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Asia Big Data Analytics In Education Market

Asia Big Data Analytics in Education Market by Component (Solution and Services), Deployment Mode (On-premise and Cloud), and Application (Course Recommendation, Skill Assessment, Student Behavior Detection, and Others): Opportunity Analysis and Industry Forecast, 2021–2030

A13096
Pages: 163
Aug 2021 | 223 Views
   
Author(s) : Pramod Borasi, Shadaab Khan , Vineet Kumar
Tables: 66
Charts: 46
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COVID-19

Pandemic disrupted the entire world and affected many industries.

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Asia Big Data Analytics in Education Market Statistics - 2030

The Asia big data analytics in education market size was valued at $2.89 billion in 2020, and is projected to reach $16.51 billion by 2030, growing at a CAGR of 19.3% from 2021 to 2030. Big data analytics empowers educators to enhance the performance of students and helps teachers in classrooms for adopting suitable teaching policy for their students. In addition, many organizations, schools, and colleges have an unmanageable student-related data; thus, big data analytics helps in handling such types of data and providing useful information from it. 

COVID-19 pandemic is expected to positively impact the growth rate of the Asia big data analytics in education market, owing to increase in adoption of online classes across Asia-Pacific countries and surge in adoption of analytics solutions among the educational institutions for enhanced marketing of their courses.

Various educational sectors across the world have adopted big data analytics to evaluate student’s performance, personalize their learning experience, and design various new courses for students. Big data analytics technology in the education industry offers numerous applications such as evaluating the grades of students in the class and identifying the student performance during the interview process. In addition, increase in online education system among students, rise in government initiatives to identify the student performance, and improving the student educational presentation are expected to drive the growth of the Asia big data analytics in education market.

Asia-Big-Data-Analytics-in-Education-Market

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Rise need for data-driven decisions to improve education quality and increase in awareness about the changing learning system boost the growth of the Asia big data analytics in education market. In addition, rise in investment among education institutions positively impacts Asia big data analytics in education market growth. However, factors such lack of awareness and skilled resources to manage education analytics solution is expected to hamper the market growth. On the contrary, advent of machine learning and artificial intelligence and surge in adoption of cloud-based learning analytics solution are expected to offer remunerative opportunities for the expansion of the market during the forecast period.

By component, the solution segment garnered the market share, and is expected to continue to grow in the upcoming years, owing to rise in need for learning analytics solutions among educational institutions and surge in demand for big data analytics solution among parents for tracking performance of their children. However, the services segment is expected to grow at the fastest rate, owing to increase in need among educational institutes for services to ensure effective functioning of software and platforms throughout the process.

On the basis of deployment mode, the on-premise segment garnered the largest market share, and is expected to continue grow in the upcoming years, owing to increase in security of personal information of students; availability of massive volume of datasets about the scholars grading information; and rise in use of digital education platform across China, Japan, and India. However, the cloud segment is expected exhibit the fastest rate, owing to superior control over access to application and sensitive information from distant locations and low maintenance requirements.

The report focuses on growth prospects, restraints, and trends of the Asia big data analytics in education market analysis. The study provides Porter’s five forces analysis to understand impact of various factors, such as bargaining power of suppliers, competitive intensity of competitors, threat of new entrants, threat of substitutes, and bargaining power of buyers on the Asia big data analytics in education market share.

Segment review

The Asia big data analytics in education market is segmented into component, deployment mode, application, and country. By component, the market is bifurcated into solution and service. Depending on deployment mode, it is categorized as on-premise and online. On the basis of application, it is categorized into course recommendation, skill assessment, student behavior detection, and others. Country wise, the market is analyzed across China, India, Japan, South Korea, Singapore, Sri Lanka, and rest of Asia-Pacific.

Asia Big Data Analytics in Education Market
By Component

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solution is projected as one of the most lucrative segments.

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The key players profiled in the Asia big data analytics in education industry are Alteryx, Inc., Blackboard, Inc., D2L Corporation, IBM Corporation, Microsoft Corporation, Oracle Corporation, SAP SE, SAS Institute, Tableau Software and TIBCO Software. These players have adopted various strategies to increase their market penetration and strengthen their position in the Asia big data analytics in education industry.

Impact of COVID-19 on Big Data Analytics in Education Market in Asia-

The Asia-Pacific big data analytics in education market has witnessed significant growth in the past few years, and is expected to continue to grow during the outbreak of COVID-19 pandemic. This is attributed to implementation of lockdown by governments in majority of the countries and rise in adoption of online teaching culture among students & teachers. In addition, post COVID-19, it is expected that big data and cloud technology will be preferred by various education institutions to evaluate students’ performance in future and help them to search relevant jobs of their interest. Moreover, rise in government initiatives to boost the education industry across Asia-Pacific is expected to fuel the growth of the market. Furthermore, rise in number of large and complex datasets across the education industries, rapid increase in use of digital technology among students, and incorporation of artificial intelligence and machine learning-based data analytics solutions are some of the factors boosting the Asia-Pacific big data and business analytics in education market. In addition, machine learning algorithm offers several applications for the education industries, which include evaluating student skill assessment and identifying student mind set, thereby augmenting the growth of the market.

Asia Big Data Analytics in Education Market
By Deployment Model

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On premise is projected as one of the most lucrative segments.

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Top impacting factors

Increase in awareness about the changing learning system

Big data has become an essential part of the educational sector, owing to exponential increase in urban population, rise in government spending on education, and surge in internet penetration among pre-schools and higher secondary schools. In addition, analytics in the education sector has led to increase in creative skills of students as well as their enthusiasm toward studies, which promotes the growth of the

Asia big data analytics in education market. 

Moreover, with surge in adoption of big data analytics in the education sector, schools are able to track the student dropouts using big data analytics and are trying to address the dropout students with financial help or counselling, which, in turn, propels the growth of the market. For instance, Microsoft is helping the Andhra Pradesh State Government in India for predicting dropouts of students in school education using machine learning and analytics, and has identified about 19,500 portable dropouts from the government schools in Vishakhapatnam district, which is driving the growth of the market. Furthermore, rise in awareness about the benefits of big data analytics among various educational institutions in developing nations of Asia-Pacific and rapid adoption of technological tools among various educational institutes to improve teaching process notably contribute toward the growth of the market. In addition, analytics tools and platforms play an important role to provide access to data and resources available anywhere in the world, which eventually drives the growth of the market.

Asia Big Data Analytics in Education Market
By Application

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Course Recommendation is projected as one of the most lucrative segments.

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Rise in investment among education institutions

Increase in investment among the education sector for adopting advanced technology to offer future trends to students and to reshape academic programs drives the growth of the market. In addition, the developing countries such as India, China, and Japan are rapidly investing in advanced technology for improving their education sector as well as to improve the quality of the education. In addition, the Government of India has allowed 100% Foreign Direct Investment (FDI) in the education sector to support research in artificial intelligence, IoT, big data, cybersecurity machine learning, and robotics, which, in turn, promotes the growth of the market.

Moreover, with adoption of advanced technologies such as robotics and machine learning, students are able to choose right courses and career paths, which propels the market growth. Furthermore, with the outbreak of the COVID-19 pandemic, various education institutes are investing heavily for adopting advanced technologies to cope up with the changing education system, which propels the growth of the market. For instance, in 2020, India's Ed-tech sector has seen an investment of $2.1 billion to improve e-learning using advanced technologies such as artificial intelligence and big data analytics. Thus, increase in number of such developments across developing nations of Asia-Pacific are anticipated to offer remunerative opportunities for the expansion of the market during the forecast period.

Asia Big Data Analytics in Education Market
By Country

2030
Japan 
China
India
South Korea
Singapore
Sri Lanka
Rest Of Asia

India would exhibit the highest CAGR of 27.4% during 2021-2030.

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Key Benefits For Stakeholders     

  • The study provides an in-depth analysis of the Asia big data analytics in education market forecast along with the current trends and future estimations to explain the imminent investment pockets.
  • Information about key drivers, restraints, & opportunities and their impact analysis on the Asia big data analytics in education market trends is provided in the report.
  • Porter’s five forces analysis illustrates the potency of the buyers and suppliers operating in the industry.
  • The quantitative analysis of the market from 2021 to 2030 is provided to determine the market potential.

Key Market Segments

By Component

  • Solution
  • Services

By Deployment Mode

  • On-premise
  • Cloud

By Application

  • Course Recommendation
  • Skill Assessment
  • Student Behavior Detection
  • Others

By Country

  • China
  • India
  • Japan
  • South Korea
  • Singapore
  • Sri Lanka
  • Rest of Asia-Pacific

Key Market Players

  • Alteryx, Inc.
  • Blackboard, Inc.
  • D2L Corporation
  • IBM Corporation
  • Microsoft Corporation
  • Oracle Corporation
  • SAP SE
  • SAS Institute
  • Tableau Software
  • TIBCO Software
 

CHAPTER 1:INTRODUCTION

1.1.Report description
1.2.Key benefits for stakeholders
1.3.Key market segments
1.4.Research methodology

1.4.1.Secondary research
1.4.2.Primary research
1.4.3.Analyst tools & models

CHAPTER 2:EXECUTIVE SUMMARY

2.1.Key findings

2.1.1.Top impacting factors

2.2.CXO perspective

CHAPTER 3:MARKET OVERVIEW

3.1.Market definition and scope
3.2.Key forces shaping the Asia big data analytics in education market
3.3.Industry roadmap
3.4.Market dynamics

3.4.1.Drivers

3.4.1.1.Rise need for data-driven decisions to improve education quality
3.4.1.2.Increase in awareness about the changing learning system
3.4.1.3.Rise in investment among education institutions

3.4.2.Restraint

3.4.2.1.Lack of awareness and skilled resources to manage education analytics solution

3.4.3.Opportunities

3.4.3.1.Advent of machine learning and artificial intelligence
3.4.3.2.Surge in adoption of cloud-based learning analytics solution

3.5.COVID-19 impact analysis on the Asia-Pacific big data and business analytics in education market

3.5.1.Impact on the market size
3.5.2.Consumer trends, preferences, and budget impact
3.5.3.Economic impact
3.5.4.Strategies to tackle negative impact
3.5.5.Opportunity window

CHAPTER 4:ASIA-PACIFICBIG DATA IN EDUCATION MARKET, BY COMPONENT

4.1.Overview
4.2.Solution

4.2.1.Key market trends, growth factors, and opportunities
4.2.2.Market size and forecast, by region

4.3.Service

4.3.1.Key market trends, growth factors, and opportunities
4.3.2.Market size and forecast, by region

CHAPTER 5:ASIA-PACIFICBIG DATA IN EDUCATION MARKET, BY DEPLOYMENT MODEL OVERVIEW

5.1.On-premise

5.1.1.Key market trends, growth factors, and opportunities

5.1.2.Market size and forecast, by region

5.2.Cloud

5.2.1.Key market trends, growth factors, and opportunities
5.2.2.Market size and forecast, by region

CHAPTER 6:ASIA-PACIFIC BIG DATA IN EDUCATION MARKET, BY APPLICATION

6.1.Overview
6.2.Course recommendation

6.2.1.Key market trends, growth factors, and opportunities
6.2.2.Market size and forecast, by region

6.3.Skill assessment

6.3.1.Key market trends, growth factors, and opportunities
6.3.2.Market size and forecast, by region

6.4.Student behavior detection

6.4.1.Key market trends, growth factors, and opportunities
6.4.2.Market size and forecast, by region

6.5.Others

6.5.1.Key market trends, growth factors, and opportunities
6.5.2.Market size and forecast, by region

CHAPTER 7:BIG DATA IN EDUCATION MARKET, BY COUNTRY

7.1.Overview

7.1.1.Market size and forecast, by country

7.2.China

7.2.1.Market size and forecast, by component
7.2.2.Market size and forecast, by deployment model
7.2.3.Market size and forecast, by application

7.3.India

7.3.1.Market size and forecast, by component
7.3.2.Market size and forecast, by deployment model
7.3.3.Market size and forecast, by application

7.4.Japan

7.4.1.Market size and forecast, by component
7.4.2.Market size and forecast, by deployment model
7.4.3.Market size and forecast, by application

7.5.South Korea

7.5.1.Market size and forecast, by component
7.5.2.Market size and forecast, by deployment model
7.5.3.Market size and forecast, by application

7.6.Singapore

7.6.1.Market size and forecast, by component
7.6.2.Market size and forecast, by deployment model
7.6.3.Market size and forecast, by application

7.7.Sri Lanka

7.7.1.Market size and forecast, by component
7.7.2.Market size and forecast, by deployment model
7.7.3.Market size and forecast, by application

7.8.Rest of Asia-Pacific

7.8.1.Market size and forecast, by component
7.8.2.Market size and forecast, by deployment model
7.8.3.Market size and forecast, by application

CHAPTER 8:COMPETITIVE LANDSCAPE

8.1.Key players positioning analysis, 2020
8.2.Competitive dashboard
8.3.Top winning strategies

CHAPTER 9:COMPANY PROFILE

9.1.ALTERYX, INC.

9.1.1.Company overview
9.1.2.Key executives
9.1.3.Company snapshot
9.1.4.Product portfolio
9.1.5.R&D expenditure
9.1.6.Business performance
9.1.7.Key strategic moves and developments

9.2.BLACKBOARD INC.

9.2.1.Company overview
9.2.2.Key executives
9.2.3.Company snapshot
9.2.4.Product portfolio
9.2.5.Key strategic moves and developments

9.3.D2L CORPORATION

9.3.1.Company overview
9.3.2.Key executives
9.3.3.Company snapshot
9.3.4.Product portfolio
9.3.5.Key strategic moves and developments

9.4.IBM CORPORATION

9.4.1.Company overview
9.4.2.Key executives
9.4.3.Company snapshot
9.4.4.Operating business segments
9.4.5.Product portfolio
9.4.6.Business performance
9.4.7.Key strategic moves and developments

9.5.MICROSOFT CORPORATION

9.5.1.Company overview
9.5.2.Key executive
9.5.3.Company snapshot
9.5.4.Operating business segments
9.5.5.Product portfolio
9.5.6.R&D expenditure
9.5.7.Business performance
9.5.8.Key strategic moves and developments

9.6.ORACLE CORPORATION

9.6.1.Company overview
9.6.2.Key executive
9.6.3.Company snapshot
9.6.4.Operating business segments
9.6.5.Product portfolio
9.6.6.R&D expenditure
9.6.7.Business performance
9.6.8.Key strategic moves and developments

9.7.SAP SE

9.7.1.Company overview
9.7.2.Key executives
9.7.3.Company snapshot
9.7.4.Product portfolio
9.7.5.R&D expenditure
9.7.6.Business performance
9.7.7.Key strategic moves and developments

9.8.SAS INSTITUTE

9.8.1.Company overview
9.8.2.Key executives.
9.8.3.Company snapshot
9.8.4.Product portfolio
9.8.5.Key strategic moves and developments

9.9.TABLEAU SOFTWARE

9.9.1.Company overview
9.9.2.Key executives
9.9.3.Company snapshot
9.9.4.Product portfolio
9.9.5.R&D expenditure
9.9.6.Business performance
9.9.7.Key strategic moves and developments

9.10.TIBCO SOFTWARE

9.10.1.Company overview
9.10.2.Key executives
9.10.3.Company snapshot
9.10.4.Product portfolio
9.10.5.Key strategic moves and developments

LIST OF TABLES

TABLE 01.ASIA-PACIFICBIG DATA IN EDUCATION MARKET REVENUE, BY COMPONENT , 2020–2030 ($MILLION)
TABLE 02.ASIA-PACIFICBIG DATA IN EDUCATION MARKET REVENUE FOR SOLUTION, BY COUNTRY, 2020–2030 ($MILLION)
TABLE 03.ASIA-PACIFICBIG DATA IN EDUCATION MARKET REVENUE FOR SERVICE, BY COUNTRY, 2020–2030 ($MILLION)
TABLE 04.ASIA-PACIFICBIG DATA IN EDUCATION MARKET REVENUE, BY DEPLOYMENT MODEL , 2020–2030 ($MILLION)
TABLE 05.ASIA-PACIFICBIG DATA IN EDUCATION MARKET REVENUE FOR ON-PREMISE DEPLOYMENT, BY COUNTRY, 2020–2030 ($MILLION)
TABLE 06.ASIA-PACIFICBIG DATA IN EDUCATION MARKET REVENUE FOR CLOUD-BASED DEPLOYMENT, BY COUNTRY, 2020–2030 ($MILLION)
TABLE 07.ASIA-PACIFIC BIG DATA IN EDUCATION MARKET REVENUE, BY APPLICATION , 2020–2030 ($MILLION)
TABLE 08.ASIA-PACIFICBIG DATA IN EDUCATION MARKET REVENUE FOR COURSE RECOMMENDATION, BY COUNTRY, 2020–2030 ($MILLION)
TABLE 09.ASIA-PACIFIC BIG DATA IN EDUCATION MARKET REVENUE FOR SKILL ASSESSMENT, BY COUNTRY, 2020–2030 ($MILLION)
TABLE 10.ASIA-PACIFICBIG DATA IN EDUCATION MARKET REVENUE FOR STUDENT BEHAVIOR DETECTION, BY COUNTRY, 2020–2030 ($MILLION)
TABLE 11.ASIA-PACIFIC BIG DATA IN EDUCATION MARKET REVENUE FOR OTHERS, BY COUNTRY, 2020–2030 ($MILLION)
TABLE 12.ASIA-PACIFIC BIG DATA IN EDUCATION MARKET REVENUE, BY COUNTRY, 2020–2030 ($MILLION)
TABLE 13.CHINA BIG DATA IN EDUCATION MARKET REVENUE, BY COMPONENT, 2020–2030 ($MILLION)
TABLE 14.CHINA BIG DATA IN EDUCATION MARKET REVENUE, BY DEPLOYMENT MODEL, 2020–2030 ($MILLION)
TABLE 15.CHINA BIG DATA IN EDUCATION MARKET REVENUE, BY APPLICATION, 2020–2030 ($MILLION)
TABLE 16.INDIA BIG DATA IN EDUCATION MARKET REVENUE, BY COMPONENT, 2020–2030 ($MILLION)
TABLE 17.INDIA BIG DATA IN EDUCATION MARKET REVENUE, BY DEPLOYMENT MODEL, 2020–2030 ($MILLION)
TABLE 18.INDIA BIG DATA IN EDUCATION MARKET REVENUE, BY APPLICATION, 2020–2030 ($MILLION)
TABLE 19.JAPAN BIG DATA IN EDUCATION MARKET REVENUE, BY COMPONENT, 2020–2030 ($MILLION)
TABLE 20.JAPAN BIG DATA IN EDUCATION MARKET REVENUE, BY DEPLOYMENT MODEL, 2020–2030 ($MILLION)
TABLE 21.JAPAN BIG DATA IN EDUCATION MARKET REVENUE, BY APPLICATION, 2020–2030 ($MILLION)
TABLE 22.SOUTH KOREA BIG DATA IN EDUCATION MARKET REVENUE, BY COMPONENT, 2020–2030 ($MILLION)
TABLE 23.SOUTH KOREA BIG DATA IN EDUCATION MARKET REVENUE, BY DEPLOYMENT MODEL, 2020–2030 ($MILLION)
TABLE 24.SOUTH KOREA BIG DATA IN EDUCATION MARKET REVENUE, BY APPLICATION, 2020–2030 ($MILLION)
TABLE 25.SINGAPORE BIG DATA IN EDUCATION MARKET REVENUE, BY COMPONENT, 2020–2030 ($MILLION)
TABLE 26.SINGAPORE BIG DATA IN EDUCATION MARKET REVENUE, BY DEPLOYMENT MODEL, 2020–2030 ($MILLION)
TABLE 27.SINGAPORE BIG DATA IN EDUCATION MARKET REVENUE, BY APPLICATION, 2020–2030 ($MILLION)
TABLE 28.SRI LANKA BIG DATA IN EDUCATION MARKET REVENUE, BY COMPONENT, 2020–2030 ($MILLION)
TABLE 29.SRI LANKA BIG DATA IN EDUCATION MARKET REVENUE, BY DEPLOYMENT MODEL, 2020–2030 ($MILLION)
TABLE 30.SRI LANKA BIG DATA IN EDUCATION MARKET REVENUE, BY APPLICATION, 2020–2030 ($MILLION)
TABLE 31.REST OF ASIA-PACIFIC BIG DATA IN EDUCATION MARKET REVENUE, BY COMPONENT, 2020–2030 ($MILLION)
TABLE 32.REST OF ASIA-PACIFIC BIG DATA IN EDUCATION MARKET REVENUE, BY DEPLOYMENT MODEL, 2020–2030 ($MILLION)
TABLE 33.REST OF ASIA-PACIFIC BIG DATA IN EDUCATION MARKET REVENUE, BY APPLICATION, 2020–2030 ($MILLION)
TABLE 34.ALTERYX, INC.: KEY EXECUTIVES
TABLE 35.ALTERYX, INC.: COMPANY SNAPSHOT
TABLE 36.ALTERYX, INC.: PRODUCT PORTFOLIO
TABLE 37.BLACKBOARD INC.: KEY EXECUTIVES
TABLE 38.BLACKBOARD INC.: COMPANY SNAPSHOT
TABLE 39.BLACKBOARD INC.: PRODUCT PORTFOLIO
TABLE 40.D2L CORPORATION.: KEY EXECUTIVES
TABLE 41.D2L CORPORATION: COMPANY SNAPSHOT
TABLE 42.D2L CORPORATION: PRODUCT PORTFOLIO
TABLE 43.INTERNATIONAL BUSINESS MACHINES CORPORATION: KEY EXECUTIVES
TABLE 44.INTERNATIONAL BUSINESS MACHINES CORPORATION: COMPANY SNAPSHOT
TABLE 45.INTERNATIONAL BUSINESS MACHINES CORPORATION: OPERATING SEGMENTS
TABLE 46.INTERNATIONAL BUSINESS MACHINES CORPORATION: PRODUCT PORTFOLIO
TABLE 47.MICROSOFT CORPORATION: KEY EXECUTIVE
TABLE 48.MICROSOFT CORPORATION: COMPANY SNAPSHOT
TABLE 49.MICROSOFT CORPORATION: OPERATING SEGMENTS
TABLE 50.MICROSOFT CORPORATION: PRODUCT PORTFOLIO
TABLE 51.ORACLE CORPORATION: KEY EXECUTIVE
TABLE 52.ORACLE CORPORATION: COMPANY SNAPSHOT
TABLE 53.ORACLE CORPORATION: OPERATING SEGMENTS
TABLE 54.ORACLE CORPORATION: PRODUCT PORTFOLIO
TABLE 55.SAP SE: KEY EXECUTIVES
TABLE 56.SAP SE: COMPANY SNAPSHOT
TABLE 57.SAP SE: PRODUCT PORTFOLIO
TABLE 58.SAS INSTITUTE, INC.: KEY EXECUTIVES
TABLE 59.SAS INSTITUTE, INC.: COMPANY SNAPSHOT
TABLE 60.SAS INSTITUTE, INC.: PRODUCT PORTFOLIO
TABLE 61.TABLEAU SOFTWARE: KEY EXECUTIVES
TABLE 62.TABLEAU SOFTWARE: COMPANY SNAPSHOT
TABLE 63.TABLEAU SOFTWARE: PRODUCT PORTFOLIO
TABLE 64.TIBCO SOFTWARE INC.: KEY EXECUTIVES
TABLE 65.TIBCO SOFTWARE INC.: COMPANY SNAPSHOT
TABLE 66.TIBCO SOFTWARE INC.: PRODUCT PORTFOLIO

LIST OF FIGURES

FIGURE 01.KEY MARKET SEGMENTS
FIGURE 02.ASIA BIG DATA ANALYTICS IN EDUCATION MARKET SNAPSHOT, BY SEGMENTATION, 2020–2030
FIGURE 03.ASIA BIG DATA ANALYTICS IN EDUCATION MARKET SNAPSHOT, BY COUNTRY, 2020–2030
FIGURE 04.TOP IMPACTING FACTORS
FIGURE 05.LOW-TO-MODERATE BARGAINING POWER OF SUPPLIERS
FIGURE 06.LOW-TO-HIGH BARGAINING POWER OF BUYERS
FIGURE 07.LOW-TO-MODERATE THREAT OF SUBSTITUTES
FIGURE 08.MODERATE-TO-HIGH THREAT OF NEW ENTRANTS
FIGURE 09.MODERATE-TO-HIGH COMPETITIVE RIVALRY
FIGURE 10.ASIA-PACIFICBIG DATA IN EDUCATION MARKET REVENUE, BY COMPONENT, 2020–2030 ($MILLION)
FIGURE 11.ASIA-PACIFICBIG DATA IN EDUCATION MARKET REVENUE, BY DEPLOYMENT MODEL, 2020–2030 ($MILLION)
FIGURE 12.ASIA-PACIFIC BIG DATA IN EDUCATION MARKET REVENUE, BY APPLICATION, 2020–2030 ($MILLION)
FIGURE 13.CHINA BIG DATA AND BUSINESS ANALYTICS MARKET REVENUE, 2020-2030 ($MILLION)
FIGURE 14.INDIA BIG DATA AND BUSINESS ANALYTICS MARKET REVENUE, 2020-2030 ($MILLION)
FIGURE 15.JAPAN BIG DATA AND BUSINESS ANALYTICS MARKET REVENUE, 2020-2030 ($MILLION)
FIGURE 16.SOUTH KOREA BIG DATA AND BUSINESS ANALYTICS MARKET REVENUE, 2020-2030 ($MILLION)
FIGURE 17.SINGAPORE BIG DATA AND BUSINESS ANALYTICS MARKET REVENUE, 2020-2030 ($MILLION)
FIGURE 18.SRI LANKA BIG DATA AND BUSINESS ANALYTICS MARKET REVENUE, 2020-2030 ($MILLION)
FIGURE 19.REST OF ASIA-PACIFIC BIG DATA AND BUSINESS ANALYTICS MARKET REVENUE, 2020-2030 ($MILLION)
FIGURE 20.KEY PLAYER POSITIONING ANLYSIS: ASIA BIG DATA ANALYTICS IN EDUCATION MARKET
FIGURE 21.COMPETITIVE DASHBOARD
FIGURE 22.COMPETITIVE DASHBOARD
FIGURE 23.COMPETITIVE HEATMAP OF KEY PLAYERS
FIGURE 24.TOP WINNING STRATEGIES, BY YEAR, 2018-2021
FIGURE 25.TOP WINNING STRATEGIES, BY DEVELOPMENT, 2018-2021
FIGURE 26.TOP WINNING STRATEGIES, BY COMPANY, 2018-2021
FIGURE 27.R&D EXPENDITURE, 2018–2020 ($MILLION)
FIGURE 28.ALTERYX, INC.: REVENUE, 2018–2020 ($MILLION)
FIGURE 29.ALTERYX, INC.: REVENUE SHARE BY REGION, 2020 (%)
FIGURE 30.INTERNATIONAL BUSINESS MACHINES CORPORATION: REVENUE, 2018–2020 ($MILLION)
FIGURE 31.INTERNATIONAL BUSINESS MACHINES CORPORATION: REVENUE SHARE BY SEGMENT, 2020 (%)
FIGURE 32.INTERNATIONAL BUSINESS MACHINES CORPORATION: REVENUE SHARE BY REGION, 2020 (%)
FIGURE 33.R&D EXPENDITURE, 2018–2020 ($MILLION)
FIGURE 34.MICROSOFT CORPORATION: REVENUE, 2018–2020 ($MILLION)
FIGURE 35.MICROSOFT CORPORATION: REVENUE SHARE BY SEGMENT, 2020(%)
FIGURE 36.MICROSOFT CORPORATION: REVENUE SHARE BY REGION, 2020(%)
FIGURE 37.R&D EXPENDITURE, 2018–2020 ($MILLION)
FIGURE 38.ORACLE CORPORATION: REVENUE, 2018–2020 ($MILLION)
FIGURE 39.ORACLE CORPORATION: REVENUE SHARE BY SEGMENT, 2020 (%)
FIGURE 40.ORACLE CORPORATION: REVENUE SHARE BY REGION, 2020 (%)
FIGURE 41.R&D EXPENDITURE, 2018–2020 ($MILLION)
FIGURE 42.SAP SE: REVENUE, 2018–2020 ($MILLION)
FIGURE 43.SAP SE: REVENUE SHARE BY REGION, 2020 (%)
FIGURE 44.R&D EXPENDITURE, 2018–2020 ($MILLION)
FIGURE 45.SALESFORCE, INC.: REVENUE, 2018–2020 ($MILLION)
FIGURE 46.SALESFORCE, INC.: REVENUE SHARE BY REGION, 2020 (%)

 
 

In accordance with several interviews conducted of the top level CXOs, the adoption of big data analytics software has increased over the time to boost the decision-making capability and improve the business insights of the education sector. In addition, the ability of the big data analytics software to provide different opportunities for educational institutes and gain new insights to run the business efficiently is increasing its popularity among end users. For instance, Worcester Polytechnic Institute adopted big data analytics to improve their data analytics programs using real-time dashboards that gather and update student data profiles using multiple data points, from financial information to academic performance to help advisers and faculty provide better support to students.

The CXOs further added that strong economic growth of the developing nations such as China and India is expected to provide lucrative opportunities for the market growth. This is attributed to rise in number of tablets and smartphones users across countries such as China, India, and Indonesia. Moreover, government in Asia-Pacific is actively investing in big data analytics solutions and services, which is expected to significantly contribute toward the growth of the market. For instance, TIBCO Software Inc. announced new & enhanced capabilities for TIBCO Spotfire®, the analytics platform. The new capabilities of the platform help educational institutes to analyze massive data sets as well as enhance the performance of the individual by providing insights of data.

 

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