Artificial Intelligence (AI) In eLearning 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 AI in eLearning market size has grown rapidly in recent years. It will grow from $4.07 billion in 2023 to $4.54 billion in 2024 at a compound annual growth rate (CAGR) of 11.5%. The growth in the historic period can be attributed to growth of online learning platforms, increasing internet accessibility, rising demand for scalable education solutions, the expansion of mobile learning technologies, push for more personalized education.
The AI in eLearning market size is expected to see rapid growth in the next few years. It will grow to $7.05 billion in 2028 at a compound annual growth rate (CAGR) of 11.7%. The growth in the forecast period can be attributed to growing adoption of remote learning solutions, rising advancements in AI for real-time learning analytics, the expansion of AI in personalized education tools, increasing investment in AI research for education, the rise of hybrid learning models. Major trends in the forecast period include demand for AI-driven interactive learning environments, use of AI for adaptive and predictive learning, growth in personalized learning experiences through AI, expansion of AI-powered educational games, development of advanced AI tutoring systems.
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Scope Of Artificial Intelligence (AI) In eLearning 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.
Artificial Intelligence (AI) In eLearning Market Overview
Market Drivers –
The amplified adoption of online learning is expected to propel the growth of the AI in eLearning market going forward. Online learning involves gaining knowledge and skills through digital platforms and internet-based resources, which allows for remote access to educational content and interactions. The adoption of online learning is attributed to several factors, such as increased internet accessibility, flexible learning opportunities, and personalized learning paths. AI in eLearning accelerates this adoption by providing personalized learning experiences, enhancing accessibility through adaptive tools, automating administrative tasks, and offering real-time support, thus making online education more efficient and engaging for a broader audience. For instance, in June 2024, according to a report published by the Philadelphia College of Osteopathic Medicine, a US-based educational institution, in 2022, online class enrolment was 19 percentage points higher than pre-pandemic levels, with 60% of students expressing satisfaction with online learning and 69% preferring it to traditional in-person instruction. Therefore, amplified adoption of online learning is driving the growth of AI in eLearning market.
Market Trends –
Major companies operating in the AI in eLearning market are developing advanced technologies such as AI chatbots, to enhance personalized learning experiences and streamline educational support. AI chatbots are automated software programs that use artificial intelligence to simulate human-like conversations and assist users with queries and tasks in real-time. For instance, in March 2023, Udacity Inc., a US-based online education company, launched AI chatbot. The AI Chatbot’s standout feature is its use of GPT-4 Turbo technology, which empowers it to manage thousands of interactions simultaneously. This means it can offer personalized feedback and guidance to each learner in real time, providing continuous support without limitations. While it complements human mentors, who are available throughout the learner’s journey for valuable human interaction, the AI Chatbot ensures that learners receive instant, tailored assistance whenever they need it.
The artificial intelligence (AI) in elearning market covered in this report is segmented –
1) By Component: Solutions, Services
2) By Deployment Mode: On-Premises, Cloud-Based
3) By Technology: Machine Learning (ML), Natural Language Processing (NLP), Computer Vision, Other Technologies
4) By Application: Virtual Classrooms, Corporate Training And Development, Self-Paced Learning, Language Learning, Other Applications
5) By End-User: Academic Institutions, Corporate, Government And Public Sector
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Regional Insights –
North America was the largest region in the AI in eLearning market in 2023. The regions covered in the AI in eLearning market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
Key Companies –
Major companies operating in the AI in eLearning market are Google LLC, Citrix Systems Inc., Microsoft Corporation, Amazon Web Services Inc., IBM Corporation, Cisco Systems Inc., Oracle Corporation, Baidu Inc., Adobe Inc., Byju’s, Pearson PLC, OpenAI, Aptara Inc., Udemy Inc., Blackboard Inc., Coursera Inc., Jenzabar Inc., Docebo, Anthology Inc., Articulate Global LLC, LAIX Inc., Udacity Inc., Carnegie Learning Inc., edX LLC, Knewton Inc., Apollo Education Group Inc., Cognii Inc.
Table of Contents
1. Executive Summary
2. Artificial Intelligence (AI) In eLearning Market Report Structure
3. Artificial Intelligence (AI) In eLearning Market Trends And Strategies
4. Artificial Intelligence (AI) In eLearning Market – Macro Economic Scenario
5. Artificial Intelligence (AI) In eLearning Market Size And Growth
…..
27. Artificial Intelligence (AI) In eLearning Market Competitor Landscape And Company Profiles
28. Key Mergers And Acquisitions
29. Future Outlook and Potential Analysis
30. Appendix
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