시장보고서
상품코드
1832376

디지털 교육 시장 : 제공 서비스별, 컨텐츠 유형별, 학습 유형별, 디바이스 호환성별, 구독 모델별, 용도별, 최종사용자별 - 세계 예측(2025-2032년)

Digital Education Market by Offering, Content Type, Learning Type, Device Compatibility, Subscription Model, Application, End User - Global Forecast 2025-2032

발행일: | 리서치사: 360iResearch | 페이지 정보: 영문 196 Pages | 배송안내 : 1-2일 (영업일 기준)

    
    
    




■ 보고서에 따라 최신 정보로 업데이트하여 보내드립니다. 배송일정은 문의해 주시기 바랍니다.

디지털 교육 시장은 2032년까지 연평균 복합 성장률(CAGR) 17.39%로 885억 8,000만 달러에 이를 것으로 예측됩니다.

주요 시장 통계
기준 연도 : 2024년 245억 4,000만 달러
추정 연도 : 2025년 286억 7,000만 달러
예측 연도 : 2032년 885억 8,000만 달러
CAGR(%) 17.39%

플랫폼의 상호운용성, 학습자 경험의 현대화, 전략적 투자의 필요성을 강조하는 디지털 교육의 진화에 대한 통합적 개요

디지털 교육은 더 이상 전통적인 학습의 부수적인 것이 아니라 조직의 회복력, 인력 준비, 평생 기술 개발의 핵심 원동력이 되고 있습니다. 최근 교육학, 플랫폼 공학, 학습자 분석의 발전이 융합되어 컨텐츠, 전달, 평가가 고립된 기능이 아니라 서로 연계된 구성 요소로 기능하는 생태계가 구축되고 있습니다. 이러한 진화는 유연성을 추구하는 학습자, 입증 가능한 기술을 우선시하는 고용주, 접근성과 공정성을 중시하는 공공 부문 이해관계자 등 수요 측면의 변화에 의해 형성되어 왔습니다.

조직이 투자 및 파트너십을 평가할 때, 기술 아키텍처, 커리큘럼 설계, 학습자 경험, 수익화 경로를 함께 고려하는 시스템 렌즈를 통해 디지털 교육을 바라보는 것이 필수적입니다. 의사결정권자는 도구의 상호운용성, 자격증명서의 이식성, 컨텐츠 공급망의 지속가능성을 고려해야 합니다. 이 요약은 이러한 환경을 형성하는 변혁적 변화를 정리하고, 관세 동향 등 규제 환경의 영향을 검토하고, 실행 가능한 세분화 및 지역별 인사이트를 추출하여 탄탄한 전략 수립을 지원합니다.

디지털 교육의 자격 인증, 개인화, 학습자 중심의 교육을 재정의하기 위해 기술적 성숙과 교육적 혁신이 어떻게 융합되고 있는지

디지털 교육 환경은 기술적 성숙, 교육학적 혁신, 이해관계자의 기대 변화로 인해 변화하고 있습니다. 인공지능과 적응형 학습 엔진은 실험적인 도구에서 학습 경로를 개인화하고, 평가의 충실도를 향상시키며, 고용주를 위한 마이크로 스킬을 구현하는 운영 구성 요소로 발전하고 있습니다. 동시에 클라우드 네이티브 아키텍처와 엣지에 최적화된 전송을 통해 대기 시간을 줄이고, 디바이스 유형을 초월한 광범위한 액세스를 가능하게 하며, 보다 풍부한 멀티미디어 컨텐츠와 동기화된 협업을 대규모로 실현할 수 있게 되었습니다.

교육법은 좌식 교육보다 입증 가능한 성과를 우선시하는 역량 기반 모델로 전환되고 있으며, 학습 제공업체와 고용주 수요 사이에 강력한 정합성이 생겨나고 있습니다. 이러한 변화는 모듈화된 자격 증명과 상호 운용 가능한 학습자 기록에 대한 강조와 함께 마이크로 자격 증명을 쌓아 인정된 경력 경로로 전환할 수 있는 상호 운용 가능한 학습자 기록에 대한 강조와 함께 이루어지고 있습니다. 규제 및 정책 환경도 병행하여 자격 인증 및 데이터 프라이버시 관련 새로운 프레임워크가 도입되어 플랫폼 설계 및 파트너십 구조에 영향을 미치고 있습니다. 이러한 변화를 종합하면, 리더는 유연한 아키텍처를 우선시하고, 컨텐츠의 재사용성에 투자하며, 도달 범위와 신뢰성을 모두 확장하는 파트너십을 구축해야 합니다.

미국의 최근 관세 정책이 디지털 교육 생태계 전반공급망, 조달 전략, 비용 절감 접근 방식을 어떻게 재구성하고 있는지에 대한 평가

2025년 미국의 관세 정책은 디지털 교육 밸류체인에 참여하는 플랫폼, 컨텐츠 제공업체, 하드웨어 공급업체에 새로운 고려 사항을 도입했습니다. 이러한 관세는 서버, 네트워크 장비, 소비자 장비의 국경 간 조달에 영향을 미치기 때문에 기업들은 공급업체 리스크와 총소유비용을 재평가할 필요가 있습니다. 조달팀은 공급망의 지리적 다양성과 비용, 리드타임, 컴플라이언스 위반 위험 사이의 균형을 평가했습니다.

관세는 하드웨어뿐만 아니라 호스팅된 인프라 및 엣지 도입에 대한 의사결정에도 영향을 미치기 때문에 기업들은 데이터센터 지역별 투자 및 클라우드 지역 전략이 수입 관련 혼란에 대한 노출을 줄일 수 있는지 여부를 검토하고 있습니다. 몰입형 경험을 위해 써드파티 하드웨어에 의존하는 컨텐츠 제공업체와 구독 서비스와 디바이스를 번들로 제공하는 컨텐츠 제공업체들도 학습자에게 저렴한 가격을 유지하기 위해 상업적 모델을 재검토하고 있습니다. 이에 대한 전략적 대응으로 공급업체와의 계약 재협상, 저사양 기기용 소프트웨어 최적화 가속화, 교육 이니셔티브에 대한 관세의 영향을 줄이기 위한 민관 파트너십을 모색하는 등 다양한 노력을 기울이고 있습니다.

세분화된 세분화 분석을 통해 제공 서비스, 컨텐츠 스타일, 학습 형식, 디바이스, 비즈니스 모델, 용도, 최종 사용자 코호트를 전략적 우선순위에 매핑합니다.

효과적인 세분화를 통해 학습자의 니즈와 교육기관의 요구사항에 맞게 학습자의 요구에 맞게 제공, 전달, 수익화를 할 수 있습니다. 제공 제품에 따라 시장은 서비스 및 소프트웨어를 포함하며, 서비스는 관리형 서비스와 전문 서비스로, 소프트웨어는 클라우드와 On-Premise 배포로 구분됩니다. 컨텐츠 유형에 따라 전자책, 시뮬레이션, 비디오 포맷에 이르기까지 다양한 컨텐츠가 존재하며, 각 컨텐츠에 맞는 제작 워크플로우, 저작권 관리 방식, 사용자 참여도 설계가 요구됩니다. 학습 유형에 따라 솔루션은 블렌디드 러닝, 강사 주도형 온라인 학습, 자기주도형 온라인 학습을 지원하며, 이는 평가 설계, 커뮤니티 기능, 학습자 유지 전략에 영향을 미칩니다.

목차

제1장 서문

제2장 조사 방법

제3장 주요 요약

제4장 시장 개요

제5장 시장 인사이트

제6장 미국 관세의 누적 영향 2025

제7장 AI의 누적 영향 2025

제8장 디지털 교육 시장 : 제공별

  • 서비스
    • 매니지드 서비스
    • 전문 서비스
  • 소프트웨어
    • 클라우드
    • On-Premise

제9장 디지털 교육 시장 : 컨텐츠 유형별

  • eBooks
  • 시뮬레이션
  • 비디오

제10장 디지털 교육 시장 : 학습 유형별

  • 혼합 학습
  • 강사 주도형 온라인 학습
  • 자기 주도형 온라인 학습

제11장 디지털 교육 시장 : 디바이스 호환성별

  • 스마트폰
  • 태블릿 및 랩톱

제12장 디지털 교육 시장 : 구독 모델별

  • 프리미엄
  • Pay-per-course
  • 구독 기반

제13장 디지털 교육 시장 : 용도별

  • 예술 및 인문과학
  • 비즈니스 및 매니지먼트
  • 건강 및 의료
  • IT 및 소프트웨어 개발
  • 언어학습
  • 마케팅 및 커뮤니케이션
  • 자기 개발
  • 과학, 기술, 공학, 수학(STEM)

제14장 디지털 교육 시장 : 최종사용자별

  • 기업
  • 정부 및 공공 부문
  • 개인 학습자 및 전문가
  • 비영리단체 및 NGO
  • 학교 및 대학
    • 고등교육 학생
    • K-12 학생

제15장 디지털 교육 시장 : 지역별

  • 아메리카
    • 북미
    • 라틴아메리카
  • 유럽, 중동 및 아프리카
    • 유럽
    • 중동
    • 아프리카
  • 아시아태평양

제16장 디지털 교육 시장 : 그룹별

  • ASEAN
  • GCC
  • EU
  • BRICS
  • G7
  • NATO

제17장 디지털 교육 시장 : 국가별

  • 미국
  • 캐나다
  • 멕시코
  • 브라질
  • 영국
  • 독일
  • 프랑스
  • 러시아
  • 이탈리아
  • 스페인
  • 중국
  • 인도
  • 일본
  • 호주
  • 한국

제18장 경쟁 구도

  • 시장 점유율 분석, 2024
  • FPNV 포지셔닝 매트릭스, 2024
  • 경쟁 분석
    • Coursera Inc.
    • Google LLC by Alphabet Inc.
    • ALISON by Capernaum Limited
    • BYJU'S
    • Canvas, LMS by Instructure, Inc.
    • Chegg, Inc.
    • DreamBox Learning, Inc.
    • EdX LLC.
    • Federica Web Learning
    • FutureLearn Limited
    • Intellipaat Software Solutions Pvt. Ltd.
    • Kadenze, Inc.
    • Liminex, Inc
    • LinkedIn Corporation by Microsoft Corporation
    • McGraw Hill
    • NovoEd, Inc.
    • Outschool, Inc.
    • Pluralsight LLC
    • RapL Inc.
    • Simplilearn Solutions
    • Skillsoft Limited
    • SMART Technologies ULC
    • Udacity, Inc.
    • Udemy, Inc.
    • Vedantu Innovations Private Limited
LSH

The Digital Education Market is projected to grow by USD 88.58 billion at a CAGR of 17.39% by 2032.

KEY MARKET STATISTICS
Base Year [2024] USD 24.54 billion
Estimated Year [2025] USD 28.67 billion
Forecast Year [2032] USD 88.58 billion
CAGR (%) 17.39%

An integrative overview of digital education evolution emphasizing platform interoperability, learner experience modernization, and strategic investment imperatives

Digital education is no longer an adjunct to traditional learning but a central driver of institutional resilience, workforce preparedness, and lifelong skill development. Over recent years, advances in pedagogy, platform engineering, and learner analytics have converged to create ecosystems where content, delivery, and assessment operate as coordinated components rather than isolated capabilities. This evolution has been shaped by demand-side shifts among learners seeking flexibility, employers prioritizing demonstrable skills, and public sector stakeholders emphasizing access and equity.

As organizations evaluate investments and partnerships, it is essential to view digital education through a systems lens that considers technology architecture, curricular design, learner experience, and monetization pathways together. Decision-makers should weigh the interoperability of tools, the portability of credentials, and the sustainability of content supply chains. In the paragraphs that follow, this summary frames the transformative shifts reshaping the landscape, examines regulatory influences such as tariff dynamics, and distills actionable segmentation and regional insights to support robust strategy formulation

How technological maturation and pedagogical innovation are converging to redefine credentialing, personalization, and learner-centric delivery in digital education

The landscape of digital education is undergoing transformative shifts driven by technological maturation, pedagogical innovation, and changing stakeholder expectations. Artificial intelligence and adaptive learning engines have progressed from experimental tools to operational components that personalize learning pathways, improve assessment fidelity, and surface micro-skills for employers. Simultaneously, cloud-native architectures and edge-optimized delivery have reduced latency and broadened access across device types, enabling richer multimedia content and synchronous collaboration at scale.

Pedagogy is shifting toward competency-based models that privilege demonstrable outcomes over seat-time, creating stronger alignment between learning providers and employer demand. This shift is accompanied by an emphasis on modular credentials and interoperable learner records that enable stacking of micro-credentials into recognized career pathways. Regulatory and policy environments are responding in parallel, introducing new frameworks for credential recognition and data privacy that influence platform design and partnership structures. Collectively, these shifts demand that leaders prioritize flexible architecture, invest in content reusability, and cultivate partnerships that extend both reach and credibility

Assessment of how recent United States tariff policies are reshaping supply chains, procurement strategies, and cost mitigation approaches across the digital education ecosystem

In 2025, tariff policies in the United States have introduced new considerations for platforms, content providers, and hardware suppliers that participate in the digital education value chain. These tariffs affect cross-border sourcing of servers, networking equipment, and consumer devices, prompting organizations to reassess supplier risk and total cost of ownership. Procurement teams are increasingly evaluating geographic diversity in supply chains and the tradeoffs between cost, lead time, and compliance exposure.

Beyond hardware, tariffs influence decisions about hosted infrastructure and edge deployments; organizations are examining whether localized data center investments or cloud region strategies mitigate exposure to import-related disruptions. Content providers that rely on third-party hardware for immersive experiences or that bundle devices with subscription services are also reconsidering commercial models to preserve affordability for learners. As a result, strategic responses have included renegotiating supplier agreements, accelerating software optimization for lower-spec devices, and exploring public-private partnerships that reduce the tariff impact for educational initiatives

Granular segmentation analysis that maps offerings, content modalities, learning formats, devices, business models, applications, and end-user cohorts to strategic priorities

Effective segmentation enables leaders to align offerings, distribution, and monetization with distinct learner needs and institutional requirements. Based on offering, the market encompasses Services and Software where Services break down into Managed Services and Professional Services while Software differentiates into Cloud and On Premise deployments; this split informs choices about total cost of ownership, implementation cadence, and customer support models. Based on content type, the industry spans eBooks, simulations, and video formats, each demanding a tailored production workflow, rights management approach, and user engagement design. Based on learning type, solutions serve blended learning, instructor-led online learning, and self-paced online learning modalities, which influence assessment design, community features, and learner retention strategies.

Based on device compatibility, offerings must account for smartphone and tablet & laptop experiences, ensuring responsive interfaces and media optimization that preserve pedagogical integrity across screens. Based on subscription model, providers operate within freemium, pay-per-course, and subscription-based frameworks, and these models determine customer acquisition tactics, lifetime value expectations, and content update cycles. Based on application, digital education reaches Arts & Humanities, Business & Management, Health & Medicine, IT & Software Development, Language Learning, Marketing & Communications, Personal Development, and STEM disciplines, each with unique content production standards, regulatory considerations, and employer signaling dynamics. Based on end user, services and products are tailored for corporates / enterprises, government & public sector, individual learners / professionals, nonprofits & NGOs, and schools & universities where schools & universities further segment into higher education students and K-12 students; this layered segmentation clarifies go-to-market prioritization, customer success requirements, and partnership possibilities

Regional dynamics and localization imperatives shaping platform strategies, regulatory compliance, and partnership models across diverse global markets

Regional dynamics continue to shape how digital education providers prioritize investment, partnership, and localization strategies across the Americas, Europe, Middle East & Africa, and Asia-Pacific. In the Americas, market sophistication is characterized by advanced corporate learning ecosystems, significant private investment in edtech startups, and a strong emphasis on credential portability and employer-aligned curricula. Organizations operating in this region focus on integrations with HR systems, skills validation, and partnerships with industry consortia to enhance recognition of digital credentials.

Europe, Middle East & Africa presents a heterogeneous landscape where regulatory frameworks, language diversity, and public sector procurement practices influence product design and go-to-market approaches. Data protection regimes and national credentialing policies require careful localization and compliance investments. In contrast, Asia-Pacific demonstrates rapid adoption driven by mobile-first consumption, government-led digital learning initiatives, and a large learner base pursuing upskilling for high-demand technical roles. Providers expanding across regions must balance global platform consistency with localized content, pricing, and partnership models to capture both scale and relevance

Competitive landscape insights revealing how integrated product, content, and partnership strategies create differentiated value and opportunity for niche specialists

Competitive positioning in digital education is determined by the ability to combine compelling content, reliable delivery, and measurable learner outcomes. Leading organizations demonstrate strength across product architecture, instructional design, and enterprise engagement capabilities, but there is also space for specialized providers that deliver deep domain expertise or superior adaptive learning engines. Strategic partnerships between content creators, platform vendors, and employers are increasingly common; these alliances accelerate time-to-market for industry-aligned curricula and broaden distribution channels.

Investment in learning science and assessment design differentiates market leaders by improving completion rates and employer trust in credentials. At the same time, customer success functions that embed analytics and workforce alignment into post-sale workflows sustain contract renewals and expand enterprise footprint. New entrants have opportunities where incumbents underperform on localization, affordability, or industry-specific certification; nimble providers can capture niche segments by focusing on integration simplicity, superior learner experience, and demonstrable outcomes for employers and institutions

Actionable, phased recommendations for leaders to secure interoperability, enhance credential value, and mitigate supply chain risks while driving adoption

Industry leaders should adopt a pragmatic, phased playbook that balances near-term operational resilience with long-term strategic differentiation. First, optimize platform interoperability and APIs to ensure content and credential portability across partner ecosystems, reducing integration friction and lowering buyer switching costs. Next, prioritize adaptive learning and assessment investments that measurably improve completion and competency signal quality, thereby strengthening ties with employers and accreditation bodies.

Simultaneously, reassess supply chain exposure by diversifying hardware and infrastructure suppliers and by optimizing software to perform effectively on lower-spec devices to mitigate tariff-related cost pressures. Localize content and compliance pathways for target regions to accelerate adoption, and experiment with hybrid subscription models that combine freemium acquisition with premium credential pathways. Finally, embed customer success and analytics into commercial agreements to convert initial deployments into sustainable enterprise relationships and to generate continuous improvement in pedagogy and learner outcomes

Transparent, multi-method research methodology combining primary stakeholder interviews, secondary analysis, and rigorous triangulation to validate insights

The underlying research approach for this report combines primary qualitative interviews with a cross-section of stakeholders, secondary literature synthesis, and structured triangulation to validate insights and interpretation. Primary engagement included discussions with product executives, learning designers, procurement officers, and institutional leaders to surface decision drivers, barriers to adoption, and emerging partnership models. Secondary sources were analyzed to contextualize technology trends, pedagogical advancements, and regulatory shifts, and were cross-referenced to ensure consistent interpretation across domains.

The methodology emphasizes reproducibility and transparency by documenting interview guides, thematic coding frameworks, and validation checkpoints used during analysis. Where possible, claims were corroborated across multiple sources to reduce single-source bias. The approach also incorporated scenario planning to test resilience against supply chain disruptions, policy shifts, and rapid changes in device adoption, enabling pragmatic recommendations that are robust under a range of plausible futures

Concise synthesis of strategic imperatives emphasizing interoperability, measurable credentialing, and supply chain resilience to secure sustained impact

The synthesis presented here underscores that digital education is entering a phase where technical capability, pedagogical integrity, and ecosystem orchestration determine long-term leadership. Providers that invest in interoperable architectures, adaptive learning, and measurable credentialing will be better positioned to meet employer demand and institutional priorities. Meanwhile, policy and procurement dynamics, including trade and tariff considerations, require proactive supply chain management and software optimization to preserve affordability and access.

Decision-makers should therefore prioritize initiatives that create durable value: modular content that supports multiple delivery modes, analytics that translate learning into career outcomes, and partnerships that extend recognition and distribution. By aligning strategy with these imperatives, organizations can convert current momentum into sustainable impact for learners, employers, and public institutions

Table of Contents

1. Preface

  • 1.1. Objectives of the Study
  • 1.2. Market Segmentation & Coverage
  • 1.3. Years Considered for the Study
  • 1.4. Currency & Pricing
  • 1.5. Language
  • 1.6. Stakeholders

2. Research Methodology

3. Executive Summary

4. Market Overview

5. Market Insights

  • 5.1. Increasing usage of digital education for corporate training and employee development
  • 5.2. Increasing adoption of digital education due to rising internet penetration and smartphone usage
  • 5.3. Collaborative partnerships between EdTech startups and universities catalyzing scalable hybrid learning ecosystems
  • 5.4. Usage of digital education due to the hybrid and remote learning shift
  • 5.5. Use of blockchain technology for secure certification and credentialing
  • 5.6. Growing use of AI and machine learning for personalized learning experiences
  • 5.7. Expanding role of gamification in enhancing student engagement and retention
  • 5.8. Rapid growth of mobile learning apps among students and professionals
  • 5.9. Expanding integration of VR and AR for immersive and experiential learning
  • 5.10. Increased investment in edtech startups and digital learning platforms

6. Cumulative Impact of United States Tariffs 2025

7. Cumulative Impact of Artificial Intelligence 2025

8. Digital Education Market, by Offering

  • 8.1. Services
    • 8.1.1. Managed Services
    • 8.1.2. Professional Services
  • 8.2. Software
    • 8.2.1. Cloud
    • 8.2.2. On Premise

9. Digital Education Market, by Content Type

  • 9.1. eBooks
  • 9.2. Simulations
  • 9.3. Video

10. Digital Education Market, by Learning Type

  • 10.1. Blended Learning
  • 10.2. Instructor-led Online Learning
  • 10.3. Self-paced Online Learning

11. Digital Education Market, by Device Compatibility

  • 11.1. Smartphone
  • 11.2. Tablet & Laptop

12. Digital Education Market, by Subscription Model

  • 12.1. Freemium
  • 12.2. Pay-per-course
  • 12.3. Subscription-based

13. Digital Education Market, by Application

  • 13.1. Arts & Humanities
  • 13.2. Business & Management
  • 13.3. Health & Medicine
  • 13.4. IT & Software Development
  • 13.5. Language Learning
  • 13.6. Marketing & Communications
  • 13.7. Personal Development
  • 13.8. Science, Technology, Engineering & Mathematics (STEM)

14. Digital Education Market, by End User

  • 14.1. Corporates / Enterprises
  • 14.2. Government & Public Sector
  • 14.3. Individual Learners / Professionals
  • 14.4. Nonprofits & NGOs
  • 14.5. Schools & Universities
    • 14.5.1. Higher Education Students
    • 14.5.2. K-12 Students

15. Digital Education Market, by Region

  • 15.1. Americas
    • 15.1.1. North America
    • 15.1.2. Latin America
  • 15.2. Europe, Middle East & Africa
    • 15.2.1. Europe
    • 15.2.2. Middle East
    • 15.2.3. Africa
  • 15.3. Asia-Pacific

16. Digital Education Market, by Group

  • 16.1. ASEAN
  • 16.2. GCC
  • 16.3. European Union
  • 16.4. BRICS
  • 16.5. G7
  • 16.6. NATO

17. Digital Education Market, by Country

  • 17.1. United States
  • 17.2. Canada
  • 17.3. Mexico
  • 17.4. Brazil
  • 17.5. United Kingdom
  • 17.6. Germany
  • 17.7. France
  • 17.8. Russia
  • 17.9. Italy
  • 17.10. Spain
  • 17.11. China
  • 17.12. India
  • 17.13. Japan
  • 17.14. Australia
  • 17.15. South Korea

18. Competitive Landscape

  • 18.1. Market Share Analysis, 2024
  • 18.2. FPNV Positioning Matrix, 2024
  • 18.3. Competitive Analysis
    • 18.3.1. Coursera Inc.
    • 18.3.2. Google LLC by Alphabet Inc.
    • 18.3.3. ALISON by Capernaum Limited
    • 18.3.4. BYJU'S
    • 18.3.5. Canvas, LMS by Instructure, Inc.
    • 18.3.6. Chegg, Inc.
    • 18.3.7. DreamBox Learning, Inc.
    • 18.3.8. EdX LLC.
    • 18.3.9. Federica Web Learning
    • 18.3.10. FutureLearn Limited
    • 18.3.11. Intellipaat Software Solutions Pvt. Ltd.
    • 18.3.12. Kadenze, Inc.
    • 18.3.13. Liminex, Inc
    • 18.3.14. LinkedIn Corporation by Microsoft Corporation
    • 18.3.15. McGraw Hill
    • 18.3.16. NovoEd, Inc.
    • 18.3.17. Outschool, Inc.
    • 18.3.18. Pluralsight LLC
    • 18.3.19. RapL Inc.
    • 18.3.20. Simplilearn Solutions
    • 18.3.21. Skillsoft Limited
    • 18.3.22. SMART Technologies ULC
    • 18.3.23. Udacity, Inc.
    • 18.3.24. Udemy, Inc.
    • 18.3.25. Vedantu Innovations Private Limited
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