교육용 로봇 시장 : 시장 점유율 분석, 산업 동향, 통계, 성장 예측(2025-2030년)

The educational robot market size stands at USD 1.8 billion in 2025 and is forecast to reach USD 3.98 billion by 2030, reflecting a brisk 17.2% CAGR during the period.

Rapid integration of large-language-model AI is turning classroom robots into adaptive learning companions that adjust content and pacing in real time. Hardware prices are falling-especially for China-sourced servomotors and sensors-broadening access for budget-constrained schools. Policymakers in East Asia, Europe, and North America are embedding robotics in national STEM agendas, creating assured demand pipelines. Meanwhile, venture capital is flowing to startups that target special education, multilingual content gaps, or Robots-as-a-Service models, reshaping competitive dynamics.

Global Educational Robot Market Trends and Insights

Adoption of AI-enabled Social Robots for Early-Childhood Language Tutoring in East Asia

Robots equipped with large-language-model NLP engines now deliver culturally adaptive language lessons that correct pronunciation in real time and adjust difficulty based on a child's emotional cues. Controlled studies record 28% faster vocabulary gains and 34% higher retention than teacher-led drills. Publishers are porting the same hardware to multiple languages simply by flashing new AI models, enabling manufacturers to chase diverse markets without redesign costs. This scalability is enticing investors and encouraging local governments to subsidize classroom deployments, thereby reinforcing the growth loop for the educational robot market. Suppliers that bundle curriculum-aligned analytics dashboards are capturing premium pricing because schools value quantifiable progress tracking.

Mandatory Robotics Curriculum in K-12 Schools across Europe

European ministries of education now require robotics competencies throughout primary and secondary grades, which has turned sporadic pilot programs into line-item budget allocations. Schools increasingly solicit robots that can both teach and assess, prompting vendors to integrate secure data-collection modules that record student interactions and auto-grade tasks. Hardware differentiation is fading; instead, content depth, teacher-training packages and GDPR-compliant cloud architectures decide contract awards. The policy shift is also inspiring curriculum publishers to co-develop lesson plans with robot makers, tightening ecosystem lock-in and raising switching costs for institutions.

High Failure Rates of Battery Packs in Continuous Classroom Use

In tropical climates, lithium-ion degradation accelerates, with 38% of packs failing within a year under classroom load. Break-fix cycles strain school budgets and disrupt lesson plans, dampening purchase enthusiasm. Suppliers respond with hybrid power architectures that switch to direct current when docks are available and with passive cooling housings to dissipate heat. Battery-swap designs are emerging as a procurement criterion, especially in government tenders that stipulate five-year life-cycle costs. Companies that certify cells for 45 °C environments gain a competitive edge.

Other drivers and restraints analyzed in the detailed report include:

1. Government-Funded STEM Initiatives Fueling University Procurement
2. Falling ASP of Education-grade Servo Motors & Sensors in China
3. Limited Multilingual Content Libraries for Humanoid Robots

For complete list of drivers and restraints, kindly check the Table Of Contents.

Segment Analysis

Non-humanoid models retained 68% of the educational robot market in 2024, a position earned through rugged simplicity and entry-level pricing. Classroom favorites such as the Code & Go Mouse withstand daily handling and fulfill coding-concept objectives at scale. Yet, humanoid platforms are accelerating at a 23.4% CAGR as schools observe stronger engagement, especially in autism programs. Early adopters report higher attention spans when robots mirror emotions via facial LEDs and compliant joints. The educational robot market size for humanoids is therefore forecast to close part of the gap as falling part costs narrow the price delta.

Large-language-model integration lets humanoids deliver unscripted dialogue and dynamic feedback. A 2025 pilot using the Duet system linked proficiency scores to facial-recognition-derived engagement metrics, enabling teachers to intervene only when needed. Suppliers now ship humanoids with plug-in curricula for language, social-emotional learning, and special-needs therapy. Although capital costs remain higher, financing schemes such as Robots-as-a-Service lower adoption barriers, positioning humanoids for rapid share gains in niche, high-impact settings.

Hardware accounted for 74% of 2024 revenue due to the tangible nature of robots-chassis, sensors, processors and power systems remain indispensable. Component innovation centers on compact AI accelerators and low-cost servos that reduce bill-of-materials outlays. Simultaneously, the services segment is growing at 25% CAGR as schools pivot to subscription bundles covering maintenance, software updates and teacher training. Vendors highlight predictable budgeting and continual feature refreshes to justify monthly fees.

Software, while a smaller slice, is the value engine: adaptive-learning algorithms, cloud analytics and compliance modules now decide procurement. As a result, hardware margins compress, and firms bundle lifetime software licences or pivot entirely to service contracts. This shift realigns incentives-manufacturers invest in iterative AI improvements because renewals, not one-off sales, drive revenue. For districts, the pay-as-you-go model frees capex and ensures that classroom fleets stay current.

Educational Robots Market Report is Segmented by Type (Humanoid, Non-Humanoid), Component (Hardware, Software and Services), Education Level (Primary Education, Secondary Education, Higher Education and More), Learning Mode / Application (Coding and STEM, Language Learning, Special-Needs Therapy and More), End User (Schools, Universities and Colleges, and More), Geography. The Market Forecasts are Provided in Terms of Value (USD).

Geography Analysis

Asia-Pacific led with 38% revenue in 2024, anchored by China, Japan and South Korea. Beijing's 14th Five-Year Plan earmarks USD 45.2 million for robotics innovation, while Tokyo's New Robot Strategy deploys USD 440 million to sustain its domestic industry. High robot density-1,012 units per 10,000 workers in Korea-creates a skilled labor pool and a receptive education sector. Shenzhen-based suppliers export low-cost component kits, compressing global bill-of-materials and elevating Asia's manufacturing influence on the educational robot market.

The Middle East records the fastest CAGR at 22% to 2030. Saudi Arabia's Future Intelligence Program intends to train 30,000 students in AI, and the SAMAI initiative targets 1 million citizens. Corporate CSR budgets underwrite robotics labs in public schools, sidestepping procurement bottlenecks. The UAE deepens alliances with US and Asian chipmakers, seeking supply-chain independence and positioning Dubai and Abu Dhabi as testing grounds for multilingual educational robots optimized for Arabic curricula.

North America remains a mature yet expanding arena. The White House's 2024 CoSTEM report confirms USD 70 million in NSF robotics grants and over 1,300 Department of Defense-backed FIRST teams. University-industry consortia accelerate prototype-to-classroom cycles, and telepresence robots address teacher shortages in rural districts. GDPR-free data regimes allow cloud-centric analytics, shortening deployment times relative to Europe.

Europe's mandatory robotics curricula sustain steady demand, but GDPR compliance raises integration costs. Horizon Europe assigns USD 183.5 million to robotics R&D, and Germany's High-Tech Strategy channels USD 369.2 million into educational applications. Vendors embed on-device processing to satisfy data-sovereignty requirements. Nordic countries pilot explainable-AI modules that log decision trees for every robot-student interaction, setting a benchmark others may follow.

1. SoftBank Robotics Corp.
2. UBTECH Robotics Inc.
3. Hanson Robotics Ltd.
4. Lego Education (The Lego Group)
5. Wonder Workshop Inc.
6. Robotis Co., Ltd.
7. VEX Robotics Inc.
8. Makeblock Co., Ltd.
9. Sphero Inc.
10. Modular Robotics (Cubelets)
11. Blue Frog Robotics
12. Aisoy Robotics
13. Sanbot Innovation (Qihan)
14. PAL Robotics
15. Probotics America
16. Robobuilder Co., Ltd.
17. Dash Robotics (Kamigami)
18. RobotLAB Inc.
19. DJI RoboMaster
20. Ozobot and Evollve Inc.
21. Fischertechnik GmbH
22. RoboTerra Inc.
23. Roborisen (e-Bo)
24. RoboSense (Edu)

Additional Benefits:

• The market estimate (ME) sheet in Excel format
• 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

• 1.1 Study Assumptions and Market Definition
• 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET LANDSCAPE

• 4.1 Market Overview
• 4.2 Market Drivers
  • 4.2.1 Adoption of AI-enabled Social Robots for Early-Childhood Language Tutoring in East Asia
  • 4.2.2 Mandatory Robotics Curriculum in K-12 Schools across Europe
  • 4.2.3 Government-funded STEM Initiatives (e.g., US NSF DRK-12) Fueling University Procurement
  • 4.2.4 Falling ASP of Education-grade Servo Motors and Sensors in China
  • 4.2.5 Surge of Remote/Hybrid Learning Driving Telepresence Teaching Robots in North America
  • 4.2.6 Corporate CSR Budgets Sponsoring Robotics Labs in Middle-East Public Schools
• 4.3 Market Restraints
  • 4.3.1 High Failure Rates of Battery Packs in Continuous Classroom Use (Tropical Regions)
  • 4.3.2 Limited Multilingual Content Libraries for Humanoid Robots in Non-Latin Script Nations
  • 4.3.3 GDPR-Driven Data-privacy Compliance Costs for Cloud-connected Robots in EU
  • 4.3.4 Shortage of Certified Robotics Instructors in Rural Africa
• 4.4 Value / Supply-Chain Analysis
• 4.5 Regulatory and Technological Outlook
• 4.6 Porter's Five Forces Analysis
  • 4.6.1 Threat of New Entrants
  • 4.6.2 Bargaining Power of Buyers
  • 4.6.3 Bargaining Power of Suppliers
  • 4.6.4 Threat of Substitutes
  • 4.6.5 Competitive Rivalry
• 4.7 Investment Analysis (Funding, MandA, VC Trends)

5 MARKET SIZE AND GROWTH FORECASTS (VALUE)

• 5.1 By Type
  • 5.1.1 Humanoid
  • 5.1.2 Non-humanoid
• 5.2 By Component
  • 5.2.1 Hardware
  • 5.2.2 Software
  • 5.2.3 Services
• 5.3 By Education Level
  • 5.3.1 Pre-primary (Kindergarten)
  • 5.3.2 Primary Education
  • 5.3.3 Secondary Education
  • 5.3.4 Higher Education
  • 5.3.5 Special Education
• 5.4 By Learning Mode / Application
  • 5.4.1 Coding and STEM
  • 5.4.2 Language Learning
  • 5.4.3 AI and Robotics Research
  • 5.4.4 Special-needs Therapy
  • 5.4.5 Telepresence and Remote Instruction
• 5.5 By End User
  • 5.5.1 Schools
  • 5.5.2 Universities and Colleges
  • 5.5.3 Vocational Institutes
  • 5.5.4 Ed-Tech Companies
  • 5.5.5 Special-education Centers
  • 5.5.6 Maker Spaces and Robotics Clubs
• 5.6 By Geography
  • 5.6.1 North America
    • 5.6.1.1 United States
    • 5.6.1.2 Canada
    • 5.6.1.3 Mexico
  • 5.6.2 South America
    • 5.6.2.1 Brazil
    • 5.6.2.2 Argentina
    • 5.6.2.3 Rest of South America
  • 5.6.3 Europe
    • 5.6.3.1 United Kingdom
    • 5.6.3.2 Germany
    • 5.6.3.3 France
    • 5.6.3.4 Italy
    • 5.6.3.5 Nordics
    • 5.6.3.6 Rest of Europe
  • 5.6.4 Middle East
    • 5.6.4.1 United Arab Emirates
    • 5.6.4.2 Saudi Arabia
    • 5.6.4.3 Turkey
    • 5.6.4.4 Rest of Middle East
  • 5.6.5 Africa
    • 5.6.5.1 South Africa
    • 5.6.5.2 Egypt
    • 5.6.5.3 Rest of Africa
  • 5.6.6 Asia-Pacific
    • 5.6.6.1 China
    • 5.6.6.2 Japan
    • 5.6.6.3 South Korea
    • 5.6.6.4 India
    • 5.6.6.5 Southeast Asia
    • 5.6.6.6 Rest of Asia-Pacific

6 COMPETITIVE LANDSCAPE

• 6.1 Market Concentration
• 6.2 Strategic Moves (Partnerships, Curriculum Alliances, CSR Labs)
• 6.3 Market Share Analysis
• 6.4 Company Profiles {(includes Global level Overview, Market level overview, Core Segments, Financials as available, Strategic Information, Market Rank/Share, Products and Services, Recent Developments)}
  • 6.4.1 SoftBank Robotics Corp.
  • 6.4.2 UBTECH Robotics Inc.
  • 6.4.3 Hanson Robotics Ltd.
  • 6.4.4 Lego Education (The Lego Group)
  • 6.4.5 Wonder Workshop Inc.
  • 6.4.6 Robotis Co., Ltd.
  • 6.4.7 VEX Robotics Inc.
  • 6.4.8 Makeblock Co., Ltd.
  • 6.4.9 Sphero Inc.
  • 6.4.10 Modular Robotics (Cubelets)
  • 6.4.11 Blue Frog Robotics
  • 6.4.12 Aisoy Robotics
  • 6.4.13 Sanbot Innovation (Qihan)
  • 6.4.14 PAL Robotics
  • 6.4.15 Probotics America
  • 6.4.16 Robobuilder Co., Ltd.
  • 6.4.17 Dash Robotics (Kamigami)
  • 6.4.18 RobotLAB Inc.
  • 6.4.19 DJI RoboMaster
  • 6.4.20 Ozobot and Evollve Inc.
  • 6.4.21 Fischertechnik GmbH
  • 6.4.22 RoboTerra Inc.
  • 6.4.23 Roborisen (e-Bo)
  • 6.4.24 RoboSense (Edu)

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

• 7.1 White-space and Unmet Need Analysis