表紙
市場調查報告書
商品編碼
1030759

全球自適應學習市場(2021-2028)

Global Adaptive Learning Market - 2021-2028

出版日期: | 出版商: DataM Intelligence | 英文 180 Pages | 商品交期: 約2個工作天內

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  • 全貌
  • 簡介
  • 目錄
簡介

教育領域對定制解決方案的需求推動了全球自適應學習市場的增長。適應性學習允許學校和大學生定制他們的學習模塊,以滿足他們的需求、學習方法和學習困難。世界各地的學生都可以從選擇適合他們口味和需求的課程和模塊中受益。

北美地區在全球自適應學習市場中擁有最大的市場份額,預計在預測期內將保持優勢。這種增長很可能與加拿大和美國等經濟和技術先進的國家以及新興技術有關。該地區的組織廣泛採用了與人工智能相結合的自適應學習平台,以根據每個人的需求主動定制內容。

本報告按市場規模、機會和影響、增長和限制因素、COVID-19 的影響、分流、部署、主題、模型、最終用戶和地區來檢查全球自適應學習市場。它提供了市場分析等信息、競爭條件和主要公司的簡介。

目錄

第 1 章全球自適應學習市場的研究方法和範圍

  • 調查方法
  • 調查的目的和範圍

第 2 章全球自適應學習市場-市場定義和概述

第 3 章全球自適應學習市場-執行摘要

  • 按類型劃分的市場細分
  • 按開發劃分的市場細分
  • 按主題劃分的市場細分
  • 按型號劃分的市場細分
  • 按最終用戶劃分的市場細分
  • 按地區劃分的市場細分

第 4 章全球自適應學習市場-市場動態

  • 影響市場的因素
    • 增長因素
    • 抑制因素
    • 市場機會
    • 影響分析

第 5 章全球自適應學習市場-行業分析

  • 波特五力分析
  • 供應鏈分析
  • 價格分析
  • 監管分析

第 6 章全球自適應學習市場-COVID-19 分析

  • 市場上的 COVID-19 分析
    • COVID-19 之前的市場情景
    • 當前市場情景
    • COVID-19 或更高版本或未來情況
  • COVID-19 的價格趨勢
  • 供需範圍
  • 大流行期間與市場相關的政府舉措
  • 製造商的戰略計劃
  • 結論

第 7 章全球自適應學習市場-按類型

  • 簡介
    • 市場規模分析及同比增長分析
    • 市場吸引力指數
  • 機器學習自適應系統
  • 高級算法自適應系統
  • 規則自適應系統
  • 決策樹自適應系統

第 8 章全球自適應學習市場-通過部署

  • 簡介
    • 市場規模分析及同比增長分析
    • 市場吸引力指數
  • 雲端基底
  • 本地
  • 混合

第 9 章全球自適應學習市場-按主題

  • 簡介
    • 市場規模分析及同比增長分析
    • 市場吸引力指數
  • 文學
  • 數學
  • 語言
  • 金融
  • 營銷
  • 函數式語言
  • 其他

第 10 章全球自適應學習市場-按模型

  • 簡介
    • 市場規模分析及同比增長分析
    • 市場吸引力指數
  • 專家模型
  • 學生模型
  • 教育模式

第 11 章全球自適應學習市場-由最終用戶

  • 簡介
    • 市場規模分析及同比增長分析
    • 市場吸引力指數
  • 教育機構
  • 在線課程提供商

第 12 章全球自適應學習市場-按地區

  • 簡介
  • 市場規模分析及同比增長分析
  • 市場吸引力指數
  • 北美
    • 簡介
    • 主要地區機械師
    • 按類型:市場規模分析和同比增長分析
    • 按發展:市場規模分析和同比增長分析
    • 按主題:市場規模分析和同比增長分析
    • 按模型:市場規模分析和同比增長分析
    • 最終用戶:市場規模分析和同比增長分析
    • 按國家/地區:市場規模分析和同比增長分析
  • 歐洲
    • 簡介
    • 主要地區機械師
    • 按類型:市場規模分析和同比增長分析
    • 按發展:市場規模分析和同比增長分析
    • 按主題:市場規模分析和同比增長分析
    • 按模型:市場規模分析和同比增長分析
    • 最終用戶:市場規模分析和同比增長分析
    • 按國家/地區:市場規模分析和同比增長分析
  • 南美洲
    • 簡介
    • 主要地區機械師
    • 按類型:市場規模分析和同比增長分析
    • 按發展:市場規模分析和同比增長分析
    • 按主題:市場規模分析和同比增長分析
    • 按模型:市場規模分析和同比增長分析
    • 最終用戶:市場規模分析和同比增長分析
    • 按國家/地區:市場規模分析和同比增長分析
  • 亞太地區
    • 簡介
    • 主要地區機械師
    • 按類型:市場規模分析和同比增長分析
    • 按發展:市場規模分析和同比增長分析
    • 按主題:市場規模分析和同比增長分析
    • 按模型:市場規模分析和同比增長分析
    • 最終用戶:市場規模分析和同比增長分析
    • 按國家/地區:市場規模分析和同比增長分析
  • 中東和非洲
    • 簡介
    • 主要地區機械師
    • 按類型:市場規模分析和同比增長分析
    • 按發展:市場規模分析和同比增長分析
    • 按主題:市場規模分析和同比增長分析
    • 按模型:市場規模分析和同比增長分析
    • 最終用戶:市場規模分析和同比增長分析

第 13 章全球自適應學習市場-競爭形勢

  • 競爭場景
  • 市場地位/份額分析
  • 併購分析

第 14 章全球自適應學習市場-企業概況

  • Pearson Learning
    • 公司簡介
    • 產品組合/概覽
    • 要點
    • 財務概覽
  • McGraw-Hill
  • D2L Corporation
  • CogBooks
  • Kaplan Inc.
  • DreamBox Learning
  • John Wiley & Sons, Inc
  • Desire2Learn
  • Cerego
  • Kidaptive

第 15 章全球自適應學習市場——重要考慮

第 16 章全球自適應學習市場-DataM

  • 附錄
  • 關於我們的公司和服務
  • 聯繫我們
目錄
Product Code: DMICT4094

Market Overview

The adaptive learning market size was worth US$ YY million in 2020 and is estimated to reach US$ YY million by 2028, growing at a CAGR of YY % during the forecast period (2021-2028).

Adaptive learning is tailored to computer-based algorithms to organize the interaction with the learner and present learning activities and customized resources to address the individual needs of each learner in the education sector. Adaptive learning systems are created to dynamically adapt to course content based on an individual student's skill attainment in ways that stimulate a learner's performance with automated and instructor interventions.

The adaptive systems are useful to address learning challenges such as diverse student backgrounds, varying student learning ability and resource limitations. The machine learning systems aim to utilize proficiency, discover what a student knows and logically move students through a sequential education path to guided learning outcomes and skill mastery. The market for adopting learning has been growing because of its numerous offerings such as one-to-one instruction, greater time efficiency, confidence-based approach, create individualized learning paths, personalized learning for a heterogeneous group and focused remediation.

Market Dynamics

The global adaptive learning market is driven by the need for tailored solutions in the education sector.

Need for tailored solutions in the education sector

With adaptive learning, students in schools and colleges can have learning modules tailored to their specific needs, ways of learning and learning difficulties. Adaptive learning is the future of education; students across the globe will benefit from selecting courses and modules that are tailored around how they prefer and need to learn. The utilization of adaptive learning lessens the gap between low and high performers and drives students towards mastery.

A recent Adaptemy company investigation concluded that using a system powered with adaptive and personalized learning experiences, students' maths ability increased by 8.3% on average per concept for an average of 5 minutes. Moreover, the growth progressed to 12.4% on average per concept. Everyone cannot absorb the knowledge a teacher is trying to provide the same way, so some learners will understand it, whereas others will struggle. These scenarios create the need for more advanced learning solutions, driving the demand for the adaptive learning market.

Blending adaptive learning with predictive analytics holds vast potential for enhancing students learning and producing positive learning outcomes. AI-based learning systems can gather and process large amounts of data from students learning activities, such as response latency, time spent on completing each task and assessment results. The data can recognize patterns and build predictive models that identify student needs and intensify the content delivered to every learner. Algorithms analyze data very faster than humans. So, students get the prompts, content and interventions, which vary in real-time based on their abilities and needs.

Cost of adaptive learning

The rising cost of adaptive learning can be a major factor restraining the adaptive learning market growth. Many educators have recognized the advantages of adaptive learning; the challenge is finding a way to implement it cost-effectively. The cost of adaptive learning has increased with ongoing technology upgrades, which is uneconomical for end-users to purchase these solutions. The budgets in various developing nations are particularly low are still low and do not allow educational institutes not to accommodate the technology.

Most adaptive systems are proprietary and also need high upfront costs to develop. Adaptive systems are available for few subject areas and are currently focused on a limited number of subjects. The scenarios are expected to restrain the market growth for the adaptive learning market.

Covid-19 Impact Analysis

Due to the pandemic, stakeholders across the adaptive learning industry have been growing exponentially. The pandemic has resulted in the closure of schools, causing learning loss among students, schools and EdTech platforms, which has increased the demand for adaptive learning management software. The closure of schools, universities and other learning institutes has impacted the majority world's student population, majorly in the lower-middle-income countries.

The scenarios mentioned above have resulted in extended adoption of adaptive and blended learning models, particularly in countries that have been adversely affected by Covid-19, to continue its pace of learning. The adoption of adaptive learning is predicted to continue beyond the pandemic and will succeed in new models being put in place. The pandemic and economic disruptions have changed the landscape for future work and adaptive learning technologies have the potential to support students pivot toward new careers.

Segment Analysis

By type, the adaptive learning market is segmented into machine learning-based adaptive systems, advanced algorithm adaptive systems, rules-based adaptive systems and decision-tree adaptive systems.

The machine learning-based adaptive systems are expected to grow due to their sophisticated scientific methods

The machine-learning based adaptive systems hold the largest market share for the adaptive learning market globally and are anticipated to continue their dominance in the forecast period. Machine-learning based adaptive platforms are one of the most sophisticated scientific methods to establish a truly adaptive state.

Machine learning is compatible with statistical modeling, pattern recognition, predictive analytics, statistical regularities and other forms of advanced adaptive capabilities. ML-based systems use programmed algorithms to build the adaptive science core and gain real-time predictions about a learner's subject matter mastery.

ML-based adaptive platforms utilize learning algorithms to build other algorithms, designing predictive analytics and adaptive sequences that can continuously gather data and apply it to move a student into a guided learning path. The ML learners regularly harvest data in real-time, discovering student's proficiency in mastering objective-specific content modules.

The data is then applied to alter the sequence of skills or the content type automatically. Learning algorithms generate analytical models intended to produce reliable, repeatable decisions and outcomes that reveal undiscovered insights in student mastery within the ongoing evaluation of historical relationships and data trends.

Geographical Analysis

North America holds the largest market share due to rapid adoption of new technologies in the education sector

North America region holds the largest market share for the adaptive learning market globally and is anticipated to continue its dominance in the forecast period. The growth can be associated with economically and technologically advanced countries such as Canada, U.S and emerging technologies. The regional organizations have been extensively adopting adaptive learning platforms coupled with AI to actively tailor content to each individual's needs. The region is rapidly adopting new technologies at the most accelerated pace and dominates the overall learning ecosystem to enhance skill sets and technicalities among students.

Moreover, the major growth drivers for the region are advancing collaborations and institutional partnerships between the institutes and top market players. For instance, in 2021, Cambridge University Press & Assessment has completed the acquisition of CogBooks, the pioneering online learning technology company. The step will help shape the future of education in an increasingly digital with adaptive learning by introducing its renowned teaching and learning content and global reach together with CogBooks' expertise in the field.

Moreover, in 2021, McGraw Hill has acquired Kidaptive, Inc., an adaptive learning platform company with expertise in early learning, learning science and data analytics. Kidaptive's team of learning scientists, data scientists and engineers will join the Center for Innovation within McGraw Hill's School group. The team will improve smarter and lighter student-centered solutions that will power personalized learning experiences.

Competitive Landscape

The adaptive learning market is moderately competitive with the introduction of new technologies in the education sector. The market is lead by global companies due to its wide range of customers in numerous countries, followed by the local companies contributing to the major share in the market growth.

In addition, some of the key players contributing to the market's growth are D2L Corporation., Pearson Education, CogBooks, Kaplan Inc., DreamBox Learning, John Wiley & Sons, Inc, Desire2Learn, Cerego, Knewton, Fishtree, Kidaptive and others. The major players are adopting various new strategies to dominate the market, such as launching new services, partnerships, acquisitions and collaborations, contributing to the global growth of the adaptive learning market.

Pearson Education

  • Overview: Pearson Education is a leading learning company with over 24,000 employees operating in more than 70 countries for providing educational content and assessment powered by technology and services. The company offers efficient services to enable effective teaching and personalized learning at scale.
  • Component Portfolio: The company owns various educational media brands, including Peachpit, Addison-Wesley, Prentice-Hall, eCollege, Scott Foresman, Longman and others for providing adaptive learning solutions.
  • Key Development: In 2020, Pearson completed the acquisition of digital learning technology from Smart Sparrow. The deal was valued at US$ 25 million for enhancing Pearson's capabilities in adaptive learning significantly and help in accelerating the roll-out of Pearson's Global Learning Platform.

Why Purchase the Report?

  • Visualize the segmentation of the adaptive learning market by type, deployment, subject, model, end-user and region, highlighting the key commercial assets and players.
  • Identify commercial opportunities in adaptive learning by analyzing trends and co-development deals.
  • Excel data sheet with thousands of data points of adaptive learning market-level 4/5 segmentation.
  • PDF report with the most relevant analysis cogently put together after exhaustive qualitative interviews and in-depth market study.
  • Component mapping in excel for the key product of all major market players

The global adaptive learning market report would provide access to an approx: 77 market data tables, 76 figures and 180 pages.

Target Audience

  • Service Providers/ Buyers
  • Manufacturers
  • Colleges
  • Schools
  • EdTech Companies
  • Distributors
  • Industry Investors/Investment Bankers
  • Research Professionals
  • Emerging Companies
  • Manufacturers

Table of Contents

1. Global Adaptive Learning Market Methodology and Scope

  • 1.1. Research Methodology
  • 1.2. Research Objective and Scope of the Report

2. Global Adaptive Learning Market - Market Definition and Overview

3. Global Adaptive Learning Market - Executive Summary

  • 3.1. Market Snippet by Type
  • 3.2. Market Snippet by Deployment
  • 3.3. Market Snippet by Subject
  • 3.4. Market Snippet by Model
  • 3.5. Market Snippet by End-User
  • 3.6. Market Snippet by Region

4. Global Adaptive Learning Market-Market Dynamics

  • 4.1. Market Impacting Factors
    • 4.1.1. Drivers
      • 4.1.1.1. Need for tailored solutions in the education sector
      • 4.1.1.2. XX
    • 4.1.2. Restraints:
      • 4.1.2.1. Cost of adaptive learning
      • 4.1.2.2. XX
    • 4.1.3. Opportunity
    • 4.1.4. Impact Analysis

5. Global Adaptive Learning Market - Industry Analysis

  • 5.1. Porter's Five Forces Analysis
  • 5.2. Supply Chain Analysis
  • 5.3. Pricing Analysis
  • 5.4. Regulatory Analysis

6. Global Adaptive Learning Market - Covid-19 Analysis

  • 6.1. Analysis of Covid-19 on the Market
    • 6.1.1. Before Covid-19 Market Scenario
    • 6.1.2. Present Covid-19 Market Scenario
    • 6.1.3. After Covid-19 or Future Scenario
  • 6.2. Pricing Dynamics Amid Covid-19
  • 6.3. Demand-Supply Spectrum
  • 6.4. Government Initiatives Related to the Market During Pandemic
  • 6.5. Manufacturers Strategic Initiatives
  • 6.6. Conclusion

7. Global Adaptive Learning Market - By Type

  • 7.1. Introduction
    • 7.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Type
    • 7.1.2. Market Attractiveness Index, By Type
  • 7.2. Machine-Learning-Based Adaptive Systems*
    • 7.2.1. Introduction
    • 7.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 7.3. Advanced Algorithm Adaptive Systems
  • 7.4. Rules-Based Adaptive Systems
  • 7.5. Decision-Tree Adaptive Systems

8. Global Adaptive Learning Market - By Deployment

  • 8.1. Introduction
    • 8.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
    • 8.1.2. Market Attractiveness Index, By Deployment
  • 8.2. Cloud-based*
    • 8.2.1. Introduction
    • 8.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 8.3. On-Premises
  • 8.4. Hybrid

9. Global Adaptive Learning Market - By Subject

  • 9.1. Introduction
    • 9.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Subject
    • 9.1.2. Market Attractiveness Index, By Subject
  • 9.2. Literature*
    • 9.2.1. Introduction
    • 9.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 9.3. Mathematics
  • 9.4. Language
  • 9.5. Finance
  • 9.6. Marketing
  • 9.7. Functional Language
  • 9.8. Others

10. Global Adaptive Learning Market - By Model

  • 10.1. Introduction
    • 10.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Model
    • 10.1.2. Market Attractiveness Index, By Model
  • 10.2. Expert Model*
    • 10.2.1. Introduction
    • 10.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 10.3. Student Model
  • 10.4. Instructional Model

11. Global Adaptive Learning Market - By End-User

  • 11.1. Introduction
    • 11.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 11.1.2. Market Attractiveness Index, By End-User
  • 11.2. Educational Institutes*
    • 11.2.1. Introduction
    • 11.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
      • 11.2.2.1. Primary School
      • 11.2.2.2. Secondary School
      • 11.2.2.3. University
      • 11.2.2.4. Others
  • 11.3. Online Course Providers

12. Global Adaptive Learning Market - By Region

  • 12.1. Introduction
  • 12.2. Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
  • 12.3. Market Attractiveness Index, By Region
  • 12.4. North America*
    • 12.4.1. Introduction
    • 12.4.2. Key Region-Specific Dynamics
    • 12.4.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Type
    • 12.4.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
    • 12.4.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Subject
    • 12.4.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Model
    • 12.4.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 12.4.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 12.4.8.1. U.S.
      • 12.4.8.2. Canada
      • 12.4.8.3. Mexico
  • 12.5. Europe
    • 12.5.1. Introduction
    • 12.5.2. Key Region-Specific Dynamics
    • 12.5.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Type
    • 12.5.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
    • 12.5.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Subject
    • 12.5.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Model
    • 12.5.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 12.5.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 12.5.8.1. Germany
      • 12.5.8.2. U.K.
      • 12.5.8.3. France
      • 12.5.8.4. Italy
      • 12.5.8.5. Spain
      • 12.5.8.6. Rest of Europe
  • 12.6. South America
    • 12.6.1. Introduction
    • 12.6.2. Key Region-Specific Dynamics
    • 12.6.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Type
    • 12.6.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
    • 12.6.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Subject
    • 12.6.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Model
    • 12.6.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 12.6.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 12.6.8.1. Brazil
      • 12.6.8.2. Argentina
      • 12.6.8.3. Rest of South America
  • 12.7. Asia-Pacific
    • 12.7.1. Introduction
    • 12.7.2. Key Region-Specific Dynamics
    • 12.7.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Type
    • 12.7.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
    • 12.7.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Subject
    • 12.7.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Model
    • 12.7.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 12.7.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 12.7.8.1. China
      • 12.7.8.2. India
      • 12.7.8.3. Japan
      • 12.7.8.4. Australia
      • 12.7.8.5. Rest of Asia-Pacific
  • 12.8. Middle East and Africa
    • 12.8.1. Introduction
    • 12.8.2. Key Region-Specific Dynamics
    • 12.8.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Type
    • 12.8.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
    • 12.8.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Subject
    • 12.8.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Model
    • 12.8.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User

13. Global Adaptive Learning Market - Competitive Landscape

  • 13.1. Competitive Scenario
  • 13.2. Market Positioning/Share Analysis
  • 13.3. Mergers and Acquisitions Analysis

14. Global Adaptive Learning Market- Company Profiles

  • 14.1. Pearson Learning*
    • 14.1.1. Company Overview
    • 14.1.2. Component Portfolio and Description
    • 14.1.3. Key Highlights
    • 14.1.4. Financial Overview
  • 14.2. McGraw-Hill
  • 14.3. D2L Corporation
  • 14.4. CogBooks
  • 14.5. Kaplan Inc.
  • 14.6. DreamBox Learning
  • 14.7. John Wiley & Sons, Inc
  • 14.8. Desire2Learn
  • 14.9. Cerego
  • 14.10. Kidaptive

LIST NOT EXHAUSTIVE

15. Global Adaptive Learning Market - Premium Insights

16. Global Adaptive Learning Market - DataM

  • 16.1. Appendix
  • 16.2. About Us and Services
  • 16.3. Contact Us