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教育向けビッグデータの世界市場

Big Data in Global Education Market 2021

発行 NAVADHI Market Research Pvt Ltd 商品コード 636697
出版日 ページ情報 英文 69 Pages
納期: 即日から翌営業日
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教育向けビッグデータの世界市場 Big Data in Global Education Market 2021
出版日: 2018年05月04日 ページ情報: 英文 69 Pages
概要

当レポートでは、世界の教育産業向けビッグデータの市場について分析し、教育機関/産業におけるビッグデータのニーズの大きさ・傾向や、ビッグデータ業界のバリューチェーン全体との関わり、主な市場促進・抑制要因、主要企業のプロファイル、代表的な実例、今後の市場機会の見通しなどを調査すると共に、業界関係者が取るべき行動に関する提言も盛り込んでお届けいたします。

第1章 エグゼクティブ・サマリー

第2章 教育産業におけるビッグデータのニーズ

  • 教育成果の改善
  • 一般向け・カスタム型プログラム
  • 効率性の評価
  • 学習経験の改善
  • 脱落率の軽減

第3章 ビッグデータ産業のバリューチェーン

  • 世界のビッグデータ市場の予測
  • 世界の教育向けビッグデータ市場の予測
  • 教育産業向けビッグデータ市場の予測:地域別
    • 北米
    • ラテンアメリカ
    • 欧州
    • アジア太平洋地域
    • 中東・アフリカ

第5章 教育産業向けビッグデータ市場:促進・抑制要因

  • 成長促進要因
  • 成長抑制要因

第6章 教育産業向けビッグデータ市場:主要企業のプロファイル

  • International Business Machines (IBM)
    • 企業プロファイル
    • ビッグデータのバリューチェーンにおける存在
    • 財務実績
    • 事業戦略
    • SWOT分析
  • Workday
  • SAP
  • Cisco Systems

第7章 教育産業におけるビッグデータ:ケーススタディ

  • Georgia State University:ビッグデータを活用した卒業率の改善
  • University of Kentucky:ビッグデータを通じた学生との関わり
  • University of Maryland:ビッグデータと学生行動

第8章 分析モデル

  • PEST分析
    • 政治的・経済的・社会的・技術的要因
  • SWOT分析
    • 強み、弱み、機会、脅威

第9章 市場機会

第10章 戦略提言

  • 教育機関向け
  • ビッグデータ・サプライヤー向け

第11章 付録

目次
Product Code: NAV0518002

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.Big Data in Education

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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: Big Data in Global Education Market 2021

  • 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.

Table of Contents

Table of Contents

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

COMPANIES COVERED

  • 1. IBM Limited
  • 2. Workday
  • 3. SAP
  • 4. Cisco
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