Air Quality Monitoring Software Market by Product Type (Continuous Monitoring, Discrete Sampling, Portable Monitoring), Pollutant Type (Biological Contaminant Detection, Gas Monitoring, Particulate Matter), Deployment, Application, End User, Sales Channel
Description
The Air Quality Monitoring Software Market was valued at USD 843.06 million in 2024 and is projected to grow to USD 902.68 million in 2025, with a CAGR of 8.01%, reaching USD 1,561.86 million by 2032.
Concise primer describing why modern air quality monitoring software has become indispensable for regulatory compliance, operational resilience, and public health decision making
Air quality monitoring software has moved from a niche operational tool to a strategic asset for organizations seeking to safeguard health, meet regulatory requirements, and optimize operational performance. This introduction synthesizes the forces driving attention to air quality visibility across industry, public agencies, healthcare providers, and built environment managers. As sensor fidelity improves and analytics become more sophisticated, software platforms that normalize, contextualize, and operationalize air quality data are becoming central to decision-making processes from incident response to long-term planning.
The contemporary landscape is characterized by tighter regulatory scrutiny, a growing public expectation for transparency, and technological convergence between IoT platforms and environmental analytics. Consequently, stakeholders require software that not only ingests diverse sensor streams but also supports data quality controls, anomaly detection, and actionable workflows. This section establishes the foundational framework for readers, highlighting why air quality monitoring software merits focused attention as an instrument of risk mitigation, compliance assurance, and stakeholder engagement.
How technological maturation, regulatory tightening, and ecosystem partnerships are reshaping product strategies and deployment models in air quality monitoring software
The market has entered a period of transformative shifts driven by technological maturation, regulatory tightening, and evolving user expectations. Advances in low‑cost sensors and increased interoperability standards have broadened the range of deployment scenarios, enabling continuous monitoring in environments previously reliant on periodic sampling. At the same time, edge computing and federated analytics are reducing latency and improving privacy controls, allowing organizations to extract near real‑time insights while limiting raw data movement.
Regulatory momentum and public health imperatives are reshaping product roadmaps and procurement criteria. Vendors are integrating advanced analytics such as machine learning–based source apportionment and predictive alerting to preempt exposure incidents. Interoperability initiatives and standardized APIs are promoting ecosystem plays where software vendors partner with sensor manufacturers, integrators, and cloud providers to deliver turnkey solutions. Taken together, these shifts are forcing incumbent players to evolve product architectures and pushing new entrants to focus on niche capabilities that can be scaled through partnerships.
Assessment of how recent United States tariff measures altered procurement economics, supply chain risk profiles, and vendor selection dynamics for air quality solutions
The 2025 tariff environment in the United States introduced new considerations for procurement, supply chain architecture, and vendor selection. Tariff changes influenced component sourcing strategies, particularly for sensor modules, communications hardware, and preassembled monitoring nodes that are often manufactured across global supply chains. In response, organizations reassessed total cost of ownership implications and sought to mitigate exposure through diversified sourcing, local assembly, or strategic stockpiling of critical hardware components.
Beyond hardware, tariffs also affected the economics of bundled solutions where software licensing is offered alongside hardware procurement. Procurement teams increasingly prioritized modular architectures that allow software to be decoupled from vendor‑specific hardware, enabling more flexible sourcing decisions. Meanwhile, supplier risk assessments intensified, prompting buyers to require clearer contractual protections around lead times, warranty support, and cross-border service continuity. These adaptations illustrate how trade policy changes can cascade through procurement, deployment timelines, and integration plans for air quality monitoring programs.
Multidimensional segmentation analysis that decodes product, application, pollutant, end‑user, deployment, and sales channel requirements driving software differentiation
Understanding demand patterns requires granular segmentation across product, application, pollutant type, end user, deployment, and sales channel. Based on Product Type, the market is studied across Continuous Monitoring, Discrete Sampling, and Portable Monitoring, which reflect different data cadence and mobility requirements and influence software features such as temporal aggregation and calibration workflows. Based on Application, the market is studied across Commercial, Environmental, Healthcare, Industrial, and Residential; within Commercial the focus narrows to Office Buildings and Retail Outlets, Environmental to Monitoring Stations and Research Institutes, Healthcare to Clinics and Hospitals, and Industrial to Energy, Manufacturing, and Oil And Gas, each of which imposes distinct compliance and operational needs that shape software integration and alerting logic.
Based on Pollutant Type, the market is studied across Biological Contaminant Detection, Gas Monitoring, and Particulate Matter; Biological Contaminant Detection is further studied across Bacteria and Viruses, Gas Monitoring across Carbon Monoxide, Nitrogen Dioxide, Ozone, and VOCs, and Particulate Matter across PM10 and PM2.5, producing requirements for varied sensor calibration, detection limits, and analytics. Based on End User, the market is studied across Commercial Buildings, Government Agencies, Industrial Enterprises, and Residential Consumers, each with differentiated procurement cycles and acceptance criteria. Based on Deployment, the market is studied across Fixed Installation and Portable Units, which drive differences in data synchronization and power management. Based on Sales Channel, the market is studied across Channel Partners, Direct Sales, and Online Distribution, influencing pricing, support expectations, and the degree of customization offered. Integrating these segmentation dimensions reveals where product innovation is concentrated and where user experience improvements can unlock adoption across use cases.
Regional dynamics and regulatory nuances across the Americas, Europe Middle East & Africa, and Asia-Pacific that influence procurement, deployment, and product roadmaps
Regional dynamics shape technology adoption, regulatory emphasis, and vendor strategies in distinct ways. In the Americas, emphasis tends to be on rapid deployment for urban air quality initiatives, infrastructure monitoring, and corporate sustainability programs, encouraging platforms that support integration with municipal data portals and public dashboards. In Europe, Middle East & Africa, regulatory frameworks and cross‑border initiatives drive strong demand for standardized reporting and interoperability, while the diversity of environmental conditions and resource availability encourages flexible deployment models and local partnerships. In the Asia‑Pacific region, rapid urbanization, industrialization, and significant investments in smart city programs stimulate both public and private sector demand for scalable solutions capable of supporting large sensor networks and multilingual user interfaces.
The interplay between regional regulatory drivers and local procurement practices creates opportunities for vendors to differentiate through compliance automation, multilingual support, and partnerships with regional systems integrators. Moreover, data sovereignty and localization concerns in some jurisdictions encourage architectures that support on‑premises or hybrid deployments. Taken together, these regional nuances require vendors and buyers to adopt tailored strategies that align product roadmaps and service models with local operational and regulatory realities.
Competitive landscape and vendor strategies that reveal how product architecture, partnerships, and service models determine buyer preference in the sector
Competitive dynamics are characterized by a mix of established instrumentation providers expanding into software, pure‑play analytics vendors, systems integrators, and focused startups. Market leaders differentiate through a combination of deep domain knowledge, robust data quality management, and the ability to embed regulatory reporting workflows into the platform. Some vendors emphasize turnkey offerings that include sensor hardware, managed services, and cloud analytics, while others adopt a best‑of‑breed approach, focusing on interoperability and open APIs to integrate with a wide array of third‑party sensors and enterprise systems.
Partnerships between software firms and hardware manufacturers or telecom providers are an important route to market, enabling scale and field support. Service differentiation is also evident in professional services capabilities such as custom sensor calibration, site assessment, and programmatic deployments across multi‑site portfolios. Pricing models vary from subscription‑based arrangements to usage or data‑volume fee structures, prompting buyers to weigh long‑term service commitments against the flexibility offered by modular solutions. Ultimately, competitive advantage accrues to firms that can demonstrate reliable data fidelity, regulatory alignment, and seamless integration with operational workflows.
Actionable strategic and tactical recommendations for product, partnership, and go‑to‑market decisions that accelerate adoption and reduce implementation friction
Leaders seeking to capture value in air quality monitoring software should pursue a balanced strategy that emphasizes interoperability, data integrity, and customer‑centric service design. Prioritize modular architectures that allow software to support diverse sensor types and deployment modes, thereby reducing buyer lock‑in and enabling flexible procurement. Invest in robust calibration management and data quality pipelines that minimize false positives and build trust among end users, while also embedding regulatory workflows to streamline compliance reporting.
Additionally, cultivate partnerships with hardware suppliers, channel partners, and systems integrators to accelerate deployments and reduce implementation friction. Offer tiered service bundles that combine platform capabilities with professional services such as site assessment, program management, and bespoke analytics, enabling entry for smaller buyers while providing deeper value for large enterprise and public sector customers. Finally, emphasize transparent pricing and clear service level agreements that address hardware replacements, sensor drift, and data retention policies to reduce procurement friction and improve adoption rates.
Transparent mixed‑methods research methodology blending primary stakeholder interviews, technical validation, and regulatory review to ensure robust findings
The research underpinning this analysis relied on a structured methodology combining primary and secondary sources, qualitative interviews, and technical validation activities. Primary research included in‑depth interviews with procurement leaders, environmental scientists, facility managers, and vendor product managers to surface decision criteria, pain points, and emerging functional requirements. Secondary investigation encompassed scientific literature, regulatory documents, and white papers to corroborate technical constraints and compliance imperatives that shape software requirements.
To validate technical assertions, analytical methods such as sensor performance benchmarking, data pipeline stress testing, and review of API interoperability were used. Findings were triangulated across multiple sources to ensure robustness, and regional regulatory frameworks were reviewed to align product implications with jurisdictional requirements. Throughout the study, anonymized case studies and real‑world deployment feedback were used to ground conclusions in operational realities and to illuminate practical trade‑offs faced by buyers and implementers.
Final synthesis underscoring the imperative for modular architectures, rigorous data governance, and partnership strategies to operationalize air quality insights
Consolidating the analysis, air quality monitoring software has evolved into a multidimensional solution set that addresses regulatory, operational, and public health needs. Advancements in sensor technology, analytics, and connectivity are enabling richer insights, but they also raise new expectations around data quality, interoperability, and ongoing service delivery. Organizations that succeed will be those that adopt flexible architectures, emphasize calibration and data governance, and develop procurement approaches that minimize vendor lock‑in while ensuring operational reliability.
Looking ahead, the interplay between regional regulatory initiatives, supply chain adjustments, and evolving user expectations will continue to shape vendor strategies and buyer requirements. By focusing on modularity, partnerships, and transparent service commitments, stakeholders can deploy solutions that not only monitor air quality but also drive measurable improvements in environmental performance and occupant well‑being. This closing synthesis underscores the practical steps procurement and technical teams should prioritize as they move from pilot projects to programmatic deployments.
Please Note: PDF & Excel + Online Access - 1 Year
Concise primer describing why modern air quality monitoring software has become indispensable for regulatory compliance, operational resilience, and public health decision making
Air quality monitoring software has moved from a niche operational tool to a strategic asset for organizations seeking to safeguard health, meet regulatory requirements, and optimize operational performance. This introduction synthesizes the forces driving attention to air quality visibility across industry, public agencies, healthcare providers, and built environment managers. As sensor fidelity improves and analytics become more sophisticated, software platforms that normalize, contextualize, and operationalize air quality data are becoming central to decision-making processes from incident response to long-term planning.
The contemporary landscape is characterized by tighter regulatory scrutiny, a growing public expectation for transparency, and technological convergence between IoT platforms and environmental analytics. Consequently, stakeholders require software that not only ingests diverse sensor streams but also supports data quality controls, anomaly detection, and actionable workflows. This section establishes the foundational framework for readers, highlighting why air quality monitoring software merits focused attention as an instrument of risk mitigation, compliance assurance, and stakeholder engagement.
How technological maturation, regulatory tightening, and ecosystem partnerships are reshaping product strategies and deployment models in air quality monitoring software
The market has entered a period of transformative shifts driven by technological maturation, regulatory tightening, and evolving user expectations. Advances in low‑cost sensors and increased interoperability standards have broadened the range of deployment scenarios, enabling continuous monitoring in environments previously reliant on periodic sampling. At the same time, edge computing and federated analytics are reducing latency and improving privacy controls, allowing organizations to extract near real‑time insights while limiting raw data movement.
Regulatory momentum and public health imperatives are reshaping product roadmaps and procurement criteria. Vendors are integrating advanced analytics such as machine learning–based source apportionment and predictive alerting to preempt exposure incidents. Interoperability initiatives and standardized APIs are promoting ecosystem plays where software vendors partner with sensor manufacturers, integrators, and cloud providers to deliver turnkey solutions. Taken together, these shifts are forcing incumbent players to evolve product architectures and pushing new entrants to focus on niche capabilities that can be scaled through partnerships.
Assessment of how recent United States tariff measures altered procurement economics, supply chain risk profiles, and vendor selection dynamics for air quality solutions
The 2025 tariff environment in the United States introduced new considerations for procurement, supply chain architecture, and vendor selection. Tariff changes influenced component sourcing strategies, particularly for sensor modules, communications hardware, and preassembled monitoring nodes that are often manufactured across global supply chains. In response, organizations reassessed total cost of ownership implications and sought to mitigate exposure through diversified sourcing, local assembly, or strategic stockpiling of critical hardware components.
Beyond hardware, tariffs also affected the economics of bundled solutions where software licensing is offered alongside hardware procurement. Procurement teams increasingly prioritized modular architectures that allow software to be decoupled from vendor‑specific hardware, enabling more flexible sourcing decisions. Meanwhile, supplier risk assessments intensified, prompting buyers to require clearer contractual protections around lead times, warranty support, and cross-border service continuity. These adaptations illustrate how trade policy changes can cascade through procurement, deployment timelines, and integration plans for air quality monitoring programs.
Multidimensional segmentation analysis that decodes product, application, pollutant, end‑user, deployment, and sales channel requirements driving software differentiation
Understanding demand patterns requires granular segmentation across product, application, pollutant type, end user, deployment, and sales channel. Based on Product Type, the market is studied across Continuous Monitoring, Discrete Sampling, and Portable Monitoring, which reflect different data cadence and mobility requirements and influence software features such as temporal aggregation and calibration workflows. Based on Application, the market is studied across Commercial, Environmental, Healthcare, Industrial, and Residential; within Commercial the focus narrows to Office Buildings and Retail Outlets, Environmental to Monitoring Stations and Research Institutes, Healthcare to Clinics and Hospitals, and Industrial to Energy, Manufacturing, and Oil And Gas, each of which imposes distinct compliance and operational needs that shape software integration and alerting logic.
Based on Pollutant Type, the market is studied across Biological Contaminant Detection, Gas Monitoring, and Particulate Matter; Biological Contaminant Detection is further studied across Bacteria and Viruses, Gas Monitoring across Carbon Monoxide, Nitrogen Dioxide, Ozone, and VOCs, and Particulate Matter across PM10 and PM2.5, producing requirements for varied sensor calibration, detection limits, and analytics. Based on End User, the market is studied across Commercial Buildings, Government Agencies, Industrial Enterprises, and Residential Consumers, each with differentiated procurement cycles and acceptance criteria. Based on Deployment, the market is studied across Fixed Installation and Portable Units, which drive differences in data synchronization and power management. Based on Sales Channel, the market is studied across Channel Partners, Direct Sales, and Online Distribution, influencing pricing, support expectations, and the degree of customization offered. Integrating these segmentation dimensions reveals where product innovation is concentrated and where user experience improvements can unlock adoption across use cases.
Regional dynamics and regulatory nuances across the Americas, Europe Middle East & Africa, and Asia-Pacific that influence procurement, deployment, and product roadmaps
Regional dynamics shape technology adoption, regulatory emphasis, and vendor strategies in distinct ways. In the Americas, emphasis tends to be on rapid deployment for urban air quality initiatives, infrastructure monitoring, and corporate sustainability programs, encouraging platforms that support integration with municipal data portals and public dashboards. In Europe, Middle East & Africa, regulatory frameworks and cross‑border initiatives drive strong demand for standardized reporting and interoperability, while the diversity of environmental conditions and resource availability encourages flexible deployment models and local partnerships. In the Asia‑Pacific region, rapid urbanization, industrialization, and significant investments in smart city programs stimulate both public and private sector demand for scalable solutions capable of supporting large sensor networks and multilingual user interfaces.
The interplay between regional regulatory drivers and local procurement practices creates opportunities for vendors to differentiate through compliance automation, multilingual support, and partnerships with regional systems integrators. Moreover, data sovereignty and localization concerns in some jurisdictions encourage architectures that support on‑premises or hybrid deployments. Taken together, these regional nuances require vendors and buyers to adopt tailored strategies that align product roadmaps and service models with local operational and regulatory realities.
Competitive landscape and vendor strategies that reveal how product architecture, partnerships, and service models determine buyer preference in the sector
Competitive dynamics are characterized by a mix of established instrumentation providers expanding into software, pure‑play analytics vendors, systems integrators, and focused startups. Market leaders differentiate through a combination of deep domain knowledge, robust data quality management, and the ability to embed regulatory reporting workflows into the platform. Some vendors emphasize turnkey offerings that include sensor hardware, managed services, and cloud analytics, while others adopt a best‑of‑breed approach, focusing on interoperability and open APIs to integrate with a wide array of third‑party sensors and enterprise systems.
Partnerships between software firms and hardware manufacturers or telecom providers are an important route to market, enabling scale and field support. Service differentiation is also evident in professional services capabilities such as custom sensor calibration, site assessment, and programmatic deployments across multi‑site portfolios. Pricing models vary from subscription‑based arrangements to usage or data‑volume fee structures, prompting buyers to weigh long‑term service commitments against the flexibility offered by modular solutions. Ultimately, competitive advantage accrues to firms that can demonstrate reliable data fidelity, regulatory alignment, and seamless integration with operational workflows.
Actionable strategic and tactical recommendations for product, partnership, and go‑to‑market decisions that accelerate adoption and reduce implementation friction
Leaders seeking to capture value in air quality monitoring software should pursue a balanced strategy that emphasizes interoperability, data integrity, and customer‑centric service design. Prioritize modular architectures that allow software to support diverse sensor types and deployment modes, thereby reducing buyer lock‑in and enabling flexible procurement. Invest in robust calibration management and data quality pipelines that minimize false positives and build trust among end users, while also embedding regulatory workflows to streamline compliance reporting.
Additionally, cultivate partnerships with hardware suppliers, channel partners, and systems integrators to accelerate deployments and reduce implementation friction. Offer tiered service bundles that combine platform capabilities with professional services such as site assessment, program management, and bespoke analytics, enabling entry for smaller buyers while providing deeper value for large enterprise and public sector customers. Finally, emphasize transparent pricing and clear service level agreements that address hardware replacements, sensor drift, and data retention policies to reduce procurement friction and improve adoption rates.
Transparent mixed‑methods research methodology blending primary stakeholder interviews, technical validation, and regulatory review to ensure robust findings
The research underpinning this analysis relied on a structured methodology combining primary and secondary sources, qualitative interviews, and technical validation activities. Primary research included in‑depth interviews with procurement leaders, environmental scientists, facility managers, and vendor product managers to surface decision criteria, pain points, and emerging functional requirements. Secondary investigation encompassed scientific literature, regulatory documents, and white papers to corroborate technical constraints and compliance imperatives that shape software requirements.
To validate technical assertions, analytical methods such as sensor performance benchmarking, data pipeline stress testing, and review of API interoperability were used. Findings were triangulated across multiple sources to ensure robustness, and regional regulatory frameworks were reviewed to align product implications with jurisdictional requirements. Throughout the study, anonymized case studies and real‑world deployment feedback were used to ground conclusions in operational realities and to illuminate practical trade‑offs faced by buyers and implementers.
Final synthesis underscoring the imperative for modular architectures, rigorous data governance, and partnership strategies to operationalize air quality insights
Consolidating the analysis, air quality monitoring software has evolved into a multidimensional solution set that addresses regulatory, operational, and public health needs. Advancements in sensor technology, analytics, and connectivity are enabling richer insights, but they also raise new expectations around data quality, interoperability, and ongoing service delivery. Organizations that succeed will be those that adopt flexible architectures, emphasize calibration and data governance, and develop procurement approaches that minimize vendor lock‑in while ensuring operational reliability.
Looking ahead, the interplay between regional regulatory initiatives, supply chain adjustments, and evolving user expectations will continue to shape vendor strategies and buyer requirements. By focusing on modularity, partnerships, and transparent service commitments, stakeholders can deploy solutions that not only monitor air quality but also drive measurable improvements in environmental performance and occupant well‑being. This closing synthesis underscores the practical steps procurement and technical teams should prioritize as they move from pilot projects to programmatic deployments.
Please Note: PDF & Excel + Online Access - 1 Year
Table of Contents
191 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 predictive analytics for real-time pollution forecasting and source attribution
- 5.2. Expansion of low-cost sensor networks enabling hyperlocal indoor and outdoor air quality mapping
- 5.3. Adoption of cloud-based air quality platforms offering scalable data storage and remote accessibility
- 5.4. Implementation of IoT-enabled wearable air quality devices for personalized exposure monitoring
- 5.5. Demand for compliance-focused software modules addressing evolving environmental regulations
- 6. Cumulative Impact of United States Tariffs 2025
- 7. Cumulative Impact of Artificial Intelligence 2025
- 8. Air Quality Monitoring Software Market, by Product Type
- 8.1. Continuous Monitoring
- 8.2. Discrete Sampling
- 8.3. Portable Monitoring
- 9. Air Quality Monitoring Software Market, by Pollutant Type
- 9.1. Biological Contaminant Detection
- 9.1.1. Bacteria
- 9.1.2. Viruses
- 9.2. Gas Monitoring
- 9.2.1. Carbon Monoxide
- 9.2.2. Nitrogen Dioxide
- 9.2.3. Ozone
- 9.2.4. VOCs
- 9.3. Particulate Matter
- 9.3.1. PM10
- 9.3.2. PM2.5
- 10. Air Quality Monitoring Software Market, by Deployment
- 10.1. Fixed Installation
- 10.2. Portable Units
- 11. Air Quality Monitoring Software Market, by Application
- 11.1. Commercial
- 11.1.1. Office Buildings
- 11.1.2. Retail Outlets
- 11.2. Environmental
- 11.2.1. Monitoring Stations
- 11.2.2. Research Institutes
- 11.3. Healthcare
- 11.3.1. Clinics
- 11.3.2. Hospitals
- 11.4. Industrial
- 11.4.1. Energy
- 11.4.2. Manufacturing
- 11.4.3. Oil And Gas
- 11.5. Residential
- 12. Air Quality Monitoring Software Market, by End User
- 12.1. Commercial Buildings
- 12.2. Government Agencies
- 12.3. Industrial Enterprises
- 12.4. Residential Consumers
- 13. Air Quality Monitoring Software Market, by Sales Channel
- 13.1. Channel Partners
- 13.2. Direct Sales
- 13.3. Online Distribution
- 14. Air Quality Monitoring Software 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. Air Quality Monitoring Software Market, by Group
- 15.1. ASEAN
- 15.2. GCC
- 15.3. European Union
- 15.4. BRICS
- 15.5. G7
- 15.6. NATO
- 16. Air Quality Monitoring Software 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. Aeroqual Ltd.
- 17.3.2. Airly Sp. z o.o.
- 17.3.3. Bosch Sensortec GmbH
- 17.3.4. BreezoMeter Ltd.
- 17.3.5. Clarity Movement Co.
- 17.3.6. Environnement S.A.
- 17.3.7. Hawa Dawa GmbH
- 17.3.8. Honeywell International Inc.
- 17.3.9. IQAir AG
- 17.3.10. Kaiterra Inc.
- 17.3.11. Kisters AG
- 17.3.12. Lakes Environmental Software Inc.
- 17.3.13. Plume Labs Ltd.
- 17.3.14. PurpleAir LLC
- 17.3.15. Robert Bosch GmbH
- 17.3.16. Siemens AG
- 17.3.17. Thermo Fisher Scientific Inc.
- 17.3.18. Vaisala Oyj
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