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Business location data for Maptitude mapping software are from Caliper Corporation and contain point locations for businesses.
Xverum’s Point of Interest (POI) Data is a comprehensive dataset containing 230M+ verified locations across 5000 business categories. Our dataset delivers structured geographic data, business attributes, location intelligence, and mapping insights, making it an essential tool for GIS applications, market research, urban planning, and competitive analysis.
With regular updates and continuous POI discovery, Xverum ensures accurate, up-to-date information on businesses, landmarks, retail stores, and more. Delivered in bulk to S3 Bucket and cloud storage, our dataset integrates seamlessly into mapping, geographic information systems, and analytics platforms.
🔥 Key Features:
Extensive POI Coverage: ✅ 230M+ Points of Interest worldwide, covering 5000 business categories. ✅ Includes retail stores, restaurants, corporate offices, landmarks, and service providers.
Geographic & Location Intelligence Data: ✅ Latitude & longitude coordinates for mapping and navigation applications. ✅ Geographic classification, including country, state, city, and postal code. ✅ Business status tracking – Open, temporarily closed, or permanently closed.
Continuous Discovery & Regular Updates: ✅ New POIs continuously added through discovery processes. ✅ Regular updates ensure data accuracy, reflecting new openings and closures.
Rich Business Insights: ✅ Detailed business attributes, including company name, category, and subcategories. ✅ Contact details, including phone number and website (if available). ✅ Consumer review insights, including rating distribution and total number of reviews (additional feature). ✅ Operating hours where available.
Ideal for Mapping & Location Analytics: ✅ Supports geospatial analysis & GIS applications. ✅ Enhances mapping & navigation solutions with structured POI data. ✅ Provides location intelligence for site selection & business expansion strategies.
Bulk Data Delivery (NO API): ✅ Delivered in bulk via S3 Bucket or cloud storage. ✅ Available in structured format (.json) for seamless integration.
🏆Primary Use Cases:
Mapping & Geographic Analysis: 🔹 Power GIS platforms & navigation systems with precise POI data. 🔹 Enhance digital maps with accurate business locations & categories.
Retail Expansion & Market Research: 🔹 Identify key business locations & competitors for market analysis. 🔹 Assess brand presence across different industries & geographies.
Business Intelligence & Competitive Analysis: 🔹 Benchmark competitor locations & regional business density. 🔹 Analyze market trends through POI growth & closure tracking.
Smart City & Urban Planning: 🔹 Support public infrastructure projects with accurate POI data. 🔹 Improve accessibility & zoning decisions for government & businesses.
💡 Why Choose Xverum’s POI Data?
Access Xverum’s 230M+ POI dataset for mapping, geographic analysis, and location intelligence. Request a free sample or contact us to customize your dataset today!
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ZIP Code business counts data for Maptitude mapping software are from Caliper Corporation and contain aggregated ZIP Code Business Patterns (ZBP) data and Rural-Urban Commuting Area (RUCA) data.
Every single contact from our geographical databased with 270 million+ companies comes directly from local sources that you can trust and are GDPR proof. These sources include chamber of commerces, market surveys, business listings, directories, magazines, public records, websites, conferences, telephone directories, publishers, social media and commercial partnerships. All our e-mail data is verified by automated processes and human eyes on a ongoing basis. Have an edge against your competition with our comprehensive B2B company database. Ask us for a quote!
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The global location intelligence analytics market size is projected to grow from USD 14.2 billion in 2023 to USD 31.7 billion by 2032, exhibiting a CAGR of approximately 9.4% during the forecast period. This robust growth is primarily driven by the increasing demand for spatial data and analytical tools across various industries to enhance decision-making processes and optimize business operations. As organizations increasingly recognize the value of location-based insights, they are investing in sophisticated analytics solutions that leverage geographic data to drive business outcomes and gain competitive advantages.
One of the primary growth factors for the location intelligence analytics market is the proliferation of IoT devices and the consequent surge in location-based data generation. With billions of connected devices expected to be operational in the coming years, the volume of location-specific data is set to explode. Businesses across industries are eager to harness this data to gain insights into consumer behavior, improve operational efficiency, and develop targeted marketing strategies. Moreover, advancements in AI and machine learning are enabling more sophisticated analysis of location data, providing deeper insights and predictive capabilities that are invaluable to enterprises.
Another significant driver for market growth is the growing adoption of smart city initiatives across the globe. Governments and municipalities are increasingly implementing location intelligence solutions to enhance urban planning, traffic management, and public safety. By leveraging location-based analytics, cities can optimize resource allocation, improve citizen services, and drive sustainable development. Furthermore, the integration of real-time data from various sources, such as sensors and social media, with geographic information systems (GIS) is facilitating more dynamic and responsive urban management systems, thus propelling the demand for location intelligence analytics.
The increasing emphasis on business intelligence and data-driven decision-making is also fueling the demand for location intelligence analytics. In today's competitive landscape, organizations are seeking to leverage every bit of data to gain actionable insights and stay ahead. Location intelligence provides a unique perspective by overlaying geographic data on traditional business data, offering a holistic view of trends and patterns. This capability is particularly valuable in sectors such as retail, transportation, and logistics, where location-based insights can directly impact revenue generation, cost savings, and customer satisfaction.
Regionally, North America is expected to hold the largest share of the location intelligence analytics market, driven by the presence of major technology companies and the rapid adoption of advanced analytics solutions across industries. The region's commitment to innovation and technological advancement is further supported by substantial investments in R&D activities. Additionally, Europe is anticipated to witness significant growth, influenced by stringent regulatory frameworks and a heightened focus on data privacy and security. In contrast, the Asia Pacific region is projected to demonstrate the highest growth rate, attributed to the rapid digital transformation and increasing investments in smart city projects across emerging economies like India and China.
The location intelligence analytics market is broadly segmented into software and services. Software solutions are a critical component of this market, offering the necessary tools and platforms for collecting, analyzing, and visualizing geographic data. These software solutions are designed to process large volumes of spatial data, integrate various data sources, and provide users with intuitive and interactive interfaces for data exploration. The advancements in cloud computing and the increasing adoption of Software as a Service (SaaS) models are further driving the demand for location intelligence software, as they offer greater scalability, flexibility, and cost-effectiveness to organizations of all sizes.
Within the software segment, Geographic Information System (GIS) solutions are particularly prominent. GIS technology enables the mapping and analysis of spatial data, allowing users to visualize relationships, patterns, and trends in complex datasets. The ability to integrate GIS with other enterprise systems, such as Customer Relationship Management (CRM) and Enterprise Resource Planning (ERP), enhances its ut
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The Report Includes Europe Location Intelligence Companies and the Market is Segmented by End-User Industry (Telecom, BFSI, Healthcare, Manufacturing, Retail), by Country (United Kingdom, Germany, France, Spain, Italy, and the Rest of Europe). The Market Sizes and Forecasts are Provided in Terms of Value (USD) for all the Above Segments.
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The global market size for Location Intelligence (LI) and Location Analytics is projected to grow from $XX billion in 2023 to $XX billion by 2032, exhibiting a CAGR of XX%. This remarkable growth is driven by the increasing adoption of geospatial data in business operations and the rising demand for location-based services in various industries.
One of the primary growth factors for the Location Intelligence and Location Analytics market is the proliferation of Internet of Things (IoT) devices. These devices generate vast amounts of location-based data that can be analyzed to provide valuable insights. Companies are increasingly recognizing the importance of leveraging this data to enhance operational efficiency, improve customer experience, and drive strategic decision-making. The integration of artificial intelligence (AI) and machine learning (ML) with Location Analytics further enhances the ability to process and analyze large datasets, providing more accurate and actionable insights.
Another significant driver is the growing need for real-time location-based services. In sectors such as retail, transportation, and logistics, real-time location analytics enable businesses to track assets, monitor workforce movements, and manage facilities more effectively. This real-time data helps in optimizing routes, reducing fuel consumption, and improving overall productivity. Additionally, the COVID-19 pandemic has accelerated the adoption of location-based services for contact tracing, social distancing monitoring, and ensuring workplace safety, further propelling market growth.
Advancements in geographic information systems (GIS) and the increasing availability of high-resolution satellite imagery are also contributing to market expansion. Modern GIS platforms offer sophisticated tools for spatial analysis, mapping, and visualization, enabling organizations to derive meaningful insights from complex geospatial data. The integration of location analytics with business intelligence (BI) tools allows for comprehensive analysis and visualization of data, leading to better strategic planning and decision-making.
Regionally, North America is expected to hold the largest market share, driven by the presence of major technology companies and early adoption of advanced technologies. The Asia Pacific region is anticipated to witness the highest growth rate, fueled by rapid urbanization, increasing investments in smart city projects, and the expanding e-commerce sector. Europe, Latin America, and the Middle East & Africa are also expected to contribute significantly to the market growth, with various industries adopting location-based services to enhance operational efficiency and customer engagement.
The Location Intelligence and Location Analytics market is segmented into two main components: Software and Services. The Software segment dominates the market, driven by the increasing demand for sophisticated analytics tools that can process and visualize geospatial data. Advanced software solutions offer capabilities such as spatial analysis, mapping, and real-time data processing, enabling businesses to gain deeper insights into their operations and customer behavior. The integration of AI and ML with location analytics software further enhances its analytical capabilities, making it a crucial component for businesses seeking to leverage geospatial data.
Within the Software segment, geographic information systems (GIS) and business intelligence (BI) tools play a pivotal role. GIS platforms provide extensive functionalities for spatial data analysis, mapping, and visualization, allowing organizations to derive actionable insights from complex datasets. The integration of BI tools with location analytics enables businesses to perform comprehensive analyses and generate interactive dashboards, facilitating informed decision-making. The increasing adoption of cloud-based software solutions is also driving market growth, offering scalability, flexibility, and cost-effectiveness to businesses of all sizes.
The Services segment encompasses various professional and managed services that support the deployment and utilization of location analytics solutions. Consulting services assist organizations in identifying their specific needs and developing customized solutions, while implementation services ensure seamless integration of location analytics tools with existing systems. Managed services provide ongoing support, maintenance, and optimization of location analy
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Location Intelligence Market size was valued at USD 18.5 Billion in 2023 and is projected to reach USD 63.15 Billion by 2030, growing at a CAGR of 15.63% during the forecasted period 2024 to 2030.Global Location Intelligence Market DriversThe growth and development of the Location Intelligence Market drivers. These factors have a big impact on how Location Intelligence are demanded and adopted in different sectors. Several of the major market forces are as follows:Proliferation of Spatial Data: A rich source of data for location intelligence and analytics is made possible by the exponential increase of spatial data produced by sources including GPS-enabled devices, Internet of Things sensors, and geographic information systems (GIS). In order to extract meaningful insights, there is a growing need for sophisticated tools and technologies due to the volume and diversity of spatial data.Location-Based Services (LBS) are Growing: The demand for location intelligence and analytics solutions is fueled by the widespread use of location-based services including ride-sharing services, navigation apps, and location-based marketing. Companies use location data to target services based on local context, optimize operations, and improve customer experiences.Need for Real-time information: To make wise judgments swiftly in the hectic business world of today, businesses need to have real-time access to location-based information. Businesses may increase agility and responsiveness by using location intelligence and analytics solutions to monitor events, identify patterns, and react to changes in real-time.The amalgamation of location: intelligence and analytics with nascent technologies such as artificial intelligence (AI) and the Internet of Things (IoT) amplifies their potential and value proposition. Through the integration of sensor data, AI algorithms, and location data, enterprises may gain more profound understanding, anticipate future patterns, and streamline their decision-making procedures.Urbanization and Smart City Initiatives: The use of location intelligence and analytics solutions is fueled by the global trend toward urbanization and the growth of smart city initiatives. These technologies help municipalities, urban planners, and government agencies create sustainable and effective urban environments by optimizing infrastructure development, city planning, and service delivery.Cross-Industry Applications: Location analytics and intelligence are useful in a variety of industries, such as banking, logistics, healthcare, and retail. Businesses use location-based data to increase risk management, streamline supply chains, target customers more effectively, and increase operational efficiency across a range of company operations.Regulatory Compliance and Risk Management: The use of location intelligence and analytics solutions for regulatory compliance and risk management is influenced by compliance requirements relating to location-based data, such as privacy laws and geospatial standards. These products are purchased by organizations to guarantee data governance, reduce risks, and prove compliance with legal and regulatory obligations.The need for location-based: marketing is growing as companies use location analytics and intelligence to create more focused advertising and marketing campaigns. Organizations may increase customer engagement and conversion rates by providing tailored offers, promotions, and content depending on the geographic context of their customers by evaluating location data and consumer activity patterns.Emergence of Digital Twin Technology: This technology opens up new possibilities for location intelligence and analytics by building virtual versions of real assets or environments. Organizations can improve decision-making processes in a variety of fields, such as manufacturing, infrastructure management, and urban planning, by incorporating location data into digital twin models and simulating scenarios.
Welcome to Apiscrapy, your ultimate destination for comprehensive location-based intelligence. As an AI-driven web scraping and automation platform, Apiscrapy excels in converting raw web data into polished, ready-to-use data APIs. With a unique capability to collect Google Address Data, Google Address API, Google Location API, Google Map, and Google Location Data with 100% accuracy, we redefine possibilities in location intelligence.
Key Features:
Unparalleled Data Variety: Apiscrapy offers a diverse range of address-related datasets, including Google Address Data and Google Location Data. Whether you seek B2B address data or detailed insights for various industries, we cover it all.
Integration with Google Address API: Seamlessly integrate our datasets with the powerful Google Address API. This collaboration ensures not just accessibility but a robust combination that amplifies the precision of your location-based insights.
Business Location Precision: Experience a new level of precision in business decision-making with our address data. Apiscrapy delivers accurate and up-to-date business locations, enhancing your strategic planning and expansion efforts.
Tailored B2B Marketing: Customize your B2B marketing strategies with precision using our detailed B2B address data. Target specific geographic areas, refine your approach, and maximize the impact of your marketing efforts.
Use Cases:
Location-Based Services: Companies use Google Address Data to provide location-based services such as navigation, local search, and location-aware advertisements.
Logistics and Transportation: Logistics companies utilize Google Address Data for route optimization, fleet management, and delivery tracking.
E-commerce: Online retailers integrate address autocomplete features powered by Google Address Data to simplify the checkout process and ensure accurate delivery addresses.
Real Estate: Real estate agents and property websites leverage Google Address Data to provide accurate property listings, neighborhood information, and proximity to amenities.
Urban Planning and Development: City planners and developers utilize Google Address Data to analyze population density, traffic patterns, and infrastructure needs for urban planning and development projects.
Market Analysis: Businesses use Google Address Data for market analysis, including identifying target demographics, analyzing competitor locations, and selecting optimal locations for new stores or offices.
Geographic Information Systems (GIS): GIS professionals use Google Address Data as a foundational layer for mapping and spatial analysis in fields such as environmental science, public health, and natural resource management.
Government Services: Government agencies utilize Google Address Data for census enumeration, voter registration, tax assessment, and planning public infrastructure projects.
Tourism and Hospitality: Travel agencies, hotels, and tourism websites incorporate Google Address Data to provide location-based recommendations, itinerary planning, and booking services for travelers.
Discover the difference with Apiscrapy – where accuracy meets diversity in address-related datasets, including Google Address Data, Google Address API, Google Location API, and more. Redefine your approach to location intelligence and make data-driven decisions with confidence. Revolutionize your business strategies today!
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The global Geo Location Technology market size was valued at approximately USD 45.3 billion in 2023 and is expected to reach USD 128.5 billion by 2032, growing at a CAGR of 12.5% during the forecast period. This significant growth is driven by the increasing adoption of location-based services and the rising integration of geolocation technology in various industries. Factors such as the proliferation of smartphones, advancements in GPS technology, and the increasing need for asset tracking and management are key drivers propelling the market forward.
One of the primary growth factors of the Geo Location Technology market is the widespread adoption of smartphones and mobile devices equipped with GPS capabilities. As of 2023, it is estimated that there are over 6 billion smartphone users globally, and this number is expected to increase in the coming years. The integration of geolocation services in these devices has led to a surge in demand for location-based applications such as mapping, navigation, and location-based advertising. These applications enhance user experience by providing real-time information and personalized services based on the user's location, thereby driving the growth of the geolocation technology market.
Another significant growth factor is the increasing use of geolocation technology in the transportation and logistics industry. With the rise of e-commerce and the growing need for efficient supply chain management, companies are increasingly relying on geolocation technology for real-time tracking of goods and assets. This technology helps in optimizing routes, reducing delivery times, and improving overall operational efficiency. Additionally, the implementation of geolocation technology in fleet management systems enables companies to monitor vehicle movements, ensure driver safety, and reduce fuel consumption, further driving the market growth.
The healthcare sector is also contributing to the growth of the Geo Location Technology market. The use of geolocation technology in healthcare applications such as patient tracking, remote monitoring, and emergency response systems has gained significant traction. This technology enables healthcare providers to track the real-time location of patients, especially those with chronic conditions or mental health issues, ensuring timely medical intervention. Moreover, geolocation technology is being used in contact tracing applications to curb the spread of infectious diseases, further boosting its adoption in the healthcare sector.
Location-based Search and Advertising have emerged as pivotal components in the realm of geolocation technology, offering businesses the ability to reach potential customers with unprecedented precision. By leveraging the power of geolocation data, companies can tailor their marketing strategies to target users based on their current or past locations. This not only enhances the relevance of advertisements but also significantly improves conversion rates by reaching audiences at the right place and time. As consumers increasingly rely on mobile devices for information and services, location-based advertising offers a unique opportunity for businesses to engage with their audience in a more personalized and context-aware manner. The integration of location-based search capabilities further empowers users to discover nearby services and products, driving foot traffic to brick-and-mortar stores and enhancing the overall customer experience.
Regionally, North America holds the largest share of the Geo Location Technology market, driven by the presence of major technology companies and the early adoption of advanced technologies. The Asia Pacific region, however, is expected to witness the highest growth rate during the forecast period, owing to the increasing penetration of smartphones, rapid urbanization, and the growing demand for location-based services in emerging economies such as China and India. Europe, Latin America, and the Middle East & Africa also present significant growth opportunities due to the rising adoption of geolocation technology across various industries.
The Geo Location Technology market is segmented by component into hardware, software, and services. The hardware segment includes GPS devices, sensors, and other geolocation-enabled devices, while the software segment encompasses mapping and navigation software, geolocation APIs, and other related appli
Location Analytics Tools Market Size 2024-2028
The location analytics tools market size is forecast to increase by USD 17.79 billion at a CAGR of 16.93% between 2023 and 2028.
The market is experiencing significant growth, driven by the increasing awareness and adoption of location-enabled services, particularly those leveraging Artificial Intelligence (AI) and machine learning capabilities for advanced analysis. This trend is being fueled by the vast amounts of location-based data being generated daily from various sources, including mobile devices, IoT sensors, and GPS systems. However, market expansion is not without challenges. Stringent government regulations governing the collection, storage, and usage of location-based data pose significant hurdles for market participants. Ensuring compliance with these regulations is crucial for maintaining consumer trust and avoiding potential legal and reputational risks. Companies seeking to capitalize on market opportunities must navigate these challenges effectively, investing in data security measures and adhering to industry best practices. Additionally, staying abreast of regulatory changes and adapting to evolving consumer expectations will be essential for long-term success in the market.
What will be the Size of the Location Analytics Tools Market during the forecast period?
Request Free SampleThe market encompasses the use of geographic data in conjunction with operational and customer data to derive valuable insights for decision-making. This market experiences significant growth due to the increasing importance of customer behavior and improving operational efficiency in various industries. Businesses face challenges in managing and analyzing large volumes of data from sources such as mobile positioning, satellite-based GPS, Wi-Fi location analytics, and IoT devices. Cloud-based solutions and real-time location data processing enable organizations to make informed decisions quickly. Geocoding and reverse geocoding technologies facilitate the integration of location data with other business data. Furthermore, advancements in ML technologies, big data, and AI are enhancing the capabilities of location analytics tools, providing more accurate and actionable insights. Applications of location analytics span across diverse sectors, including medical equipment, retail centers, and logistics, among others. Overall, the market is poised for continued expansion as businesses increasingly recognize the value of location data in driving strategic initiatives.
How is this Location Analytics Tools Industry segmented?
The location analytics tools industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments. End-userTransportationRetailBFSIMedia and entertainmentTelecom and othersTypeOutdoor locationIndoor locationGeographyNorth AmericaUSEuropeGermanyUKAPACChinaJapanMiddle East and AfricaSouth America
By End-user Insights
The transportation segment is estimated to witness significant growth during the forecast period.Transportation companies are integrating location analytics tools to optimize their operations and address the challenges of managing increasing material transportation needs, reducing costs, and meeting customer service-level agreements. These tools enable real-time analysis of location-specific data, such as road conditions, weather updates, urban infrastructure, and route permissions, which are crucial for efficient route planning and resource allocation. The data is visualized as interactive maps to facilitate decision-making and improve operational efficiency. Digitalization and IoT systems play a significant role in gathering and transmitting real-time location data. Location analytics also supports predictive analytics, risk mitigation, asset management, and supply chain coordination. However, privacy concerns and data protection regulations necessitate careful handling of sensitive geospatial data. Cloud computing and Software-as-a-Service (SaaS) models facilitate scalable solutions for transportation companies. Location analytics tools offer various deployment options, including cloud and on-premises, and provide features such as indoor and outdoor tracking, user behavior analysis, and thematic mapping. They also integrate with business intelligence tools and offer reporting, visualization, and spatial analysis capabilities.
Get a glance at the market report of share of various segments Request Free Sample
The Transportation segment was valued at USD 2.07 billion in 2018 and showed a gradual increase during the forecast period.
Regional Analysis
North America is estimated to contribute 40% to the growth of the global market during the forecast period.Technavio’s analysts have elabo
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The Location Analytics Market size was valued at USD 18.30 USD Billion in 2023 and is projected to reach USD 48.68 USD Billion by 2032, exhibiting a CAGR of 15.0 % during the forecast period. The increasing adoption of location-based services (LBS) in various industries, the growing need for real-time data and insights, and the advancements in location-based technologies are driving the growth of the market. Location analytics is the practice of adding a layer of geographical data to a business’s data assets in order to extract more valuable insights. Across industries, business data, including data on people, events, transactions, assets, and more, often includes a geographic component, which when added to an analysis of performance may unlock new related insights. This allows for greater context when asking questions about different business processes, offering a new understanding of trends and relationships in the data. Location analytics provides everyone in an organization with spatial analytics and other analytics capabilities to understand the data through a location-specific perspective and make predictions and optimize business practices accordingly. Adding location to an organization’s analytics allows for greater context in decision making and drives greater insights that may not have been uncovered using traditional, flat business intelligence (BI) data. Recent developments include: January 2024 - ANYbotics and Cognite collaborated to provide integrated robotic inspection solutions. The solutions automate real-time data collection to facilitate location, analysis, and reporting and improve digital twin., November 2023 - Gravy Analytics, an enterprise location intelligence company, and Unacast, a location analytics and data company, announced a definitive merger agreement to create one of the largest and most comprehensive location analytics platforms in the industry. The merger would expand location intelligence for customers in the retail, telecommunications, real estate, and financial services., March 2023 - BetterMile, a company supplying smart spatial software for parcel delivery, announced an extended partnership with HERE Technologies to enhance its service. Drivers around the globe using BetterMile can now access complete location information and geocoding from HERE, customized for fleet delivery on their devices., September 2022 - TomTom introduced GO Navigation’s truck plan, which is curated to meet the needs of professional truck drivers. This allows drivers to plan their routes according to maximum speeds, vehicle dimensions, fuel needs, and cargo as well as GO Navigation's premium navigation features and abilities., July 2021 - INRIX, Inc., a leader in mobile analytic technology, unveiled a powerful new cloud LBS application called INRIX IQ, which provides retailers, investors, and other business people with information to open new stores, raise revenue, and achieve optimum returns on their investments.. Key drivers for this market are: Increasing Adoption of Location-based Applications among Several Industries to Favor Market Growth. Potential restraints include: Concerns Associated with Geo Privacy and Confidential Data to Limit Market Growth. Notable trends are: Artificial Intelligence (AI) and Machine Learning (ML) based Analytics Solutions to Propel Market .
GapMaps curates up-to-date and high-quality Business Location Data tracking store openings and closures for leading retail brands across Asia and MENA. Get the insights you need to make more accurate and informed business decisions.
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The global IP geolocation software market size is projected to grow from USD 1.2 billion in 2023 to USD 2.8 billion by 2032, at a compound annual growth rate (CAGR) of 10%. This robust growth can be attributed to the increasing need for advanced geolocation solutions across various industries to enhance security, customer experience, and regulatory compliance. The exponential rise in internet users and the proliferation of connected devices are significantly driving the demand for IP geolocation software worldwide.
One of the primary growth factors for the IP geolocation software market is the escalating concerns over cybersecurity. With the increasing incidence of cyber-attacks and fraud, organizations are compelled to adopt sophisticated geolocation tools to pinpoint the source of threats, thereby mitigating risks. The ability of these tools to deliver real-time location data enhances their appeal among enterprises looking to bolster their security infrastructure. Furthermore, regulatory mandates across industries, especially in regions like Europe and North America, necessitate the use of location-based authentication and monitoring, further propelling the market growth.
Another significant driver is the growing adoption of geomarketing. Businesses are leveraging geolocation data to create personalized marketing campaigns, which can lead to higher conversion rates and customer satisfaction. The ability to track customer locations and deliver location-specific advertisements is proving to be a game-changer in the retail and e-commerce sectors. Moreover, advancements in machine learning and artificial intelligence are augmenting the capabilities of IP geolocation software, enabling more precise and actionable insights.
The surge in the usage of cloud services is also contributing to the market expansion. Cloud-based IP geolocation solutions offer scalability, flexibility, and cost-efficiency, making them an attractive option for businesses of all sizes. These solutions facilitate seamless integration with existing systems and provide real-time data analytics, which are crucial for making informed decisions. The trend toward digital transformation across various sectors, including BFSI, retail, and telecommunications, is further amplifying the demand for cloud-based geolocation services.
From a regional perspective, North America holds a dominant position in the IP geolocation software market, driven by the presence of leading technology companies and high internet penetration rates. However, the Asia Pacific region is expected to witness the highest growth rate during the forecast period. Factors such as the rapid digitalization of economies, increasing internet user base, and rising investments in cybersecurity infrastructure are accelerating the market growth in this region. Europe also presents significant growth opportunities due to stringent data privacy laws and robust adoption of advanced technologies across various sectors.
The IP geolocation software market is segmented by component into software and services. The software segment is expected to hold the largest market share, driven by the increasing need for sophisticated geolocation tools that offer real-time data analytics and enhanced security features. Businesses are investing heavily in software solutions to leverage geolocation data for various applications such as fraud detection, customer experience enhancement, and compliance. The continuous advancements in software technology, including the integration of artificial intelligence and machine learning, are further boosting the adoption of IP geolocation software.
On the other hand, the services segment is also poised for substantial growth. As businesses increasingly adopt geolocation software, the demand for associated services such as consulting, implementation, and support is rising. Service providers play a crucial role in helping organizations effectively deploy and manage geolocation solutions, ensuring they derive maximum value from their investments. The growing complexity of cybersecurity threats and the need for specialized expertise in handling geolocation data are key factors driving the demand for services in this market.
Moreover, the rise of managed services is another notable trend within the services segment. Many organizations prefer outsourcing the management of their geolocation solutions to third-party providers to focus on their core business activities. Managed service providers offer end-to-end solutions, including continuo
In 2022, respondents forecast that internally managed enterprise data centers will continue to be the main location for data storage within enterprises, with ** percent of respondents answering as such. However, it is important to note, that most locations for data storage will remain similar from 2020 to 2022, according to respondents.
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Korean Companies’ Geolocation Data provides important information to analyze consumer behavior and market trends by region. This data includes regional consumption patterns, movement paths, and commercial activities. Collected from GPS data and location-based services, it helps investors understand regional market trends and develop tailored marketing strategies, which are essential for evaluating the value of Korean companies operating in specific regions.
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Product contains one data file (.txt format) for each year from 1997-2023 containing 11-15 million records per year. Records provide information about business location (including address, census block, census tract & lat/long coordinates), number of employees, sales volume, NAICS & SIC codes, unique identifier across time for businesses and parent entities.
GapMaps Foot Traffic Data by Azira provides actionable insights on consumer travel patterns at a global scale empowering Marketing and Operational Leaders to confidently reach, understand, and market to highly targeted audiences and optimize their business results.
Xverum’s Location Data is a highly structured dataset of 230M+ verified locations, covering businesses, landmarks, and points of interest (POI) across 5000 industry categories. With accurate geographic coordinates, business metadata, and mapping attributes, our dataset is optimized for GIS applications, real estate analysis, market research, and urban planning.
With continuous discovery of new locations and regular updates, Xverum ensures that your location intelligence solutions have the most current data on business openings, closures, and POI movements. Delivered in bulk via S3 Bucket or cloud storage, our dataset integrates seamlessly into mapping, navigation, and geographic analysis platforms.
🔥 Key Features:
Comprehensive Location Coverage: ✅ 230M+ locations worldwide, spanning 5000 business categories. ✅ Includes retail stores, corporate offices, landmarks, service providers & more.
Geographic & Mapping Data: ✅ Latitude & longitude coordinates for precise location tracking. ✅ Country, state, city, and postal code classifications. ✅ Business status tracking – Open, temporarily closed, permanently closed.
Continuous Discovery & Regular Updates: ✅ New locations added frequently to ensure fresh data. ✅ Updated business metadata, reflecting new openings, closures & status changes.
Detailed Business & Address Metadata: ✅ Company name, category, & subcategories for industry segmentation. ✅ Business contact details, including phone number & website (if available). ✅ Operating hours for businesses with scheduling data.
Optimized for Mapping & Location Intelligence: ✅ Supports GIS, real estate analysis & smart city planning. ✅ Enhances navigation & mapping solutions with structured geographic data. ✅ Helps businesses optimize site selection & expansion strategies.
Bulk Data Delivery (NO API): ✅ Delivered via S3 Bucket or cloud storage for full dataset access. ✅ Available in a structured format (.json) for easy integration.
🏆 Primary Use Cases:
Location Intelligence & Mapping: 🔹 Power GIS platforms & digital maps with structured geographic data. 🔹 Integrate accurate location insights into real estate, logistics & market analysis.
Retail Expansion & Business Planning: 🔹 Identify high-traffic locations & competitors for strategic site selection. 🔹 Analyze brand distribution & presence across different industries & regions.
Market Research & Competitive Analysis: 🔹 Track openings, closures & business density to assess industry trends. 🔹 Benchmark competitors based on location data & geographic presence.
Smart City & Infrastructure Planning: 🔹 Optimize city development projects with accurate POI & business location data. 🔹 Support public & commercial zoning strategies with real-world business insights.
💡 Why Choose Xverum’s Location Data? - 230M+ Verified Locations – One of the largest & most structured location datasets available. - Global Coverage – Spanning 249+ countries, with diverse business & industry data. - Regular Updates – Continuous discovery & refresh cycles ensure data accuracy. - Comprehensive Geographic & Business Metadata – Coordinates, addresses, industry categories & more. - Bulk Dataset Delivery (NO API) – Seamless access via S3 Bucket or cloud storage. - 100% Compliant – Ethically sourced & legally compliant.
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https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy
The IP geolocation software market is experiencing robust growth, driven by increasing demand for precise location intelligence across various sectors. The market, estimated at $1.5 billion in 2025, is projected to witness a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching an estimated $5 billion by 2033. This expansion is fueled by several key factors. The rising adoption of cloud-based solutions offers scalability and cost-effectiveness, attracting both SMEs and large enterprises. Furthermore, the escalating need for fraud prevention, cybersecurity enhancements, and personalized user experiences across industries like advertising, e-commerce, and financial services is significantly boosting market demand. Growth is also being propelled by advancements in data analytics capabilities, allowing businesses to derive more valuable insights from geolocation data. While data privacy regulations pose a challenge, the market is adapting by developing solutions that prioritize user consent and data security. The segmentation by application (SME vs. Large Enterprise) and deployment type (On-Premise vs. Cloud-Based) reveals a dynamic market landscape, with cloud-based solutions gaining significant traction due to their flexibility and accessibility. Regional analysis shows that North America currently holds a dominant market share, followed by Europe and Asia Pacific, with emerging markets in the Middle East and Africa presenting significant growth potential. The competitive landscape is characterized by a mix of established players and emerging companies, each offering distinct features and functionalities. Established players like MaxMind and Neustar leverage their extensive experience and vast databases to maintain a strong market presence. However, innovative startups are disrupting the market with agile solutions that cater to niche demands. The increasing integration of AI and machine learning into IP geolocation technologies enhances accuracy and predictive capabilities, further fueling market expansion. The market's future success hinges on the continued development of advanced algorithms, robust data infrastructure, and adherence to evolving data privacy regulations. The ability to provide accurate, reliable, and privacy-compliant location data will be crucial for sustained growth within this dynamic and rapidly evolving market.
https://www.caliper.com/license/maptitude-license-agreement.htmhttps://www.caliper.com/license/maptitude-license-agreement.htm
Business location data for Maptitude mapping software are from Caliper Corporation and contain point locations for businesses.