Our Location Intelligence Data provides a detailed view of people’s movements across over 14 million physical locations worldwide. This aggregated and anonymized data is utilized to understand visit patterns and volumes at specific sites. Compiled from diverse global data sources, this information offers valuable context for analyzing foot traffic and location engagement.

Location Intelligence Data Reach

Our Location Intelligence Data delivers in-depth insights into Points of Interest (POIs), places, and Out-of-Home (OOH) advertising locations.By leveraging Factori's Mobility & People Graph data, which integrates information from numerous sources globally, we provide accurate foot-traffic attribution. For instance, to calculate foot traffic at a specific location, we combine attributes such as location ID, day of the week, and time of day, generating up to 40 distinct data records for each POI.

Data Export Methodology

We dynamically gather and update data, delivering the most current insights through methods tailored to your needs, whether daily, weekly, or monthly.

Use Cases

Our Location Intelligence Data is essential for credit scoring, retail analytics, market intelligence, and urban planning, offering businesses and organizations critical insights for strategic decision-making and planning.

AI in Location Intelligence Market Outlook

According to our latest research, the AI in Location Intelligence market size reached USD 6.8 billion in 2024 and is projected to grow at a robust CAGR of 21.4% from 2025 to 2033. By the end of the forecast period, the market is expected to achieve a value of approximately USD 53.7 billion in 2033, driven by rapid advancements in artificial intelligence, increasing adoption of geospatial analytics, and the growing demand for real-time data-driven decision-making across industries. The expansion of IoT devices and the proliferation of smart city initiatives globally are significant contributors to this impressive growth trajectory.

One of the primary growth factors propelling the AI in Location Intelligence market is the increasing integration of AI-powered analytics with geospatial data to enable businesses and governments to derive actionable insights. The convergence of AI and location data has revolutionized how organizations understand consumer behavior, optimize logistics, and enhance operational efficiency. With the explosion of connected devices and the availability of high-resolution spatial data, AI algorithms can now process vast datasets to identify patterns, predict trends, and automate decision-making processes. This capability is particularly beneficial in sectors such as retail, transportation, and urban planning, where real-time location insights can drive significant competitive advantages and cost savings.

Another critical factor fueling the market's growth is the rising need for advanced mapping and navigation solutions, especially in the era of autonomous vehicles and smart mobility services. AI-driven location intelligence platforms are being leveraged to deliver precise navigation, improve fleet management, and ensure safety in dynamic environments. The evolution of 5G networks and edge computing further enhances the ability to process and analyze location data at unprecedented speeds, supporting use cases like real-time asset tracking, dynamic route optimization, and geo-fencing. These technological advancements are accelerating the adoption of AI in Location Intelligence across both public and private sectors, as organizations seek to capitalize on the benefits of location-aware intelligence.

The market is also benefiting from the growing emphasis on customer experience management and personalized marketing. Businesses are increasingly utilizing AI-powered location intelligence to understand customer journeys, segment audiences, and deliver hyper-localized offers. This trend is particularly prominent in the retail and hospitality industries, where location-based insights enable targeted advertising, footfall analysis, and demand forecasting. The ability to integrate location intelligence with other enterprise systems, such as CRM and ERP, further amplifies its value proposition, allowing organizations to create seamless, context-aware experiences for their customers while optimizing resource allocation and operational workflows.

From a regional perspective, North America continues to dominate the AI in Location Intelligence market, accounting for the largest share due to the early adoption of advanced technologies, strong presence of leading solution providers, and significant investments in smart infrastructure projects. Europe follows closely, driven by regulatory support for digital transformation and the expansion of smart city initiatives. The Asia Pacific region is emerging as the fastest-growing market, fueled by rapid urbanization, increasing smartphone penetration, and government initiatives aimed at leveraging AI for urban planning and disaster management. Meanwhile, Latin America and the Middle East & Africa are gradually embracing AI-driven location intelligence, supported by investments in digital infrastructure and growing awareness of its strategic benefits.

Component Analysis

The AI in Location Intelligence market is segmented by component into software, services, and hardware, each playing a pivotal role in the ecosystem. The software segment, which includes advanced analytics platforms, geospatial data processing tools, and AI-powered visualization solutions, currently accounts for the largest market share. The increasing demand for sophisticated location-based analytics and the need to process massive volumes of spatial data are driving the adoption of software solutions across industries. These platforms enable organizations to integrate AI algorithms with geospatial datasets,

Explore Market Research Intellect's Location Intelligence Analytics Market Report, valued at USD 5.2 billion in 2024, with a projected market growth to USD 12.8 billion by 2033, and a CAGR of 10.5% from 2026 to 2033.

Mobile Mapping Market was valued at $27.98 Bn in 2023, and is projected to reach $USD 98.45 Bn by 2032, at a CAGR of 15.00% from 2023 to 2032.

The Cell Phone Mobile Location Tracking App market has emerged as a pivotal sector in the digital age, leveraging advanced technologies to provide users with precise location data for a myriad of applications. As more individuals and businesses recognize the value of real-time location information, the demand for mo

The report covers US Location Analytics Industry Top Players, US Location Analytics Industry Growth, US Location Analytics Industry Revenue, US Location Analytics Industry Analysis, Cloud Services Market.

Indoor Location Market size was valued at USD 13,630 Million in 2024 and is projected to reach USD 69,520 Million by 2032, growing at a CAGR of 23.3% from 2025 to 2032.The increasing integration of smart buildings and Internet of Things (IoT) systems is revolutionizing the management, optimization, and overall experience of indoor environments. This transformation is evident across various sectors, including commercial real estate, healthcare, education, manufacturing, and logistics. Smart buildings are characterized by their interconnected devices and sophisticated systems, which collect, analyze, and respond to data in real time. This leads to enhanced energy efficiency, improved comfort for occupants, and the availability of advanced services such as predictive maintenance and indoor positioning. A report from Verfied Markets projects that the global Smart Building Market size was valued at USD 103.16 Billion in 2024 and is projected to reach USD 239.45 Billion By 2031, growing at a CAGR of 11.10% from 2024 to 2031.

Envestnet®| Yodlee®'s Retail Transaction Data (Aggregate/Row) Panels consist of de-identified, near-real time (T+1) USA credit/debit/ACH transaction level data – offering a wide view of the consumer activity ecosystem. The underlying data is sourced from end users leveraging the aggregation portion of the Envestnet®| Yodlee®'s financial technology platform.

Envestnet | Yodlee Consumer Panels (Aggregate/Row) include data relating to millions of transactions, including ticket size and merchant location. The dataset includes de-identified credit/debit card and bank transactions (such as a payroll deposit, account transfer, or mortgage payment). Our coverage offers insights into areas such as consumer, TMT, energy, REITs, internet, utilities, ecommerce, MBS, CMBS, equities, credit, commodities, FX, and corporate activity. We apply rigorous data science practices to deliver key KPIs daily that are focused, relevant, and ready to put into production.

We offer free trials. Our team is available to provide support for loading, validation, sample scripts, or other services you may need to generate insights from our data.

Investors, corporate researchers, and corporates can use our data to answer some key business questions such as: - How much are consumers spending with specific merchants/brands and how is that changing over time? - Is the share of consumer spend at a specific merchant increasing or decreasing? - How are consumers reacting to new products or services launched by merchants? - For loyal customers, how is the share of spend changing over time? - What is the company’s market share in a region for similar customers? - Is the company’s loyal user base increasing or decreasing? - Is the lifetime customer value increasing or decreasing?

Additional Use Cases: - Use spending data to analyze sales/revenue broadly (sector-wide) or granular (company-specific). Historically, our tracked consumer spend has correlated above 85% with company-reported data from thousands of firms. Users can sort and filter by many metrics and KPIs, such as sales and transaction growth rates and online or offline transactions, as well as view customer behavior within a geographic market at a state or city level. - Reveal cohort consumer behavior to decipher long-term behavioral consumer spending shifts. Measure market share, wallet share, loyalty, consumer lifetime value, retention, demographics, and more.) - Study the effects of inflation rates via such metrics as increased total spend, ticket size, and number of transactions. - Seek out alpha-generating signals or manage your business strategically with essential, aggregated transaction and spending data analytics.

Use Cases Categories (Our data provides an innumerable amount of use cases, and we look forward to working with new ones): 1. Market Research: Company Analysis, Company Valuation, Competitive Intelligence, Competitor Analysis, Competitor Analytics, Competitor Insights, Customer Data Enrichment, Customer Data Insights, Customer Data Intelligence, Demand Forecasting, Ecommerce Intelligence, Employee Pay Strategy, Employment Analytics, Job Income Analysis, Job Market Pricing, Marketing, Marketing Data Enrichment, Marketing Intelligence, Marketing Strategy, Payment History Analytics, Price Analysis, Pricing Analytics, Retail, Retail Analytics, Retail Intelligence, Retail POS Data Analysis, and Salary Benchmarking

1. Investment Research: Financial Services, Hedge Funds, Investing, Mergers & Acquisitions (M&A), Stock Picking, Venture Capital (VC)

2. Consumer Analysis: Consumer Data Enrichment, Consumer Intelligence

3. Market Data: AnalyticsB2C Data Enrichment, Bank Data Enrichment, Behavioral Analytics, Benchmarking, Customer Insights, Customer Intelligence, Data Enhancement, Data Enrichment, Data Intelligence, Data Modeling, Ecommerce Analysis, Ecommerce Data Enrichment, Economic Analysis, Financial Data Enrichment, Financial Intelligence, Local Economic Forecasting, Location-based Analytics, Market Analysis, Market Analytics, Market Intelligence, Market Potential Analysis, Market Research, Market Share Analysis, Sales, Sales Data Enrichment, Sales Enablement, Sales Insights, Sales Intelligence, Spending Analytics, Stock Market Predictions, and Trend Analysis

The Indoor & Outdoor Positioning Service (IPS & OPS) market is rapidly evolving, driven by the increasing demand for precise location-based services across various industries. These services leverage advanced technologies such as GPS, Wi-Fi, and Bluetooth beacons to enhance navigation experiences in both indoor and

Comprehensive dataset of 12 Sports activity locations in Idaho, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Comprehensive dataset of 7 Sports activity locations in Alaska, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Global Location Analytics Software market size 2025 was XX Million. Location Analytics Software Industry compound annual growth rate (CAGR) will be XX% from 2025 till 2033.

Location Based Advertising Market Outlook

According to our latest research, the Location Based Advertising (LBA) market size reached USD 92.3 billion in 2024, driven by the increasing adoption of mobile devices and advancements in location intelligence technologies. The market is set to expand at a robust CAGR of 13.7% from 2025 to 2033, with the forecasted market size expected to reach USD 266.9 billion by 2033. The surge in demand is primarily attributed to the growing need for personalized marketing, real-time consumer engagement, and the proliferation of location-enabled smartphones, which together are transforming the way brands interact with their target audiences.

The exponential growth of the Location Based Advertising market is largely underpinned by the rapid penetration of smartphones and other GPS-enabled devices across both developed and emerging economies. As consumers increasingly rely on mobile devices for navigation, shopping, and social interaction, advertisers are leveraging real-time location data to deliver hyper-targeted promotions and offers. This shift towards mobile-centric lifestyles has enabled businesses to harness the power of location intelligence, resulting in higher engagement rates and improved conversion metrics. Furthermore, advancements in geospatial analytics and the integration of artificial intelligence (AI) into LBA platforms have significantly enhanced the accuracy and relevance of location-based campaigns, making them more appealing to both marketers and end-users.

Another key growth factor for the Location Based Advertising market is the rising demand for personalized and contextually relevant content. Modern consumers expect brands to deliver tailored experiences that resonate with their immediate needs and preferences. LBA solutions empower businesses to segment audiences based on real-time location data, behavioral patterns, and demographic insights, thereby enabling the delivery of customized messages at the right time and place. This level of personalization not only fosters brand loyalty but also drives higher return on investment (ROI) for advertisers. Additionally, the adoption of omnichannel marketing strategies—wherein LBA is integrated with social media, mobile apps, and digital out-of-home advertising—has further amplified the effectiveness and reach of location-based campaigns.

The regulatory landscape and advancements in data privacy frameworks have also played a pivotal role in shaping the Location Based Advertising market. With increasing concerns over user data privacy and stringent regulations such as the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA), LBA solution providers are investing heavily in secure data collection, consent management, and anonymization technologies. These initiatives have not only helped build consumer trust but have also encouraged more businesses to adopt location-based marketing strategies. As a result, the market is witnessing a steady influx of investments aimed at developing privacy-centric LBA platforms that comply with regional and global data protection standards.

Regionally, North America continues to dominate the Location Based Advertising market, accounting for the largest share in 2024, thanks to its advanced digital infrastructure, high smartphone penetration, and a mature advertising ecosystem. However, Asia Pacific is emerging as the fastest-growing region, fueled by the rapid urbanization, expanding middle-class population, and increasing adoption of digital marketing practices across China, India, and Southeast Asia. Europe, with its strong emphasis on data privacy and robust regulatory frameworks, remains a key market for innovative and compliant LBA solutions. Meanwhile, Latin America and the Middle East & Africa are witnessing gradual adoption, supported by improving mobile connectivity and growing investments in digital transformation initiatives.

Component Analysis

The Location Based Advertising market is se

The AI Localization market is emerging as a critical component in the global landscape of digital content delivery, transcending geographical boundaries and catering to diverse cultural preferences. By leveraging artificial intelligence, businesses can optimize their localization strategies, ensuring that their prod

The geospatial data fusion market is experiencing robust growth, driven by increasing demand for location-based intelligence across diverse sectors. The convergence of various data sources, including satellite imagery, sensor data, and geographic information systems (GIS), is fueling the adoption of advanced geospatial analytics. This market is segmented by delivery model (SaaS, PaaS) and application (earth observation, computer vision, military & security, and others). The SaaS model currently holds a significant market share due to its scalability and accessibility, while the demand for earth observation and computer vision applications is rapidly expanding, propelled by advancements in AI and machine learning. Government initiatives focused on national security and infrastructure development are further boosting market growth. North America and Europe currently dominate the market, but the Asia-Pacific region is projected to witness the fastest growth in the coming years due to rising investments in infrastructure and technological advancements. Competitive dynamics are characterized by a mix of established GIS vendors and specialized geospatial data fusion companies. Future growth will be influenced by factors such as increased data volumes, technological advancements in data processing and analytics, and ongoing investments in research and development. While precise figures are not provided, assuming a moderate CAGR (let's estimate at 15% for illustrative purposes), and a 2025 market size of $5 billion (a reasonable estimate considering the mentioned companies and applications), the market is poised for significant expansion. The restraints on market growth are likely associated with high initial investment costs for implementation, the need for skilled professionals to interpret the fused data, and concerns regarding data security and privacy. However, these challenges are gradually being addressed through the development of user-friendly software and robust data security protocols. The market's trajectory suggests a continuous upward trend, with growth significantly influenced by the adoption of innovative geospatial technologies and increased government and private sector investment.

The Global Location-Based Entertainment Market is Segmented By Type (Hardware, Software), By Application (Arcade, Theme Parks, Cinemas), and Geography.

The Location Based Marketing Services (LBMS) market is experiencing robust growth, projected to reach $48.06 billion in 2025 and exhibiting a Compound Annual Growth Rate (CAGR) of 16.5% from 2025 to 2033. This expansion is driven by several factors. The increasing adoption of smartphones and the proliferation of location-based technologies, such as GPS and Bluetooth beacons, provide marketers with unprecedented opportunities to reach consumers precisely where they are. Furthermore, advancements in data analytics allow for more effective targeting and personalized campaigns, maximizing return on investment (ROI). The growing sophistication of location data coupled with the increasing use of artificial intelligence (AI) for predictive analysis further fuels this market’s ascent. Retail, hospitality, and BFSI (Banking, Financial Services, and Insurance) sectors are currently major adopters, utilizing LBMS for targeted advertising, customer loyalty programs, and proximity-based promotions. However, growth is anticipated across various sectors as businesses increasingly recognize the value of connecting with customers in contextually relevant ways. The diverse range of LBMS channels – including banner displays, video ads, search results integration, email and SMS marketing, social media content, and even voice calling – allows for versatile and tailored marketing strategies. The diverse application of LBMS across sectors indicates its versatility. While North America and Europe currently hold significant market share, the Asia-Pacific region is poised for substantial growth due to increasing smartphone penetration and digital adoption. Challenges remain, including concerns around data privacy and user consent, which need to be addressed responsibly. However, with ongoing technological advancements and the continuous refinement of targeting techniques, LBMS is expected to remain a dominant force in the marketing landscape for the foreseeable future. The increasing emphasis on measurable results and a deeper understanding of consumer behavior will further propel market expansion. The competitive landscape is also dynamic, with established tech giants alongside specialized LBMS providers competing for market share, driving innovation and the improvement of service offerings.

Mobility/Location data is gathered from location-aware mobile apps using an SDK-based implementation. All users explicitly consent to allow location data sharing using a clear opt-in process for our use cases and are given clear opt-out options. Factori ingests, cleans, validates, and exports all location data signals to ensure only the highest quality of data is made available for analysis.

Record Count:90 Billion+ Capturing Frequency: Once per Event Delivering Frequency: Once per Day Updated: Daily

Mobility Data Reach: Our data reach represents the total number of counts available within various categories and comprises attributes such as country location, MAU, DAU & Monthly Location Pings.

Data Export Methodology: Since we collect data dynamically, we provide the most updated data and insights via a best-suited interval (daily/weekly/monthly/quarterly).

Business Needs: Consumer Insight: Gain a comprehensive 360-degree perspective of the customer to spot behavioral changes, analyze trends and predict business outcomes. Market Intelligence: Study various market areas, the proximity of points or interests, and the competitive landscape. Advertising: Create campaigns and customize your messaging depending on your target audience's online and offline activity. Retail Analytics Analyze footfall trends in various locations and gain understanding of customer personas.

Here's the data attributes: maid latitude longtitude horizontal_accuracy timestamp id_type ipv4 ipv6 user_agent country state_hasc city_hasc hex8 hex9 carrier

The Industrial Bluetooth Location Beacon market is rapidly emerging as a vital technology facilitating real-time asset tracking and improved operational efficiency across various sectors, including manufacturing, logistics, and hospitality. These beacons utilize Bluetooth Low Energy (BLE) technology to provide preci

Comprehensive dataset of 155 Sports activity locations in Taiwan as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.