Street Noise-Level Dataset — Regulatory & Governmental Use

Silencio’s Street Noise-Level Dataset provides regulatory bodies, governmental agencies, and public health authorities with the most reliable and detailed data on environmental noise worldwide. Built from over 35 billion datapoints, collected via our mobile app and enhanced through AI-powered interpolation, this dataset covers hyper-local average noise levels (dBA) across streets, neighborhoods, and cities in over 200 countries.

Our dataset is specifically suited for noise regulation, environmental impact assessments, policy-making, and compliance monitoring. It offers objective, real-world acoustic data that goes beyond traditional noise models by combining actual user-collected measurements with AI-predicted values. Authorities can use the data to map noise pollution hotspots, monitor changes over time, enforce regulations, and inform sustainable urban and environmental strategies.

Silencio also operates the world’s largest noise complaint database, giving policymakers a unique tool to correlate objective noise exposure with subjective community reports for more people-focused decision-making.

Delivery options are flexible, including: • CSV exports • S3 bucket access • High-resolution image maps suitable for integration into reports, GIS platforms, or public communication.

The dataset is available both as historical records and continuously updated data. An API is currently in development, and we are open to early access discussions and custom integrations tailored to government and regulatory workflows.

Fully anonymized and fully GDPR-compliant, Silencio’s data supports transparent, evidence-based environmental and public health decision-making.

A Housing Land Audit (HLA) is a key document in the planning process that assesses the supply of land available for housing development within a local authority area. It provides a detailed account of the housing sites that are expected to contribute to the supply of new homes over a specific period, typically 5 to 10 years.Purpose of a Housing Land AuditMonitoring Housing Supply: It tracks the progress of housing developments and ensures that there is a sufficient pipeline of land to meet housing demand.Planning Policy Compliance: Helps local authorities and stakeholders assess whether housing targets set in local development plans are being met.Assessing Deliverability: Identifies sites that are immediately available for development and those that may require further planning, infrastructure, or land assembly before they can be built on.Supporting Decision-Making: Provides evidence for planning decisions, appeals, and policy reviews.Key Components of a Housing Land AuditEffective Housing Land Supply: Sites that are expected to be developed within a set period (usually five years) and are free of significant constraints.Constrained Housing Land Supply: Sites with constraints such as legal issues, lack of infrastructure, or landownership problems, making them unlikely to be developed in the short term.Completed Housing Developments: Records the number of houses built within the audit period.Future Housing Land Supply: Includes sites allocated in development plans for housing but not yet in the planning system.Who Uses a Housing Land Audit?Local Authorities – To guide planning policies and ensure sufficient land is available for housing.Developers & Housebuilders – To understand the availability of land and plan future housing developments.Government & Planning Inspectors – To assess whether councils are meeting housing targets.Communities & Stakeholders – To understand where new housing developments may be proposed in their area.

1. Cultural Ecosystem Services (CES) encompass a range of social, cultural and health benefits to local communities, for example recreation, spirituality, a sense of place and local identity. However, these complex and place-specific CES are often overlooked in rapid land management decisions and assessed using broad, top–down approaches. 2. We use the Toolkit for Ecosystem Service Site-based Assessment (TESSA) to examine a novel approach to rapid assessment of local CES provision using inductive, participatory methods. We combined free-listing and participatory geographic information systems (GIS) techniques to quantify and map perceptions of current CES provision of an urban green space. The results were then statistically compared with those of a proposed alternative scenario with the aim to inform future decision-making. 3. By identifying changes in the spatial hotspots of CES in our study area, we revealed a spatially-specific shift toward positive sentiment regarding several CES under the alternative state with variance across demographic and stakeholder groups. Response aggregations in areas of proposed development reveal previously unknown stakeholder preferences to local decision-makers and highlight potential trade-offs for conservation management. Free-listed responses revealed deeper insight into personal opinion and context. 4. This work serves as a useful case study on how the perceptions and opinions of local people regarding local CES could be accounted for in the future planning of an urban greenspace and how thorough analysis of CES provision is important to fully-inform local-scale conservation and planning for the mutual benefit of local communities and nature.

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Digital Map Market Size 2025-2029

The digital map market size is forecast to increase by USD 31.95 billion at a CAGR of 31.3% between 2024 and 2029.

The market is driven by the increasing adoption of intelligent Personal Digital Assistants (PDAs) and the availability of location-based services. PDAs, such as smartphones and smartwatches, are becoming increasingly integrated with digital map technologies, enabling users to navigate and access real-time information on-the-go. The integration of Internet of Things (IoT) enables remote monitoring of cars and theft recovery. Location-based services, including mapping and navigation apps, are a crucial component of this trend, offering users personalized and convenient solutions for travel and exploration. However, the market also faces significant challenges.
Ensuring the protection of sensitive user information is essential for companies operating in this market, as trust and data security are key factors in driving user adoption and retention. Additionally, the competition in the market is intense, with numerous players vying for market share. Companies must differentiate themselves through innovative features, user experience, and strong branding to stand out in this competitive landscape. Security and privacy concerns continue to be a major obstacle, as the collection and use of location data raises valid concerns among consumers.

What will be the Size of the Digital Map Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
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In the market, cartographic generalization and thematic mapping techniques are utilized to convey complex spatial information, transforming raw data into insightful visualizations. Choropleth maps and dot density maps illustrate distribution patterns of environmental data, economic data, and demographic data, while spatial interpolation and predictive modeling enable the estimation of hydrographic data and terrain data in areas with limited information. Urban planning and land use planning benefit from these tools, facilitating network modeling and location intelligence for public safety and emergency management.

Spatial regression and spatial autocorrelation analyses provide valuable insights into urban development trends and patterns. Network analysis and shortest path algorithms optimize transportation planning and logistics management, enhancing marketing analytics and sales territory optimization. Decision support systems and fleet management incorporate 3D building models and real-time data from street view imagery, enabling effective resource management and disaster response. The market in the US is experiencing robust growth, driven by the integration of Geographic Information Systems (GIS), Global Positioning Systems (GPS), and advanced computer technology into various industries.

How is this Digital Map Industry segmented?

The digital map industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Application

  Navigation
  Geocoders
  Others


Type

  Outdoor
  Indoor


Solution

  Software
  Services


Deployment

  On-premises
  Cloud


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    UK


  APAC

    China
    India
    Indonesia
    Japan
    South Korea


  Rest of World (ROW)

By Application Insights

The navigation segment is estimated to witness significant growth during the forecast period. Digital maps play a pivotal role in various industries, particularly in automotive applications for driver assistance systems. These maps encompass raster data, aerial photography, government data, and commercial data, among others. Open-source data and proprietary data are integrated to ensure map accuracy and up-to-date information. Map production involves the use of GPS technology, map projections, and GIS software, while map maintenance and quality control ensure map accuracy. Location-based services (LBS) and route optimization are integral parts of digital maps, enabling real-time navigation and traffic data.

Data validation and map tiles ensure data security. Cloud computing facilitates map distribution and map customization, allowing users to access maps on various devices, including mobile mapping and indoor mapping. Map design, map printing, and reverse geocoding further enhance the user experience. Spatial analysis and data modeling are essential for data warehousing and real-time navigation. The automotive industry's increasing adoption of connected cars and long-term evolution (LTE) technologies have fueled the demand for digital maps. These maps enable driver assistance app

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Geographic Information System Analytics Market Size 2024-2028

The geographic information system analytics market size is forecast to increase by USD 12 billion at a CAGR of 12.41% between 2023 and 2028.

The GIS Analytics Market analysis is experiencing significant growth, driven by the increasing need for efficient land management and emerging methods in data collection and generation. The defense industry's reliance on geospatial technology for situational awareness and real-time location monitoring is a major factor fueling market expansion. Additionally, the oil and gas industry's adoption of GIS for resource exploration and management is a key trend. Building Information Modeling (BIM) and smart city initiatives are also contributing to market growth, as they require multiple layered maps for effective planning and implementation. The Internet of Things (IoT) and Software as a Service (SaaS) are transforming GIS analytics by enabling real-time data processing and analysis.
Augmented reality is another emerging trend, as it enhances the user experience and provides valuable insights through visual overlays. Overall, heavy investments are required for setting up GIS stations and accessing data sources, making this a promising market for technology innovators and investors alike.

What will be the Size of the GIS Analytics Market during the forecast period?

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The geographic information system analytics market encompasses various industries, including government sectors, agriculture, and infrastructure development. Smart city projects, building information modeling, and infrastructure development are key areas driving market growth. Spatial data plays a crucial role in sectors such as transportation, mining, and oil and gas. Cloud technology is transforming GIS analytics by enabling real-time data access and analysis. Startups are disrupting traditional GIS markets with innovative location-based services and smart city planning solutions. Infrastructure development in sectors like construction and green buildings relies on modern GIS solutions for efficient planning and management. Smart utilities and telematics navigation are also leveraging GIS analytics for improved operational efficiency.
GIS technology is essential for zoning and land use management, enabling data-driven decision-making. Smart public works and urban planning projects utilize mapping and geospatial technology for effective implementation. Surveying is another sector that benefits from advanced GIS solutions. Overall, the GIS analytics market is evolving, with a focus on providing actionable insights to businesses and organizations.

How is this Geographic Information System Analytics Industry segmented?

The geographic information system analytics 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-user

  Retail and Real Estate
  Government
  Utilities
  Telecom
  Manufacturing and Automotive
  Agriculture
  Construction
  Mining
  Transportation
  Healthcare
  Defense and Intelligence
  Energy
  Education and Research
  BFSI


Components

  Software
  Services


Deployment Modes

  On-Premises
  Cloud-Based


Applications

  Urban and Regional Planning
  Disaster Management
  Environmental Monitoring Asset Management
  Surveying and Mapping
  Location-Based Services
  Geospatial Business Intelligence
  Natural Resource Management


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    UK


  APAC

    China
    India
    South Korea


  Middle East and Africa

    UAE


  South America

    Brazil


  Rest of World

By End-user Insights

The retail and real estate segment is estimated to witness significant growth during the forecast period.

The GIS analytics market analysis is witnessing significant growth due to the increasing demand for advanced technologies in various industries. In the retail sector, for instance, retailers are utilizing GIS analytics to gain a competitive edge by analyzing customer demographics and buying patterns through real-time location monitoring and multiple layered maps. The retail industry's success relies heavily on these insights for effective marketing strategies. Moreover, the defense industries are integrating GIS analytics into their operations for infrastructure development, permitting, and public safety. Building Information Modeling (BIM) and 4D GIS software are increasingly being adopted for construction project workflows, while urban planning and designing require geospatial data for smart city planning and site selection.

The oil and gas industry is leveraging satellite imaging and IoT devices for land acquisition and mining operations. In the public sector,

At Driver Technologies, we specialize in collecting high-quality, highly-anonymized, driving data crowdsourced using our dash cam app. Our Traffic Light Map Video Data is built from the millions of miles of driving data captured and is optimized to be trained for whatever computer vision models you need and enhancing various applications in transportation and safety.

What Makes Our Data Unique? What sets our Traffic Light Map Video Data apart is its comprehensive approach to road object detection. By leveraging advanced computer vision models, we analyze the captured video to identify and classify various road objects encountered during an end user's trip. This includes road signs, pedestrians, vehicles, traffic signs, and road conditions, resulting in rich, annotated datasets that can be used for a range of applications.

How Is the Data Generally Sourced? Our data is sourced directly from users who utilize our dash cam app, which harnesses the smartphone’s camera and sensors to record during a trip. This direct sourcing method ensures that our data is unbiased and represents a wide variety of conditions and environments. The data is not only authentic and reflective of current road conditions but is also abundant in volume, offering millions of miles of recorded trips that cover diverse scenarios.

Primary Use-Cases and Verticals The Traffic Light Map Video Data is tailored for various sectors, particularly those involved in transportation, urban planning, and autonomous vehicle development. Key use cases include:

Training Computer Vision Models: Clients can utilize our annotated data to develop and refine their own computer vision models for applications in autonomous vehicles, ensuring better object detection and decision-making capabilities in complex road environments.

Urban Planning and Infrastructure Development: Our data helps municipalities understand road usage patterns, enabling them to make informed decisions regarding infrastructure improvements, safety measures, and traffic light placement. Our data can also aid in making sure municipalities have an accurate count of signs in their area.

Integration with Our Broader Data Offering The Traffic Light Map Video Data is a crucial component of our broader data offerings at Driver Technologies. It complements our extensive library of driving data collected from various vehicles and road users, creating a comprehensive data ecosystem that supports multiple verticals, including insurance, automotive technology, and computer vision models.

In summary, Driver Technologies' Traffic Light Map Video Data provides a unique opportunity for data buyers to access high-quality, actionable insights that drive innovation across mobility. By integrating our Traffic Light Map Video Data with other datasets, clients can gain a holistic view of transportation dynamics, enhancing their analytical capabilities and decision-making processes.

ESYS plc and the Department of Geomatic Engineering at University College London (UCL) have been funded by the British National Space Centre (BNSC) to develop a web GIS service to serve geographic data derived from remote sensing datasets. Funding was provided as part of the BNSC International Co-operation Programme 2 (ICP-2).

Particular aims of the project were to:

1. use Open Geospatial Consortium (OGC, recently renamed from the OpenGIS Consortium) technologies for map and data serving;

2. serve datasets for Europe and Africa, particularly Landsat TM and Shuttle Radar Topography Mission (SRTM) digital elevation model (DEM) data;

3. provide a website giving access to the served data;

4. provide software scripts, etc., and a document reporting the data processing and software set-up methods developed during the project.

ICEDS was inspired in particular by the Committee on Earth Observing Satellites (CEOS) CEOS Landsat and SRTM Project (CLASP) proposal. An express intention of ICEDS (aim 4 in the list above) was therefore that the solution developed by ESYS and UCL should be redistributable, for example, to other CEOS members. This was taken to mean not only software scripts but also the methods developed by the project team to prepare the data and set up the server. In order to be compatible with aim 4, it was also felt that the use of Open Source, or at least 'free-of-cost' software for the Web GIS serving was an essential component. After an initial survey of the Web GIS packages available at the time , the ICEDS team decided to use the Deegree package, a free software initiative founded by the GIS and Remote Sensing unit of the Department of Geography, University of Bonn , and lat/lon . However the Red Spider web mapping software suite was also provided by IONIC Software - this is a commercial web mapping package but was provided pro bono by IONIC for this project and has been used in parallel to investigate the possibilities and limitations opened up by using a commercial package.

http://iceds.ge.ucl.ac.uk/

Unlock precise, high-quality Map data covering 164M+ verified locations across 220+ countries. With 50+ enriched attributes including coordinates, building structures, and spatial geometry our dataset provides the granularity and accuracy needed for in-depth spatial analysis. Powered by AI-driven enrichment and deduplication, and backed by 30+ years of expertise, our GIS solutions support industries ranging from mapping and navigation to urban planning and market analysis, helping businesses and organizations make smarter, data-driven decisions.

Key use cases of GIS Data helping our customers :

1. Optimize Mapping & Spatial Analysis : Use GIS data to analyse landscapes, urban infrastructure, and competitor locations, ensuring data-driven planning and decision-making.
2. Enhance Navigation & Location-Based Services : Improve real-time route planning, asset tracking, and EV charging station discovery for seamless location-based experiences.
3. Identify Strategic Sites for Business Expansion : Leverage GIS intelligence to select optimal retail sites, franchise locations, and warehouses with precision.
4. Improve Logistics & Address Accuracy : Streamline delivery networks, validate addresses, and optimize courier routes to boost efficiency and customer satisfaction.
5. Support Environmental & Urban Development Initiatives : Utilize GIS insights for disaster preparedness, sustainable city planning, and land-use management.

APISCRAPY, your premier provider of Map Data solutions. Map Data encompasses various information related to geographic locations, including Google Map Data, Location Data, Address Data, and Business Location Data. Our advanced Google Map Data Scraper sets us apart by extracting comprehensive and accurate data from Google Maps and other platforms.

What sets APISCRAPY's Map Data apart are its key benefits:

1. Accuracy: Our scraping technology ensures the highest level of accuracy, providing reliable data for informed decision-making. We employ advanced algorithms to filter out irrelevant or outdated information, ensuring that you receive only the most relevant and up-to-date data.

2. Accessibility: With our data readily available through APIs, integration into existing systems is seamless, saving time and resources. Our APIs are easy to use and well-documented, allowing for quick implementation into your workflows. Whether you're a developer building a custom application or a business analyst conducting market research, our APIs provide the flexibility and accessibility you need.

3. Customization: We understand that every business has unique needs and requirements. That's why we offer tailored solutions to meet specific business needs. Whether you need data for a one-time project or ongoing monitoring, we can customize our services to suit your needs. Our team of experts is always available to provide support and guidance, ensuring that you get the most out of our Map Data solutions.

Our Map Data solutions cater to various use cases:

1. B2B Marketing: Gain insights into customer demographics and behavior for targeted advertising and personalized messaging. Identify potential customers based on their geographic location, interests, and purchasing behavior.

2. Logistics Optimization: Utilize Location Data to optimize delivery routes and improve operational efficiency. Identify the most efficient routes based on factors such as traffic patterns, weather conditions, and delivery deadlines.

3. Real Estate Development: Identify prime locations for new ventures using Business Location Data for market analysis. Analyze factors such as population density, income levels, and competition to identify opportunities for growth and expansion.

4. Geospatial Analysis: Leverage Map Data for spatial analysis, urban planning, and environmental monitoring. Identify trends and patterns in geographic data to inform decision-making in areas such as land use planning, resource management, and disaster response.

5. Retail Expansion: Determine optimal locations for new stores or franchises using Location Data and Address Data. Analyze factors such as foot traffic, proximity to competitors, and demographic characteristics to identify locations with the highest potential for success.

6. Competitive Analysis: Analyze competitors' business locations and market presence for strategic planning. Identify areas of opportunity and potential threats to your business by analyzing competitors' geographic footprint, market share, and customer demographics.

Experience the power of APISCRAPY's Map Data solutions today and unlock new opportunities for your business. With our accurate and accessible data, you can make informed decisions, drive growth, and stay ahead of the competition.

[ Related tags: Map Data, Google Map Data, Google Map Data Scraper, B2B Marketing, Location Data, Map Data, Google Data, Location Data, Address Data, Business location data, map scraping data, Google map data extraction, Transport and Logistic Data, Mobile Location Data, Mobility Data, and IP Address Data, business listings APIs, map data, map datasets, map APIs, poi dataset, GPS, Location Intelligence, Retail Site Selection, Sentiment Analysis, Marketing Data Enrichment, Point of Interest (POI) Mapping]

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GIS Market Size 2025-2029

The GIS market size is forecast to increase by USD 24.07 billion, at a CAGR of 20.3% between 2024 and 2029.

The Global Geographic Information System (GIS) market is experiencing significant growth, driven by the increasing integration of Building Information Modeling (BIM) and GIS technologies. This convergence enables more effective spatial analysis and decision-making in various industries, particularly in soil and water management. However, the market faces challenges, including the lack of comprehensive planning and preparation leading to implementation failures of GIS solutions. Companies must address these challenges by investing in thorough project planning and collaboration between GIS and BIM teams to ensure successful implementation and maximize the potential benefits of these advanced technologies.
By focusing on strategic planning and effective implementation, organizations can capitalize on the opportunities presented by the growing adoption of GIS and BIM technologies, ultimately driving operational efficiency and innovation.

What will be the Size of the GIS Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
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The global Geographic Information Systems (GIS) market continues to evolve, driven by the increasing demand for advanced spatial data analysis and management solutions. GIS technology is finding applications across various sectors, including natural resource management, urban planning, and infrastructure management. The integration of Bing Maps, terrain analysis, vector data, Lidar data, and Geographic Information Systems enables precise spatial data analysis and modeling. Hydrological modeling, spatial statistics, spatial indexing, and route optimization are essential components of GIS, providing valuable insights for sectors such as public safety, transportation planning, and precision agriculture. Location-based services and data visualization further enhance the utility of GIS, enabling real-time mapping and spatial analysis.

The ongoing development of OGC standards, spatial data infrastructure, and mapping APIs continues to expand the capabilities of GIS, making it an indispensable tool for managing and analyzing geospatial data. The continuous unfolding of market activities and evolving patterns in the market reflect the dynamic nature of this technology and its applications.

How is this GIS Industry segmented?

The GIS industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Product

  Software
  Data
  Services


Type

  Telematics and navigation
  Mapping
  Surveying
  Location-based services


Device

  Desktop
  Mobile


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    UK


  Middle East and Africa

    UAE


  APAC

    China
    Japan
    South Korea


  South America

    Brazil


  Rest of World (ROW)

By Product Insights

The software segment is estimated to witness significant growth during the forecast period.

The Global Geographic Information System (GIS) market encompasses a range of applications and technologies, including raster data, urban planning, geospatial data, geocoding APIs, GIS services, routing APIs, aerial photography, satellite imagery, GIS software, geospatial analytics, public safety, field data collection, transportation planning, precision agriculture, OGC standards, location intelligence, remote sensing, asset management, network analysis, spatial analysis, infrastructure management, spatial data standards, disaster management, environmental monitoring, spatial modeling, coordinate systems, spatial overlay, real-time mapping, mapping APIs, spatial join, mapping applications, smart cities, spatial data infrastructure, map projections, spatial databases, natural resource management, Bing Maps, terrain analysis, vector data, Lidar data, and geographic information systems.

The software segment includes desktop, mobile, cloud, and server solutions. Open-source GIS software, with its industry-specific offerings, poses a challenge to the market, while the adoption of cloud-based GIS software represents an emerging trend. However, the lack of standardization and interoperability issues hinder the widespread adoption of cloud-based solutions. Applications in sectors like public safety, transportation planning, and precision agriculture are driving market growth. Additionally, advancements in technologies like remote sensing, spatial modeling, and real-time mapping are expanding the market's scope.

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The Software segment was valued at USD 5.06 billion in 2019

The dataset has been created by http://www.gigl.org.uk" target="_blank">Greenspace Information for Greater London CIC (GiGL). GiGL mobilises, curates and shares data that underpin our knowledge of London’s natural environment. We provide impartial evidence to enable informed discussion and decision-making in policy and practice.

GiGL maps under licence from the https://www.london.gov.uk/" target="_blank">Greater London Authority. Research for this dataset has been assisted by https://www.theguardian.com/cities" target="_blank">The Guardian Cities team.

Data sources

Boundaries and attributes are based on GiGL’s http://www.gigl.org.uk/our-data-holdings/open-spaces/" target="_blank">Open Space dataset, which is a collated dataset of spatial and attribute information from various sources, including: habitat and open space survey information provided to GiGL by the GLA and London boroughs, borough open space survey information where provided to GiGL or available under open licence, other attribute information inferred from field visits or research. Available open space information has been analysed by GiGL to identify POPS included in this dataset. Future updates to the GiGL Open Space dataset will inform future, improved releases of the POPS dataset.

Definition

For the purposes of creating the dataset, POPS have been carefully defined as below. The definition is based on review of similar definitions internationally and appropriateness for application to available London data.

Privately Owned Public Spaces (POPS): publicly accessible spaces which are provided and maintained by private developers, offices or residential building owners. They include city squares, atriums and small parks. The spaces provide several functional amenities for the public. They are free to enter and may be open 24 hours or have restricted access arrangements. Whilst the spaces look public, there are often constraints to use.

For the Greater London dataset no consideration is taken as to a site’s formal status in planning considerations, and only unenclosed POPS are included.

POPS may be destination spaces, which attract visitors from outside of the space’s immediate area and are designed for use by a broad audience, or neighbourhood spaces, which draw residents and employees from the immediate locale and are usually strongly linked with the adjacent street or host building. These spaces are of high quality and include a range of amenities. The POPS may also be a hiatus space, accommodating the passing user for a brief stop only – for example it may include seating but few other amenities, a circulation space, designed to improve a pedestrian’s journey from A to B, or a marginal space, which whilst a public space is not very accommodating and experiences low levels of usage. (Ref: Privately Owned Public Space: The New York City Experience, by Jerold S. Kayden, The New York City Department of City Planning, and the Municipal Art Society of New York, published by John Wiley & Sons, 2000).

NOTE: The boundaries are based on Ordnance Survey mapping and the data is published under Ordnance Survey's 'presumption to publish'.

Contains OS data © Crown copyright and database rights 2017.

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3D Mapping And Modeling Market Size 2025-2029

The 3d mapping and modeling market size is forecast to increase by USD 35.78 billion, at a CAGR of 21.5% between 2024 and 2029.

The market is experiencing significant growth, driven primarily by the increasing adoption in smart cities and urban planning projects. This trend is attributed to the ability of 3D mapping and modeling technologies to provide accurate and detailed visualizations of complex urban environments, enabling more efficient planning and management. Another key driver is the emergence of digital twin technology, which allows for real-time monitoring and simulation of physical assets in a digital environment. However, the market also faces challenges, most notably privacy and security concerns. With the increasing use of 3D mapping and modeling in various applications, there is a growing risk of data breaches and unauthorized access to sensitive information. As such, companies must prioritize robust security measures to protect customer data and maintain trust. Additionally, the high cost of implementing and maintaining these technologies remains a barrier to entry for some organizations. Despite these challenges, the market's potential for innovation and growth is substantial, with opportunities for companies to capitalize on emerging trends and navigate challenges effectively.

What will be the Size of the 3D Mapping And Modeling Market during the forecast period?

Request Free SampleThe market continues to evolve, driven by advancements in spatial data acquisition, project management, and navigation systems. BIM software, artificial intelligence (AI), and 3D visualization services are increasingly integrated into infrastructure management, real estate development, and cultural heritage preservation. Image recognition and 3D scanning are revolutionizing asset management and virtual reality (VR) applications. In precision agriculture, AI development and machine learning enable object detection and scene understanding, while data analysis and processing facilitate more efficient crop management. Autonomous vehicles and remote sensing rely on 3D modeling software and point cloud processing for accurate environmental monitoring. Additive manufacturing and 3D printing services are transforming industries, from construction to healthcare, with advancements in 3D modeling software, materials, and processing techniques. Urban planning benefits from AI-driven data analytics and 3D model optimization for smarter city design. Deep learning and computer vision are enhancing object tracking and data visualization services, while software development and spatial analysis are improving facility management and location-based services. The ongoing integration of these technologies is shaping a dynamic and innovative market landscape.

How is this 3D Mapping And Modeling Industry segmented?

The 3d mapping and modeling industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments. Product Type3D modeling3D mappingComponentSoftwareServicesGeographyNorth AmericaUSCanadaEuropeFranceGermanyItalyUKAPACChinaIndiaJapanSouth KoreaRest of World (ROW)

By Product Type Insights

The 3d modeling segment is estimated to witness significant growth during the forecast period.The 3D modeling market encompasses the creation of three-dimensional digital representations of objects, environments, and surfaces, finding extensive applications in industries such as architecture, gaming, film production, product design, and medical imaging. This technology's integration has revolutionized these sectors, fostering more precise and efficient design, planning, and analysis. Key technologies driving this market include computer-aided design (CAD) software, 3D scanning and rendering, simulation and animation tools, and geospatial data. CAD is a cornerstone technology in architecture, engineering, and manufacturing, enabling professionals to create intricate and accurate designs. 3D scanning and rendering technologies convert physical objects into digital models, crucial for industries where exact replicas are required. Artificial intelligence (AI) and machine learning algorithms are increasingly integrated into 3D modeling, enhancing object detection, computer vision, and data analysis capabilities. Virtual reality (VR) and augmented reality (AR) technologies are transforming 3D modeling by providing immersive experiences for design visualization, enabling better scene understanding and spatial analysis. Precision agriculture employs 3D modeling for terrain modeling and crop monitoring, while infrastructure management uses it for asset management and urban planning. 3D modeling is also instrumental in heritage preservation, environmental monitoring, and ad

Silencio’s Noise Pollution Index Maps provide on-demand, high-resolution visualizations of urban and regional noise patterns worldwide. Built from 35 billion+ real noise measurements and AI-enhanced interpolation, these maps are designed for seamless integration into GIS platforms, smart city dashboards, and real estate location intelligence tools. Only available on request - data in sample is the measurement basis on which the maps are created.

Maps are generated on-demand for: • Cities, regions, or custom-defined areas globally • Real estate platforms for environmental and livability scoring • Government portals and dashboards for noise regulation, urban planning, and public health monitoring • Smart city applications to visualize urban soundscapes and improve planning and infrastructure design

Key Features: • Global coverage with consistent high-density data across continents • Generated specifically based on client-selected regions or cities • Fully GIS-ready in high-resolution image formats • Derived from real measurements combined with AI-powered interpolation for accuracy

Flexible delivery via image exports and available for custom licensing.

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.

Access Xverum’s 230M+ Location Data for mapping, geographic analysis & business intelligence. Request a free sample or contact us to customize your dataset today!

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?

• 230M+ Verified POI Records – One of the largest & most detailed location datasets available.
• Global Coverage – POI data from 249+ countries, covering all major business sectors.
• Regular Updates – Ensuring accurate tracking of business openings & closures.
• Comprehensive Geographic & Business Data – Coordinates, addresses, categories, and more.
• Bulk Dataset Delivery – S3 Bucket & cloud storage delivery for full dataset access.
• 100% Compliant – Ethically sourced, privacy-compliant 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!

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!

Fruit Juice Retail Mapping – In-Store Product Availability, Pricing, and Shelf Visibility

This dataset offers granular, on-the-ground intelligence on the presence, pricing, shelf positioning, and availability of packaged fruit juice brands across various retail outlets. Captured by field agents directly from stores, the data includes structured inputs such as outlet attributes, product barcodes, pricing, shelf photos, and product availability checks. It is designed to help FMCG teams track in-store performance, benchmark competitors, and optimize retail execution strategies in real time.

Core Value Proposition Retail environments are dynamic, and winning at the shelf requires timely, accurate data on how products are being positioned and priced across thousands of locations. This dataset bridges that gap by providing a real-world, store-level view into the execution of fruit juice products—across both modern and traditional retail formats.

It enables stakeholders to move beyond assumptions and market averages, offering visibility into specific brands, SKUs, and store types. Teams can assess the effectiveness of distribution strategies, monitor compliance with planograms or promotional campaigns, and uncover competitive gaps across different regions.

Use Cases by Role Trade Marketing Teams

Verify on-shelf product presence and identify visibility gaps across retail partners

Monitor planogram compliance with real photo documentation

Compare pricing vs. competitors in-store to ensure promotional pricing is effective

Track availability of new SKUs or promotional bundles

Sales & Field Operations

Prioritize store visits based on stockout frequency or missing SKUs

Identify retailers not carrying key products or brands and target them for onboarding

Validate retail execution of in-market activations or price drops

Map payment method availability for potential POS integrations or retail enablement

Brand & Category Managers

Measure retail footprint and market penetration at the brand level

Benchmark share of shelf and price positioning versus competitors across retail types

Identify regional pricing inconsistencies or availability issues

Understand consumer-facing shelf experience using storefront and shelf photos

Insights & Strategy Teams

Segment retail environments by outlet type, city, or region for performance benchmarking

Identify trends in availability, pricing, and product assortment

Support business cases for expanding into underserved channels or cities

Feed data into forecasting or market sizing models using actual in-store coverage

Revenue Growth & Pricing Teams

Monitor how price strategies are being executed in the field

Identify unauthorized discounting or pricing inconsistencies by outlet

Evaluate price sensitivity by comparing prices across similar store types

Use competitor pricing benchmarks to refine promotional calendars

Key Data Components Outlet Details

Outlet Name, Type, Address, City, Country, Latitude, Longitude These fields provide context around where the product data was captured, supporting regional and channel segmentation.

Storefront & Section Photos

Storefront Photo, Juice Section Photo Visual confirmation of retail execution and visibility, allowing internal teams to audit displays and merchandising quality.

Product Availability & Pricing

Is [Brand] Available? fields for each juice brand (e.g., Chivita, Capri-sun, Ribena, etc.)

Price, Barcode, and Shelf Photo for each product These fields allow for detailed, SKU-level tracking of which products are available, at what price, and how they appear on the shelf.

Additional Retail Attributes

Payment Methods, Products Offered, Additional Attributes These help teams understand store-level characteristics that may influence sales strategy, such as whether the outlet supports mobile payments or carries complementary categories.

Competitive Tracking Brands included in the dataset (e.g., Chivita Orange, Happy Hour, Active, Capri-sun, Ribena, 5Alive, Frudi, LaCasera, Sosa, Wilson’s Lemonade, etc.) are all tracked for:

On-shelf presence (yes/no)

Price

Barcode

Shelf-level photo capture

This makes the dataset a strong foundation for competitive audits, pricing analysis, and retail presence benchmarking across brands and territories.

Summary The Fruit Juice Retail Mapping dataset provides the ground truth for how fruit juice products are presented, priced, and positioned at the point of sale. It’s built to enable smarter decision-making across marketing, sales, trade, and insights functions—helping teams move faster, identify gaps, and act on opportunities with precision. Whether the goal is to improve coverage, enforce pricing policy, design promotions, or win more shelf space, this data offers the visibility needed to execute with confidence.

Street Noise-Level — Statistically Interpolated + Processed Measurements

Connect with our experts for the world’s most comprehensive Street Noise-Level Dataset. Access hyper-local and global average noise levels (dBA) from public streets across over 200 countries. This dataset, built using over 35 billion datapoints and developed in collaboration with leading acoustics professionals, provides unparalleled insight into real-world urban soundscapes. Unlike conventional noise models, which rely solely on simulations, our dataset combines real measurements with AI-powered interpolation to deliver statistically robust, highly accurate, and spatially complete noise-level data.

Power Your AI & Urban Analytics with Real-World Noise Insights

What makes this dataset unique? Silencio’s processed and interpolated Street Noise-Level Dataset is the largest and most precise global collection of acoustic data available. It integrates real user-collected measurements with AI-driven modeling, ensuring unmatched ground truth for AI training, urban intelligence, and noise-impact assessments.

Optimized for AI, Urban Planning & Research:

Empower your AI models and spatial analyses with rich, diverse, and realistic noise data. Ideal for sound recognition, smart cities, mobility modeling, noise mapping, real estate analysis, and sustainable urban planning.

Trusted & Compliant:

All data is collected via our mobile app, strictly anonymized, fully consented, and 100% GDPR-compliant — ensuring privacy and ethical integrity.

Historical & Up-to-Date:

Leverage both historical and continuously updated noise data to uncover trends, detect change, and power predictive models.

Hyper-Local & Global Coverage:

With coverage of over 200 countries and high spatial granularity, the dataset provides insights from the city level down to street segments.

Seamless Integration:

Delivered via CSV exports or S3 bucket delivery (APIs coming soon) for easy integration into AI training pipelines, geospatial tools, or analytics platforms.