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AI in Personalized Learning and Education Technology Market

AI in Personalized Learning and Education Technology Market Size, Share & Trends Analysis Report By Type (Machine Learning Algorithms, Natural Language Processing (NLP) Systems, Expert Systems, Computer Vision Applications, Intelligent Tutoring Systems (ITS), Virtual Learning Environments (VLEs), Adaptive Learning Platforms), By Application, By Educational Level, By End-User, By Region, And By Segment Forecasts, 2024-2031

Report ID : 2692 | Published : 2024-08-19 | Pages: 165 | Format: PDF/EXCEL

The AI in Personalized Learning and Education Technology Market Size is valued at USD 4.7 billion in 2023 and is predicted to reach USD 72.1 billion by the year 2031 at a 41.1% CAGR during the forecast period for 2024-2031.

ai in personalized learning and education

The field of AI in personalized learning and education technology is constantly advancing. The market for personalized learning and education technology is growing significantly, thanks to effective segmentation tactics and new applications. The concept of personalized learning revolves around tailoring educational experiences to the perticular needs of each student. In traditional classrooms, educators need to address diverse learning abilities and preferences, which can often lead to instructional inefficiencies. However, with Al-powered personalized learning, data-driven algorithms can analyze students' performance, learning styles, and progress to craft customized curricula and interventions.

One of the key factors contributing to the growth of the personalized learning and education technology market is the increasing accessibility of Al tools and platforms. Advancements in Al research and technology have led to the development of user-friendly applications that educational institutions and individual educators can readily adopt. Additionally, the proliferation of online learning platforms and mobile applications has widened the reach of personalized learning, making it available to learners worldwide. This democratization of Al-powered education has fueled market expansion and increased the demand for innovative solutions.

Competitive Landscape

Some Major Key Players In The AI in Personalized Learning and Education Technology Market:

  • Coursera
  • Duolingo
  • Khan Academy
  • IBM Watson Education
  • Blackboard
  • Cognii
  • Knewton
  • Pearson
  • Squirrel Al Learning
  • Content Technologies, Inc.
  • Third Space Learning
  • ALEKS (Assessment and Learning in Knowledge Spaces)
  • Other Market Players

Market Segmentation:

The AI in Personalized Learning and Education Technology market is segmented on the basis of type, application, educational level, and end user. Based on type, the market is segmented as Machine Learning Algorithms, Natural Language Processing (NLP) Systems, Expert Systems, Computer Vision Applications, and Intelligent Tutoring Systems (ITS), Virtual Learning Environments (VLEs), Adaptive Learning Platforms. By application, the market is segmented into Adaptive Content Delivery, Personalized Learning Paths, Individualized Assessment and Feedback, Intelligent Content Creation, Smart Content Recommendations, Personalized Learning Analytics, and Student Progress Monitoring. Based on Educational Level, the market is segmented into K-12 Education, Higher Education (Colleges and Universities), Corporate Training and Professional Development, Language Learning, and Skill-based Learning. The End Users segment includes Students/Learners, Teachers/Educators, Administrators/Schools and Institutions, Corporations and Enterprises, and Language Learning Institutions.

Based On The Product, The Machine Learning Algorithms Segment Is Accounted As A Major Contributor To AI In The Personalized Learning And Education Technology Market.

The Machine Learning Algorithms category is expected to lead with a large share in the global AI in Personalized Learning and Education Technology market. These algorithms enable personalized learning experiences by analyzing large data on student performance, learning styles, and preferences. ML algorithms help create adaptive learning paths, identify knowledge gaps, and provide customized resources to enhance learning outcomes. They also facilitate real-time feedback and assessments, allowing educators to customize their instruction to individual needs.

The Adaptive Content Delivery Segment Witnessed Rapid Growth.

The adaptive content segment is projected to grow rapidly in the global AI in Personalized Learning and Education Technology market owing to learning styles, strengths, and weaknesses to provide customized learning materials. This personalization enhances engagement and retention, offering real-time adjustments to the curriculum based on individual progress. The integration of AI in this segment supports educators in identifying areas needing attention, thereby optimizing instructional strategies. This approach not only enhances academic outcomes but also prepares students for future educational and career challenges by promoting critical thinking and problem-solving skills.

In The Region, The North American AI In Personalized Learning And Education Technology Market Holds A Significant Revenue Share.

The North American AI in the Personalized Learning and Education Technology market is expected to note the highest market revenue share in the next few years. The region's advanced technological infrastructure, coupled with substantial investments in AI and education technology, drives market growth. The presence of leading tech companies and educational institutions fosters innovation and adoption of AI-driven personalized learning solutions. Furthermore, North America's emphasis on enhancing educational outcomes and addressing diverse learning needs propels the demand for tailored educational experiences. The integration of AI in curricula, administrative processes, and learning platforms enhances student engagement and performance. Government initiatives and funding further support the implementation of AI technologies in education. Consequently, North America emerges as a dominant market, capturing a substantial revenue share and setting benchmarks for AI applications in personalized learning and education technology globally.

Recent Developments:

  • In May 2024, Khan Academy and Microsoft collaborated to enhance the availability of AI tools that customized instruction and facilitated enjoyable learning experiences. Microsoft provided Khan Academy with free access to the pilot of Khanmigo for Teachers by donating access to Azure AI-optimized infrastructure, allowing all K-12 educators in the U.S. to benefit from this service at no cost. Consequently, Khanmigo for Teachers is currently being operated by Azure OpenAI Service.   
  • In Jan 2024, Coursera has introduced new artificial intelligence (AI) functionalities to cater to the requirements of learners in India. There are currently more than 4,000 courses offered in the Hindi language. Furthermore, Coursera has revealed its acquisition of new industry and campus clients, as educational institutions throughout India have enthusiastically adopted online learning to provide their employees and students with essential digital competencies.

AI in Personalized Learning and Education Technology Market Report Scope:

Report Attribute

Specifications

Market Size Value In 2023

USD 4.7 Bn

Revenue Forecast In 2031

USD 72.1 Bn

Growth Rate CAGR

CAGR of 41.4% from 2024 to 2031

Quantitative Units

Representation of revenue in US$ Bn and CAGR from 2024 to 2031

Historic Year

2019 to 2023

Forecast Year

2024-2031

Report Coverage

The forecast of revenue, the position of the company, the competitive market structure, growth prospects, and trends

Segments Covered

By Type, Application, Education Level

Regional Scope

North America; Europe; Asia Pacific; Latin America; Middle East & Africa

Country Scope

U.S.; Canada; U.K.; Germany; China; India; Japan; Brazil; Mexico; France; Italy; Spain; South East Asia; South Korea

Competitive Landscape

Coursera, Duolingo, Khan Academy, IBM Watson Education, Blackboard, Cognii, Knewton, Pearson, and other prominent players

Customization Scope

Free customization report with the procurement of the report and modifications to the regional and segment scope. Particular Geographic competitive landscape.

Pricing And Available Payment Methods

Explore pricing alternatives that are customized to your particular study requirements.

Chapter 1. Methodology and Scope
1.1. Research Methodology
1.2. Research Scope & Assumptions

Chapter 2. Executive Summary

Chapter 3. Global AI in Personalized Learning and Education Technology Market Snapshot

Chapter 4. Global AI in Personalized Learning and Education Technology Market Variables, Trends & Scope
4.1. Market Segmentation & Scope
4.2. Drivers
4.3. Challenges
4.4. Trends
4.5. Investment and Funding Analysis
4.6. Industry Analysis – Porter’s Five Forces Analysis
4.7. Competitive Landscape & Market Share Analysis
4.8. Impact of Covid-19 Analysis

Chapter 5. Market Segmentation 1: by Type Estimates & Trend Analysis
5.1. by Type & Market Share, 2019 & 2031
5.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 for the following by Type:

5.2.1. Machine Learning Algorithms
5.2.2. Natural Language Processing (NLP) Systems
5.2.3. Expert Systems
5.2.4. Computer Vision Applications
5.2.5. Intelligent Tutoring Systems (ITS)
5.2.6. Virtual Learning Environments (VLEs)
5.2.7. Adaptive Learning Platforms

Chapter 6. Market Segmentation 2: by Application Estimates & Trend Analysis
6.1. by Application & Market Share, 2019 & 2031
6.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 for the following by Application:

6.2.1. Adaptive Content Delivery
6.2.2. Personalized Learning Paths
6.2.3. Individualized Assessment and Feedback
6.2.4. Intelligent Content Creation
6.2.5. Smart Content Recommendations
6.2.6. Personalized Learning Analytics
6.2.7. Student Progress Monitoring

Chapter 7. Market Segmentation 3: by Educational Level Estimates & Trend Analysis
7.1. by Educational Level & Market Share, 2019 & 2031
7.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 for the following by Educational Level:

7.2.1. K-12 Education
7.2.2. Higher Education (Colleges and Universities)
7.2.3. Corporate Training and Professional Development
7.2.4. Language Learning
7.2.5. Skill-based Learning

Chapter 8. Market Segmentation 4: by End-User Estimates & Trend Analysis
8.1. by End-User & Market Share, 2019 & 2031
8.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 for the following by End-User:

8.2.1. Students/Learners
8.2.2. Teachers/Educators
8.2.3. Administrators/Schools and Institutions
8.2.4. Corporations and Enterprises
8.2.5. Language Learning Institutions

Chapter 9. AI in Personalized Learning and Education Technology Market Segmentation 5: Regional Estimates & Trend Analysis

9.1. North America
9.1.1. North America AI in Personalized Learning and Education Technology Market Revenue (US$ Million) Estimates and Forecasts by Type, 2024-2031
9.1.2. North America AI in Personalized Learning and Education Technology Market Revenue (US$ Million) Estimates and Forecasts by Application, 2024-2031
9.1.3. North America AI in Personalized Learning and Education Technology Market Revenue (US$ Million) Estimates and Forecasts by Educational Level, 2024-20319.1.4. North America AI in Personalized Learning and Education Technology Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2024-2031
9.1.5. North America AI in Personalized Learning and Education Technology Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031

9.2. Europe
9.2.1. Europe AI in Personalized Learning and Education Technology Market Revenue (US$ Million) Estimates and Forecasts by Type, 2024-2031
9.2.2. Europe AI in Personalized Learning and Education Technology Market Revenue (US$ Million) Estimates and Forecasts by Application, 2024-2031
9.2.3. Europe AI in Personalized Learning and Education Technology Market Revenue (US$ Million) Estimates and Forecasts by Educational Level, 2024-2031
9.2.4. Europe AI in Personalized Learning and Education Technology Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2024-2031
9.2.5. Europe AI in Personalized Learning and Education Technology Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031

9.3. Asia Pacific
9.3.1. Asia Pacific AI in Personalized Learning and Education Technology Market Revenue (US$ Million) Estimates and Forecasts by Type, 2024-2031
9.3.2. Asia Pacific AI in Personalized Learning and Education Technology Market Revenue (US$ Million) Estimates and Forecasts by Application, 2024-2031
9.3.3. Asia-Pacific AI in Personalized Learning and Education Technology Market Revenue (US$ Million) Estimates and Forecasts by Educational Level, 2024-2031
9.3.4. Asia-Pacific AI in Personalized Learning and Education Technology Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2024-2031
9.3.5. Asia Pacific AI in Personalized Learning and Education Technology Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031

9.4. Latin America
9.4.1. Latin America AI in Personalized Learning and Education Technology Market Revenue (US$ Million) Estimates and Forecasts by Type, 2024-2031
9.4.2. Latin America AI in Personalized Learning and Education Technology Market Revenue (US$ Million) Estimates and Forecasts by Application, 2024-2031
9.4.3. Latin America AI in Personalized Learning and Education Technology Market Revenue (US$ Million) Estimates and Forecasts by Educational Level, 2024-2031
9.4.4. Latin America AI in Personalized Learning and Education Technology Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2024-2031
9.4.5. Latin America AI in Personalized Learning and Education Technology Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031

9.5. Middle East & Africa
9.5.1. Middle East & Africa AI in Personalized Learning and Education Technology Market Revenue (US$ Million) Estimates and Forecasts by Type, 2024-2031
9.5.2. Middle East & Africa AI in Personalized Learning and Education Technology Market Revenue (US$ Million) Estimates and Forecasts by Application, 2024-2031
9.5.3. Middle East & Africa AI in Personalized Learning and Education Technology Market Revenue (US$ Million) Estimates and Forecasts by Educational Level, 2024-2031
9.5.4. Middle East & Africa AI in Personalized Learning and Education Technology Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2024-2031
9.5.5. Middle East & Africa AI in Personalized Learning and Education Technology Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031

Chapter 10. Competitive Landscape
10.1. Major Mergers and Acquisitions/Strategic Alliances
10.2. Company Profiles

10.2.1. Coursera
10.2.2. Duolingo
10.2.3. Khan Academy
10.2.4. IBM Watson Education
10.2.5. Blackboard
10.2.6. Cognii
10.2.7. Knewton
10.2.8. Pearson
10.2.9. Squirrel AI Learning
10.2.10. Content Technologies, Inc.
10.2.11. Third Space Learning
10.2.12. ALEKS (Assessment and Learning in Knowledge Spaces)
10.2.13. Other Prominent Players

Segmentation of AI in Personalized Learning and Education Technology Market-

AI in Personalized Learning and Education Technology Market By Type:

  • Machine Learning Algorithms
  • Natural Language Processing (NLP) Systems
  • Expert Systems
  • Computer Vision Applications
  • Intelligent Tutoring Systems (ITS)
  • Virtual Learning Environments (VLEs)
  • Adaptive Learning Platforms

ai in personalized learning and education

AI in Personalized Learning and Education Technology Market By Application:

  • Adaptive Content Delivery
  • Personalized Learning Paths
  • Individualized Assessment and Feedback
  • Intelligent Content Creation
  • Smart Content Recommendations
  • Personalized Learning Analytics
  • Student Progress Monitoring

AI in Personalized Learning and Education Technology Market By Educational Level:

  • K-12 Education
  • Higher Education (Colleges and Universities)
  • Corporate Training and Professional Development
  • Language Learning
  • Skill-based Learning

AI in Personalized Learning and Education Technology Market By End-User:

  • Students/Learners
  • Teachers/Educators
  • Administrators/Schools and Institutions
  • Corporations and Enterprises
  • Language Learning Institutions

AI in Personalized Learning and Education Technology Market By Region-

North America-

  • The US
  • Canada
  • Mexico

Europe-

  • Germany
  • The UK
  • France
  • Italy
  • Spain
  • Rest of Europe

Asia-Pacific-

  • China
  • Japan
  • India
  • South Korea
  • South East Asia
  • Rest of Asia Pacific

Latin America-

  • Brazil
  • Argentina
  • Rest of Latin America

 Middle East & Africa-

  • GCC Countries
  • South Africa
  • Rest of Middle East and Africa

 

InsightAce Analytic follows a standard and comprehensive market research methodology focused on offering the most accurate and precise market insights. The methods followed for all our market research studies include three significant steps – primary research, secondary research, and data modeling and analysis - to derive the current market size and forecast it over the forecast period. In this study, these three steps were used iteratively to generate valid data points (minimum deviation), which were cross-validated through multiple approaches mentioned below in the data modeling section.

Through secondary research methods, information on the market under study, its peer, and the parent market was collected. This information was then entered into data models. The resulted data points and insights were then validated by primary participants.

Based on additional insights from these primary participants, more directional efforts were put into doing secondary research and optimize data models. This process was repeated till all data models used in the study produced similar results (with minimum deviation). This way, this iterative process was able to generate the most accurate market numbers and qualitative insights.

Secondary research

The secondary research sources that are typically mentioned to include, but are not limited to:

  • Company websites, financial reports, annual reports, investor presentations, broker reports, and SEC filings.
  • External and internal proprietary databases, regulatory databases, and relevant patent analysis
  • Statistical databases, National government documents, and market reports
  • Press releases, news articles, and webcasts specific to the companies operating in the market

The paid sources for secondary research like Factiva, OneSource, Hoovers, and Statista

Primary Research:

Primary research involves telephonic interviews, e-mail interactions, as well as face-to-face interviews for each market, category, segment, and subsegment across geographies

The contributors who typically take part in such a course include, but are not limited to: 

  • Industry participants: CEOs, CBO, CMO, VPs, marketing/ type managers, corporate strategy managers, and national sales managers, technical personnel, purchasing managers, resellers, and distributors.
  • Outside experts: Valuation experts, Investment bankers, research analysts specializing in specific markets
  • Key opinion leaders (KOLs) specializing in unique areas corresponding to various industry verticals
  • End-users: Vary mainly depending upon the market

Data Modeling and Analysis:

In the iterative process (mentioned above), data models received inputs from primary as well as secondary sources. But analysts working on these models were the key. They used their extensive knowledge and experience about industry and topic to make changes and fine-tuning these models as per the product/service under study.

The standard data models used while studying this market were the top-down and bottom-up approaches and the company shares analysis model. However, other methods were also used along with these – which were specific to the industry and product/service under study.

 

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Frequently Asked Questions

How big is the AI in Personalized Learning and Education Technology Market Size?

The AI in Personalized Learning and Education Technology Market is expected to grow at a 41.1% CAGR during the forecast period for 2024-2031.

Coursera, Duolingo, Khan Academy, IBM Watson Education, Blackboard, Cognii, Knewton, Pearson, and other prominent players

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