Revenue for the Surveying and Mapping Services industry has been volatile in the years since the pandemic. As the economy emerged from a short-lived downturn, surveyors were buoyed by strong residential construction resulting from record-low interest rates. Investment from the commercial sector also expanded as corporate profit soared. However, as the Federal Reserve raised the cost of borrowing to combat high inflation, homebuying and existing home improvements declined, severely inhibiting the residential sector and prompting a multi-year revenue decline for the industry. While interest rates have remained elevated, the 2021 Bipartisan Infrastructure Law has pumped millions of dollars into highway construction, civil engineering, mineral surveying and geospatial data processing, rewarding select surveying and mapping companies with hefty contracts. Thus, industry revenue is anticipated to grow at a CAGR of 2.0% through 2025, even as interest rates remain elevated. In 2025, the industry is projected to grow 1.8% with revenue totalling $11.5 billion.Advances in technology are revolutionizing surveying by enabling faster, more accurate data collection and processing. Mobile mapping tools, UAVs, 3D laser scanning and AI-driven analytics are streamlining workflows, reducing field time and expanding the range of services companies offer. These innovations are supporting complex projects in construction, infrastructure and smart city planning, while cloud-based GIS and automation are improving productivity. As these tools are becoming industry standards, companies that have been quick to adopt them have gained a competitive edge. This increased competition has left laggards behind, making innovation incumbent to sustaining profitability.The industry will continue to see modest expansion as steady economic growth will increase demand from the nonresidential sector. However, economic uncertainty and the expectation of conservative monetary policy by the Federal Reserve will continue to keep interest rates elevated, tempering the residential housing market. Still, surveyors will benefit from new home construction that is expected to rise above historical averages, especially in regions where job growth will support relocation. Through 2030, industry revenue is forecast to expand at a CAGR of 1.1% to reach $12.2 billion.

Navigation Map Market Outlook

The global navigation map market size was valued at USD 20.5 billion in 2023 and is projected to reach USD 45.8 billion by 2032, exhibiting a Compound Annual Growth Rate (CAGR) of 9.3% during the forecast period. The primary growth factor propelling this market is the increasing integration of advanced mapping technologies in automotive and mobile device industries, aimed at enhancing navigation and user experience.

One of the key drivers of the navigation map market is the rapid technological advancements in digital mapping and Geographic Information Systems (GIS). Innovations such as real-time traffic updates, augmented reality (AR) navigation, and highly detailed 3D maps are significantly enhancing the functionality and user experience of navigation systems. These advancements are crucial for the development of autonomous driving technologies, which rely heavily on precise and real-time mapping data. The proliferation of smartphones equipped with GPS capabilities has also expanded the demand for high-quality digital maps, further fueling market growth.

Another significant growth factor is the increasing demand for navigation solutions in the automotive industry. As automakers strive to enhance driver safety and convenience, the integration of advanced navigation systems has become a standard feature in modern vehicles. The advent of connected cars, which communicate with external systems for real-time traffic and route information, is further driving the need for sophisticated navigation maps. Additionally, the growing trend of ride-hailing and logistics services has necessitated the use of accurate and efficient navigation solutions to optimize routes and improve operational efficiency.

The commercial sector is also contributing to the growth of the navigation map market. Businesses are increasingly relying on advanced mapping solutions to streamline their operations, manage logistics, and enhance customer service. For instance, companies in the e-commerce and delivery services sectors use navigation maps to ensure timely and efficient deliveries. Moreover, the government and public sector are adopting navigation maps for urban planning, disaster management, and public safety applications. These diverse applications across various sectors are collectively driving the demand for navigation maps, thereby contributing to market expansion.

Regionally, North America holds a significant share of the navigation map market, driven by the presence of major technology companies and high adoption rates of advanced navigation solutions. The Asia Pacific region is expected to exhibit the highest growth rate during the forecast period, attributed to the rapid urbanization, increasing smartphone penetration, and growing automotive industry in countries like China and India. Europe also represents a substantial market share, supported by stringent regulations on vehicle safety and the presence of leading automotive manufacturers. The Middle East & Africa and Latin America are gradually adopting advanced navigation technologies, presenting potential growth opportunities in these regions.

The evolution of High Precision Map technology is revolutionizing the navigation map market, particularly in the realm of autonomous vehicles and advanced driver-assistance systems. These maps provide an unparalleled level of detail, including lane-level accuracy and precise positioning, which are essential for the safe and efficient operation of self-driving cars. High Precision Maps are not only crucial for navigation but also for enhancing the overall driving experience by integrating real-time data and predictive analytics. This technology allows vehicles to anticipate road conditions, optimize routes, and improve fuel efficiency, thereby contributing to the broader goals of sustainability and safety in the automotive industry.

Product Type Analysis

The navigation map market is segmented into digital maps and paper maps, each catering to different user preferences and applications. Digital maps are the dominant segment, driven by the widespread use of smartphones, tablets, and in-car navigation systems. Digital maps offer real-time updates, interactive features, and the ability to integrate with other applications, making them highly popular among users. The continuous advancements in digital mapping technologies, such as 3D mapping, AR navigation, and real-time traffic information, are further enhancing the appeal and functionality of digi

The Digital Elevation Model (DEM) market is experiencing robust growth, driven by increasing demand across various sectors. The market, estimated at $1.5 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 8% from 2025 to 2033, reaching approximately $2.8 billion by 2033. This expansion is fueled by several key factors. Firstly, the rising adoption of advanced surveying techniques, such as LiDAR and photogrammetry, is providing higher-resolution and more accurate DEMs, leading to wider application in diverse fields. Secondly, the increasing availability of high-resolution satellite imagery and improved processing capabilities are lowering the cost and increasing the accessibility of DEM data. Thirdly, government initiatives promoting spatial data infrastructure and the growing focus on smart city development are further driving market growth. Key applications include urban planning, infrastructure development, environmental monitoring, precision agriculture, and disaster management. The market is segmented by data resolution, acquisition method, application, and geography. Despite the positive outlook, challenges remain. Data accuracy and consistency, especially across different sources and regions, are ongoing concerns. Data integration and interoperability issues also need to be addressed for seamless data utilization across various applications. The high initial investment in specialized equipment and software can be a barrier for smaller companies entering the market. Furthermore, ensuring the privacy and security of geospatial data is crucial, particularly in light of increased regulatory scrutiny. The competitive landscape comprises both established players like Harris MapMart and National Map, alongside emerging companies offering innovative solutions. Companies are increasingly focusing on developing cloud-based platforms and integrating AI/ML algorithms to enhance data processing and analysis capabilities, fueling market innovation and growth.

This feature layer includes 3D seismic surveys SeismicINFO is marketing for oil and gas companies. Some surveys depicted on the map may not be available for purchase, and some surveys available for purchase may not be depicted on the map. Please visit us at http://www.seismicinfo.com or contact us at info@seismicinfo.com or (713) 244-4808 for more information.

Airborne electromagnetic (AEM), magnetic, and radiometric data were acquired in late February to early March 2018 along 2,364 line-kilometers in the Shellmound, Mississippi study area. Data were acquired by CGG Canada Services, Ltd. with three different helicopter-borne sensors: the CGG Canada Services, Ltd. RESOLVE frequency-domain AEM instrument that is used to map subsurface geologic structure at depths up to 100 meters, depending on the subsurface resistivity; a Scintrex CS-3 cesium vapor magnetometer that detects changes in deep (hundreds of meters to kilometers) geologic structure based on variations in the magnetic properties of different formations; and a Radiation Solutions RS-500 spectrometer that detects the abundance of natural radioelements potassium, uranium, and thorium in the upper 20-30 cm that is used to determine differences in soil constituents. The survey was flown at an average sensor flight height of 30 m above terrain to form block-style coverage with 250 to 1,000-meter spaced east-west flight lines. This data release includes the averaged and culled AEM data along all flight lines that were used to produce the final resistivity models (https://www.sciencebase.gov/catalog/item/5ca6a4e6e4b0c3b0064c2c2b). Digital data of the processed soundings are provided and fields are defined in the data dictionary (https://www.sciencebase.gov/catalog/item/5d0814b9e4b0e3d3115bdab6). An important driver for this survey is a managed aquifer recharge pilot project developed by the U.S. Department of Agriculture Agricultural Research Service investigating the use of bank filtration along the Tallahatchie River as a source for recharge in areas of significant groundwater decline by direct injection into the Mississippi River Valley Alluvial Aquifer (MRVA). Understanding the structure of the aquifer, including both shallow and deep confining units, is important for the success of this pilot engineering study and will be even more important for potential future large-scale engineering projects and groundwater model development efforts. REFERENCES U.S. Geological Survey, The National Map, 2017, 3DEP products and services: The National Map, 3D Elevation Program Web page, accessed October 2018 at https://nationalmap.gov/3DEP/3dep_prodserv.html.

Global LiDAR market is expected to grow at a CAGR of over 18% and is anticipated to hit USD 3,200 Million by 2026. LiDAR (light detection and ranging) is a remote sensing technology that makes use of advanced light-detecting sensors to measure ranges.

Airborne electromagnetic (AEM), magnetic, and radiometric data were acquired November 2018 to February 2019 along 16,816 line-kilometers (line-km) over the Mississippi Alluvial Plain (MAP). Data were acquired by CGG Canada Services, Ltd. with three different helicopter-borne sensors: the CGG Canada Services, Ltd. Resolve frequency-domain AEM instrument that is used to map subsurface geologic structure at depths up to 100 meters, depending on the subsurface resistivity; a Scintrex CS-3 cesium vapor magnetometer that detects changes in deep (hundreds of meters to kilometers) geologic structure based on variations in the magnetic properties of different formations; and a Radiation Solutions RS-500 spectrometer that detects the abundance of natural radioelements potassium, uranium, and thorium in the upper 20-30 cm that is used to determine differences in soil constituents. The survey was flown at a nominal sensor flight height of 30 m above terrain with 6- to 12-kilometer spaced east-west flight lines. The main survey block covers 13,641 line-km, including two north-south tie lines extending the length of the survey. Several rivers were surveyed along their center axes, covering 2,640 line-km (flight line numbers 8010000-8100001 nonsuccessive), and two separate inset grids were flown: (1) Crowley's Ridge in Arkansas with 1.5-km spaced east-west flight lines for a total of 406 line-km (flight line numbers 24025-24477 nonsuccessive) and (2) University of Memphis focus area in Tennessee with variable line spacing for a total of 129 line-km (flight line numbers 30010-30060 and 39010-39050 nonsuccessive). This data release includes minimally processed (raw) AEM data as supplied by CGG Canada Services, Ltd. (https://www.sciencebase.gov/catalog/item/5d76bafae4b0c4f70d01ffa1), the fully processed (averaged and culled) sounding data (https://www.sciencebase.gov/catalog/item/5d76bac9e4b0c4f70d01ff9d), and laterally constrained inverted resistivity depth sections along all flight lines (https://www.sciencebase.gov/catalog/item/5d76ba5ce4b0c4f70d01ff94), as well as unprocessed and processed (diurnally corrected and draped to terrain) magnetic data (https://www.sciencebase.gov/catalog/item/5d76bafae4b0c4f70d01ffa1), and unprocessed and processed (following International Atomic Energy Agency Technical Report procedures) radiometric data (https://www.sciencebase.gov/catalog/item/5d76bafae4b0c4f70d01ffa1). Data acquisition and minimal processing were conducted by CGG Canada Services, Ltd. and described in detail in the contractor's report. Digital data from production flights are provided, and data fields are defined in the data dictionary. A total field magnetic anomaly grid and a ternary radiometric image are provided as well (https://www.sciencebase.gov/catalog/item/5d76baaae4b0c4f70d01ff9a). REFERENCES International Atomic Energy Agency, 1991, Airborne Gamma Ray Spectrometer Surveying, Technical Reports Series No. 323, IAEA, Vienna, https://inis.iaea.org/collection/NCLCollectionStore/_Public/22/072/22072114.pdf. U.S. Geological Survey, The National Map, 2017, 3DEP products and services: The National Map, 3D Elevation Program Web page, accessed October 2018 at https://nationalmap.gov/3DEP/3dep_prodserv.html.

This feature layer includes 3D seismic surveys SeismicINFO is marketing for oil and gas companies. Some surveys depicted on the map may not be available for purchase, and some surveys available for purchase may not be depicted on the map. Please visit us at http://www.seismicinfo.com or contact us at info@seismicinfo.com or (713) 244-4808 for more information.

Gulf of Mexico Depth Contours derived from NOAA's NGDC bathymetric grids and from BOEM's seismic grid compilation. Both NOAA and BOEM contours are shown in meters or feet depending on the user's preference. Contours were created to compare and contrast the older NOAA NGDC grid to the newer BOEM gridded bathymetry described below: BOEM's deepwater Gulf of Mexico bathymetry grid. Created by mosaicing over 100 3D seismic surveys. XY grid size is 40ft and depth is in feet. Depth accurate to 0.1% (one-tenth of one-percent) of water depth in most places. Depth accuracy decreases slightly when approaching minimum (-200ft) and maximum (-11,000ft) depth extents due to the nature of the depth transformation method used. BOEM thanks the following companies for allowing BOEM use of their data to create this new map: CGG Services (U.S.) Inc., Houston, TX; Exxon; Geophysical Pursuit; PGS; Seitel; TGS; and WesternGeco, LLC.

This Hillshade Image Service has a cell/grid resolution of 186,007 x 154,552. From NJGIN Open Data this system only supports extractions of a maximum cell/grid resolution of 15,000 x 4,100. When downloading the entire dataset at full extent, it will be resampled on the fly by the system resulting in a resolution reduction when displayed at larger scales (zoomed in). If you want to achieve higher levels of detail using the download feature, you can zoom in to a specific area in the map above (using the +/- buttons or shift-click-drag on map) and use the Filtered Dataset option in the Download dropdown. The more zoomed in you are, the greater the detail will be retained. You may also consume the image service (https://maps.nj.gov/arcgis/rest/services/Elevation/NW_HSD/ImageServer) in an a Desktop client, such as ArcMap or ArcGIS Pro, to work with it directly.If you would like to request a copy of the hillshade and other data products from this project on your external hard drive, please see the NJGIN Elevation data page (https://njgin.nj.gov/njgin/edata/elevation/index.html).Explore the AGO Item (https://newjersey.maps.arcgis.com/home/item.html?id=395e9f88e51d402d9d5c821feaf53c97)Product: These lidar data are processed Classified LASv1.4 files, formatted to 2,843 individual 5,000 ft x 5,000 ft tiles; used to create intensity images, 3D breaklines and hydro-flattened DEMs as necessary. Geographic Extent: 6 counties, New Jersey, covering approximately 2,358 square miles. Dataset Description: Sussex, Passaic, Warren, Morris, Hunterdon, Somerset county, New Jersey 2018 Lidar project called for the Planning, Acquisition, processing and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.7 meter. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification, Version 1.3. The data was developed based on a horizontal projection/datum of NAD83 (2011), State Plane New Jersey, feet and vertical datum of NAVD88 (GEOID12B), feet. Lidar data was delivered as processed Classified LASv1.4 files, formatted to 2,843 individual 5,000 ft x 5,000 ft tiles, as tiled intensity imagery, and as tiled bare-earth DEMs; all tiled to the same 5,000 ft x 5,000 ft schema. Ground Conditions: Lidar was collected in early 2017 and 2018, while no snow was on the ground and rivers were at or below normal levels. In order to post process the lidar data to meet task order specifications and meet ASPRS vertical accuracy guidelines, The Sanborn Map Company, Inc. established a total of 30 ground control points that were used to calibrate the lidar to known ground locations established throughout the project area. An additional 140 independent accuracy check points, 79 in Open Terrain/Bare-Earth and Urban landcovers (79 NVA points), 61 in Grass, Brush and Trees categories (61 VVA points), were used to assess the vertical accuracy of the data. These check points were not used to calibrate or post process the data.