavior and preferences. This, in turn, helps retailers to optimize store layouts, manage inventories, and improve supply chain efficiency. Geo-fencing and proximity marketing are growing trends that rely on location analytics to send targeted promotions to consumers in specific areas. These technologies are enhancing customer engagement and contributing to higher sales volumes. The integration of online and offline data is another driver, offering a more comprehensive view of the consumer journey.

On the other hand, the market is experiencing notable growth across various sectors such as BFSI, healthcare, hospitality, government, transport and logistics, IT and telecom, as well as media and entertainment. One of the primary factors driving this growth is the increasing need for real-time data analytics to improve operational efficiency and customer experience. For instance, in the BFSI sector, location analytics can help in fraud detection by analyzing transaction locations, while in healthcare, it is used for resource allocation and patient care. The advent of advanced technologies like the Internet of Things (IoT), Big Data, and artificial intelligence (AI) has further augmented the demand, allowing businesses in these sectors to leverage spatial and geographical data for various applications ranging from market segmentation to risk assessment.

Breakup by Region:

• North America
  • United States
  • Canada
• Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Australia
  • Indonesia
  • Others
• Europe
  • Germany
  • France
  • United Kingdom
  • Italy
  • Spain
  • Russia
  • Others
• Latin America
  • Brazil
  • Mexico
  • Others
• Middle East and Africa

North America exhibits a clear dominance, accounting for the largest location analytics market share

The market research report has also provided a comprehensive analysis of all the major regional markets, which include North America (the United States and Canada); Asia Pacific (China, Japan, India, South Korea, Australia, Indonesia, and others); Europe (Germany, France, the United Kingdom, Italy, Spain, Russia, and others); Latin America (Brazil, Mexico, and others); and the Middle East and Africa. According to the report, North America accounted for the largest market share.

In North America, the growth of the market is propelled by the early adoption of technological advancements which gives the region a competitive edge. This advantage is further bolstered by a robust infrastructure that enables rapid implementation of location-based solutions. An expanding ecosystem of key industry players stimulates innovation and market expansion. High consumer expectations for personalized experiences encourage businesses to incorporate advanced analytics solutions.

The growth is also fueled by extensive research and development (R&D) activities, propelling the boundaries of what can be achieved with location analytics. Stringent data privacy regulations serve as a driving force, compelling businesses to opt for secure and compliant solutions. These regulations also act as market differentiators. Furthermore, the growing interest in developing smart cities is resulting in a higher utilization of location analytics, especially in urban planning and public service sectors.

Competitive Landscape:

Key players in the global market are actively investing in research and development to create cutting-edge solutions. These market leaders are also forming strategic alliances and partnerships to extend their product offerings and geographic reach. Mergers and acquisitions are being employed to consolidate market positions and acquire new technologies. To ensure scalability and performance, companies are adopting cloud-based solutions, and integrating them with existing enterprise systems. Further, they are working on enhancing data security measures to comply with regulatory standards. To build a sustainable market presence, the key players are actively engaging with customers through robust after-sales support and training programs. Businesses are also providing free trials and proofs of concept to potential clients, thereby reducing the adoption barriers.

The report has provided a comprehensive analysis of the competitive landscape in the market. Detailed profiles of all major companies have also been provided. Some of the key players in the market include:

• Cisco Spaces
• Esri
• Galigeo
• GeoMoby
• Google LLC
• HERE Technologies
• INRIX, Inc
• Lepton Software
• Precisely
• SAP SE
• SAS Institute Inc.
• TomTom International BV.

Recent Developments:

• In June 2025, dataplor announced a $20.5M Series B funding round led by F-Prime to scale its global location intelligence solutions. The funding will expand POI coverage, enhance mobility data products, and support enterprise customers globally. dataplor now maps over 350 million POIs across 250+ countries with a privacy-first approach.
• In October 2024, CoreLogic launched Araya, an AI-powered property and location intelligence platform that integrates detailed property, market, and risk data. Araya combines CoreLogic’s vast datasets with predictive models to support real estate and facility decision-making. Key features include climate risk analytics, property valuations, and growth indicators for strategic expansion.
• In February 2024, Kalibrate launched Kalibrate Location Intelligence (KLI) 2.0, a major upgrade featuring a modern UI and enhanced analytics tools. The platform integrated features from TAS, Trailblazer, and SiteIntel for a streamlined, all-in-one solution. KLI 2.0 empowered retail decision-makers with custom models, real-time data sync, and competitive mobile insights.
• In August 2023, Alteryx, Inc. announced that it is expanding its partnership with Google Cloud to provide Looker Studio users with native access to a free limited version of Alteryx Designer Cloud's AI-powered data preparation capabilities and enhanced connectivity. This new integration builds on Alteryx and Google Cloud's commitment to make it easier for customers to surface critical insights for decision-makers in a timely manner, resulting in actions that can improve business outcomes.
• In August 2023, Cisco Systems Inc. announced a global strategic partnership with Nutanix, Inc., a leader in hybrid multicloud computing, to accelerate hybrid multicloud deployments by offering the industry’s most complete hyperconverged solution for IT modernization and business transformation.
• In July 2023, Esri, in partnership with Impact Observatory, released a global land-use/land-cover map of the world based on the most up to date 10-meter Sentinel-2 satellite data for every year since 2017. Following the latest 2022 data released earlier, the artificial intelligence (AI) model for classification has been improved, making the maps more temporally consistent.

Location Analytics Market Report Scope:

Key Benefits for Stakeholders:

• IMARC’s industry report offers a comprehensive quantitative analysis of various market segments, historical and current market trends, market forecasts, and dynamics of the location analytics market from 2019-2033.
• The research report provides the latest information on the market drivers, challenges, and opportunities in the global location analytics market.
• The study maps the leading, as well as the fastest-growing, regional markets. It further enables stakeholders to identify the key country-level markets within each region.
• Porter's five forces analysis assist stakeholders in assessing the impact of new entrants, competitive rivalry, supplier power, buyer power, and the threat of substitution. It helps stakeholders to analyze the level of competition within the location analytics industry and its attractiveness.
• Competitive landscape allows stakeholders to understand their competitive environment and provides an insight into the current positions of key players in the market.