AR in Education Market by Component (Hardware, Services, Software), Application (Assessment, Classroom Learning, Language Learning), End User, Deployment Mode - Global Forecast 2025-2032
Description
The AR in Education Market was valued at USD 2.98 billion in 2024 and is projected to grow to USD 3.93 billion in 2025, with a CAGR of 32.85%, reaching USD 28.95 billion by 2032.
A concise strategic introduction outlining how augmented reality is redefining pedagogy, institutional priorities, and implementation imperatives across educational environments
Augmented reality (AR) is transitioning from a novel classroom demo to a foundational technology that reshapes how educators design learning experiences and how learners access content. As immersive interfaces become more affordable and content-authoring tools more accessible, educational institutions are rethinking curricula, assessment strategies, and infrastructure roadmaps to incorporate experiential learning modalities. This introduction synthesizes the strategic context, adoption motivators, and practical considerations that decision-makers should weigh when planning AR initiatives across K-12 and higher education settings.
Early adopters are demonstrating that AR can deepen engagement, enable personalized learning pathways, and create repeatable simulations for skills that are difficult to teach through traditional methods. However, realizing these benefits requires aligning pedagogy with technology, ensuring interoperability between devices and platforms, and building support frameworks for educators. Therefore, institutional leaders must balance visionary ambitions with operational readiness, considering hardware selection, software tooling for content creation, and the services required for integration and long-term maintenance.
Emerging technological and institutional shifts that are unlocking scalable augmented reality use cases and reshaping classroom technology strategies for deeper learning outcomes
The landscape for AR in education is undergoing transformative shifts driven by technological maturation, curriculum innovation, and evolving workforce demands. Advances in head-mounted displays and lightweight smart glasses are lowering barriers to classroom integration, while improved authoring tools and visualization platforms are enabling educators to create context-rich lessons without deep programming expertise. As a result, learning designers are experimenting with blended delivery models that combine AR-enhanced sessions with traditional instruction to reinforce concepts and assess competency in authentic scenarios.
Concurrently, the rise of cloud-native deployment patterns and edge computing is changing how institutions manage content distribution, device management, and data privacy. Cloud options offer scalability and centralized content pipelines, whereas on-premise deployments appeal to institutions with strict data governance requirements or limited connectivity. This divergence is prompting vendors to offer modular solutions that support hybrid deployments, enabling IT leaders to phase in AR initiatives while preserving legacy systems. Taken together, these shifts encourage a phased, evidence-based adoption approach that prioritizes pedagogical outcomes, educator training, and robust support services.
Analytical overview of how 2025 U.S. tariff changes influence procurement, supply chains, and vendor strategies for educational augmented reality deployments
United States tariff policy changes in 2025 exert a multifaceted influence on the AR education ecosystem, particularly through cost dynamics, supply chain reconfiguration, and vendor sourcing strategies. Increased import duties on specific hardware components, display modules, or finished head-mounted devices can elevate acquisition costs for schools and universities, prompting procurement teams to reassess vendor selections and total cost of ownership. In response, institutional buyers may prioritize suppliers with diversified manufacturing footprints or those that manufacture regionally to mitigate tariff exposure.
Moreover, tariffs can accelerate strategic partnerships between educational purchasers and service providers that bundle hardware, software, and long-term maintenance to smooth budgetary impacts. Vendors may respond by localizing assembly or establishing component supply agreements to avoid higher duty rates, which could, in turn, lead to longer lead times during transition periods. Another consequential effect is an increased emphasis on software-centric models; as hardware costs fluctuate, institutions may invest more in cloud-hosted content, visualization platforms, and authoring tools that extend the lifecycle and pedagogical value of existing devices. Ultimately, tariff-induced shifts underscore the need for procurement agility, contractual flexibility, and proactive vendor risk management to sustain AR initiatives in educational settings.
Comprehensive segmentation-driven insights that link hardware, software, services, deployment modes, applications, and end-user needs to practical adoption strategies
Understanding the market through segmentation yields practical insights for product design, sales engagement, and implementation planning. Based on component, the market is studied across hardware, services, and software; hardware further differentiates into head-mounted displays and smart glasses, services break down into consulting, integration, and maintenance and support, and software comprises AR content authoring tools, assessment software, and visualization platforms. This component-level view highlights where value accrues: hardware vendors must optimize ergonomics and battery life for classroom use, service providers should emphasize teacher onboarding and systems integration, and software developers need to ensure content-authoring workflows are intuitive for educators while supporting robust assessment capabilities.
Based on deployment mode, the market is studied across cloud and on-premise; the cloud further divides into private cloud and public cloud, while on-premise includes data center deployment and local server options. Deployment choices influence operational responsibilities and integration complexity, with cloud deployments offering centralized content management and simplified updates, and on-premise options appealing to institutions with strict data sovereignty or offline requirements. Based on application, the market is studied across assessment, classroom learning, language learning, STEM training, and virtual laboratory scenarios. These applications underline that AR’s pedagogical value varies by instructional objective, with assessment and virtual laboratory experiences often demanding higher-fidelity interactions and rigorous validation mechanisms. Based on end user, the market is studied across higher education and K-12; higher education further differentiates into private universities and public universities, and K-12 segments into private schools and public schools. Each end-user segment brings distinct procurement cycles, budget structures, and pedagogical priorities, requiring vendors to tailor value propositions, support models, and pricing strategies accordingly.
Collectively, these segmentation perspectives clarify where investment in product features, professional services, and deployment flexibility will generate the greatest adoption lift and sustained impact across diverse educational contexts.
Regional adoption patterns and operational imperatives across the Americas, Europe Middle East & Africa, and Asia-Pacific that determine scalable success for educational augmented reality
Regional dynamics materially shape adoption patterns, procurement behavior, and vendor strategies for AR in education. In the Americas, institutional procurement often centers on demonstrable learning outcomes and scalable pilot programs, with districts and universities seeking turnkey solutions that minimize IT overhead. This fosters demand for vendors that can provide robust service packages, teacher training, and responsive support networks, while also requiring attention to equity in device distribution and broadband access for remote or underserved communities.
Europe, the Middle East & Africa presents a heterogeneous landscape where regulatory considerations, language diversity, and public procurement frameworks influence solution design and go-to-market approaches. Privacy and data protection standards drive interest in on-premise or private cloud deployments, whereas multi-language content and culturally adaptive curricula are essential for cross-border scalability. Vendors that can demonstrate compliance expertise and local partnerships gain advantage in navigating complex procurement ecosystems.
In Asia-Pacific, rapid technology adoption, strong governmental support for educational innovation, and a large population of digitally native students create fertile ground for AR pilots that scale quickly. However, the region’s diversity in infrastructure maturity and procurement models means that scalable solutions must accommodate both high-end universities and resource-constrained public schools. Consequently, flexible pricing models, lightweight hardware options, and offline-capable content distribution mechanisms are critical for broad adoption across Asia-Pacific markets.
Across all regions, vendors and institutions should coordinate on interoperability standards, educator enablement programs, and data governance practices to ensure solutions deliver pedagogical value while meeting local regulatory and operational requirements.
Competitive company dynamics emphasizing modular product design, ecosystem partnerships, and services-centric approaches to accelerate AR adoption in education
A close examination of leading companies and competitive dynamics reveals core themes that shape the AR education ecosystem: product modularity, ecosystem partnerships, and services-led engagement. Market leaders increasingly pursue modular offerings that combine ergonomic hardware, cloud-enabled management, and content-authoring platforms to lower barriers for educators. Partnerships with content creators, curriculum specialists, and systems integrators are becoming central to value propositions, enabling vendors to present end-to-end solutions rather than point products.
At the same time, specialized service providers that focus on teacher professional development, curriculum alignment, and long-term support are gaining traction as institutions recognize that technology adoption is fundamentally a change management process. Companies that can offer proof points around pedagogical impact, seamless interoperability with existing learning management systems, and flexible deployment modes are better positioned to win procurement cycles. Additionally, developers of assessment software and visualization platforms play a strategic role by enabling measurable learning outcomes and integrating AR interactions into broader evaluation frameworks. In sum, company strategies that balance innovative hardware design with strong software ecosystems and comprehensive services are most likely to achieve sustained traction in education markets.
Actionable recommendations for leaders to pilot, procure, integrate, and govern augmented reality initiatives that deliver measurable pedagogical outcomes and operational resilience
Industry leaders and institutional decision-makers should pursue targeted actions to translate AR potential into measurable educational gains. First, align pilot initiatives with clear instructional goals and assessment metrics so that early deployments produce actionable evidence about engagement and learning outcomes. Pilots should prioritize teacher onboarding and iterative content development, ensuring educators can adapt materials quickly and evaluate impact. Second, adopt a flexible procurement strategy that favors total-cost-of-ownership analyses and vendor contracts that include maintenance, training, and upgrades to reduce long-term risk.
Third, invest in interoperable systems and open standards to prevent vendor lock-in and to facilitate integration with learning management systems, student information systems, and analytics platforms. Fourth, build partnerships with curriculum specialists and assessment experts to ensure AR experiences map directly to learning objectives and accreditation requirements. Fifth, address equity concerns proactively by piloting device distribution models and offline content delivery to serve students with limited connectivity. Finally, develop clear governance protocols for data privacy, consent, and device management to maintain trust among stakeholders. By following these steps, institutional leaders and vendors can accelerate adoption while managing cost, compliance, and pedagogical integrity.
A rigorous mixed-methods research approach combining stakeholder interviews, document review, case studies, and scenario analysis to derive actionable educational AR insights
The research methodology for this analysis combines qualitative and quantitative approaches to ensure a robust, practitioner-oriented perspective. Primary research included structured interviews and consultations with educators, IT leaders, procurement officers, vendors, and solution integrators to capture real-world deployment experiences, pain points, and success factors. Secondary research involved an exhaustive review of academic studies, white papers, vendor documentation, technical specifications, and public policy releases to contextualize technological trends and regulatory drivers.
Analysts synthesized findings through thematic coding to identify recurring patterns across deployment models, pedagogical applications, and vendor strategies. Case studies were developed to illustrate implementation pathways and to highlight decisions that influenced adoption timelines and outcomes. Where appropriate, scenario analysis was used to explore the operational implications of external influences such as tariff changes and regional regulatory shifts. Throughout the methodology, emphasis was placed on triangulating stakeholder perspectives with documented evidence to produce practical, action-oriented insights for institutional leaders and vendors seeking to implement AR in educational contexts.
Synthesis of strategic imperatives and operational prerequisites that position augmented reality to deliver sustained pedagogical value and equitable access across educational institutions
In conclusion, augmented reality represents a substantial opportunity to enrich pedagogy, enhance student engagement, and offer repeatable simulations for skills that are difficult to teach in conventional classrooms. Realizing this potential requires a careful alignment of technology, pedagogy, and operational capabilities. Devices and platforms must be chosen not for their novelty but for their fit with curricular goals, educator workflows, and long-term support arrangements. Equally important is the adoption of procurement and governance practices that address cost volatility, supply-chain disruptions, and data protection requirements.
As institutions move from experimentation to scale, the landscape will reward vendors that provide modular, interoperable solutions coupled with strong services for integration and teacher training. Regional variations in procurement norms, regulatory constraints, and infrastructure capacity will demand tailored approaches rather than one-size-fits-all rollouts. By focusing on measurable learning outcomes, equitable access, and sustainable support models, educational leaders can harness AR to create more active, context-rich, and assessment-aligned learning environments that better prepare learners for complex, practice-based disciplines.
Note: PDF & Excel + Online Access - 1 Year
A concise strategic introduction outlining how augmented reality is redefining pedagogy, institutional priorities, and implementation imperatives across educational environments
Augmented reality (AR) is transitioning from a novel classroom demo to a foundational technology that reshapes how educators design learning experiences and how learners access content. As immersive interfaces become more affordable and content-authoring tools more accessible, educational institutions are rethinking curricula, assessment strategies, and infrastructure roadmaps to incorporate experiential learning modalities. This introduction synthesizes the strategic context, adoption motivators, and practical considerations that decision-makers should weigh when planning AR initiatives across K-12 and higher education settings.
Early adopters are demonstrating that AR can deepen engagement, enable personalized learning pathways, and create repeatable simulations for skills that are difficult to teach through traditional methods. However, realizing these benefits requires aligning pedagogy with technology, ensuring interoperability between devices and platforms, and building support frameworks for educators. Therefore, institutional leaders must balance visionary ambitions with operational readiness, considering hardware selection, software tooling for content creation, and the services required for integration and long-term maintenance.
Emerging technological and institutional shifts that are unlocking scalable augmented reality use cases and reshaping classroom technology strategies for deeper learning outcomes
The landscape for AR in education is undergoing transformative shifts driven by technological maturation, curriculum innovation, and evolving workforce demands. Advances in head-mounted displays and lightweight smart glasses are lowering barriers to classroom integration, while improved authoring tools and visualization platforms are enabling educators to create context-rich lessons without deep programming expertise. As a result, learning designers are experimenting with blended delivery models that combine AR-enhanced sessions with traditional instruction to reinforce concepts and assess competency in authentic scenarios.
Concurrently, the rise of cloud-native deployment patterns and edge computing is changing how institutions manage content distribution, device management, and data privacy. Cloud options offer scalability and centralized content pipelines, whereas on-premise deployments appeal to institutions with strict data governance requirements or limited connectivity. This divergence is prompting vendors to offer modular solutions that support hybrid deployments, enabling IT leaders to phase in AR initiatives while preserving legacy systems. Taken together, these shifts encourage a phased, evidence-based adoption approach that prioritizes pedagogical outcomes, educator training, and robust support services.
Analytical overview of how 2025 U.S. tariff changes influence procurement, supply chains, and vendor strategies for educational augmented reality deployments
United States tariff policy changes in 2025 exert a multifaceted influence on the AR education ecosystem, particularly through cost dynamics, supply chain reconfiguration, and vendor sourcing strategies. Increased import duties on specific hardware components, display modules, or finished head-mounted devices can elevate acquisition costs for schools and universities, prompting procurement teams to reassess vendor selections and total cost of ownership. In response, institutional buyers may prioritize suppliers with diversified manufacturing footprints or those that manufacture regionally to mitigate tariff exposure.
Moreover, tariffs can accelerate strategic partnerships between educational purchasers and service providers that bundle hardware, software, and long-term maintenance to smooth budgetary impacts. Vendors may respond by localizing assembly or establishing component supply agreements to avoid higher duty rates, which could, in turn, lead to longer lead times during transition periods. Another consequential effect is an increased emphasis on software-centric models; as hardware costs fluctuate, institutions may invest more in cloud-hosted content, visualization platforms, and authoring tools that extend the lifecycle and pedagogical value of existing devices. Ultimately, tariff-induced shifts underscore the need for procurement agility, contractual flexibility, and proactive vendor risk management to sustain AR initiatives in educational settings.
Comprehensive segmentation-driven insights that link hardware, software, services, deployment modes, applications, and end-user needs to practical adoption strategies
Understanding the market through segmentation yields practical insights for product design, sales engagement, and implementation planning. Based on component, the market is studied across hardware, services, and software; hardware further differentiates into head-mounted displays and smart glasses, services break down into consulting, integration, and maintenance and support, and software comprises AR content authoring tools, assessment software, and visualization platforms. This component-level view highlights where value accrues: hardware vendors must optimize ergonomics and battery life for classroom use, service providers should emphasize teacher onboarding and systems integration, and software developers need to ensure content-authoring workflows are intuitive for educators while supporting robust assessment capabilities.
Based on deployment mode, the market is studied across cloud and on-premise; the cloud further divides into private cloud and public cloud, while on-premise includes data center deployment and local server options. Deployment choices influence operational responsibilities and integration complexity, with cloud deployments offering centralized content management and simplified updates, and on-premise options appealing to institutions with strict data sovereignty or offline requirements. Based on application, the market is studied across assessment, classroom learning, language learning, STEM training, and virtual laboratory scenarios. These applications underline that AR’s pedagogical value varies by instructional objective, with assessment and virtual laboratory experiences often demanding higher-fidelity interactions and rigorous validation mechanisms. Based on end user, the market is studied across higher education and K-12; higher education further differentiates into private universities and public universities, and K-12 segments into private schools and public schools. Each end-user segment brings distinct procurement cycles, budget structures, and pedagogical priorities, requiring vendors to tailor value propositions, support models, and pricing strategies accordingly.
Collectively, these segmentation perspectives clarify where investment in product features, professional services, and deployment flexibility will generate the greatest adoption lift and sustained impact across diverse educational contexts.
Regional adoption patterns and operational imperatives across the Americas, Europe Middle East & Africa, and Asia-Pacific that determine scalable success for educational augmented reality
Regional dynamics materially shape adoption patterns, procurement behavior, and vendor strategies for AR in education. In the Americas, institutional procurement often centers on demonstrable learning outcomes and scalable pilot programs, with districts and universities seeking turnkey solutions that minimize IT overhead. This fosters demand for vendors that can provide robust service packages, teacher training, and responsive support networks, while also requiring attention to equity in device distribution and broadband access for remote or underserved communities.
Europe, the Middle East & Africa presents a heterogeneous landscape where regulatory considerations, language diversity, and public procurement frameworks influence solution design and go-to-market approaches. Privacy and data protection standards drive interest in on-premise or private cloud deployments, whereas multi-language content and culturally adaptive curricula are essential for cross-border scalability. Vendors that can demonstrate compliance expertise and local partnerships gain advantage in navigating complex procurement ecosystems.
In Asia-Pacific, rapid technology adoption, strong governmental support for educational innovation, and a large population of digitally native students create fertile ground for AR pilots that scale quickly. However, the region’s diversity in infrastructure maturity and procurement models means that scalable solutions must accommodate both high-end universities and resource-constrained public schools. Consequently, flexible pricing models, lightweight hardware options, and offline-capable content distribution mechanisms are critical for broad adoption across Asia-Pacific markets.
Across all regions, vendors and institutions should coordinate on interoperability standards, educator enablement programs, and data governance practices to ensure solutions deliver pedagogical value while meeting local regulatory and operational requirements.
Competitive company dynamics emphasizing modular product design, ecosystem partnerships, and services-centric approaches to accelerate AR adoption in education
A close examination of leading companies and competitive dynamics reveals core themes that shape the AR education ecosystem: product modularity, ecosystem partnerships, and services-led engagement. Market leaders increasingly pursue modular offerings that combine ergonomic hardware, cloud-enabled management, and content-authoring platforms to lower barriers for educators. Partnerships with content creators, curriculum specialists, and systems integrators are becoming central to value propositions, enabling vendors to present end-to-end solutions rather than point products.
At the same time, specialized service providers that focus on teacher professional development, curriculum alignment, and long-term support are gaining traction as institutions recognize that technology adoption is fundamentally a change management process. Companies that can offer proof points around pedagogical impact, seamless interoperability with existing learning management systems, and flexible deployment modes are better positioned to win procurement cycles. Additionally, developers of assessment software and visualization platforms play a strategic role by enabling measurable learning outcomes and integrating AR interactions into broader evaluation frameworks. In sum, company strategies that balance innovative hardware design with strong software ecosystems and comprehensive services are most likely to achieve sustained traction in education markets.
Actionable recommendations for leaders to pilot, procure, integrate, and govern augmented reality initiatives that deliver measurable pedagogical outcomes and operational resilience
Industry leaders and institutional decision-makers should pursue targeted actions to translate AR potential into measurable educational gains. First, align pilot initiatives with clear instructional goals and assessment metrics so that early deployments produce actionable evidence about engagement and learning outcomes. Pilots should prioritize teacher onboarding and iterative content development, ensuring educators can adapt materials quickly and evaluate impact. Second, adopt a flexible procurement strategy that favors total-cost-of-ownership analyses and vendor contracts that include maintenance, training, and upgrades to reduce long-term risk.
Third, invest in interoperable systems and open standards to prevent vendor lock-in and to facilitate integration with learning management systems, student information systems, and analytics platforms. Fourth, build partnerships with curriculum specialists and assessment experts to ensure AR experiences map directly to learning objectives and accreditation requirements. Fifth, address equity concerns proactively by piloting device distribution models and offline content delivery to serve students with limited connectivity. Finally, develop clear governance protocols for data privacy, consent, and device management to maintain trust among stakeholders. By following these steps, institutional leaders and vendors can accelerate adoption while managing cost, compliance, and pedagogical integrity.
A rigorous mixed-methods research approach combining stakeholder interviews, document review, case studies, and scenario analysis to derive actionable educational AR insights
The research methodology for this analysis combines qualitative and quantitative approaches to ensure a robust, practitioner-oriented perspective. Primary research included structured interviews and consultations with educators, IT leaders, procurement officers, vendors, and solution integrators to capture real-world deployment experiences, pain points, and success factors. Secondary research involved an exhaustive review of academic studies, white papers, vendor documentation, technical specifications, and public policy releases to contextualize technological trends and regulatory drivers.
Analysts synthesized findings through thematic coding to identify recurring patterns across deployment models, pedagogical applications, and vendor strategies. Case studies were developed to illustrate implementation pathways and to highlight decisions that influenced adoption timelines and outcomes. Where appropriate, scenario analysis was used to explore the operational implications of external influences such as tariff changes and regional regulatory shifts. Throughout the methodology, emphasis was placed on triangulating stakeholder perspectives with documented evidence to produce practical, action-oriented insights for institutional leaders and vendors seeking to implement AR in educational contexts.
Synthesis of strategic imperatives and operational prerequisites that position augmented reality to deliver sustained pedagogical value and equitable access across educational institutions
In conclusion, augmented reality represents a substantial opportunity to enrich pedagogy, enhance student engagement, and offer repeatable simulations for skills that are difficult to teach in conventional classrooms. Realizing this potential requires a careful alignment of technology, pedagogy, and operational capabilities. Devices and platforms must be chosen not for their novelty but for their fit with curricular goals, educator workflows, and long-term support arrangements. Equally important is the adoption of procurement and governance practices that address cost volatility, supply-chain disruptions, and data protection requirements.
As institutions move from experimentation to scale, the landscape will reward vendors that provide modular, interoperable solutions coupled with strong services for integration and teacher training. Regional variations in procurement norms, regulatory constraints, and infrastructure capacity will demand tailored approaches rather than one-size-fits-all rollouts. By focusing on measurable learning outcomes, equitable access, and sustainable support models, educational leaders can harness AR to create more active, context-rich, and assessment-aligned learning environments that better prepare learners for complex, practice-based disciplines.
Note: PDF & Excel + Online Access - 1 Year
Table of Contents
189 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. Implementation of AR-powered virtual laboratories for hands-on STEM experimentation in secondary schools
- 5.2. Adoption of markerless AR applications for interactive language learning and vocabulary retention in elementary education
- 5.3. Development of collaborative AR environments enabling real-time group problem solving and peer-to-peer learning in classrooms
- 5.4. Integration of AR-based field trip simulations to deliver cultural and historical experiences within K-12 curricula
- 5.5. Utilization of AI-driven adaptive AR tutoring systems to personalize mathematics and science instruction at scale
- 6. Cumulative Impact of United States Tariffs 2025
- 7. Cumulative Impact of Artificial Intelligence 2025
- 8. AR in Education Market, by Component
- 8.1. Hardware
- 8.1.1. Head Mounted Display
- 8.1.2. Smart Glasses
- 8.2. Services
- 8.2.1. Consulting
- 8.2.2. Integration
- 8.2.3. Maintenance & Support
- 8.3. Software
- 8.3.1. Ar Content Authoring Tools
- 8.3.2. Assessment Software
- 8.3.3. Visualization Platforms
- 9. AR in Education Market, by Application
- 9.1. Assessment
- 9.2. Classroom Learning
- 9.3. Language Learning
- 9.4. Stem Training
- 9.5. Virtual Laboratory
- 10. AR in Education Market, by End User
- 10.1. Higher Education
- 10.1.1. Private Universities
- 10.1.2. Public Universities
- 10.2. K-12
- 10.2.1. Private Schools
- 10.2.2. Public Schools
- 11. AR in Education Market, by Deployment Mode
- 11.1. Cloud
- 11.1.1. Private Cloud
- 11.1.2. Public Cloud
- 11.2. On-Premise
- 11.2.1. Data Center Deployment
- 11.2.2. Local Server
- 12. AR 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. AR 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. AR 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. 3D4Medical, Ltd.
- 15.3.2. Apple Inc.
- 15.3.3. Baidu, Inc.
- 15.3.4. EON Reality, Inc.
- 15.3.5. Google LLC by Alphabet Inc.
- 15.3.6. HP Inc.
- 15.3.7. HTC Corporation
- 15.3.8. Immersion Corporation
- 15.3.9. Lenovo Group Limited
- 15.3.10. Magic Leap, Inc.
- 15.3.11. Meta Platforms, Inc.
- 15.3.12. Microsoft Corporation
- 15.3.13. Niantic, Inc.
- 15.3.14. PICO Immersive Pte.ltd.
- 15.3.15. PTC, Inc.
- 15.3.16. Qualcomm Technologies, Inc.
- 15.3.17. Samsung Electronics Co., Ltd.
- 15.3.18. Seiko Epson Corporation
- 15.3.19. Snap Inc.
- 15.3.20. Sony Group Corporation
- 15.3.21. Ultraleap Limited
- 15.3.22. Zappar Limited
- 15.3.23. zSpace, Inc.
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