GIS for Construction Planning Market Outlook

According to our latest research, the GIS for Construction Planning market size reached USD 6.4 billion in 2024, and it is expected to grow at a robust CAGR of 13.2% during the forecast period, reaching approximately USD 18.2 billion by 2033. This dynamic growth is primarily driven by the increasing integration of geospatial technologies in construction workflows, the rising demand for efficient project management solutions, and the global emphasis on sustainable urban development. The market is witnessing significant traction as construction firms and stakeholders recognize the value of Geographic Information Systems (GIS) in optimizing site selection, resource allocation, and risk mitigation.

One of the primary growth factors for the GIS for Construction Planning market is the rapid digital transformation occurring within the construction industry. As project complexity increases and timelines become tighter, construction companies are leveraging GIS solutions to gain real-time spatial insights, enhance collaboration, and streamline operations. The adoption of Building Information Modeling (BIM) integrated with GIS is also playing a pivotal role, enabling more accurate planning, design, and execution of construction projects. This integration empowers stakeholders to visualize project data in a geospatial context, facilitating better decision-making and reducing costly reworks. Additionally, the proliferation of smart cities and infrastructure modernization projects worldwide is significantly boosting the demand for advanced GIS tools in construction planning.

Another significant driver is the growing regulatory emphasis on environmental sustainability and risk management in construction projects. Governments and regulatory bodies are mandating comprehensive environmental impact assessments and risk analyses before granting approvals for new developments. GIS platforms provide a robust framework for conducting these assessments by enabling spatial analysis of environmental factors, potential hazards, and socio-economic impacts. As a result, construction firms are increasingly adopting GIS to ensure compliance with regulations, minimize environmental footprints, and enhance community engagement. The ability of GIS to integrate diverse datasets and generate actionable insights is proving invaluable in navigating the complex regulatory landscape of the construction sector.

Furthermore, advancements in cloud computing, IoT, and mobile technologies are accelerating the adoption of GIS in construction planning. Cloud-based GIS solutions offer scalability, flexibility, and real-time data access, making them ideal for large-scale, multi-site construction projects. The integration of IoT devices enables continuous monitoring of construction sites, asset tracking, and predictive maintenance, all of which feed valuable data into GIS platforms. These technological innovations are not only improving project efficiency but also enabling proactive risk management and resource optimization. As construction firms increasingly embrace digital transformation, the demand for sophisticated GIS solutions is expected to surge, further propelling market growth.

From a regional perspective, North America currently dominates the GIS for Construction Planning market, accounting for the largest revenue share in 2024, followed closely by Europe and Asia Pacific. The strong presence of leading technology providers, high levels of investment in infrastructure, and early adoption of advanced digital tools have positioned North America as a key growth engine. Meanwhile, Asia Pacific is projected to witness the highest CAGR during the forecast period, driven by rapid urbanization, government-led smart city initiatives, and expanding construction activities in emerging economies such as China and India. Europe continues to demonstrate steady growth, fueled by stringent environmental regulations and a focus on sustainable development.

Component Analysis

The GIS for Cons

GIS for Construction Planning Market Outlook

According to our latest research, the Global GIS for Construction Planning market size was valued at $2.7 billion in 2024 and is projected to reach $7.8 billion by 2033, expanding at a CAGR of 12.3% during 2024–2033. The primary factor propelling this impressive growth is the increasing integration of advanced geospatial technologies into construction workflows, which is revolutionizing how projects are planned, managed, and executed globally. The demand for precise site analysis, real-time project monitoring, and streamlined asset management is accelerating the adoption of Geographic Information Systems (GIS) within the construction sector, enabling stakeholders to make data-driven decisions, minimize risks, and optimize resource allocation.

Regional Outlook

North America currently holds the largest share in the global GIS for Construction Planning market, accounting for over 35% of total market revenue in 2024. This dominance is attributed to the region’s mature construction industry, high digitalization rates, and robust regulatory frameworks mandating the use of advanced planning tools for infrastructure projects. The United States, in particular, showcases widespread adoption of GIS solutions among construction companies, government agencies, and urban planners, driven by the need for efficient project management and compliance with environmental standards. Additionally, the presence of leading GIS software providers and a strong culture of technological innovation further cements North America’s leadership position, with the region forecasted to maintain steady growth throughout the forecast period.

The Asia Pacific region is poised to be the fastest-growing market, projected to register a remarkable CAGR of 15.6% between 2024 and 2033. This surge is fueled by massive investments in infrastructure, urbanization initiatives, and smart city projects across countries such as China, India, and Southeast Asian nations. Governments and private developers are increasingly leveraging GIS platforms to address the complexities of megaprojects, from site selection to environmental impact analysis. The proliferation of affordable cloud-based GIS solutions is also lowering entry barriers for small and mid-sized firms, further accelerating market expansion. As digital transformation takes center stage in the region’s construction sector, Asia Pacific is expected to contribute significantly to the global market’s incremental growth.

In emerging economies across Latin America, the Middle East, and Africa, the adoption of GIS for construction planning is gaining traction, albeit at a slower pace due to budgetary constraints and limited technical expertise. However, these regions present substantial untapped potential, as governments increasingly prioritize infrastructure modernization and sustainable urban development. Localized demand is being shaped by the need for disaster resilience, efficient land management, and regulatory compliance. Challenges such as inconsistent internet connectivity, data standardization issues, and lack of skilled professionals persist, but ongoing policy reforms and international collaborations are gradually addressing these hurdles, paving the way for broader GIS adoption in the coming years.

Report Scope

Geographic Information System (GIS) Software Market Outlook

The global Geographic Information System (GIS) software market size is projected to grow from USD 9.1 billion in 2023 to USD 18.5 billion by 2032, reflecting a compound annual growth rate (CAGR) of 8.5% over the forecast period. This growth is driven by the increasing application of GIS software across various sectors such as agriculture, construction, transportation, and utilities, along with the rising demand for location-based services and advanced mapping solutions.

One of the primary growth factors for the GIS software market is the widespread adoption of spatial data by various industries to enhance operational efficiency. In agriculture, for instance, GIS software plays a crucial role in precision farming by aiding in crop monitoring, soil analysis, and resource management, thereby optimizing yield and reducing costs. In the construction sector, GIS software is utilized for site selection, design and planning, and infrastructure management, making project execution more efficient and cost-effective.

Additionally, the integration of GIS with emerging technologies such as Artificial Intelligence (AI) and the Internet of Things (IoT) is significantly enhancing the capabilities of GIS software. AI-driven data analytics and IoT-enabled sensors provide real-time data, which, when combined with spatial data, results in more accurate and actionable insights. This integration is particularly beneficial in fields like smart city planning, disaster management, and environmental monitoring, further propelling the market growth.

Another significant factor contributing to the market expansion is the increasing government initiatives and investments aimed at improving geospatial infrastructure. Governments worldwide are recognizing the importance of GIS in policy-making, urban planning, and public safety, leading to substantial investments in GIS technologies. For example, the U.S. governmentÂ’s Geospatial Data Act emphasizes the development of a cohesive national geospatial policy, which in turn is expected to create more opportunities for GIS software providers.

Geographic Information System Analytics is becoming increasingly pivotal in transforming raw geospatial data into actionable insights. By employing sophisticated analytical tools, GIS Analytics allows organizations to visualize complex spatial relationships and patterns, enhancing decision-making processes across various sectors. For instance, in urban planning, GIS Analytics can identify optimal locations for new infrastructure projects by analyzing population density, traffic patterns, and environmental constraints. Similarly, in the utility sector, it aids in asset management by predicting maintenance needs and optimizing resource allocation. The ability to integrate GIS Analytics with other data sources, such as demographic and economic data, further amplifies its utility, making it an indispensable tool for strategic planning and operational efficiency.

Regionally, North America holds the largest share of the GIS software market, driven by technological advancements and high adoption rates across various sectors. Europe follows closely, with significant growth attributed to the increasing use of GIS in environmental monitoring and urban planning. The Asia Pacific region is anticipated to witness the highest growth rate during the forecast period, fueled by rapid urbanization, infrastructure development, and government initiatives in countries like China and India.

Component Analysis

The GIS software market is segmented into software and services, each playing a vital role in meeting the diverse needs of end-users. The software segment encompasses various types of GIS software, including desktop GIS, web GIS, and mobile GIS. Desktop GIS remains the most widely used, offering comprehensive tools for spatial analysis, data management, and visualization. Web GIS, on the other hand, is gaining traction due to its accessibility and ease of use, allowing users to access GIS capabilities through a web browser without the need for extensive software installations.

Mobile GIS is another crucial aspect of the software segment, providing field-based solutions for data collection, asset management, and real-time decision making. With the increasing use of smartphones and tablets, mobile GIS applications are becoming indispensable for sectors such as utilities, transportation, and

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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 and sho

Field Data Collection Apps for Civil Engineering Market Outlook

According to our latest research, the Field Data Collection Apps for Civil Engineering market size reached USD 1.45 billion in 2024 and is expected to grow at a robust CAGR of 13.8% during the forecast period, reaching a projected value of USD 4.11 billion by 2033. This dynamic growth is primarily driven by increasing digitalization in the civil engineering sector, the need for real-time data acquisition, and the growing emphasis on project efficiency and compliance. As per our analysis, the market is experiencing accelerated adoption due to the rising demand for accurate field data, streamlined workflows, and integration with advanced analytics platforms.

One of the primary growth factors for the Field Data Collection Apps for Civil Engineering market is the rapid digital transformation across the construction and engineering industries. The adoption of mobile technologies and smart devices on job sites has enabled civil engineers to collect, analyze, and transmit data in real time, significantly reducing manual errors and paperwork. The increasing complexity of civil infrastructure projects, combined with the need for precise data to ensure safety and regulatory compliance, has further fueled the demand for field data collection apps. These solutions empower project teams to collaborate seamlessly, enhance productivity, and maintain up-to-date records, which are essential for timely project delivery and cost control.

Another significant driver is the integration of field data collection apps with other digital platforms such as Building Information Modeling (BIM), Geographic Information Systems (GIS), and cloud-based project management tools. This interoperability allows for the seamless flow of information between field teams and office-based stakeholders, enhancing decision-making and reducing project delays. The ability to capture geospatial data, photographic evidence, and inspection results directly from the field and sync them with centralized databases has become a critical requirement for modern civil engineering projects. Moreover, the increasing emphasis on sustainability and resource optimization is pushing organizations to leverage digital tools that provide actionable insights from field data, further propelling market growth.

The proliferation of government regulations and industry standards mandating accurate documentation and traceability in civil engineering projects is also contributing to the expansion of the Field Data Collection Apps for Civil Engineering market. Regulatory bodies are increasingly requiring project documentation to be digital, auditable, and easily accessible, which has led to widespread adoption of advanced field data collection solutions. Additionally, the rising focus on infrastructure modernization in emerging economies, coupled with substantial investments in smart city initiatives, is creating new growth opportunities. The demand for scalable, customizable, and secure data collection platforms is expected to remain strong as the civil engineering sector continues to embrace digital transformation.

Regionally, North America holds the largest market share in 2024, driven by the presence of leading construction technology providers, high adoption rates of digital tools, and stringent regulatory frameworks. Europe follows closely, with significant investments in infrastructure renewal and sustainability initiatives. The Asia Pacific region is experiencing the fastest growth, fueled by rapid urbanization, government-led infrastructure projects, and increasing awareness of the benefits of digital field data collection. Latin America and the Middle East & Africa are also witnessing steady growth, supported by modernization efforts and the gradual adoption of digital construction practices.

Component Analysis

The Field Data Collection Apps for Civil Engineering market is segmented by component into software and services, each playing a pivotal role in shaping the market landscape. The software segment dominates the market, accounting for the largest revenue share in 2024. This dominance is attributed to the increasing demand for intuitive, feature-rich applications that enable real-time data capture, analysis, and reporting. Modern field data collection software offers functionalities such as offline data entry, GPS integration, photo capture, and automated synchronization with central databases. The continuous evolution

Wildfire is a significant threat to ecosystems and human safety, exacerbated by climate warming. The Penticton region of British-Columbia, Canada is an area which is experiencing increasingly worsening wildfire events. These natural disturbance events represent a significant threat to local ecosystems, property and human life and wellbeing. As fire conditions worsen, and the population density of this region increases, landscape analysis of fire hazard levels is necessary to direct emergency service management prior to and during wildfire events and to inform policy on how to manage these natural disasters. To assess fire hazard levels, a GIS-based multi-criteria analysis was performed to understand fire hazard spatially, subdivided into low, moderate, high, and severe hazard areas. Two models were built to achieve this, taking into account commonly used variables employed to assess fire hazard severity around the world. To identify potential differences in hazard assessment, the models weighted these variables differently from one another. Fire location points from the year 2000 to 2021 were overlayed with each respective model output. Model 1 spatially overlapped with 73.88% of these fires, while model 2 spatially overlapped with 74.35%. These results can help identify areas of elevated hazard under ideal burning conditions, inform deployment of emergency services and resources, and provide a framework for using a GIS to conduct a fire hazard landscape assessment. Datasets associated and created to complete analysis employed in this research project.

Land Management Software Market Outlook

According to our latest research, the global land management software market size reached USD 1.85 billion in 2024, demonstrating robust adoption across multiple industries. The market is projected to expand at a CAGR of 12.1% during the forecast period, resulting in a forecasted market size of USD 5.18 billion by 2033. This growth is primarily driven by the increasing demand for efficient land administration, digitalization of land records, and the rising need for integrated solutions in real estate, agriculture, and government sectors.

One of the most significant growth factors propelling the land management software market is the ongoing digital transformation within government agencies and private enterprises. Governments worldwide are increasingly adopting advanced land management systems to streamline land registration, optimize land use planning, and reduce fraudulent activities associated with manual recordkeeping. The integration of Geographic Information Systems (GIS) and cloud-based platforms is enabling real-time data access, transparency, and accuracy in land management processes. These advancements are not only improving operational efficiency but also fostering trust among stakeholders, thereby accelerating the adoption of land management software solutions across various sectors.

Another pivotal driver for the marketÂ’s expansion is the booming real estate and infrastructure development activities globally. The rapid urbanization in emerging economies, coupled with the need for effective land valuation and mapping, is necessitating advanced software solutions. Real estate companies and developers are leveraging these platforms to manage property portfolios, ensure compliance with regulatory requirements, and enhance customer service. Furthermore, the agriculture sector is witnessing increased utilization of land management software to maximize land productivity, monitor land use, and comply with environmental regulations. The softwareÂ’s ability to integrate with remote sensing technologies and provide actionable insights is further amplifying its adoption in precision agriculture and resource management.

In addition to government and real estate, the utilities, mining, and forestry sectors are also contributing to the marketÂ’s growth. These industries require sophisticated land management solutions for asset tracking, regulatory compliance, and sustainable resource utilization. The shift towards cloud-based deployment models is making these solutions more accessible and scalable, allowing organizations to manage vast land assets efficiently. Moreover, the rising emphasis on sustainability and environmental conservation is compelling organizations to adopt land management software for better land use planning and impact assessment, thereby supporting long-term growth in the market.

As the land management software market continues to evolve, the introduction of specialized solutions for niche industries is becoming increasingly important. One such area is the landscaping industry, where Landscaping Business Management Software is gaining traction. This type of software is designed to streamline operations for landscaping companies by offering tools for project management, scheduling, billing, and customer relationship management. By integrating these functionalities, landscaping businesses can enhance their operational efficiency, reduce administrative overhead, and improve customer satisfaction. The ability to manage multiple projects simultaneously and track resources in real-time is particularly beneficial for companies looking to scale their operations and expand their service offerings. As more landscaping businesses recognize the advantages of digital transformation, the demand for tailored management software is expected to rise, contributing to the overall growth of the land management software market.

Regionally, North America continues to dominate the land management software market, driven by the early adoption of digital technologies, strong government initiatives, and a well-established real estate sector. However, the Asia Pacific region is poised for the fastest growth, attributed to rapid urbanization, infrastructure development, and increasing government investments in land administrat

Geographic Information System (GIS) Market Outlook

The Geographic Information System (GIS) market is witnessing robust growth with its global market size projected to reach USD 25.7 billion by 2032, up from USD 8.7 billion in 2023, at a compound annual growth rate (CAGR) of 12.4% during the forecast period. This growth is primarily driven by the increasing integration of GIS technology across various industries to improve spatial data visualization, enhance decision-making, and optimize operations. The benefits offered by GIS in terms of accuracy, efficiency, and cost-effectiveness are convincing more sectors to adopt these systems, thereby expanding the market size significantly.

A major growth factor contributing to the GIS market expansion is the escalating demand for location-based services. As businesses across different sectors recognize the importance of spatial data analytics in driving strategic decisions, the reliance on GIS applications is becoming increasingly pronounced. The rise in IoT devices, coupled with the enhanced capabilities of AI and machine learning, has further fueled the demand for GIS solutions. These technologies enable the processing and analysis of large volumes of spatial data, thereby providing valuable insights that businesses can leverage for competitive advantage. In addition, government initiatives promoting the adoption of digital infrastructure and smart city projects are playing a crucial role in the growth of the GIS market.

The advancement in satellite imaging and remote sensing technologies is another key driver of the GIS market growth. With enhanced satellite capabilities, the precision and quality of geospatial data have significantly improved, making GIS applications more reliable and effective. The availability of high-resolution satellite imagery has opened new avenues in various sectors including agriculture, urban planning, and disaster management. Moreover, the decreasing costs of satellite data acquisition and the proliferation of drone technology are making GIS more accessible to small and medium enterprises, further expanding the market potential.

The advent of 3D Geospatial Technologies is revolutionizing the way industries utilize GIS data. By providing a three-dimensional perspective, these technologies enhance spatial analysis and visualization, offering more detailed and accurate representations of geographical areas. This advancement is particularly beneficial in urban planning, where 3D models can simulate cityscapes and infrastructure, allowing planners to visualize potential developments and assess their impact on the environment. Moreover, 3D geospatial data is proving invaluable in sectors such as construction and real estate, where it aids in site analysis and project planning. As these technologies continue to evolve, they are expected to play a pivotal role in the future of GIS, expanding its applications and driving further market growth.

Furthermore, the increasing application of GIS in environmental monitoring and management is bolstering market growth. With growing concerns over climate change and environmental degradation, GIS is being extensively used for resource management, biodiversity conservation, and natural disaster risk management. This trend is expected to continue as more organizations and governments prioritize sustainability, thereby driving the demand for advanced GIS solutions. The integration of GIS with other technologies such as big data analytics, and cloud computing is also expected to enhance its capabilities, making it an indispensable tool for environmental management.

Regionally, North America is currently leading the GIS market, driven by the widespread adoption of advanced technologies and the presence of major GIS vendors. The regionÂ’s focus on infrastructure development and smart city projects is further propelling the market growth. Europe is also witnessing significant growth owing to the increasing adoption of GIS in various industries such as agriculture and transportation. The Asia Pacific region is anticipated to exhibit the highest CAGR during the forecast period, attributed to rapid urbanization, government initiatives for digital transformation, and increasing investments in infrastructure development. In contrast, the markets in Latin America and the Middle East & Africa are growing steadily as these regions continue to explore and adopt GIS technologies.

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Location Scouting Software Market Outlook

According to our latest research, the global Location Scouting Software market size in 2024 is valued at USD 1.35 billion, with a robust year-on-year growth. The market is expected to expand at a CAGR of 11.2% from 2025 to 2033, reaching a forecasted market size of USD 3.47 billion by 2033. This remarkable growth is primarily driven by the increasing demand for streamlined, digital solutions in film, television, real estate, and event planning industries, where efficiency and collaboration are crucial to project success. As per our latest research, the adoption of location scouting software is accelerating globally due to the convergence of digital transformation, the proliferation of high-quality content production, and the need for seamless remote collaboration.

One of the most significant growth factors for the Location Scouting Software market is the rapid digitization of the media and entertainment industry. The surge in content creation for streaming platforms, television, and independent films has heightened the need for efficient location scouting processes. Traditional methods, which often involve manual site visits and paper-based documentation, are being replaced by digital platforms that offer virtual tours, interactive maps, and centralized databases. These tools not only save time and reduce costs but also enable creative teams to collaborate remotely, making it possible to scout locations globally without the need for extensive travel. As the demand for diverse and unique filming locations increases, production companies are investing in advanced software solutions to gain a competitive edge and accelerate project timelines.

Another major driver propelling the Location Scouting Software market is the growing adoption of cloud-based solutions across industries. Cloud deployment offers unparalleled flexibility, scalability, and accessibility, allowing users to access location data and collaborate in real-time from anywhere in the world. This is particularly beneficial for multinational production companies, real estate agencies, and event management firms that operate across different geographies. Cloud-based location scouting platforms often integrate with other digital tools, such as project management software, CRM systems, and geographic information systems (GIS), enhancing workflow automation and data-driven decision-making. The shift towards cloud infrastructure is further supported by advancements in cybersecurity and data privacy, which address concerns about sensitive location information being stored online.

The rising importance of immersive technologies and data analytics is also shaping the future of the Location Scouting Software market. Features such as 360-degree virtual tours, augmented reality overlays, and drone-captured imagery are becoming standard offerings, providing users with a more comprehensive understanding of potential locations. These capabilities not only improve the accuracy of site assessments but also facilitate stakeholder engagement by enabling virtual walkthroughs and scenario planning. Moreover, the integration of artificial intelligence and machine learning algorithms allows for intelligent location recommendations based on project requirements, historical data, and logistical considerations. As these technologies continue to evolve, they are expected to unlock new opportunities for innovation and differentiation within the market.

In the realm of film and television production, On-set Data Management has become increasingly vital. As productions grow in scale and complexity, the ability to efficiently manage and access data on set is crucial for maintaining workflow continuity and ensuring that all team members are aligned. This includes managing scripts, shot lists, and location data, which are essential for seamless production operations. The integration of On-set Data Management systems with location scouting software enhances the ability of production teams to adapt to changes swiftly, ensuring that the creative vision is realized without unnecessary delays. By streamlining data flow and collaboration, these systems contribute significantly to the efficiency and success of film and television projects.

From a regional perspective, North America currently dominates the Location Scouting Softwar

The Global GIS Solution Market is poised for significant expansion, projected to reach an estimated market size of approximately $15,000 million by 2025, with a robust Compound Annual Growth Rate (CAGR) of roughly 15% through 2033. This upward trajectory is fueled by an increasing demand for sophisticated location-based intelligence across diverse industries. Key drivers include the burgeoning need for advanced spatial data analysis in the Transportation sector for route optimization and infrastructure management, and in the Architecture, Engineering, and Construction (AEC) industry for better project planning and execution. Furthermore, the Telecommunications sector is leveraging GIS for network planning and deployment, while Agriculture is benefiting from precision farming techniques enabled by GIS. The Entertainment sector is also embracing GIS for location-based gaming and immersive experiences. Emerging technologies like Artificial Intelligence (AI) and the Internet of Things (IoT) are further augmenting the capabilities of GIS solutions, leading to more dynamic and responsive applications. Despite the optimistic outlook, certain factors could temper growth. Data privacy concerns and the complexity of integrating GIS solutions with existing IT infrastructures present potential restraints. Moreover, the initial investment cost for advanced GIS technologies can be a barrier for smaller organizations. However, the inherent benefits of improved decision-making, operational efficiency, and enhanced resource management are expected to outweigh these challenges. The market is characterized by a diverse range of players, from established giants like Esri and Trimble to emerging innovators, all contributing to a dynamic competitive landscape. The widespread adoption of cloud-based GIS platforms is also a significant trend, democratizing access to powerful spatial analytics and fostering greater collaboration across industries and geographical regions. This report offers an in-depth analysis of the global Geographic Information System (GIS) Solution market, projecting a significant growth trajectory from the historical period of 2019-2024 to a robust forecast period of 2025-2033, with a base year valuation of $15,000 million in 2025. Our study encompasses a comprehensive examination of market dynamics, key players, technological advancements, and emerging trends, providing actionable insights for stakeholders navigating this dynamic landscape. The estimated market value is expected to reach $28,000 million by 2033.

The BIM Software Market is booming, projected to reach [estimated 2033 value in billions] by 2033, growing at a CAGR of 13.90%. Discover key trends, drivers, and leading companies shaping this dynamic sector. Learn more about market segmentation, regional analysis, and future projections for BIM software adoption. Recent developments include: July 2024 - Esri and Autodesk have deepened their partnership to enhance data interoperability between Geographic Information Systems (GIS) and Building Information Modeling (BIM), with ArcGIS Pro now offering direct-read support for BIM and CAD elements from Autodesk's tools. This collaboration aims to integrate GIS and BIM workflows more seamlessly, potentially transforming how architects, engineers, and construction professionals work with geospatial and design data in the AEC industry., June 2024 - Hexagon, the Swedish technology giant, has acquired Voyansi, a Cordoba-based company specializing in Building Information Modelling (BIM), to enhance its portfolio of BIM solutions. This acquisition not only strengthens Hexagon's position in the global BIM market but also recognizes the talent in Argentina's tech sector, particularly in Córdoba, where Voyansi has been developing design, architecture, and engineering services for global construction markets for the past 15 years., April 2024 - Hyundai Engineering has partnered with Trimble Solution Korea to co-develop a Building Information Modeling (BIM) process management program, aiming to enhance construction site productivity through advanced 3D modeling technology. This collaboration highlights the growing importance of BIM in the construction industry, with the potential to optimize steel structure and precast concrete construction management, shorten project timelines, and reduce costs compared to traditional construction methods.. Key drivers for this market are: Governmental Mandates and International Standards Encouraging BIM Adoption, Boosting Project Performance and Productivity. Potential restraints include: Governmental Mandates and International Standards Encouraging BIM Adoption, Boosting Project Performance and Productivity. Notable trends are: Government Mandates Fueling BIM Growth.

The files linked to this reference are the geospatial data created as part of the completion of the baseline vegetation inventory project for the NPS park unit. Current format is ArcGIS file geodatabase but older formats may exist as shapefiles. The map was designed to facilitate ecologically- based natural resources management at a 1:24,000 scale with 0.5-ha minimum map unit size. Based on a provisional assessment, overall accuracy was 82.5% for Level 1 and 66.8% for Level 2. Level 1 units will likely be sufficient and most appropriate for many natural resource planning and evaluations, while Level 2 units provide added fine-scale information within major ecological groups. To support the map as a management tool, we provide an annotated map legend along with descriptions of each plant association, a corresponding diagnostic key, field forms, and a plant species list. The map was delivered in both printed form and as digital Geographic Information System (GIS) map files. The GIS format allows flexibility to update the map as new information becomes available, or as major vegetation changes, such as fire, disease or other impacts, occur in the park.

Discover the booming UK Geospatial Analytics market! Our in-depth analysis reveals a £100 million (2025 est.) market with a robust 11.26% CAGR, driven by smart city initiatives, precision agriculture, and technological advancements. Explore market trends, key players (Hexagon, Trimble, ESRI), and future projections for this dynamic sector. Recent developments include: April 2023: EDF used Esri UK corporate GIS to build a geospatial site for the Hinkley Point C nuclear power station, one of Europe's most extensive and complicated building projects. The portal provides a single picture of the entire project. They are facilitating greater cooperation and enabling new digital workflows, Assisting employees and contractors in improving safety and productivity. When the building of the nuclear reactors began, the portal has recently been expanded to include Tier-1 contractors, and it presently has over 1,500 users., April 2021: Esri UK launched a new cooperation with Tetra Tech, a worldwide consulting and engineering services company, to enhance indoor mapping capabilities by combining their expertise. Esri UK was to contribute to the partnership's robust GIS system, which had multiple indoor mapping capabilities, such as interactive floor plans and indoor location capabilities. Tetra Tech was to add 3D terrestrial laser scanning, data analytics, and CAD capabilities to GIS. They were to collaborate to provide customers with an end-to-end interior mapping solution to capitalize on an expanding need for indoor mapping for facilities management at central workplaces, campuses, or hospitals.. Key drivers for this market are: Increasing in Demand for Location Intelligence, Advancements of Big Data Analytics. Potential restraints include: Increasing in Demand for Location Intelligence, Advancements of Big Data Analytics. Notable trends are: Location data will hold the significant share.

Metadata record for data from AAS (ASAC) project 3130.

Public High latitude terrestrial ecosystems are experiencing rapid change, which is most likely caused by climate change, human impacts, and invasive species. Up-to-date and accurate spatial data at a range of scales are of crucial importance for mapping changes in these fragile ecosystems. The aim of this study is to undertake spatial analyses on the changing terrestrial ecosystems of the Windmill Islands, Antarctica and sub-Antarctic Macquarie Island. The study aims to better understand the different processes that result in ecosystem change and with new state-of-the-art high-resolution spatial data we hope to contribute to improved management strategies.

Project Objectives: Introduction

Environmental threats globally can be categorised into four main types: local impact from human activity and habitat loss; impact from alien species and homogenisation of biota; impact from climate change and impact associated with harvesting and resource extraction. All four types of impacts occur to some degree in the Antarctic region (Hull and Bergstrom 2006, Bergstrom and Selkirk 2007). This project examines change associated with these impacts in Australian Antarctic and sub-Antarctic territories. In particular, we seek to isolate signals of impact from regional climate change from those of other human-induced change within Antarctic and sub-Antarctic terrestrial ecosystems.

This project will develop and apply spatial data collection and analysis techniques for detailed baseline mapping and change detection of vegetation communities on the Windmill Islands and Macquarie Island. We will then employ these cutting-edge techniques to quantify, detect, and understand the impact of changes. In detail, the objectives of this project are to:

Objective 1: Collate and collect spatial data in order to establish a baseline map of, and detect changes in vegetation communities on the Windmill Islands and Macquarie Island.

Objective 2: Create high-resolution digital elevation models (DEM) based on GPS data and airborne laser scanning (LiDAR) of the localities.

Objective 3: Explore ecological relationships between vegetation communities and biologically relevant landscape characteristics and human-induced disturbance using terrain analysis of digital elevation models in a Geographical Information System (GIS) in order to better understand the distribution of and changes in vegetation communities. This will include the development of hydrological terrain analyses to examine the impact of changing snow conditions around Casey on vegetation communities.

Objective 4: Develop and apply new multi-scale field sampling techniques based on field photogrammetry and GPS observations at different scales (from 20cm to 20m) to measure relative percent cover of plant species and vegetation communities. This objective is of key importance to bridge the range of scale levels from small field quadrats to satellite images that cover large portions of the landscape.

Objective 5: Combine detailed plot-scale data and field photographs with terrain information and high-resolution satellite imagery to identify and map changes in both plant communities and plant stress more efficiently.

This project will deliver valuable baseline and temporal data on the impact of environmental change in Australian Antarctic and sub-Antarctic territories. It will improve our understanding of Antarctic and sub-Antarctic landscape ecology and species adaptations. It will provide a predictive GIS model that can forecast the effects of human activities in Antarctica and provide new tools for spatial multi-scale geographic analysis.

Taken from the 2009-2010 Progress Report: Progress against objectives: Objective 1: Windmill Islands moss beds In the first year of this project we found that the spatial scale of the moss beds (tens of m2) makes satellite imagery (even very high resolution imagery of 0.5 m) unsuitable for mapping their extent in sufficient detail. Due to logistical constraints aerial photography is impractical. Recent developments in the use of unmanned aerial vehicles (UAVs) for remote sensing applications provide exciting new opportunities for ultra-high resolution mapping and monitoring of the environment. This year, we developed a new UAV consisting of an electric remote controlled helicopter capable of carrying three different cameras: visible colour, near-infrared, and thermal infrared for cost-effective, efficient, and ultra-high resolution (less than 5 cm pixel size) mapping of terrestrial vegetation in the Windmill Islands, Antarctica. These three sensors allowed us to map different physical characteristics of the moss beds at resolutions of several centimetres. We had a very successful season at Casey. We managed to collect spatial data for four different moss sites: ASPA135, Red Shed, Robinson Ridge, ASPA136. We collected the following datasets: - Very accurate GPS locations for existing moss quadrat sites with a geodetic GPS receiver (cm accuracy). - For ASPA135, Red Shed, and Robinson Ridge we collected very dense GPS transects and used these data to interpolate high resolution digital elevation models (DEMs). - For all sites we collected geotagged photographs of all quadrats in addition to geotagged landscape scale photographs. - For ASPA135, Red Shed, and Robinson Ridge we flew a total of 26 UAV flights collecting visible photography (2 cm pixel size), near-infrared photography, thermal imagery, and video footage for all sites. - For the Robinson Ridge and Red Shed site we collected spectral signatures of the key moss species and other land cover types (water, rock types, lichen, snow, etc.). The handheld spectrometer was rented from Geoscience Australia. - On request of Sandra Potter and Tom Maggs, we collected GPS data and UAV photography for the Casey quarry before and after blasting to determine the extent of the blasting zone and to acquire ultra-high resolution imagery of the quarry for management purposes.

Macquarie Island This project has strong links with AAS project 3095. Phillippa Bricher (UTAS PhD student) and Jared Abdul-Rahman (UTAS volunteer and Honours student) have collected data for Phillippa's PhD project. Data collection for Phillippa's project consisted of geotagged photographs of vegetation plots with Polecam. Jared concentrated on photographing Azorella die-back. Phillippa's data will be used for vegetation classification of the island using satellite imagery and DEMs. A new WorldView-2 high-resolution satellite image was acquired for the northern half of the island on 26 December 2009. This image will be extremely useful for vegetation classification and change detection.

Objective 2 As noted in objective 1 (above), we collected dense transects of GPS data for three moss bed sites in the Windmill Islands. We interpolated the GPS height values to obtain three very high resolution DEMs (less than 0.5 m). The AAD's LiDAR instrument was not available at Casey or Macquarie Island this season, however, we requested LiDAR data collection at Davis over known moss sites. The data was collected successfully, but it hasn't been processed yet. With this dataset we are hoping to assess the usefulness of LiDAR for mapping of micro-topography. In the meantime we have continued to develop our UAV (externally funded UTAS project). We have built a larger version that is capable of carrying a mini-LiDAR instrument. We hope to employ this UAV LiDAR at our study sites in the Windmill Islands during the 2010/2011 summer season. This novel system will allow us to capture the microtopography of the moss bed areas and will allows us to more accurately model the hydrological conditions (compared to GPS derived DEMs).

Objective 3: We have already modelled several environmental parameters for the high-resolution DEMs of the Windmill Islands (ASPA135, Robinson Ridge, and the Red Shed). The derivatives include a topographic wetness index, average annual solar radiation, and slope gradient. In combination with the UAV photographs and the close-up quadrat photographs we aim to establish a relationship between the condition of the moss and environmental factors. Lucieer is currently on Study Leave at ITC in The Netherlands (March - April 2010) and the University of Calgary, Canada (April - May 2010). At these institutes Lucieer is working on a new texture-based classification technique to map healthy tussock slopes on Macquarie Island (as an indicator of island health). Preliminary highlight that this novel image classification technique is very successful at identifying tussock slopes in high resolution QuickBird imagery.

Objective 4: With the Polecam technique on Macquarie Island and with the UAV photographs in the Windmill Islands we have developed two very novel techniques for multi-scale sampling. These photographic sampling techniques will provide invaluable information for the next phase of the project.

Objective 5: We aim to further develop our UAV project and use the larger UAV with multiple sensor in future field campaigns. This will allow us to build a multi-temporal dataset of the study areas and detect changes over time. The experiments in this first field season have provided us with important insights for suitable data collection techniques and the collected data are incredibly valuable for addressing the objectives of this project.

[From The Landmap Project: Introduction, "http://www.landmap.ac.uk/background/intro.html"]

 A joint project to provide orthorectified satellite image mosaics of Landsat,
 SPOT and ERS radar data and a high resolution Digital Elevation Model for the
 whole of the UK. These data will be in a form which can easily be merged with
 other data, such as road networks, so that any user can quickly produce a
 precise map of their area of interest.

 Predominately aimed at the UK academic and educational sectors these data and
 software are held online at the Manchester University super computer facility
 where users can either process the data remotely or download it to their local
 network.

 Please follow the links to the left for more information about the project or
 how to obtain data or access to the radar processing system at MIMAS. Please
 also refer to the MIMAS spatial-side website,
 "http://www.mimas.ac.uk/spatial/", for related remote sensing materials.

Forest Ecosystem Dynamics (FED) Project Spatial Data Archive: Digital Elevation Model for the Northern Experimental Forest

The Biospheric Sciences Branch (formerly Earth Resources Branch) within the Laboratory for Terrestrial Physics at NASA's Goddard Space Flight Center and associated University investigators are involved in a research program entitled Forest Ecosystem Dynamics (FED) which is fundamentally concerned with vegetation change of forest ecosystems at local to regional spatial scales (100 to 10,000 meters) and temporal scales ranging from monthly to decadal periods (10 to 100 years). The nature and extent of the impacts of these changes, as well as the feedbacks to global climate, may be addressed through modeling the interactions of the vegetation, soil, and energy components of the boreal ecosystem.

The Howland Forest research site lies within the Northern Experimental Forest of International Paper. The natural stands in this boreal-northern hardwood transitional forest consist of spruce-hemlock-fir, aspen-birch, and hemlock-hardwood mixtures. The topography of the region varies from flat to gently rolling, with a maximum elevation change of less than 68 m within 10 km. Due to the region's glacial history, soil drainage classes within a small area may vary widely, from well drained to poorly drained. Consequently, an elaborate patchwork of forest communities has developed, supporting exceptional local species diversity.

Howland DEM is a digital elevation model of the 10km X 10km area located within the Northern Experimental Forest. The contours and elevation benchmarks from the United States Geological Survey 7.5'quadsheets for Howland and Lagrange were digitized and then rasterized into a 10m X 10m grid.

The data was revised by projecting it into NAD83 datum by L. Prihodko at NASA Goddard Space Flight Center. Although the data was received at GSFC with an undeclared datum, it was assumed to be in North American Datum of 1927 (NAD27) because the original map from which the data were digitized was in NAD27. Also, the data fit exactly within the bounds of the FED site grid (even Universal Transverse Mercator projections) in NAD27. After projecting the data into NAD83 it was checked to insure that the change was a linear translation of the coordinates only and that the gridded values did not undergo any changes.

Forest Ecosystem Dynamics (FED) Project Spatial Data Archive: Global Positioning System Ground Control Points and Field Site Locations from 1995

The Biospheric Sciences Branch (formerly Earth Resources Branch) within the Laboratory for Terrestrial Physics at NASA's Goddard Space Flight Center and associated University investigators are involved in a research program entitled Forest Ecosystem Dynamics (FED) which is fundamentally concerned with vegetation change of forest ecosystems at local to regional spatial scales (100 to 10,000 meters) and temporal scales ranging from monthly to decadal periods (10 to 100 years). The nature and extent of the impacts of these changes, as well as the feedbacks to global climate, may be addressed through modeling the interactions of the vegetation, soil, and energy components of the boreal ecosystem.

The Howland Forest research site lies within the Northern Experimental Forest of International Paper. The natural stands in this boreal-northern hardwood transitional forest consist of spruce-hemlock-fir, aspen-birch, and hemlock-hardwood mixtures. The topography of the region varies from flat to gently rolling, with a maximum elevation change of less than 68 m within 10 km. Due to the region's glacial history, soil drainage classes within a small area may vary widely, from well drained to poorly drained. Consequently, an elaborate patchwork of forest communities has developed, supporting exceptional local species diversity.

This data set is in ARC/INFO export format and contains Global Positioning Systems (GPS) ground control points in and around the International Paper Experimental Forest, Howland ME.

A Trimble roving receiver placed on the top of the cab of a pick-up truck and leveled was used to collect position information at selected sites (road intersections) across the FED project study area. The field collected data was differentially corrected using base files measured by a Trimble Community Base Station. The Community Base Station is run by the Forestry Department at the University of Maine, Orono (UMO). The base station was surveyed by the Surveying Engineering Department at UMO using classical geodetic methods. Trimble software was used to produce coordinates in Universal Transverse Mercator (UTM) WGS84. Coordinates were adjusted based on field notes. All points were collected during January 1995 and differentially corrected.

File-based data for download: https://www.sciencebase.gov/catalog/item/6202823fd34e622189dc98bbFishery and aquatic scientists often assess habitats to understand the distribution, status, stressors, and relative abundance of aquatic resources. Due to the spatial nature of aquatic habitats and the increasing scope of management concerns, using traditional analytical methods for assessment is often difficult.However, advancements in the geographic information systems (GIS) field and related technologies have enabled scientists and managers to more effectively collate, archive, display, analyze, and model spatial and temporal data. For example, spatially explicit habitat assessment models allow for a more robust interpretation of many terrestrial and aquatic datasets, including physical and biological monitoring data,habitat diversity, watershed characteristics, and socioeconomic parameters.For this project, Downstream Strategies (DS) was contracted by the United States Fish and Wildlife Service(USFWS) to create a spatially explicit data analysis and modeling system for assessing fish habitat condition across the northern Great Plains based on a range of metrics. The data and tools developed as part of the project will be applicable to watersheds, streams, rivers, and lakes within the boundaries of the USFWS’s Great Plains Fish Habitat Partnership (FHP) and scalable to the national level.Generally, the models, analyses, and data produced as a result of this project are intended to enable a unique, broad, and spatially explicit understanding of the links between natural habitat conditions, human influences on aquatic habitats, and aquatic health. Specifically, the outcomes will be utilized to conduct fish habitat condition assessments based on a range of stakeholder‐specified metrics and modeling endpoints that will help determine the natural drivers of aquatic conditions as well as the major stressors at various spatial scales in specific FHP regions.

With an ever increasing number of disasters impacting citizens throughout the Nation, the need and criticality of regional situational awareness for emergency management has never been higher. In 2015, CUSEC and its Member States, with major funding support from the Delta Regional Authority, partnered to implement the first phase of a new regional information sharing project using geographic information systems (GIS) and other emerging technology to support emergency response, recovery, and community resiliency. Integral to this project is the CUSEC Regional Common Operating Platform (RCOP)—a cloud-based GIS and information management and sharing platform. The CUSEC RCOP was established to provide an eight-state operational view of essential elements of information (EEIs) such as power outages, transportation infrastructure, critical facility status, shelter status, and more. The RCOP is capable of aggregating this EEI data from hundreds of different service providers and databases into one platform for regional situational awareness, as well as integrating with existing systems. It automates data collection and enables emergency managers to focus on higher priority tasks such as identifying and sending resources to an affected area, instead of spending time on information gathering and data entry—a costly and labor intensive task.The purpose of the CUSEC RCOP is singular—improving regional information sharing and situational awareness to save lives and lessen the overall impacts of disasters. It also supports at least four mission areas under Presidential Policy Directive 8 (PPD-8): National Preparedness including,Purposeful use and sharing of data and information that spans pre- and post-disaster phases;Systematic coordination of intra- and inter-state mutual aid; Integration and interoperability of EM tools and technologies across multiple jurisdictions; andEnhancement of response capabilities through establishment of private-public partnerships.The CUSEC RCOP is a unique platform and is the largest implementation of its kind in the United States for emergency management purposes. The ability to seamlessly collect, aggregate, and share data from hundreds of different data providers has never been done on this scale—it is a national model of excellence for information sharing to improve disaster response and recovery. Change-log2018-09-18: Added tabs for ESF#1: Communications and Private Sector.2018-07-05: [[UPDATE]] Updated URLs of the main CUSEC Regional Common Operating Picture Dashboard Series App, and embedded apps, to remove the source organization name 'cusec.maps'. This addresses issue in ArcGIS Online that required users accessing app to sign into CUSEC organization. 2018-05-01: [[UPDATE]] Added ESF#1 (CUSEC Region Transportation Viewer).2018-02-14: Initial draft of tabbed dashboard, including tabs for ESF#12 (CUSEC Regional Power Outage Summary Dashboard), ESF#4 (Firefighting dashboard), ESF#6 (Shelters).Please leave feedback or questions in the Comments section below.

File-based data for download: https://www.sciencebase.gov/catalog/item/6206aa8dd34ec05caca52619 Fishery and aquatic scientists often assess habitats to understand the distribution, status, stressors, and relative abundance of aquatic resources. Due to the spatial nature of aquatic habitats and the increasing scope of management concerns, using traditional analytical methods for assessment is often difficult. However, advancements in the geographic information systems (GIS) field and related technologies have enabled scientists and managers to more effectively collate, archive, display, analyze, and model spatial and temporal data. For example, spatially explicit habitat assessment models allow for a more robust interpretation of many terrestrial and aquatic datasets, including physical and biological monitoring data, habitat diversity, watershed characteristics, and socioeconomic parameters. For this project, Downstream Strategies (DS) was contracted by the United States Fish and Wildlife Service (USFWS) to create a spatially explicit data analysis and modeling system for assessing fish habitat condition across the northern Great Plains based on a range of metrics. The data and tools developed as part of the project will be applicable to watersheds, streams, rivers, and lakes within the boundaries of the USFWS’s Great Plains Fish Habitat Partnership (FHP) and scalable to the national level. Generally, the models, analyses, and data produced as a result of this project are intended to enable a unique, broad, and spatially explicit understanding of the links between natural habitat conditions, human influences on aquatic habitats, and aquatic health. Specifically, the outcomes will be utilized to conduct fish habitat condition assessments based on a range of stakeholder‐specified metrics and modeling endpoints that will help determine the natural drivers of aquatic conditions as well as the major stressors at various spatial scales in specific FHP regions.