At Echo, our dedication to data curation is unmatched; we focus on providing our clients with an in-depth picture of a physical location based on activity in and around a point of interest over time. Our dataset empowers you to explore the “what” by allowing you to dig deeper into customer movement behaviors, eliminate gaps in your trade area and discover untapped potential. Leverage Echo's Activity datasets to identify new growth opportunities and gain a competitive advantage.

This sample of our Area Activity data provides you insights into the estimated total unique visitors and visits in an area. This helps you understand frequentation dynamics over time, identify emerging trends in people movements and measure the impact of external factors on how people move across a city.

Additional Information: - Understand the actual movement patterns of consumers without using PII data, gaining a 360-degree consumer view. Complement your online behavior knowledge with actual offline actions, and better attribute intent based on real-world behaviors. - Echo collects, cleans and updates its footfall on a daily basis. Normalization of the data occurs on a monthly basis. - We provide data aggregation on a weekly, monthly and quarterly basis. - Information about our country offering and data schema can be found here:

1) Data Schema: https://docs.echo-analytics.com/activity/data-schema
2) Country Availability: https://docs.echo-analytics.com/activity/country-coverage
3) Methodology: https://docs.echo-analytics.com/activity/methodology

Echo's commitment to customer service is evident in our exceptional data quality and dedicated team, providing 360° support throughout your location intelligence journey. We handle the complex tasks to deliver analysis-ready datasets to you.

Business Needs: 1. Site Selection: Leverage footfall data to identify the best location to open a new store. By analyzing areas with high footfall you can select sites that are likely to attract more customers. 2. Urban Planning Development: City planners can use footfall data to optimize the layout and infrastructure of urban areas, guide the development of commercial areas by indicating where pedestrian traffic is heaviest, and aid in traffic management and safety measures. 3. Real Estate Investment: Leverage footfall data to identify lucrative investment opportunities and optimize property management by analyzing pedestrian traffic patterns.

Footfall in the centre of York from 2009 onwards. City of York Council is currently (Summer 2025) working with the 3rd party provider to improve the accuracy of the Parliament Street camera counts. Please note that until such work is completed, figures for this camera will be estimates generated by the vendor's software. As we have been informed that estimates over a period of time worsen, data for Parliament St will be suspended from publication from mid-July. Please note that the Micklegate cameras are still operational and footfall data is included in the files as usual. Data is updated every Tuesday. This dataset also includes a one-off summary of figures for the key streets in York Blake St, Davygate and Goodramgate in November and December 2024.

Locatus is a market leader in the field of independently sourced retail information in Europe. Locatus gathers its own data on all shops and consumer-oriented service companies and makes this information accessible for its clients through an online database.For over 20 years we count Footfall in a very structured manner, so different retail areas can be compared also in time. This footfall report gives you an insight into the footfall flow within a shopping area. How many visitors does an area have, where do they walk and when are they visiting? Because Locatus has a uniform approach to counting footfall for years, we are also able to identify changes over the years.This report provides you with reliable data regarding shopping area’s popularity, information indispensable for location decisions, market analyses, valuations and monitoring of shopping areas.

Discover the booming real-time footfall counting analysis system market. This in-depth analysis reveals a $368 million market in 2025, projected to grow at a 15.6% CAGR, driven by retail optimization, advanced analytics, and diverse applications. Explore key trends, technologies (IR beam, thermal imaging, video), and leading companies shaping this dynamic sector.

Weekly and monthly data showing retail footfall in the UK, split by location category and UK region. These are official statistics in development.

This foot traffic dataset provides GPS-based mobile movement signals from across South America. It is ideal for retailers, city agencies, advertisers, and real estate professionals seeking insights into how people move through physical locations and urban spaces.

Each record includes:

Device ID (IDFA or GAID) Timestamps (in milliseconds and readable format) GPS coordinates (lat/lon) Country code Horizontal accuracy (85%) Optional IP address, mobile carrier, and device model

Access the data via polygon queries (up to 10,000 tiles), and receive files in CSV, JSON, or Parquet, delivered hourly or daily via API, AWS S3, or Google Cloud. Data freshness is strong (95% delivered within 3 days), with full historical backfill available from September 2024.

This solution supports flexible credit-based pricing and is privacy-compliant under GDPR and CCPA.

Key Attributes:

Custom POI or polygon query capability Backfilled GPS traffic available across LATAM High-resolution movement with daily/hourly cadence GDPR/CCPA-aligned with opt-out handling Delivery via API or major cloud platforms

Use Cases:

Competitive benchmarking across malls or stores Transport and infrastructure planning Advertising attribution for outdoor/DOOH campaigns Footfall modeling for commercial leases City zoning, tourism, and planning investments Telecom & tower planning across developing corridors

Retail footfall saw a decrease of *** percent in September 2025 in the United Kingdom (UK), driven by shopping centers. Compared to the same month a year earlier, high streets saw a reduction in footfall of *** percent.

Echo’s Customer Journey dataset reveals where visitors go before and after visiting a specific POI — empowering brands with a dynamic view of consumer behavior.

Focused on the U.S. market, this GDPR-compliant, non-PII dataset uncovers brand and category visitation patterns around a location, helping businesses map influence zones, identify co-visited brands, and refine their location strategy.

Key data points include: - Pre- and post-visit brand/category behaviors - Customer journey paths linked to POIs - Weekly, monthly, and quarterly aggregations - Cleaned, normalized, non-PII mobility data - US coverage with real-world behavioral insights

Ideal for retail, real estate, and strategy teams aiming to optimize site selection, improve customer experience, and outsmart competition with movement-based intelligence.

Footfall Analytics AI Market Outlook

According to our latest research, the global Footfall Analytics AI market size reached USD 1.94 billion in 2024, demonstrating robust expansion fueled by the rapid adoption of AI-driven analytics across various industries. The market is expected to register a CAGR of 18.7% during the forecast period, with the market size projected to reach USD 9.49 billion by 2033. This growth is primarily attributed to the increasing demand for actionable, real-time insights into customer behavior, operational efficiency, and the optimization of physical spaces. The adoption of advanced AI-powered analytics tools is transforming how organizations across retail, transportation, healthcare, and other sectors leverage data to enhance customer experiences and drive strategic decisions.

A key growth factor for the Footfall Analytics AI market is the accelerating digital transformation across brick-and-mortar businesses. Retailers, shopping malls, and commercial complexes are increasingly investing in AI-powered footfall analytics to gain a deeper understanding of visitor patterns, dwell times, and conversion rates. The integration of AI with IoT devices, surveillance cameras, and sensor networks enables organizations to collect granular data on customer movement, which is then processed to deliver actionable insights. This data-driven approach empowers businesses to optimize store layouts, improve staffing efficiency, and tailor marketing strategies, ultimately enhancing customer satisfaction and driving revenue growth. The continuous evolution of AI algorithms further enhances the accuracy and predictive capabilities of footfall analytics solutions, making them indispensable tools in todayÂ’s competitive landscape.

Another significant driver is the growing emphasis on operational efficiency and safety in high-traffic environments such as airports, stadiums, and transportation hubs. With the increasing complexity of managing large crowds and ensuring compliance with safety regulations, organizations are turning to AI-based footfall analytics to monitor real-time occupancy levels, identify congestion points, and streamline crowd management. In healthcare settings, these solutions are instrumental in optimizing patient flow, reducing wait times, and ensuring compliance with social distancing norms. The COVID-19 pandemic further accelerated the adoption of footfall analytics AI, as organizations sought to monitor occupancy and enforce health protocols. As businesses continue to prioritize safety and efficiency, the demand for advanced footfall analytics solutions is expected to remain strong.

The proliferation of cloud computing and advancements in edge AI technologies are also propelling the market forward. Cloud-based deployment models offer scalability, flexibility, and cost-effectiveness, enabling organizations of all sizes to access sophisticated analytics capabilities without significant upfront investments in hardware infrastructure. Meanwhile, edge AI facilitates real-time data processing at the source, reducing latency and enabling instant insights for time-sensitive applications. These technological advancements are lowering the barriers to entry for small and medium-sized enterprises (SMEs), expanding the addressable market for footfall analytics AI solutions. Furthermore, the integration of advanced features such as facial recognition, demographic analysis, and predictive modeling is enhancing the value proposition of these solutions across diverse end-user segments.

In the realm of safety and compliance, Helmet Detection Analytics is gaining traction as an essential tool for industries where protective gear is mandatory. This technology leverages AI to automatically detect whether individuals in high-risk environments, such as construction sites or manufacturing plants, are wearing helmets. By integrating helmet detection with existing surveillance systems, organizations can enhance safety protocols, reduce the risk of accidents, and ensure compliance with safety regulations. The ability to provide real-time alerts and generate compliance reports is transforming how safety managers monitor and enforce safety measures, ultimately contributing to a safer workplace environment.

From a regional perspective, North America continues to dominate the Footfall Analytics AI market, driv

The global real-time footfall counting analysis system market is experiencing robust growth, projected to reach $335.4 million in 2025 and maintain a Compound Annual Growth Rate (CAGR) of 15.0% from 2025 to 2033. This expansion is driven by the increasing need for businesses across various sectors – including transportation, retail, commercial spaces, and education – to gain actionable insights into customer traffic patterns. Real-time data allows for optimized resource allocation, improved operational efficiency, and enhanced customer experience. The market is segmented by technology (IR beam, thermal imaging, video-based, and others) and application, with the retail and commercial sectors currently dominating. Technological advancements in image processing, AI-powered analytics, and the integration of IoT devices are key factors fueling market growth. Furthermore, the rising adoption of sophisticated analytics tools that provide detailed customer behavior insights is significantly contributing to market expansion. The increasing focus on data-driven decision-making within businesses is further propelling the demand for these systems. Competition within the market is relatively high, with several established players including ShopperTrak, RetailNext, FLIR Systems, and others vying for market share. However, the market also presents opportunities for smaller, specialized firms focusing on niche applications or advanced technological solutions. Despite the overall positive outlook, factors such as high initial investment costs and the potential for data privacy concerns might act as restraints to some degree, though these challenges are likely to be mitigated through technological innovation and improved data security measures. The continued development of more affordable and user-friendly systems, coupled with a growing awareness of the business benefits of real-time footfall analysis, are likely to drive further market expansion in the coming years.

Footfall Analytics for Destinations Market Outlook

According to our latest research, the global Footfall Analytics for Destinations market size reached USD 2.18 billion in 2024, reflecting robust adoption across key verticals. The market is expected to grow at a CAGR of 13.2% from 2025 to 2033, reaching an estimated USD 6.12 billion by 2033. This growth is primarily driven by the increasing need for data-driven decision-making among destination operators, rapid advancements in sensor and AI technology, and the surge in demand for real-time visitor insights. As per our latest research, the market is witnessing strong momentum as organizations across retail, transportation, hospitality, and public sectors prioritize operational efficiency and enhanced visitor experiences.

A significant growth factor for the Footfall Analytics for Destinations market is the accelerating digital transformation across public and private sectors. Organizations are increasingly leveraging advanced analytics to gain actionable insights into visitor behavior, optimize resource allocation, and improve service delivery. The proliferation of IoT-enabled sensors, AI-powered analytics platforms, and the integration of machine learning algorithms have enabled destination operators to capture granular data on visitor flows and patterns. This data-driven approach not only enhances the ability to predict visitor trends but also supports strategic planning, marketing campaigns, and crowd management initiatives. As destinations compete to offer seamless and personalized experiences, the demand for sophisticated footfall analytics solutions continues to rise, driving sustained market expansion.

Another key driver is the growing emphasis on safety, security, and compliance in high-traffic destinations. The aftermath of the COVID-19 pandemic has heightened the importance of monitoring crowd density and ensuring adherence to social distancing guidelines. Airports, shopping malls, stadiums, and amusement parks are increasingly deploying footfall analytics to track occupancy levels in real-time, identify congestion points, and implement timely interventions. Furthermore, regulatory requirements for crowd management and public safety are prompting organizations to invest in advanced analytics solutions that offer real-time alerts and predictive capabilities. This regulatory push, combined with the need for operational resilience, is fueling the adoption of footfall analytics across diverse destination types.

The expanding scope of applications across emerging economies is further propelling market growth. Rapid urbanization, rising disposable incomes, and increased investments in infrastructure development are creating new opportunities for footfall analytics in regions such as Asia Pacific and the Middle East. Destination operators in these regions are leveraging analytics to enhance visitor engagement, optimize facility utilization, and drive revenue growth. Additionally, the integration of footfall analytics with other digital systems, such as digital signage and mobile apps, is enabling destinations to deliver personalized experiences and targeted promotions. As a result, the market is witnessing strong adoption across both mature and emerging markets, with Asia Pacific expected to exhibit the highest growth rate during the forecast period.

Crowd Analytics is becoming an integral component of footfall analytics, particularly in high-traffic destinations where understanding crowd dynamics is crucial. By analyzing patterns in crowd movement and behavior, destination operators can optimize space utilization, enhance visitor safety, and improve overall experience. This technology leverages data from various sources, including sensors and cameras, to provide real-time insights into crowd density and flow. As destinations strive to manage large volumes of visitors efficiently, the integration of crowd analytics with footfall data offers a comprehensive view of visitor interactions and preferences. This holistic approach not only aids in operational planning but also supports strategic initiatives such as targeted marketing and personalized visitor services.

From a regional perspective, North America currently dominates the Footfall Analytics for Destinations market, accounting for the largest revenue share in 2024. This leadership is attributed to early adoption of advance

Our Activity dataset reveals real-world behavior through detailed foot traffic metrics around POIs in the US, Canada, and Mexico — all GDPR-compliant and non-PII.

By capturing total visits, unique visitors, and frequency of visits, our dataset enables a precise view of how consumers move, behave, and engage with locations over time — helping brands uncover demand, evaluate performance, and outpace competitors.

Key data points include: - Total visits, unique visitors, and visit frequency - Daily, weekly, monthly, and quarterly aggregation - Movement patterns around and within trade areas - Cleaned, normalized, and updated daily - Non-PII, GDPR-compliant location intelligence

Ideal for demand sensing, competitive benchmarking, and performance analysis, this dataset helps retail, real estate, and investment teams unlock powerful insights across North America.

There are 7 cameras located at various locations around the city centre monitoring numbers of people walking past. These cameras calculate numbers on an hourly basis. This data can help identify footfall trends in the city centre and helps city centre management. Please note The format of the data has changed as at 31/01/2014 to ensure one CSV document incorporates all camera sites. This will be the new format going forward. Datasets will be published on a monthly basis in line with the British Retail Consortium (BRC) calendar (refer to PDF guidance document).

This geospatial mobility dataset is used by our customers for many purposes, such as to understand mobility patterns in specific geographic areas or countries, to build their own mobility data models, understand visitation into their own or competitors premises, or test hypotheses around changes in visitation patterns over time.

The Intuizi Visitation Dataset comprises fully-consented mobile device data, de-identified at source by the entity which has legal consent to own/process such data, and on who’s behalf we work to create an de-identified dataset of Encrypted ID visitation/mobility data.

Due to the coronavirus (Covid-19) crisis and social distancing measures the UK government took, retail footfall data following March 2020 saw an unprecedented fall. In the United Kingdom (UK), visitor numbers to retail locations were generally in decline, but for retail parks the decline was less dramatic. Over the period displayed here, footfall has slightly recovered, with positive year-on-year change in shopper numbers across retail parks occuring in August, September, and October 2024, along with several months in 2025. In the most recent period, however, footfall in retail parks reflected a slight decrease of ****percent compared to the previous year.

Footfall in Customer Centre - Average wait time (Minutes)

The average monthly footfall in physical stores steadily grew over 2021, peaking in July, with an increase of almost ** percent compared to January of that year. In January 2022 growth dropped to just ** percent, but by March 2022 it had recovered to over ** percent.

Retail footfall in British high streets bounced back from the pandemic-driven sluggish shopper numbers around January 2023. But despite the recovering numbers, high streets still struggled with diminishing visits and frequent fluctuations. In the most recently reported period (October 2025), there was an increase of *** percent of visitors to UK high streets after a year-on-year decrease the previous month. Similar fluctuations in footfall trends appeared in shopping centers as well. Retail locations out of favor With more and more shoppers turning to the convenience of online shopping, the landscape of high street retailing is transforming as store closures are dealing many retail and leisure store categories hard blows. This was exacerbated by the impact of the coronavirus (COVID-19) pandemic. In 2024, there were over ****** store closures in the United Kingdom. Store closures before the pandemic Even before the coronavirus (COVID-19) pandemic hit, UK retail sector had been going through what many have dubbed as "the retail apocalypse". Many retailers saw store closures and ensuing job losses a year before the pandemic. Among these, Poundland had the highest number of staff lay-offs resulting from store closures.

Retail Footfall Proxy via Satellite Market Outlook

According to our latest research, the global retail footfall proxy via satellite market size reached USD 1.12 billion in 2024, driven by the increasing demand for advanced analytics in retail site selection and performance measurement. The market is projected to grow at a robust CAGR of 16.8% from 2025 to 2033, reaching a forecasted value of USD 4.17 billion by 2033. This remarkable growth is fueled by the integration of satellite imagery with artificial intelligence and big data analytics, enabling retailers and stakeholders to derive actionable insights into consumer behavior and retail traffic patterns at an unprecedented scale.

The primary growth factor for the retail footfall proxy via satellite market is the accelerating adoption of data-driven decision-making in the retail sector. As brick-and-mortar stores face mounting competition from e-commerce, understanding real-world consumer movement is critical. Satellite-based footfall proxies enable retailers to monitor traffic patterns, optimize store locations, and evaluate marketing campaigns without the need for costly on-ground sensors or manual counting. The ability to access near-real-time data over vast geographic areas provides a significant competitive advantage, particularly for multinational retail chains and real estate developers evaluating new investments.

Another significant driver is the technological advancement in satellite imagery, including higher spatial and temporal resolution, improved image processing algorithms, and the proliferation of commercial satellite constellations. These advancements have dramatically reduced the cost per image and increased the frequency of data collection, making satellite-based retail analytics more accessible to a wider range of businesses. The integration of machine learning and artificial intelligence further enhances the accuracy of footfall estimation, transforming raw satellite data into valuable business intelligence. This has led to a surge in demand for both turnkey software solutions and specialized services tailored to retail analytics.

Additionally, the growing need for urban planning and smart city initiatives is bolstering demand for retail footfall proxies derived from satellite data. Urban planners, financial institutions, and real estate developers are leveraging these insights to understand retail dynamics, assess the impact of infrastructure projects, and make informed investment decisions. The ability to correlate footfall data with socioeconomic factors, mobility patterns, and urban development trends is proving invaluable for stakeholders beyond traditional retailers. This broadening of end-user applications is expected to sustain the market’s momentum throughout the forecast period.

Regionally, North America currently leads the retail footfall proxy via satellite market, accounting for the largest share in 2024 due to the presence of advanced satellite infrastructure, a mature retail ecosystem, and high adoption of geospatial analytics. Europe follows closely, supported by robust regulatory frameworks and a strong focus on urban development. The Asia Pacific region, however, is anticipated to register the highest CAGR through 2033, fueled by rapid urbanization, expanding retail networks, and increasing investments in satellite technology. Latin America and the Middle East & Africa are also witnessing growing interest, particularly in metropolitan hubs where traditional footfall measurement methods are less feasible.

Component Analysis

The component segment of the retail footfall proxy via satellite market is divided into hardware, software, and services. Hardware includes satellite payloads, ground stations, and image acquisition devices, which form the backbone of data collection. The hardware segment, while capital-intensive, is witnessing steady growth as satellite operators expand their fleets and enhance imaging capabilities. The proliferation of small satellites and CubeSats is particularly noteworthy, as it reduces launch and operational costs, making satellite-based data acquisition more accessible to commercial clients in the retail sector.

Software plays a pivotal role in transforming raw satellite imagery into actionable insights. Advanced analytics platforms leverage artificial intelligence, computer vision, and geospatial algorithms to estimate f

Footfall Analytics Market Outlook

According to our latest research, the global footfall analytics market size reached USD 1.75 billion in 2024, reflecting a robust adoption curve across diverse industries. The market is expected to expand at a compound annual growth rate (CAGR) of 15.1% from 2025 to 2033, reaching a forecasted value of USD 5.72 billion by 2033. This remarkable growth trajectory is driven by the increasing need for data-driven insights in physical spaces, integration of advanced AI and IoT technologies, and the rising demand for enhanced customer experiences in retail, transportation, and hospitality sectors.

The primary growth driver for the footfall analytics market is the surging adoption of smart technologies in the retail sector. As brick-and-mortar stores strive to remain competitive against e-commerce, retailers are leveraging footfall analytics to gain actionable insights into consumer behavior, optimize store layouts, and refine marketing strategies. The proliferation of connected devices, such as smart cameras and sensors, enables real-time data collection, which, when analyzed, provides granular visibility into customer movement patterns, dwell times, and peak hours. This data-driven approach empowers retailers to make informed decisions that enhance customer engagement, boost conversion rates, and maximize revenue per square foot, further fueling the demand for sophisticated footfall analytics solutions globally.

Another significant growth factor is the rapid digital transformation across public infrastructure and transportation hubs. Airports, railway stations, and bus terminals are increasingly deploying footfall analytics to manage crowd flows, enhance security, and improve operational efficiency. The integration of AI-powered video analytics with existing surveillance infrastructure enables authorities to monitor passenger traffic, predict congestion, and allocate resources proactively. Additionally, the rising emphasis on safety and compliance in public spaces, especially in the aftermath of the COVID-19 pandemic, has accelerated investments in footfall analytics solutions to support social distancing measures and ensure regulatory compliance, thereby driving market expansion across multiple sectors beyond retail.

The evolution of cloud computing and the shift towards Software-as-a-Service (SaaS) models are also catalyzing the growth of the footfall analytics market. Cloud-based solutions offer scalability, cost-efficiency, and seamless integration with other enterprise systems, making them particularly attractive to small and medium-sized enterprises (SMEs) as well as large organizations. The availability of real-time analytics, customizable dashboards, and advanced reporting capabilities through cloud platforms enables businesses to derive actionable insights without significant upfront investments in IT infrastructure. This democratization of advanced analytics is broadening the addressable market and fostering innovation in solution offerings, further propelling the global adoption of footfall analytics across various industry verticals.

Regionally, North America continues to dominate the footfall analytics market, driven by early technology adoption, high concentration of retail chains, and substantial investments in smart infrastructure. However, Asia Pacific is emerging as the fastest-growing region, fueled by rapid urbanization, expanding retail footprints, and increasing government initiatives to develop smart cities. Europe also maintains a significant market share, supported by strong demand in transportation, hospitality, and cultural venues. The Middle East & Africa and Latin America are witnessing steady growth, underpinned by rising investments in commercial real estate and modernization of public spaces. The regional dynamics are expected to evolve further as global players expand their footprint and local enterprises embrace digital transformation.

Component Analysis

The footfall analytics market by component is segmented into software, hardware, and services, each playing a pivotal role in delivering comprehensive analytics solutions. The software segment, comprising data analytics platforms, visualization tools, and AI-driven algorithms, accounts for the largest share due to its critical function in transforming raw data into actionable insights. Advanced software platforms offer features such as heat mapping, predictive analytics, and real-time monitoring, enabling bus