Big Data in Global Education Market 2021

Date: May 4, 2018
Pages: 69
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US$ 1,450.00
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Publisher: NAVADHI Market Research Pvt Ltd
Report type: Strategic Report
Delivery: E-mail Delivery (PDF)
ID: B4C4A4C2579EN
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Big Data in Global Education Market 2021
The importance of data analyzes for success of a company is inevitable. The analysis of huge amount of data be it structured or unstructured is playing a critical role in each and every aspect of business. This is the main reason for growth of the big data industry in the recent past and much more rigorous growth is expected in the future.

As far as education sector is concerned, it has got a market share of 5.4 trillion dollars globally and this is expected to rise. The big data is finding crucial applications in education industry like student engagement, predictive analytics, etc. to name a few.

The objective of this research study is to understand the current big data in education industry and to estimate the growth rate for the next 5 years.
  • The report covers the detailed analysis of 4 companies- their value chain, financial performance, and forecast, Business strategy, SWOT analysis which are involved in selling products and services in big data to the education industry and having presence across different regions of the world. The details of the company and certifications are also mentioned in this report.

    This report concludes by analyzing the industry through PESTLE, porters 5 forces and SWOT, discusses the challenges faced by the new players entering the industry and present and future trends observed. Strategic recommendations are also discussed separately and in detail for education institutions as well as big data service suppliers.

    Scope of Report
    • This report provides a detailed view of big data in education market with the current market value as well as projections for future market potential and growth rate.
    • This report identifies the need for big data in education industry
    • This report provides detailed information on the value chain as well as the different market segments and their segment wise market share and growth potential.
    • This report provides detailed information on geography wise growth forecasts for big data in education industry globally by 2021.
    • This report identifies the growth drivers and inhibitors for big data in education industry
    • This report has detailed profiles of 4 key players in the big data in education industry covering their business strategy, financial performance, future forecasts and SWOT analysis
    • This report identifies the key industry bodies and associations and their role in Indian food processing market.
    • This report provides PEST (political, economic, social and technological) analysis for big data in education industry.
    • This report provides porters five forces analysis for big data in education industry
    • This report provides SWOT (strength, weaknesses, opportunities, threats) analysis for big data in education industry.
  • 1. EXECUTIVE SUMMARY

    1.1 Research Objectives
    1.2 Research Methodology
    1.3 Key Findings
    1.4 Scope of Report

    2. NEED FOR BIG DATA IN EDUCATION INDUSTRY

    2.1 Result improvement
    2.2 Mass customized program
    2.3 Measuring effectiveness
    2.4 Better learning experience
    2.5 Reducing drop outs

    3. BIG DATA INDUSTRY VALUE CHAIN

    4.1 Global Big data Market Forecast till 2021
    4.2 Global Big Data Market in Education Till 2021
    4.3 Big Data in Education Industry Forecast by Geography
      4.3.1 North America
      4.3.2 Latin and South America
      4.3.3 Europe
      4.3.4 Asia Pacific
      4.3.5 Middle East and Africa

    5. GROWTH DRIVERS AND INHIBITORS FOR GLOBAL BIG DATA MARKET IN EDUCATION INDUSTRY

    5.1 Growth Drivers
      5.1.1 Delivering quality services
      5.1.2 Understanding learning process
      5.1.3 Improving operational efficiency
      5.1.4 Rising demand for data driven informed decisions
    5.2 Growth Inhibitors
      5.2.1 Issues of Privacy
      5.2.2 Claims beyond data
      5.2.3 Falsifying data
      5.2.4 Storage problems

    6. PROFILE OF KEY PLAYERS IN BIG DATA IN EDUCATION INDUSTRY

    6.1 International Business Machines (IBM)
      6.1.1 Company Profile
      6.1.2 IBM Limited in Big Data Value Chain
      6.1.3 Financial Performance of IBM Limited
      6.1.4 Business Strategy
      6.1.5 SWOT Analysis for IBM Limited
    Strengths
    Weaknesses
    Opportunities
    Threats
    6.2 Workday
      6.2.1 Company Profile
      6.2.2 Workday in Big Data Value Chain
      6.2.3 Financial Performance of Workday
      6.2.4 Business Strategy
      6.2.5 SWOT Analysis for Workday
    Strengths
    Weaknesses
    Opportunities
    Threats
    6.3 SAP
      6.3.1 Company Profile
      6.3.2 SAP Limited in Big Data Value Chain
      6.3.3 Financial Performance of SAP Limited
      6.3.4 Business Strategy
      6.3.5 SWOT Analysis for SAP Limited
    Strengths
    Weaknesses
    Opportunities
    Threats
    6.4 Cisco Systems
      6.4.1 Company Profile
      6.4.2 Cisco Systems in Big Data Market for Energy and Utility
        11.1.1.3 Financial Performance of Cisco Systems
      6.4.4 Business Strategy
      6.4.5 SWOT Analysis for Cisco Systems
    Strengths
    Weaknesses
    Opportunities
    Threats

    7. CASE STUDIES FOR BIG DATA IN EDUCATION INDUSTRY

    7.1 Georgia State University- Using Big Data to improve graduation rate
    7.2 Student Engagement through Big Data- University of Kentucky
    7.3 Big Data and student behavior-University of Maryland

    8. ANALYSIS MODELS

    8.1 PEST analysis
      8.1.1 Political
      8.1.2 Economic
      8.1.3 Social
      8.1.4 Technological
    Threat of new entrants
    Bargaining power of suppliers
    Bargaining power of buyers
    Rivalry amongst existing firms
    Threat of substitutes
    8.3 SWOT analysis
    Strengths
    Weaknesses
    Opportunities
    Threats

    9. MARKET OPPORTUNITY

    10. STRATEGIC RECOMMENDATIONS

    10.1 For Educational Institutions
    10.2 For Big Data Suppliers

    11. APPENDIX

    Questionnaire design

    LIST OF EXHIBITS

    Notes
    Company Information
    Exhibit 3.2.1 Global Big Data Industry Value Chain
    Exhibit 4.1 Forecast of Global Big Data Market 2017-21 (Billion Dollar)
    Exhibit 4.2 Global Big Data market in education till 2021
    Exhibit 4.3a Market Share of various Geographies in Global Big data market in education-2016
    Exhibit 4.3b Geography wise growth forecast for global big data market in education 2017-21
    Exhibit 4.3.1 Forecast of North America Big data Market in education 2017-21(Billion Dollar)
    Exhibit 4.3.2 Forecast of LASA Big data Market in education 2017-21(Billion Dollar)
    Exhibit 4.3.3 Forecast of Europe Big data Market in education 2017-21(Billion Dollar)
    Exhibit 4.3.4 Forecast of Asia Pacific Big data Market in education 2017-21(Billion Dollar)
    Exhibit 4.3.5 Forecast of MENA Big data Market in education 2017-21(Billion Dollar)
    Exhibit 5.1 Growth Drivers and Inhibitors for Global Big Data Market in Education
    Exhibit 6.1 Company Profile – IBM Limited
    Exhibit 6.2 Contact Details – IBM Limited
    Exhibit 6.3 IBM Limited in Big Data Value Chain
    Exhibit 6.4 IBM Revenue from 2012 to 2016 (in USD million)
    Exhibit 6.5 Year-wise IBM Revenue Growth from 2012 to 2016 (in %)
    Exhibit 6.6 Estimated IBM Revenue from 2016 to 2021 (in USD million)
    Exhibit 6.7 Estimated Year-wise IBM Revenue Growth from 2016 to 2021 (in %)
    Exhibit 6.8 SWOT Analysis of IBM Limited
    Exhibit 6.2.1 Company Profile – Workday
    Exhibit 6.2.2 Contact Details – Workday
    Exhibit 6.2.3 Workday in Big Data Value Chain
    Exhibit 6.2.4 Workday Revenue from 2012 to 2016 (in USD million)
    Exhibit 6.2.5 Year-wise Workday Revenue Growth from 2012 to 2016 (in %)
    Exhibit 6.2.6 Estimated Workday Revenue from 2016 to 2021 (in USD million)
    Exhibit 6.2.7 Estimated Year-wise Workday Revenue Growth from 2016 to 2021 (in %)
    Exhibit 6.2.8 SWOT Analysis of Workday
    Exhibit 6.3.1 Company Profile – SAP
    Exhibit 6.3.2 Contact Details – SAP
    Exhibit 6.3.3 SAP in Big Data Value Chain
    Exhibit 6.3.4 SAP Revenue from 2012 to 2016 (in USD million)
    Exhibit 6.3.5 Year-wise SAP Revenue Growth from 2012 to 2016 (in %)
    Exhibit 6.3.6 Estimated SAP Revenue from 2016 to 2021 (in USD million)
    Exhibit 6.3.7 Estimated Year-wise SAP Revenue Growth from 2016 to 2021 (in %)
    Exhibit 6.3.8 SWOT Analysis of SAP
    Exhibit 6.4.1 Company Profile – Cisco
    Exhibit 6.4.2 Contact Details – Cisco
    Exhibit 6.4.3 Cisco in Big Data Value Chain
    Exhibit 6.4.4 Cisco Revenue from 2012 to 2016 (in USD million)
    Exhibit 6.4.5 Year-wise Cisco Revenue Growth from 2012 to 2016 (in %)
    Exhibit 6.4.6 Estimated Cisco Revenue from 2016 to 2021 (in USD million)
    Exhibit 6.4.7 Estimated Year-wise Cisco Revenue Growth from 2016 to 2021 (in %)
    Exhibit 6.4.8 SWOT Analysis of Cisco
    Exhibit 8.2 Porters 5 forces Analysis for big data in education industry
    Exhibit 8.3 SWOT Analysis for big data in education industry

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