시장보고서
상품코드
1751542

세계의 스마트 러닝 시장 규모, 점유율, 동향 분석 보고서 : 제공별, 용도별, 최종 용도별, 지역별, 부문 예측, 2025년-2030년

Smart Learning Market Size, Share & Trends Analysis Report By Offering (Hardware, Software, Solution), By Application (Asynchronous Learning, Synchronous Learning), By End-use, By Region, And Segment Forecasts, 2025 - 2030

발행일: | 리서치사: Grand View Research | 페이지 정보: 영문 100 Pages | 배송안내 : 2-10일 (영업일 기준)

    
    
    




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스마트 러닝 시장 요약

세계 스마트 러닝 시장 규모는 2024년 712억 5,000만 달러로 추정되며, 2025-2030년 연평균 복합 성장률(CAGR) 16.6%로 성장하여 2030년에는 1,774억 3,000만 달러에 달할 것으로 예측됩니다. AI가 주도하는 교육 분야의 초개인화가 스마트 러닝 시장의 주요 성장 동력이 되고 있습니다.

첨단 인공지능(AI) 기술을 통해 학생 개개인의 요구에 실시간으로 대응할 수 있습니다. 이를 통해 학생들의 참여와 성과를 향상시키는 맞춤형 학습 경로를 구축할 수 있습니다. 다국어 지원 및 포용적 기능은 교육 소외 지역의 학습자들에 대한 장벽을 제거할 수 있습니다. 이러한 혁신은 전 세계적으로 교육에 대한 접근성과 효과성을 높이고, AI를 활용한 개인화는 교육 제공 방식을 변화시키고, 스마트 러닝의 도입을 확대하고 있습니다. 예를 들어, 2024년 12월 인도의 에듀테크 기업 Infinity Learn은 Google Cloud India와 협력하여 Gemini 및 Vertex AI와 같은 고급 AI 기술을 사용하여 주요 시험을 준비하는 Tier 2 및 3 도시의 유치원생부터 12세 학생을 대상으로 초개인화 학습을 제공하기로 했습니다. 초개인화된 학습 경험을 제공합니다. 이번 제휴를 통해 AI를 활용한 실시간 지도, 맞춤형 학습 계획, 다국어 지원을 통해 학습자들이 인도 전역의 교육 격차를 해소하고 우수한 성적을 거둘 수 있도록 돕고 있습니다.

스마트 러닝 시장에서는 AI 기반 플랫폼이 학습자 개개인에 맞게 교육 경로를 맞춤화하는 대화형 및 체험형 학습 솔루션에 대한 수요가 증가하고 있습니다. 교실 내 IoT 디바이스는 실시간 데이터와 인사이트력을 제공합니다. 게임화 및 시뮬레이션은 학생들의 동기부여와 참여도를 높이고 있습니다. 클라우드 기반 협업 도구는 원활한 원격 학습과 하이브리드 학습을 지원합니다. 강력한 학습 분석은 교육자들이 성과를 평가하고 교육 전략을 개선할 수 있도록 돕습니다. 조직은 교육 혁신을 위해 인터랙티브하고 데이터 기반의 협업 기술을 채택하고 있습니다. 예를 들어, 2025년 5월 마이크로소프트와 미국 FFA 조직은 AI와 IoT를 활용한 정밀 농업 플랫폼인 FarmBeats를 전국적으로 확대하여 교실에 스마트 센서 키트와 AI 기반 커리큘럼을 설치했습니다. 이 프로그램은 교실에서 정밀 농업을 가르치기 위한 스마트 센서 키트와 AI 기반 커리큘럼을 제공합니다. 이 프로그램을 통해 학생들은 데이터 사이언스과 AI를 실제로 경험할 수 있습니다.

데이터 사이언스과 AI를 실제로 체험함으로써 미래 농업과 기술 분야에서 활약할 수 있는 준비를 할 수 있습니다.

증강현실과 가상현실은 몰입감 있고 체험적인 교육 방법을 제공함으로써 스마트 학습 환경을 변화시키고 있습니다. 이러한 도구는 학습자가 3차원 형식으로 컨텐츠와 상호 작용할 수 있도록 하여 추상적이고 복잡한 주제를 보다 구체화할 수 있게 해줍니다. 의대생, 공학 연수생, 어학연수생들은 실제 시나리오를 모방한 시뮬레이션 환경의 혜택을 누리고 있으며, AR은 교과서나 물리적 환경에 디지털 컨텐츠를 겹쳐서 실시간 상호 작용을 가능하게 함으로써 교실에서의 학습을 강화합니다. 반면, VR은 완전한 몰입감을 제공하여 학습자를 잡념으로부터 분리하고 가상 교실과 교육 연구소에서 학습 동기를 강화합니다. 교육 기관과 기업은 블렌디드 러닝 모델을 지원하고 물리적 자원에 대한 의존도를 줄이기 위해 AR/VR을 도입하는 사례가 늘고 있습니다. 이러한 기술이 더욱 저렴하고 확장성이 높아짐에 따라 선진국과 신흥국의 교육 시스템 모두에서 채택이 확대될 것으로 예측됩니다.

온라인 학습은 보조적인 옵션에서 교육 제공의 핵심 모드로 진화했습니다. 팬데믹은 이러한 전환을 가속화하여 학교, 대학, 기업에서 디지털 플랫폼을 대규모로 도입하도록 유도했습니다. 기업에서는 이러닝을 통해 표준화된 교육, 신속한 입사, 지리적 제약 없이 지속적인 전문성 개발이 가능해졌습니다. 고등교육기관은 학위 및 자격증의 전 과정을 온라인으로 제공함으로써 직장인과 유학생들에게 어필하고 있습니다. 온라인 프로그램의 유연성, 저렴한 비용, 접근성은 모든 연령대와 사회경제적 수준에 관계없이 매력적입니다. 비동기식 형식, 멀티미디어 컨텐츠, AI를 활용한 개인화는 학습자의 성과를 더욱 향상시킵니다. 디지털 인프라와 플랫폼 개발에 대한 지속적인 투자로 온라인 학습에 대한 트렌드는 영구화되고 점점 더 정교해질 것으로 예측됩니다.

목차

제1장 조사 방법과 범위

제2장 주요 요약

제3장 스마트 러닝 시장 변수, 동향, 범위

  • 세계 스마트 러닝 시장 전망
  • 업계 밸류체인 분석
  • 시장 역학
    • 시장 성장 촉진요인 분석
    • 시장 성장 억제요인 분석
    • 업계 과제
  • Porter의 Five Forces 분석
    • 공급업체의 힘
    • 구매자의 힘
    • 대체 위협
    • 신규 진출기업의 위협
    • 경쟁 기업간 경쟁 관계
  • PESTEL 분석
    • 정치 상황
    • 경제 상황
    • 사회 상황
    • 기술 상황
    • 환경 상황
    • 법적 상황

제4장 스마트 러닝 시장 : 제공 추정과 예측

  • 스마트 러닝 시장 : 변동 분석 제공, 2024년 및 2030년

제5장 스마트 러닝 시장 : 용도 추정과 예측

  • 스마트 러닝 시장 : 용도 변동 분석, 2024년 및 2030년

제6장 스마트 러닝 시장 : 최종 용도 전망 추정과 예측

  • 스마트 러닝 시장 : 최종 용도 변동 분석, 2024년 및 2030년
    • 학술
    • 기업
    • 정부
    • 기타

제7장 스마트 러닝 시장 : 지역 추정, 동향 분석

  • 스마트 러닝 시장 점유율, 지역별, 2024년 및 2030년
  • 북미
    • 미국
    • 캐나다
    • 멕시코
  • 유럽
    • 영국
    • 독일
    • 프랑스
  • 아시아태평양
    • 중국
    • 일본
    • 인도
    • 호주
    • 한국
  • 라틴아메리카
    • 브라질
  • 중동 및 아프리카
    • 사우디아라비아
    • 아랍에미리트(UAE)
    • 남아프리카공화국

제8장 경쟁 구도

  • 주요 시장 진출기업의 최근 동향과 영향 분석
  • 벤더 구도
    • 기업 분류
    • 주요 유통업체 및 채널 파트너 리스트
    • 잠재 고객 리스트/리스트
  • 경쟁 역학
    • 경쟁 벤치마킹
    • 전략 매핑
    • 히트맵 분석
  • 기업 개요/상장기업
    • BYJU'S
    • Coursera, Inc.
    • Duolingo, Inc.
    • Edmodo, Inc.
    • Instructure, Inc.
    • Khan Academy, Inc.
    • Knewton, Inc.(John Wiley &Sons, Inc.)
    • Pearson
    • SMART Technologies ULC
    • Udemy, Inc.
LSH 25.06.27

Smart Learning Market Summary

The global smart learning market size was estimated at USD 71.25 billion in 2024 and is projected to reach USD 177.43 billion by 2030, growing at a CAGR of 16.6% from 2025 to 2030. AI-driven hyper-personalization in education is becoming a major growth factor for the smart learning market.

Advanced artificial intelligence (AI) technologies enable real-time adaptation to individual student needs. This creates customized learning paths that improve student engagement and outcomes. Multilingual and inclusive features break barriers for learners in underserved areas. Such innovations make education more accessible and effective worldwide. AI-powered personalization is transforming how education is delivered and expanding smart learning adoption. For instance, in December 2024, Infinity Learn, an EdTech company in India, collaborated with Google Cloud India to use advanced AI technologies such as Gemini and Vertex AI to deliver hyper-personalized learning experiences, especially for K-12 students in Tier 2 and 3 cities preparing for major exams. This collaboration provides AI-powered real-time guidance, tailored study plans, and multilingual support to help learners excel and bridge education gaps across India.

The smart learning market is seeing an uptick in demand for interactive and experiential learning solutions. AI-driven platforms are customizing education paths to individual learners. IoT devices in classrooms are providing real-time data and insights. Gamification and simulations are increasing student motivation and engagement. Cloud-based collaboration tools are supporting seamless remote and hybrid learning. Robust learning analytics are helping educators assess performance and refine their teaching strategies. Organizations are adopting interactive, data-driven, and collaborative technologies to transform education. For instance, in May 2025, Microsoft and the National FFA Organization expanded FarmBeats, Microsoft's AI and IoT-powered precision agriculture platform, nationwide, equipping classrooms with smart sensor kits and an AI-driven curriculum. The program provides smart sensor kits and an AI-driven curriculum to teach precision agriculture in classrooms. It gives students hands-on experience with

data science and AI, preparing them for future careers in farming and technology.

Augmented and virtual reality are transforming the smart learning environment by offering immersive, experiential methods of instruction. These tools allow learners to interact with content in three-dimensional formats, making abstract or complex subjects more tangible. Medical students, engineering trainees, and language learners benefit from simulated environments that mimic real-world scenarios. AR enhances classroom learning by overlaying digital content onto textbooks or physical surroundings, enabling real-time interactivity. Meanwhile, VR offers complete immersion, isolating learners from distractions and deepening engagement in virtual classrooms or training labs. Educational institutions and corporations are increasingly incorporating AR/VR to support blended learning models and reduce dependency on physical resources. As these technologies become more affordable and scalable, their adoption is expected to expand across both developed and emerging education systems.

Online learning has evolved from a supplementary option into a core mode of education delivery. The pandemic accelerated this transition, prompting schools, universities, and enterprises to embrace digital platforms at scale. In the corporate world, e-learning enables standardized training, faster onboarding, and continuous professional development without geographical limits. Higher education institutions are offering full degrees and certifications online, appealing to working professionals and international students. The flexibility, lower cost, and accessibility of online programs make them attractive across age groups and socioeconomic levels. Asynchronous formats, multimedia content, and AI-powered personalization further enhance learner outcomes. With ongoing investment in digital infrastructure and platform development, the trend toward online learning is expected to become permanent and increasingly sophisticated.

Global Smart Learning Market Report Segmentation

This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends and opportunities in each of the sub-segments from 2018 to 2030. For this study, Grand View Research has segmented the global smart learning market report based on offering, application, end use, and region:

  • Offering Outlook (Revenue, USD Million, 2018 - 2030)
  • Hardware
  • Software
  • Solution
  • Application Outlook (Revenue, USD Million, 2018 - 2030)
  • Asynchronous Learning
  • Synchronous Learning
  • End Use Outlook (Revenue, USD Million, 2018 - 2030)
  • Academics
  • Enterprises
  • Government
  • Others
  • Regional Outlook (Revenue, USD Million, 2018 - 2030)
  • North America
    • U.S.
    • Canada
    • Mexico
  • Europe
    • UK
    • Germany
    • France
  • Asia Pacific
    • China
    • Japan
    • India
    • Australia
    • South Korea
  • Latin America
    • Brazil
  • Middle East & Africa (MEA)
    • KSA
    • UAE
    • South Africa

Table of Contents

Chapter 1. Methodology and Scope

  • 1.1. Market Segmentation & Scope
  • 1.2. Market Definition
  • 1.3. Information Procurement
    • 1.3.1. Purchased Database
    • 1.3.2. GVR's Internal Database
    • 1.3.3. Secondary Sources & Third-Party Perspectives
    • 1.3.4. Primary Research
  • 1.4. Information Analysis
    • 1.4.1. Data Analysis Models
  • 1.5. Market Formulation & Data Visualization
  • 1.6. Data Validation & Publishing

Chapter 2. Executive Summary

  • 2.1. Market Insights
  • 2.2. Segmental Outlook
  • 2.3. Competitive Outlook

Chapter 3. Smart Learning Market Variables, Trends & Scope

  • 3.1. Global Smart Learning Market Outlook
  • 3.2. Industry Value Chain Analysis
  • 3.3. Market Dynamics
    • 3.3.1. Market Driver Analysis
    • 3.3.2. Market Restraint Analysis
    • 3.3.3. Industry Challenges
  • 3.4. Porter's Five Forces Analysis
    • 3.4.1. Supplier Power
    • 3.4.2. Buyer Power
    • 3.4.3. Substitution Threat
    • 3.4.4. Threat from New Entrant
    • 3.4.5. Competitive Rivalry
  • 3.5. PESTEL Analysis
    • 3.5.1. Political Landscape
    • 3.5.2. Economic Landscape
    • 3.5.3. Social Landscape
    • 3.5.4. Technological Landscape
    • 3.5.5. Environmental Landscape
    • 3.5.6. Legal Landscape

Chapter 4. Smart Learning Market: Offering Estimates & Forecasts

  • 4.1. Smart Learning Market: Offering Movement Analysis, 2024 & 2030
    • 4.1.1. Hardware
      • 4.1.1.1. Hardware Market estimates and forecast, 2018 - 2030 (USD Million)
    • 4.1.2. Software
      • 4.1.2.1. Software Market estimates and forecast, 2018 - 2030 (USD Million)
    • 4.1.3. Solution
      • 4.1.3.1. Solution Market estimates and forecast, 2018 - 2030 (USD Million)

Chapter 5. Smart Learning Market: Application Estimates & Forecasts

  • 5.1. Smart Learning Market: Application Movement Analysis, 2024 & 2030
    • 5.1.1. Asynchronous Learning
      • 5.1.1.1. Asynchronous Learning Market estimates and forecast, 2018 - 2030 (USD Million)
    • 5.1.2. Synchronous Learning
      • 5.1.2.1. Synchronous Learning Market estimates and forecast, 2018 - 2030 (USD Million)

Chapter 6. Smart Learning Market: End Use Outlook Estimates & Forecasts

  • 6.1. Smart Learning Market: End Use Movement Analysis, 2024 & 2030
    • 6.1.1. Academics
      • 6.1.1.1. Academics Market estimates and forecast, 2018 - 2030 (USD Million)
    • 6.1.2. Enterprises
      • 6.1.2.1. Enterprises Market estimates and forecast, 2018 - 2030 (USD Million)
    • 6.1.3. Government
      • 6.1.3.1. Government Market estimates and forecast, 2018 - 2030 (USD Million)
    • 6.1.4. Others
      • 6.1.4.1. Others Market estimates and forecast, 2018 - 2030 (USD Million)

Chapter 7. Smart Learning Market: Regional Estimates & Trend Analysis

  • 7.1. Smart Learning Market Share, By Region, 2024 & 2030 USD Million
  • 7.2. North America
    • 7.2.1. North America Smart Learning Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 7.2.1.1. North America Smart Learning Market Estimates and Forecasts, by Country, 2018 - 2030 (USD Million)
      • 7.2.1.2. North America Smart Learning Market Estimates and Forecasts, by Offering, 2018 - 2030 (USD Million)
      • 7.2.1.3. North America Smart Learning Market Estimates and Forecasts, by Application, 2018 - 2030 (USD Million)
      • 7.2.1.4. North America Smart Learning Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
    • 7.2.2. U.S.
      • 7.2.2.1. U.S. Smart Learning Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 7.2.2.2. U.S. Smart Learning Market Estimates and Forecasts, by Offering, 2018 - 2030 (USD Million)
      • 7.2.2.3. U.S. Smart Learning Market Estimates and Forecasts, by Application, 2018 - 2030 (USD Million)
      • 7.2.2.4. U.S. Smart Learning Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
    • 7.2.3. Canada
      • 7.2.3.1. Canada Smart Learning Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 7.2.3.2. Canada Smart Learning Market Estimates and Forecasts, by Offering, 2018 - 2030 (USD Million)
      • 7.2.3.3. Canada Smart Learning Market Estimates and Forecasts, by Application, 2018 - 2030 (USD Million)
      • 7.2.3.4. Canada Smart Learning Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
    • 7.2.4. Mexico
      • 7.2.4.1. Mexico Smart Learning Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 7.2.4.2. Mexico Smart Learning Market Estimates and Forecasts, by Offering, 2018 - 2030 (USD Million)
      • 7.2.4.3. Mexico Smart Learning Market Estimates and Forecasts, by Application, 2018 - 2030 (USD Million)
      • 7.2.4.4. Mexico Smart Learning Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
  • 7.3. Europe
    • 7.3.1. Europe Smart Learning Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 7.3.1.1. Europe Smart Learning Market Estimates and Forecasts, by Country, 2018 - 2030 (USD Million)
      • 7.3.1.2. Europe Smart Learning Market Estimates and Forecasts, by Offering, 2018 - 2030 (USD Million)
      • 7.3.1.3. Europe Smart Learning Market Estimates and Forecasts, by Application, 2018 - 2030 (USD Million)
      • 7.3.1.4. Europe Smart Learning Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
    • 7.3.2. UK
      • 7.3.2.1. UK Smart Learning Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 7.3.2.2. UK Smart Learning Market Estimates and Forecasts, by Offering, 2018 - 2030 (USD Million)
      • 7.3.2.3. UK Smart Learning Market Estimates and Forecasts, by Application, 2018 - 2030 (USD Million)
      • 7.3.2.4. UK Smart Learning Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
    • 7.3.3. Germany
      • 7.3.3.1. Germany Smart Learning Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 7.3.3.2. Germany Smart Learning Market Estimates and Forecasts, by Offering, 2018 - 2030 (USD Million)
      • 7.3.3.3. Germany Smart Learning Market Estimates and Forecasts, by Application, 2018 - 2030 (USD Million)
      • 7.3.3.4. Germany Smart Learning Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
    • 7.3.4. France
      • 7.3.4.1. France Smart Learning Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 7.3.4.2. France Smart Learning Market Estimates and Forecasts, by Offering, 2018 - 2030 (USD Million)
      • 7.3.4.3. France Smart Learning Market Estimates and Forecasts, by Application, 2018 - 2030 (USD Million)
      • 7.3.4.4. France Smart Learning Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
  • 7.4. Asia Pacific
    • 7.4.1. Asia Pacific Smart Learning Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 7.4.1.1. Asia Pacific Smart Learning Market Estimates and Forecasts, by Country, 2018 - 2030 (USD Million)
      • 7.4.1.2. Asia Pacific Smart Learning Market Estimates and Forecasts, by Offering, 2018 - 2030 (USD Million)
      • 7.4.1.3. Asia Pacific Smart Learning Market Estimates and Forecasts, by Application, 2018 - 2030 (USD Million)
      • 7.4.1.4. Asia Pacific Smart Learning Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
    • 7.4.2. China
      • 7.4.2.1. China Smart Learning Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 7.4.2.2. China Smart Learning Market Estimates and Forecasts, by Offering, 2018 - 2030 (USD Million)
      • 7.4.2.3. China Smart Learning Market Estimates and Forecasts, by Application, 2018 - 2030 (USD Million)
      • 7.4.2.4. China Smart Learning Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
    • 7.4.3. Japan
      • 7.4.3.1. Japan Smart Learning Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 7.4.3.2. Japan Smart Learning Market Estimates and Forecasts, by Offering, 2018 - 2030 (USD Million)
      • 7.4.3.3. Japan Smart Learning Market Estimates and Forecasts, by Application, 2018 - 2030 (USD Million)
      • 7.4.3.4. Japan Smart Learning Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
    • 7.4.4. India
      • 7.4.4.1. India Smart Learning Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 7.4.4.2. India Smart Learning Market Estimates and Forecasts, by Offering, 2018 - 2030 (USD Million)
      • 7.4.4.3. India Smart Learning Market Estimates and Forecasts, by Application, 2018 - 2030 (USD Million)
      • 7.4.4.4. India Smart Learning Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
    • 7.4.5. Australia
      • 7.4.5.1. Australia Smart Learning Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 7.4.5.2. Australia Smart Learning Market Estimates and Forecasts, by Offering, 2018 - 2030 (USD Million)
      • 7.4.5.3. Australia Smart Learning Market Estimates and Forecasts, by Application, 2018 - 2030 (USD Million)
      • 7.4.5.4. Australia Smart Learning Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
    • 7.4.6. South Korea
      • 7.4.6.1. South Korea Smart Learning Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 7.4.6.2. South Korea Smart Learning Market Estimates and Forecasts, by Offering, 2018 - 2030 (USD Million)
      • 7.4.6.3. South Korea Smart Learning Market Estimates and Forecasts, by Application, 2018 - 2030 (USD Million)
      • 7.4.6.4. South Korea Smart Learning Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
  • 7.5. Latin America
    • 7.5.1. Latin America Smart Learning Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 7.5.1.1. Latin America Smart Learning Market Estimates and Forecasts, by Country, 2018 - 2030 (USD Million)
      • 7.5.1.2. Latin America Smart Learning Market Estimates and Forecasts, by Offering, 2018 - 2030 (USD Million)
      • 7.5.1.3. Latin America Smart Learning Market Estimates and Forecasts, by Application, 2018 - 2030 (USD Million)
      • 7.5.1.4. Latin America Smart Learning Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
    • 7.5.2. Brazil
      • 7.5.2.1. Brazil Smart Learning Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 7.5.2.2. Brazil Smart Learning Market Estimates and Forecasts, by Offering, 2018 - 2030 (USD Million)
      • 7.5.2.3. Brazil Smart Learning Market Estimates and Forecasts, by Application, 2018 - 2030 (USD Million)
      • 7.5.2.4. Brazil Smart Learning Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
  • 7.6. Middle East and Africa
    • 7.6.1. Middle East and Africa Smart Learning Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 7.6.1.1. Middle East and Africa Smart Learning Market Estimates and Forecasts, by Country, 2018 - 2030 (USD Million)
      • 7.6.1.2. Middle East and Africa Smart Learning Market Estimates and Forecasts, by Offering , 2018 - 2030 (USD Million)
      • 7.6.1.3. Middle East and Africa Smart Learning Market Estimates and Forecasts, by Application, 2018 - 2030 (USD Million)
      • 7.6.1.4. Middle East and Africa Smart Learning Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
    • 7.6.2. KSA
      • 7.6.2.1. KSA Smart Learning Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 7.6.2.2. KSA Smart Learning Market Estimates and Forecasts, by Offering, 2018 - 2030 (USD Million)
      • 7.6.2.3. KSA Smart Learning Market Estimates and Forecasts, by Application, 2018 - 2030 (USD Million)
      • 7.6.2.4. KSA Smart Learning Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
    • 7.6.3. UAE
      • 7.6.3.1. UAE Smart Learning Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 7.6.3.2. UAE Smart Learning Market Estimates and Forecasts, by Offering, 2018 - 2030 (USD Million)
      • 7.6.3.3. UAE Smart Learning Market Estimates and Forecasts, by Application, 2018 - 2030 (USD Million)
      • 7.6.3.4. UAE Smart Learning Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
    • 7.6.4. South Africa
      • 7.6.4.1. South Africa Smart Learning Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 7.6.4.2. South Africa Smart Learning Market Estimates and Forecasts, by Offering, 2018 - 2030 (USD Million)
      • 7.6.4.3. South Africa Smart Learning Market Estimates and Forecasts, by Application, 2018 - 2030 (USD Million)
      • 7.6.4.4. South Africa Smart Learning Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)

Chapter 8. Competitive Landscape

  • 8.1. Recent Developments & Impact Analysis, By Key Market Participants
  • 8.2. Vendor Landscape
    • 8.2.1. Company categorization
    • 8.2.2. List of Key Distributors and channel Partners
    • 8.2.3. List of Potential Customers/Listing
  • 8.3. Competitive Dynamics
    • 8.3.1. Competitive Benchmarking
    • 8.3.2. Strategy Mapping
    • 8.3.3. Heat Map Analysis
  • 8.4. Company Profiles/Listing
    • 8.4.1. BYJU'S
      • 8.4.1.1. Participant's overview
      • 8.4.1.2. Financial performance
      • 8.4.1.3. Product benchmarking
      • 8.4.1.4. Strategic initiatives
    • 8.4.2. Coursera, Inc.
      • 8.4.2.1. Participant's overview
      • 8.4.2.2. Financial performance
      • 8.4.2.3. Product benchmarking
      • 8.4.2.4. Strategic initiatives
    • 8.4.3. Duolingo, Inc.
      • 8.4.3.1. Participant's overview
      • 8.4.3.2. Financial performance
      • 8.4.3.3. Product benchmarking
      • 8.4.3.4. Strategic initiatives
    • 8.4.4. Edmodo, Inc.
      • 8.4.4.1. Participant's overview
      • 8.4.4.2. Financial performance
      • 8.4.4.3. Product benchmarking
      • 8.4.4.4. Strategic initiatives
    • 8.4.5. Instructure, Inc.
      • 8.4.5.1. Participant's overview
      • 8.4.5.2. Financial performance
      • 8.4.5.3. Product benchmarking
      • 8.4.5.4. Strategic initiatives
    • 8.4.6. Khan Academy, Inc.
      • 8.4.6.1. Participant's overview
      • 8.4.6.2. Financial performance
      • 8.4.6.3. Product benchmarking
      • 8.4.6.4. Strategic initiatives
    • 8.4.7. Knewton, Inc. (John Wiley & Sons, Inc.)
      • 8.4.7.1. Participant's overview
      • 8.4.7.2. Financial performance
      • 8.4.7.3. Product benchmarking
      • 8.4.7.4. Strategic initiatives
    • 8.4.8. Pearson
      • 8.4.8.1. Participant's overview
      • 8.4.8.2. Financial performance
      • 8.4.8.3. Product benchmarking
      • 8.4.8.4. Strategic initiatives
    • 8.4.9. SMART Technologies ULC
      • 8.4.9.1. Participant's overview
      • 8.4.9.2. Financial performance
      • 8.4.9.3. Product benchmarking
      • 8.4.9.4. Strategic initiatives
    • 8.4.10. Udemy, Inc.
      • 8.4.10.1. Participant's overview
      • 8.4.10.2. Financial performance
      • 8.4.10.3. Product benchmarking
      • 8.4.10.4. Strategic initiatives
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