+353-1-416-8900REST OF WORLD
+44-20-3973-8888REST OF WORLD
1-917-300-0470EAST COAST U.S
1-800-526-8630U.S. (TOLL FREE)


Global Educational Robots Market - Forecasts from 2018 to 2023

  • ID: 4542549
  • Report
  • Region: Global
  • 88 pages
  • Knowledge Sourcing Intelligence LLP
until Dec 31st 2019
1 of 4


  • Fischertechnik GmbH
  • Lego Mindstorm NXT
  • Makeblock, Co. Ltd.
  • Modular Robotics
  • Ozobot & Evollve, Inc.
  • Pitsco, Inc.
  • MORE
Global educational robots market is estimated to reach a market size of US$640.594 million by 2023 at a CAGR of 27.87% over the forecast period from the current estimate of US$146.513 million in 2017. Educational robots include the collection of activities, educational resources, pedagogical philosophy and physical platforms for the transfer of knowledge. There is a rising adoption of educational robots in K-12 schools around the world owing to their effective interactive capability. Increasing expenditure in the field of research and development and growing popularity of these robots as a learning tool will drive their demand. The emergence of affordable educational robots will further add to the growing demand for these robots. However, the reluctance of the teaching staff to fully incorporate robots into their curriculum will restrict the growing demand for educational robots during the forecast period.

By Component:

The global educational robot is segmented as software and hardware. Software accounted for a significant market share due increasing research and development expenditure by existing
companies. New players are entering the market and developing state-of-the-art solutions to capture a greater market share. Under hardware, educational kits provided by the companies accounted for a substantial share due to their high adoption in K-12 schools.

By End User:

K-12 schools are estimated to hold a large market share due to the presence of companies at national and international level. Budding adoption of robots in classroom and high market growth rate is motivating several companies to enter the market. Several universities have their own robotics department which develops proprietary robotic solutions for industrial, commercial, personal and educational purposes. A rise in funding from the university, companies and organisation with the objective to make groundbreaking advancement in the field of robotics will boost the demand for robotic solutions in the coming years.


The global educational robot market is segmented as North America, South America, Europe, Middle East and Africa and the Asia Pacific. The demand for educational robots is mainly driven by the developed regions of the world, i.e. North America and Europe. Early adoption of advanced technology and presence of high-income countries are the major driving factors in these regions. The Asia Pacific will witness substantial growth in the coming years due to increasing disposable income, favourable government policies and a rise in the number of corporations offering cost-effective educational robots. The Middle East and Africa and South American region are projected to witness modest growth over the forecast period.

Major industry players profiled as part of this report are Ozobot & Evollve, Inc., Makeblock, Co. Ltd., Fischertechnik GmbH, Advanced Robotics Artificial Intelligence, Lego Mindstorm NXT, and Pitsco, Inc. among others.


The global educational robots market has been analyzed through following segments:

By Component:
  • Software
  • Hardware
  • Sensor
  • Control System
  • Actuator
  • Others
By End User:s
  • K-12 Schools
  • Universities
  • Others
By Geography:
  • North America
  • United States
  • Canada
  • Others
  • Europe
  • Germany
  • France
  • United Kingdom
  • Others
  • Asia Pacific
  • Japan
  • China
  • India
  • Others
  • Rest of the World
Note: Product cover images may vary from those shown
2 of 4


  • Fischertechnik GmbH
  • Lego Mindstorm NXT
  • Makeblock, Co. Ltd.
  • Modular Robotics
  • Ozobot & Evollve, Inc.
  • Pitsco, Inc.
  • MORE
1.1. Market Overview
1.2. Market Definition
1.3. Scope of the Study
1.4. Currency
1.5. Assumptions
1.6. Base, and Forecast Years Timeline

2.1. Research Design
2.2. Secondary Sources


4.1. Market Segmentation
4.2. Market Drivers
4.3. Market Restraints
4.4. Market Opportunities
4.5. Porter’s Five Force Analysis
4.5.1. Bargaining Power of Suppliers
4.5.2. Bargaining Power of Buyers
4.5.3. Threat of New Entrants
4.5.4. Threat of Substitutes
4.5.5. Competitive Rivalry in the Industry
4.6. Life Cycle Analysis - Regional Snapshot
4.7. Market Attractiveness

5.1. Software
5.2. Hardware
5.2.1. Sensor
5.2.2. Control System
5.2.3. Actuator
5.2.4. Others

6.1. K-12 Schools
6.2. Universities
6.3. Others

7.1. North America
7.1.1. United States
7.1.2. Canada
7.1.3. Others
7.2. Europe
7.2.1. Germany
7.2.2. France
7.2.3. United Kingdom
7.2.4. Others
7.3. Asia Pacific
7.3.1. Japan
7.3.2. China
7.3.3. India
7.3.4. Others
7.4. Rest of the World

8.1. Investment Analysis
8.2. Recent Deals
8.3. Strategies of Key Players

9.1. Wonder Workshop, Inc.
9.1.1. Company Overview
9.1.2. Financials
9.1.3. Products and Services
9.1.4. Recent Developments
9.2. Ozobot & Evollve, Inc.
9.2.1. Company Overview
9.2.2. Financials
9.2.3. Products and Services
9.2.4. Recent Developments
9.3. Makeblock, Co. Ltd.
9.3.1. Company Overview
9.3.2. Financials
9.3.3. Products and Services
9.3.4. Recent Developments
9.4. Sphero
9.4.1. Company Overview
9.4.2. Financials
9.4.3. Products and Services
9.4.4. Recent Developments
9.5. Lego Mindstorm NXT
9.5.1. Company Overview
9.5.2. Financials
9.5.3. Products and Services
9.5.4. Recent Developments
9.6. Pitsco, Inc.
9.6.1. Company Overview
9.6.2. Financials
9.6.3. Products and Services
9.6.4. Recent Developments
9.7. Robothink
9.7.1. Company Overview
9.7.2. Financials
9.7.3. Products and Services
9.7.4. Recent Developments
9.8. Fischertechnik GmbH
9.8.1. Company Overview
9.8.2. Financials
9.8.3. Products and Services
9.8.4. Recent Developments
9.9. Modular Robotics
9.9.1. Company Overview
9.9.2. Financials
9.9.3. Products and Services
9.9.4. Recent Developments
9.10. Advanced Robotics Artificial Intelligence
9.10.1. Company Overview
9.10.2. Financials
9.10.3. Products and Services
9.10.4. Recent Developments
Note: Product cover images may vary from those shown
3 of 4


4 of 4
  • Wonder Workshop, Inc.
  • Ozobot & Evollve, Inc.
  • Makeblock, Co. Ltd.
  • Sphero
  • Lego Mindstorm NXT
  • Pitsco, Inc.
  • Robothink
  • Fischertechnik GmbH
  • Modular Robotics
  • Advanced Robotics Artificial Intelligence
Note: Product cover images may vary from those shown
5 of 4

The research study is based on the publisher's proprietary research model. The process involves sourcing of information from various industry experts, key professionals, decision-makers and various other stakeholders along with the validation of the responses received from the vast in-house database and premium paid databases. Publicly available sources were also taken into consideration for the final market estimates and forecast for the segments and sub-segments.

The first phase of the research process is the identification of key industry leaders, experts, decision-makers and C-level executives and then conducting interviews and surveys to gain vital insights about the market. Simultaneously, extensive secondary research is done, and key secondary data is collected as part of this process. This secondary data is collected from various databases, industry journals, whitepapers, company annual reports, research publications, and other paid data sources and relevant literature. Company profiles which include strategies, new product developments, recent investments, major products and services, financials and business plans are sourced from the annual reports, SEC filings, industry associations to preserve the quality of the information being displayed. The findings from both the primary and the secondary research process combined go under further processing for market breakdown and forecasting.

The last phase is providing intelligence in the form of presentation, charts, graphics and other different formats helping the clients in a faster and efficient understanding of the market. Under this phase complete market engineering is involved which includes analyzing the collected data from different sources and existing proprietary datasets while using various data triangulation methods for market breakdown and forecasting. The publisher has developed their market forecasting methodology that, in addition to the main market values, also takes into account other macroeconomic factors (global or local) that might have some bearing on the market under study. Taking all the necessary data, a robust forecast is developed using an algorithm that involves both static (multivariate) as well as dynamic (time-series) regression analysis. Special care is taken to make sure their algorithm passes the necessary statistical tests, and the mean prediction for future years obtained is reliable with a very high confidence level. Following data validation, the analysts begin to write the report presenting insights with the help of charts, graphs, and tables.