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Global Big Data Analytics in Education Market to reach USD 48.91 billion by the end of 2029.

Global Big Data Analytics in Education Market Size study & Forecast, by Component (Software and Services), by Deployment Model (On-premise and Cloud), by Application (Behavior Detection, Skill Assessment, Course Recommendation, Student Attrition Rate Detection, and Others), by Sector (K-12, Preschool, and Higher Education) and Regional Analysis, 2022-2029

Product Code: ICTEITS-16888200
Publish Date: 17-10-2022
Page: 200

Global Big Data Analytics in Education Market is valued at approximately USD 15.66 billion in 2021 and is anticipated to grow with a healthy growth rate of more than 15.3% over the forecast period 2022-2029. Big Data Analytics plays important role in Education sector. Data analysis is utilized in Education sector for taking data driven decisions. Big data analytics has applications in different aspects of Education management including development of customized education programs, skill assessment, behavior detection, tracking of academic performance, and designing of precise grading system for students. The growing expansion of big data analytics industry and rising internet penetration as well as strategic initiatives from leading market players are key factors accelerating the market growth.

According to Statista – in 2021, the global big data market was valued at USD 64 billion, and the market is projected to grow to USD 103 billion by 2027. Moreover, increasing internet penetration worldwide is another key factor driving market growth. For instance, as per Statista – in 2020 the number of internet users in India was estimated at 749 million, and the number of users is projected to grow to 1500 million by 2040. Also, increasing adoption of Data-driven decision-making (DDDM) and growing emergence of EdTech platforms would create lucrative growth prospectus for the market over the forecast period. However, high initial investment requirements coupled with lack of awareness & dearth of Skilled Resources hinder the market growth throughout the forecast period of 2022-2029.

The key regions considered for the Global Big Data Analytics in Education Market study include Asia Pacific, North America, Europe, Latin America, and Rest of the World. North America is the leading region in terms of market share owing to presence of leading market players and increasing utilization of big data analytics solutions in the region. Whereas, Asia Pacific is expected to grow significantly during the forecast period, owing to factors such as rising penetration of EdTech startups as well as increasing internet penetration in the region.

Major market players included in this report are:
Alteryx Inc.
Blackboard Inc.
Fintellix Solutions pvt. ltd.
LatentView Analytics
International Business Machines Corporation
Microsoft Corporation
Oracle Corporation
SAP SE
SAS Institute Inc.
Tableau Software
TIBCO Software Inc.

Recent Developments in the Market:
 In February 2029, Microsoft Corporation acquired DataSense data analytics platform for schools from San Francisco based edtech company BrightBytes. This new acquisition would enable Microsoft to develop data analytics tools for Educational Institutions.

 In May 2022, SchoolMint launched SchoolMint Insights, an enrolment-centric analytics platform. SchoolMint Insights combines data generated throughout the entire enrolment process. This platform is designed to offer enrolment trends and insights to US K-12 education organizations.

Global Big Data Analytics in Education Market Report Scope:
Historical Data 2019-2020-2021
Base Year for Estimation 2021
Forecast period 2022-2029
Report Coverage Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
Segments Covered Component, Deployment Model, Application, Sector, Region
Regional Scope North America; Europe; Asia Pacific; Latin America; Rest of the World
Customization Scope Free report customization (equivalent up to 8 analyst’s working hours) with purchase. Addition or alteration to country, regional & segment scope*

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.

The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:
By Component
Software
Services
By Deployment Model
On-premises
Cloud
By Application
Behavior Detection
Skill Assessment
Course Recommendation
Student Attrition Rate Detection
Others
By Sector
K-12
Preschool
Higher Education
By Region:
North America
U.S.
Canada
Europe
UK
Germany
France
Spain
Italy
ROE
Asia Pacific
China
India
Japan
Australia
South Korea
RoAPAC
Latin America
Brazil
Mexico
Rest of the World

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2019-2029 (USD Billion)
1.2.1. Big Data Analytics in Education Market, by Region, 2019-2029 (USD Billion)
1.2.2. Big Data Analytics in Education Market, by Component, 2019-2029 (USD Billion)
1.2.3. Big Data Analytics in Education Market, by Deployment Model, 2019-2029 (USD Billion)
1.2.4. Big Data Analytics in Education Market, by Application, 2019-2029 (USD Billion)
1.2.5. Big Data Analytics in Education Market, by Sector, 2019-2029 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Big Data Analytics in Education Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Scope of the Study
2.2.2. Industry Evolution
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Big Data Analytics in Education Market Dynamics
3.1. Big Data Analytics in Education Market Impact Analysis (2019-2029)
3.1.1. Market Drivers
3.1.1.1. Growing expansion of big data analytics industry
3.1.1.2. Rising internet penetration
3.1.1.3. Strategic initiatives from leading market players
3.1.2. Market Challenges
3.1.2.1. High initial investment requirement
3.1.2.2. Lack of Awareness and dearth of Skilled Resources
3.1.3. Market Opportunities
3.1.3.1. Increasing adoption of Data-driven decision-making (DDDM)
3.1.3.2. Growing emergence of EdTech platforms
Chapter 4. Global Big Data Analytics in Education Market Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.2. Futuristic Approach to Porter’s 5 Force Model (2019-2029)
4.3. PEST Analysis
4.3.1. Political
4.3.2. Economical
4.3.3. Social
4.3.4. Technological
4.4. Investment Adoption Model
4.5. Analyst Recommendation & Conclusion
4.6. Top investment opportunity
4.7. Top winning strategies
Chapter 5. Risk Assessment: COVID-19 Impact
5.1. Assessment of the overall impact of COVID-19 on the industry
5.2. Pre COVID-19 and post COVID-19 Market scenario
Chapter 6. Global Big Data Analytics in Education Market, by Component
6.1. Market Snapshot
6.2. Global Big Data Analytics in Education Market by Component, Performance – Potential Analysis
6.3. Global Big Data Analytics in Education Market Estimates & Forecasts by Component, 2019-2029 (USD Billion)
6.4. Big Data Analytics in Education Market, Sub Segment Analysis
6.4.1. Software
6.4.2. Services
Chapter 7. Global Big Data Analytics in Education Market, by Deployment Model
7.1. Market Snapshot
7.2. Global Big Data Analytics in Education Market by Deployment Model, Performance – Potential Analysis
7.3. Global Big Data Analytics in Education Market Estimates & Forecasts by Deployment Model, 2019-2029 (USD Billion)
7.4. Big Data Analytics in Education Market, Sub Segment Analysis
7.4.1. On-premises
7.4.2. Cloud
Chapter 8. Global Big Data Analytics in Education Market, by Application
8.1. Market Snapshot
8.2. Global Big Data Analytics in Education Market by Application, Performance – Potential Analysis
8.3. Global Big Data Analytics in Education Market Estimates & Forecasts by Application, 2019-2029 (USD Billion)
8.4. Big Data Analytics in Education Market, Sub Segment Analysis
8.4.1. Behavior Detection
8.4.2. Skill Assessment
8.4.3. Course Recommendation
8.4.4. Student Attrition Rate Detection
8.4.5. Others
Chapter 9. Global Big Data Analytics in Education Market, by Sector
9.1. Market Snapshot
9.2. Global Big Data Analytics in Education Market by Sector, Performance – Potential Analysis
9.3. Global Big Data Analytics in Education Market Estimates & Forecasts by Sector, 2019-2029 (USD Billion)
9.4. Big Data Analytics in Education Market, Sub Segment Analysis
9.4.1. K-12
9.4.2. Preschool
9.4.3. Higher Education
Chapter 10. Global Big Data Analytics in Education Market, Regional Analysis
10.1. Big Data Analytics in Education Market, Regional Market Snapshot
10.2. North America Big Data Analytics in Education Market
10.2.1. U.S. Big Data Analytics in Education Market
10.2.1.1. Component breakdown estimates & forecasts, 2019-2029
10.2.1.2. Deployment Model breakdown estimates & forecasts, 2019-2029
10.2.1.3. Application breakdown estimates & forecasts, 2019-2029
10.2.1.4. Sector breakdown estimates & forecasts, 2019-2029
10.2.2. Canada Big Data Analytics in Education Market
10.3. Europe Big Data Analytics in Education Market Snapshot
10.3.1. U.K. Big Data Analytics in Education Market
10.3.2. Germany Big Data Analytics in Education Market
10.3.3. France Big Data Analytics in Education Market
10.3.4. Spain Big Data Analytics in Education Market
10.3.5. Italy Big Data Analytics in Education Market
10.3.6. Rest of Europe Big Data Analytics in Education Market
10.4. Asia-Pacific Big Data Analytics in Education Market Snapshot
10.4.1. China Big Data Analytics in Education Market
10.4.2. India Big Data Analytics in Education Market
10.4.3. Japan Big Data Analytics in Education Market
10.4.4. Australia Big Data Analytics in Education Market
10.4.5. South Korea Big Data Analytics in Education Market
10.4.6. Rest of Asia Pacific Big Data Analytics in Education Market
10.5. Latin America Big Data Analytics in Education Market Snapshot
10.5.1. Brazil Big Data Analytics in Education Market
10.5.2. Mexico Big Data Analytics in Education Market
10.6. Rest of The World Big Data Analytics in Education Market

Chapter 11. Competitive Intelligence
11.1. Top Market Strategies
11.2. Company Profiles
11.2.1. Alteryx Inc.
11.2.1.1. Key Information
11.2.1.2. Overview
11.2.1.3. Financial (Subject to Data Availability)
11.2.1.4. Product Summary
11.2.1.5. Recent Developments
11.2.2. Blackboard Inc.
11.2.3. Fintellix Solutions pvt. ltd.
11.2.4. Latent View Analytics
11.2.5. International Business Machines Corporation
11.2.6. Microsoft Corporation
11.2.7. Oracle Corporation
11.2.8. SAP SE
11.2.9. SAS Institute Inc.
11.2.10. Tableau Software
11.2.11. TIBCO Software Inc.
Chapter 12. Research Process
12.1. Research Process
12.1.1. Data Mining
12.1.2. Analysis
12.1.3. Market Estimation
12.1.4. Validation
12.1.5. Publishing
12.2. Research Attributes
12.3. Research Assumption

The study of the market is incorporated by extensive primary and secondary research conducted by the research team at OMR. Secondary research has been conducted to refine the available data to breakdown the market in various segments, derive total market size, market forecast, and growth rate. Different approaches have been worked on to derive the market value and market growth rate. Our team collects facts and data related to the market from different geographies to provide a better regional outlook. In the report, country-level analysis is provided by analyzing various regional players, regional tax laws and policies, consumer behavior, and macro-economic factors. Numbers extracted from secondary research have been authenticated by conducting proper primary research. It includes tracking down key people from the industry and interviewing them to validate the data. Our analysts contact company executives, managers, key opinion leaders, and industry experts. This enables our analyst to derive the closest possible figures without any major deviations in the actual number.

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