Digital Elevation Models

Digital Elevation Models Market Outlook

The global Digital Elevation Models (DEM) market is projected to reach approximately USD 1.5 billion by 2035, with a compound annual growth rate (CAGR) of around 10% during the forecast period from 2025 to 2035. This growth is driven by the increasing demand for improved topographical data in various applications, including urban planning, environmental management, and disaster response. The proliferation of advanced technologies such as LiDAR and satellite radar is significantly enhancing the accuracy and resolution of digital elevation models. Furthermore, the rising need for high-resolution terrain data in sectors like mining, forestry, and agriculture is contributing to the market's expansion. Government initiatives and funding for smart city projects and infrastructure development are also propelling the demand for DEM solutions. As industries increasingly recognize the value of precise elevation data, the market is expected to witness significant growth in the coming years.

Growth Factor of the Market

The Digital Elevation Models market is experiencing robust growth due to several key factors. First, the heightened focus on geospatial data analytics across various industries is driving the need for high-quality elevation models. As urban areas expand, accurate topographical information becomes crucial for effective land use planning, which in turn fuels the demand for DEMs. Additionally, advancements in remote sensing technologies such as LiDAR and photogrammetry are making it easier and more cost-effective to collect high-resolution elevation data. This technological evolution enables industries to integrate DEMs into their workflows seamlessly. Furthermore, the increasing urgency to address environmental challenges, such as climate change and natural disasters, is propelling the use of DEMs for risk assessment and management. With governments investing in infrastructure projects and digital transformation initiatives, the demand for Digital Elevation Models is set to rise significantly over the next decade.

Key Highlights of the Market

• The global Digital Elevation Models market is poised for significant growth, driven by advancements in data collection technologies.
• LiDAR technology is expected to dominate the market due to its accuracy and efficiency in capturing elevation data.
• Geology and environmental studies are emerging as key application areas for DEMs, reflecting a growing awareness of sustainable practices.
• North America is anticipated to hold the largest market share, supported by extensive research and development activities.
• Partnerships and collaborations among industry players are increasing to enhance service offerings and technological capabilities.

By Type

Grid-Based DEMs:

Grid-Based Digital Elevation Models represent a structure where elevation values are arranged in a grid format, making them highly interpretable and usable for a variety of applications. These models are commonly utilized in geographic information systems (GIS) due to their standardization, which allows for easy integration with other geospatial data. The grid cells can vary in size and resolution depending on the requirements of a specific project, enabling flexibility in data representation. Grid-Based DEMs are particularly beneficial for large-scale applications where computational efficiency is paramount. They serve effectively in hydrological modeling, terrain analysis, and landscape visualization, thus playing a vital role in planning and environmental assessments.

TIN-Based DEMs:

Triangulated Irregular Networks (TIN)-Based Digital Elevation Models are characterized by their use of non-uniformly spaced points that are connected to form a network of triangles, offering a more flexible and accurate representation of complex terrains. This type of DEM is particularly advantageous in regions with varying topography, as it can efficiently model steep slopes and irregular landforms without the limitations inherent in grid structures. TIN-Based DEMs allow for detailed surface analysis, making them ideal for applications in engineering and environmental studies where precise modeling is critical. The ability to adjust the density of points based on terrain complexity ensures that TIN-Based DEMs maintain high accuracy without unnecessary data volume.

Hybrid DEMs:

Hybrid Digital Elevation Models combine the advantages of both grid-based and TIN-based systems, allowing for a versatile approach to elevation data representation. These models leverage the uniformity of grid-based structures for areas of lower complexity while using TIN technology in more intricate regions, creating a seamless transition between the two. This flexibility makes Hybrid DEMs suitable for a wide range of applications, including urban planning and landscape analysis, where varying terrain conditions can be encountered. The integration of different modeling techniques not only enhances data accuracy but also improves overall user experience by providing more relevant and actionable insights.

Triangulated Irregular Networks:

Triangulated Irregular Networks (TIN) provide a flexible and efficient way to represent complex terrain by using a network of non-overlapping triangles. Each triangle is defined by three vertices, which are typically points with known elevation values, allowing for an accurate representation of surface forms. TIN models are especially beneficial in applications like flood modeling and slope stability analysis, where detailed surface representation is essential. They allow for efficient storage of data and enable users to perform complex calculations and analyses, supporting effective decision-making in engineering and environmental contexts. The adaptability of TIN models to varying terrain complexities makes them a preferred choice in regions with undulating topographies.

Raster-Based DEMs:

Raster-Based Digital Elevation Models consist of a grid of cells, each containing a value that represents the elevation of a specific location at a defined resolution. This format is widely used in various GIS applications due to its compatibility with other raster data and straightforward implementation in spatial analysis. Raster DEMs allow for quick and efficient processing, making them suitable for large datasets. While they may not capture fine details as accurately as TIN or Hybrid models, advancements in raster data processing techniques are enhancing their applicability in urban planning, environmental monitoring, and resource management. The simplicity and ease of use associated with Raster-Based DEMs contribute to their continued relevance in the digital elevation modeling market.

By Technology

LiDAR:

LiDAR (Light Detection and Ranging) technology has revolutionized the Digital Elevation Models market by providing high-resolution elevation data with remarkable accuracy and detail. LiDAR systems use laser pulses to measure distances between the sensor and the earth's surface, resulting in precise 3D representations of terrain. This technology is particularly advantageous in densely vegetated areas where traditional survey methods may fail to capture ground data accurately. By penetrating foliage, LiDAR can create more reliable elevation models, making it a preferred choice for applications in forestry, urban planning, and environmental monitoring. The ability to collect data quickly over large areas while maintaining high resolution is driving the increased adoption of LiDAR in the DEM sector.

Photogrammetry:

Photogrammetry is another critical technology used to create Digital Elevation Models by analyzing photographs taken from aerial or satellite platforms. This method involves extracting geometric information from images to derive three-dimensional coordinates and elevation data. The advancements in photogrammetric techniques, particularly in integration with UAV (Unmanned Aerial Vehicles), have made it possible to produce highly detailed DEMs at a fraction of the time and cost of traditional methods. Photogrammetry is especially beneficial for applications in urban planning and land surveying, where rapid data acquisition is essential. The increasing accessibility of aerial imagery and user-friendly software platforms has expanded the use of photogrammetry in both commercial and academic sectors, further enhancing the DEM market's growth.

Satellite Radar:

Satellite Radar technology plays a vital role in the generation of Digital Elevation Models, particularly through techniques such as Synthetic Aperture Radar (SAR) and Interferometric SAR (InSAR). These methods utilize radar signals bounced off the earth's surface to determine elevation changes and create detailed elevation maps. The key advantage of satellite radar is its ability to cover vast areas quickly, making it indispensable for applications such as disaster management, land subsidence monitoring, and environmental assessments. Its capability to acquire data under various weather conditions, including cloud cover, enhances its utility compared to optical methods. As satellite technology continues to evolve, the accuracy and resolution of radar-based DEMs are expected to improve significantly, further driving their adoption across various sectors.

Structure from Motion:

Structure from Motion (SfM) is an innovative technique that utilizes a series of overlapping photographs to reconstruct three-dimensional models of surfaces, including Digital Elevation Models. This method allows users to generate highly detailed elevation data from relatively low-cost equipment, making it especially appealing for small businesses and academic research. SfM processes multiple images taken from different angles to calculate depth information, resulting in a dense point cloud that can be converted into a DEM. The flexibility and accessibility of SfM technology enable its application in various fields, such as archaeology, architecture, and environmental science. As software solutions for SfM become more sophisticated, the efficiency and quality of DEM generation through this method are expected to rise, contributing to the market's growth.

By Application

Geology:

In the field of geology, Digital Elevation Models are indispensable for understanding landforms, assessing geological hazards, and conducting mineral exploration. DEMs provide geologists with essential topographic information that aids in analyzing geological structures and processes, including erosion, sedimentation, and tectonic activity. By visualizing terrain features in three dimensions, researchers can identify patterns and relationships within geological formations, leading to improved predictions regarding natural resource distribution and geological stability. The increasing focus on sustainable resource management and environmental protection is spurring further research into geological applications of DEMs. This heightened demand is likely to fuel innovations in DEM technology tailored specifically for geological research and exploration.

Hydrology:

Digital Elevation Models play a crucial role in hydrology by providing vital data required for watershed modeling, flood risk assessment, and water resource management. Accurate elevation models help hydrologists analyze watershed characteristics, identify drainage patterns, and simulate water movement across landscapes. By integrating DEMs with hydrological models, researchers can predict flood events, assess the impact of land use changes, and manage water resources efficiently. The growing concerns over water scarcity and increased frequency of extreme weather events are driving demand for reliable hydrological models, thus boosting the application of DEMs in this domain. As technology advances, the integration of DEMs with real-time data sources is expected to enhance the accuracy and effectiveness of hydrological assessments.

Environmental Studies:

Digital Elevation Models are increasingly utilized in environmental studies to monitor land use changes, assess ecological impacts, and conduct biodiversity analyses. DEMs provide critical topographical information that supports ecological modeling and habitat assessments. By analyzing elevation data alongside other environmental variables, researchers can better understand the interactions between terrain and biological systems, leading to improved conservation strategies. The emphasis on environmental sustainability and the need for informed decision-making in land management are propelling the use of DEMs for ecological research. As environmental challenges become more pronounced, the demand for advanced DEMs capable of delivering high-resolution data will likely continue to grow.

Urban Planning:

In urban planning, Digital Elevation Models are essential tools for designing sustainable cities and infrastructure. Planners use DEMs to visualize terrain and elevation changes, aiding in the effective distribution of resources and infrastructure such as roads, drainage systems, and public transport. The ability to predict the impact of urban development on local topography and hydrology is crucial for mitigating risks associated with flooding and natural disasters. Furthermore, DEMs enable planners to evaluate potential sites for construction and assess their suitability based on environmental and regulatory constraints. As cities evolve and face new challenges, the role of DEMs in urban planning will become increasingly significant, driving further innovations in modeling and analysis.

Engineering:

Digital Elevation Models are fundamental in engineering applications where precise topographical information is required for design and construction. DEMs support civil and geotechnical engineers in assessing site conditions, conducting feasibility studies, and ensuring regulatory compliance. By providing accurate elevation data, DEMs enable engineers to optimize designs, evaluate construction methods, and minimize environmental impact. Applications such as road design, bridge construction, and utility management greatly benefit from the use of DEMs, as they facilitate better planning and execution of projects. The growing need for infrastructure development, particularly in rapidly urbanizing regions, is driving the demand for advanced DEM solutions tailored to engineering needs.

By User

Government Agencies:

Government agencies represent a significant user segment for Digital Elevation Models, utilizing the data for various applications, including urban planning, disaster management, and environmental monitoring. These agencies rely on accurate elevation data to inform policy decisions, assess land use, and manage natural resources effectively. By integrating DEMs into their workflows, government bodies can enhance their capabilities in risk assessment and emergency response, ensuring public safety and sustainable development. Furthermore, the increasing emphasis on smart city initiatives and infrastructure development is pushing agencies to adopt advanced DEM solutions to support their planning and operational activities.

Research Institutes:

Research institutes are prominent users of Digital Elevation Models, leveraging the data for scientific inquiry and analysis across various disciplines. These institutions utilize DEMs in fields such as geology, hydrology, and environmental science to conduct research that informs policy and practice. The integration of DEMs into research methodologies allows for in-depth analysis of terrain features and environmental processes, ultimately contributing to a better understanding of complex systems. As interdisciplinary research becomes more prevalent, the demand for high-resolution DEMs that can be applied across multiple domains is likely to increase, further bolstering the market.

Commercial Enterprises:

Commercial enterprises, particularly those operating in sectors such as construction, agriculture, and environmental consulting, are increasingly recognizing the value of Digital Elevation Models in enhancing operational efficiency and decision-making. DEMs provide these businesses with critical insights into terrain conditions, enabling them to optimize project planning, resource allocation, and environmental impact assessments. The ability to visualize and analyze elevation data empowers commercial entities to make informed choices that can lead to cost savings and improved outcomes. As the adoption of digital tools becomes more widespread in commercial sectors, the demand for DEM solutions is expected to grow significantly.

Defense & Military:

The defense and military sectors are vital users of Digital Elevation Models, utilizing them for strategic planning, terrain analysis, and mission planning. Accurate elevation data is essential for assessing geographical advantages, understanding battlefield topography, and conducting simulations for training and operational readiness. DEMs enable military units to evaluate potential sites for deployment, optimize routes for logistics, and enhance situational awareness during missions. The increasing emphasis on advanced technology and data analysis in defense strategies is likely to drive further investment in DEM solutions tailored to military applications.

Academic Institutions:

Academic institutions utilize Digital Elevation Models for educational purposes and research initiatives across various fields, including geography, environmental science, and urban studies. DEMs provide students and researchers with hands-on experience in spatial analysis and geospatial technologies, thereby enhancing learning outcomes. These institutions often conduct studies that leverage DEM data to address real-world challenges, contributing to knowledge generation and innovation. As the demand for geospatial education and research continues to grow, the need for accessible and high-quality DEMs is expected to rise, supporting the development of the next generation of geospatial professionals.

By Region

North America is anticipated to hold the largest share of the Digital Elevation Models market, accounting for approximately 40% of the total revenue. This dominance can be attributed to the presence of advanced technological infrastructure, extensive research and development activities, and a high demand for accurate geospatial data across various sectors. The United States, in particular, leads in the adoption of LiDAR and satellite radar technologies, which are critical in generating high-quality DEMs for applications in urban planning, disaster management, and environmental research. The CAGR for North America is projected to be around 10% during the forecast period, reflecting the region's commitment to innovation and investment in geospatial technologies.

Europe follows closely as another significant market for Digital Elevation Models, contributing roughly 30% to the global market share. The region's increasing focus on sustainability, environmental monitoring, and efficient land use planning drives the demand for DEM solutions. Countries like Germany, France, and the United Kingdom are leading the charge in implementing advanced technologies for elevation data collection, particularly in urban development projects. As the European Union pushes for more sustainable practices and smart city initiatives, the demand for precise elevation data is expected to grow, with a projected CAGR of around 9% in the region.

Opportunities

The Digital Elevation Models market presents numerous opportunities for companies and organizations looking to capitalize on the growing demand for high-resolution terrain data. One significant opportunity lies in the development of advanced machine learning algorithms that can enhance the processing and analysis of DEM data. As industries increasingly rely on big data and analytics, the ability to extract actionable insights from elevation models will become a crucial differentiator. Companies that invest in the integration of artificial intelligence with DEM technology can offer innovative solutions that improve efficiency and accuracy in various applications, including urban planning, environmental monitoring, and disaster response.

Moreover, the collaboration between technology providers and research institutions can lead to the creation of specialized DEMs tailored for niche applications. For instance, developing DEMs optimized for climate change studies, urban heat island effect analysis, or biodiversity assessments could open new revenue streams for businesses. As awareness of environmental issues continues to grow, the demand for specialized elevation models capable of addressing these challenges will likely increase. Companies that proactively seek partnerships and invest in research and development initiatives to create targeted solutions will be well-positioned to capitalize on the expanding opportunities in the Digital Elevation Models market.

Threats

While the Digital Elevation Models market is poised for significant growth, it also faces several threats that could hinder its progress. One major threat is the potential for data privacy concerns and regulatory challenges related to geospatial data collection and usage. As governments and organizations become more vigilant about data protection, companies in the DEM space must navigate complex compliance requirements to avoid legal repercussions. This could lead to increased operational costs and may hamper innovation, particularly for smaller firms that lack the resources to implement robust compliance frameworks. Additionally, competition from emerging technologies that provide alternative methods for terrain analysis poses a threat to the traditional DEM market, compelling existing players to continually innovate and adapt to stay relevant.

Furthermore, economic fluctuations and budgetary constraints in public sectors could lead to reduced funding for geospatial projects, impacting the demand for Digital Elevation Models. In periods of economic downturn, government agencies and research institutions may prioritize essential services over geospatial initiatives, potentially stalling market growth. Companies must remain agile and adaptable to changing economic conditions while diversifying their offerings to cater to a broader range of industry needs. The ability to pivot and explore new markets will be critical in mitigating the impacts of external threats on the Digital Elevation Models market.

Competitor Outlook

• Esri
• DigitalGlobe
• Trimble Inc.
• Geosyntec Consultants
• Fugro N.V.
• Airbus Defence and Space
• RIEGL Laser Measurement Systems
• Northrop Grumman Corporation
• Teledyne Technologies Inc.
• QCoherent Laser Corporation
• Woolpert
• GeoIQ
• Landiscor Real Estate Solutions
• Blue Sky Network
• Geospatial Corporation

The competitive landscape of the Digital Elevation Models market is characterized by a diverse mix of companies, each contributing to the growth of the sector through innovative technologies and strategic collaborations. Major players like Esri and DigitalGlobe are leading the charge by offering comprehensive DEM solutions that cater to various industries, including government, environmental, and urban planning sectors. These companies invest heavily in research and development, ensuring they remain at the forefront of technological advancements in the DEM space. Their ability to integrate advanced analytics and machine learning capabilities into elevation data processing sets them apart, allowing for enhanced functionality and usability of DEM products.

Trimble Inc. and Fugro N.V. are also key competitors, leveraging their expertise in geospatial technologies to provide high-quality DEM solutions. Trimble focuses on integrating its DEM offerings with other geospatial products to create comprehensive solutions for its clients, while Fugro emphasizes its global presence and commitment to sustainability in its operations. As both companies expand their portfolios and explore new market opportunities, they contribute to the overall competitiveness of the Digital Elevation Models market.

Emerging players and startups are challenging established companies by introducing innovative approaches to DEM generation and analysis. For instance, companies like Woolpert and GeoIQ are focusing on niche markets, such as agriculture and environmental monitoring, providing tailored solutions that meet specific user needs. Their agility and ability to adapt to changing market demands position them well to capture new opportunities within the Digital Elevation Models space. As the market continues to evolve, collaborations and partnerships among these players will play a crucial role in driving innovation and enhancing service offerings.

• 1 Appendix

  • 1.1 List of Tables
  • 1.2 List of Figures

• 2 Introduction

  • 2.1 Market Definition
  • 2.2 Scope of the Report
  • 2.3 Study Assumptions
  • 2.4 Base Currency & Forecast Periods

• 3 Market Dynamics

  • 3.1 Market Growth Factors
  • 3.2 Economic & Global Events
  • 3.3 Innovation Trends
  • 3.4 Supply Chain Analysis

• 4 Consumer Behavior

  • 4.1 Market Trends
  • 4.2 Pricing Analysis
  • 4.3 Buyer Insights

• 5 Key Player Profiles

  • 5.1 Esri
    • 5.1.1 Business Overview
    • 5.1.2 Products & Services
    • 5.1.3 Financials
    • 5.1.4 Recent Developments
    • 5.1.5 SWOT Analysis
  • 5.2 GeoIQ
    • 5.2.1 Business Overview
    • 5.2.2 Products & Services
    • 5.2.3 Financials
    • 5.2.4 Recent Developments
    • 5.2.5 SWOT Analysis
  • 5.3 Woolpert
    • 5.3.1 Business Overview
    • 5.3.2 Products & Services
    • 5.3.3 Financials
    • 5.3.4 Recent Developments
    • 5.3.5 SWOT Analysis
  • 5.4 Fugro N.V.
    • 5.4.1 Business Overview
    • 5.4.2 Products & Services
    • 5.4.3 Financials
    • 5.4.4 Recent Developments
    • 5.4.5 SWOT Analysis
  • 5.5 DigitalGlobe
    • 5.5.1 Business Overview
    • 5.5.2 Products & Services
    • 5.5.3 Financials
    • 5.5.4 Recent Developments
    • 5.5.5 SWOT Analysis
  • 5.6 Trimble Inc.
    • 5.6.1 Business Overview
    • 5.6.2 Products & Services
    • 5.6.3 Financials
    • 5.6.4 Recent Developments
    • 5.6.5 SWOT Analysis
  • 5.7 Blue Sky Network
    • 5.7.1 Business Overview
    • 5.7.2 Products & Services
    • 5.7.3 Financials
    • 5.7.4 Recent Developments
    • 5.7.5 SWOT Analysis
  • 5.8 Geosyntec Consultants
    • 5.8.1 Business Overview
    • 5.8.2 Products & Services
    • 5.8.3 Financials
    • 5.8.4 Recent Developments
    • 5.8.5 SWOT Analysis
  • 5.9 Geospatial Corporation
    • 5.9.1 Business Overview
    • 5.9.2 Products & Services
    • 5.9.3 Financials
    • 5.9.4 Recent Developments
    • 5.9.5 SWOT Analysis
  • 5.10 Airbus Defence and Space
    • 5.10.1 Business Overview
    • 5.10.2 Products & Services
    • 5.10.3 Financials
    • 5.10.4 Recent Developments
    • 5.10.5 SWOT Analysis
  • 5.11 Teledyne Technologies Inc.
    • 5.11.1 Business Overview
    • 5.11.2 Products & Services
    • 5.11.3 Financials
    • 5.11.4 Recent Developments
    • 5.11.5 SWOT Analysis
  • 5.12 QCoherent Laser Corporation
    • 5.12.1 Business Overview
    • 5.12.2 Products & Services
    • 5.12.3 Financials
    • 5.12.4 Recent Developments
    • 5.12.5 SWOT Analysis
  • 5.13 Northrop Grumman Corporation
    • 5.13.1 Business Overview
    • 5.13.2 Products & Services
    • 5.13.3 Financials
    • 5.13.4 Recent Developments
    • 5.13.5 SWOT Analysis
  • 5.14 Landiscor Real Estate Solutions
    • 5.14.1 Business Overview
    • 5.14.2 Products & Services
    • 5.14.3 Financials
    • 5.14.4 Recent Developments
    • 5.14.5 SWOT Analysis
  • 5.15 RIEGL Laser Measurement Systems
    • 5.15.1 Business Overview
    • 5.15.2 Products & Services
    • 5.15.3 Financials
    • 5.15.4 Recent Developments
    • 5.15.5 SWOT Analysis

• 6 Market Segmentation

  • 6.1 Digital Elevation Models Market, By Type
    • 6.1.1 Grid-Based DEMs
    • 6.1.2 TIN-Based DEMs
    • 6.1.3 Hybrid DEMs
    • 6.1.4 Triangulated Irregular Networks
    • 6.1.5 Raster-Based DEMs
  • 6.2 Digital Elevation Models Market, By User
    • 6.2.1 Government Agencies
    • 6.2.2 Research Institutes
    • 6.2.3 Commercial Enterprises
    • 6.2.4 Defense & Military
    • 6.2.5 Academic Institutions
  • 6.3 Digital Elevation Models Market, By Application
    • 6.3.1 Geology
    • 6.3.2 Hydrology
    • 6.3.3 Environmental Studies
    • 6.3.4 Urban Planning
    • 6.3.5 Engineering

• 7 Competitive Analysis

  • 7.1 Key Player Comparison
  • 7.2 Market Share Analysis
  • 7.3 Investment Trends
  • 7.4 SWOT Analysis

• 8 Research Methodology

  • 8.1 Analysis Design
  • 8.2 Research Phases
  • 8.3 Study Timeline

• 9 Future Market Outlook

  • 9.1 Growth Forecast
  • 9.2 Market Evolution

• 10 Geographical Overview

  • 10.1 Europe - Market Analysis
    • 10.1.1 By Country
      • 10.1.1.1 UK
      • 10.1.1.2 France
      • 10.1.1.3 Germany
      • 10.1.1.4 Spain
      • 10.1.1.5 Italy
  • 10.2 Asia Pacific - Market Analysis
    • 10.2.1 By Country
      • 10.2.1.1 India
      • 10.2.1.2 China
      • 10.2.1.3 Japan
      • 10.2.1.4 South Korea
  • 10.3 Latin America - Market Analysis
    • 10.3.1 By Country
      • 10.3.1.1 Brazil
      • 10.3.1.2 Argentina
      • 10.3.1.3 Mexico
  • 10.4 North America - Market Analysis
    • 10.4.1 By Country
      • 10.4.1.1 USA
      • 10.4.1.2 Canada
  • 10.5 Middle East & Africa - Market Analysis
    • 10.5.1 By Country
      • 10.5.1.1 Middle East
      • 10.5.1.2 Africa
  • 10.6 Digital Elevation Models Market by Region

• 11 Global Economic Factors

  • 11.1 Inflation Impact
  • 11.2 Trade Policies

• 12 Technology & Innovation

  • 12.1 Emerging Technologies
  • 12.2 AI & Digital Trends
  • 12.3 Patent Research

• 13 Investment & Market Growth

  • 13.1 Funding Trends
  • 13.2 Future Market Projections

• 14 Market Overview & Key Insights

  • 14.1 Executive Summary
  • 14.2 Key Trends
  • 14.3 Market Challenges
  • 14.4 Regulatory Landscape

Segments Analyzed in the Report

The global Digital Elevation Models market is categorized based on

By Type

• Grid-Based DEMs
• TIN-Based DEMs
• Hybrid DEMs
• Triangulated Irregular Networks
• Raster-Based DEMs

By Application

• Geology
• Hydrology
• Environmental Studies
• Urban Planning
• Engineering

By User

• Government Agencies
• Research Institutes
• Commercial Enterprises
• Defense & Military
• Academic Institutions

By Region

• North America
• Europe
• Asia Pacific
• Latin America
• Middle East & Africa

Key Players

• Esri
• DigitalGlobe
• Trimble Inc.
• Geosyntec Consultants
• Fugro N.V.
• Airbus Defence and Space
• RIEGL Laser Measurement Systems
• Northrop Grumman Corporation
• Teledyne Technologies Inc.
• QCoherent Laser Corporation
• Woolpert
• GeoIQ
• Landiscor Real Estate Solutions
• Blue Sky Network
• Geospatial Corporation