This dataset contains remote sensing data for every village in the state of Bihar, India. For most of these villages, the data contains the corresponding electrification rate as reported by the Garv data platform from the Indian government as of July 2017. This dataset contains satellite imagery, political boundaries, lights at night imagery, rainfall measurements, and vegetation indices data for 45,220 villages and the electrification rate data for 32,817 of those villages. This dataset may be of particular interest to those investigating how electricity access maps to infrastructure and agricultural production.This dataset was compiled as part of the Summer 2017 Duke University Data+ team, titled "Electricity Access in Developing Countries from Aerial Imagery."

Photogrammetry Rigs Market Outlook

As per our latest research, the global Photogrammetry Rigs market size reached USD 1.47 billion in 2024. The market is witnessing robust expansion, propelled by a CAGR of 11.2% from 2025 to 2033. By the end of the forecast period in 2033, the market is anticipated to attain a value of USD 4.12 billion. This remarkable growth is primarily driven by the increasing adoption of advanced 3D imaging technologies across diverse industries, coupled with the rapid integration of photogrammetry solutions in both traditional and emerging applications.

A key growth factor for the Photogrammetry Rigs market is the surge in demand for high-precision 3D modeling and digital reconstruction. Industries such as architecture, construction, and manufacturing are increasingly leveraging photogrammetry rigs to create detailed digital twins, streamline project management, and enhance quality control. The proliferation of Building Information Modeling (BIM) and Industry 4.0 initiatives has further cemented the role of photogrammetry as a critical enabler for digital transformation. Additionally, the integration of photogrammetry with other technologies like LiDAR and artificial intelligence is enhancing the accuracy and efficiency of data capture, thereby expanding the potential use cases and accelerating market growth.

Another significant driver is the expanding application of photogrammetry rigs in the media and entertainment industry. The demand for visually compelling content, particularly in film production, gaming, and virtual reality experiences, has led to the widespread adoption of multi-camera and drone-based photogrammetry setups. These rigs facilitate the creation of hyper-realistic environments and characters, enabling studios to push the boundaries of visual effects and immersive storytelling. As consumer expectations for high-quality digital content continue to rise, the media sectorÂ’s investment in photogrammetry technologies is expected to remain a major catalyst for the marketÂ’s advancement.

Moreover, the growing emphasis on cultural heritage preservation and archaeological documentation is fueling the adoption of photogrammetry rigs. Museums, research institutions, and government agencies are increasingly utilizing these systems to digitally archive artifacts, monuments, and historical sites. The ability of photogrammetry to generate accurate, non-invasive 3D reconstructions is particularly valuable for the conservation and restoration of fragile or endangered cultural assets. This trend is further supported by international collaborations and funding initiatives aimed at safeguarding global heritage, thereby opening new avenues for market expansion.

Regionally, North America and Europe continue to dominate the Photogrammetry Rigs market due to their advanced technological infrastructure and strong presence of key industry players. However, the Asia Pacific region is emerging as a high-growth market, driven by rapid urbanization, increased investments in infrastructure, and the growing adoption of digital technologies in sectors such as construction, manufacturing, and entertainment. Countries like China, Japan, and India are witnessing a surge in demand for photogrammetry solutions, supported by government initiatives and a burgeoning ecosystem of technology startups. This regional diversification is expected to further stimulate global market growth throughout the forecast period.

In the realm of photogrammetry, the emergence of the Light Field Capture Rig is revolutionizing the way 3D data is collected and processed. This innovative technology captures light fields, allowing for the reconstruction of scenes with remarkable depth and detail. Unlike traditional photogrammetry rigs, light field capture systems can capture multiple perspectives simultaneously, enabling more accurate and comprehensive data collection. This capability is particularly beneficial in applications requiring high fidelity and precision, such as virtual reality and advanced visual effects. As industries continue to push the boundaries of digital content creation, the adoption of Light Field Capture Rigs is poised to transform workflows and enhance the quality of outputs across various sectors.

A drone survey was conducted in February 2023 at the city center of Bhopal City, Madhya Pradesh, India. The main objective of this survey is to better automate urban scene understanding in the context of the Indian subcontinent. The dataset contains 529 image tiles of size 2048x2048. The spatial resolution of the imagery is 2 cm. Along with the RGB imagery, corresponding digital surface models generated from dense matching and manually annotated labels with five classes are also available. Date Submitted: 2023-08-29

The global photogrammetry software market is poised for robust growth, driven by its expanding applications across diverse industries. With a current market size estimated at around $1,200 million in 2025, the sector is projected to expand at a Compound Annual Growth Rate (CAGR) of approximately 16% over the forecast period (2025-2033). This impressive expansion is fueled by the increasing demand for accurate 3D modeling and digital representation of real-world objects and environments. Key drivers include the burgeoning use of photogrammetry in cultural heritage and museum preservation, enabling detailed digital archiving and virtual exhibition experiences. Furthermore, the entertainment industry's adoption for creating realistic environments in films and games, along with the transformative impact of 3D printing for rapid prototyping and custom manufacturing, significantly bolsters market growth. The integration of photogrammetry with drones and robots is also a major catalyst, enabling efficient aerial surveying, inspection, and data capture for sectors like geology, mining, and construction. The market segmentation reveals a dynamic landscape. The "Based on Images and Video" segment is expected to dominate, leveraging the widespread availability and decreasing cost of high-resolution cameras and mobile devices. However, the "Based on 3D Scanning" segment, while perhaps more niche, offers unparalleled accuracy for specialized applications. Prominent industry players like Hexagon, Trimble, and Autodesk are actively innovating, introducing advanced algorithms and cloud-based solutions to enhance usability and scalability. Restraints, such as the initial investment in high-end equipment and the need for skilled personnel, are gradually being mitigated by the development of more user-friendly software and the increasing accessibility of powerful processing capabilities. Geographically, North America and Europe currently lead the market due to early adoption and significant investments in technology, but the Asia Pacific region, particularly China and India, is emerging as a high-growth area with rapid industrialization and increasing digital transformation initiatives. This report offers an in-depth analysis of the global Photogrammetry Software market, spanning a comprehensive study period from 2019 to 2033, with a base and estimated year of 2025 and a forecast period of 2025-2033. It provides invaluable insights for stakeholders looking to understand the market's trajectory, key players, and burgeoning opportunities. The market is projected to witness substantial growth, with an estimated market size in the hundreds of millions of dollars by the end of the forecast period.

Photogrammetry SaaS Market Outlook

According to our latest research, the Global Photogrammetry SaaS market size was valued at $1.2 billion in 2024 and is projected to reach $4.8 billion by 2033, expanding at a CAGR of 16.7% during 2024–2033. The rapid acceleration in digital transformation initiatives across industries, coupled with the increasing adoption of cloud-based geospatial solutions, is a major driver fueling the growth of the Photogrammetry SaaS market globally. Organizations are leveraging photogrammetry software-as-a-service offerings to streamline workflows, enhance data accuracy, and reduce operational costs, leading to a significant surge in market demand. As industries such as construction, mining, agriculture, and entertainment increasingly rely on high-resolution 3D mapping and modeling, the role of photogrammetry SaaS is becoming pivotal for operational efficiency and competitive advantage.

Regional Outlook

North America currently dominates the global Photogrammetry SaaS market, accounting for the largest market share, estimated at over 38% of total revenue in 2024. This leadership is attributed to the region’s mature technology infrastructure, widespread adoption of advanced geospatial analytics, and the presence of leading SaaS providers. The United States, in particular, benefits from robust demand across its architecture, engineering, and construction sectors, where photogrammetry is integral to project planning and monitoring. Government initiatives aimed at smart city development and infrastructure modernization further stimulate market growth. Additionally, the region’s favorable regulatory climate and high investment in R&D foster a conducive environment for photogrammetry SaaS innovation and deployment.

The Asia Pacific region is projected to be the fastest-growing market for Photogrammetry SaaS, with an anticipated CAGR exceeding 20% through 2033. This remarkable growth is propelled by rapid urbanization, increasing infrastructure investments, and the expanding footprint of cloud computing in countries like China, India, and Japan. The region is witnessing significant adoption of photogrammetry SaaS in mining, agriculture, and real estate, where scalable and cost-effective mapping solutions are critical. Government-backed digitalization programs and smart city projects are further catalyzing demand. Venture capital inflows and strategic alliances between global SaaS vendors and local enterprises are accelerating technology transfer and market penetration, positioning Asia Pacific as a hotbed for photogrammetry SaaS innovation.

Emerging economies in Latin America and Middle East & Africa are experiencing steady, albeit slower, adoption of photogrammetry SaaS solutions. Challenges such as limited digital infrastructure, skills shortages, and varying regulatory standards can impede market growth. However, localized demand is rising in sectors like agriculture, mining, and real estate, driven by the need for affordable and efficient mapping solutions. Policy reforms aimed at digital transformation and foreign investment in infrastructure are gradually improving market prospects. As these regions continue to modernize and overcome connectivity barriers, the adoption of photogrammetry SaaS is expected to accelerate, particularly among small and medium enterprises seeking scalable technology solutions.

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Photogrammetry at Scale Platforms Market Outlook

According to our latest research, the Global Photogrammetry at Scale Platforms market size was valued at $1.9 billion in 2024 and is projected to reach $6.8 billion by 2033, expanding at a robust CAGR of 14.7% during the forecast period of 2025–2033. This significant growth trajectory is primarily fueled by the accelerating adoption of advanced geospatial analytics and 3D modeling technologies across industries such as construction, mining, agriculture, and government. The need for high-precision mapping, cost-effective surveying, and real-time data processing at scale is driving enterprises to invest in photogrammetry platforms that can seamlessly integrate with existing workflows and deliver actionable intelligence. As industries increasingly digitize their operations and infrastructure, the demand for scalable, cloud-enabled photogrammetry solutions is expected to rise exponentially, positioning the market for sustained expansion over the next decade.

Regional Outlook

North America currently commands the largest share of the global Photogrammetry at Scale Platforms market, accounting for over 38% of total revenue in 2024. This dominance is attributed to the region’s mature technological landscape, robust digital infrastructure, and early adoption of geospatial analytics in sectors like construction, mining, and government. The United States, in particular, has witnessed widespread integration of photogrammetry solutions in large-scale infrastructure projects, urban planning, and disaster management, supported by favorable regulatory frameworks and significant R&D investments. Leading platform providers and a thriving ecosystem of drone and sensor manufacturers further consolidate North America’s leadership, making it the benchmark for innovation and deployment standards in the photogrammetry domain.

The Asia Pacific region is poised to be the fastest-growing market, projected to register a CAGR of 18.2% from 2025 to 2033. This rapid expansion is underpinned by substantial investments in smart city initiatives, infrastructure modernization, and digital agriculture, particularly in countries such as China, India, and Japan. Government-backed projects and public-private partnerships are accelerating the adoption of photogrammetry platforms for urban planning, land management, and resource exploration. Additionally, the proliferation of affordable drones and mobile mapping devices has democratized access to photogrammetric tools among small and medium enterprises, further boosting market penetration across diverse industry verticals in the region.

In emerging economies across Latin America, the Middle East, and Africa, the adoption of photogrammetry at scale platforms is gaining momentum, albeit at a more measured pace due to infrastructural and regulatory challenges. While sectors like mining, agriculture, and oil & gas present significant opportunities for photogrammetry-driven efficiency gains, localized demand is often tempered by limited digital infrastructure, lack of standardized policies, and budgetary constraints. However, ongoing government initiatives aimed at digital transformation, coupled with increasing awareness about the benefits of high-resolution mapping and 3D modeling, are gradually overcoming these barriers. As technology transfer and capacity-building efforts intensify, these regions are expected to emerge as vital growth frontiers for the global photogrammetry market in the long term.

Report Scope

The buckling instability of cylindrical shells under axial compression has been one of the most renowned problems in structural engineering for several decades. Many pioneering works in the 20th century have provided insights into understanding the shells' infamous imperfection sensitivity and led to reliability-based designs. However, a recent surge in numerical studies of the snaking phenomenon explores the development of a localised stable post-buckling mode in axially compressed cylindrical shells. Hitherto, none of the experimental studies report on the evolution of azimuthal snaking. In this work, experimental studies are carried out with the objective of revealing the snaking phenomenon. The axial compression experiments are performed on 3D-printed shells made of thermoplastic polyurethane (TPU). The work's novelty lies in the usage of TPU shells for slowing down the propagation of circumferential dimples and making it feasible to capture them using Photogrammetry. Despite the ma..., The dataset of Numerical results of buckling of 3D printed shells was generated using ABAQUS, a Finite element software. The dataset of Experimental results of buckling of 3D printed shells consists of load-displacement response under compression. In addition, the post-buckling mode shapes of the shell acquired using Photogrammetry were also uploaded., , This README file was generated on 18/01/2024 by G Raju.

GENERAL INFORMATION

1. Title of Dataset: Experimental studies on snaking in 3D-printed cylindrical shells under axial compression using photogrammetry

2. Author Information A. Principal Investigator Contact Information Name: G Raju Institution: Indian Institute of Technology, Hyderabad Address: India Email: B. Associate or Co-investigator Contact Information Name: V Ravulapalli Institution: Indian Institute of Technology, Hyderabad Address: India Email:

3. Date of data collection: March-December 2023

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SHARING/ACCESS INFORMATION

1. Recommended citation for this dataset: Raju, Gangadharan; Ravulapalli, Vineeth; Narayanamurthy, Vijayabaskar (2024). Experimental studies on snaking in 3D-printed cylindrical shells under axial compression using photogrammetry. Dryad Digital Repository.

2. Links to other publicly a...

Photogrammetry Ground Control for Corridors Market Outlook

According to our latest research, the Global Photogrammetry Ground Control for Corridors market size was valued at $1.97 billion in 2024 and is projected to reach $5.32 billion by 2033, expanding at a robust CAGR of 11.2% during 2024–2033. The primary driver fueling this market's growth is the increasing demand for accurate, real-time geospatial data in large-scale infrastructure projects, particularly in transportation and utility corridor development. The adoption of advanced photogrammetry solutions is enabling stakeholders to enhance operational efficiency, reduce field time, and improve decision-making processes. As digital transformation accelerates across construction, energy, and government sectors, the integration of photogrammetry ground control is becoming indispensable for corridor mapping, monitoring, and management.

Regional Outlook

North America currently dominates the Photogrammetry Ground Control for Corridors market, holding the largest share with an estimated market value of $780 million in 2024. This region’s leadership is attributed to its mature infrastructure, early adoption of advanced geospatial technologies, and a strong regulatory framework supporting digital mapping and corridor management. The United States, in particular, has witnessed substantial investments from both public and private sectors in transportation and utility corridor projects. The presence of leading photogrammetry solution providers and a robust ecosystem of hardware and software vendors further cements North America’s position as the global leader. Additionally, government initiatives aimed at upgrading national infrastructure and implementing smart city projects continue to drive market growth in this region.

Asia Pacific is identified as the fastest-growing region in the Photogrammetry Ground Control for Corridors market, projected to record a CAGR of 14.5% between 2024 and 2033. Rapid urbanization, expanding transportation networks, and significant investments in energy and utility infrastructure are the primary growth drivers. Countries such as China, India, and Japan are aggressively deploying photogrammetry solutions for mapping and monitoring extensive corridor projects, including high-speed railways, highways, and pipelines. The region’s strong government support for digital transformation, coupled with the emergence of local photogrammetry technology providers, is accelerating adoption rates. Moreover, increasing awareness about the benefits of precise geospatial data for planning and maintenance is encouraging enterprises to invest in advanced ground control systems.

In contrast, emerging economies in Latin America, the Middle East, and Africa are gradually embracing photogrammetry ground control solutions, albeit at a slower pace. These regions face unique challenges such as limited technical expertise, budget constraints, and fragmented regulatory landscapes. However, localized demand for efficient corridor management in oil & gas, utilities, and transportation is steadily rising. Governments in these regions are beginning to recognize the value of digital mapping for infrastructure development and environmental monitoring. International collaborations, capacity-building initiatives, and tailored solutions are helping to overcome adoption barriers, paving the way for future market growth.

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Photogrammetry, 1079 images captured with Nikon d7000, while the ship was in drydock for regular painting and maintenance. Images were masked with Agisoft Metashape, processed with Reality Capture.

Drone Photogrammetry Analytics Market Outlook

According to our latest research, the Global Drone Photogrammetry Analytics market size was valued at $1.2 billion in 2024 and is projected to reach $7.8 billion by 2033, expanding at a CAGR of 23.2% during 2024–2033. One of the primary drivers fueling this remarkable growth is the rapid adoption of drone technology across various industries for high-precision mapping, surveying, and spatial data analytics. The integration of advanced photogrammetry software with drone platforms has revolutionized the way organizations capture, process, and analyze geospatial data, resulting in enhanced operational efficiency, cost savings, and improved decision-making. As industries such as construction, agriculture, mining, and oil & gas increasingly demand real-time, high-resolution aerial data, the drone photogrammetry analytics market is poised for significant expansion in the coming years.

Regional Outlook

North America currently holds the largest share in the global drone photogrammetry analytics market, accounting for more than 35% of total revenue in 2024. This dominance is attributed to the region’s mature technology landscape, strong presence of leading drone and analytics solution providers, and robust regulatory frameworks that facilitate commercial drone operations. The United States, in particular, has witnessed widespread adoption of drone photogrammetry for applications in construction, agriculture, and environmental monitoring. The presence of established infrastructure, readily available venture capital, and progressive policies from agencies such as the Federal Aviation Administration (FAA) have further accelerated market growth. Additionally, North American enterprises are increasingly investing in R&D and pilot projects to explore new use cases, which is bolstering the region’s leadership in this domain.

The Asia Pacific region is expected to register the fastest CAGR of 26.4% during the forecast period, driven by rapid industrialization, urbanization, and expanding application of drone photogrammetry in emerging economies such as China, India, and Southeast Asian countries. Governments in the region are actively promoting the adoption of drone-based analytics for infrastructure development, smart city planning, disaster management, and precision agriculture. Significant investments from both public and private sectors, coupled with a growing ecosystem of local drone manufacturers and software developers, are fueling market expansion. The region’s large agricultural sector, in particular, is leveraging drone photogrammetry for yield optimization, crop health monitoring, and resource management, which is expected to further accelerate adoption rates.

Emerging economies in Latin America, the Middle East, and Africa are beginning to recognize the value of drone photogrammetry analytics, but continue to face challenges related to regulatory uncertainty, limited access to advanced technologies, and insufficient skilled workforce. While countries like Brazil, South Africa, and the UAE are making strides in deploying drones for mining, oil & gas, and environmental monitoring, widespread adoption remains constrained by high initial investment costs and fragmented policy frameworks. However, localized demand for efficient land management, resource monitoring, and infrastructure development is gradually spurring the uptake of drone photogrammetry solutions. As regulatory clarity improves and technology becomes more accessible, these regions are expected to contribute increasingly to global market growth.

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Volumes and uncertainties associated with surface lowering at extraction sites of granite mines around Bengaluru, South India.

Photogrammetry AI Market Outlook

According to our latest research, the Global Photogrammetry AI market size was valued at $1.6 billion in 2024 and is projected to reach $7.2 billion by 2033, expanding at a CAGR of 17.8% during 2024–2033. The primary driver for this robust growth is the increasing integration of artificial intelligence (AI) with photogrammetric solutions, which is revolutionizing data capture, processing, and analysis across various industries. AI-powered photogrammetry is enabling unprecedented automation, accuracy, and scalability in applications such as construction, mining, agriculture, and urban planning. As industries demand faster and more precise spatial data, the adoption of AI-driven photogrammetry continues to accelerate, setting new standards for operational efficiency and decision-making.

Regional Outlook

North America currently holds the largest share of the Photogrammetry AI market, accounting for approximately 38% of the global market value in 2024. This dominance is attributed to the region's mature technological ecosystem, presence of leading market players, and robust investment in AI research and development. The United States, in particular, has been at the forefront of adopting photogrammetry AI in sectors such as construction, aerospace, and defense, driven by supportive government policies and significant infrastructure projects. The region’s regulatory environment fosters innovation, while the high adoption rate of advanced surveying and mapping technologies further cements North America’s leadership position in this market.

The Asia Pacific region is experiencing the fastest growth in the Photogrammetry AI market, with a projected CAGR of 21.2% from 2024 to 2033. This rapid expansion is fueled by increasing investments in smart city initiatives, infrastructure development, and digital transformation across key markets such as China, India, Japan, and South Korea. Governments and private enterprises in these countries are leveraging AI-powered photogrammetry for urban planning, agricultural monitoring, and disaster management. The surge in drone usage, coupled with growing awareness of the benefits of AI-driven geospatial analytics, is propelling the region’s market forward. Additionally, the influx of foreign direct investments and the rise of local technology startups are further accelerating market penetration and innovation.

Emerging economies in Latin America, the Middle East, and Africa are gradually adopting Photogrammetry AI solutions, although they face unique challenges such as limited technical expertise, high initial investment costs, and fragmented regulatory frameworks. Nonetheless, there is a growing recognition of the value proposition offered by AI-enhanced photogrammetric tools in sectors like mining, agriculture, and oil & gas. Localized demand is being shaped by the need for efficient resource management and environmental monitoring. However, policy inconsistencies and infrastructure gaps may slow the pace of adoption in these regions. Despite these hurdles, targeted government initiatives and international partnerships are beginning to bridge the technology divide, paving the way for future growth.

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This dataset was collected by an Autonomous Surface Vehicle in Tessier, Réunion - 2024-05-15.

    Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation.
    These images can be annotated and shared to train IA models which can in turn predict the objects on the images.
    We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps.

Generic folder structure

    YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number 
    ├── DCIM : folder to store videos and photos depending on the media collected. 
    ├── GPS : folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. 
    │  ├── BASE : files coming from rtk station or any static positioning instrument. 
    │  └── DEVICE : files coming from the device. 
    ├── METADATA : folder with general information files about the session. 
    ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. 
    │  ├── BATHY : output folder for bathymetry raw data extracted from mission logs. 
    │  ├── FRAMES : output folder for georeferenced frames extracted from DCIM videos. 
    │  ├── IA : destination folder for image recognition predictions. 
    │  └── PHOTOGRAMMETRY : destination folder for reconstructed models in photogrammetry. 
    └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.).    

Software All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!

In-area performance of five deep learning architectures for granite quarry segmentation in Bengaluru, South India.

Results of the Monte-Carlo experiment (lowering-only) at 1 m grid.

this dataset was collected by an unmanned aerial vehicle in hermitage, réunion - 2023-12-01.underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation. these images can be annotated and shared to train ia models which can in turn predict the objects on the images. we provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps.survey information camera: hasselblad l1d-20c number of images: 119 total size : 1.04 gb flight start: 2023:12:01 15:07:31 flight end: 2023:12:01 15:13:31 flight duration: 0h 6min 0sec median height: 79.9 m area covered: 3.93 hageneric folder structureyyyymmdd_countrycode-optionalplace_device_session-number├── dcim : folder to store videos and photos depending on the media collected.├── gps : folder to store any positioning related file. if any kind of correction is possible on files (e.g. post-processed kinematic thanks to rinex data) then the distinction between device data and base data is made. if, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the gps folder.│ ├── base : files coming from rtk station or any static positioning instrument.│ └── device : files coming from the device.├── metadata : folder with general information files about the session.├── processed_data : contain all the folders needed to store the results of the data processing of the current session.│ ├── bathy : output folder for bathymetry raw data extracted from mission logs.│ ├── frames : output folder for georeferenced frames extracted from dcim videos.│ ├── ia : destination folder for image recognition predictions.│ └── photogrammetry : destination folder for reconstructed models in photogrammetry.└── sensors : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot, mission plan etc.).softwareall the raw data was processed using our worflow.all predictions were generated by our inference pipeline.you can find all the necessary scripts to download this data in this repository.enjoy your data with seatizendoi!

Characteristics of used spectral bands of Sentinel-2 images for the study of granite mines around Bengaluru, South India.

Photogrammetry Software as a Service (SaaS) Market Outlook

According to our latest research, the Global Photogrammetry Software as a Service (SaaS) market size was valued at $1.2 billion in 2024 and is projected to reach $4.7 billion by 2033, expanding at a robust CAGR of 16.7% during 2024–2033. The primary driver propelling this market’s impressive growth is the rapid adoption of cloud-based photogrammetry solutions across industries seeking scalable, cost-effective, and highly accurate 3D mapping, modeling, and measurement capabilities. As enterprises increasingly digitize workflows and leverage automation for asset management, infrastructure inspection, and immersive visualization, the demand for photogrammetry SaaS platforms is accelerating globally. This shift is further reinforced by advancements in AI-driven image processing, integration with IoT devices and drones, and the need for real-time collaboration across geographically dispersed teams.

Regional Outlook

North America holds the largest share in the global Photogrammetry Software as a Service market, accounting for approximately 38% of the total market value in 2024. This dominance is attributed to the region's mature technology ecosystem, high digital adoption rates, and significant investments in infrastructure digitization, particularly across the United States and Canada. The presence of leading SaaS providers, robust venture capital funding, and favorable regulatory frameworks supporting innovation in sectors such as construction, engineering, and aerospace further bolster North America's market leadership. Additionally, the widespread use of drones and advanced imaging systems for mapping, surveying, and inspection activities has catalyzed enterprise adoption of photogrammetry SaaS, enabling organizations to streamline operations and improve decision-making accuracy.

The Asia Pacific region is forecasted to be the fastest-growing market, with a projected CAGR of 20.3% during the 2024–2033 period. Rapid urbanization, infrastructure development, and the expansion of smart city initiatives in countries like China, India, Japan, and South Korea are driving significant investments in digital mapping and 3D modeling technologies. The increasing availability of affordable cloud infrastructure, coupled with government initiatives aimed at modernizing agriculture, mining, and transportation, is fueling the adoption of photogrammetry SaaS solutions. Furthermore, the region’s burgeoning startup ecosystem and growing demand for precision agriculture, urban planning, and resource management are expected to sustain high growth rates throughout the forecast period.

In emerging economies across Latin America, the Middle East, and Africa, the adoption of photogrammetry SaaS is gaining momentum but faces unique challenges. Limited access to high-speed internet, budgetary constraints, and a shortage of skilled professionals are restraining market penetration. However, localized demand for land surveying, mining, and infrastructure monitoring is rising, with governments and private enterprises increasingly recognizing the value of cloud-based photogrammetry for optimizing resource allocation and supporting sustainable development. Policy reforms aimed at digital transformation, coupled with international collaborations, are expected to gradually overcome these barriers and unlock new growth opportunities in these regions.

Report Scope