Internet of Things in Education Market by Component (Hardware, Services, Software), Deployment Type (Cloud, On-Premise), Connectivity Technology, Application - Global Forecast 2025-2032
Description
The Internet of Things in Education Market was valued at USD 5.87 billion in 2024 and is projected to grow to USD 6.59 billion in 2025, with a CAGR of 13.72%, reaching USD 16.42 billion by 2032.
A concise overview of how connected devices and analytics are redefining pedagogy operations and infrastructure across educational institutions
The Internet of Things (IoT) is reshaping how educational institutions organize learning, secure campuses, and manage assets, driving an era in which sensors and connected platforms become foundational to modern pedagogy. Across classrooms and administrative operations, the convergence of hardware, software, and services empowers educators to deliver personalized instruction, improve safety protocols, and optimize facility utilization. As institutions adopt smart classroom tools, wearable devices, and analytics-driven learning management systems, they confront both new opportunities to enhance outcomes and practical challenges tied to interoperability, data protection, and sustainable deployment.
Transitioning from isolated pilots to institution-wide deployments requires deliberate planning that balances pedagogical goals with technical readiness. Decision-makers must evaluate how sensor suites, smart boards, and connected wearables will integrate with existing IT architectures and how services such as consulting, integration and support will sustain long-term operations. Furthermore, the emphasis on analytics and predictive capabilities shifts the focus from merely collecting data to unlocking actionable insights that inform instruction, attendance management, and resource allocation. In this landscape, strategic alignment between educational objectives and technology roadmaps will determine which initiatives deliver measurable improvements for students, faculty, and administrators.
How advances in connectivity sensors analytics and service delivery are converging to revolutionize classroom experiences campus safety and institutional efficiency
The landscape of education technology has experienced transformative shifts propelled by improved connectivity, advanced sensors, and more sophisticated analytics that enable real-time feedback and adaptive learning experiences. Innovations in classroom hardware like interactive boards and immersive virtual reality solutions have moved from novelty to practical tools that support differentiated instruction, while biometric and environmental sensors deliver new layers of insight into student engagement and facility conditions. Simultaneously, software stacks centered on learning management systems and analytics software have matured, emphasizing performance tracking and predictive analytics to support proactive interventions.
As these advances unfold, services have evolved to support end-to-end implementations, with consulting and integration increasingly focused on pedagogical alignment and interoperability rather than purely technical deployment. Security and privacy considerations have grown more prominent, prompting investments in robust governance and data protection practices. Moreover, the rise of edge computing and hybrid deployment architectures enables lower-latency experiences for interactive classroom technologies while offering pathways to scale through cloud-native services. Collectively, these shifts create an environment where institutions that combine pedagogical vision with disciplined technical strategy can accelerate impactful, resilient IoT-enabled education programs.
Examining the cumulative effects of recent tariff measures on procurement supply chain resilience and strategic sourcing decisions for educational IoT deployments
The imposition of tariffs and trade measures has added complexity to procurement and supply chain decisions for IoT solutions in education, influencing vendor selection, component sourcing, and total cost of ownership considerations. Tariff adjustments affecting electronics, sensors, and communications modules can lead procurement teams to re-evaluate suppliers, favor regional manufacturing partners, or extend lifecycle strategies to delay hardware refresh cycles. In response, many institutions and vendors are adopting diversified sourcing strategies and pursuing closer supplier relationships to mitigate the uncertainty introduced by tariff policy changes.
Additionally, tariff-driven cost pressures often stimulate increased emphasis on software-led value propositions and services that reduce reliance on frequent hardware replacements. This transitional response favors modular hardware designs, extended maintenance programs, and subscription-based service models that shift capital expenditure to operational expenditure. From a strategic perspective, education leaders are prioritizing interoperability and vendor-agnostic platforms to preserve flexibility in a shifting trade environment. As a result, procurement teams are placing greater weight on long-term resilience, support arrangements, and the ability to substitute components without disrupting classroom operations or data continuity.
Comprehensive segmentation analysis that reveals how components applications end users deployment models and connectivity choices collectively shape educational IoT value
Insightful segmentation of the IoT in education market clarifies where value accumulates and which capability combinations drive institutional adoption. From a component perspective, hardware remains central, encompassing sensors, smart boards, and wearables; sensors break down further into biometric sensors that support identity and health monitoring, environmental sensors that track air quality and ambient conditions, and proximity sensors that enable occupancy and asset tracking. Wearables span fitness bands and smart watches that can facilitate engagement and wellness monitoring. Complementing hardware, services cover consulting, integration and implementation, and support and maintenance, ensuring solutions align with pedagogical objectives and remain operational over their lifecycle. The software layer includes analytics software focused on performance tracking and predictive analytics, learning management systems that orchestrate curriculum and assessments, and security and privacy platforms that enforce governance and compliance.
Application segmentation further sharpens insight into use cases, ranging from asset management and campus security to learning analytics, smart classroom technologies, and student monitoring. Learning analytics emphasizes performance tracking and predictive analytics to enable targeted interventions, while smart classroom configurations incorporate interactive whiteboards and virtual reality solutions that augment instruction. Considering end users, the market differentiates higher education institutions-comprising colleges and universities-from K-12 environments that include primary and secondary schools, each with distinct procurement cycles, deployment scales, and pedagogical priorities. Deployment types bifurcate into cloud and on-premise approaches, influencing integration complexity and data governance models. Connectivity technologies such as Bluetooth, cellular networks spanning 4G and 5G, LPWAN implementations like LoRaWAN and Sigfox, and Wi-Fi determine latency, range, and power budgets, shaping device selection and network topology decisions. This layered segmentation underscores that successful projects arise from coherent alignment across component selection, application fit, end-user needs, deployment model, and connectivity strategy.
Regional adoption patterns reveal how infrastructure regulatory context and funding models dictate differentiated strategies for scaling connected education solutions
Regional dynamics materially affect adoption patterns and strategic priorities for connected education initiatives. In the Americas, strong institutional budgets in some segments and a history of pilot-to-scale projects catalyze deployments in smart classrooms and campus security, while procurement teams increasingly favor partnerships that deliver measurable operational efficiencies. Transitioning north-south within the region, disparities in infrastructure readiness and funding models create distinct pathways to scale that emphasize modular, low-cost sensor solutions in resource-constrained contexts.
Across Europe, Middle East & Africa, regulatory frameworks and privacy considerations play a dominant role, shaping preference for on-premise deployments and robust data governance. Here, interoperability standards and local data residency requirements influence vendor selection and integration approaches. In Asia-Pacific, rapid urbanization and strong public-sector investments in digital education encourage broad adoption of learning analytics, interactive whiteboards, and mobile-first strategies; connectivity choices often prioritize cellular and LPWAN options for wide-area coverage and scalability. Taken together, these regional profiles suggest that multinational vendors and institutional consortia should adopt differentiated go-to-market strategies that reflect funding models, regulatory environments, and the prevailing technology infrastructure in each geography.
Company-level trends showing how hardware software and service providers are differentiating through interoperability privacy focus and integrated solution offerings
Leading companies in the connected education ecosystem demonstrate convergence across hardware innovation, software intelligence, and service excellence, with several firms distinguishing themselves through vertically integrated offerings or platform-focused strategies. Hardware innovators have concentrated on robust sensor design, durable interactive classroom devices, and wearables tailored to student use, while software providers advance analytics capabilities that transform raw telemetry into pedagogical insights. Service organizations specialize in consulting and systems integration that bridge the gap between classroom objectives and enterprise IT requirements, and support providers emphasize lifecycle maintenance to protect uptime and learning continuity.
Competitive dynamics increasingly favor vendors that offer open APIs and strong partner networks, enabling faster integrations and a broader ecosystem of compatible devices and educational applications. Moreover, companies that invest in privacy-by-design and compliance tooling gain an advantage in markets with stringent data protection mandates. Strategic partnerships between hardware manufacturers, software developers, and service integrators create bundled propositions that reduce complexity for institutions. Finally, emerging players focused on niche applications-such as predictive learning analytics or low-power asset tracking-complement larger incumbents by addressing specialized needs within broader campus deployments.
Actionable strategic priorities for institutional leaders to scale secure interoperable and pedagogically aligned IoT deployments across campuses
Industry leaders can accelerate successful deployments by adopting prioritized actions that address technical, organizational, and procurement barriers. First, align pilot initiatives with clear educational outcomes and measurable success criteria so that technology decisions are driven by pedagogy rather than novelty. Next, invest in interoperable architectures and open standards to prevent vendor lock-in and to enable incremental upgrades, which supports long-term flexibility when supply chains or policy environments change. Additionally, institutions should design procurement strategies that include extended maintenance and support frameworks, thereby minimizing risk associated with hardware lifecycle disruption.
Furthermore, leaders must embed security and privacy governance into every phase of deployment, operationalizing data minimization, role-based access, and audit capabilities to maintain trust among students, parents, and staff. Capacity building is equally important; training for educators and IT teams ensures that technical investments translate into classroom impact. Finally, partner selection should prioritize vendors offering transparent roadmaps and strong professional services, enabling institutions to move beyond proof-of-concept stages to sustainable, scalable implementations that deliver demonstrable improvements in learning and operational efficiency.
Robust mixed-method research approach integrating stakeholder interviews technical validation and cross-validated capability mapping to support actionable conclusions
The research methodology combines qualitative and quantitative approaches to ensure balanced, evidence-based insights that address both technical and pedagogical dimensions. Primary research included structured interviews with procurement officers, IT leaders, instructional designers, and vendor product managers to capture firsthand perspectives on deployment challenges, integration practices, and service expectations. Secondary sources encompassed technical standards documentation, regulatory guidance, industry white papers, and vendor product specifications to validate technology capabilities and compliance trends. Triangulation across these inputs strengthened the reliability of thematic findings and highlighted recurring patterns in adoption and operational models.
Analytical techniques focused on capability mapping, use-case validation, and comparative vendor assessment to surface strengths and gaps across hardware, software, and service domains. The methodology emphasized cross-validation of claims through multiple stakeholder lenses, ensuring that technical performance assertions aligned with pedagogical utility. Sensitivity analysis around procurement and supply variables provided additional context for strategic sourcing recommendations. Throughout, the approach maintained transparency about data provenance and limitations, enabling readers to interpret recommendations within the appropriate institutional and regional contexts.
Synthesis of strategic conclusions highlighting the importance of pedagogical alignment technical governance and resilient procurement for lasting impact
In conclusion, the maturation of IoT technologies for education presents a compelling opportunity to advance learning outcomes, strengthen campus safety, and optimize operations when deployments are executed with clear pedagogical intent and rigorous technical governance. The most successful initiatives will harmonize hardware selection, analytics capabilities, and service models to create sustainable, interoperable ecosystems that adapt as institutional needs evolve. While trade policy shifts and supply chain pressures introduce complexity, they also incentivize resilient procurement and modular design practices that reduce long-term risk.
Looking ahead, institutions that prioritize open standards, privacy-first architectures, and educator-centered implementation plans will be best positioned to harness the benefits of connected classrooms and campus-wide sensor networks. Strategic vendor partnerships, combined with investment in staff capacity and robust support frameworks, will translate promising pilots into lasting institutional advantages. Ultimately, the effective integration of IoT into education hinges on the deliberate combination of pedagogical clarity, technical rigor, and adaptive procurement strategies that together ensure technology investments yield measurable improvements for students and administrators alike.
Note: PDF & Excel + Online Access - 1 Year
A concise overview of how connected devices and analytics are redefining pedagogy operations and infrastructure across educational institutions
The Internet of Things (IoT) is reshaping how educational institutions organize learning, secure campuses, and manage assets, driving an era in which sensors and connected platforms become foundational to modern pedagogy. Across classrooms and administrative operations, the convergence of hardware, software, and services empowers educators to deliver personalized instruction, improve safety protocols, and optimize facility utilization. As institutions adopt smart classroom tools, wearable devices, and analytics-driven learning management systems, they confront both new opportunities to enhance outcomes and practical challenges tied to interoperability, data protection, and sustainable deployment.
Transitioning from isolated pilots to institution-wide deployments requires deliberate planning that balances pedagogical goals with technical readiness. Decision-makers must evaluate how sensor suites, smart boards, and connected wearables will integrate with existing IT architectures and how services such as consulting, integration and support will sustain long-term operations. Furthermore, the emphasis on analytics and predictive capabilities shifts the focus from merely collecting data to unlocking actionable insights that inform instruction, attendance management, and resource allocation. In this landscape, strategic alignment between educational objectives and technology roadmaps will determine which initiatives deliver measurable improvements for students, faculty, and administrators.
How advances in connectivity sensors analytics and service delivery are converging to revolutionize classroom experiences campus safety and institutional efficiency
The landscape of education technology has experienced transformative shifts propelled by improved connectivity, advanced sensors, and more sophisticated analytics that enable real-time feedback and adaptive learning experiences. Innovations in classroom hardware like interactive boards and immersive virtual reality solutions have moved from novelty to practical tools that support differentiated instruction, while biometric and environmental sensors deliver new layers of insight into student engagement and facility conditions. Simultaneously, software stacks centered on learning management systems and analytics software have matured, emphasizing performance tracking and predictive analytics to support proactive interventions.
As these advances unfold, services have evolved to support end-to-end implementations, with consulting and integration increasingly focused on pedagogical alignment and interoperability rather than purely technical deployment. Security and privacy considerations have grown more prominent, prompting investments in robust governance and data protection practices. Moreover, the rise of edge computing and hybrid deployment architectures enables lower-latency experiences for interactive classroom technologies while offering pathways to scale through cloud-native services. Collectively, these shifts create an environment where institutions that combine pedagogical vision with disciplined technical strategy can accelerate impactful, resilient IoT-enabled education programs.
Examining the cumulative effects of recent tariff measures on procurement supply chain resilience and strategic sourcing decisions for educational IoT deployments
The imposition of tariffs and trade measures has added complexity to procurement and supply chain decisions for IoT solutions in education, influencing vendor selection, component sourcing, and total cost of ownership considerations. Tariff adjustments affecting electronics, sensors, and communications modules can lead procurement teams to re-evaluate suppliers, favor regional manufacturing partners, or extend lifecycle strategies to delay hardware refresh cycles. In response, many institutions and vendors are adopting diversified sourcing strategies and pursuing closer supplier relationships to mitigate the uncertainty introduced by tariff policy changes.
Additionally, tariff-driven cost pressures often stimulate increased emphasis on software-led value propositions and services that reduce reliance on frequent hardware replacements. This transitional response favors modular hardware designs, extended maintenance programs, and subscription-based service models that shift capital expenditure to operational expenditure. From a strategic perspective, education leaders are prioritizing interoperability and vendor-agnostic platforms to preserve flexibility in a shifting trade environment. As a result, procurement teams are placing greater weight on long-term resilience, support arrangements, and the ability to substitute components without disrupting classroom operations or data continuity.
Comprehensive segmentation analysis that reveals how components applications end users deployment models and connectivity choices collectively shape educational IoT value
Insightful segmentation of the IoT in education market clarifies where value accumulates and which capability combinations drive institutional adoption. From a component perspective, hardware remains central, encompassing sensors, smart boards, and wearables; sensors break down further into biometric sensors that support identity and health monitoring, environmental sensors that track air quality and ambient conditions, and proximity sensors that enable occupancy and asset tracking. Wearables span fitness bands and smart watches that can facilitate engagement and wellness monitoring. Complementing hardware, services cover consulting, integration and implementation, and support and maintenance, ensuring solutions align with pedagogical objectives and remain operational over their lifecycle. The software layer includes analytics software focused on performance tracking and predictive analytics, learning management systems that orchestrate curriculum and assessments, and security and privacy platforms that enforce governance and compliance.
Application segmentation further sharpens insight into use cases, ranging from asset management and campus security to learning analytics, smart classroom technologies, and student monitoring. Learning analytics emphasizes performance tracking and predictive analytics to enable targeted interventions, while smart classroom configurations incorporate interactive whiteboards and virtual reality solutions that augment instruction. Considering end users, the market differentiates higher education institutions-comprising colleges and universities-from K-12 environments that include primary and secondary schools, each with distinct procurement cycles, deployment scales, and pedagogical priorities. Deployment types bifurcate into cloud and on-premise approaches, influencing integration complexity and data governance models. Connectivity technologies such as Bluetooth, cellular networks spanning 4G and 5G, LPWAN implementations like LoRaWAN and Sigfox, and Wi-Fi determine latency, range, and power budgets, shaping device selection and network topology decisions. This layered segmentation underscores that successful projects arise from coherent alignment across component selection, application fit, end-user needs, deployment model, and connectivity strategy.
Regional adoption patterns reveal how infrastructure regulatory context and funding models dictate differentiated strategies for scaling connected education solutions
Regional dynamics materially affect adoption patterns and strategic priorities for connected education initiatives. In the Americas, strong institutional budgets in some segments and a history of pilot-to-scale projects catalyze deployments in smart classrooms and campus security, while procurement teams increasingly favor partnerships that deliver measurable operational efficiencies. Transitioning north-south within the region, disparities in infrastructure readiness and funding models create distinct pathways to scale that emphasize modular, low-cost sensor solutions in resource-constrained contexts.
Across Europe, Middle East & Africa, regulatory frameworks and privacy considerations play a dominant role, shaping preference for on-premise deployments and robust data governance. Here, interoperability standards and local data residency requirements influence vendor selection and integration approaches. In Asia-Pacific, rapid urbanization and strong public-sector investments in digital education encourage broad adoption of learning analytics, interactive whiteboards, and mobile-first strategies; connectivity choices often prioritize cellular and LPWAN options for wide-area coverage and scalability. Taken together, these regional profiles suggest that multinational vendors and institutional consortia should adopt differentiated go-to-market strategies that reflect funding models, regulatory environments, and the prevailing technology infrastructure in each geography.
Company-level trends showing how hardware software and service providers are differentiating through interoperability privacy focus and integrated solution offerings
Leading companies in the connected education ecosystem demonstrate convergence across hardware innovation, software intelligence, and service excellence, with several firms distinguishing themselves through vertically integrated offerings or platform-focused strategies. Hardware innovators have concentrated on robust sensor design, durable interactive classroom devices, and wearables tailored to student use, while software providers advance analytics capabilities that transform raw telemetry into pedagogical insights. Service organizations specialize in consulting and systems integration that bridge the gap between classroom objectives and enterprise IT requirements, and support providers emphasize lifecycle maintenance to protect uptime and learning continuity.
Competitive dynamics increasingly favor vendors that offer open APIs and strong partner networks, enabling faster integrations and a broader ecosystem of compatible devices and educational applications. Moreover, companies that invest in privacy-by-design and compliance tooling gain an advantage in markets with stringent data protection mandates. Strategic partnerships between hardware manufacturers, software developers, and service integrators create bundled propositions that reduce complexity for institutions. Finally, emerging players focused on niche applications-such as predictive learning analytics or low-power asset tracking-complement larger incumbents by addressing specialized needs within broader campus deployments.
Actionable strategic priorities for institutional leaders to scale secure interoperable and pedagogically aligned IoT deployments across campuses
Industry leaders can accelerate successful deployments by adopting prioritized actions that address technical, organizational, and procurement barriers. First, align pilot initiatives with clear educational outcomes and measurable success criteria so that technology decisions are driven by pedagogy rather than novelty. Next, invest in interoperable architectures and open standards to prevent vendor lock-in and to enable incremental upgrades, which supports long-term flexibility when supply chains or policy environments change. Additionally, institutions should design procurement strategies that include extended maintenance and support frameworks, thereby minimizing risk associated with hardware lifecycle disruption.
Furthermore, leaders must embed security and privacy governance into every phase of deployment, operationalizing data minimization, role-based access, and audit capabilities to maintain trust among students, parents, and staff. Capacity building is equally important; training for educators and IT teams ensures that technical investments translate into classroom impact. Finally, partner selection should prioritize vendors offering transparent roadmaps and strong professional services, enabling institutions to move beyond proof-of-concept stages to sustainable, scalable implementations that deliver demonstrable improvements in learning and operational efficiency.
Robust mixed-method research approach integrating stakeholder interviews technical validation and cross-validated capability mapping to support actionable conclusions
The research methodology combines qualitative and quantitative approaches to ensure balanced, evidence-based insights that address both technical and pedagogical dimensions. Primary research included structured interviews with procurement officers, IT leaders, instructional designers, and vendor product managers to capture firsthand perspectives on deployment challenges, integration practices, and service expectations. Secondary sources encompassed technical standards documentation, regulatory guidance, industry white papers, and vendor product specifications to validate technology capabilities and compliance trends. Triangulation across these inputs strengthened the reliability of thematic findings and highlighted recurring patterns in adoption and operational models.
Analytical techniques focused on capability mapping, use-case validation, and comparative vendor assessment to surface strengths and gaps across hardware, software, and service domains. The methodology emphasized cross-validation of claims through multiple stakeholder lenses, ensuring that technical performance assertions aligned with pedagogical utility. Sensitivity analysis around procurement and supply variables provided additional context for strategic sourcing recommendations. Throughout, the approach maintained transparency about data provenance and limitations, enabling readers to interpret recommendations within the appropriate institutional and regional contexts.
Synthesis of strategic conclusions highlighting the importance of pedagogical alignment technical governance and resilient procurement for lasting impact
In conclusion, the maturation of IoT technologies for education presents a compelling opportunity to advance learning outcomes, strengthen campus safety, and optimize operations when deployments are executed with clear pedagogical intent and rigorous technical governance. The most successful initiatives will harmonize hardware selection, analytics capabilities, and service models to create sustainable, interoperable ecosystems that adapt as institutional needs evolve. While trade policy shifts and supply chain pressures introduce complexity, they also incentivize resilient procurement and modular design practices that reduce long-term risk.
Looking ahead, institutions that prioritize open standards, privacy-first architectures, and educator-centered implementation plans will be best positioned to harness the benefits of connected classrooms and campus-wide sensor networks. Strategic vendor partnerships, combined with investment in staff capacity and robust support frameworks, will translate promising pilots into lasting institutional advantages. Ultimately, the effective integration of IoT into education hinges on the deliberate combination of pedagogical clarity, technical rigor, and adaptive procurement strategies that together ensure technology investments yield measurable improvements for students and administrators alike.
Note: PDF & Excel + Online Access - 1 Year
Table of Contents
196 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. Deployment of energy management systems via IoT sensors to reduce campus carbon footprint
- 5.2. Adoption of wearable biometric devices for real-time monitoring of student health metrics
- 5.3. Implementation of connected smart board solutions with remote access and collaborative tools
- 5.4. Use of edge computing architectures for low-latency processing in immersive VR learning labs
- 5.5. Integration of IoT-enabled asset tracking to optimize management of school equipment and resources
- 5.6. Scalable deployment of 5G-enabled IoT networks for enhanced high-definition remote learning experiences
- 5.7. Deployment of predictive maintenance platforms using IoT data to minimize smart campus infrastructure downtime
- 6. Cumulative Impact of United States Tariffs 2025
- 7. Cumulative Impact of Artificial Intelligence 2025
- 8. Internet of Things in Education Market, by Component
- 8.1. Hardware
- 8.1.1. Sensors
- 8.1.1.1. Biometric Sensors
- 8.1.1.2. Environmental Sensors
- 8.1.1.3. Proximity Sensors
- 8.1.2. Smart Boards
- 8.1.3. Wearables
- 8.1.3.1. Fitness Bands
- 8.1.3.2. Smart Watches
- 8.2. Services
- 8.2.1. Consulting
- 8.2.2. Integration And Implementation
- 8.2.3. Support And Maintenance
- 8.3. Software
- 8.3.1. Analytics Software
- 8.3.1.1. Performance Tracking
- 8.3.1.2. Predictive Analytics
- 8.3.2. Learning Management System
- 8.3.3. Security And Privacy
- 9. Internet of Things in Education Market, by Deployment Type
- 9.1. Cloud
- 9.2. On-Premise
- 10. Internet of Things in Education Market, by Connectivity Technology
- 10.1. Bluetooth
- 10.2. Cellular
- 10.2.1. 4G
- 10.2.2. 5G
- 10.3. LPWAN
- 10.3.1. LoRaWAN
- 10.3.2. Sigfox
- 10.4. Wi-Fi
- 11. Internet of Things in Education Market, by Application
- 11.1. Asset Management
- 11.2. Campus Security
- 11.3. Learning Analytics
- 11.3.1. Performance Tracking
- 11.3.2. Predictive Analytics
- 11.4. Smart Classroom
- 11.4.1. Interactive Whiteboards
- 11.4.2. Virtual Reality Solutions
- 11.5. Student Monitoring
- 12. Internet of Things in Education 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. Internet of Things in Education Market, by Group
- 13.1. ASEAN
- 13.2. GCC
- 13.3. European Union
- 13.4. BRICS
- 13.5. G7
- 13.6. NATO
- 14. Internet of Things in Education 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. Actility, SA
- 15.3.2. Alphabet Inc.
- 15.3.3. Amazon Web Services, Inc.
- 15.3.4. Brightly Software, Inc.
- 15.3.5. Cisco Systems, Inc.
- 15.3.6. Dell Technologies Inc.
- 15.3.7. Energyworx
- 15.3.8. Hewlett Packard Enterprise Company
- 15.3.9. Honeywell International Inc.
- 15.3.10. Intel Corporation
- 15.3.11. International Business Machines Corporation
- 15.3.12. Itron Inc.
- 15.3.13. Landis+Gyr AG
- 15.3.14. LeewayHertz
- 15.3.15. Microsoft Corporation
- 15.3.16. Oracle
- 15.3.17. PTC Inc.
- 15.3.18. Rayven Ltd.
- 15.3.19. Saviant
- 15.3.20. Semtech Corporation
- 15.3.21. Siemens AG
- 15.3.22. Telenor Connexion AB
- 15.3.23. Telit
- 15.3.24. Trimble Inc.
- 15.3.25. Verizon
- 15.3.26. WAVIoT Integrated Systems LLC
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