The adaptive learning software global market report 2024 from The Business Research Company provides comprehensive market statistics, including global market size, regional shares, competitor market share, detailed segments, trends, and opportunities. This report offers an in-depth analysis of current and future industry scenarios, delivering a complete perspective for thriving in the industrial automation software market.
Adaptive Learning Software Market, 2024 report by The Business Research Company offers comprehensive insights into the current state of the market and highlights future growth opportunities.
Market Size –
The adaptive learning software market size has grown rapidly in recent years. It will grow from $5.36 billion in 2023 to $4.01 billion in 2024 at a compound annual growth rate (CAGR) of 19.1%. The growth in the historic period can be attributed to increasing demand for personalized learning solutions, rise of e-learning and online education, growth of the edtech industry, expansion of mobile learning, and shift in pedagogical approaches towards competency-based learning.
The adaptive learning software market size is expected to see rapid growth in the next few years. It will grow to $8.12 billion in 2028 at a compound annual growth rate (CAGR) of 19.3%. The growth in the forecast period can be attributed to expansion of online education, emphasis on lifelong learning, growing adoption of mobile devices, increased focus on inclusive education, and demand for customizable solutions. Major trends in the forecast period include integration with AI, gamification in learning, social learning integration, mobile optimization, and online education.
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Scope Of Adaptive Learning Software Market
The Business Research Company’s reports encompass a wide range of information, including:
1. Market Size (Historic and Forecast): Analysis of the market’s historical performance and projections for future growth.
2. Drivers: Examination of the key factors propelling market growth.
3. Trends: Identification of emerging trends and patterns shaping the market landscape.
4. Key Segments: Breakdown of the market into its primary segments and their respective performance.
5. Focus Regions and Geographies: Insight into the most critical regions and geographical areas influencing the market.
6. Macro Economic Factors: Assessment of broader economic elements impacting the market.
Adaptive Learning Software Market Overview
Market Drivers –
The growing awareness of learning disabilities is expected to propel the growth of the adaptive learning software market going forward. Learning disabilities are neurological illnesses that impair a person’s ability to acquire, process, or retain knowledge, causing problems with reading, writing, math, and other academic skills. Adaptive learning software significantly enhances educational outcomes for students with learning disabilities by customizing content and pacing to meet individual learning needs. For instance, in May 2023, according to the National Center for Education Statistics, a US-based agency, in the 2021–2022 academic year, around 7.3 million U.S. students aged 3–21 received special education services under the IDEA with specific learning disabilities being the most prevalent disability at 32%. This slightly increased from the 7.2 million students served in the 2020–2021 academic year. Therefore, the growing awareness of learning disabilities is driving the growth of the adaptive learning software market.
Market Trends –
Major companies operating in the adaptive learning software market focus on introducing intelligent AI-connected teaching and learning solutions, such as AI-driven tutoring software, to optimize student engagement and performance through personalized learning experiences. AI-driven tutoring software leverages advanced algorithms and machine learning techniques to provide personalized and adaptive learning experiences tailored to student’s needs and learning styles. For instance, in August 2022, HMH, a US-based education technology company, launched Amira Learning + Saxon Phonics and Spelling, a networked teaching and learning system. It is intended to assist fundamental literacy in K–2 classrooms by combining two main components such as Amira Learning and Saxon Phonics and Spelling. Amira Learning is an AI-powered reading tutor that uses cutting-edge speech recognition and AI algorithms to give 1:1 reading tutoring, oral fluency assessments, and dyslexia screenings.
The adaptive learning software market covered in this report is segmented –
1) By Component: Solution Or Platform, Services
2) By Deployment Model: Cloud-Based, On-Premise
3) By Model: Gamification, Big Data, Virtual Learning Model, Other Models
4) By Application: Student Collaboration, Analytics And Insights, E-learning Authority, Integrated Learning Management Systems (LMS)
5) By End User: K-12 Education, Higher Education, Corporate
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Regional Insights –
North America was the largest region in the adaptive learning software market in 2023. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the adaptive learning software market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
Key Companies –
Major companies operating in the adaptive learning software market are HCL Technologies Limited, Pearson PLC, SAS Institute, McGraw Hill, Houghton Mifflin Harcourt (HMH), Macmillan Publishers, Imagine Learning, Curriculum Associates LLC, D2L Corporation, Docebo, intellAdapt, DREAMBOX LEARNING, Fuel Education LLC, Paradiso, Knewton Inc., Cerego, Realizeit, Intetics Inc., Fishtree, Smart Sparrow Pty Ltd, aNewSpring, Kidaptive, EdSurge Inc., Scootpad, Domoscio
Table of Contents
1. Executive Summary
2. Adaptive Learning Software Market Report Structure
3. Adaptive Learning Software Market Trends And Strategies
4. Adaptive Learning Software Market – Macro Economic Scenario
5. Adaptive Learning Software Market Size And Growth
…..
27. Adaptive Learning Software Market Competitor Landscape And Company Profiles
28. Key Mergers And Acquisitions
29. Future Outlook and Potential Analysis
30. Appendix
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