Data Acquisition System Market by Product Type (Hardware, Services, Software), End User (Aerospace & Defense, Banking, Financial Services & Insurance, Healthcare), Deployment Mode, Application - Global Forecast 2025-2032
Description
The Data Acquisition System Market was valued at USD 3.02 billion in 2024 and is projected to grow to USD 3.20 billion in 2025, with a CAGR of 6.74%, reaching USD 5.09 billion by 2032.
Establishing a Comprehensive Overview of Industry Trends and Technological Drivers Shaping the Modern Landscape of Data Acquisition Systems
Data acquisition systems have become the backbone of digital transformation initiatives across diverse industrial and research environments. These systems capture real-time information from physical processes, converting analog signals into meaningful digital data that supports critical decision-making. As organizations pursue higher levels of efficiency and precision, data acquisition platforms evolve in sophistication to address complex integration requirements and to deliver actionable insights.
This executive summary offers a concise yet comprehensive introduction to the current landscape of data acquisition systems, outlining key technological drivers and strategic considerations. By distilling the most salient trends and challenges, this overview sets the stage for deeper exploration of transformative shifts, tariff impacts, segmentation nuances, regional dynamics, and actionable recommendations. Readers will gain an informed perspective on how to navigate the evolving demands of modern enterprises and extract maximum value from their data acquisition investments.
Identifying Pivotal Technological Breakthroughs and Evolving Customer Demands That Are Redefining Standards in Data Acquisition Solutions Delivery Models
The data acquisition market is undergoing a rapid transformation fueled by breakthroughs in sensor technology, embedded computing, and advanced analytics. High-resolution sensors now deliver unprecedented levels of accuracy, while edge computing architectures enable real-time processing at the source. As a result, organizations can continuously monitor critical parameters without latency, seamlessly integrating streaming data into enterprise-wide architectures.
Moreover, the integration of artificial intelligence and machine learning into data acquisition workflows has redefined system capabilities. Predictive maintenance models leverage historical patterns to anticipate equipment failures before they occur. Consequently, downtime is minimized and operational efficiency is optimized. In parallel, the proliferation of industrial Internet of Things frameworks has expanded connectivity across distributed assets, creating a unified environment that transcends traditional silos.
Customer demands have also shifted dramatically. Decision-makers now seek solutions that not only gather data but also provide end-to-end analytics, intuitive visualization, and secure cloud integration. Vendors are responding by offering modular platforms that can be tailored to specific use cases, fostering agility in deployment. As these evolutionary trends converge, the market is witnessing a redefinition of standards in performance, scalability, and user experience.
Analyzing the Compounded Effects of Recent United States Tariff Changes on Supply Chains and Component Costs Within Data Acquisition System Ecosystems
In 2025, new tariff regulations imposed by the United States government introduced additional duties on electronic components and subassemblies vital to data acquisition system manufacturing. These measures elevated the cost structure for sensors, connectors, and semiconductor devices, forcing suppliers and original equipment manufacturers to reassess their sourcing strategies.
The cumulative effect of these tariffs has rippled through global supply chains. Component providers have faced pressure to absorb part of the increased costs, while system integrators have been challenged to maintain competitive pricing without sacrificing performance. In response, many organizations have accelerated their diversification efforts, seeking alternative suppliers in regions less affected by trade restrictions. At the same time, strategic partners have collaborated on redesigning component assemblies to reduce reliance on tariffed items.
Consequently, companies that proactively restructured their supply networks have achieved greater resilience. They have pursued localized manufacturing strategies or negotiated long-term procurement contracts to stabilize pricing. This adaptive approach has underscored the importance of robust supply chain visibility and agile procurement processes. As market participants continue to navigate tariff-induced complexities, those with comprehensive risk management frameworks are positioned to mitigate cost volatility and safeguard delivery timelines.
Uncovering Critical Market Segmentation Patterns Across Product Types Deployment Options End User Verticals and Application Domains Driving Differentiated Value
Market segmentation reveals a multi-dimensional landscape shaped by product type, end user, deployment mode, and application focus. Within the product type category, hardware offerings encompass accessories, data acquisition units, input modules, and networking equipment, each serving as a foundational element for capturing and transmitting data. Complementing this, service portfolios include consulting services, installation and commissioning, and maintenance and support, which together ensure seamless integration and ongoing performance. Meanwhile, software solutions span analysis software, control software, and data visualization software, empowering stakeholders to transform raw signals into strategic insights.
From an end user perspective, the aerospace and defense sector demands ruggedized platforms and stringent compliance controls, while banking, financial services and insurance verticals prioritize data security and uptime. Healthcare organizations require precision and validation for clinical environments, and manufacturing clients in automotive, chemicals, and electronics seek robust systems to optimize production. Oil and gas operators focus on remote monitoring under extreme conditions, whereas retailers emphasize streamlined process monitoring and reporting for supply chain transparency.
Deployment mode considerations further differentiate market opportunities. Cloud-based solutions offer scalability and rapid provisioning, leveraging remote infrastructure to accommodate fluctuating data volumes. On-premise configurations, in contrast, deliver heightened data sovereignty and lower latency, suited to highly regulated or security-conscious environments. Finally, applications cluster around automation, data analysis, process monitoring, and reporting, with each use case driving distinct performance and feature requirements. Taken together, these segmentation layers illuminate critical pathways for vendors to develop tailored offerings that resonate with specific customer profiles and operational objectives.
Mapping Regional Dynamics and Growth Drivers Across the Americas Europe Middle East Africa and Asia Pacific to Illuminate Strategic Market Opportunities
Regional dynamics exert a profound influence on adoption rates and technology preferences within the data acquisition sphere. In the Americas, mature industrial infrastructures and robust research ecosystems have fostered early uptake of integrated systems, with notable investments in edge computing and predictive analytics. Market leaders in this region often prioritize seamless interoperability and advanced support services to sustain competitive advantage.
Across Europe Middle East and Africa, regulatory frameworks and sustainability initiatives shape procurement decisions. Companies in this region emphasize compliance with stringent safety and environmental standards, driving demand for modular platforms that can be rapidly certified and scaled. Collaborative partnerships with local integrators and service providers further reinforce system reliability and lifecycle support.
Meanwhile, Asia Pacific has emerged as a dynamic growth center underpinned by rapid industrialization and expanding manufacturing hubs. Organizations in this region are increasingly adopting cost-effective, scalable solutions that can accommodate high-volume data processing. Government incentives for smart factory deployments have accelerated digital transformation, positioning the Asia Pacific landscape as a critical frontier for innovation and customized system design.
Highlighting Leading Organizations Market Strategies and Innovation Benchmarks That Are Shaping Competitive Landscapes Within the Data Acquisition System Industry
Several industry frontrunners have distinguished themselves through strategic investments in research and development, comprehensive partnerships, and targeted acquisitions. Leading multinational corporations have leveraged their global footprints to establish center of excellence facilities, offering localized support while maintaining consistent product roadmaps. These organizations have focused on enhancing system modularity, enabling rapid customization that aligns with diverse use cases across verticals.
Innovation-driven mid-tier specialists have responded by forging alliances with emerging software providers and technology incubators. By integrating advanced analytics modules into their offerings, they have been able to present differentiated value propositions centered on predictive insights and enhanced user experience. At the same time, select niche players have concentrated on deep vertical expertise, tailoring their solutions to address the unique requirements of sectors such as automotive manufacturing or clinical diagnostics.
Competitive dynamics continue to evolve as companies adopt service-led growth strategies, bundling consulting, implementation, and ongoing support into unified engagements. This shift underscores a broader industry emphasis on outcome-based pricing models and strategic partnerships, with market leaders prioritizing end-to-end solution delivery over standalone product sales.
Delivering Practical Strategic Guidance for Industry Leaders to Capitalize on Emerging Data Acquisition Trends and Strengthen Competitive Resilience in Shifting Markets
For industry leaders seeking to maintain a competitive edge, adopting a modular architecture across hardware and software components is essential to accelerate time to market and facilitate incremental upgrades. By architecting platforms with standardized interfaces and plug-and-play modules, organizations can simplify customization for diverse customers while reducing engineering overhead.
In parallel, strategic partnerships with cloud service providers and cybersecurity specialists will strengthen end-to-end data integrity and compliance. Embedding security controls at every layer-from device firmware to cloud repositories-ensures resilience against evolving threats. In addition, investing in advanced analytics capabilities, including machine learning frameworks, enables proactive asset management and continuous performance optimization.
To mitigate supply chain risks introduced by tariff fluctuations, companies should diversify their supplier base across multiple geographies and cultivate long-term procurement alliances. Localizing critical manufacturing steps and leveraging digital twins for scenario planning can further enhance agility and cost predictability. Lastly, executives should champion cross-functional teams that align R&D, operations, and customer support, fostering a cohesive ecosystem that accelerates innovation cycles and drives sustained growth.
Outlining Rigorous Multi Channel Research Approaches and Analytical Frameworks Employed to Ensure Reliability Validity and Depth in Data Acquisition System Market Insights
This report’s insights derive from a comprehensive research methodology that balances primary and secondary sources to achieve depth and accuracy. Primary research included in-depth interviews with senior executives, system architects, and procurement specialists, providing first-hand perspectives on technology adoption, deployment challenges, and future roadmaps. Secondary research involved rigorous examination of industry journals, regulatory documentation, and white papers to contextualize evolving standards and best practices.
Quantitative data analysis was supported by an extensive review of patent filings, financial reports, and product launch announcements, ensuring that material developments were accurately captured. Qualitative assessments were conducted through expert panels and peer review sessions to validate assumptions and refine trend projections. To guarantee reliability, data points were triangulated, cross-referenced, and subjected to consistency checks, while regional insights were corroborated by local market intelligence providers.
Synthesizing Core Findings and Strategic Implications to Provide a Cohesive Perspective on Future Developments Within the Data Acquisition System Sector
The convergence of advanced sensor technologies, edge computing, and AI-driven analytics is steering the data acquisition market toward unprecedented levels of performance and adaptability. Regulatory pressures and sustainability imperatives are reshaping procurement criteria, while tariff dynamics continue to challenge supply chain stability. Against this backdrop, organizations that embrace modularity, data-centric security, and strategic partnerships will be best positioned to thrive.
Key segmentation and regional insights underscore the importance of tailoring offerings to specific user needs, whether in aerospace and defense, healthcare, manufacturing, or other critical sectors. As competitive pressures intensify, vendors that integrate outcome-based service models and invest in localized support infrastructure will differentiate themselves through superior customer experiences. Ultimately, the ability to synthesize technological innovation with operational agility will define the next era of growth in the data acquisition ecosystem.
Please Note: PDF & Excel + Online Access - 1 Year
Establishing a Comprehensive Overview of Industry Trends and Technological Drivers Shaping the Modern Landscape of Data Acquisition Systems
Data acquisition systems have become the backbone of digital transformation initiatives across diverse industrial and research environments. These systems capture real-time information from physical processes, converting analog signals into meaningful digital data that supports critical decision-making. As organizations pursue higher levels of efficiency and precision, data acquisition platforms evolve in sophistication to address complex integration requirements and to deliver actionable insights.
This executive summary offers a concise yet comprehensive introduction to the current landscape of data acquisition systems, outlining key technological drivers and strategic considerations. By distilling the most salient trends and challenges, this overview sets the stage for deeper exploration of transformative shifts, tariff impacts, segmentation nuances, regional dynamics, and actionable recommendations. Readers will gain an informed perspective on how to navigate the evolving demands of modern enterprises and extract maximum value from their data acquisition investments.
Identifying Pivotal Technological Breakthroughs and Evolving Customer Demands That Are Redefining Standards in Data Acquisition Solutions Delivery Models
The data acquisition market is undergoing a rapid transformation fueled by breakthroughs in sensor technology, embedded computing, and advanced analytics. High-resolution sensors now deliver unprecedented levels of accuracy, while edge computing architectures enable real-time processing at the source. As a result, organizations can continuously monitor critical parameters without latency, seamlessly integrating streaming data into enterprise-wide architectures.
Moreover, the integration of artificial intelligence and machine learning into data acquisition workflows has redefined system capabilities. Predictive maintenance models leverage historical patterns to anticipate equipment failures before they occur. Consequently, downtime is minimized and operational efficiency is optimized. In parallel, the proliferation of industrial Internet of Things frameworks has expanded connectivity across distributed assets, creating a unified environment that transcends traditional silos.
Customer demands have also shifted dramatically. Decision-makers now seek solutions that not only gather data but also provide end-to-end analytics, intuitive visualization, and secure cloud integration. Vendors are responding by offering modular platforms that can be tailored to specific use cases, fostering agility in deployment. As these evolutionary trends converge, the market is witnessing a redefinition of standards in performance, scalability, and user experience.
Analyzing the Compounded Effects of Recent United States Tariff Changes on Supply Chains and Component Costs Within Data Acquisition System Ecosystems
In 2025, new tariff regulations imposed by the United States government introduced additional duties on electronic components and subassemblies vital to data acquisition system manufacturing. These measures elevated the cost structure for sensors, connectors, and semiconductor devices, forcing suppliers and original equipment manufacturers to reassess their sourcing strategies.
The cumulative effect of these tariffs has rippled through global supply chains. Component providers have faced pressure to absorb part of the increased costs, while system integrators have been challenged to maintain competitive pricing without sacrificing performance. In response, many organizations have accelerated their diversification efforts, seeking alternative suppliers in regions less affected by trade restrictions. At the same time, strategic partners have collaborated on redesigning component assemblies to reduce reliance on tariffed items.
Consequently, companies that proactively restructured their supply networks have achieved greater resilience. They have pursued localized manufacturing strategies or negotiated long-term procurement contracts to stabilize pricing. This adaptive approach has underscored the importance of robust supply chain visibility and agile procurement processes. As market participants continue to navigate tariff-induced complexities, those with comprehensive risk management frameworks are positioned to mitigate cost volatility and safeguard delivery timelines.
Uncovering Critical Market Segmentation Patterns Across Product Types Deployment Options End User Verticals and Application Domains Driving Differentiated Value
Market segmentation reveals a multi-dimensional landscape shaped by product type, end user, deployment mode, and application focus. Within the product type category, hardware offerings encompass accessories, data acquisition units, input modules, and networking equipment, each serving as a foundational element for capturing and transmitting data. Complementing this, service portfolios include consulting services, installation and commissioning, and maintenance and support, which together ensure seamless integration and ongoing performance. Meanwhile, software solutions span analysis software, control software, and data visualization software, empowering stakeholders to transform raw signals into strategic insights.
From an end user perspective, the aerospace and defense sector demands ruggedized platforms and stringent compliance controls, while banking, financial services and insurance verticals prioritize data security and uptime. Healthcare organizations require precision and validation for clinical environments, and manufacturing clients in automotive, chemicals, and electronics seek robust systems to optimize production. Oil and gas operators focus on remote monitoring under extreme conditions, whereas retailers emphasize streamlined process monitoring and reporting for supply chain transparency.
Deployment mode considerations further differentiate market opportunities. Cloud-based solutions offer scalability and rapid provisioning, leveraging remote infrastructure to accommodate fluctuating data volumes. On-premise configurations, in contrast, deliver heightened data sovereignty and lower latency, suited to highly regulated or security-conscious environments. Finally, applications cluster around automation, data analysis, process monitoring, and reporting, with each use case driving distinct performance and feature requirements. Taken together, these segmentation layers illuminate critical pathways for vendors to develop tailored offerings that resonate with specific customer profiles and operational objectives.
Mapping Regional Dynamics and Growth Drivers Across the Americas Europe Middle East Africa and Asia Pacific to Illuminate Strategic Market Opportunities
Regional dynamics exert a profound influence on adoption rates and technology preferences within the data acquisition sphere. In the Americas, mature industrial infrastructures and robust research ecosystems have fostered early uptake of integrated systems, with notable investments in edge computing and predictive analytics. Market leaders in this region often prioritize seamless interoperability and advanced support services to sustain competitive advantage.
Across Europe Middle East and Africa, regulatory frameworks and sustainability initiatives shape procurement decisions. Companies in this region emphasize compliance with stringent safety and environmental standards, driving demand for modular platforms that can be rapidly certified and scaled. Collaborative partnerships with local integrators and service providers further reinforce system reliability and lifecycle support.
Meanwhile, Asia Pacific has emerged as a dynamic growth center underpinned by rapid industrialization and expanding manufacturing hubs. Organizations in this region are increasingly adopting cost-effective, scalable solutions that can accommodate high-volume data processing. Government incentives for smart factory deployments have accelerated digital transformation, positioning the Asia Pacific landscape as a critical frontier for innovation and customized system design.
Highlighting Leading Organizations Market Strategies and Innovation Benchmarks That Are Shaping Competitive Landscapes Within the Data Acquisition System Industry
Several industry frontrunners have distinguished themselves through strategic investments in research and development, comprehensive partnerships, and targeted acquisitions. Leading multinational corporations have leveraged their global footprints to establish center of excellence facilities, offering localized support while maintaining consistent product roadmaps. These organizations have focused on enhancing system modularity, enabling rapid customization that aligns with diverse use cases across verticals.
Innovation-driven mid-tier specialists have responded by forging alliances with emerging software providers and technology incubators. By integrating advanced analytics modules into their offerings, they have been able to present differentiated value propositions centered on predictive insights and enhanced user experience. At the same time, select niche players have concentrated on deep vertical expertise, tailoring their solutions to address the unique requirements of sectors such as automotive manufacturing or clinical diagnostics.
Competitive dynamics continue to evolve as companies adopt service-led growth strategies, bundling consulting, implementation, and ongoing support into unified engagements. This shift underscores a broader industry emphasis on outcome-based pricing models and strategic partnerships, with market leaders prioritizing end-to-end solution delivery over standalone product sales.
Delivering Practical Strategic Guidance for Industry Leaders to Capitalize on Emerging Data Acquisition Trends and Strengthen Competitive Resilience in Shifting Markets
For industry leaders seeking to maintain a competitive edge, adopting a modular architecture across hardware and software components is essential to accelerate time to market and facilitate incremental upgrades. By architecting platforms with standardized interfaces and plug-and-play modules, organizations can simplify customization for diverse customers while reducing engineering overhead.
In parallel, strategic partnerships with cloud service providers and cybersecurity specialists will strengthen end-to-end data integrity and compliance. Embedding security controls at every layer-from device firmware to cloud repositories-ensures resilience against evolving threats. In addition, investing in advanced analytics capabilities, including machine learning frameworks, enables proactive asset management and continuous performance optimization.
To mitigate supply chain risks introduced by tariff fluctuations, companies should diversify their supplier base across multiple geographies and cultivate long-term procurement alliances. Localizing critical manufacturing steps and leveraging digital twins for scenario planning can further enhance agility and cost predictability. Lastly, executives should champion cross-functional teams that align R&D, operations, and customer support, fostering a cohesive ecosystem that accelerates innovation cycles and drives sustained growth.
Outlining Rigorous Multi Channel Research Approaches and Analytical Frameworks Employed to Ensure Reliability Validity and Depth in Data Acquisition System Market Insights
This report’s insights derive from a comprehensive research methodology that balances primary and secondary sources to achieve depth and accuracy. Primary research included in-depth interviews with senior executives, system architects, and procurement specialists, providing first-hand perspectives on technology adoption, deployment challenges, and future roadmaps. Secondary research involved rigorous examination of industry journals, regulatory documentation, and white papers to contextualize evolving standards and best practices.
Quantitative data analysis was supported by an extensive review of patent filings, financial reports, and product launch announcements, ensuring that material developments were accurately captured. Qualitative assessments were conducted through expert panels and peer review sessions to validate assumptions and refine trend projections. To guarantee reliability, data points were triangulated, cross-referenced, and subjected to consistency checks, while regional insights were corroborated by local market intelligence providers.
Synthesizing Core Findings and Strategic Implications to Provide a Cohesive Perspective on Future Developments Within the Data Acquisition System Sector
The convergence of advanced sensor technologies, edge computing, and AI-driven analytics is steering the data acquisition market toward unprecedented levels of performance and adaptability. Regulatory pressures and sustainability imperatives are reshaping procurement criteria, while tariff dynamics continue to challenge supply chain stability. Against this backdrop, organizations that embrace modularity, data-centric security, and strategic partnerships will be best positioned to thrive.
Key segmentation and regional insights underscore the importance of tailoring offerings to specific user needs, whether in aerospace and defense, healthcare, manufacturing, or other critical sectors. As competitive pressures intensify, vendors that integrate outcome-based service models and invest in localized support infrastructure will differentiate themselves through superior customer experiences. Ultimately, the ability to synthesize technological innovation with operational agility will define the next era of growth in the data acquisition ecosystem.
Please Note: PDF & Excel + Online Access - 1 Year
Table of Contents
198 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 generative AI chatbots for proactive customer support across channels
- 5.2. Surging investment in blockchain supply chain solutions for enhanced transparency and traceability
- 5.3. Growing consumer demand for subscription-based wellness and mental health digital services
- 5.4. Expansion of carbon offset marketplaces leveraging IoT sensors for real-time emissions tracking
- 5.5. Adoption of edge computing architecture to support low-latency processing in autonomous vehicles
- 5.6. Rise of direct-to-avatar virtual goods sales in metaverse platforms for gamer monetization
- 5.7. Implementation of voice commerce integrations with smart home devices to streamline shopping
- 5.8. Emergence of AI-powered dynamic pricing algorithms integrated into real-time e-commerce inventory management systems
- 6. Cumulative Impact of United States Tariffs 2025
- 7. Cumulative Impact of Artificial Intelligence 2025
- 8. Data Acquisition System Market, by Product Type
- 8.1. Hardware
- 8.1.1. Accessories
- 8.1.2. Data Acquisition Units
- 8.1.3. Input Modules
- 8.1.4. Networking Equipment
- 8.2. Services
- 8.2.1. Consulting Services
- 8.2.2. Installation And Commissioning
- 8.2.3. Maintenance And Support
- 8.3. Software
- 8.3.1. Analysis Software
- 8.3.2. Control Software
- 8.3.3. Data Visualization Software
- 9. Data Acquisition System Market, by End User
- 9.1. Aerospace & Defense
- 9.2. Banking, Financial Services & Insurance
- 9.3. Healthcare
- 9.4. Manufacturing
- 9.4.1. Automotive
- 9.4.2. Chemicals
- 9.4.3. Electronics
- 9.5. Oil & Gas
- 9.6. Retail
- 10. Data Acquisition System Market, by Deployment Mode
- 10.1. Cloud
- 10.2. On Premise
- 11. Data Acquisition System Market, by Application
- 11.1. Automation
- 11.2. Data Analysis
- 11.3. Process Monitoring
- 11.4. Reporting
- 12. Data Acquisition System 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. Data Acquisition System Market, by Group
- 13.1. ASEAN
- 13.2. GCC
- 13.3. European Union
- 13.4. BRICS
- 13.5. G7
- 13.6. NATO
- 14. Data Acquisition System 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. Amazon.com, Inc.
- 15.3.2. Microsoft Corporation
- 15.3.3. International Business Machines Corporation
- 15.3.4. Oracle Corporation
- 15.3.5. ABB Ltd
- 15.3.6. ADLINK Technology, Inc.
- 15.3.7. Advantech Co. Ltd
- 15.3.8. AMETEK Inc.
- 15.3.9. Beckhoff Automation GmbH & Co. KG
- 15.3.10. Campbell Scientific Inc.
- 15.3.11. Curtiss-Wright Corporation
- 15.3.12. Dataforth Corp.
- 15.3.13. Dataq Instruments Inc.
- 15.3.14. Dewesoft d.o.o.
- 15.3.15. Emerson Electric Co.
- 15.3.16. Fluke Corporation
- 15.3.17. General Electric Company
- 15.3.18. HIOKI E.E. Corp.
- 15.3.19. Hottinger Brüel & Kjær A/S
- 15.3.20. Keysight Technologies, Inc.
- 15.3.21. Kistler Group
- 15.3.22. LabJack Corp.
- 15.3.23. Rockwell Automation Inc.
- 15.3.24. Schneider Electric SE
- 15.3.25. Siemens AG
- 15.3.26. Tektronix, Inc.
- 15.3.27. Teledyne Technologies Inc.
- 15.3.28. Yokogawa Electric Co.
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