3D Camera Market by Product Type, Image Sensing Technology, Deployment, Application, End-Use Industry, Distribution Channel

List of Tables

The 3D Camera Market was valued at USD 5.34 billion in 2024 and is projected to grow to USD 6.27 billion in 2025, with a CAGR of 17.93%, reaching USD 14.37 billion by 2030.

KEY MARKET STATISTICS
Base Year [2024]	USD 5.34 billion
Estimated Year [2025]	USD 6.27 billion
Forecast Year [2030]	USD 14.37 billion
CAGR (%)	17.93%

Unveiling the Evolution and Strategic Importance of Three-Dimensional Camera Systems in Modern Industrial, Commercial, and Consumer Landscapes

The advent of three-dimensional camera technology represents a pivotal turning point in the way organizations and end users capture, interpret, and leverage visual information. Initially conceived as specialized instrumentation for scientific and industrial inspection, these imaging systems have rapidly expanded beyond niche applications to become integral enablers of advanced automation and human interaction. Through continuous refinement of hardware components and algorithmic processing, contemporary three-dimensional cameras now deliver unprecedented accuracy in depth perception, enabling sophisticated scene reconstruction and object detection that were once the domain of theoretical research.

Over the past decade, innovations such as miniaturized sensors, refined optical designs, and enhanced on-chip processing capabilities have driven three-dimensional cameras from bulky laboratory installations to compact modules suitable for consumer electronics. This transition has unlocked new possibilities in fields ranging from quality inspection in manufacturing lines to immersive entertainment experiences in gaming and virtual reality. As a result, business leaders and technical specialists alike are reevaluating traditional approaches to data acquisition, recognizing that three-dimensional imaging offers a deeper layer of intelligence compared to conventional two-dimensional photography.

Furthermore, the strategic importance of these systems continues to grow in tandem with industry digitization initiatives. By combining high-fidelity spatial data with advanced analytics and machine learning, enterprises can automate complex tasks, optimize resource allocation, and mitigate risks associated with human error. Consequently, three-dimensional cameras have emerged as foundational elements in the broader push toward intelligent operations, setting the stage for a future where real-world environments can be captured, analyzed, and acted upon with unparalleled precision.

In addition, the emergence of digital twin frameworks has magnified the strategic relevance of three-dimensional cameras. By feeding accurate spatial data into virtual replicas of physical assets, organizations can monitor performance in real time, optimize maintenance schedules, and simulate operational scenarios. This capability has gained particular traction in sectors such as aerospace and energy, where the fusion of real-world measurements and simulation accelerates innovation while reducing risk exposure. As enterprises pursue digital transformation objectives, the precision and fidelity offered by three-dimensional imaging systems become indispensable components of enterprise technology stacks.

Charting the Dynamics of Technological Breakthroughs and Market Convergence Reshaping Three-Dimensional Imaging Capabilities and Applications Globally

The landscape of three-dimensional imaging has experienced remarkable technological breakthroughs that have fundamentally altered its performance envelope and practical utility. Advances in time-of-flight sensing and structured light projection have enabled depth capture with submillimeter accuracy, while the maturation of complementary metal-oxide-semiconductor sensor fabrication has significantly lowered power consumption and cost. Concurrent progress in photogrammetry algorithms has further empowered software-driven depth estimation, allowing stereo and multi-view camera configurations to reconstruct complex geometries from standard camera modules. As a result, modern three-dimensional camera systems now deliver robust performance in challenging lighting conditions and dynamic environments, opening new frontiers in automation, robotics, and consumer devices.

Moreover, this period of significant innovation has fostered market convergence, where previously distinct technology domains blend to create comprehensive solutions. Three-dimensional cameras are increasingly integrated with artificial intelligence frameworks to enable real-time object recognition and predictive analytics, and they are playing a critical role in the evolution of augmented reality and virtual reality platforms. Through enhanced connectivity facilitated by high-speed networks, these imaging systems can offload intensive processing tasks to edge servers, enabling lightweight devices to deliver advanced spatial awareness capabilities. This synergy between hardware refinement and networked intelligence has given rise to scalable deployment models that cater to a diverse set of applications.

Furthermore, the convergence of three-dimensional imaging with adjacent technologies has stimulated a wave of cross-industry collaboration. From autonomous vehicle developers partnering with camera manufacturers to optimize perception stacks, to healthcare equipment providers embracing volumetric imaging for surgical guidance, the intersection of expertise is driving unprecedented value creation. Consequently, organizations that align their product roadmaps with these convergent trends are poised to secure a competitive advantage by delivering holistic solutions that leverage the full spectrum of three-dimensional imaging capabilities.

Beyond hardware enhancements, the integration of simultaneous localization and mapping algorithms within three-dimensional camera modules has extended their applicability to dynamic environments, particularly in autonomous systems and robotics. By continuously aligning depth data with external coordinate frames, these sensors enable machines to navigate complex terrains and perform intricate manipulations with minimal human intervention. Additionally, the convergence with next-generation communication protocols, such as 5G and edge computing architectures, allows for distributed processing of high-volume point cloud data, ensuring low-latency decision-making in mission-critical deployments.

Evaluating the Compounded Effects of Tariff Adjustments on Three-Dimensional Camera Value Chains and Supply Interdependencies in the United States

The implementation of revised tariff policies in the United States has introduced a layer of complexity for manufacturers and suppliers involved in three-dimensional camera production. With levies extending to an array of electronic components and imaging modules, companies have encountered increased input costs that reverberate throughout existing value chains. Amid these adjustments, stakeholders have been compelled to reassess procurement strategies, as sourcing from traditional offshore partners now carries a heightened financial burden. In response, many enterprises are actively exploring nearshore alternatives to mitigate exposure to import duties and to maintain supply continuity.

Moreover, the tariff landscape has prompted a reconfiguration of assembly and testing operations within domestic borders. Several organizations have initiated incremental investments in localized manufacturing environments to capitalize on duty exemptions and to strengthen resilience against external trade fluctuations. This shift has also fostered closer alignment between camera manufacturers and regional contract assemblers, enabling rapid iterations on product customization and faster turnaround times. Consequently, the industry is witnessing a gradual decentralization of production footprints, as well as an enhanced emphasis on end-to-end visibility in the supply network.

Furthermore, these policy changes have stimulated innovation in design-to-cost methodologies, driving engineering teams to identify alternative materials and to optimize component integration without compromising performance. As component vendors respond by adapting their portfolios to suit tariff-compliant specifications, the three-dimensional camera ecosystem is evolving toward modular architectures that facilitate easier substitution and upgrade pathways. Through these adjustments, companies can navigate the tariff-induced pressures while preserving technological leadership and safeguarding the agility required to meet diverse application demands.

In response to the shifting trade environment, several corporations have pursued proactive reclassification strategies, redesigning package assemblies to align with less restrictive tariff categories. This approach requires close coordination with customs authorities and professional compliance firms to validate technical documentation and component specifications. Simultaneously, free trade agreements and regional economic partnerships are being leveraged to secure duty exemptions and to facilitate cross-border logistics. Through this multifaceted adaptation, stakeholders can preserve product affordability while navigating evolving regulatory thresholds.

Revealing Market Diversity Through Product Typologies, Imaging Technologies, Deployment Models, Applications, Industries, and Sales Channels in Three-Dimensional Cameras

In dissecting the three-dimensional camera landscape, it is critical to recognize the varying product typologies that underpin system capabilities. Photogrammetry instruments harness multiple camera arrays to generate high-resolution spatial maps, while stereo vision configurations employ dual lenses to capture depth through parallax. Structured light assemblies project coded patterns onto targets to calculate surface geometry with fine precision, and time-of-flight units measure the round-trip duration of light pulses to deliver rapid distance measurements. Each platform presents unique strengths, whether in detail accuracy, speed, or cost efficiency, enabling tailored solutions for specific operational conditions.

Equally important is the choice of image sensing technology that drives signal fidelity and operational constraints. Charge coupled device sensors have long been valued for their high sensitivity and low noise characteristics, rendering them suitable for scenarios demanding superior image quality under low-light conditions. In contrast, complementary metal-oxide-semiconductor sensors have surged in popularity due to their faster readout speeds, lower power consumption, and seamless integration with embedded electronics. This dichotomy affords system designers the flexibility to balance performance requirements against form factor and energy considerations.

Deployment preferences further shape the three-dimensional camera ecosystem. Fixed installations are typically anchored within manufacturing lines, security checkpoints, or research laboratories, where stable mounting supports continuous scanning and automated workflows. Conversely, mobile implementations target robotics platforms, handheld scanners, or unmanned aerial systems, where compact design and ruggedization enable spatial data capture on the move. These deployment paradigms intersect with a wide array of applications, spanning three-dimensional mapping and modeling for infrastructure projects, gesture recognition for human-machine interfaces, healthcare imaging for patient diagnostics, quality inspection and industrial automation for process excellence, security and surveillance for threat detection, and immersive virtual and augmented reality experiences.

Finally, the end-use industries that drive consumption of three-dimensional cameras illustrate their broad market reach. Automotive engineers leverage depth sensing for advanced driver assistance systems and assembly verification, while consumer electronics firms integrate 3D modules into smartphones and gaming consoles to enrich user engagement. Healthcare providers adopt volumetric imaging to enhance surgical planning and diagnostics, and industrial manufacturers utilize depth analysis to streamline defect detection. Media and entertainment producers experiment with volumetric capture for lifelike content creation, and developers of advanced robotics and autonomous drones rely on spatial awareness to navigate complex environments. These industry demands are met through diverse distribution approaches, with traditional offline channels offering hands-on evaluation and rapid technical support, and online platforms providing streamlined procurement, extensive product information, and global accessibility.

These segmentation dimensions are not isolated; rather, they interact dynamically to shape solution roadmaps and go-to-market strategies. For example, the choice of a time-of-flight system for a mobile robotics application may dictate a complementary investment in complementary metal-oxide-semiconductor sensors to achieve the required power profile. Likewise, distribution channel preferences often correlate with end-use industry characteristics, as industrial clients favor direct sales and technical services while consumer segments gravitate toward e-commerce platforms. Understanding these interdependencies is crucial for effective portfolio management and user adoption.

Uncovering Geographical Nuances and Regional Adoption Patterns Across the Americas, Europe Middle East Africa, and Asia-Pacific in 3D Imaging Ecosystems

Within the Americas, the integration of three-dimensional imaging technologies has been driven primarily by the automotive sector's pursuit of advanced driver assistance capabilities and manufacturing precision. North American research institutions have forged partnerships with camera developers to refine depth sensing for autonomous navigation, while leading OEMs incorporate these modules into assembly lines to elevate quality assurance processes. Furthermore, the consumer electronics market in this region continues to explore novel applications in gaming, smartphone enhancements, and home automation devices, fostering a dynamic environment that supports early-stage experimentation and iterative product design.

Conversely, Europe, the Middle East, and Africa exhibit a diverse spectrum of adoption that spans industrial automation, security infrastructure, and architectural engineering. European manufacturing hubs emphasize structured light and photogrammetry solutions to optimize production workflows and ensure compliance with stringent quality benchmarks. In the Middle East, large-scale construction and urban planning projects leverage volumetric scanning for accurate 3D mapping and project monitoring, while security agencies across EMEA deploy depth cameras for perimeter surveillance and crowd analytics. The interplay of regulatory standards and regional priorities shapes a multifaceted market that demands adaptable system configurations and robust after-sales support.

Meanwhile, the Asia-Pacific region has emerged as a powerhouse for three-dimensional camera innovation and deployment. China's consumer electronics giants integrate depth-sensing modules into smartphones and robotics platforms, whereas Japanese and South Korean research labs advance sensor miniaturization and real-time processing capabilities. In Southeast Asia, healthcare providers increasingly adopt volumetric imaging for diagnostic applications, and manufacturing clusters in Taiwan and Malaysia utilize time-of-flight and structured light systems to enhance productivity. The confluence of high consumer demand, supportive government initiatives, and dense manufacturing ecosystems positions the Asia-Pacific region at the forefront of three-dimensional imaging evolution.

Regional regulations around data protection and privacy also play a critical role in three-dimensional camera deployments, particularly in Europe where stringent rules govern biometric and surveillance applications. Conversely, several Asia-Pacific governments have instituted grants and rebate programs to encourage the adoption of advanced inspection technologies in manufacturing clusters, thereby accelerating uptake. In the Americas, state-level economic development initiatives are supporting the establishment of imaging technology incubators, fostering small-business growth and technological entrepreneurship across emerging metropolitan areas.

Profiling Strategic Movements and Innovation Leadership of Leading Corporations Driving Frontiers in Three-Dimensional Camera Technology

Prominent technology companies have intensified their focus on delivering end-to-end three-dimensional imaging solutions that capitalize on proprietary sensor architectures and patented signal processing techniques. Several global manufacturers have expanded research and development centers to close collaboration gaps between optics engineers and software developers, thereby accelerating the introduction of higher resolution and faster frame rate models. At the same time, strategic partnerships between camera vendors and robotics integrators have facilitated the seamless deployment of depth cameras within automated guided vehicles and collaborative robot platforms.

In addition, certain leading firms have pursued vertical integration strategies, acquiring specialized component suppliers to secure supply chain stability and to optimize cost efficiencies. By consolidating design, production, and firmware development under a unified organizational umbrella, these companies can expedite product iterations and enhance cross-disciplinary knowledge sharing. Meanwhile, alliances with cloud-service providers and machine learning startups are yielding advanced analytics capabilities, enabling real-time point cloud processing and AI-driven feature extraction directly on edge devices.

Moreover, the competitive landscape is evolving as smaller innovators carve out niches around application-specific three-dimensional camera modules. These players often engage in open innovation models, providing developer kits and software development kits that cater to bespoke industrial scenarios. As a result, the ecosystem benefits from a blend of heavyweight research initiatives and agile niche offerings that collectively drive both technological diversification and market responsiveness. Looking ahead, enterprises that harness collaborative networks while maintaining a steadfast commitment to sensor refinement will likely set new benchmarks for accuracy, scalability, and user experience across three-dimensional imaging domains.

Innovation is also evident in product-specific advancements, such as the launch of ultra-wide field-of-view modules that enable panoramic depth scanning and devices that combine lidar elements with structured light for enhanced accuracy over extended ranges. Companies have showcased multi-camera arrays capable of capturing volumetric video at cinematic frame rates, opening possibilities for immersive film production and live event broadcasting. Collaborative ventures between academic research labs and industry players have further accelerated algorithmic breakthroughs in noise reduction and dynamic range extension.

Delivering Practical Strategic Imperatives and Optimized Operational Tactics to Propel Market Leadership and Sustainable Growth in the 3D Camera Sector

Industry leaders should prioritize investment in sensor miniaturization and power efficiency to develop broadly deployable three-dimensional camera modules that meet the needs of both mobile and fixed applications. By fostering dedicated research tracks for hybrid sensing approaches, organizations can unlock new performance thresholds that distinguish their offerings in a crowded competitive environment. Additionally, embracing modular design principles will enable faster customization cycles, allowing customers to tailor depth-sensing configurations to specialized use cases without incurring extensive development overhead.

In parallel, strategic collaboration with software and artificial intelligence providers can transform raw point cloud data into actionable insights, thereby elevating product value through integrated analytics and predictive maintenance functionalities. Establishing open application programming interfaces and developer resources will cultivate a vibrant ecosystem around proprietary hardware, encouraging third-party innovation and accelerating time-to-market for complementary solutions. Furthermore, companies should refine their supply chain networks by diversifying component sourcing and exploring regional manufacturing hubs to mitigate geopolitical uncertainties and tariff pressures.

Moreover, an unwavering focus on sustainability will resonate with environmentally conscious stakeholders and support long-term operational viability. Adopting eco-friendly materials, optimizing energy consumption, and implementing product end-of-life recycling programs will distinguish forward-thinking camera makers. Finally, fostering cross-functional talent through continuous training in optics, embedded systems, and data science will ensure that organizations possess the in-house expertise required to navigate emerging challenges and to seize untapped market opportunities within the three-dimensional imaging domain.

To ensure interoperability and to reduce integration friction, industry participants should advocate for the establishment of open standards and certification programs. Active engagement with consortia such as standards organizations will help harmonize interface protocols, simplifying the integration of three-dimensional cameras into heterogeneous hardware and software environments. Prioritizing security by implementing encryption at the sensor level and adhering to cybersecurity best practices will safeguard sensitive spatial data and reinforce stakeholder confidence.

Elucidating Rigorous Research Frameworks and Analytical Techniques Underpinning Comprehensive Investigation of Three-Dimensional Camera Market Dynamics

The foundation of this analysis rests upon a structured approach that integrates both primary and secondary research methodologies. Secondary investigation involved systematic review of technical journals, industry white papers, and patent registries to construct a robust baseline of technological capabilities, regulatory developments, and competitive trajectories. During this phase, thematic content was mapped across historical milestones and emerging innovations to identify prevailing trends and nascent opportunities within the three-dimensional imaging ecosystem.

Primary research further enriched our understanding by engaging directly with subject matter experts from camera manufacturers, system integrators, and end-use organizations. Through in-depth interviews and workshops, we explored real-world implementation challenges, operational priorities, and strategic objectives that underpin the adoption of depth-sensing solutions. Insights from these engagements were synthesized with quantitative data gathered from confidential surveys, enabling a holistic interpretation of market sentiment and technological readiness.

Analytical rigor was maintained through a process of data triangulation, wherein findings from disparate sources were cross-validated to ensure consistency and accuracy. Scenario analysis techniques were employed to examine the potential implications of policy shifts and technological disruptions, while sensitivity assessments highlighted critical variables affecting system performance and investment decisions. Consequently, the resulting narrative offers a credible, multifaceted perspective that equips decision-makers with actionable intelligence on the current state of, and future directions for, three-dimensional camera technologies.

Quantitative modeling was complemented by scenario planning exercises, which examined variables such as component lead times, alternative material availability, and shifts in end-user procurement cycles. Point cloud compression performance was evaluated against a range of encoding algorithms to ascertain optimal approaches for bandwidth-constrained environments. Finally, end-user feedback was solicited through targeted surveys to capture perceptual criteria related to image quality, latency tolerance, and usability preferences across different industry verticals.

Synthesizing Key Insights to Chart Future Trajectories and Strategic Pathways in the Evolving Three-Dimensional Imaging Technology Landscape

The confluence of refined sensor architectures, advanced computational methods, and shifting trade policies has created a uniquely dynamic environment for three-dimensional camera technologies. As system performance continues to improve, applications across industrial automation, healthcare, security, and immersive media are expanding in parallel, underscoring the multifaceted potential of depth sensing. Regional disparities in adoption patterns further illustrate the need for targeted deployment strategies, while the recent tariff adjustments have catalyzed a reevaluation of supply chain design and component sourcing.

Critical takeaways emphasize the importance of modular, scalable architectures that can adapt to evolving application demands and regulatory constraints. Companies that align their innovation pipelines with clear segmentation insights-spanning product typologies, sensing modalities, deployment approaches, and industry-specific use cases-will be well positioned to meet diverse customer requirements. Additionally, collaborative partnerships with software providers and end-users will amplify value propositions by transforming raw spatial data into actionable intelligence.

Looking forward, sustained investment in localized manufacturing capabilities, sustainable materials, and cross-disciplinary expertise will underpin long-term competitiveness. By leveraging rigorous research methodologies and embracing agile operational frameworks, organizations can anticipate emerging disruptions and capitalize on growth vectors. Ultimately, a strategic focus on integrated solutions, rather than standalone hardware, will define the next wave of leadership in three-dimensional imaging and unlock new dimensions of opportunity.

As the industry transitions into an era dominated by edge-AI and collaborative robotics, three-dimensional camera solutions will need to align with broader ecosystem frameworks that emphasize data interoperability and machine learning capabilities. Standardization efforts around unified data schemas and cross-vendor compatibility will accelerate deployment cycles and reduce total cost of ownership. Ultimately, organizations that blend hardware excellence with software-centric thinking and strategic alliances will define the next generation of three-dimensional imaging leadership.

Product Code: MRR-431E6020C666

1. Preface

1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Stakeholders

2. Research Methodology

2.1. Define: Research Objective
2.2. Determine: Research Design
2.3. Prepare: Research Instrument
2.4. Collect: Data Source
2.5. Analyze: Data Interpretation
2.6. Formulate: Data Verification
2.7. Publish: Research Report
2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

4.1. Introduction
4.2. Market Sizing & Forecasting

5. Market Dynamics

5.1. Advancements in depth sensing technology enhancing accuracy and resolution in 3D imaging
5.2. Growing use of 3d cameras in healthcare diagnostics and surgical assistance applications
5.3. Miniaturized multi-sensor fusion modules driving compact industrial 3D inspection camera adoption
5.4. Cloud-based photogrammetry platforms streamlining large-scale 3D asset generation for e-commerce vendors
5.5. Automotive lidar and time-of-flight camera convergence accelerating autonomous vehicle perception systems
5.6. Emerging applications driving demand for 3d cameras in autonomous vehicles and robotics
5.7. Integration of artificial intelligence with 3d cameras for improved object recognition and analysis
5.8. Increasing adoption of 3d cameras in augmented reality and virtual reality experiences
5.9. Impact of miniaturization and cost reduction on the proliferation of consumer 3d camera devices
5.10. Development of multispectral and hybrid 3d camera systems for enhanced data capture capabilities

6. Market Insights

6.1. Porter's Five Forces Analysis
6.2. PESTLE Analysis

7. Cumulative Impact of United States Tariffs 2025

8. 3D Camera Market, by Product Type

8.1. Introduction
8.2. Photogrammetry System
8.3. Stereo Vision System
8.4. Structured Light System
8.5. Time Of Flight System

9. 3D Camera Market, by Image Sensing Technology

9.1. Introduction
9.2. Charge Coupled Device Sensors
9.3. Complementary Metal-Oxide Semiconductor Sensors

10. 3D Camera Market, by Deployment

10.1. Introduction
10.2. Fixed
10.3. Mobile

11. 3D Camera Market, by Application

11.1. Introduction
11.2. 3D Mapping & Modeling
11.3. Gesture Recognition
11.4. Healthcare Imaging
11.5. Quality Inspection & Industrial Automation
11.6. Security & Surveillance
11.7. Virtual Reality (VR) & Augmented Reality (AR)

12. 3D Camera Market, by End-Use Industry

12.1. Introduction
12.2. Automotive
12.3. Consumer Electronics
12.4. Healthcare
12.5. Industrial Manufacturing
12.6. Media & Entertainment
12.7. Robotics & Drones

13. 3D Camera Market, by Distribution Channel

13.1. Introduction
13.2. Offline
13.3. Online

14. Americas 3D Camera Market

14.1. Introduction
14.2. United States
14.3. Canada
14.4. Mexico
14.5. Brazil
14.6. Argentina

15. Europe, Middle East & Africa 3D Camera Market

15.1. Introduction
15.2. United Kingdom
15.3. Germany
15.4. France
15.5. Russia
15.6. Italy
15.7. Spain
15.8. United Arab Emirates
15.9. Saudi Arabia
15.10. South Africa
15.11. Denmark
15.12. Netherlands
15.13. Qatar
15.14. Finland
15.15. Sweden
15.16. Nigeria
15.17. Egypt
15.18. Turkey
15.19. Israel
15.20. Norway
15.21. Poland
15.22. Switzerland

16. Asia-Pacific 3D Camera Market

16.1. Introduction
16.2. China
16.3. India
16.4. Japan
16.5. Australia
16.6. South Korea
16.7. Indonesia
16.8. Thailand
16.9. Philippines
16.10. Malaysia
16.11. Singapore
16.12. Vietnam
16.13. Taiwan

17. Competitive Landscape

17.1. Market Share Analysis, 2024
17.2. FPNV Positioning Matrix, 2024
17.3. Competitive Analysis
- 17.3.1. Basler AG
- 17.3.2. Beike Realsee Technology (HK) Limited
- 17.3.3. Sony Corporation
- 17.3.4. Canon, Inc.
- 17.3.5. Nikon Corporation
- 17.3.6. Panasonic Corporation
- 17.3.7. Samsung Electronics Co., Ltd.
- 17.3.8. Intel Corporation
- 17.3.9. Teledyne FLIR LLC
- 17.3.10. Hangzhou Hikvision Digital Technology Co., Ltd.
- 17.3.11. Cognex Corporation
- 17.3.12. Eastman Kodak Company
- 17.3.13. FARO Technologies, Inc.
- 17.3.14. GoPro, Inc.
- 17.3.15. Hewlett Packard Enterprise Development LP
- 17.3.16. Infineon Technologies AG
- 17.3.17. Leica Camera AG
- 17.3.18. LG Electronics, Inc.
- 17.3.19. Mantis Vision Ltd.
- 17.3.20. Matterport Inc.
- 17.3.21. Olympus Corporation
- 17.3.22. Phase One A/S
- 17.3.23. SICK AG
- 17.3.24. Structure Sensor
- 17.3.25. Toshiba Corporation
- 17.3.26. XYZprinting, Inc. by Nexa3D Inc.
- 17.3.27. ZEISS Group

18. ResearchAI

19. ResearchStatistics

20. ResearchContacts

21. ResearchArticles

22. Appendix