Educational Robot Market Size and Share

Educational Robot Market Summary
Image © Mordor Intelligence. Reuse requires attribution under CC BY 4.0.

Educational Robot Market Analysis by Mordor Intelligence

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. 

Key Report Takeaways

  • By robot type, non-humanoid units led with 68% of the educational robot market share in 2024; humanoid platforms are projected to expand at a 23.4% CAGR to 2030. 
  • By component, hardware captured 74% revenue share in 2024, while services are set to grow at a 25% CAGR through 2030. 
  • By education level, secondary education held 41% of educational robot market size in 2024; special education exhibits the fastest trajectory at 27.3% CAGR to 2030. 
  • By geography, Asia-Pacific commanded 38% revenue share in 2024, whereas the Middle East is forecast to register a 22% CAGR between 2025-2030. 
  • By end-user, schools represented 56% of spending in 2024, while Ed-Tech companies are advancing at 24.1% CAGR through 2030.  

Segment Analysis

By Type: Humanoid Robots Gain Emotional Intelligence Edge

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. 

Educational Robots Market
Image © Mordor Intelligence. Reuse requires attribution under CC BY 4.0.
Get Detailed Market Forecasts at the Most Granular Levels
Download PDF

By Component: Services Segment Disrupts Traditional Ownership Models

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. 

By Learning Mode: Language Learning Applications Accelerate

Coding and STEM remain the dominant learning mode, delivering half of 2024 shipments as curricula worldwide embed computational-thinking objectives. Robots visualize loops, variables and sensors in action, demystifying programming logic. Language learning, however, is on a steep ascent, leveraging conversational AI to provide unlimited speaking practice and instant accent correction. Pilots using robot tutors show vocabulary gains that exceed teacher-only instruction by almost one-third. The educational robot market share for language applications is expected to widen as publishers license linguistic content across hardware platforms. 

Telepresence robots earned a visibility boost during pandemic-driven hybrid schedules and now address teacher-shortage pockets, particularly in rural North America. Special-needs therapy and AI-research modes further diversify demand, prompting software studios to craft purpose-built modules. This proliferation of use cases supports multiyear growth for the educational robot industry while lowering single-application risk for OEMs. 

Educational Robot
Image © Mordor Intelligence. Reuse requires attribution under CC BY 4.0.

Note: Segment shares of all individual segments available upon report purchase

Get Detailed Market Forecasts at the Most Granular Levels
Download PDF

By Education Level: Special Education Emerges as High-Growth Niche

Secondary schools commanded 41% of 2024 spending as coding, robotics clubs and project-based STEM curricula proliferated. Robots bring abstract physics and programming concepts into tangible projects, boosting test scores and retention. Yet the special-education sub-segment is expanding fastest at 27.3% CAGR. Predictable robot behavior helps learners on the autism spectrum practice social cues without anxiety, and studies cite measurable gains in communication within six-week interventions. Consequently, administrators reallocate therapy budgets toward robot-assisted programs, enlarging the educational robot market size in specialized settings. 

Primary and pre-primary grades are adopting age-appropriate robots that teach sequencing and cause-effect through play. Higher-education institutes deploy advanced manipulators for AI, mechatronics and human-robot-interaction research, fostering cross-disciplinary projects. Over time, platform scalability—robots that evolve from block-coding to Python—will influence buying decisions because institutions prefer assets that grow with student competencies.

By End User: Ed-Tech Companies Disrupt Traditional Market

Public and private schools generated 56% of revenue in 2024, aided by grant programs and policy mandates. Districts typically purchase sets of 12-30 robots per grade cluster and favor durable, low-maintenance models. Ed-Tech platforms, though smaller today, are scaling at 24.1% CAGR. Their cloud-first approach bundles robots, curriculum and analytics into one subscription, giving them leverage to negotiate bulk component pricing and to push regular feature rollouts. 

Universities and vocational institutes order higher-spec robots with interchangeable tooling for research and job-training. Maker spaces and after-school clubs, while niche, act as innovation hubs and early-adopter showcases that influence broader purchasing cycles. Vendors that craft flexible APIs and modular hardware gain traction across this heterogeneous client base, reinforcing overall educational robot market resilience. 

Educational Robot
Image © Mordor Intelligence. Reuse requires attribution under CC BY 4.0.

Note: Segment Share of all individual segments available upon report purchase

Get Detailed Market Forecasts at the Most Granular Levels
Download PDF

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. [1] International Federation of Robotics, “Robotics Research: How Asia, Europe and America Invest,” ifr.org

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. [2]Arab News, Reem Walid, “EdTech in Saudi Arabia: Revolutionizing Education Through Innovation,” arabnews.com

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. [3]White House Office of Science and Technology Policy, “2024 Report on the Committee on Science, Technology, Engineering, and Mathematics (CoSTEM),” bidenwhitehouse.archives.gov

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. 

Educational Robot
Image © Mordor Intelligence. Reuse requires attribution under CC BY 4.0.
Get Analysis on Important Geographic Markets
Download PDF

Competitive Landscape

The field is moderately fragmented. Legacy leaders SoftBank Robotics and UBTECH still ship high volumes, but specialized entrants target niches such as Arabic-language content or tropicalized battery systems. Partnerships between hardware firms and curriculum publishers have become decisive; for example, Learning Resources bundles lesson plans that teachers can implement without programming skills. Venture funding reinforces this shift: 41 North American startups have raised USD 309 million to date, many focused-on subscription models that amortize costs for schools. [4]Learning Resources, “Code & Go Robot Mouse,” learningresources.com

Humanoid robots represent the fiercest battleground; emotional-intelligence algorithms and expressive mechatronics are complex and patent-rich, raising entry barriers. Startups that combine open-source hardware with proprietary AI attempt to undercut premium incumbents. Meanwhile, battery-life limitations in tropical markets create openings for designers of swappable power modules. Multilingual content scarcity offers another white-space: regional ed-tech firms that license Arabic or Thai STEM libraries gain bargaining leverage with global OEMs eager for compliance in local tenders. 

Overall, competition is moving from mechanical feats to ecosystem depth. Vendors that deliver teacher-training portals, secure analytics dashboards and localized content achieve stickier installations. In response, hardware-only providers are acquiring content studios or forming joint ventures to stay relevant. Subscription pricing narrows hardware gross margins but lifts lifetime value, realigning strategic priorities across the educational robot industry. 

Educational Robot Industry Leaders

  1. Lego Education (The Lego Group)

  2. SoftBank Robotics Corp.

  3. UBTECH Robotics Inc.

  4. VEX Robotics Inc.

  5. Wonder Workshop Inc.

  6. *Disclaimer: Major Players sorted in no particular order
Educational Robot Market Concentration
Image © Mordor Intelligence. Reuse requires attribution under CC BY 4.0.
Need More Details on Market Players and Competitors?
Download PDF

Recent Industry Developments

  • May 2025: Silicon Ranch announced a strategic investment in Swap Robotics, enhancing its land-stewardship program while adding robotics expertise to its board.
  • March 2025: Sphero unveiled an upgraded Bolt+ coding robot along with Blueprint Engineering kits, now used by 40,000 educators in 20,000 schools.
  • February 2025: The International Federation of Robotics reported new state funding commitments in China, Japan and Korea aimed at accelerating educational robot R&D.
  • January 2025: The White House CoSTEM Annual Report highlighted Department of Defense support for 1,300 FIRST teams nationwide.

Table of Contents for Educational Robot Industry Report

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
You Can Purchase Parts Of This Report. Check Out Prices For Specific Sections
Get Price Break-up Now

Research Methodology Framework and Report Scope

Market Definitions and Key Coverage

Our study defines the educational robot market as interactive, programmable humanoid and non-humanoid machines that are sold ready for use in formal or informal learning settings, where they deliver STEM, language, or special-needs instruction through physical or virtual interaction. According to Mordor Intelligence, revenues are tracked at manufacturer selling price and include associated software and service bundles.

Scope Exclusions: Kits or modular parts intended solely for industrial prototyping or hobbyist self-assembly are kept outside the study.

Segmentation Overview

  • By Type
    • Humanoid
    • Non-humanoid
  • By Component
    • Hardware
    • Software
    • Services
  • By Education Level
    • Pre-primary (Kindergarten)
    • Primary Education
    • Secondary Education
    • Higher Education
    • Special Education
  • By Learning Mode / Application
    • Coding and STEM
    • Language Learning
    • AI and Robotics Research
    • Special-needs Therapy
    • Telepresence and Remote Instruction
  • By End User
    • Schools
    • Universities and Colleges
    • Vocational Institutes
    • Ed-Tech Companies
    • Special-education Centers
    • Maker Spaces and Robotics Clubs
  • By Geography
    • North America
      • United States
      • Canada
      • Mexico
    • South America
      • Brazil
      • Argentina
      • Rest of South America
    • Europe
      • United Kingdom
      • Germany
      • France
      • Italy
      • Nordics
      • Rest of Europe
    • Middle East
      • United Arab Emirates
      • Saudi Arabia
      • Turkey
      • Rest of Middle East
    • Africa
      • South Africa
      • Egypt
      • Rest of Africa
    • Asia-Pacific
      • China
      • Japan
      • South Korea
      • India
      • Southeast Asia
      • Rest of Asia-Pacific

Detailed Research Methodology and Data Validation

Primary Research

Mordor analysts interviewed school district technology directors, university lab heads, robot OEM product managers, and Ed-Tech distributors across North America, Europe, and Asia-Pacific. These discussions clarified typical classroom fleet sizes, ASP erosion patterns, and future funding intent, which helped us close gaps left by desk research and triangulate assumptions.

Desk Research

We began with public statistics from bodies such as UNESCO Institute for Statistics, World Bank education-spend dashboards, OECD PISA datasets, and customs shipment codes for service robots. Trade association releases from IFR and the Consumer Technology Association offered unit-flow clues, which were cross-checked with company 10-Ks and investor decks. Paid repositories including D&B Hoovers and Dow Jones Factiva supplied school procurement contracts and vendor revenue splits that sharpened regional share estimates. The sources listed are illustrative, and many additional publications were reviewed to build and validate our evidence base.

Market-Sizing & Forecasting

A top-down construct begins with education expenditure by level and country, which is then linked to historical robot penetration rates observed in import logs and survey findings. Select bottom-up checks, including average selling price multiplied by sampled vendor volumes, temper the totals. Key drivers such as classroom digitization budgets, STEM curriculum mandates, sensor price curves, and humanoid servo cost declines feed a multivariate regression that generates the 2025-2030 outlook. Where supplier data were incomplete, we interpolated using regional adoption cascades validated with experts.

Data Validation & Update Cycle

Before release, every model passes a two-analyst peer review, variance thresholds trigger re-contacts, and the database refreshes annually, with ad-hoc updates after material policy or technology shocks.

Why Mordor's Educational Robot Baseline Earns Trust

Published values often differ because firms select varying robot categories, price bases, and refresh cadences.

Key Gap Drivers include whether refurbished kits are counted, if future government grants are front-loaded, and the degree to which ancillary software subscriptions are capitalized.

Benchmark comparison

Market Size Anonymized source Primary gap driver
1.8 B (2025) Mordor Intelligence
1.38 B (2024) Global Consultancy A excludes software services and uses factory shipments only
1.90 B (2024) Industry Publisher B wider scope that folds entertainment robots into education totals
1.4 B (2022) Sector Study C older base year and static ASP assumption

In summary, by anchoring scope to in-class pedagogical use, refreshing data every year, and validating top-down results with on-ground checks, Mordor Intelligence delivers a balanced baseline that decision-makers can reproduce and defend.

Need A Different Region or Segment?
Customize Now

Key Questions Answered in the Report

What is the current size of the educational robot market?

The market is valued at USD 1.8 billion in 2025 and is projected to reach USD 3.98 billion by 2030.

Which robot type is growing fastest?

Humanoid platforms, thanks to emotional-intelligence features, are expanding at a 23.4% CAGR through 2030.

Why are services gaining traction in educational robotics?

Robots-as-a-Service models let schools avoid large upfront costs while receiving continuous software updates and maintenance.

Which region will see the quickest growth?

The Middle East leads with a forecast 22% CAGR as national AI programs fund school robotics labs.

How are battery issues in tropical areas being addressed?

Suppliers are introducing hybrid power and swappable-battery designs engineered for high-heat, high-humidity conditions.

What content gap limits adoption in some markets?

A shortage of robot-ready curricula in non-Latin languages like Arabic and Thai slows uptake; regional developers are now filling this need.

Page last updated on:

Educational Robot Report Snapshots