인공지능(AI) 활용 맞춤형 커리큐럼 시장 보고서(2026년)

An AI-driven personalized learning path is an educational method that adapts to the unique needs, preferences, and progress of each learner. By leveraging advanced algorithms and data analysis, the system evaluates a student's prior performance, learning style, and ongoing development to recommend suitable materials, adjust difficulty levels, and offer focused guidance.

The core elements of an AI-based personalized learning path include both software and services. The software functions as a digital platform that applies AI to deliver adaptive learning experiences by interpreting learner data and customizing content in real time. These platforms can be accessed via cloud or installed locally and serve a wide range of purposes, from K-12 and higher education to corporate and vocational training. They are used by various groups, including schools, businesses, and individual learners.

Tariffs have influenced the AI-powered personalized learning path market by increasing the cost of imported servers, networking equipment, and digital classroom hardware. These higher infrastructure costs have affected educational institutions and enterprises, particularly in Asia-Pacific and North America regions. Rising capital expenditure has slowed large-scale platform deployments. Hardware procurement delays have also impacted digital education expansion plans. However, tariffs have encouraged regional cloud infrastructure investments, domestic edtech development, and cloud-based learning solutions that reduce dependence on imported physical systems.

The artificial intelligence (AI)-powered personalized learning path market research report is one of a series of new reports from The Business Research Company that provides artificial intelligence (AI)-powered personalized learning path market statistics, including artificial intelligence (AI)-powered personalized learning path industry global market size, regional shares, competitors with a artificial intelligence (AI)-powered personalized learning path market share, detailed artificial intelligence (AI)-powered personalized learning path market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence (AI)-powered personalized learning path industry. This artificial intelligence (AI)-powered personalized learning path market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The artificial intelligence (AI)-powered personalized learning path market size has grown exponentially in recent years. It will grow from $4.66 billion in 2025 to $6 billion in 2026 at a compound annual growth rate (CAGR) of 28.8%. The growth in the historic period can be attributed to growth in digital education platforms, expansion of LMS adoption, rising demand for personalized education tools, increased online course enrollment, adoption of blended learning models.

The artificial intelligence (AI)-powered personalized learning path market size is expected to see exponential growth in the next few years. It will grow to $16.4 billion in 2030 at a compound annual growth rate (CAGR) of 28.6%. The growth in the forecast period can be attributed to expansion of AI driven education ecosystems, rising adoption of smart classrooms, growth in lifelong learning initiatives, increasing investment in edtech infrastructure, integration of AI learning paths with enterprise training systems. Major trends in the forecast period include adaptive curriculum recommendation engines, real time student performance analytics, personalized content difficulty adjustment, AI driven learning path automation, continuous skill progress tracking.

The expansion of the artificial intelligence-powered personalized learning path market is being driven by the rapid growth of e-learning platforms. These platforms are digital solutions that deliver education, training, and learning materials online, enabling learners to access content remotely with greater flexibility. Their increasing adoption is primarily supported by advancements in digital infrastructure, such as higher internet speeds and wider availability of connected devices, which have improved access to online education. AI-powered personalized learning paths strengthen these platforms by delivering customized content, monitoring individual learner progress, and enhancing engagement by aligning learning experiences with each student's unique needs and objectives. For instance, Eurostat reported that in 2023, 30% of EU internet users aged 16 to 74 participated in online courses or used online learning materials in the previous three months, up from 28% in 2022, reflecting a consistent rise in online education participation. This growing adoption of e-learning is contributing to the expansion of AI-driven personalized learning solutions.

Companies operating in the AI-powered personalized learning path market are increasingly emphasizing adaptive learning algorithms to enhance individualized learning experiences. These AI-based solutions modify educational content in response to a learner's performance, behavior, and preferences, enabling the identification of knowledge gaps, improving information retention, and delivering personalized recommendations aligned with each learner's pace and learning style. For example, in September 2023, the Indian start-up Hello AI introduced HelloAI-Hailabs.ai, an AI-enabled self-learning platform designed to promote AI literacy and personalized education across all age groups. The platform leverages adaptive algorithms and context-aware content to deliver customized tutoring, address learning gaps, and equip users for an AI-driven future. It provides free access to foundational courses while offering advanced premium modules for deeper learning, and has received STEM and KidSafe certifications, along with support from the Kerala Startup Mission (KSUM) and grants from Startup India. Additionally, the platform was recognized as a finalist among more than 800 global start-ups in a learning tools engineering competition, highlighting its increasing presence in the market.

In December 2024, Imagine Learning LLC, a US-based educational technology company, acquired Pango Education Ltd., a UK-based provider of AI-driven personalized learning solutions. The acquisition is intended to strengthen Imagine Learning's curriculum-informed AI capabilities, enhance standards-aligned and personalized offerings, simplify lesson planning and assessment processes, and deliver more engaging learning experiences. This development underscores the growing emphasis on incorporating AI technology into personalized learning to better support both educators and students.

Major companies operating in the artificial intelligence (AI)-powered personalized learning path market are Google LLC, Microsoft Corporation, International Business Machines Corporation, Pearson plc, McGraw Hill LLC, Chegg Incorporated, Blackboard LLC, Udemy Incorporated, Coursera Incorporated, Duolingo Incorporated, Scribd Incorporated, Codecademy LLC, OpenSesame Incorporated, Khan Academy Incorporated, Mathpresso Inc., FutureLearn Limited, Cerego Inc., Smart Sparrow Pty Limited, Squirrel Artificial Intelligence Co. Ltd., Think and Learn Private Limited

North America was the largest region in the artificial intelligence (AI)-powered personalized learning path market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence (AI)-powered personalized learning path market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the artificial intelligence (AI)-powered personalized learning path market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The artificial intelligence (AI) -powered personalized learning path market consists of revenues earned by entities by providing services such as dynamic learning goal setting, intelligent gap analysis, predictive career guidance, context-based learning suggestions, interactive scenario-based training, and automated feedback optimization in digital learning environments. The market value includes the value of related goods sold by the service provider or included within the service offering. The AI-Powered Personalized Learning Path market includes sales of AI-driven learning management systems, intelligent content recommendation engines, adaptive assessment tools, personalized learning analytics dashboards, virtual AI tutoring platforms, and skill-mapping software solutions. Values in this market are 'factory gate' values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Artificial Intelligence (AI)-Powered Personalized Learning Path Market Global Report 2026 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses artificial intelligence (AI)-powered personalized learning path market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

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Where is the largest and fastest growing market for artificial intelligence (AI)-powered personalized learning path ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The artificial intelligence (AI)-powered personalized learning path market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

• The market characteristics section of the report defines and explains the market. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
• The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
• The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
• The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
• The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
• The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
• The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
• The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
• Market segmentations break down the market into sub markets.
• The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
• Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
• The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
• The company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.

Scope

• Markets Covered:1) By Component: Software; Services
• 2) By Deployment Mode: Cloud; On-Premises
• 3) By Application: Kindergarten To 12th Grade (K-12); Higher Education; Corporate Training; Vocational Training; Other Applications
• 4) By End-User: Educational Institutions; Enterprises; Individuals
• Subsegments:
• 1) By Software: Learning Management System; Content Management System; Assessment And Evaluation Tools; Analytics And Reporting Tools; Recommendation Engine
• 2) By Services: Consulting; Implementation; Support And Maintenance; Training And Development; Customization
• Companies Mentioned: Google LLC; Microsoft Corporation; International Business Machines Corporation; Pearson plc; McGraw Hill LLC; Chegg Incorporated; Blackboard LLC; Udemy Incorporated; Coursera Incorporated; Duolingo Incorporated; Scribd Incorporated; Codecademy LLC; OpenSesame Incorporated; Khan Academy Incorporated; Mathpresso Inc.; FutureLearn Limited; Cerego Inc.; Smart Sparrow Pty Limited; Squirrel Artificial Intelligence Co. Ltd.; Think and Learn Private Limited
• Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain.
• Regions: Asia-Pacific; South East Asia; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
• Time Series: Five years historic and ten years forecast.
• Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
• Data Segmentations: country and regional historic and forecast data, market share of competitors, market segments.
• Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
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Table of Contents

1. Executive Summary

• 1.1. Key Market Insights (2020-2035)
• 1.2. Visual Dashboard: Market Size, Growth Rate, Hotspots
• 1.3. Major Factors Driving the Market
• 1.4. Top Three Trends Shaping the Market

2. Artificial Intelligence (AI)-Powered Personalized Learning Path Market Characteristics

• 2.1. Market Definition & Scope
• 2.2. Market Segmentations
• 2.3. Overview of Key Products and Services
• 2.4. Global Artificial Intelligence (AI)-Powered Personalized Learning Path Market Attractiveness Scoring And Analysis
  • 2.4.1. Overview of Market Attractiveness Framework
  • 2.4.2. Quantitative Scoring Methodology
  • 2.4.3. Factor-Wise Evaluation
• Growth Potential Analysis, Competitive Dynamics Assessment, Strategic Fit Assessment And Risk Profile Evaluation
• 2.4.4. Market Attractiveness Scoring and Interpretation
• 2.4.5. Strategic Implications and Recommendations

3. Artificial Intelligence (AI)-Powered Personalized Learning Path Market Supply Chain Analysis

• 3.1. Overview of the Supply Chain and Ecosystem
• 3.2. List Of Key Raw Materials, Resources & Suppliers
• 3.3. List Of Major Distributors and Channel Partners
• 3.4. List Of Major End Users

4. Global Artificial Intelligence (AI)-Powered Personalized Learning Path Market Trends And Strategies

• 4.1. Key Technologies & Future Trends
  • 4.1.1 Artificial Intelligence & Autonomous Intelligence
  • 4.1.2 Digitalization, Cloud, Big Data & Cybersecurity
  • 4.1.3 Internet Of Things (Iot), Smart Infrastructure & Connected Ecosystems
  • 4.1.4 Industry 4.0 & Intelligent Manufacturing
  • 4.1.5 Immersive Technologies (Ar/Vr/Xr) & Digital Experiences
• 4.2. Major Trends
  • 4.2.1 Adaptive Curriculum Recommendation Engines
  • 4.2.2 Real Time Student Performance Analytics
  • 4.2.3 Personalized Content Difficulty Adjustment
  • 4.2.4 AI Driven Learning Path Automation
  • 4.2.5 Continuous Skill Progress Tracking

5. Artificial Intelligence (AI)-Powered Personalized Learning Path Market Analysis Of End Use Industries

• 5.1 Educational Institutions
• 5.2 Enterprises
• 5.3 Individual Learners
• 5.4 Vocational Training Centers
• 5.5 Online Education Providers

6. Artificial Intelligence (AI)-Powered Personalized Learning Path Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, Supply Chain Impact from Tariff War & Trade Protectionism, And Covid And Recovery On The Market

7. Global Artificial Intelligence (AI)-Powered Personalized Learning Path Strategic Analysis Framework, Current Market Size, Market Comparisons And Growth Rate Analysis

• 7.1. Global Artificial Intelligence (AI)-Powered Personalized Learning Path PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
• 7.2. Global Artificial Intelligence (AI)-Powered Personalized Learning Path Market Size, Comparisons And Growth Rate Analysis
• 7.3. Global Artificial Intelligence (AI)-Powered Personalized Learning Path Historic Market Size and Growth, 2020 - 2025, Value ($ Billion)
• 7.4. Global Artificial Intelligence (AI)-Powered Personalized Learning Path Forecast Market Size and Growth, 2025 - 2030, 2035F, Value ($ Billion)

8. Global Artificial Intelligence (AI)-Powered Personalized Learning Path Total Addressable Market (TAM) Analysis for the Market

• 8.1. Definition and Scope of Total Addressable Market (TAM)
• 8.2. Methodology and Assumptions
• 8.3. Global Total Addressable Market (TAM) Estimation
• 8.4. TAM vs. Current Market Size Analysis
• 8.5. Strategic Insights and Growth Opportunities from TAM Analysis

9. Artificial Intelligence (AI)-Powered Personalized Learning Path Market Segmentation

• 9.1. Global Artificial Intelligence (AI)-Powered Personalized Learning Path Market, Segmentation By Component, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
• Software, Services
• 9.2. Global Artificial Intelligence (AI)-Powered Personalized Learning Path Market, Segmentation By Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
• Cloud, On-Premises
• 9.3. Global Artificial Intelligence (AI)-Powered Personalized Learning Path Market, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
• Kindergarten To 12th Grade (K-12), Higher Education, Corporate Training, Vocational Training, Other Applications
• 9.4. Global Artificial Intelligence (AI)-Powered Personalized Learning Path Market, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
• Educational Institutions, Enterprises, Individuals
• 9.5. Global Artificial Intelligence (AI)-Powered Personalized Learning Path Market, Sub-Segmentation Of Software, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
• Learning Management System, Content Management System, Assessment And Evaluation Tools, Analytics And Reporting Tools, Recommendation Engine
• 9.6. Global Artificial Intelligence (AI)-Powered Personalized Learning Path Market, Sub-Segmentation Of Services, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
• Consulting, Implementation, Support And Maintenance, Training And Development, Customization

10. Artificial Intelligence (AI)-Powered Personalized Learning Path Market, Industry Metrics By Country

• 10.1. Global Artificial Intelligence (AI)-Powered Personalized Learning Path Market, Average Selling Price By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $
• 10.2. Global Artificial Intelligence (AI)-Powered Personalized Learning Path Market, Average Spending Per Capita (Employed) By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $

11. Artificial Intelligence (AI)-Powered Personalized Learning Path Market Regional And Country Analysis

• 11.1. Global Artificial Intelligence (AI)-Powered Personalized Learning Path Market, Split By Region, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
• 11.2. Global Artificial Intelligence (AI)-Powered Personalized Learning Path Market, Split By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

12. Asia-Pacific Artificial Intelligence (AI)-Powered Personalized Learning Path Market

• 12.1. Asia-Pacific Artificial Intelligence (AI)-Powered Personalized Learning Path Market Overview
• Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 12.2. Asia-Pacific Artificial Intelligence (AI)-Powered Personalized Learning Path Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

13. China Artificial Intelligence (AI)-Powered Personalized Learning Path Market

• 13.1. China Artificial Intelligence (AI)-Powered Personalized Learning Path Market Overview
• Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 13.2. China Artificial Intelligence (AI)-Powered Personalized Learning Path Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

14. India Artificial Intelligence (AI)-Powered Personalized Learning Path Market

• 14.1. India Artificial Intelligence (AI)-Powered Personalized Learning Path Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

15. Japan Artificial Intelligence (AI)-Powered Personalized Learning Path Market

• 15.1. Japan Artificial Intelligence (AI)-Powered Personalized Learning Path Market Overview
• Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 15.2. Japan Artificial Intelligence (AI)-Powered Personalized Learning Path Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

16. Australia Artificial Intelligence (AI)-Powered Personalized Learning Path Market

• 16.1. Australia Artificial Intelligence (AI)-Powered Personalized Learning Path Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

17. Indonesia Artificial Intelligence (AI)-Powered Personalized Learning Path Market

• 17.1. Indonesia Artificial Intelligence (AI)-Powered Personalized Learning Path Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

18. South Korea Artificial Intelligence (AI)-Powered Personalized Learning Path Market

• 18.1. South Korea Artificial Intelligence (AI)-Powered Personalized Learning Path Market Overview
• Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 18.2. South Korea Artificial Intelligence (AI)-Powered Personalized Learning Path Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

19. Taiwan Artificial Intelligence (AI)-Powered Personalized Learning Path Market

• 19.1. Taiwan Artificial Intelligence (AI)-Powered Personalized Learning Path Market Overview
• Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 19.2. Taiwan Artificial Intelligence (AI)-Powered Personalized Learning Path Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

20. South East Asia Artificial Intelligence (AI)-Powered Personalized Learning Path Market

• 20.1. South East Asia Artificial Intelligence (AI)-Powered Personalized Learning Path Market Overview
• Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 20.2. South East Asia Artificial Intelligence (AI)-Powered Personalized Learning Path Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

21. Western Europe Artificial Intelligence (AI)-Powered Personalized Learning Path Market

• 21.1. Western Europe Artificial Intelligence (AI)-Powered Personalized Learning Path Market Overview
• Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 21.2. Western Europe Artificial Intelligence (AI)-Powered Personalized Learning Path Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

22. UK Artificial Intelligence (AI)-Powered Personalized Learning Path Market

• 22.1. UK Artificial Intelligence (AI)-Powered Personalized Learning Path Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

23. Germany Artificial Intelligence (AI)-Powered Personalized Learning Path Market

• 23.1. Germany Artificial Intelligence (AI)-Powered Personalized Learning Path Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

24. France Artificial Intelligence (AI)-Powered Personalized Learning Path Market

• 24.1. France Artificial Intelligence (AI)-Powered Personalized Learning Path Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

25. Italy Artificial Intelligence (AI)-Powered Personalized Learning Path Market

• 25.1. Italy Artificial Intelligence (AI)-Powered Personalized Learning Path Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

26. Spain Artificial Intelligence (AI)-Powered Personalized Learning Path Market

• 26.1. Spain Artificial Intelligence (AI)-Powered Personalized Learning Path Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

27. Eastern Europe Artificial Intelligence (AI)-Powered Personalized Learning Path Market

• 27.1. Eastern Europe Artificial Intelligence (AI)-Powered Personalized Learning Path Market Overview
• Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 27.2. Eastern Europe Artificial Intelligence (AI)-Powered Personalized Learning Path Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

28. Russia Artificial Intelligence (AI)-Powered Personalized Learning Path Market

• 28.1. Russia Artificial Intelligence (AI)-Powered Personalized Learning Path Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

29. North America Artificial Intelligence (AI)-Powered Personalized Learning Path Market

• 29.1. North America Artificial Intelligence (AI)-Powered Personalized Learning Path Market Overview
• Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 29.2. North America Artificial Intelligence (AI)-Powered Personalized Learning Path Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

30. USA Artificial Intelligence (AI)-Powered Personalized Learning Path Market

• 30.1. USA Artificial Intelligence (AI)-Powered Personalized Learning Path Market Overview
• Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 30.2. USA Artificial Intelligence (AI)-Powered Personalized Learning Path Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

31. Canada Artificial Intelligence (AI)-Powered Personalized Learning Path Market

• 31.1. Canada Artificial Intelligence (AI)-Powered Personalized Learning Path Market Overview
• Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 31.2. Canada Artificial Intelligence (AI)-Powered Personalized Learning Path Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

32. South America Artificial Intelligence (AI)-Powered Personalized Learning Path Market

• 32.1. South America Artificial Intelligence (AI)-Powered Personalized Learning Path Market Overview
• Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 32.2. South America Artificial Intelligence (AI)-Powered Personalized Learning Path Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

33. Brazil Artificial Intelligence (AI)-Powered Personalized Learning Path Market

• 33.1. Brazil Artificial Intelligence (AI)-Powered Personalized Learning Path Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

34. Middle East Artificial Intelligence (AI)-Powered Personalized Learning Path Market

• 34.1. Middle East Artificial Intelligence (AI)-Powered Personalized Learning Path Market Overview
• Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 34.2. Middle East Artificial Intelligence (AI)-Powered Personalized Learning Path Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

35. Africa Artificial Intelligence (AI)-Powered Personalized Learning Path Market

• 35.1. Africa Artificial Intelligence (AI)-Powered Personalized Learning Path Market Overview
• Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 35.2. Africa Artificial Intelligence (AI)-Powered Personalized Learning Path Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

36. Artificial Intelligence (AI)-Powered Personalized Learning Path Market Regulatory and Investment Landscape

37. Artificial Intelligence (AI)-Powered Personalized Learning Path Market Competitive Landscape And Company Profiles

• 37.1. Artificial Intelligence (AI)-Powered Personalized Learning Path Market Competitive Landscape And Market Share 2024
  • 37.1.1. Top 10 Companies (Ranked by revenue/share)
• 37.2. Artificial Intelligence (AI)-Powered Personalized Learning Path Market - Company Scoring Matrix
  • 37.2.1. Market Revenues
  • 37.2.2. Product Innovation Score
  • 37.2.3. Brand Recognition
• 37.3. Artificial Intelligence (AI)-Powered Personalized Learning Path Market Company Profiles
  • 37.3.1. Google LLC Overview, Products and Services, Strategy and Financial Analysis
  • 37.3.2. Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
  • 37.3.3. International Business Machines Corporation Overview, Products and Services, Strategy and Financial Analysis
  • 37.3.4. Pearson plc Overview, Products and Services, Strategy and Financial Analysis
  • 37.3.5. McGraw Hill LLC Overview, Products and Services, Strategy and Financial Analysis

38. Artificial Intelligence (AI)-Powered Personalized Learning Path Market Other Major And Innovative Companies

• Chegg Incorporated, Blackboard LLC, Udemy Incorporated, Coursera Incorporated, Duolingo Incorporated, Scribd Incorporated, Codecademy LLC, OpenSesame Incorporated, Khan Academy Incorporated, Mathpresso Inc., FutureLearn Limited, Cerego Inc., Smart Sparrow Pty Limited, Squirrel Artificial Intelligence Co. Ltd., Think and Learn Private Limited

39. Global Artificial Intelligence (AI)-Powered Personalized Learning Path Market Competitive Benchmarking And Dashboard

40. Key Mergers And Acquisitions In The Artificial Intelligence (AI)-Powered Personalized Learning Path Market

41. Artificial Intelligence (AI)-Powered Personalized Learning Path Market High Potential Countries, Segments and Strategies

• 41.1. Artificial Intelligence (AI)-Powered Personalized Learning Path Market In 2030 - Countries Offering Most New Opportunities
• 41.2. Artificial Intelligence (AI)-Powered Personalized Learning Path Market In 2030 - Segments Offering Most New Opportunities
• 41.3. Artificial Intelligence (AI)-Powered Personalized Learning Path Market In 2030 - Growth Strategies
  • 41.3.1. Market Trend Based Strategies
  • 41.3.2. Competitor Strategies

42. Appendix

• 42.1. Abbreviations
• 42.2. Currencies
• 42.3. Historic And Forecast Inflation Rates
• 42.4. Research Inquiries
• 42.5. The Business Research Company
• 42.6. Copyright And Disclaimer