Adaptive Learning Software Market - Industry Dynamics, Market Size, And Opportunity Forecast To 2030

The Global Adaptive Learning Software Market is estimated to witness a rise in revenue from US$ 1,382.1 Mn in 2021 to US$ 7,434.3 Mn by 2030. The market is registering a CAGR of 20.3% during the forecast period 2022-2030. Adaptive learning software provides an online platform for educational institutes and enterprises that offer training to their employees. The platform is available in various applications and subscription models. Adaptive learning platform end-users include universities, colleges and other educational providers.

The major factor responsible for the growth of the global adaptive learning software market includes the implementation of SaaS based solution, increasing adoption of e-learning, increasing IT spending on cloud infrastructure in education and increasing application of quantum computing in education sector. SaaS is majorly used cloud computing service in education to manage range of technology, educational and administrative systems. The adoption of SaaS based model helps in providing real-time insights for the growth of the students. Moreover, the education industry witnesses an increased adoption of e-learning due to its easy accessibility and high effectiveness. The increasing number of distance learning education also boost the growth in demands for e-learning platforms, which differs on the basis of various segments such as geographical location, sex, income, education level and other factors. Furthermore, education institutes and organizations are rapidly moving towards cloud-based services to save an intensive IT infrastructure cost and boost efficiency of operations. In addition to this, the increasing application of quantum computing in the education sector is projected to embark new ear in technology similar to AI. However, cybersecurity and data protection risks, lack of compliance to the SLA and legal and jurisdiction issues are expected to hinder the market growth during the forecast period. 

Report Summary

The study of the Global Adaptive Learning Software Market considers various market determinants, industry value chain analysis and competitor analysis of the market. The report discusses the analysis of the adaptive learning software industry for the period 2016-2030, where the base year is 2021 and the forecast period is 2022-2030. The report provides a detailed analysis of the Global Adaptive Learning Software Market across 16 Chapters and 225 pages. The report includes data presentation across 43 tables and 70 statistical figures. 

The report provides PESTLE analysis, which is a tool to examine the external market environment factors that have an impact on the industry. The PESTLE analysis examines the Political, Economic, Social, Technological, Environmental and Legal factors in the external environment. Thus, sufficiently examining the threats and weaknesses of the industry. The research report also provides Porter’s five forces analysis wherein bargaining power of buyers is low and competitive rivalry is high. 

The subsequent section provides details of the market analysis based on different segments such as component, application, enterprise size, end-user and region. The report includes detailed study of value chain of the industry. It includes supplier/vendor/cloud providers, distribution model, delivery model and end users. The report also covers extensively about the key competitors in the market for adaptive learning software. 

Federal regulations to ensure the privacy, security and confidentiality of personal information

• Family Educational Rights and Privacy Act (FERPA), prevents institutions from disclosing education records or student PII without written consent.
• Federal Information Security Modernization Act of 2014 (FISMA 2014) requires federal data to be secure.
• Gramm-Leach-Bliley Act (GLBA), requires financial institutions including colleges and universities, to ensure the security and confidentiality of customer PII.
• Health Insurance Portability and Accountability Act (HIPAA) requires institutions to protect health records and other identifiable health information via privacy safeguards and by limiting use and disclosures without authorization.
• Higher Education Act (HEA) requires IHEs with Title IV programs to have policies, safeguards, monitoring and management practices related to information security.
• Student Aid Internet Gateway (SAIG) enrolment agreement requires IHEs with Title IV programs to ensure that all federal student aid applicant information is protected.

Key Takeaways from the Global Adaptive Learning Software Market Report

• Based on component, solution segment is estimated to have the highest market share in 2021. Moreover, the services segment is expected to project the highest CAGR during the forecast period as they provide end users with services for adaptive learning solution development and smooth installation, deployment and maintenance of ongoing solutions.
• On the basis of application, the integrated learning management systems (LMS) dominated the global adaptive learning software market in 2021. Whereas, analytics and insights are expected to project the highest CAGR over the forecast period.
• In terms of enterprise size, the large enterprises hold the largest market share in 2021. Whereas, the small and medium enterprises are projected to grow at the highest CAGR during the forecast period.
• By end users, the education segment held the largest market share in 2021 due to the use of digitalized systems adopted by higher education institutes for quite a few years. Whereas, the corporate segment is anticipated to grow at the highest CAGR during the forecast period.
• Based on region, North America is the dominating region in the adaptive learning software market in 2021 owing to increasing technological advancements in adaptive learning solutions across the major verticals. Whereas, Asia Pacific region is anticipated to witness the highest CAGR over forecast period due to the various collaborations and partnerships between the government, vendors and research specialist.

Competitive Landscape

The key players in the Global Adaptive Learning Software Market are D2L Corporation Company, DreamBox Learning, Fulcrum Labs Company, Impelsys Company, MCGRAW-HILL, New Leaf Technologies Company, Pearson, Realizeit Company, Wiley and VitalSource Technologies LLC among others. Through extensive research, it is found that big players have adopted various competitive strategies such as mergers & acquisitions in order to have a grip of emerging market. Furthermore, leading companies are expanding their geographical boundaries by acquiring small brands and domestic companies.

Segmentation Overview 

Global Adaptive Learning Software Market is segmented based on component, application, enterprise size, end-user and region. The industry trends in the global adaptive learning software market are sub-divided into different categories in order to get a holistic view of the global marketplace. 

Following are the different segments of the Global Adaptive Learning Software Market:

By Component segment of the Global Adaptive Learning Software Market is sub-segmented into:

• Software
  • On-premise
  • Cloud
• Services
  • Professional
  • Managed

By Application segment of the Global Adaptive Learning Software Market is sub-segmented into:

• Student Collaboration
• Analytics & Insights
• E-learning Authority
• Integrated Learning Management Systems (LMS)

By Enterprise Size segment of the Global Adaptive Learning Software Market is sub-segmented into:

• Small & Medium Enterprises
• Large Enterprises

By End-user segment of the Global Adaptive Learning Software Market is sub-segmented into:

• K-12
• Education
• Corporate
• Private Tutors
• Others

By Region segment of the Global Adaptive Learning Software Market is sub-segmented into:

• North America
  • The U.S.
  • Canada
  • Mexico
• Europe
  • Western Europe
    • The UK
    • Germany
    • France
    • Italy
    • Spain
    • Rest of Western Europe
  • Eastern Europe
    • Russia
    • Poland
    • Rest of Eastern Europe
• Asia Pacific
  • China
  • India
  • Japan
  • Australia & New Zealand
  • ASEAN
  • Rest of Asia Pacific
• South America
  • Argentina
  • Brazil
  • Rest of South America
• Middle East 
  • UAE
  • Saudi Arabia
  • Egypt
  • Rest of Middle East
• Africa
  • South Africa
  • Nigeria
  • Rest of Africa