GigE Camera Market by Sensor Type (CCD, CMOS), Resolution (1 To 5 Mp, 5 To 10 Mp, Above 10 Mp), Frame Rate, Product Type, End User, Application - Global Forecast 2025-2032
Description
The GigE Camera Market was valued at USD 2.26 billion in 2024 and is projected to grow to USD 2.50 billion in 2025, with a CAGR of 10.30%, reaching USD 4.96 billion by 2032.
A strategic orientation to GigE camera fundamentals explaining how networking standards, sensor choices, and integration priorities are reshaping imaging deployments
The Gigabit Ethernet (GigE) camera has matured from a niche industrial imaging solution into a foundational technology for modern automated inspection, robotics, and surveillance systems. Today’s GigE platforms combine high-throughput network transport with standardized interfaces, enabling reliable multi-camera deployments across factory floors, research facilities, and critical infrastructure. These systems deliver predictable latency, power-over-Ethernet convenience, and simplified cabling compared with legacy interfaces, which reduces integration overhead and accelerates time-to-deployment.
As adoption widens, buyers are prioritizing interoperability, ease of integration, and robust network management capabilities. Engineers and system integrators increasingly select cameras that adhere to established standards, support firmware update paths, and offer flexible sensor choices to match optical and processing requirements. This introduction frames the broader analysis by identifying the technological building blocks, common integration challenges, and the operational benefits organizations seek when transitioning to GigE-based imaging architectures.
How sensor innovation, embedded vision compute, and network evolution are creating a new era of integrated GigE camera solutions for industrial and commercial use
The landscape for GigE cameras is shifting under the influence of several convergent forces that are reshaping both technical roadmaps and commercial strategies. Advances in CMOS sensor design are narrowing the historical performance gap with CCDs, while innovations in global shutter architectures enable higher-fidelity capture of fast motion without the artifacts associated with rolling shutter sensors. Concurrently, the proliferation of machine learning and embedded vision accelerators at the edge is changing the delineation between camera hardware and downstream compute, prompting vendors to rethink firmware, driver stacks, and processing offload capabilities.
Network-level trends are equally consequential: higher link speeds and improved switch technologies allow for consolidated Ethernet-based ecosystems that can support multi-camera systems, synchronized triggering, and centralized data management. Supply chain diversification, modular optics, and software-defined imaging features are fostering new vendor partnerships and integrated solutions. Taken together, these transformative shifts create opportunities for tighter integration of imaging hardware with analytics, for more flexible deployment models across industrial and commercial settings, and for differentiated product strategies that emphasize total system value rather than component specifications alone.
Evaluating the cumulative operational and supply-chain implications of United States tariff actions through 2025 and how they are reshaping procurement and production strategies
Recent tariff measures implemented by the United States through 2025 have introduced additional cost considerations and strategic complexity for manufacturers, integrators, and distributors operating within global GigE camera supply chains. Tariff-induced increases in component and finished-goods import costs have encouraged many stakeholders to reassess sourcing geographies, to accelerate qualification of alternative suppliers, and to hold higher levels of critical component inventory to buffer against episodic cost and lead-time volatility. These responses have shifted negotiation dynamics between OEMs and contract manufacturers and have placed greater emphasis on supplier resilience when evaluating total procurement risk.
In parallel, tariffs have incentivized regionalization of certain production activities, including final assembly, optics integration, and firmware localization, to mitigate duties and to ensure continuity of supply for strategic customers. Systems integrators and end users have adjusted procurement windows and contract terms to manage price visibility and to preserve deployment schedules for inspection, robotics, and surveillance applications. While these adaptations help reduce short-term exposure, they also underscore the strategic value of flexible supply-chain architectures, diversified component sourcing, and closer collaboration across the value chain to maintain competitiveness under sustained trade policy uncertainty.
Comprehensive segmentation insights showing how end-user verticals, application requirements, sensor subtypes, resolution and frame-rate tiers, and product families dictate product design and integration strategies
Segment-level dynamics reveal differentiated demand drivers and technical priorities across end uses, applications, sensor technologies, resolution and frame-rate tiers, and product families. End users such as automotive manufacturers prioritize deterministic capture for assembly verification and robotic guidance, while electronics producers and semiconductor fabs focus tightly on high-resolution line-scan and area-scan imaging for defect detection and process control. Medical and research customers emphasize sensor fidelity and regulatory traceability, and food processing, packaging, and logistics stakeholders seek robust, easy-to-integrate systems for barcode reading, inspection, and throughput assurance.
Application-driven choices span barcode reading, inspection, machine vision, robotics, and surveillance, each imposing distinct demands on exposure control, synchronization, and onboard preprocessing. On the sensor front, CCD architectures remain relevant where high dynamic range and low-noise characteristics are paramount, with CCD variants such as frame transfer and interline transfer serving specialized use cases; CMOS sensors dominate broader adoption with subvariants including global shutter and rolling shutter meeting different trade-offs between motion fidelity and pixel-level performance. Resolution segmentation ranges from below 1 MP through 1 to 5 MP, 5 to 10 MP, and above 10 MP, with selection governed by field of view and defect size. Frame-rate tiers-below 30 fps, 30 to 60 fps, 60 to 120 fps, and above 120 fps-drive sensor and interface design decisions depending on conveyor speeds, robot motion, and analysis latency. Product-type distinctions between 3D cameras, area-scan, and line-scan systems further shape optical design, triggering strategies, and integration pathways. When combined, these segmentation vectors define distinct product profiles and purchasing rationales that manufacturers and integrators must address through targeted feature sets, firmware support, and application-focused validation.
Regional demand and deployment patterns that reveal distinct commercial priorities and go-to-market approaches across the Americas, Europe Middle East & Africa, and Asia-Pacific territories
Regional dynamics are shaping demand patterns and deployment priorities in distinctive ways across the Americas, Europe, Middle East & Africa, and Asia-Pacific. In the Americas, investment in automation and logistics modernization is driving demand for integrated imaging solutions that can be quickly deployed across distributed facilities, supported by local integrators and service networks. In Europe, Middle East & Africa, regulatory expectations around safety, standardized interfaces, and incremental automation in automotive and packaging industries elevate demand for certified, interoperable camera systems with long-term maintenance pathways.
Asia-Pacific remains the focal point for volume manufacturing and rapid innovation cycles, with a dense ecosystem of sensor suppliers, optics houses, and contract manufacturers enabling fast prototyping and aggressive cost-performance trade-offs. Each region exhibits distinct trade-offs between price sensitivity, technical expectations, and aftermarket support needs, which encourages suppliers to craft regionally adaptive go-to-market approaches, local partnerships, and service models that reflect these differences while preserving global product commonality where feasible.
Competitive landscape analysis highlighting how heritage imaging vendors, sensor-upstream entrants, and integrators are positioning around reliability, software ecosystems, and service differentiation
Competitive dynamics in the GigE camera space reflect a mix of legacy imaging specialists, sensor manufacturers extending upstream into camera modules, and a growing number of systems integrators bundling hardware with vision analytics. Established machine vision vendors compete on proven reliability, robust software ecosystems, and deep application expertise, while newer entrants differentiate through aggressive CMOS sensor adoption, lower-cost optics integration, or specialized firmware for embedded inferencing. Partnerships between camera vendors and software providers are increasingly important, as customers value turnkey solutions that reduce integration risk and shorten deployment timelines.
Strategic product moves include expanding firmware and SDK support for popular operating systems and frameworks, providing prevalidated reference designs for common industrial applications, and offering modular hardware platforms that facilitate scalability across resolution, frame rate, and sensor type. Companies that invest in field services, regional training, and rapid spare-parts logistics often capture higher-value enterprise customers who require predictable uptime and consistent performance across multi-site installations. Overall, competitive advantage accrues to firms that combine technical credibility with demonstrable application success and strong aftermarket capabilities.
Practical and actionable recommendations for vendors and integrators to strengthen supply-chain resilience, product interoperability, and customer adoption pathways in GigE camera deployments
Industry leaders should prioritize supply-chain resilience, standards-based interoperability, and closer alignment of hardware roadmaps with embedded analytics requirements to maintain competitive advantage. Investing in flexible manufacturing arrangements and multi-sourcing strategies can mitigate tariff-driven cost volatility and component lead-time disruptions, while establishing local assembly or regional fulfillment nodes can preserve price competitiveness and improve service responsiveness. Vendors should also accelerate support for global shutter CMOS options and optimized firmware to meet the increasing need for motion-accurate capture in robotics and high-speed inspection.
From a go-to-market perspective, firms will benefit from packaging hardware with validated software stacks and offering certified integrations for common automation platforms to reduce integration friction for end users. Providing robust developer resources, reference designs, and application-specific validation reports will shorten evaluation cycles and help procurement teams justify adoption. Finally, cultivating channel partnerships and field service networks will enhance customer confidence and create recurring revenue streams through maintenance, upgrades, and training services.
A rigorous mixed-method research methodology combining primary practitioner interviews, hands-on validation, and secondary technical analysis to ensure actionable and verifiable insights
The research approach synthesizes primary engagement with industry practitioners and secondary analysis of technical literature, standards documentation, and observable product roadmaps. Primary research includes structured interviews with systems integrators, OEM engineers, procurement leads, and technical product managers, supplemented by field visits to integration labs and demonstration sites to validate performance claims and deployment workflows. Secondary inputs comprise vendor specifications, white papers, and conference proceedings that illuminate architectural patterns, sensor innovations, and networking developments.
Data triangulation techniques reconcile disparate sources to surface consistent insights and to identify outliers requiring follow-up inquiry. Validation steps include cross-referencing technical specifications with hands-on evaluation notes, confirming deployment anecdotes with multiple end users in targeted verticals, and stress-testing assumptions about adoption drivers through scenario analysis. This layered methodology ensures robust, application-focused findings that reflect operational realities and strategic trade-offs facing buyers and suppliers in the GigE camera ecosystem.
Concluding synthesis that integrates technological progress, policy-driven supply-chain shifts, and the essential strategic imperatives for succeeding with GigE camera solutions
In summary, GigE camera technology sits at the intersection of networked transport, advanced sensor design, and application-driven systems integration. The cumulative effect of sensor innovation, edge compute maturation, and network capability enhancements is to expand the feasible use cases for GigE architectures while raising expectations for interoperability, manageability, and total system value. Trade policy dynamics, including tariff activity through 2025, have introduced operational complexity that favors firms with adaptive supply chains and regional execution capabilities.
Going forward, success in this domain will depend on aligning product roadmaps with real-world application needs, simplifying integration through standards adherence and software support, and investing in service and logistics capabilities that reduce deployment risk. Organizations that combine technical robustness with pragmatic commercial models will be best positioned to capture opportunities across inspection, robotics, surveillance, and other industrial imaging applications.
Note: PDF & Excel + Online Access - 1 Year
A strategic orientation to GigE camera fundamentals explaining how networking standards, sensor choices, and integration priorities are reshaping imaging deployments
The Gigabit Ethernet (GigE) camera has matured from a niche industrial imaging solution into a foundational technology for modern automated inspection, robotics, and surveillance systems. Today’s GigE platforms combine high-throughput network transport with standardized interfaces, enabling reliable multi-camera deployments across factory floors, research facilities, and critical infrastructure. These systems deliver predictable latency, power-over-Ethernet convenience, and simplified cabling compared with legacy interfaces, which reduces integration overhead and accelerates time-to-deployment.
As adoption widens, buyers are prioritizing interoperability, ease of integration, and robust network management capabilities. Engineers and system integrators increasingly select cameras that adhere to established standards, support firmware update paths, and offer flexible sensor choices to match optical and processing requirements. This introduction frames the broader analysis by identifying the technological building blocks, common integration challenges, and the operational benefits organizations seek when transitioning to GigE-based imaging architectures.
How sensor innovation, embedded vision compute, and network evolution are creating a new era of integrated GigE camera solutions for industrial and commercial use
The landscape for GigE cameras is shifting under the influence of several convergent forces that are reshaping both technical roadmaps and commercial strategies. Advances in CMOS sensor design are narrowing the historical performance gap with CCDs, while innovations in global shutter architectures enable higher-fidelity capture of fast motion without the artifacts associated with rolling shutter sensors. Concurrently, the proliferation of machine learning and embedded vision accelerators at the edge is changing the delineation between camera hardware and downstream compute, prompting vendors to rethink firmware, driver stacks, and processing offload capabilities.
Network-level trends are equally consequential: higher link speeds and improved switch technologies allow for consolidated Ethernet-based ecosystems that can support multi-camera systems, synchronized triggering, and centralized data management. Supply chain diversification, modular optics, and software-defined imaging features are fostering new vendor partnerships and integrated solutions. Taken together, these transformative shifts create opportunities for tighter integration of imaging hardware with analytics, for more flexible deployment models across industrial and commercial settings, and for differentiated product strategies that emphasize total system value rather than component specifications alone.
Evaluating the cumulative operational and supply-chain implications of United States tariff actions through 2025 and how they are reshaping procurement and production strategies
Recent tariff measures implemented by the United States through 2025 have introduced additional cost considerations and strategic complexity for manufacturers, integrators, and distributors operating within global GigE camera supply chains. Tariff-induced increases in component and finished-goods import costs have encouraged many stakeholders to reassess sourcing geographies, to accelerate qualification of alternative suppliers, and to hold higher levels of critical component inventory to buffer against episodic cost and lead-time volatility. These responses have shifted negotiation dynamics between OEMs and contract manufacturers and have placed greater emphasis on supplier resilience when evaluating total procurement risk.
In parallel, tariffs have incentivized regionalization of certain production activities, including final assembly, optics integration, and firmware localization, to mitigate duties and to ensure continuity of supply for strategic customers. Systems integrators and end users have adjusted procurement windows and contract terms to manage price visibility and to preserve deployment schedules for inspection, robotics, and surveillance applications. While these adaptations help reduce short-term exposure, they also underscore the strategic value of flexible supply-chain architectures, diversified component sourcing, and closer collaboration across the value chain to maintain competitiveness under sustained trade policy uncertainty.
Comprehensive segmentation insights showing how end-user verticals, application requirements, sensor subtypes, resolution and frame-rate tiers, and product families dictate product design and integration strategies
Segment-level dynamics reveal differentiated demand drivers and technical priorities across end uses, applications, sensor technologies, resolution and frame-rate tiers, and product families. End users such as automotive manufacturers prioritize deterministic capture for assembly verification and robotic guidance, while electronics producers and semiconductor fabs focus tightly on high-resolution line-scan and area-scan imaging for defect detection and process control. Medical and research customers emphasize sensor fidelity and regulatory traceability, and food processing, packaging, and logistics stakeholders seek robust, easy-to-integrate systems for barcode reading, inspection, and throughput assurance.
Application-driven choices span barcode reading, inspection, machine vision, robotics, and surveillance, each imposing distinct demands on exposure control, synchronization, and onboard preprocessing. On the sensor front, CCD architectures remain relevant where high dynamic range and low-noise characteristics are paramount, with CCD variants such as frame transfer and interline transfer serving specialized use cases; CMOS sensors dominate broader adoption with subvariants including global shutter and rolling shutter meeting different trade-offs between motion fidelity and pixel-level performance. Resolution segmentation ranges from below 1 MP through 1 to 5 MP, 5 to 10 MP, and above 10 MP, with selection governed by field of view and defect size. Frame-rate tiers-below 30 fps, 30 to 60 fps, 60 to 120 fps, and above 120 fps-drive sensor and interface design decisions depending on conveyor speeds, robot motion, and analysis latency. Product-type distinctions between 3D cameras, area-scan, and line-scan systems further shape optical design, triggering strategies, and integration pathways. When combined, these segmentation vectors define distinct product profiles and purchasing rationales that manufacturers and integrators must address through targeted feature sets, firmware support, and application-focused validation.
Regional demand and deployment patterns that reveal distinct commercial priorities and go-to-market approaches across the Americas, Europe Middle East & Africa, and Asia-Pacific territories
Regional dynamics are shaping demand patterns and deployment priorities in distinctive ways across the Americas, Europe, Middle East & Africa, and Asia-Pacific. In the Americas, investment in automation and logistics modernization is driving demand for integrated imaging solutions that can be quickly deployed across distributed facilities, supported by local integrators and service networks. In Europe, Middle East & Africa, regulatory expectations around safety, standardized interfaces, and incremental automation in automotive and packaging industries elevate demand for certified, interoperable camera systems with long-term maintenance pathways.
Asia-Pacific remains the focal point for volume manufacturing and rapid innovation cycles, with a dense ecosystem of sensor suppliers, optics houses, and contract manufacturers enabling fast prototyping and aggressive cost-performance trade-offs. Each region exhibits distinct trade-offs between price sensitivity, technical expectations, and aftermarket support needs, which encourages suppliers to craft regionally adaptive go-to-market approaches, local partnerships, and service models that reflect these differences while preserving global product commonality where feasible.
Competitive landscape analysis highlighting how heritage imaging vendors, sensor-upstream entrants, and integrators are positioning around reliability, software ecosystems, and service differentiation
Competitive dynamics in the GigE camera space reflect a mix of legacy imaging specialists, sensor manufacturers extending upstream into camera modules, and a growing number of systems integrators bundling hardware with vision analytics. Established machine vision vendors compete on proven reliability, robust software ecosystems, and deep application expertise, while newer entrants differentiate through aggressive CMOS sensor adoption, lower-cost optics integration, or specialized firmware for embedded inferencing. Partnerships between camera vendors and software providers are increasingly important, as customers value turnkey solutions that reduce integration risk and shorten deployment timelines.
Strategic product moves include expanding firmware and SDK support for popular operating systems and frameworks, providing prevalidated reference designs for common industrial applications, and offering modular hardware platforms that facilitate scalability across resolution, frame rate, and sensor type. Companies that invest in field services, regional training, and rapid spare-parts logistics often capture higher-value enterprise customers who require predictable uptime and consistent performance across multi-site installations. Overall, competitive advantage accrues to firms that combine technical credibility with demonstrable application success and strong aftermarket capabilities.
Practical and actionable recommendations for vendors and integrators to strengthen supply-chain resilience, product interoperability, and customer adoption pathways in GigE camera deployments
Industry leaders should prioritize supply-chain resilience, standards-based interoperability, and closer alignment of hardware roadmaps with embedded analytics requirements to maintain competitive advantage. Investing in flexible manufacturing arrangements and multi-sourcing strategies can mitigate tariff-driven cost volatility and component lead-time disruptions, while establishing local assembly or regional fulfillment nodes can preserve price competitiveness and improve service responsiveness. Vendors should also accelerate support for global shutter CMOS options and optimized firmware to meet the increasing need for motion-accurate capture in robotics and high-speed inspection.
From a go-to-market perspective, firms will benefit from packaging hardware with validated software stacks and offering certified integrations for common automation platforms to reduce integration friction for end users. Providing robust developer resources, reference designs, and application-specific validation reports will shorten evaluation cycles and help procurement teams justify adoption. Finally, cultivating channel partnerships and field service networks will enhance customer confidence and create recurring revenue streams through maintenance, upgrades, and training services.
A rigorous mixed-method research methodology combining primary practitioner interviews, hands-on validation, and secondary technical analysis to ensure actionable and verifiable insights
The research approach synthesizes primary engagement with industry practitioners and secondary analysis of technical literature, standards documentation, and observable product roadmaps. Primary research includes structured interviews with systems integrators, OEM engineers, procurement leads, and technical product managers, supplemented by field visits to integration labs and demonstration sites to validate performance claims and deployment workflows. Secondary inputs comprise vendor specifications, white papers, and conference proceedings that illuminate architectural patterns, sensor innovations, and networking developments.
Data triangulation techniques reconcile disparate sources to surface consistent insights and to identify outliers requiring follow-up inquiry. Validation steps include cross-referencing technical specifications with hands-on evaluation notes, confirming deployment anecdotes with multiple end users in targeted verticals, and stress-testing assumptions about adoption drivers through scenario analysis. This layered methodology ensures robust, application-focused findings that reflect operational realities and strategic trade-offs facing buyers and suppliers in the GigE camera ecosystem.
Concluding synthesis that integrates technological progress, policy-driven supply-chain shifts, and the essential strategic imperatives for succeeding with GigE camera solutions
In summary, GigE camera technology sits at the intersection of networked transport, advanced sensor design, and application-driven systems integration. The cumulative effect of sensor innovation, edge compute maturation, and network capability enhancements is to expand the feasible use cases for GigE architectures while raising expectations for interoperability, manageability, and total system value. Trade policy dynamics, including tariff activity through 2025, have introduced operational complexity that favors firms with adaptive supply chains and regional execution capabilities.
Going forward, success in this domain will depend on aligning product roadmaps with real-world application needs, simplifying integration through standards adherence and software support, and investing in service and logistics capabilities that reduce deployment risk. Organizations that combine technical robustness with pragmatic commercial models will be best positioned to capture opportunities across inspection, robotics, surveillance, and other industrial imaging applications.
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 multi-camera synchronization protocols for high-speed industrial inspection
- 5.2. Adoption of advanced GigE Vision standard enhancements for improved data throughput
- 5.3. Emergence of AI-driven image processing modules integrated with GigE cameras
- 5.4. Demand for compact, high-resolution GigE cameras in autonomous vehicle sensor networks
- 5.5. Growing investment in cybersecurity features for industrial GigE camera deployments
- 5.6. Development of low-power, ruggedized GigE cameras for outdoor surveillance and monitoring
- 5.7. Evolution of PoE++ powering for extended cable length in large-scale camera systems
- 5.8. Increasing use of smart factory IIoT platforms incorporating GigE camera analytics
- 5.9. Rise of customizable firmware APIs enabling real-time algorithm updates on GigE cameras
- 5.10. Focus on sub-millisecond latency optimization in multi-node GigE camera architectures
- 6. Cumulative Impact of United States Tariffs 2025
- 7. Cumulative Impact of Artificial Intelligence 2025
- 8. GigE Camera Market, by Sensor Type
- 8.1. CCD
- 8.1.1. Frame Transfer
- 8.1.2. Interline Transfer
- 8.2. CMOS
- 8.2.1. Global Shutter
- 8.2.2. Rolling Shutter
- 9. GigE Camera Market, by Resolution
- 9.1. 1 To 5 Mp
- 9.2. 5 To 10 Mp
- 9.3. Above 10 Mp
- 9.4. Below 1 Mp
- 10. GigE Camera Market, by Frame Rate
- 10.1. 30 To 60 Fps
- 10.2. 60 To 120 Fps
- 10.3. Above 120 Fps
- 10.4. Below 30 Fps
- 11. GigE Camera Market, by Product Type
- 11.1. 3D Camera
- 11.2. Area Scan
- 11.3. Line Scan
- 12. GigE Camera Market, by End User
- 12.1. Automotive
- 12.2. Electronics
- 12.3. Food Processing
- 12.4. Medical
- 12.5. Packaging
- 12.6. Research
- 12.7. Semiconductor
- 13. GigE Camera Market, by Application
- 13.1. Barcode Reading
- 13.2. Inspection
- 13.3. Machine Vision
- 13.4. Robotics
- 13.5. Surveillance
- 14. GigE Camera Market, by Region
- 14.1. Americas
- 14.1.1. North America
- 14.1.2. Latin America
- 14.2. Europe, Middle East & Africa
- 14.2.1. Europe
- 14.2.2. Middle East
- 14.2.3. Africa
- 14.3. Asia-Pacific
- 15. GigE Camera Market, by Group
- 15.1. ASEAN
- 15.2. GCC
- 15.3. European Union
- 15.4. BRICS
- 15.5. G7
- 15.6. NATO
- 16. GigE Camera Market, by Country
- 16.1. United States
- 16.2. Canada
- 16.3. Mexico
- 16.4. Brazil
- 16.5. United Kingdom
- 16.6. Germany
- 16.7. France
- 16.8. Russia
- 16.9. Italy
- 16.10. Spain
- 16.11. China
- 16.12. India
- 16.13. Japan
- 16.14. Australia
- 16.15. South Korea
- 17. Competitive Landscape
- 17.1. Market Share Analysis, 2024
- 17.2. FPNV Positioning Matrix, 2024
- 17.3. Competitive Analysis
- 17.3.1. Allied Vision Technologies GmbH
- 17.3.2. Basler AG
- 17.3.3. Baumer Holding AG
- 17.3.4. Dahua Technology Co., Ltd.
- 17.3.5. FLIR Systems, Inc.
- 17.3.6. IDS Imaging Development Systems GmbH
- 17.3.7. JAI A/S
- 17.3.8. Mikrotron GmbH
- 17.3.9. Omron Corporation
- 17.3.10. Sony Corporation
- 17.3.11. Stemmer Imaging AG
- 17.3.12. Teledyne DALSA Inc.
- 17.3.13. The Imaging Source Europe GmbH
- 17.3.14. XIMEA GmbH
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