어댑티브 러닝 소프트웨어 : 세계 시장 점유율과 순위, 총판매량 및 수요 예측(2025-2031년)

The global market for Adaptive Learning Software was estimated to be worth US$ 715 million in 2024 and is forecast to a readjusted size of US$ 1376 million by 2031 with a CAGR of 9.8% during the forecast period 2025-2031.

Adaptive learning is an educational technique which uses computers as interactive teaching devices rendering to the unique needs of each learner.

United States is the largest Adaptive Learning Software market with about 53% market share. Europe is follower, accounting for about 19% market share. The key players are SAS, D2L, DreamBox Learning, Wiley, Smart Sparrow, Cogbooks, Docebo, ScootPad, Imagine Learning, Fishtree, McGraw-Hill, Paradiso, IBM etc. Top 3 companies occupied about 27% market share.

Market Drivers

Adaptive learning systems may become standard in the education market in the future

An adaptive system created by computer technology pushes high-quality content to teachers and students to assist in the process of teaching and learning, and to quantify the entire process. As the adaptive process-based teaching process interacts more and more frequently, more and more data can be collected and utilized, which makes the status of teaching and learning for students and teachers more and more clear, and push is becoming more and more accurate.

Content, data and technology are key to supporting the development of adaptive learning systems

As a collection of technology, content and data, the adaptive learning system can optimize multiple aspects of the learning process, making it a good performance in helping teachers improve their teaching and helping students improve their learning efficiency. In the adaptive learning system based on teaching process, a standardized model is built around the adaptive learning concept from the data, content, and algorithm level, which makes the teaching, learning, training, and testing links closely related.

This report aims to provide a comprehensive presentation of the global market for Adaptive Learning Software, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Adaptive Learning Software by region & country, by Type, and by Application.

The Adaptive Learning Software market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. With both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Adaptive Learning Software.

Market Segmentation

By Company

• SAS
• D2L
• DreamBox Learning
• Wiley
• Smart Sparrow
• Cogbooks
• Docebo
• ScootPad
• Imagine Learning
• Fishtree
• McGraw-Hill
• Paradiso
• IBM
• Adaptemy
• Quiklrn
• Area9 Lyceum
• Realizeit

Segment by Type

• Cloud Based
• On-Premises

Segment by Application

• K-12
• Higher Ed/College
• Corporate

By Region

• North America
  • United States
  • Canada
• Asia-Pacific
  • China
  • Japan
  • South Korea
  • Southeast Asia
  • India
  • Australia
  • Rest of Asia-Pacific
• Europe
  • Germany
  • France
  • U.K.
  • Italy
  • Netherlands
  • Nordic Countries
  • Rest of Europe
• Latin America
  • Mexico
  • Brazil
  • Rest of Latin America
• Middle East & Africa
  • Turkey
  • Saudi Arabia
  • UAE
  • Rest of MEA

Chapter Outline

Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.

Chapter 2: Detailed analysis of Adaptive Learning Software company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.

Chapter 3: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.

Chapter 4: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.

Chapter 5: Revenue of Adaptive Learning Software in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.

Chapter 6: Revenue of Adaptive Learning Software in country level. It provides sigmate data by Type, and by Application for each country/region.

Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.

Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.

Chapter 9: Conclusion.

Table of Contents

1 Market Overview

• 1.1 Adaptive Learning Software Product Introduction
• 1.2 Global Adaptive Learning Software Market Size Forecast (2020-2031)
• 1.3 Adaptive Learning Software Market Trends & Drivers
  • 1.3.1 Adaptive Learning Software Industry Trends
  • 1.3.2 Adaptive Learning Software Market Drivers & Opportunity
  • 1.3.3 Adaptive Learning Software Market Challenges
  • 1.3.4 Adaptive Learning Software Market Restraints
• 1.4 Assumptions and Limitations
• 1.5 Study Objectives
• 1.6 Years Considered

2 Competitive Analysis by Company

• 2.1 Global Adaptive Learning Software Players Revenue Ranking (2024)
• 2.2 Global Adaptive Learning Software Revenue by Company (2020-2025)
• 2.3 Key Companies Adaptive Learning Software Manufacturing Base Distribution and Headquarters
• 2.4 Key Companies Adaptive Learning Software Product Offered
• 2.5 Key Companies Time to Begin Mass Production of Adaptive Learning Software
• 2.6 Adaptive Learning Software Market Competitive Analysis
  • 2.6.1 Adaptive Learning Software Market Concentration Rate (2020-2025)
  • 2.6.2 Global 5 and 10 Largest Companies by Adaptive Learning Software Revenue in 2024
  • 2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Adaptive Learning Software as of 2024)
• 2.7 Mergers & Acquisitions, Expansion

3 Segmentation by Type

• 3.1 Introduction by Type
  • 3.1.1 Cloud Based
  • 3.1.2 On-Premises
• 3.2 Global Adaptive Learning Software Sales Value by Type
  • 3.2.1 Global Adaptive Learning Software Sales Value by Type (2020 VS 2024 VS 2031)
  • 3.2.2 Global Adaptive Learning Software Sales Value, by Type (2020-2031)
  • 3.2.3 Global Adaptive Learning Software Sales Value, by Type (%) (2020-2031)

4 Segmentation by Application

• 4.1 Introduction by Application
  • 4.1.1 K-12
  • 4.1.2 Higher Ed/College
  • 4.1.3 Corporate
• 4.2 Global Adaptive Learning Software Sales Value by Application
  • 4.2.1 Global Adaptive Learning Software Sales Value by Application (2020 VS 2024 VS 2031)
  • 4.2.2 Global Adaptive Learning Software Sales Value, by Application (2020-2031)
  • 4.2.3 Global Adaptive Learning Software Sales Value, by Application (%) (2020-2031)

5 Segmentation by Region

• 5.1 Global Adaptive Learning Software Sales Value by Region
  • 5.1.1 Global Adaptive Learning Software Sales Value by Region: 2020 VS 2024 VS 2031
  • 5.1.2 Global Adaptive Learning Software Sales Value by Region (2020-2025)
  • 5.1.3 Global Adaptive Learning Software Sales Value by Region (2026-2031)
  • 5.1.4 Global Adaptive Learning Software Sales Value by Region (%), (2020-2031)
• 5.2 North America
  • 5.2.1 North America Adaptive Learning Software Sales Value, 2020-2031
  • 5.2.2 North America Adaptive Learning Software Sales Value by Country (%), 2024 VS 2031
• 5.3 Europe
  • 5.3.1 Europe Adaptive Learning Software Sales Value, 2020-2031
  • 5.3.2 Europe Adaptive Learning Software Sales Value by Country (%), 2024 VS 2031
• 5.4 Asia Pacific
  • 5.4.1 Asia Pacific Adaptive Learning Software Sales Value, 2020-2031
  • 5.4.2 Asia Pacific Adaptive Learning Software Sales Value by Region (%), 2024 VS 2031
• 5.5 South America
  • 5.5.1 South America Adaptive Learning Software Sales Value, 2020-2031
  • 5.5.2 South America Adaptive Learning Software Sales Value by Country (%), 2024 VS 2031
• 5.6 Middle East & Africa
  • 5.6.1 Middle East & Africa Adaptive Learning Software Sales Value, 2020-2031
  • 5.6.2 Middle East & Africa Adaptive Learning Software Sales Value by Country (%), 2024 VS 2031

6 Segmentation by Key Countries/Regions

• 6.1 Key Countries/Regions Adaptive Learning Software Sales Value Growth Trends, 2020 VS 2024 VS 2031
• 6.2 Key Countries/Regions Adaptive Learning Software Sales Value, 2020-2031
• 6.3 United States
  • 6.3.1 United States Adaptive Learning Software Sales Value, 2020-2031
  • 6.3.2 United States Adaptive Learning Software Sales Value by Type (%), 2024 VS 2031
  • 6.3.3 United States Adaptive Learning Software Sales Value by Application, 2024 VS 2031
• 6.4 Europe
  • 6.4.1 Europe Adaptive Learning Software Sales Value, 2020-2031
  • 6.4.2 Europe Adaptive Learning Software Sales Value by Type (%), 2024 VS 2031
  • 6.4.3 Europe Adaptive Learning Software Sales Value by Application, 2024 VS 2031
• 6.5 China
  • 6.5.1 China Adaptive Learning Software Sales Value, 2020-2031
  • 6.5.2 China Adaptive Learning Software Sales Value by Type (%), 2024 VS 2031
  • 6.5.3 China Adaptive Learning Software Sales Value by Application, 2024 VS 2031
• 6.6 Japan
  • 6.6.1 Japan Adaptive Learning Software Sales Value, 2020-2031
  • 6.6.2 Japan Adaptive Learning Software Sales Value by Type (%), 2024 VS 2031
  • 6.6.3 Japan Adaptive Learning Software Sales Value by Application, 2024 VS 2031
• 6.7 South Korea
  • 6.7.1 South Korea Adaptive Learning Software Sales Value, 2020-2031
  • 6.7.2 South Korea Adaptive Learning Software Sales Value by Type (%), 2024 VS 2031
  • 6.7.3 South Korea Adaptive Learning Software Sales Value by Application, 2024 VS 2031
• 6.8 Southeast Asia
  • 6.8.1 Southeast Asia Adaptive Learning Software Sales Value, 2020-2031
  • 6.8.2 Southeast Asia Adaptive Learning Software Sales Value by Type (%), 2024 VS 2031
  • 6.8.3 Southeast Asia Adaptive Learning Software Sales Value by Application, 2024 VS 2031
• 6.9 India
  • 6.9.1 India Adaptive Learning Software Sales Value, 2020-2031
  • 6.9.2 India Adaptive Learning Software Sales Value by Type (%), 2024 VS 2031
  • 6.9.3 India Adaptive Learning Software Sales Value by Application, 2024 VS 2031

7 Company Profiles

• 7.1 SAS
  • 7.1.1 SAS Profile
  • 7.1.2 SAS Main Business
  • 7.1.3 SAS Adaptive Learning Software Products, Services and Solutions
  • 7.1.4 SAS Adaptive Learning Software Revenue (US$ Million) & (2020-2025)
  • 7.1.5 SAS Recent Developments
• 7.2 D2L
  • 7.2.1 D2L Profile
  • 7.2.2 D2L Main Business
  • 7.2.3 D2L Adaptive Learning Software Products, Services and Solutions
  • 7.2.4 D2L Adaptive Learning Software Revenue (US$ Million) & (2020-2025)
  • 7.2.5 D2L Recent Developments
• 7.3 DreamBox Learning
  • 7.3.1 DreamBox Learning Profile
  • 7.3.2 DreamBox Learning Main Business
  • 7.3.3 DreamBox Learning Adaptive Learning Software Products, Services and Solutions
  • 7.3.4 DreamBox Learning Adaptive Learning Software Revenue (US$ Million) & (2020-2025)
  • 7.3.5 DreamBox Learning Recent Developments
• 7.4 Wiley
  • 7.4.1 Wiley Profile
  • 7.4.2 Wiley Main Business
  • 7.4.3 Wiley Adaptive Learning Software Products, Services and Solutions
  • 7.4.4 Wiley Adaptive Learning Software Revenue (US$ Million) & (2020-2025)
  • 7.4.5 Wiley Recent Developments
• 7.5 Smart Sparrow
  • 7.5.1 Smart Sparrow Profile
  • 7.5.2 Smart Sparrow Main Business
  • 7.5.3 Smart Sparrow Adaptive Learning Software Products, Services and Solutions
  • 7.5.4 Smart Sparrow Adaptive Learning Software Revenue (US$ Million) & (2020-2025)
  • 7.5.5 Smart Sparrow Recent Developments
• 7.6 Cogbooks
  • 7.6.1 Cogbooks Profile
  • 7.6.2 Cogbooks Main Business
  • 7.6.3 Cogbooks Adaptive Learning Software Products, Services and Solutions
  • 7.6.4 Cogbooks Adaptive Learning Software Revenue (US$ Million) & (2020-2025)
  • 7.6.5 Cogbooks Recent Developments
• 7.7 Docebo
  • 7.7.1 Docebo Profile
  • 7.7.2 Docebo Main Business
  • 7.7.3 Docebo Adaptive Learning Software Products, Services and Solutions
  • 7.7.4 Docebo Adaptive Learning Software Revenue (US$ Million) & (2020-2025)
  • 7.7.5 Docebo Recent Developments
• 7.8 ScootPad
  • 7.8.1 ScootPad Profile
  • 7.8.2 ScootPad Main Business
  • 7.8.3 ScootPad Adaptive Learning Software Products, Services and Solutions
  • 7.8.4 ScootPad Adaptive Learning Software Revenue (US$ Million) & (2020-2025)
  • 7.8.5 ScootPad Recent Developments
• 7.9 Imagine Learning
  • 7.9.1 Imagine Learning Profile
  • 7.9.2 Imagine Learning Main Business
  • 7.9.3 Imagine Learning Adaptive Learning Software Products, Services and Solutions
  • 7.9.4 Imagine Learning Adaptive Learning Software Revenue (US$ Million) & (2020-2025)
  • 7.9.5 Imagine Learning Recent Developments
• 7.10 Fishtree
  • 7.10.1 Fishtree Profile
  • 7.10.2 Fishtree Main Business
  • 7.10.3 Fishtree Adaptive Learning Software Products, Services and Solutions
  • 7.10.4 Fishtree Adaptive Learning Software Revenue (US$ Million) & (2020-2025)
  • 7.10.5 Fishtree Recent Developments
• 7.11 McGraw-Hill
  • 7.11.1 McGraw-Hill Profile
  • 7.11.2 McGraw-Hill Main Business
  • 7.11.3 McGraw-Hill Adaptive Learning Software Products, Services and Solutions
  • 7.11.4 McGraw-Hill Adaptive Learning Software Revenue (US$ Million) & (2020-2025)
  • 7.11.5 McGraw-Hill Recent Developments
• 7.12 Paradiso
  • 7.12.1 Paradiso Profile
  • 7.12.2 Paradiso Main Business
  • 7.12.3 Paradiso Adaptive Learning Software Products, Services and Solutions
  • 7.12.4 Paradiso Adaptive Learning Software Revenue (US$ Million) & (2020-2025)
  • 7.12.5 Paradiso Recent Developments
• 7.13 IBM
  • 7.13.1 IBM Profile
  • 7.13.2 IBM Main Business
  • 7.13.3 IBM Adaptive Learning Software Products, Services and Solutions
  • 7.13.4 IBM Adaptive Learning Software Revenue (US$ Million) & (2020-2025)
  • 7.13.5 IBM Recent Developments
• 7.14 Adaptemy
  • 7.14.1 Adaptemy Profile
  • 7.14.2 Adaptemy Main Business
  • 7.14.3 Adaptemy Adaptive Learning Software Products, Services and Solutions
  • 7.14.4 Adaptemy Adaptive Learning Software Revenue (US$ Million) & (2020-2025)
  • 7.14.5 Adaptemy Recent Developments
• 7.15 Quiklrn
  • 7.15.1 Quiklrn Profile
  • 7.15.2 Quiklrn Main Business
  • 7.15.3 Quiklrn Adaptive Learning Software Products, Services and Solutions
  • 7.15.4 Quiklrn Adaptive Learning Software Revenue (US$ Million) & (2020-2025)
  • 7.15.5 Quiklrn Recent Developments
• 7.16 Area9 Lyceum
  • 7.16.1 Area9 Lyceum Profile
  • 7.16.2 Area9 Lyceum Main Business
  • 7.16.3 Area9 Lyceum Adaptive Learning Software Products, Services and Solutions
  • 7.16.4 Area9 Lyceum Adaptive Learning Software Revenue (US$ Million) & (2020-2025)
  • 7.16.5 Area9 Lyceum Recent Developments
• 7.17 Realizeit
  • 7.17.1 Realizeit Profile
  • 7.17.2 Realizeit Main Business
  • 7.17.3 Realizeit Adaptive Learning Software Products, Services and Solutions
  • 7.17.4 Realizeit Adaptive Learning Software Revenue (US$ Million) & (2020-2025)
  • 7.17.5 Realizeit Recent Developments

8 Industry Chain Analysis

• 8.1 Adaptive Learning Software Industrial Chain
• 8.2 Adaptive Learning Software Upstream Analysis
  • 8.2.1 Key Raw Materials
  • 8.2.2 Raw Materials Key Suppliers
  • 8.2.3 Manufacturing Cost Structure
• 8.3 Midstream Analysis
• 8.4 Downstream Analysis (Customers Analysis)
• 8.5 Sales Model and Sales Channels
  • 8.5.1 Adaptive Learning Software Sales Model
  • 8.5.2 Sales Channel
  • 8.5.3 Adaptive Learning Software Distributors

9 Research Findings and Conclusion

10 Appendix

• 10.1 Research Methodology
  • 10.1.1 Methodology/Research Approach
    • 10.1.1.1 Research Programs/Design
    • 10.1.1.2 Market Size Estimation
    • 10.1.1.3 Market Breakdown and Data Triangulation
  • 10.1.2 Data Source
    • 10.1.2.1 Secondary Sources
    • 10.1.2.2 Primary Sources
• 10.2 Author Details
• 10.3 Disclaimer