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

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

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

$ 2500
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$4900

Published: Jul-2019

Pages:163

Table:114

Figure:64

Report ID:UMAI19144

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.

                   
  1 MARKET INTRODUCTION      
    1.1 Market Definition      
    1.2 Objective of the Study      
    1.3 Limitation          
    1.4 Stakeholders        
    1.5 Currency used in the Report    
    1.6 Scope of the study of Asia-Pacific AI in Education
  2 RESEARCH METHODOLOGY      
    2.1 Research Methodology for Asia-Pacific AI in Education Market Study
      2.1.1 Main objective of the AI in education sector Market Study
  3 REGULATORY FRAMEWORK      
    3.1 General Overview      
      3.1.1 Comparison of Regulation in Education Sector, in Asian Countries
        3.1.1.1 Australia Regulatory Framework for AI in Education Sector
        3.1.1.2 Singapore Regulatory Framework for AI in Education Sector
        3.1.1.3 China Regulatory Framework for AI in Education Sector
        3.1.1.4 India Regulatory Framework for AI in Education Sector
        3.1.1.5 Japan Regulatory Framework for AI in Education Sector
        3.1.1.6 Rest of APAC Region Regulatory Framework for AI in Education
  4 INDUSTRY PERFORMANCE      
  5 EXECUTIVE SUMMARY        
  6 MARKET OVERVIEW        
    6.1 Introduction        
    6.2 Market Dynamics      
      6.2.1 Market Drivers      
        6.2.1.1 Increasing Investment in AI and Education Technology
        6.2.1.2 Growing Integration of Technology in Learning Process
        6.2.1.3 Rising Adoption of Cloud-Based Services
      6.2.2 Market Restraints      
        6.2.2.1 Slow Digitalization Rate Affecting the Adoption of the AI Technology
        6.2.2.2 Data Safety & Security Issues  
        6.2.2.3 Lack of skilled professionals  
      6.2.3 Trends in AI in Education    
        6.2.3.1 Personalized Learning    
        6.2.3.2 AI Virtual Learning Assistant  
        6.2.3.3 Student support beyond the classroom
        6.2.3.4 Automation of Admin Tasks with AI
      6.2.4 Opportunity      
        6.2.4.1 Growing Demand of the AI Technology for Enhancing Education Systems
        6.2.4.2 Increasing Investments in the Education Sector
  7 KEY MARKET INDICATORS      
    7.1 General Overview      
      7.1.1 Demand and Supply Side Analysis  
        7.1.1.1 Demand Side Analysis    
          7.1.1.1.1 India      
          7.1.1.1.2 Japan      
          7.1.1.1.3 Singapore    
        7.1.1.2 Supply Side Analysis    
        7.1.1.3 Top Winning Strategies    
          7.1.1.3.1 Top Product launches  
          7.1.1.3.2 Top Investments    
          7.1.1.3.3 Top Acquisition and Collaborations
          7.1.1.3.4 Top Innovative Startups  
  8 MARKET INSIGHTS, BY TECHNOLOGY    
    8.1 General Overview      
      8.1.1 Machine Learning      
      8.1.2 Deep Learning      
      8.1.3 Neural Network      
      8.1.4 Natural Language Processing    
  9 MARKET INSIGHTS BY COMPONENT    
    9.1 General Overview      
      9.1.1 Software        
      9.1.2 Services        
      9.1.3 Hardware        
  10 MARKET INSIGHTS BY END-USERS    
    10.1 General Overview            
      10.1.1 Pre- School Educational Institutions  
      10.1.2 K-12 Educational Institutions    
      10.1.3 Higher Educational Institutions  
  11 MARKET INSIGHTS BY COUNTRY    
    11.1 General Overview      
    11.2 China AI in Education Market (2018-2025)  
      11.2.1 China AI in Education Market, by Technology
      11.2.2 China AI in Education Market by Components
      11.2.3 China AI in Education Market by End-User
    11.3 Japan AI in Education Market (2018-2025)  
      11.3.1 Japan AI in Education Market, by Technology
      11.3.2 Japan AI in Education Market by Components
      11.3.3 Japan AI in Education Market by End-User
    11.4 India AI in Education Market (2018-2025)  
      11.4.1 India AI in Education Market, by Technology
      11.4.2 India AI in Education Market by Components
      11.4.3 India AI in Education Market by End-User
    11.5 Singapore AI in Education Market (2018-2025)  
      11.5.1 Singapore AI in Education Market, by Technology
      11.5.2 Singapore AI in Education Market by Components
      11.5.3 Singapore AI in Education Market by End-User
    11.6 Australia AI in Education Market (2018-2025)  
      11.6.1 Australia AI in Education Market, by Technology
      11.6.2 Australia AI in Education Market by Components
      11.6.3 Australia AI in Education Market by End-User
    11.7 Rest of APAC AI in Education Market (2018-2025)
      11.7.1 Rest of APAC AI in Education Market, by Technology
      11.7.2 Rest of APAC AI in Education Market by Components
      11.7.3 Rest of APAC AI in Education Market by End-User
  12 PRIMARY FINDINGS, INTERPRETATION AND RECOMENDATIONS
    12.1 Descriptive Analysis      
    12.1.1 12.1.1 Demographic Profile    
    12.1.2 12.1.2 Trend Analysis      
    12.2 Inferential Analysis      
      12.2.1 Correlation Analysis    
      12.2.2 Regression Analysis    
    12.3 Summary          
    12.4 Recommendations      
  13 COMPETITIVE SCENARIO      
    13.1 Porter’s Five Forces Analysis    
      13.1.1 Bargaining power of Buyer    
      13.1.2 Bargaining power of Supplier    
      13.1.3 Threat of new entrants    
      13.1.4 Availability of Substitute    
      13.1.5 Industry Rivalry      
    13.2 AI in Education Market Share Analysis, 2018  
  14 TOP COMPANY PROFILES      
    14.1 Microsoft Corporation      
      14.1.1 Key Facts        
      14.1.2 Business Description    
      14.1.3 Key Product/Services Offerings  
      14.1.4 Growth Strategy      
      14.1.5 Microsoft in Education Sector    
      14.1.6 SWOT Analysis      
      14.1.7 Key Financials      
        14.1.7.1 Revenue Split, by Region and Segment
      14.1.8 Recent Developments    
        14.1.8.1 Product Launches    
        14.1.8.2 Partnerships (Strategic Alliance)  
        14.1.8.3 Business Expansions and Investments
    14.2 IBM Corporation        
      14.2.1 Key Facts        
      14.2.2 Business Description    
      14.2.3 Key Product/Services Offerings  
      14.2.4 Growth Strategy      
      14.2.5 IBM in Education sector    
      14.2.6 SWOT Analysis      
      14.2.7 Key Financials      
        14.2.7.1 Revenue Split, by Region and Segment
      14.2.8 Recent Developments    
        14.2.8.1 Product Launches    
        14.2.8.2 Partnership (Strategic Alliance)  
        14.2.8.3 Business Expansion and Investment
        14.2.8.4 Merger and Acquisition    
    14.3 Google Inc.        
      14.3.1 Key Facts        
      14.3.2 Business Description    
      14.3.3 Key Product/Services Offerings  
      14.3.4 Growth Strategy      
      14.3.1 Google in Education Sector    
        14.3.1.1 Some Initiative by Google For Education Sector
      14.3.2 SWOT Analysis      
      14.3.3 Key Financials      
        14.3.3.1 Revenue Split, by Region and Segment
      14.3.4 Recent Developments    
        14.3.4.1 Product Launches    
        14.3.4.2 Partnership (Strategic Alliance)  
        14.3.4.3 Business Expansion and Investment
        14.3.4.4 Google Mergers and Acquisition  
    14.4 SAP SE          
      14.4.1 Key Facts        
      14.4.2 Business Description    
      14.4.3 Key Product/Services Offerings  
      14.4.4 Growth Strategy      
      14.4.5 SWOT Analysis      
      14.4.6 Key Financials      
        14.4.6.1 Revenue Split, by Region and Segment
      14.4.7 Recent Developments    
        14.4.7.1 Product Launches    
        14.4.7.2 Partnership (Strategic Alliance)  
        14.4.7.3 Business Expansion and Investment
        14.4.7.4 Mergers and Acquisition  
    14.5 AT&T Inc.          
      14.5.1 Key Facts        
      14.5.2 Business Description    
      14.5.3 Key Product/Services Offerings  
      14.5.4 Growth Strategy      
      14.5.5 AT&T Aspire- The education hand  
      14.5.6 SWOT Analysis      
      14.5.7 Key Financials      
        14.5.7.1 Revenue Split, by Region and Segment
      14.5.8 Recent Developments    
        14.5.8.1 Product Launch    
        14.5.8.2 Partnership (Strategic Alliance)  
        14.5.8.3 Business Expansion and Investments
    14.6 Siemens AG        
      14.6.1 Key Facts        
      14.6.2 Business Description    
      14.6.3 Key Product/Services Offerings  
      14.6.4 Growth Strategy      
      14.6.5 Siemens in Education sector    
      14.6.6 SWOT Analysis      
      14.6.7 Key Financials      
        14.6.7.1 Revenue Split, by Region and Segment
      14.6.8 Recent Developments    
        14.6.8.1 Product Launch    
        14.6.8.2 Digitalization Concept of SCE Initiative
    14.7 Samsung Electronics Co., Ltd    
      14.7.1 Key Facts        
      14.7.2 Business Description    
      14.7.3 Key Product/Services Offerings  
      14.7.4 Growth Strategy      
      14.7.5 Samsung Educational Solutions  
        14.7.5.1 Samsung Goal for Education Sector  
        14.7.5.2 Products for Education Sector  
        14.7.5.3 Resources for Education    
      14.7.6 SWOT Analysis      
      14.7.7 Key Financials      
        14.7.7.1 Revenue Split, by Region and Segment
      14.7.8 Recent Developments    
        14.7.8.1 Product Launches    
        14.7.8.2 Partnership (Strategic Alliance)  
        14.7.8.3 Business Expansion and Investment
    14.8 Next IT Corporation      
      14.8.1 Key Facts        
      14.8.2 Business Description    
      14.8.3 Key Product/Services Offerings  
      14.8.4 Growth Strategy      
      14.8.5 SWOT Analysis      
      14.8.6 Recent Developments    
        14.8.6.1 Next IT Product Launches  
        14.8.6.2 Partnership (Strategic Alliance)  
    14.9 General Electric Company    
      14.9.1 Key Facts        
      14.9.2 Business Description    
      14.9.3 Key Product/Services Offerings  
      14.9.4 Growth Strategy      
        14.9.4.1 Financial Aspects and Strategy  
      14.9.1 GE Additive Education Program  
      14.9.2 SWOT Analysis      
      14.9.3 Key Financials      
        14.9.3.1 Revenue Split, by Region and Segment
      14.9.4 Recent Developments    
        14.9.4.1 Product Launches    
        14.9.4.2 Partnerships (Strategic Alliance)  
        14.9.4.3 Business Expansions and Investment
    14.1 Qualcomm Incorporated      
      14.10.1 Key Facts        
      14.10.2 Business Description    
      14.10.3 Key Product/Services Offerings  
      14.10.4 Growth Strategy      
        14.10.4.1 Education as a part of Strategy  
      14.10.1 Thinkabit Lab- The Education Sector Initiative
      14.10.2 SWOT Analysis      
      14.10.3 Key Financials      
        14.10.3.1 Revenue Split, by Region and Segment
      14.10.4 Recent Developments    
        14.10.4.1 Product Launches    
        14.10.4.2 Business Expansions and Investment

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

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

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