Asia-Pacific Market Insights on Artificial Intelligence (AI) in Education Sector: Current Analysis and Forecast (2019-2025)

$3099$7577

Emphasis on Technology (Machine Learning, Deep Learning, Neural Network, Natural Language Processing), Component (Software, Hardware, Service), End-Users (Pre-School, K-12 Educational Institutions, Higher Educational Institutions) and Country

Published:

Jul-2019

Pages:

163

Table:

114

Figure:

64

Report ID:

UMAI19144

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Report Description
Table of content
Research Methodology

Report Description

The Asia-Pacific AI market in education sector stood at US$ 97.5 million in 2018 and is expected to grow at a CAGR of 53.2% during the forecasted period 2019-2025. The education sector is becoming more tailored and convenient for students, the credit for the same can be given to increased application of AI technology in the sector. This technology has plentiful applications that are changing the methodology of learning process. Apart from the learning aspect, AI is also helping to automate and speed up administrative tasks, helping institutions to reduce the time spent on tedious tasks and increasing the amount of time spent on each individual student.

Snapshot of AI in Asia-Pacific Education Sector

As per the research, the use of AI in the education industry will grow by 47.5% through 2025 as the citizens of the world are becoming more adaptive and open to technology tools. The educational institutes are adopting AI to offer personalized learning experience and enhance tutoring methods. The integration of intelligent algorithms through AI in the learning platform has shown positive impact on the learning of students. This is promoting the growth of the AI in education sector. The technology has transformed the classrooms and changed the role of educators in the learning process by providing more user-friendly and sophisticated tools. The educational institutes are utilising the proficiencies of the AI for content development, curriculum designing, online learning platforms, and administrative operations. Moreover, increasing adoption of web-based services and smartphones has encouraged the educational institutes to move toward online learning solutions to increase their student base and provide high-quality service.

“Natural language processing technology dominated the market in APAC region in 2018 and is expected to maintain its dominance throughout 2025”

Based on technology, the AI in education market is segmented into machine learning, deep learning, neural network and natural language processing. Out of all, in 2018, natural language processing dominated the market and is expected to maintain its dominance throughout 2025. Machine learning promises to deliver custom in-class teaching by providing real-time feedback based on individual student behaviour and other factors. This improves the chances of better learning. Machine learning also plays an important role in assessments or evaluations by removing biases.

“Amongst component, software holds the major share in 2018 and is anticipated to maintain its lead till 2025.”

Based on component, the AI in education market is segmented into software, services and hardware. In 2018, software dominated the component segment of Asia-Pacific AI in Education sector market, generating revenue of US$57.2 million, followed by services and hardware.

Asia-Pacific AI in Education Market Size, by Component

 

“Higher education institutions were the major adopter of AI in Education in the Asia-Pacific region and is expected to witness highest market growth during the forecasted period”

Artificial intelligence in education sector has been on an up-surging trend due to high adoption of AI in country such as China and Japan, paired with development and growth of research & development activities that combines the investments by government and private institutions.

Competitive Landscape-Top 10 Market Players

The leading market players operating in the Asia-Pacific AI in Education sector includes Google, Microsoft Corp, Intel Corporation, IBM, Qualcom, General Electric, Next IT, Siemens, Samsung and SAP SE. Among all, Google dominates the current market. Looking at the growth potential, other players are also investing heavily in the AI technology to uplift the education sector in the Asia-Pacific region.

Reasons to buy (The research report presents):

  • Current and future market size from 2018 to 2025 in terms of value (US$)
  • Combined analysis of deep dive secondary research and input from primary research through Key Opinion Leader of the industry
  • Country level details of the overall adoption rate of AI in education sector in the Asia-Pacific region
  • Analysis of technological advancement in the education sector in countries such as India, China, Singapore, Australia etc.
  • A quick review of overall industry performance at a glance
  • An In-depth analysis of key industry players, with major focus on their key financials, product portfolio, expansion strategies, and recent developments
  • A detailed analysis of regulatory framework, drivers, restraints, key trends and opportunities prevailing in the market
  • Examination of industry attractiveness with the help of Porter’s Five Forces analysis
  • The study comprehensively covers the market across different segments and sub-segments of the technology in the Asia-Pacific education sector
  • Countries covered: China, India, Japan, Singapore, Australia and others

Customization Options:

The market report on AI in education sector in the Asia-Pacific region can be customized for other Asian countries as well, which are not covered in the report. Besides this, UMI understands that you may have your own business need, hence we also provide fully customized solutions to clients.

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1.1Market Definition   
  1.2Objective of the Study   
  1.3Limitation     
  1.4Stakeholders    
  1.5Currency used in the Report  
  1.6Scope of the study of Asia-Pacific AI in Education
2.1Research Methodology for Asia-Pacific AI in Education Market Study
   2.1.1Main objective of the AI in education sector Market Study
3.1General Overview   
   3.1.1Comparison of Regulation in Education Sector, in Asian Countries
    3.1.1.1Australia Regulatory Framework for AI in Education Sector
    3.1.1.2Singapore Regulatory Framework for AI in Education Sector
    3.1.1.3China Regulatory Framework for AI in Education Sector
    3.1.1.4India Regulatory Framework for AI in Education Sector
    3.1.1.5Japan Regulatory Framework for AI in Education Sector
    3.1.1.6Rest of APAC Region Regulatory Framework for AI in Education
6.1Introduction    
  6.2Market Dynamics   
   6.2.1Market Drivers   
    6.2.1.1Increasing Investment in AI and Education Technology
    6.2.1.2Growing Integration of Technology in Learning Process
    6.2.1.3Rising Adoption of Cloud-Based Services
   6.2.2Market Restraints   
    6.2.2.1Slow Digitalization Rate Affecting the Adoption of the AI Technology
    6.2.2.2Data Safety & Security Issues 
    6.2.2.3Lack of skilled professionals 
   6.2.3Trends in AI in Education  
    6.2.3.1Personalized Learning  
    6.2.3.2AI Virtual Learning Assistant 
    6.2.3.3Student support beyond the classroom
    6.2.3.4Automation of Admin Tasks with AI
   6.2.4Opportunity   
    6.2.4.1Growing Demand of the AI Technology for Enhancing Education Systems
    6.2.4.2Increasing Investments in the Education Sector
7.1General Overview   
   7.1.1Demand and Supply Side Analysis 
    7.1.1.1Demand Side Analysis  
     7.1.1.1.1India   
     7.1.1.1.2Japan   
     7.1.1.1.3Singapore  
    7.1.1.2Supply Side Analysis  
    7.1.1.3Top Winning Strategies  
     7.1.1.3.1Top Product launches 
     7.1.1.3.2Top Investments  
     7.1.1.3.3Top Acquisition and Collaborations
     7.1.1.3.4Top Innovative Startups
8.1General Overview   
   8.1.1Machine Learning   
   8.1.2Deep Learning   
   8.1.3Neural Network   
   8.1.4Natural Language Processing
9.1General Overview   
   9.1.1Software    
   9.1.2Services    
   9.1.3Hardware
10.1General Overview      
   10.1.1Pre- School Educational Institutions 
   10.1.2K-12 Educational Institutions  
   10.1.3Higher Educational Institutions
11.1General Overview   
  11.2China AI in Education Market (2018-2025) 
   11.2.1China AI in Education Market, by Technology
   11.2.2China AI in Education Market by Components
   11.2.3China AI in Education Market by End-User
  11.3Japan AI in Education Market (2018-2025) 
   11.3.1Japan AI in Education Market, by Technology
   11.3.2Japan AI in Education Market by Components
   11.3.3Japan AI in Education Market by End-User
  11.4India AI in Education Market (2018-2025) 
   11.4.1India AI in Education Market, by Technology
   11.4.2India AI in Education Market by Components
   11.4.3India AI in Education Market by End-User
  11.5Singapore AI in Education Market (2018-2025) 
   11.5.1Singapore AI in Education Market, by Technology
   11.5.2Singapore AI in Education Market by Components
   11.5.3Singapore AI in Education Market by End-User
  11.6Australia AI in Education Market (2018-2025) 
   11.6.1Australia AI in Education Market, by Technology
   11.6.2Australia AI in Education Market by Components
   11.6.3Australia AI in Education Market by End-User
  11.7Rest of APAC AI in Education Market (2018-2025)
   11.7.1Rest of APAC AI in Education Market, by Technology
   11.7.2Rest of APAC AI in Education Market by Components
   11.7.3Rest of APAC AI in Education Market by End-User
12.1Descriptive Analysis   
  12.1.112.1.1Demographic Profile  
  12.1.212.1.2Trend Analysis   
  12.2Inferential Analysis   
   12.2.1Correlation Analysis  
   12.2.2Regression Analysis  
  12.3Summary     
  12.4Recommendations
13.1Porter’s Five Forces Analysis  
   13.1.1Bargaining power of Buyer  
   13.1.2Bargaining power of Supplier  
   13.1.3Threat of new entrants  
   13.1.4Availability of Substitute  
   13.1.5Industry Rivalry   
  13.2AI in Education Market Share Analysis, 2018
 14.1Microsoft Corporation   
   14.1.1Key Facts    
   14.1.2Business Description  
   14.1.3Key Product/Services Offerings 
   14.1.4Growth Strategy   
   14.1.5Microsoft in Education Sector  
   14.1.6SWOT Analysis   
   14.1.7Key Financials   
    14.1.7.1Revenue Split, by Region and Segment
   14.1.8Recent Developments  
    14.1.8.1Product Launches  
    14.1.8.2Partnerships (Strategic Alliance) 
    14.1.8.3Business Expansions and Investments
  14.2IBM Corporation    
   14.2.1Key Facts    
   14.2.2Business Description  
   14.2.3Key Product/Services Offerings 
   14.2.4Growth Strategy   
   14.2.5IBM in Education sector  
   14.2.6SWOT Analysis   
   14.2.7Key Financials   
    14.2.7.1Revenue Split, by Region and Segment
   14.2.8Recent Developments  
    14.2.8.1Product Launches  
    14.2.8.2Partnership (Strategic Alliance) 
    14.2.8.3Business Expansion and Investment
    14.2.8.4Merger and Acquisition  
  14.3Google Inc.    
   14.3.1Key Facts    
   14.3.2Business Description  
   14.3.3Key Product/Services Offerings 
   14.3.4Growth Strategy   
   14.3.1Google in Education Sector  
    14.3.1.1Some Initiative by Google For Education Sector
   14.3.2SWOT Analysis   
   14.3.3Key Financials   
    14.3.3.1Revenue Split, by Region and Segment
   14.3.4Recent Developments  
    14.3.4.1Product Launches  
    14.3.4.2Partnership (Strategic Alliance) 
    14.3.4.3Business Expansion and Investment
    14.3.4.4Google Mergers and Acquisition 
  14.4SAP SE     
   14.4.1Key Facts    
   14.4.2Business Description  
   14.4.3Key Product/Services Offerings 
   14.4.4Growth Strategy   
   14.4.5SWOT Analysis   
   14.4.6Key Financials   
    14.4.6.1Revenue Split, by Region and Segment
   14.4.7Recent Developments  
    14.4.7.1Product Launches  
    14.4.7.2Partnership (Strategic Alliance) 
    14.4.7.3Business Expansion and Investment
    14.4.7.4Mergers and Acquisition 
  14.5AT&T Inc.     
   14.5.1Key Facts    
   14.5.2Business Description  
   14.5.3Key Product/Services Offerings 
   14.5.4Growth Strategy   
   14.5.5AT&T Aspire- The education hand 
   14.5.6SWOT Analysis   
   14.5.7Key Financials   
    14.5.7.1Revenue Split, by Region and Segment
   14.5.8Recent Developments  
    14.5.8.1Product Launch  
    14.5.8.2Partnership (Strategic Alliance) 
    14.5.8.3Business Expansion and Investments
  14.6Siemens AG    
   14.6.1Key Facts    
   14.6.2Business Description  
   14.6.3Key Product/Services Offerings 
   14.6.4Growth Strategy   
   14.6.5Siemens in Education sector  
   14.6.6SWOT Analysis   
   14.6.7Key Financials   
    14.6.7.1Revenue Split, by Region and Segment
   14.6.8Recent Developments  
    14.6.8.1Product Launch  
    14.6.8.2Digitalization Concept of SCE Initiative
  14.7Samsung Electronics Co., Ltd  
   14.7.1Key Facts    
   14.7.2Business Description  
   14.7.3Key Product/Services Offerings 
   14.7.4Growth Strategy   
   14.7.5Samsung Educational Solutions 
    14.7.5.1Samsung Goal for Education Sector 
    14.7.5.2Products for Education Sector 
    14.7.5.3Resources for Education  
   14.7.6SWOT Analysis   
   14.7.7Key Financials   
    14.7.7.1Revenue Split, by Region and Segment
   14.7.8Recent Developments  
    14.7.8.1Product Launches  
    14.7.8.2Partnership (Strategic Alliance) 
    14.7.8.3Business Expansion and Investment
  14.8Next IT Corporation   
   14.8.1Key Facts    
   14.8.2Business Description  
   14.8.3Key Product/Services Offerings 
   14.8.4Growth Strategy   
   14.8.5SWOT Analysis   
   14.8.6Recent Developments  
    14.8.6.1Next IT Product Launches 
    14.8.6.2Partnership (Strategic Alliance) 
  14.9General Electric Company  
   14.9.1Key Facts    
   14.9.2Business Description  
   14.9.3Key Product/Services Offerings 
   14.9.4Growth Strategy   
    14.9.4.1Financial Aspects and Strategy 
   14.9.1GE Additive Education Program 
   14.9.2SWOT Analysis   
   14.9.3Key Financials   
    14.9.3.1Revenue Split, by Region and Segment
   14.9.4Recent Developments  
    14.9.4.1Product Launches  
    14.9.4.2Partnerships (Strategic Alliance) 
    14.9.4.3Business Expansions and Investment
  14.1Qualcomm Incorporated   
   14.10.1Key Facts    
   14.10.2Business Description  
   14.10.3Key Product/Services Offerings 
   14.10.4Growth Strategy   
    14.10.4.1Education as a part of Strategy 
   14.10.1Thinkabit Lab- The Education Sector Initiative
   14.10.2SWOT Analysis   
   14.10.3Key Financials   
    14.10.3.1Revenue Split, by Region and Segment
   14.10.4Recent Developments  
    14.10.4.1Product Launches  
    14.10.4.2Business Expansions and Investment

Research Methodology

Analysing historical market, estimation of the current market and forecasting the future market for AI in education sector in major Asian countries were the three major steps to create and analyse the overall market of AI in education sector in the Asia-Pacific region. Exhaustive secondary research was done to collect the historical market of the technology and overall estimation of the current market. Secondly, to validate these insights, numerous findings and assumptions were taken into consideration. Moreover, exhaustive primary interviews were conducted with industry experts across value chain of the Educational AI market in the Asia-Pacific region. After all the assumption, market sizing and validation of market numbers through primary interviews, top-down approach was employed to forecast the complete market size and adoption rate of AI in the education sector in the Asia-Pacific region. Thereafter, market breakdown and data triangulation methods were adopted to estimate and analyse the market size of different segments and sub-segments of the market. Detailed methodology is explained below:

Analysis of Historical Market Size

Step 1: In-Depth Study of Secondary Sources:

Detail secondary study was conducted to obtain the historical market size and application of AI technology in education sector in the Asia-Pacific region, through company internal sources such as annual report & financial statements of top players, performance presentations, press releases, sales figures etc. and external sources including trade journals, news & articles, government publications, economic data, competitor publications, sector reports, regulatory bodies publications, third-party database and other creditable publications. For economic and social data collection, sources such as World Bank, IMF, among others were used.

Step 2: Market Segmentation:

After obtaining historical market size of the overall market, detailed secondary analysis was done to gather current market insights and share for different segments & sub-segments for the AI in education sector in the Asia-Pacific region. Major segments included in the report are technology and end-users. Further analysis was also done for sub-segments of the major segments of the overall penetration of AI in education sector in the Asia-Pacific region.

Step 3: Factor Analysis:

After acquiring the historical market size of different segments and sub-segments, detailed factor analysis was conducted to estimate the current market size of the AI in education sector in the Asia-Pacific region. Factor analysis was conducted using dependent and independent variable such the different technologies being implemented in the education sector such as machine leaning, deep learning and neural network. Historical trends of the AI technology in education sector and its year-on-year impact on the market size and share in the recent past was analyzed. Demand and supply side scenario was also thoroughly studied.

Current Market Size Estimate & Forecast

Current Market Sizing: Based on actionable insights from the above 3 steps, we arrived at current market size, key players in major technology and markets, market shares of these players, industry’s supply chain, along with value chain of the industry. All the required percentage shares, splits, and market breakdowns were determined using the above-mentioned secondary approach and were verified through primary interviews.

Estimation & Forecasting: For market estimation and forecast, weightage was assigned to different factors including drivers & trends, restraints, and opportunities. After analyzing these factors, relevant forecasting techniques i.e. Bottom-up/Top-down was applied to arrive at the market forecast pertaining to 2025 for different segment and sub-segments in different Asian country. The research methodology adopted to estimate the market size encompasses:

  • The industry’s market size, in terms of value and rate of adoption of AI in education sector in the Asia-Pacific region
  • All percentage shares, splits, and breakdowns of market segments and sub-segments
  • Key players in major technology and markets as well as market share of these players. Also, the growth strategies adopted by these players to compete in the ever-growing AI technology in education sector

Market Size and Share Validation

Primary Research: In-depth interviews were conducted with the Key Opinion Leaders (KOLs) including Top Level Executives (CXO/VPs, Sales Head, Marketing Head, Operational Head, and Regional Head etc.). Primary research findings were summarized, and statistical analysis was performed to prove the stated hypothesis. Input from primary research were consolidated with secondary findings, hence turning information into actionable insights.

Statistical Analysis: For statistical analysis, we have conducted telephonic interview with Principals of the K12 institutions and Professors of higher educational institutions in the Asia-Pacific region. Total of 43 respondents were interviewed to develop the overall market of AI in education sector in the region. Based on their key information and insights about the technological advancement in the Asian education sector, the final market sizing was created. Detailed statistical analysis is presented in the report.

Split of Primary Participants

Market Engineering

Data triangulation technique was employed to complete the overall market engineering process and to arrive precise statistical numbers of each segment and sub-segment pertaining to the AI in education sector. Data was split into several segments & sub-segments post studying various parameters and trends in the technologies of AI in education sector including Machine Learning, Deep Learning, Neural Network and Natural language processing. Further, end-user of AI in education sector included Pre-school, K12 educational institutes and higher education institutions. Apart from this, major countries of the Asia-Pacific region were taken into considerations including China, Japan, India, Singapore and Australia among others.

Main objective of the Asia-Pacific AI in Education Sector Market Study

The current & future market trends of the AI in education sector are highlighted in the study. Investors can gain strategic insights to base their discretion for investments from the qualitative and quantitative analysis performed in the study. Current and future market trends would determine the overall attractiveness of the market, providing a platform for the industrial participant to exploit the untapped market to benefit as first mover advantage. Other quantitative goal of the studies includes:

  • Analyse the current and forecast market size of AI in education sector in the Asia-Pacific region in terms of value
  • Analyse the current and forecast market size of different segments and sub-segments of AI in education sector. Segments  in the study include technology, end-users and country
  • Define and describe the technologies and protocols used in AI in education sector
  • Anticipate potential risk associated with the technology along with the customer and competitor analysis, etc.
  • Define and analysis of the government regulations for AI in education sector in different Asian countries
  • Analyse the current and forecast market size of AI in education sector, in terms of value for countries including China, Japan, India, Singapore and Australia among others
  • Define and analyse the competitive landscape of the AI in education sector and the growth strategies adopted by the market players to sustain in the ever-growing market