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Smart Education and Learning Market By Component, By Learning Mode, By End User: Global Opportunity Analysis and Industry Forecast, 2023-2032

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    Report

  • 267 Pages
  • June 2023
  • Region: Global
  • Allied Market Research
  • ID: 4580498
Smart education and learning focus on enabling continuous learning throughout an individual's life. It involves embracing new technologies, online resources, and flexible learning approaches to support ongoing skill development, professional growth, and knowledge acquisition beyond formal educational institutions. Lifelong learning aims to meet the evolving needs of individuals in a rapidly changing world. It facilitates personalized learning experiences tailored to individual learner needs and preferences. Adaptive learning systems, data analytics, and AI-driven technologies analyze learner data to provide customized content, pace, and feedback. Personalized learning promotes greater engagement, motivation, and improved learning outcomes.

Surge in demand for online and remote learning tools and favorable government initiatives and corporate fundings to promote smart education are driving the growth of the market. In addition, the Increase in need for interactive and personalized learning environment is fueling the growth of the smart education and learning market. However, Lack of digital literacy and skills and data privacy and security concerns limits the growth of this market. Conversely, rise in implementation of AR and VR technology in the education sector is anticipated to provide numerous opportunities for the expansion of the market during the forecast period
The global smart education and learning market is segmented into component, learning mode, end user, and region. Based on component, the market is divided into software, services, educational content, and hardware. On the basis of learning mode, it is categorized into virtual instructor-led training, simulation-based learning, social learning, blended learning, adaptive learning, and collaborative learning. By end user, it is divided into academics and corporate. Region-wise, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.

The global smart education and learning market is dominated by key players such as Adobe Systems Incorporated, Blackboard Inc, Cisco Systems, Inc, Desire2Learn Incorporated, Educomp Solutions Limited, Ellucian Company L.P, NIIT Limited, Saba Software, Inc, SMART Technologies Inc, Unit4 Business Software Ltd. These players have adopted various strategies to Increase their market penetration and strengthen their position in the industry.

Key Benefits for Stakeholders
  • The study provides an in-depth analysis of the global smart education and learning market forecast along with the current & future trends to explain the imminent investment pockets.
  • Information about key drivers, restraints, & opportunities and their impact analysis on global smart education and learning market trends is provided in the report.
  • Porter’s five forces analysis illustrates the potency of the buyers and suppliers operating in the industry.
  • The quantitative analysis of the market from 2023 to 2032 is provided to determine the market potential.

Key Market Segments

By Component

  • Hardware
  • Software
  • Service

By Learning Mode

  • Virtual Instructor-led Training
  • Simulation-Based Learning
  • Social Learning
  • Blended Learning
  • Adaptive Learning
  • Collaborative Learning

By End User

  • Academics
  • Corporate

By Region

  • North America
  • U.S.
  • Canada
  • Europe
  • UK
  • Germany
  • France
  • Italy
  • Spain
  • Rest of Europe
  • Asia-Pacific
  • China
  • Japan
  • India
  • Australia
  • South Korea
  • Rest of Asia-Pacific
  • LAMEA
  • Latin America
  • Middle East
  • Africa

Key Market Players

  • Adobe Inc.
  • Blackboard Inc.
  • Cisco Systems, Inc.
  • Desire2Learn Incorporated
  • Educomp Solutions Limited
  • Ellucian Company L.P
  • NIIT Limited
  • Saba Software, Inc.
  • SMART Technologies Inc.
  • Unit4 Business Software Ltd.

Table of Contents

CHAPTER 1: INTRODUCTION
1.1. Report description
1.2. Key benefits for stakeholders
1.3. Research methodology
1.3.1. Secondary research
1.3.2. Primary research
1.3.3. Analyst tools & models
CHAPTER 2: EXECUTIVE SUMMARY
2.1. CXO perspective
CHAPTER 3: MARKET OVERVIEW
3.1. Market definition and scope
3.2. Key findings
3.2.1. Top impacting factors
3.2.2. Top investment pockets
3.2.3. Top winning strategies
3.2.3.1. Top winning strategies, by year, 2015-2018*
3.2.3.2. Top winning strategies, by development, 2015-2018* (%)
3.2.3.3. Top winning strategies, by company, 2015-2018*
3.3. Porter's five forces analysis
3.4. Key Player Positioning, 2017
3.5. Market dynamics
3.5.1. Drivers
3.5.1.1. Continuous Increased acceptance of e-learning in corporate and academic set-ups
3.5.1.2. Proactive government initiatives in developing markets
3.5.1.3. Technological advancements in smart education & e-learning
3.5.1.4. Growing number of mobile learning applications
3.5.2. Restraints
3.5.2.1. Security and privacy concerns
3.5.2.2. High cost of implementation
3.5.3. Opportunities
3.5.3.1. Emergence of bring-your-own-device (BYOD) trend
3.5.3.2. Upsurge in virtual schools
CHAPTER 4: SMART EDUCATION & LEARNING MARKET, BY TYPE
4.1. Overview
4.2. Software
4.2.1. Key market trends
4.2.2. Key growth factors and opportunities
4.2.3. Market size and forecast, by region
4.2.3.1. Learning Management System
4.2.3.2. Learning Content Management System
4.2.3.3. Adaptive Learning Platform
4.2.3.4. Assessment Systems
4.2.3.5. Others
4.2.4. Market analysis by country
4.3. Service
4.3.1. Key market trends
4.3.2. Key growth factors and opportunities
4.3.3. Market size and forecast, by region
4.3.3.1. Training & Certification
4.3.3.2. Consulting
4.3.3.3. Managed Hosting
4.3.3.4. Others
4.3.4. Market analysis by country
4.4. Educational Content
4.4.1. Key market trends
4.4.2. Key growth factors and opportunities
4.4.3. Market size and forecast, by region
4.4.3.1. Audio Based Content
4.4.3.2. Text Content
4.4.3.3. Video-based Content
4.4.4. Market analysis by country
4.5. Hardware
4.5.1. Key market trends
4.5.2. Key growth factors and opportunities
4.5.3. Market size and forecast, by region
4.5.4. Market analysis by country
CHAPTER 5: SMART EDUCATION & LEARNING MARKET, BY LEARNING MODE
5.1. Overview
5.2. Virtual Instructor-led Training
5.2.1. Key market trends
5.2.2. Key growth factors and opportunities
5.2.3. Market size and forecast, by region
5.2.4. Market analysis by country
5.3. Simulation-Based Learning
5.3.1. Key market trends
5.3.2. Key growth factors and opportunities
5.3.3. Market size and forecast, by region
5.3.4. Market analysis by country
5.4. Social Learning
5.4.1. Key market trends
5.4.2. Key growth factors and opportunities
5.4.3. Market size and forecast, by region
5.4.4. Market analysis by country
5.5. Blended Learning
5.5.1. Key market trends
5.5.2. Key growth factors and opportunities
5.5.3. Market size and forecast, by region
5.5.4. Market analysis by country
5.6. Adaptive Learning
5.6.1. Key market trends
5.6.2. Key growth factors and opportunities
5.6.3. Market size and forecast, by region
5.6.4. Market analysis by country
5.7. Collaborative Learning
5.7.1. Key market trends
5.7.2. Key growth factors and opportunities
5.7.3. Market size and forecast, by region
5.7.4. Market analysis by country
CHAPTER 6: SMART EDUCATION & LEARNING MARKET, BY END USER
6.1. Overview
6.2. Academic
6.2.1. Key market trends
6.2.2. Key growth factors and opportunities
6.2.3. Market size and forecast, by region
6.2.4. Market analysis by country
6.3. Corporate
6.3.1. Key market trends
6.3.2. Key growth factors and opportunities
6.3.3. Market size and forecast, by region
6.3.4. Market analysis by country
CHAPTER 7: SMART EDUCATION & LEARNING MARKET, BY GEOGRAPHY
7.1. Overview
7.2. North America
7.2.1. Key market trends
7.2.2. Key growth factors and opportunities
7.2.3. Market size and forecast
7.2.3.1. Market size and forecast, by type
7.2.3.2. Market size and forecast, by learning mode
7.2.3.3. Market size and forecast, by end user
7.2.3.4. Market size and forecast, by country
7.2.3.5. U.S.
7.2.3.5.1. Market size and forecast, by type
7.2.3.5.2. Market size and forecast, by learning mode
7.2.3.5.3. Market size and forecast, by end user
7.2.3.6. Canada
7.2.3.6.1. Market size and forecast, by type
7.2.3.6.2. Market size and forecast, by learning mode
7.2.3.6.3. Market size and forecast, by end user
7.2.3.7. Mexico
7.2.3.7.1. Market size and forecast, by type
7.2.3.7.2. Market size and forecast, by learning mode
7.2.3.7.3. Market size and forecast, by end user
7.3. Europe
7.3.1. Key market trends
7.3.2. Key growth factors and opportunities
7.3.3. Market size and forecast
7.3.3.1. Market size and forecast, by type
7.3.3.2. Market size and forecast, by learning mode
7.3.3.3. Market size and forecast, by end user
7.3.3.4. Market size and forecast, by country
7.3.3.5. UK
7.3.3.5.1. Market size and forecast, by type
7.3.3.5.2. Market size and forecast, by learning mode
7.3.3.5.3. Market size and forecast, by end user
7.3.3.6. Germany
7.3.3.6.1. Market size and forecast, by type
7.3.3.6.2. Market size and forecast, by learning mode
7.3.3.6.3. Market size and forecast, by end user
7.3.3.7. France
7.3.3.7.1. Market size and forecast, by type
7.3.3.7.2. Market size and forecast, by learning mode
7.3.3.7.3. Market size and forecast, by end user
7.3.3.8. Rest of Europe
7.3.3.8.1. Market size and forecast, by type
7.3.3.8.2. Market size and forecast, by learning mode
7.3.3.8.3. Market size and forecast, by end user
7.4. Asia-Pacific
7.4.1. Key market trends
7.4.2. Key growth factors and opportunities
7.4.3. Market size and forecast
7.4.3.1. Market size and forecast, by type
7.4.3.2. Market size and forecast, by learning mode
7.4.3.3. Market size and forecast, by end user
7.4.3.4. Market size and forecast, by country
7.4.3.5. China
7.4.3.5.1. Market size and forecast, by type
7.4.3.5.2. Market size and forecast, by learning mode
7.4.3.5.3. Market size and forecast, by end user
7.4.3.6. India
7.4.3.6.1. Market size and forecast, by type
7.4.3.6.2. Market size and forecast, by learning mode
7.4.3.6.3. Market size and forecast, by end user
7.4.3.7. Japan
7.4.3.7.1. Market size and forecast, by type
7.4.3.7.2. Market size and forecast, by learning mode
7.4.3.7.3. Market size and forecast, by end user
7.4.3.8. South Korea
7.4.3.8.1. Market size and forecast, by type
7.4.3.8.2. Market size and forecast, by learning mode
7.4.3.8.3. Market size and forecast, by end user
7.4.3.9. Australia
7.4.3.9.1. Market size and forecast, by type
7.4.3.9.2. Market size and forecast, by learning mode
7.4.3.9.3. Market size and forecast, by end user
7.4.3.10. Singapore
7.4.3.10.1. Market size and forecast, by type
7.4.3.10.2. Market size and forecast, by learning mode
7.4.3.10.3. Market size and forecast, by end user
7.4.3.11. Indonesia
7.4.3.11.1. Market size and forecast, by type
7.4.3.11.2. Market size and forecast, by learning mode
7.4.3.11.3. Market size and forecast, by end user
7.4.3.12. Thailand
7.4.3.12.1. Market size and forecast, by type
7.4.3.12.2. Market size and forecast, by learning mode
7.4.3.12.3. Market size and forecast, by end user
7.4.3.13. Vietnam
7.4.3.13.1. Market size and forecast, by type
7.4.3.13.2. Market size and forecast, by learning mode
7.4.3.13.3. Market size and forecast, by end user
7.4.3.14. Malaysia
7.4.3.14.1. Market size and forecast, by type
7.4.3.14.2. Market size and forecast, by learning mode
7.4.3.14.3. Market size and forecast, by end user
7.4.3.15. Philippines
7.4.3.15.1. Market size and forecast, by type
7.4.3.15.2. Market size and forecast, by learning mode
7.4.3.15.3. Market size and forecast, by end user
7.4.3.16. Rest of Asia-Pacific
7.4.3.16.1. Market size and forecast, by type
7.4.3.16.2. Market size and forecast, by learning mode
7.4.3.16.3. Market size and forecast, by end user
7.5. LAMEA
7.5.1. Key market trends
7.5.2. Key growth factors and opportunities
7.5.3. Market size and forecast
7.5.3.1. Market size and forecast, by type
7.5.3.2. Market size and forecast, by learning mode
7.5.3.3. Market size and forecast, by end user
7.5.3.4. Market size and forecast, by country
7.5.3.5. Latin America
7.5.3.5.1. Market size and forecast, by type
7.5.3.5.2. Market size and forecast, by learning mode
7.5.3.5.3. Market size and forecast, by end user
7.5.3.6. Middle East
7.5.3.6.1. Market size and forecast, by type
7.5.3.6.2. Market size and forecast, by learning mode
7.5.3.6.3. Market size and forecast, by end user
7.5.3.7. Africa
7.5.3.7.1. Market size and forecast, by type
7.5.3.7.2. Market size and forecast, by learning mode
7.5.3.7.3. Market size and forecast, by end user
CHAPTER 8: COMPANY PROFILES
8.1. Adobe Systems Incorporated
8.1.1. Company overview
8.1.2. Company snapshot
8.1.3. Operating business segments
8.1.4. Product portfolio
8.1.5. Business performance
8.1.6. Key strategic moves and developments
8.2. Blackboard Inc.
8.2.1. Company overview
8.2.2. Company snapshot
8.2.3. Operating business segments
8.2.4. Product portfolio
8.2.5. Key strategic moves and developments
8.3. Cisco Systems, Inc.
8.3.1. Company overview
8.3.2. Company snapshot
8.3.3. Operating business segments
8.3.4. Product portfolio
8.3.5. Business performance
8.3.6. Key strategic moves and developments
8.4. Desire2Learn Incorporated
8.4.1. Company overview
8.4.2. Company snapshot
8.4.3. Product portfolio
8.4.4. Key strategic moves and developments
8.5. Educomp Solutions Limited
8.5.1. Company overview
8.5.2. Company snapshot
8.5.3. Operating business segments
8.5.4. Product portfolio
8.5.5. Business performance
8.5.6. Key strategic moves and developments
8.6. Ellucian Company L.P.
8.6.1. Company overview
8.6.2. Company snapshot
8.6.3. Operating business segments
8.6.4. Product portfolio
8.6.5. Key strategic moves and developments
8.7. NIIT Limited
8.7.1. Company overview
8.7.2. Company snapshot
8.7.3. Operating business segments
8.7.4. Product portfolio
8.7.5. Business performance
8.7.6. Key strategic moves and developments
8.8. Saba Software, Inc.
8.8.1. Company overview
8.8.2. Company snapshot
8.8.3. Operating business segments
8.8.4. Product portfolio
8.8.5. Key strategic moves and developments
8.9. SMART Technologies Inc.
8.9.1. Company overview
8.9.2. Company snapshot
8.9.3. Operating business segments
8.9.4. Product portfolio
8.9.5. Business performance
8.9.6. Key strategic moves and developments
8.10. Unit4 Business Software Ltd.
8.10.1. Company overview
8.10.2. Company snapshot
8.10.3. Operating business segments
8.10.4. Product portfolio
8.10.5. Key strategic moves and developments

Executive Summary

According to a new report, titled, 'Smart Education and Learning Market,' The smart education and learning market was valued at $259.98 billion in 2022, and is estimated to reach $1359.9 billion by 2032, growing at a CAGR of 18.4% from 2023 to 2032.

Smart education and learning are characterized as a self-directed, propelled, versatile, resource-enriched, and technology-embedded framework. With developing mechanical progress, anything may be instrumented and interconnected with a brilliant plan. So the instruction is additionally one of these. Keen instruction has picked up critical ubiquity in later a long time. Instructive ventures have been performed as shrewd instruction over the globe in later a long time. Malaysia is the primary, one who carries out a keen instruction framework.

Key factors driving the growth of the smart education and learning market include surge in demand for online and remote learning tools and favorable government initiatives and corporate funding to promote smart education, and increase in need for interactive and personalized learning environment. The increase in the need for an interactive and personalized learning environment is a significant driver of the growth of the smart education and learning market. Learners constantly seek engaging, tailored educational experiences that cater to individual needs and preferences. As a result, enterprises constantly innovate innovative solutions and services to provide an effective learning system as they focus on improving learning operations, sustainability, experience, and business vitality. For instance, in March 2023, Moodle launched Moodle India, an online learning platform. It supports 41 billion courses in 142 languages globally and has assisted many educational institutions and organizations in facilitating the enrollment of over 1.8 billion students. These development strategies significantly contribute to the huge potential for the growth and development of the smart education and learning market.

The market also offers growth opportunities to the key players in the market. The increase in adoption of advanced technologies such as AR and VR in the education sector has proliferated the demand for smart education and learning. It is the key to optimizing learning processes with the integration of advanced AR and VR technologies. Leveraging automation trends and the use of smart data in online learning management could lead to numerous benefits, such as videos of instructors in front of an actual class. In addition, the technical developments accelerate the digital transformation initiatives to recover lost time, reduce the cost of service, and de-risk traditional learning models. The technological breakthrough in the development of learning infrastructure thus led to a surge in demand for smart education and learning to improve process optimization and end-user experience for real-time monitoring and control. These factors are expected to propel market growth. Furthermore, the integration of AR and VR technologies offers immersive and interactive learning experiences that enhance engagement, understanding, and knowledge retention. In addition, it prevents the anticipated process inefficiency through predictive simulation. Hence, several companies and government authorities leverage advanced technologies to improve the maintenance and monitoring of smart education infrastructure. For instance, in April 2023, Meta launched several training workshops to demonstrate to teachers in Poland how to integrate AR and VR technologies in the classroom. This initiative is expected to deliver new user experiences coupled with modernized technology infrastructure in the cloud segment, thus revolutionizing the education system. Furthermore, rise in adoption of other advanced technologies such as AI, blockchain, and IoT is expected to create new opportunities for market growth.

The smart education and learning market is segmented on the basis of component, learning mode, end user, and region. On the basis of component, the market is divided into software, services, educational content, and hardware. On the basis of learning mode, it is categorized into virtual instructor-led training, simulation-based learning, social learning, blended learning, adaptive learning, and collaborative learning. On the basis of end user, it is bifurcated into academics and corporate. Region wise, it is analyzed across North America (the U.S., Canada), Europe (the UK, Germany, France, Spain, Italy, and rest of Europe), Asia-Pacific (China, Japan, South Korea, India, Australia, and rest of Asia-Pacific), and LAMEA (Latin America, Middle East and Africa).

The key players profiled in the study include Adobe Systems Incorporated, Blackboard Inc, Cisco Systems, Inc, Desire2Learn Incorporated, Educomp Solutions Limited, Ellucian Company L.P, NIIT Limited, Saba Software, Inc, SMART Technologies Inc, Unit4 Business Software Ltd. The players in the market have been actively engaged in the adoption various strategies such as acquisition, and partnership to remain competitive and gain advantage over the competitors in the market. For instance, in April 2020, Cornerstone On Demand Inc. acquired Saba Software to expand reach and ability to assist a larger and diverse group of clients, realize their potential with the right learning and development opportunities through combined company effort. The acquisition aimed to attain more than 75 billion users and serve approximately 7000 organizations of all sizes around the globe.

Key Market Insights

  • By component, the software segment was the highest revenue contributor to the market, and is estimated to reach $815.72 billion by 2032, with a CAGR of 20.9%. However, the software segment is estimated to be the fastest growing segment with the CAGR of 20.9% during the forecast period.
  • By learning mode, the blended learning segment dominated the global market, and is estimated to reach $226.38 billion by 2032, with a CAGR of 9.3%. However, the adaptive learning segment is expected to be the fastest growing segment with the CAGR 23.2% during the smart education and learning market forecast.
  • Based on region, Europe was the highest revenue contributor, accounting for $86.39 billion in 2022, and is estimated to reach $491.19 billion by 2032, with a CAGR of 19.4%.

Companies Mentioned

  • Adobe Inc.
  • Blackboard Inc.
  • Cisco Systems, Inc.
  • Desire2Learn Incorporated
  • Educomp Solutions Limited
  • Ellucian Company L.P
  • NIIT Limited
  • Saba Software, Inc.
  • SMART Technologies Inc.
  • Unit4 Business Software Ltd.

Methodology

The analyst offers exhaustive research and analysis based on a wide variety of factual inputs, which largely include interviews with industry participants, reliable statistics, and regional intelligence. The in-house industry experts play an instrumental role in designing analytic tools and models, tailored to the requirements of a particular industry segment. The primary research efforts include reaching out participants through mail, tele-conversations, referrals, professional networks, and face-to-face interactions.

They are also in professional corporate relations with various companies that allow them greater flexibility for reaching out to industry participants and commentators for interviews and discussions.

They also refer to a broad array of industry sources for their secondary research, which typically include; however, not limited to:

  • Company SEC filings, annual reports, company websites, broker & financial reports, and investor presentations for competitive scenario and shape of the industry
  • Scientific and technical writings for product information and related preemptions
  • Regional government and statistical databases for macro analysis
  • Authentic news articles and other related releases for market evaluation
  • Internal and external proprietary databases, key market indicators, and relevant press releases for market estimates and forecast

Furthermore, the accuracy of the data will be analyzed and validated by conducting additional primaries with various industry experts and KOLs. They also provide robust post-sales support to clients.

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