3D Checkpoint Scanning Technology Market by Mobility Type (Fixed, Portable), Deployment Location (Entry Checkpoints, Exit Screening), End User, Distribution Channel - Global Forecast 2025-2032
Description
The 3D Checkpoint Scanning Technology Market was valued at USD 2.00 billion in 2024 and is projected to grow to USD 2.37 billion in 2025, with a CAGR of 18.24%, reaching USD 7.67 billion by 2032.
A concise orientation to three-dimensional checkpoint scanning systems, their operational relevance, and their role in modern security and inspection programs
The adoption of three-dimensional checkpoint scanning is reshaping how security, customs, and industrial inspection teams approach threat detection and operational flow. These technologies-ranging from advanced 3D X ray imaging to computed tomography and millimeter wave systems-are increasingly integrated into checkpoints and screening corridors to enhance detection of complex threats, reduce false positives, and maintain throughput efficiency. As threat profiles evolve and regulatory expectations rise, organizations are seeking equipment that delivers both deep material discrimination and rapid, reliable processing without degrading the passenger and cargo experience.
This report synthesizes recent technological advances, policy drivers, and deployment patterns to provide a clear foundation for stakeholders evaluating new or replacement capabilities. The analysis emphasizes not just device-level performance but also systems engineering: how fixed and portable installations interoperate with entry and exit screening workflows, how distribution channels impact procurement timelines, and how end users-from airport authorities across cargo and passenger terminals to border security units operating on land and maritime borders and customs agencies at central and local levels-translate capability into operational outcomes. Through a structured review, readers will gain a pragmatic understanding of technology trade-offs, integration risks, and the organizational adaptations required to realize the full potential of 3D checkpoint scanning.
How sensor fusion, AI-driven analytics, and flexible deployment models are collectively redefining detection effectiveness and operational throughput in checkpoint environments
Several transformative shifts have converged to accelerate the adoption of 3D checkpoint scanning technologies. Advances in sensor fusion and computational reconstruction have significantly improved image resolution and material characterization, enabling better separation of benign from illicit objects and reducing manual intervention. In parallel, software-driven analytics and machine learning have matured to the point where automated alarms and threat triage can be trusted as part of operational decision-making, thereby freeing skilled operators to focus on complex exceptions and investigative follow-up.
Operational priorities have shifted as well. Security operators now demand systems that balance high throughput with minimal operational disruption, leading to an emphasis on deployment flexibility. Fixed installations deliver consistent performance in high-volume hubs, while portable units enable targeted deployments at transient checkpoints, remote ports, or surge operations. Supply chain dynamics and procurement pathways are also evolving, with offline and online distribution channels each influencing lead times, warranty management, and lifecycle support. Finally, regulatory landscapes and standards for passenger and cargo screening are tightening, prompting a move from single-modality screening toward integrated, multi-sensor solutions that can adapt to evolving threat vectors without requiring wholesale infrastructure replacement.
Practical implications of United States tariff changes through 2025 on procurement, supply chain resilience, and vendor sourcing strategies for checkpoint scanning equipment
Tariff policy and trade measures implemented by the United States through 2025 have created tangible effects across procurement cycles, vendor strategies, and total cost of ownership for checkpoint scanning equipment. Increased tariffs on certain electronic components and finished goods have prompted some suppliers to re-evaluate global sourcing, seeking alternative manufacturing locations or modular designs that reduce exposure to tariff bands. In some cases, this has accelerated nearshoring and diversification of component suppliers to preserve margin and delivery commitments.
For purchasers, tariffs have translated into extended procurement lead times, renegotiated contract terms, and a higher emphasis on lifecycle support agreements to protect value. Procurement teams are increasingly requiring supplier disclosures about origin, substitute components, and tariff mitigation strategies as part of bid evaluations. These dynamics also incentivize longer-term service contracts and local spare-parts inventories to insulate operations from future trade policy volatility. From a strategic perspective, organizations are prioritizing vendor partnerships that demonstrate supply chain transparency, flexible manufacturing footprints, and clear plans to minimize the operational impact of tariff-driven cost shifts.
Segment-specific insights that link product modalities, mobility and deployment choices, end-user priorities, and distribution dynamics to optimal selection and integration strategies
A nuanced segmentation framework helps decision-makers match technology to use case, operational constraints, and procurement channels. Product differentiation matters: 3D X Ray Scanner, Computed Tomography Scanner, and Millimeter Wave Scanner represent distinct capabilities and trade-offs, with the latter offering both Active and Passive variants that align to different detection envelopes and privacy expectations. Mobility choices-Fixed versus Portable-drive accommodation of infrastructure, ease of redeployment, and service requirements, influencing where systems are most effective within a security architecture. Deployment location is another critical discriminator; solutions optimized for entry checkpoints may differ in throughput and alerting behavior from those designed for exit screening, where behavioral cues and positive identification can present different operational priorities.
End users further shape solution selection and integration. Airport Authorities, covering both Cargo Terminals and Passenger Terminals, prioritize flow efficiency and regulatory compliance, while Border Security Forces operating across Land Border and Maritime Border contexts require robust durability and interoperability with other surveillance systems. Customs Agencies, whether Central Authority or Local Authority, focus on risk-based targeting and evidence quality for legal adjudication. Industrial Manufacturers across Aerospace, Automotive, and Electronics seek non-destructive inspection that meets production tolerances and defect-detection standards. Finally, how organizations acquire equipment through Offline or Online distribution channels affects warranty scope, lead time, and post-sale support, with procurement teams weighing total lifecycle implications rather than upfront unit cost alone.
How regional operational profiles, regulatory environments, and infrastructure priorities shape varied adoption pathways for three-dimensional checkpoint scanning across global geographies
Regional dynamics exert strong influence over technology adoption patterns, procurement preferences, and regulatory harmonization. In the Americas, large international airports and major cargo hubs push demand for high-throughput fixed installations and integrated CT-based scanners, while border crossings and secondary ports create niches for portable systems and ruggedized millimeter wave units. Policy emphasis on trade facilitation and counter-smuggling drives collaboration between customs agencies and border forces, shaping specifications around evidence preservation and chain-of-custody procedures.
Across Europe, Middle East & Africa, the landscape is highly heterogeneous, with advanced aviation markets favoring sophisticated imaging and automated analytics, while emerging nodes require cost-effective, rapidly deployable solutions. Regulatory frameworks and interoperability standards vary significantly, prompting suppliers to offer configurable systems and localized service models. In Asia-Pacific, rapid infrastructure expansion and high passenger growth in key hubs accelerate demand for scalable fixed solutions, while complex maritime supply chains and dense land borders create enduring requirements for portable and hybrid deployments. Suppliers and end users alike are adapting commercial models and product roadmaps to accommodate these regionally specific operational and regulatory imperatives.
Profiles of industry participants showing how modular hardware, analytics partnerships, lifecycle support, and supply chain transparency define competitive advantage in checkpoint scanning
Key companies in the sector are distinguished by complementary strengths in imaging hardware, algorithmic analytics, systems integration, and global service footprints. Leaders have invested in modular architectures that allow for sensor upgrades and algorithm tuning without full hardware replacement, lowering long-term operational risk and enhancing sustainment. Strategic partnerships between imaging specialists and analytics firms have become commonplace, enabling rapid deployment of machine-learning models that are validated against operational data and tailored to specific threat profiles.
Competitive differentiation also emerges through lifecycle support: companies that provide predictable maintenance schedules, guaranteed spare-part availability, and training programs for operator accreditation build stronger long-term relationships with airport authorities, border security forces, customs agencies, and industrial manufacturers. Distribution strategy matters as well; firms that balance direct sales, channel partnerships, and digital marketplaces succeed in addressing both large capital procurements and ad hoc, rapid-response requirements. Finally, transparency around supply chain provenance and component traceability has become a commercial expectation, and companies that can demonstrate resilient sourcing and tariff mitigation command greater trust from procurement teams.
Actionable implementation priorities for leaders to align procurement, integration, and sustainment practices with operational goals and risk management expectations
To convert capability into operational advantage, industry leaders should prioritize integration planning, data governance, and supplier accountability. Start by defining clear operational objectives that go beyond detection metrics to include throughput, operator workload, and evidence handling requirements. This framing allows technical teams and procurement to evaluate devices not only on sensor performance but on how they fit within broader security architectures and user workflows. Establishing robust data governance protocols is equally important; imaging systems generate sensitive information, so encryption, retention policies, and access controls must be defined before deployment to reduce legal and privacy risk while enabling effective analytics.
Supplier performance management must be contractualized: require transparency on component origin, lead times for critical spares, and defined service-level agreements for field support. Embrace modular technologies that permit sensor and software upgrades to future-proof investments, and plan pilot deployments across representative operational contexts-such as cargo terminals, passenger checkpoints, land border crossings, and maritime ports-to validate assumptions. Finally, invest in operator training and cross-organizational exercises that integrate detection systems with incident response procedures, ensuring that technical alerts translate into timely, coordinated action rather than operational ambiguity.
A rigorous, transparent research methodology that blends primary operational insights with technical validation and multi-source triangulation to ensure robust conclusions
The research approach combines qualitative interviews, technical performance literature, vendor documentation, and operational case studies to build a comprehensive view of three-dimensional checkpoint scanning. Primary inputs include structured interviews with security directors, customs officials, border force operators, and industrial inspection managers to capture first-hand experiences in varied deployment contexts. These qualitative insights are complemented by technical reviews of imaging modalities, algorithmic detection approaches, and integration patterns to evaluate how solutions perform against operational acceptance criteria.
Secondary inputs involve cross-referencing supplier specifications, regulatory guidance, standards bodies publications, and open-source incident reports to validate claims and identify common integration pitfalls. The methodology emphasizes traceability: assertions about technology behavior and deployment implications are tied to specific interview excerpts, technical whitepapers, or publicly available compliance documents. Triangulation across sources ensures balanced conclusions, and sensitivity checks are applied when assessing implications of trade policies or supply chain disruptions. Where applicable, illustrative case vignettes are used to highlight real-world outcomes without divulging confidential procurement details.
Synthesis of strategic considerations that connect technology capability, organizational preparedness, and supplier accountability to long-term operational resilience
Three-dimensional checkpoint scanning represents a strategic inflection point for organizations responsible for safeguarding people, cargo, and critical infrastructure. The convergence of advanced imaging, analytics, and flexible deployment options offers a pathway to more accurate detection, reduced false alarms, and improved operational throughput when systems are thoughtfully integrated into broader security ecosystems. Yet realizing these benefits requires attention to supply chain resilience, regulatory compliance, and human-centered deployment practices that prioritize usability and evidence integrity.
Moving forward, decision-makers should treat new acquisitions as system-level investments rather than line-item purchases, aligning procurement, operations, IT, and legal stakeholders from the outset. Vendors that demonstrate transparent sourcing, modular upgrade paths, and strong lifecycle support will be vital partners. Ultimately, organizations that combine clear operational objectives, disciplined governance, and iterative pilot testing will be best positioned to translate technology capability into sustained operational improvement and risk reduction.
Please Note: PDF & Excel + Online Access - 1 Year
A concise orientation to three-dimensional checkpoint scanning systems, their operational relevance, and their role in modern security and inspection programs
The adoption of three-dimensional checkpoint scanning is reshaping how security, customs, and industrial inspection teams approach threat detection and operational flow. These technologies-ranging from advanced 3D X ray imaging to computed tomography and millimeter wave systems-are increasingly integrated into checkpoints and screening corridors to enhance detection of complex threats, reduce false positives, and maintain throughput efficiency. As threat profiles evolve and regulatory expectations rise, organizations are seeking equipment that delivers both deep material discrimination and rapid, reliable processing without degrading the passenger and cargo experience.
This report synthesizes recent technological advances, policy drivers, and deployment patterns to provide a clear foundation for stakeholders evaluating new or replacement capabilities. The analysis emphasizes not just device-level performance but also systems engineering: how fixed and portable installations interoperate with entry and exit screening workflows, how distribution channels impact procurement timelines, and how end users-from airport authorities across cargo and passenger terminals to border security units operating on land and maritime borders and customs agencies at central and local levels-translate capability into operational outcomes. Through a structured review, readers will gain a pragmatic understanding of technology trade-offs, integration risks, and the organizational adaptations required to realize the full potential of 3D checkpoint scanning.
How sensor fusion, AI-driven analytics, and flexible deployment models are collectively redefining detection effectiveness and operational throughput in checkpoint environments
Several transformative shifts have converged to accelerate the adoption of 3D checkpoint scanning technologies. Advances in sensor fusion and computational reconstruction have significantly improved image resolution and material characterization, enabling better separation of benign from illicit objects and reducing manual intervention. In parallel, software-driven analytics and machine learning have matured to the point where automated alarms and threat triage can be trusted as part of operational decision-making, thereby freeing skilled operators to focus on complex exceptions and investigative follow-up.
Operational priorities have shifted as well. Security operators now demand systems that balance high throughput with minimal operational disruption, leading to an emphasis on deployment flexibility. Fixed installations deliver consistent performance in high-volume hubs, while portable units enable targeted deployments at transient checkpoints, remote ports, or surge operations. Supply chain dynamics and procurement pathways are also evolving, with offline and online distribution channels each influencing lead times, warranty management, and lifecycle support. Finally, regulatory landscapes and standards for passenger and cargo screening are tightening, prompting a move from single-modality screening toward integrated, multi-sensor solutions that can adapt to evolving threat vectors without requiring wholesale infrastructure replacement.
Practical implications of United States tariff changes through 2025 on procurement, supply chain resilience, and vendor sourcing strategies for checkpoint scanning equipment
Tariff policy and trade measures implemented by the United States through 2025 have created tangible effects across procurement cycles, vendor strategies, and total cost of ownership for checkpoint scanning equipment. Increased tariffs on certain electronic components and finished goods have prompted some suppliers to re-evaluate global sourcing, seeking alternative manufacturing locations or modular designs that reduce exposure to tariff bands. In some cases, this has accelerated nearshoring and diversification of component suppliers to preserve margin and delivery commitments.
For purchasers, tariffs have translated into extended procurement lead times, renegotiated contract terms, and a higher emphasis on lifecycle support agreements to protect value. Procurement teams are increasingly requiring supplier disclosures about origin, substitute components, and tariff mitigation strategies as part of bid evaluations. These dynamics also incentivize longer-term service contracts and local spare-parts inventories to insulate operations from future trade policy volatility. From a strategic perspective, organizations are prioritizing vendor partnerships that demonstrate supply chain transparency, flexible manufacturing footprints, and clear plans to minimize the operational impact of tariff-driven cost shifts.
Segment-specific insights that link product modalities, mobility and deployment choices, end-user priorities, and distribution dynamics to optimal selection and integration strategies
A nuanced segmentation framework helps decision-makers match technology to use case, operational constraints, and procurement channels. Product differentiation matters: 3D X Ray Scanner, Computed Tomography Scanner, and Millimeter Wave Scanner represent distinct capabilities and trade-offs, with the latter offering both Active and Passive variants that align to different detection envelopes and privacy expectations. Mobility choices-Fixed versus Portable-drive accommodation of infrastructure, ease of redeployment, and service requirements, influencing where systems are most effective within a security architecture. Deployment location is another critical discriminator; solutions optimized for entry checkpoints may differ in throughput and alerting behavior from those designed for exit screening, where behavioral cues and positive identification can present different operational priorities.
End users further shape solution selection and integration. Airport Authorities, covering both Cargo Terminals and Passenger Terminals, prioritize flow efficiency and regulatory compliance, while Border Security Forces operating across Land Border and Maritime Border contexts require robust durability and interoperability with other surveillance systems. Customs Agencies, whether Central Authority or Local Authority, focus on risk-based targeting and evidence quality for legal adjudication. Industrial Manufacturers across Aerospace, Automotive, and Electronics seek non-destructive inspection that meets production tolerances and defect-detection standards. Finally, how organizations acquire equipment through Offline or Online distribution channels affects warranty scope, lead time, and post-sale support, with procurement teams weighing total lifecycle implications rather than upfront unit cost alone.
How regional operational profiles, regulatory environments, and infrastructure priorities shape varied adoption pathways for three-dimensional checkpoint scanning across global geographies
Regional dynamics exert strong influence over technology adoption patterns, procurement preferences, and regulatory harmonization. In the Americas, large international airports and major cargo hubs push demand for high-throughput fixed installations and integrated CT-based scanners, while border crossings and secondary ports create niches for portable systems and ruggedized millimeter wave units. Policy emphasis on trade facilitation and counter-smuggling drives collaboration between customs agencies and border forces, shaping specifications around evidence preservation and chain-of-custody procedures.
Across Europe, Middle East & Africa, the landscape is highly heterogeneous, with advanced aviation markets favoring sophisticated imaging and automated analytics, while emerging nodes require cost-effective, rapidly deployable solutions. Regulatory frameworks and interoperability standards vary significantly, prompting suppliers to offer configurable systems and localized service models. In Asia-Pacific, rapid infrastructure expansion and high passenger growth in key hubs accelerate demand for scalable fixed solutions, while complex maritime supply chains and dense land borders create enduring requirements for portable and hybrid deployments. Suppliers and end users alike are adapting commercial models and product roadmaps to accommodate these regionally specific operational and regulatory imperatives.
Profiles of industry participants showing how modular hardware, analytics partnerships, lifecycle support, and supply chain transparency define competitive advantage in checkpoint scanning
Key companies in the sector are distinguished by complementary strengths in imaging hardware, algorithmic analytics, systems integration, and global service footprints. Leaders have invested in modular architectures that allow for sensor upgrades and algorithm tuning without full hardware replacement, lowering long-term operational risk and enhancing sustainment. Strategic partnerships between imaging specialists and analytics firms have become commonplace, enabling rapid deployment of machine-learning models that are validated against operational data and tailored to specific threat profiles.
Competitive differentiation also emerges through lifecycle support: companies that provide predictable maintenance schedules, guaranteed spare-part availability, and training programs for operator accreditation build stronger long-term relationships with airport authorities, border security forces, customs agencies, and industrial manufacturers. Distribution strategy matters as well; firms that balance direct sales, channel partnerships, and digital marketplaces succeed in addressing both large capital procurements and ad hoc, rapid-response requirements. Finally, transparency around supply chain provenance and component traceability has become a commercial expectation, and companies that can demonstrate resilient sourcing and tariff mitigation command greater trust from procurement teams.
Actionable implementation priorities for leaders to align procurement, integration, and sustainment practices with operational goals and risk management expectations
To convert capability into operational advantage, industry leaders should prioritize integration planning, data governance, and supplier accountability. Start by defining clear operational objectives that go beyond detection metrics to include throughput, operator workload, and evidence handling requirements. This framing allows technical teams and procurement to evaluate devices not only on sensor performance but on how they fit within broader security architectures and user workflows. Establishing robust data governance protocols is equally important; imaging systems generate sensitive information, so encryption, retention policies, and access controls must be defined before deployment to reduce legal and privacy risk while enabling effective analytics.
Supplier performance management must be contractualized: require transparency on component origin, lead times for critical spares, and defined service-level agreements for field support. Embrace modular technologies that permit sensor and software upgrades to future-proof investments, and plan pilot deployments across representative operational contexts-such as cargo terminals, passenger checkpoints, land border crossings, and maritime ports-to validate assumptions. Finally, invest in operator training and cross-organizational exercises that integrate detection systems with incident response procedures, ensuring that technical alerts translate into timely, coordinated action rather than operational ambiguity.
A rigorous, transparent research methodology that blends primary operational insights with technical validation and multi-source triangulation to ensure robust conclusions
The research approach combines qualitative interviews, technical performance literature, vendor documentation, and operational case studies to build a comprehensive view of three-dimensional checkpoint scanning. Primary inputs include structured interviews with security directors, customs officials, border force operators, and industrial inspection managers to capture first-hand experiences in varied deployment contexts. These qualitative insights are complemented by technical reviews of imaging modalities, algorithmic detection approaches, and integration patterns to evaluate how solutions perform against operational acceptance criteria.
Secondary inputs involve cross-referencing supplier specifications, regulatory guidance, standards bodies publications, and open-source incident reports to validate claims and identify common integration pitfalls. The methodology emphasizes traceability: assertions about technology behavior and deployment implications are tied to specific interview excerpts, technical whitepapers, or publicly available compliance documents. Triangulation across sources ensures balanced conclusions, and sensitivity checks are applied when assessing implications of trade policies or supply chain disruptions. Where applicable, illustrative case vignettes are used to highlight real-world outcomes without divulging confidential procurement details.
Synthesis of strategic considerations that connect technology capability, organizational preparedness, and supplier accountability to long-term operational resilience
Three-dimensional checkpoint scanning represents a strategic inflection point for organizations responsible for safeguarding people, cargo, and critical infrastructure. The convergence of advanced imaging, analytics, and flexible deployment options offers a pathway to more accurate detection, reduced false alarms, and improved operational throughput when systems are thoughtfully integrated into broader security ecosystems. Yet realizing these benefits requires attention to supply chain resilience, regulatory compliance, and human-centered deployment practices that prioritize usability and evidence integrity.
Moving forward, decision-makers should treat new acquisitions as system-level investments rather than line-item purchases, aligning procurement, operations, IT, and legal stakeholders from the outset. Vendors that demonstrate transparent sourcing, modular upgrade paths, and strong lifecycle support will be vital partners. Ultimately, organizations that combine clear operational objectives, disciplined governance, and iterative pilot testing will be best positioned to translate technology capability into sustained operational improvement and risk reduction.
Please Note: PDF & Excel + Online Access - 1 Year
Table of Contents
188 Pages
- 1. Preface
- 1.1. Objectives of the Study
- 1.2. Market Segmentation & Coverage
- 1.3. Years Considered for the Study
- 1.4. Currency
- 1.5. Language
- 1.6. Stakeholders
- 2. Research Methodology
- 3. Executive Summary
- 4. Market Overview
- 5. Market Insights
- 5.1. Integration of AI-driven anomaly detection into 3D checkpoint scanners for enhanced threat recognition
- 5.2. Adoption of multi-energy 3D X-ray scanners for improved material discrimination in baggage analysis
- 5.3. Deployment of portable 3D computed tomography scanners for rapid field screening at remote checkpoints
- 5.4. Implementation of GDPR-compliant data encryption and privacy protocols in 3D checkpoint imaging systems
- 5.5. Integration of 5G connectivity to enable real-time cloud-based processing of 3D security scans
- 5.6. Development of hybrid 3D millimeter-wave and X-ray scanning solutions for comprehensive threat detection
- 5.7. Use of digital twin technology to simulate and optimize checkpoint layout based on 3D scan data analysis
- 6. Cumulative Impact of United States Tariffs 2025
- 7. Cumulative Impact of Artificial Intelligence 2025
- 8. 3D Checkpoint Scanning Technology Market, by Mobility Type
- 8.1. Fixed
- 8.2. Portable
- 9. 3D Checkpoint Scanning Technology Market, by Deployment Location
- 9.1. Entry Checkpoints
- 9.2. Exit Screening
- 10. 3D Checkpoint Scanning Technology Market, by End User
- 10.1. Airport Authorities
- 10.1.1. Cargo Terminals
- 10.1.2. Passenger Terminals
- 10.2. Border Security Forces
- 10.2.1. Land Border
- 10.2.2. Maritime Border
- 10.3. Customs Agencies
- 10.3.1. Central Authority
- 10.3.2. Local Authority
- 10.4. Industrial Manufacturers
- 10.4.1. Aerospace
- 10.4.2. Automotive
- 10.4.3. Electronics
- 11. 3D Checkpoint Scanning Technology Market, by Distribution Channel
- 11.1. Offline
- 11.2. Online
- 12. 3D Checkpoint Scanning Technology Market, by Region
- 12.1. Americas
- 12.1.1. North America
- 12.1.2. Latin America
- 12.2. Europe, Middle East & Africa
- 12.2.1. Europe
- 12.2.2. Middle East
- 12.2.3. Africa
- 12.3. Asia-Pacific
- 13. 3D Checkpoint Scanning Technology Market, by Group
- 13.1. ASEAN
- 13.2. GCC
- 13.3. European Union
- 13.4. BRICS
- 13.5. G7
- 13.6. NATO
- 14. 3D Checkpoint Scanning Technology Market, by Country
- 14.1. United States
- 14.2. Canada
- 14.3. Mexico
- 14.4. Brazil
- 14.5. United Kingdom
- 14.6. Germany
- 14.7. France
- 14.8. Russia
- 14.9. Italy
- 14.10. Spain
- 14.11. China
- 14.12. India
- 14.13. Japan
- 14.14. Australia
- 14.15. South Korea
- 15. Competitive Landscape
- 15.1. Market Share Analysis, 2024
- 15.2. FPNV Positioning Matrix, 2024
- 15.3. Competitive Analysis
- 15.3.1. Analogic Corporation
- 15.3.2. Artec 3D S.A.
- 15.3.3. Astrophysics, Inc.
- 15.3.4. Autoclear LLC
- 15.3.5. Carl Zeiss Industrielle Messtechnik GmbH
- 15.3.6. CEIA S.p.A.
- 15.3.7. Faro Technologies, Inc.
- 15.3.8. Gilardoni S.p.A.
- 15.3.9. Gujar Industries India Private Limited
- 15.3.10. Hexagon AB
- 15.3.11. Kapri Corp Private Limited
- 15.3.12. L3Harris Technologies, Inc.
- 15.3.13. Leidos Holdings, Inc.
- 15.3.14. Nuctech Company Limited
- 15.3.15. OSI Systems, Inc.
- 15.3.16. Safeagle Technology Co., Ltd.
- 15.3.17. Shining 3D Tech Co., Ltd.
- 15.3.18. Smiths Detection Group Ltd.
- 15.3.19. Thales S.A.
- 15.3.20. Trimble Inc.
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