The global 3D Mapping Software market is estimated to be valued at XXX million in 2025, and is projected to reach a CAGR of XX% during the forecast period 2025-2033. The market growth is attributed to factors such as increasing adoption of 3D mapping technology in construction, automobile, and transportation industries, growing demand for video entertainment, and rising need for accurate and reliable mapping data. Key drivers of the market include advancements in sensor technology, the increasing adoption of autonomous vehicles, and the growing popularity of virtual and augmented reality technologies. The market is segmented based on application, type, and region. The construction segment is expected to hold the largest market share due to the increasing adoption of 3D mapping technology for building information modeling (BIM) and facility management. The on-cloud segment is expected to grow at the fastest rate during the forecast period due to the increasing adoption of cloud-based services. The North America region is expected to dominate the market during the forecast period due to the presence of key players and the early adoption of 3D mapping technology. This comprehensive report provides an in-depth analysis of the global 3D mapping software market, with a focus on key industry trends, market dynamics, and competitive landscapes. The report offers valuable insights into the market's current size and growth potential, along with detailed segmentations and regional analysis.

The size and share of the market is categorized based on Type (3D Mapping, 3D Modeling) and Application (Building and Construction, Automotive, Healthcare, ) and geographical regions (North America, Europe, Asia-Pacific, South America, and Middle-East and Africa).

The size and share of the market is categorized based on Type (3D Projection Mapping, Mapping and Navigation, Others) and Application (Healthcare, Building and Construction, Others) and geographical regions (North America, Europe, Asia-Pacific, South America, and Middle-East and Africa).

Explore the 3D Mapping And Modeling Global Market Report 2025 Market trends! Covers key players, growth rate 19.5% CAGR, market size $18.83 Billion, and forecasts to 2033. Get insights now!

The 3D mapping and modeling market is experiencing robust growth, projected to reach a value of $7.86 billion in 2025 and exhibiting a Compound Annual Growth Rate (CAGR) of 19.47% from 2025 to 2033. This expansion is driven by several key factors. The increasing adoption of 3D technology across diverse sectors, including architecture, engineering, construction (AEC), gaming, filmmaking, and autonomous vehicles, fuels market demand. Furthermore, advancements in sensor technology (LiDAR, photogrammetry), the rise of cloud computing for data processing and storage, and the growing availability of user-friendly software solutions are significantly contributing to market growth. The market is segmented into 3D modeling and 3D mapping, with software and services as key components. North America, particularly the US, currently holds a significant market share, fueled by early adoption and technological advancements. However, the Asia-Pacific region, specifically China, Japan, and South Korea, is expected to witness rapid growth in the coming years due to increasing infrastructure development and investments in digital technologies. Competitive pressures exist among major players like Autodesk, Bentley Systems, Esri, and Adobe, each employing strategies such as strategic partnerships, acquisitions, and product innovation to maintain market leadership. The market's growth, however, might be restrained by the high initial investment costs associated with 3D mapping and modeling technologies, the need for skilled professionals to operate the software and interpret data, and data security and privacy concerns related to the handling of large geospatial datasets. The forecast period (2025-2033) presents substantial opportunities for market expansion. Continued innovation in areas such as AI-powered image processing, real-time 3D mapping for augmented reality applications, and the integration of 3D models with Building Information Modeling (BIM) software are set to further drive market growth. Companies are actively focusing on developing more efficient and cost-effective solutions, which will broaden the accessibility of 3D mapping and modeling technologies to a wider range of users and industries. This will ultimately lead to a more widespread adoption across various sectors, fueling continued market expansion throughout the forecast period.

Global 3D mapping and 3D modeling Market size was valued USD 5.86 Billion in 2023 and is expected to rise to USD 19.50 Billion by 2032 at a CAGR of 14.3%.

Digital Elevation Model Market was valued at $1.85 B in 2023, and is projected to reach $USD 7.25 B by 2032, at a CAGR of 16.52% from 2023 to 2032.

According to Cognitive Market Research, the global 3D Mapping and Modeling market size is USD 5218.3 million in 2024 and will expand at a compound yearly growth rate (CAGR) of 16.3% from 2024 to 2031. Market Dynamics of 3D Mapping and Modeling Market

Key Drivers for 3D Mapping and Modeling Market

Enhanced Customer Experience to Increase Demand Globally—Enhanced customer experience drives the 3D mapping and modeling market by offering immersive and interactive experiences. In sectors like tourism, customers can explore destinations virtually before visiting, increasing engagement and satisfaction. In retail, 3D modeling enables personalized product visualization, aiding in purchasing decisions. Additionally, in architecture and real estate, clients can virtually tour properties, facilitating better-informed choices. Scalability and Flexibility- Flexibility and scalability of 3D mapping and modeling solutions enable them to adapt to various industries and applications, driving market growth by catering to diverse needs and evolving technological requirements.

Key Restraints for 3D Mapping and Modeling Market

Cost of Technology- The high cost of 3D mapping and modeling technologies often acts as a barrier to entry for smaller businesses and limits widespread adoption across industries. Complexity and Skill Need- The complexity and high skill requirements involved in 3D mapping and modeling processes can limit market growth by creating barriers to entry for smaller businesses and increasing costs for training and implementation. Introduction of the 3D Mapping and Modeling Market

The 3D mapping and modeling market encompasses technologies that enable the creation of three-dimensional representations of physical objects, environments, or surfaces. Utilizing techniques such as laser scanning, photogrammetry, LiDAR, and structured light, this market caters to a wide range of industries, including construction, architecture, urban planning, entertainment, and geospatial mapping. These technologies capture detailed spatial data, which is then processed to generate accurate and realistic 3D models. Applications range from creating digital twins of buildings and infrastructure for architectural design and urban planning to virtual tourism experiences and immersive gaming environments. The demand for 3D mapping and modeling solutions is driven by the need for accurate spatial data analysis, visualization, and simulation across diverse sectors, promising enhanced efficiency, cost-effectiveness, and innovative experiences.

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Photogrammetry Software Market Size 2024-2028

The photogrammetry software market size is forecast to increase by USD 1.16 billion at a CAGR of 14.3% between 2023 and 2028.

The market is experiencing significant growth due to the increasing adoption of 3D mapping and modeling in various industries, particularly in building and construction. This technology enables the creation of geo-referenced maps and orthomosaic images from drone images, which are essential for 3D visualizations and 3D reconstruction. Additionally, the use of 3D scanning and computer visualization in applications such as 3D modeling and 3D printing of models for drones and quadcopters is driving market growth. However, challenges persist, including the inadequate infrastructure in developing and underdeveloped countries, which hampers the market's expansion. Key software solutions in this market include VisualSFM and OpenMVG, which offer advanced features for processing Images and Video to generate 3D models.

What will be the Size of the Market During the Forecast Period?

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Photogrammetry software has emerged as a critical tool in various industries, particularly in defense and security, engineering, architecture, and surveyor sectors. This software utilizes advanced imaging technologies, such as high-resolution cameras, Lidar, and drones, to capture data in the form of a series of photographs. These images are then processed using artificial intelligence (AI) and machine learning algorithms to generate 3D models in real time. Data collection technologies have significantly evolved in recent years, with the integration of AI and machine learning enabling faster and more accurate processing of large datasets.

Moreover, the AI-driven photogrammetry software uses pixels and reference points from the images to create 3D meshes, which are essential for various applications, including emergency management and object recognition in space. The market is segmented into cloud-based Software as a Service (SaaS) and on-premises commercial/proprietary software. The SaaS model offers benefits such as cost savings, flexibility, and scalability, while on-premises software provides greater control and security. The use of AI-driven photogrammetry software is not limited to specific industries. It is widely adopted by surveyors, architects, engineers, and contractors to streamline their workflows and improve accuracy. For instance, Autodesk REMake, an AI-driven photogrammetry software, enables users to create 3D models from images, which can be used for various applications, including architectural design and construction planning.

Similarly, the geospatial technology plays a crucial role in the effective implementation of photogrammetry software. Real-time data processing and analysis are essential for various applications, including emergency management and infrastructure monitoring. The integration of AI and machine learning algorithms in photogrammetry software enables faster and more accurate processing of geospatial data, making it an indispensable tool for various industries. In conclusion, the advancement of imaging technologies, AI, and machine learning algorithms has significantly impacted the market. The software's ability to generate 3D models from a series of photographs in real-time makes it an essential tool for various industries, including defense and security, engineering, architecture, and surveyor sectors. The integration of geospatial technology further enhances the software's capabilities, making it an indispensable tool for data-driven decision-making.

Market Segmentation

The market 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.

Application

  3D printing
  Drones and robots
  Films and games
  Others


Deployment

  On-premises
  Cloud


Geography

  North America

    Canada
    US


  Europe

    Germany
    UK


  APAC

    China


  South America



  Middle East and Africa

By Application Insights

The 3D printing segment is estimated to witness significant growth during the forecast period. In the realm of advanced imaging technologies, the market is witnessing significant growth. This expansion is driven by various sectors, including Defense and Security, where high-precision 3D models are essential for mission planning and analysis. Artificial Intelligence (AI) and Machine Learning (ML) are also playing a pivotal role in the market's growth, enabling real-time data processing and analysis. Data collection technologies, such as LiDAR and high-resolution cameras, integrated with drones, are revolutionizing the way data is captured and processed. Geospatial technology, a critical component of photogrammetry, is enabling the creation

This web scene holds the layers for the 3D sea level rise building impact application. Within this scene there are separate groups for each foot of sea level rise on buildings impacts. This scene layer is the scene that connects to the web application viewer for public usage.For more information, please contact: Jose Rodriguez, Karen Grassi, or April Rosier

Components: Hardware: Includes mobile mapping systems, sensors, and other equipment Software: Includes software for data collection, processing, and visualization Services: Includes data collection, processing, and analysis servicesSolutions: Location-based: Provides location-based information and services Indoor mapping: Creates maps of indoor spaces Asset management: Helps manage assets and track their location 3D mapping: Creates 3D models of buildings and infrastructureApplications: Land surveys: Used for surveying land and creating maps Aerial surveys: Used for surveying areas from the air Real estate & construction: Used for planning and designing buildings and infrastructure IT & telecom: Used for network planning and management Recent developments include: One of the pioneers in wearable mobile mapping technology, NavVis, revealed the NavVis VLX 3, their newest generation of wearable technology. As the name suggests, this is the third version of their wearable VLX system; the NavVis VLX 2 was released in July of 2021, which is over two years ago. In their news release, NavVis emphasises the NavVis VLX 3's improved accuracy in point clouds by highlighting the two brand-new, 32-layer lidars that have been "meticulously designed and crafted" to minimise noise and drift in point clouds while delivering "high detail at range.", According to the North American Mach9 Software Platform, mobile Lidar will produce 2D and 3D maps 30 times faster than current systems by 2023., Even though this is Mach9's first product launch, the business has already begun laying the groundwork for future expansion by updating its website, adding important engineering and sales professionals, relocating to new headquarters in Pittsburgh's Bloomfield area, and forging ties in Silicon Valley., In order to make search more accessible to more users in more useful ways, Google has unveiled a tonne of new search capabilities for 2022 spanning Google Search, Google Lens, Shopping, and Maps. These enhancements apply to Google Maps, Google Shopping, Google Leons, and Multisearch., A multi-year partnership to supply Velodyne Lidar, Inc.'s lidar sensors to GreenValley International for handheld, mobile, and unmanned aerial vehicle (UAV) 3D mapping solutions, especially in GPS-denied situations, was announced in 2022. GreenValley is already receiving sensors from Velodyne., The acquisition of UK-based GeoSLAM, a leading provider of mobile scanning solutions with exclusive high-productivity simultaneous localization and mapping (SLAM) programmes to create 3D models for use in Digital Twin applications, is expected to close in 2022 and be completed by FARO® Technologies, Inc., a global leader in 4D digital reality solutions., November 2022: Topcon donated to TU Dublin as part of their investment in the future of construction. Students learning experiences will be improved by instruction in the most cutting-edge digital building techniques at Ireland's first technical university., October 2022: Javad GNSS Inc has released numerous cutting-edge GNSS solutions for geospatial applications. The TRIUMPH-1M Plus and T3-NR smart antennas, which employ upgraded Wi-Fi, Bluetooth, UHF, and power management modules and integrate the most recent satellite tracking technology into the geospatial portfolio, are two examples of important items.. Key drivers for this market are: Improvements in GPS, LiDAR, and camera technologies have significantly enhanced the accuracy and efficiency of mobile mapping systems. Potential restraints include: The initial investment required for mobile mapping equipment, including sensors and software, can be a barrier for small and medium-sized businesses.. Notable trends are: Mobile mapping systems are increasingly integrated with cloud platforms and AI technologies to process and analyze large datasets, enabling more intelligent mapping and predictive analytics.

Urban areas have a manifold and far-reaching impact on our environment, and the three-dimensional structure is a key aspect for characterizing the urban environment.

This dataset features a map of building height predictions for entire Germany on a 10m grid based on Sentinel-1A/B and Sentinel-2A/B time series. We utilized machine learning regression to extrapolate building height reference information to the entire country. The reference data were obtained from several freely and openly available 3D Building Models originating from official data sources (building footprint: cadaster, building height: airborne laser scanning), and represent the average building height within a radius of 50m relative to each pixel. Building height was only estimated for built-up areas (European Settlement Mask), and building height predictions <2m were set to 0m.

Temporal extent The acquisition dates of the different data sources vary to some degree: - Independent variables: Sentinel-2 data are from 2018; Sentinel-1 data are from 2017. - Dependent variables: the 3D building models are from 2012-2020 depending on data provider. - Settlement mask: the ESM is based on a mosaic of imagery from 2014-2016. Considering that net change of building stock is positive in Germany, the building height map is representative for ca. 2015.

Data format The data come in tiles of 30x30km (see shapefile). The projection is EPSG:3035. The images are compressed GeoTiff files (.tif). Metadata are located within the Tiff, partly in the FORCE domain. There is a mosaic in GDAL Virtual format (.vrt), which can readily be opened in most Geographic Information Systems. Building height values are in meters, scaled by 10, i.e. a pixel value of 69 = 6.9m.

Further information For further information, please see the publication or contact David Frantz (david.frantz@geo.hu-berlin.de). A web-visualization of this dataset is available here.

Publication Frantz, D., Schug, F., Okujeni, A., Navacchi, C., Wagner, W., van der Linden, S., & Hostert, P. (2021). National-scale mapping of building height using Sentinel-1 and Sentinel-2 time series. Remote Sensing of Environment, 252, 112128. DOI: https://doi.org/10.1016/j.rse.2020.112128

Acknowledgements The dataset was generated by FORCE v. 3.1 (paper, code), which is freely available software under the terms of the GNU General Public License v. >= 3. Sentinel imagery were obtained from the European Space Agency and the European Commission. The European Settlement Mask was obtained from the European Commission. 3D building models were obtained from Berlin Partner für Wirtschaft und Technologie GmbH, Freie und Hansestadt Hamburg / Landesbetrieb Geoinformation und Vermessung, Landeshauptstadt Potsdam, Bezirksregierung Köln / Geobasis NRW, and Kompetenzzentrum Geodateninfrastruktur Thüringen. This dataset was partly produced on EODC - we thank Clement Atzberger for supporting the generation of this dataset by sharing disc space on EODC.

Funding This dataset was produced with funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (MAT_STOCKS, grant agreement No 741950).

The 3D Terrestrial Laser Scanning (TLS) equipment market, valued at $2,529 million in 2025, is projected to experience robust growth, driven by a Compound Annual Growth Rate (CAGR) of 6.9% from 2025 to 2033. This expansion is fueled by several key factors. Increasing demand across diverse sectors like oil & gas, mining, and infrastructure for precise 3D data acquisition is a major catalyst. The construction industry's increasing adoption of Building Information Modeling (BIM) and the need for as-built documentation further bolster market growth. Advancements in sensor technology, leading to improved accuracy, range, and speed of data capture, are also significant drivers. Furthermore, the rising availability of user-friendly software solutions for processing and analyzing TLS data is simplifying workflows and broadening market accessibility. The market is segmented by application (Oil & Gas, Mining, Infrastructure, Forestry & Agriculture, Others) and by maximum measuring distance ( <500m, 500-1000m, >1000m), reflecting the varied needs of different user groups. Competition is intense, with key players like Hexagon Geosystems, Trimble, and others constantly innovating to offer superior solutions. Geographical expansion, particularly in developing economies undergoing rapid infrastructure development, presents lucrative opportunities for growth. While the market demonstrates significant growth potential, some challenges persist. High initial investment costs associated with acquiring TLS equipment can be a barrier to entry for smaller firms. The need for skilled professionals to operate and interpret the data also presents a limitation. However, ongoing technological advancements, such as the integration of artificial intelligence (AI) for automated data processing, are progressively addressing these issues. The increasing affordability and accessibility of TLS equipment, coupled with the growing awareness of its benefits, are expected to mitigate these restraints in the long term, contributing to sustained market expansion throughout the forecast period. The increasing demand for precision and efficiency across multiple sectors continues to solidify the position of 3D terrestrial laser scanning as an indispensable technology for a range of applications.

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Building Information Modeling Software Market Size 2025-2029

The building information modeling (BIM) software market size is forecast to increase by USD 13.1 billion at a CAGR of 24.8% between 2024 and 2029.

The market is experiencing significant growth due to the increasing need for managing large-scale construction projects more efficiently. BIM technology enables stakeholders to collaborate on a single digital model, reducing errors, enhancing communication, and streamlining the project delivery process. A key trend driving market expansion is the adoption of 5D BIM, which adds time and cost dimensions to traditional 3D BIM models, providing more comprehensive project insights. The entire construction process and building lifecycle can be streamlined with the help of this 3D mapping and modeling, which enables architects to work with other professionals like engineers and contractors. However, the high implementation and operating costs associated with BIM software remain a challenge for small and medium-sized enterprises (SMEs) and some large organizations. Despite this hurdle, the market presents numerous opportunities for companies offering cost-effective solutions, training services, and consultancy.
Additionally, the increasing adoption of BIM in various industries, such as architecture, engineering, and construction, is expanding the market's reach and potential. IoT sensors and facility management systems can be integrated with BIM software for seamless maintenance and ongoing operations. Companies seeking to capitalize on these opportunities should focus on providing innovative, user-friendly, and cost-effective BIM solutions while addressing the challenges of implementation and training to cater to the evolving needs of their clients.

What will be the Size of the Building Information Modeling (BIM) Software Market during the forecast period?

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The market encompasses solutions that enable digital representations of buildings and infrastructure projects. These tools facilitate cost estimation, budgeting, and cost control, as well as construction schedules and sequencing plans. BIM technology is increasingly adopted by contractors and construction operations in both the commercial and residential sectors for planning and modeling, as well as project visualization and decision-making processes. Government mandates and the growing emphasis on digital technology in the construction sector drive market growth. BIM solutions can be delivered on-premise or cloud-based, with additional capabilities including IoT sensors for facility management and maintenance.
Initial expenditure on BIM software can be substantial, but the long-term benefits of improved efficiency, accuracy, and collaboration make it a valuable investment for the construction industry.

How is the Building Information Modeling (BIM) Software Industry segmented?

The 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.

End-user

  Architects
  AEC engineering offices
  Contractors
  Facility managers
  Others


Deployment

  On-premises
  Cloud-based


Type

  Construction
  Pre-construction
  Post-construction


Application

  Commercial
  Industrial
  Public infrastructure
  Residential


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Italy
    UK


  APAC

    China
    India
    Japan
    South Korea


  South America



  Middle East and Africa

By End-user Insights

The architects segment is estimated to witness significant growth during the forecast period. The market plays a significant role in the construction sector, particularly for architects. BIM technology enables architects to construct digital representations of buildings, integrating design, construction, and operational data. This approach facilitates collaboration among professionals, including engineers and contractors, to optimize construction operations and building life cycles. Architects utilize BIM software to create detailed 3D models, enabling efficient decision-making processes, cost estimation tools, budgeting, cost control, construction schedules, sequencing plans, and facility management.

Digital technology, including virtual reality (VR) and augmented reality (AR), enhances project visualization, and IoT sensors support maintenance and asset management. The market offers deployment modes like on-premise and cloud-based solutions, catering to various building types and project life cycles.

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The Architects segment was valued at USD 1.24 billion in 2019 and showed a gradual increase during the forecast period.

Regional Analysis

North A

Learn state-of-the-art skills to build compelling, useful, and fun Web GIS apps easily, with no programming experience required.Building on the foundation of the previous three editions, Getting to Know Web GIS, fourth edition,features the latest advances in Esri’s entire Web GIS platform, from the cloud server side to the client side.Discover and apply what’s new in ArcGIS Online, ArcGIS Enterprise, Map Viewer, Esri StoryMaps, Web AppBuilder, ArcGIS Survey123, and more.Learn about recent Web GIS products such as ArcGIS Experience Builder, ArcGIS Indoors, and ArcGIS QuickCapture. Understand updates in mobile GIS such as ArcGIS Collector and AuGeo, and then build your own web apps.Further your knowledge and skills with detailed sections and chapters on ArcGIS Dashboards, ArcGIS Analytics for the Internet of Things, online spatial analysis, image services, 3D web scenes, ArcGIS API for JavaScript, and best practices in Web GIS.Each chapter is written for immediate productivity with a good balance of principles and hands-on exercises and includes:A conceptual discussion section to give you the big picture and principles,A detailed tutorial section with step-by-step instructions,A Q/A section to answer common questions,An assignment section to reinforce your comprehension, andA list of resources with more information.Ideal for classroom lab work and on-the-job training for GIS students, instructors, GIS analysts, managers, web developers, and other professionals, Getting to Know Web GIS, fourth edition, uses a holistic approach to systematically teach the breadth of the Esri Geospatial Cloud.AUDIENCEProfessional and scholarly. College/higher education. General/trade.AUTHOR BIOPinde Fu leads the ArcGIS Platform Engineering team at Esri Professional Services and teaches at universities including Harvard University Extension School. His specialties include web and mobile GIS technologies and applications in various industries. Several of his projects have won specialachievement awards. Fu is the lead author of Web GIS: Principles and Applications (Esri Press, 2010).Pub Date: Print: 7/21/2020 Digital: 6/16/2020 Format: Trade paperISBN: Print: 9781589485921 Digital: 9781589485938 Trim: 7.5 x 9 in.Price: Print: $94.99 USD Digital: $94.99 USD Pages: 490TABLE OF CONTENTSPrefaceForeword1 Get started with Web GIS2 Hosted feature layers and storytelling with GIS3 Web AppBuilder for ArcGIS and ArcGIS Experience Builder4 Mobile GIS5 Tile layers and on-premises Web GIS6 Spatial temporal data and real-time GIS7 3D web scenes8 Spatial analysis and geoprocessing9 Image service and online raster analysis10 Web GIS programming with ArcGIS API for JavaScriptPinde Fu | Interview with Esri Press | 2020-07-10 | 15:56 | Link.